{"pageNumber":"331","pageRowStart":"8250","pageSize":"25","recordCount":40783,"records":[{"id":70202877,"text":"sir20195025 - 2019 - Ordovician Point Pleasant/Utica-Lower Paleozoic Total Petroleum System—Revisions to the Utica-Lower Paleozoic Total Petroleum System in the Appalachian Basin Province","interactions":[],"lastModifiedDate":"2019-04-24T09:27:19","indexId":"sir20195025","displayToPublicDate":"2019-04-23T11:15:00","publicationYear":"2019","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":"2019-5025","displayTitle":"Ordovician Point Pleasant/Utica-Lower Paleozoic Total Petroleum System—Revisions to the Utica-Lower Paleozoic Total Petroleum System in the Appalachian Basin Province","title":"Ordovician Point Pleasant/Utica-Lower Paleozoic Total Petroleum System—Revisions to the Utica-Lower Paleozoic Total Petroleum System in the Appalachian Basin Province","docAbstract":"

Hydrocarbon reserves and technically recoverable undiscovered resources in continuous accumulations are present in Upper Ordovician strata in the Appalachian Basin Province. The province includes parts of New York, Pennsylvania, Ohio, Maryland, West Virginia, Virginia, Kentucky, Tennessee, Georgia, and Alabama. The Upper Ordovician strata are part of the previously defined Utica-Lower Paleozoic Total Petroleum System (TPS) that extends from New York and southern Canada to Tennessee. This publication presents a revision to the hydrocarbon source rocks in the TPS, a change to the name of the TPS, and changes to the geographic extent of the Utica-Lower Paleozoic TPS. The revision to the TPS recognizes the Upper Ordovician Point Pleasant Formation as a major hydrocarbon source rock in this TPS. Consequently, the name of the TPS is changed to Ordovician Point Pleasant/Utica-Lower Paleozoic TPS. The most significant modification to the boundary of the newly defined Ordovician Point Pleasant/Utica-Lower Paleozoic TPS is a westward extension in the southwesterly portion of the TPS, adding areas in Ohio, Indiana, Kentucky, and Tennessee in order to include Ordovician strata, including potential petroleum source rocks, from the subsurface to their near-surface exposure. Also, portions of the former Utica-Lower Paleozoic TPS are now excluded from the newly defined TPS in a portion of northwestern Ohio and adjacent States to eliminate overlap with the Ordovician to Devonian Composite TPS in the Michigan basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195025","collaboration":" ","usgsCitation":"Enomoto, C.B., Trippi, M.H., and Higley, D.K., 2019, Ordovician Point Pleasant/Utica-Lower Paleozoic Total Petroleum System—Revisions to the Utica-Lower Paleozoic Total Petroleum System in the Appalachian Basin Province: U.S. Geological Survey Scientific Investigations Report 2019–5025, \n6 p., https://doi.org/10.3133/sir20195025. ","productDescription":"Report: iii, 14 p.; 1 Figure","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099699","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363034,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5025/sir20195025.pdf","text":"Report","size":"3.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5025"},{"id":363033,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5025/coverthb.jpg"},{"id":363035,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2019/5025/sir20195025_fig2.pdf","text":"Figure 2","size":"345 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Correlation chart of the stratigraphic units in the Ordovician Point Pleasant/Utica-Lower Paleozoic Total Petroleum System"}],"country":"United States","otherGeospatial":"Appalachian Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86,\n 36\n ],\n [\n -74,\n 36\n ],\n [\n -74,\n 43\n ],\n [\n -86,\n 43\n ],\n [\n -86,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Energy Resources Science Center
U.S. Geological Survey
954 National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-04-23","noUsgsAuthors":false,"publicationDate":"2019-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trippi, Michael H. 0000-0002-1398-3427 mtrippi@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":941,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"mtrippi@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higley, Debra K. 0000-0001-8024-9954","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":117545,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":760362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215103,"text":"70215103 - 2019 - Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse","interactions":[],"lastModifiedDate":"2020-10-07T15:53:33.666983","indexId":"70215103","displayToPublicDate":"2019-04-23T10:49:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse","docAbstract":"

The use of single nucleotide polymorphism (SNP) arrays to generate large SNP datasets for comparison purposes have recently become an attractive alternative to other genotyping methods. Although most SNP arrays were originally developed for domestic organisms, they can be effectively applied to wild relatives to obtain large panels of SNPs. In this study, we tested the cross-species application of the Affymetrix 600K Chicken SNP array in five species of North American prairie grouse (Centrocercus and Tympanuchus genera). Two individuals were genotyped per species for a total of ten samples. A high proportion (91%) of the total 580 961 SNPs were genotyped in at least one individual (73–76% SNPs genotyped per species). Principal component analysis with autosomal SNPs separated the two genera, but failed to clearly distinguish species within genera. Gene ontology analysis identified a set of genes related to morphogenesis and development (including genes involved in feather development), which may be primarily responsible for large phenotypic differences between Centrocercus and Tympanuchus grouse. Our study provided evidence for successful cross-species application of the chicken SNP array in grouse which diverged ca. 37 mya from the chicken lineage. As far as we are aware, this is the first reported application of a SNP array in non-passerine birds, and it demonstrates the feasibility of using commercial SNP arrays in research on non-model bird species.


","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42885-5","usgsCitation":"Minias, P., Dunn, P.O., Whittingham, L.A., Johnson, J.A., and Oyler-McCance, S.J., 2019, Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse: Scientific Reports, v. 9, 6407, 10 p., https://doi.org/10.1038/s41598-019-42885-5.","productDescription":"6407, 10 p.","ipdsId":"IP-105265","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42885-5","text":"Publisher Index Page"},{"id":379178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2019-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Minias, Piotr","contributorId":168775,"corporation":false,"usgs":false,"family":"Minias","given":"Piotr","email":"","affiliations":[{"id":25360,"text":"University of Lodz","active":true,"usgs":false}],"preferred":false,"id":800878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Peter O.","contributorId":168778,"corporation":false,"usgs":false,"family":"Dunn","given":"Peter","email":"","middleInitial":"O.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":800879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittingham, Linda A.","contributorId":168777,"corporation":false,"usgs":false,"family":"Whittingham","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":800880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Jeff A.","contributorId":196578,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":800881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202671,"text":"ofr20191026 - 2019 - Adaptive management of flows from R.L. Harris Dam (Tallapoosa River, Alabama)—Stakeholder process and use of biological monitoring data for decision making","interactions":[],"lastModifiedDate":"2019-11-22T06:49:08","indexId":"ofr20191026","displayToPublicDate":"2019-04-22T14:42:09","publicationYear":"2019","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":"2019-1026","displayTitle":"Adaptive Management of Flows from R.L. Harris Dam (Tallapoosa River, Alabama)—Stakeholder Process and Use of Biological Monitoring Data for Decision Making","title":"Adaptive management of flows from R.L. Harris Dam (Tallapoosa River, Alabama)—Stakeholder process and use of biological monitoring data for decision making","docAbstract":"

Adaptive management has been applied to problems with multiple conflicting objectives in various natural resources settings to learn how management actions affect divergent values regarding system response. Hydropower applications have only recently begun to emerge in the field, yet in the specific example reported herein, stakeholders invested in determining the best management alternatives for attainment of a suite of objectives outlined in a long-term adaptive management program below R.L. Harris Dam, a large, privately owned dam in Alabama. Stakeholders convened an objective-setting workshop to engage a governance structure and developed a decision support model to determine appropriate actions that optimized stakeholder values. The process led to implemented change in dam operation inclusive of incorporating hypothetical responses in system parameters to management. To account for the iterative loop of adaptive management, yearly monitoring of state variables that approximated many stakeholder objectives was performed from 2005 to 2016 and data collected were incorporated into the decision model. Specific analysis of fish and macroinvertebrate population responses indicated a less than satisfactory response for some stakeholders to the flow-management changes at the dam. Uncertainty regarding the best management to provide adequate hydrologic and thermal habitats for fauna and boatable days for recreationists still exists. The project led to a Federal Energy Regulatory Commission process for renewing the license to operate the dam (beginning in 2018); adaptive management could be a viable path forward to ensure stakeholder satisfaction related to new management options.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191026","collaboration":"Prepared in cooperation with the Alabama Department of Conservation and Natural Resources, Alabama Power Company, U.S. Fish and Wildlife Service, and R.L. Harris Dam Adaptive Management Stakeholders","usgsCitation":"Irwin, E.R., ed., 2019, Adaptive management of flows from R.L. Harris Dam (Tallapoosa River, Alabama)—Stakeholder process and use of biological monitoring data for decision making: U.S. Geological Survey Open-File Report 2019–1026, 93 p., https://doi.org/10.3133/ofr20191026.","productDescription":"Report: x, 93 p.; 4 Appendixes; 1 Table","numberOfPages":"108","onlineOnly":"Y","ipdsId":"IP-096592","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":363058,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026_appendix_A2.pdf","text":"Appendix A2","size":"302 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026 Appendix A2","linkHelpText":"– Initial Bayesian Belief Network (2005), Training Cases and Learned Networks (2005–16)"},{"id":363057,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026_appendix_A1.pdf","text":"Appendix A1","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026 Appendix A1","linkHelpText":"– Transcripts from the Adaptive Management Workshop, April 30–May 1, 2003"},{"id":363061,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026_table_C2.1.pdf","text":"Table C2.1","size":"198 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026 Table C2.1","linkHelpText":"– Sum of total observations for each macroinvertebrate taxon at all sites, listed alphabetically by class, order, family and taxon"},{"id":363060,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026_appendix_B.pdf","text":"Appendix B","size":"296 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026 Appendix B","linkHelpText":"– R code used to conduct metapopulation analyses"},{"id":363056,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026.pdf","text":"Report","size":"5.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026"},{"id":363053,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1026/coverthb3.jpg"},{"id":363059,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1026/ofr20191026_appendix_A3.pdf","text":"Appendix A3","size":"112 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1026 Appendix A3","linkHelpText":"– Charter of the R.L. Harris Stakeholders Board"}],"country":"United States","state":"Alabama","otherGeospatial":"Tallapoosa River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.7208251953125,\n 32.93953889877841\n ],\n [\n -85.48324584960936,\n 32.93953889877841\n ],\n [\n -85.48324584960936,\n 33.6283419913718\n ],\n [\n -85.7208251953125,\n 33.6283419913718\n ],\n [\n -85.7208251953125,\n 32.93953889877841\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Alabama Cooperative Fish and Wildlife Research Unit
School of Forestry and Wildlife Sciences
Auburn University
602 Duncan Dr.
Auburn, AL 36849–5418

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-22","noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"editors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":761094,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":759409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":759417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Kathryn D.M.","contributorId":214237,"corporation":false,"usgs":false,"family":"Kennedy","given":"Kathryn","email":"","middleInitial":"D.M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":759415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lloyd, M. Clint","contributorId":214235,"corporation":false,"usgs":false,"family":"Lloyd","given":"M.","email":"","middleInitial":"Clint","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":759412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ouellette Coffman, Kristie M.","contributorId":214233,"corporation":false,"usgs":false,"family":"Ouellette Coffman","given":"Kristie","email":"","middleInitial":"M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":759410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kosnicki, Ely","contributorId":214234,"corporation":false,"usgs":false,"family":"Kosnicki","given":"Ely","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":759411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hess, Tom","contributorId":214236,"corporation":false,"usgs":false,"family":"Hess","given":"Tom","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":759413,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203218,"text":"70203218 - 2019 - It’s about time: A synthesis of changing phenology in the Gulf of Maine ecosystem","interactions":[],"lastModifiedDate":"2020-07-27T19:04:20.139567","indexId":"70203218","displayToPublicDate":"2019-04-22T13:45:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"It’s about time: A synthesis of changing phenology in the Gulf of Maine ecosystem","docAbstract":"The timing of recurring biological and seasonal environmental events is changing on a global scale relative to temperature and other climate drivers. This study considers the Gulf of Maine ecosystem, a region of high social and ecological importance in the Northwest Atlantic Ocean and synthesizes current knowledge of 1) key seasonal processes, patterns, and events; 2) direct evidence for shifts in timing; 3) implications of phenological responses for linked ecological-human systems; and 4) potential phenology-focused adaptation strategies and actions. Twenty studies demonstrated shifts in timing of regional marine organisms and seasonal environmental events. The most common response was earlier timing, observed in spring onset, spring and winter hydrology, zooplankton abundance, and diadromous fish migrations. Later timing was documented for fall onset, reproduction and fledging in Atlantic puffins, spring and fall phytoplankton blooms, and occurrence of some larval fishes. Changes in event duration generally increased and were detected in zooplankton peak abundance, early life history periods of macro-invertebrates, and lobster fishery landings. Reduced duration was observed in winter-spring ice-affected stream flows. Two studies projected phenological changes, both finding diapause duration would decrease in zooplankton under future climate scenarios. Phenological responses were species-specific and varied depending on the environmental driver, spatial, and temporal scales evaluated. Overall, a wide range of baseline phenology and relevant modeling studies exist, yet surprisingly few document long-term shifts. Results reveal a need for increased emphasis on phenological shifts in the Gulf of Maine, identify opportunities for future research and consideration of phenological changes in adaptation efforts.","language":"English","publisher":"Wiley","doi":"10.1111/fog.12429","usgsCitation":"Staudinger, M., Mills, K.E., Stamieszkin, K., Record, N.R., Hudak, C.A., Allyn, A., Diamond, A., Friedland, K., Golet, W., Henderson, E., Hernandez, C.M., Huntington, T.G., Ji, R., Johnson, C.L., Johnson, D.S., Jordaan, A., Kocik, J., Li, Y., Liebman, M., Nichols, O.C., Pendleton, D., Richards, R.A., Robben, T., Thomas, A.C., Walsh, H.J., and Yakola, K., 2019, It’s about time: A synthesis of changing phenology in the Gulf of Maine ecosystem: Fisheries Oceanography, v. 28, no. 5, p. 532-566, https://doi.org/10.1111/fog.12429.","productDescription":"35 p.","startPage":"532","endPage":"566","ipdsId":"IP-098796","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":460401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fog.12429","text":"Publisher Index Page"},{"id":363315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.05957031249999,\n 42.72280375732727\n ],\n [\n -66.851806640625,\n 44.449467536006935\n ],\n [\n -67.1044921875,\n 45.69083283645816\n ],\n [\n -68.73046875,\n 45.31352900692258\n ],\n [\n -71.05957031249999,\n 44.941473354802504\n ],\n [\n -71.05957031249999,\n 42.72280375732727\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":215140,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":761716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Katherine E.","contributorId":212161,"corporation":false,"usgs":false,"family":"Mills","given":"Katherine","email":"","middleInitial":"E.","affiliations":[{"id":38441,"text":"Gulf of Maine Research Institute","active":true,"usgs":false}],"preferred":false,"id":761717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamieszkin, Karen","contributorId":215141,"corporation":false,"usgs":false,"family":"Stamieszkin","given":"Karen","email":"","affiliations":[{"id":13692,"text":"Bigelow Laboratory for Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":761718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Record, Nicholas R.","contributorId":215142,"corporation":false,"usgs":false,"family":"Record","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[{"id":13692,"text":"Bigelow Laboratory for Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":761719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudak, Christine A.","contributorId":215143,"corporation":false,"usgs":false,"family":"Hudak","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":39188,"text":"Center for Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":761720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allyn, Andrew","contributorId":215144,"corporation":false,"usgs":false,"family":"Allyn","given":"Andrew","affiliations":[{"id":38441,"text":"Gulf of Maine Research Institute","active":true,"usgs":false}],"preferred":false,"id":761721,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diamond, Antony","contributorId":215145,"corporation":false,"usgs":false,"family":"Diamond","given":"Antony","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":761722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Friedland, Kevin","contributorId":215146,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":761723,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Golet, Walt","contributorId":215147,"corporation":false,"usgs":false,"family":"Golet","given":"Walt","email":"","affiliations":[{"id":38441,"text":"Gulf of Maine Research Institute","active":true,"usgs":false}],"preferred":false,"id":761724,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Henderson, Elisabeth","contributorId":215148,"corporation":false,"usgs":false,"family":"Henderson","given":"Elisabeth","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":761725,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hernandez, Christina M.","contributorId":215149,"corporation":false,"usgs":false,"family":"Hernandez","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":761726,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761741,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ji, Rubao","contributorId":215150,"corporation":false,"usgs":false,"family":"Ji","given":"Rubao","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":761727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Catherine L.","contributorId":215151,"corporation":false,"usgs":false,"family":"Johnson","given":"Catherine","email":"","middleInitial":"L.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":761728,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Johnson, David Samuel","contributorId":215152,"corporation":false,"usgs":false,"family":"Johnson","given":"David","email":"","middleInitial":"Samuel","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":761729,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jordaan, Adrian","contributorId":215153,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":761730,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kocik, John","contributorId":215154,"corporation":false,"usgs":false,"family":"Kocik","given":"John","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":761731,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Li, Yun","contributorId":215155,"corporation":false,"usgs":false,"family":"Li","given":"Yun","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":761732,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Liebman, Matthew","contributorId":215156,"corporation":false,"usgs":false,"family":"Liebman","given":"Matthew","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":761733,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Nichols, Owen C.","contributorId":215157,"corporation":false,"usgs":false,"family":"Nichols","given":"Owen","email":"","middleInitial":"C.","affiliations":[{"id":39188,"text":"Center for Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":761734,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Pendleton, Daniel","contributorId":206657,"corporation":false,"usgs":false,"family":"Pendleton","given":"Daniel","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":761735,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Richards, R. Anne","contributorId":215158,"corporation":false,"usgs":false,"family":"Richards","given":"R.","email":"","middleInitial":"Anne","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":761736,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Robben, Thomas","contributorId":215159,"corporation":false,"usgs":false,"family":"Robben","given":"Thomas","email":"","affiliations":[{"id":39189,"text":"Connecticut Ornithological Association","active":true,"usgs":false}],"preferred":false,"id":761737,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Thomas, Andrew C.","contributorId":215160,"corporation":false,"usgs":false,"family":"Thomas","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":761738,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walsh, Harvey J.","contributorId":215161,"corporation":false,"usgs":false,"family":"Walsh","given":"Harvey","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":761739,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yakola, Keenan","contributorId":215162,"corporation":false,"usgs":false,"family":"Yakola","given":"Keenan","email":"","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":761740,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70202822,"text":"ds1110 - 2019 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17","interactions":[],"lastModifiedDate":"2019-05-02T09:49:49","indexId":"ds1110","displayToPublicDate":"2019-04-22T10:58:23","publicationYear":"2019","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":"1110","displayTitle":"Selected Water-Quality Data from the Cedar River and Cedar Rapids Well Fields, Cedar Rapids, Iowa, 2008–17","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in Cedar Rapids, Iowa. Municipal wells are completed in the alluvial aquifer about 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have led a cooperative study of the groundwater-flow system and water quality of the aquifer since 1992. Cooperative reports between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, surface-water–groundwater interaction, and pesticides in groundwater and surface water. Water-quality analyses were completed for major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, ammonia plus organic nitrogen as nitrogen, nitrite plus nitrate as nitrogen, nitrite as nitrogen, orthophosphate as phosphorus, and phosphorus), dissolved organic carbon, selected pesticides, bacteria, and viral pathogens. Physical characteristics (alkalinity, dissolved oxygen, pH, specific conductance, and water temperature) were measured onsite and recorded for each water sample collected. This report presents the results of routine water-quality data-collection activities from water years 2010 through 2017, and additional viral pathogen data from May 2008 to August 2017. A water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2015 was from October 1, 2014, to September 30, 2015. Methods of data collection, quality assurance, water-quality analyses, and statistical procedures are presented. Data include the results of water-quality analyses from quarterly sampling from monitoring wells, municipal wells, two water treatment plants, and the Cedar River, as well as monthly nutrient sampling from the Cedar River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1110","usgsCitation":"Meppelink, S.M., Stelzer, E.A., Bristow, E.L., and Littin, G.R., 2019, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17: U.S. Geological Survey Data Series 1110, 49 p., https://doi.org/10.3133/ds1110.","productDescription":"viii, 49 p.","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-097778","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":363037,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1110/coverthb.jpg"},{"id":363038,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1110/ds1110.pdf","text":"Report","size":"2.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1110"}],"country":"United States","state":"Iowa","city":"Cedar Rapids","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.81755065917969,\n 41.91198644177823\n ],\n [\n -91.59027099609375,\n 41.91198644177823\n ],\n [\n -91.59027099609375,\n 42.03552434403621\n ],\n [\n -91.81755065917969,\n 42.03552434403621\n ],\n [\n -91.81755065917969,\n 41.91198644177823\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-04-22","noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bristow, Emilia L. 0000-0002-7939-166X ebristow@usgs.gov","orcid":"https://orcid.org/0000-0002-7939-166X","contributorId":214538,"corporation":false,"usgs":true,"family":"Bristow","given":"Emilia L.","email":"ebristow@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Littin, Gregory R.","contributorId":214539,"corporation":false,"usgs":false,"family":"Littin","given":"Gregory R.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":760151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228024,"text":"70228024 - 2019 - Multiscale habitat factors explain variability in stream fish occurrence in the Ozark Highlands ecoregion, USA","interactions":[],"lastModifiedDate":"2022-02-03T16:51:26.821246","indexId":"70228024","displayToPublicDate":"2019-04-22T10:46:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale habitat factors explain variability in stream fish occurrence in the Ozark Highlands ecoregion, USA","docAbstract":"

The dynamic, multiscale nature of stream systems makes it challenging to establish basic ecological principles to guide stream fish conservation and management. For example, finer-scale instream habitat is often constrained by coarser-scale characteristics driving observed species distributions. Additionally, instream environmental variability can result in patchy species distributions within general upstream–downstream occurrence patterns (i.e., variation around a common theme). Groundwater contribution, an often-overlooked habitat characteristic in warmwater systems, has numerous influences on the instream environment and can play a role in fish habitat-use patterns and assemblage structure. We identified multiscale instream habitat characteristics associated with the occurrence probability of 20 Ozark Highland stream fishes. Fishes were surveyed using tow-barge electrofishing in 76 channel unit complexes (i.e., riffle-to-riffle habitat sequences) nested in 20 reaches of northwest Oklahoma and southwest Missouri. We used a multiscale, multispecies generalized linear mixed model to identify relationships between fish occurrence and both channel unit complex- and reach-scale variables. Stream fishes were more likely to occur in larger or deeper channel unit complexes. Fish occurrence was also associated with different levels of reach-scale groundwater contribution, bankfull width-to-depth ratio, and percent instream cover. Ten fishes, typically associated with warmer water temperatures, had lower occurrence probabilities in reaches with higher groundwater contribution, whereas Banded Sculpin Cottus carolinae and Creek Chub Semotilus atromaculatus occurrence probabilities were higher. There was no relationship between occurrence probabilities and instream cover for 11 fishes. The occurrence probabilities in relation to varying amounts of instream cover for the other nine stream fishes was dependent on bankfull width-to-depth ratio, where the direction and magnitude of the relationships varied among stream fishes. The variation in occurrence relationships can be attributed to thermal preferences, environmental interactions, and the use of multiple habitat types. Our findings demonstrate the multiscale nature of fish occurrence relationships and how conservation and management may benefit from considering this complexity when developing holistic instream habitat enhancement strategies.

","language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-18-099","usgsCitation":"Mollenhauer, R., Zhou, Y., and Brewer, S.K., 2019, Multiscale habitat factors explain variability in stream fish occurrence in the Ozark Highlands ecoregion, USA: Copeia, v. 107, no. 2, p. 219-231, https://doi.org/10.1643/CE-18-099.","productDescription":"13 p.","startPage":"219","endPage":"231","ipdsId":"IP-099822","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Ozark Highlands ecoregion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.1910400390625,\n 36.465471886798134\n ],\n [\n -93.9935302734375,\n 36.465471886798134\n ],\n [\n -93.9935302734375,\n 36.99816565700228\n ],\n [\n -95.1910400390625,\n 36.99816565700228\n ],\n [\n -95.1910400390625,\n 36.465471886798134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mollenhauer, Robert","contributorId":274327,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Yan","contributorId":274328,"corporation":false,"usgs":false,"family":"Zhou","given":"Yan","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832909,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203640,"text":"70203640 - 2019 - Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes","interactions":[],"lastModifiedDate":"2019-06-18T12:17:25","indexId":"70203640","displayToPublicDate":"2019-04-22T09:19:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes","docAbstract":"Spatial redistribution of legacy mercury (Hg) contamination in the Hackensack River estuary (New Jersey, USA) was evaluated using mercury stable isotopes. Total Hg varied from 0.06 to 3.8 µg g-1 in sediment from the tidal Hackensack River and from 15 to 154 µg g-1 near historically contaminated sites in upper Berry's Creek, a tributary of the Hackensack River. delta202Hg values for total Hg from the Berry's Creek and Hackensack River estuaries varied over a fairly narrow range (-0.44‰ to -0.21‰), but were highest for sediment from upper Berry's Creek. Isotope mixing plots show that residual legacy mercury from upper Berry's Creek is partially diluted by a low concentration and low delta202Hg pool of mercury associated with low organic matter content sediments similar to those in Newark Bay. Based on an isotope mixing model, we estimate that upper Berry’s Creek contributes 21% to 82% of the mercury in sediments in the Hackensack River estuary and its tidal tributaries, including upstream marsh habitats far from the primary source. Our results show that mercury stable isotopes can be used to track the redistribution of mercury in tidal ecosystems and highlight the potentially large areas which may be affected by legacy mercury contamination in estuaries.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2019.04.074","usgsCitation":"Reinfelder, J.R., and Janssen, S., 2019, Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes: Journal of Hazardous Materials, v. 375, p. 121-129, https://doi.org/10.1016/j.jhazmat.2019.04.074.","productDescription":"9 p.","startPage":"121","endPage":"129","ipdsId":"IP-106971","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":364225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.34585571289062,\n 40.45948689837198\n ],\n [\n -73.6138916015625,\n 40.45948689837198\n ],\n [\n -73.6138916015625,\n 41.3757780692323\n ],\n [\n -74.34585571289062,\n 41.3757780692323\n ],\n [\n -74.34585571289062,\n 40.45948689837198\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"375","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reinfelder, John R 0000-0002-3737-604X","orcid":"https://orcid.org/0000-0002-3737-604X","contributorId":215897,"corporation":false,"usgs":false,"family":"Reinfelder","given":"John","email":"","middleInitial":"R","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":763372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215100,"text":"70215100 - 2019 - Risks of hydroclimatic regime shifts across the western United States","interactions":[],"lastModifiedDate":"2020-10-07T23:57:28.018685","indexId":"70215100","displayToPublicDate":"2019-04-19T18:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7146,"text":"Nature Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Risks of hydroclimatic regime shifts across the western United States","docAbstract":"

Paleohydrologic reconstructions of water-year streamflow for 105 sites across the western United States (West) were used to compute the likelihood (risk) of regime (wet/dry state) shifts given the length of time in a specific regime and for a specified time in the future. The spatial variability of risks was examined and indicates that regime shift risks are variable across the West. The Pacific-Northwest region is associated with low risks of regime shifts, indicating persistence controlled by prevalent low frequency variability in flow (periods above 64 years). Other areas in the West indicate higher risks compared to the Pacific-Northwest due to flow variability in the mid-to-high frequencies (periods of 32 to 16 years). Understanding risks of regime shifts provides critical information for improved management of water supplies, particularly during periods of extended low flows. The method presented here has global applicability as a decision-making framework for risk-based planning and management.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42692-y","usgsCitation":"Gangopadhyay, S., McCabe, G.J., Pederson, G.T., Martin, J.T., and Littell, J.S., 2019, Risks of hydroclimatic regime shifts across the western United States: Nature Scientific Reports, v. 9 p., 6303, 8 p., https://doi.org/10.1038/s41598-019-42692-y.","productDescription":"6303, 8 p.","ipdsId":"IP-101353","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42692-y","text":"Publisher Index Page"},{"id":379199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"9 p.","noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":800863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":800864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":800865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Justin T. 0000-0002-3523-6596","orcid":"https://orcid.org/0000-0002-3523-6596","contributorId":215418,"corporation":false,"usgs":true,"family":"Martin","given":"Justin","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":800866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":800922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203098,"text":"70203098 - 2019 - Analysis and visualization of coastal ocean model data in the cloud","interactions":[],"lastModifiedDate":"2019-04-22T12:33:43","indexId":"70203098","displayToPublicDate":"2019-04-19T12:33:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Analysis and visualization of coastal ocean model data in the cloud","docAbstract":"The traditional flow of coastal ocean model data is from High Performance Computing (HPC) centers to the local desktop, or to a file server where just the data needed can be extracted via services such as OPeNDAP. Analysis and visualization is then conducted using local hardware and software. This requires moving large amounts of data across the internet as well as acquiring and maintaining local hardware, software and support personnel. Further, as data sets increase in size, the traditional workflow may not be scalable. Alternatively, recent advances make it possible to move data from HPC to the Cloud and perform interactive, scalable, data-proximate analysis and visualization, with simply a web browser user interface. We use the framework advanced by the NSF-funded Pangeo project, a free, open-source Python system which provides multi-user login via JupyterHub and parallel analysis via Dask, both running in Docker containers orchestrated by Kubernetes. Data is stored in the Zarr format, a Cloud-friendly ndarray format that allows performant extraction of data by anyone without relying on data services like OPeNDAP. Interactive visual exploration of data on massive model grids is made possible by new tools in the Python PyViz ecosystem, which can render maps at screen resolution, dynamically updating on pan and zoom operations. Two example are given: (1) calculating the maximum water level at each grid cell from a 53GB, 720 time step, 9 million node triangular mesh ADCIRC simulation of Hurricane Ike; (2) creating a dashboard for visualizing data from the curvilinear orthogonal COAWST/ROMS forecast model.","language":"English","publisher":"MDPI","doi":"10.3390/jmse7040110","usgsCitation":"Signell, R.P., and Pothina, D., 2019, Analysis and visualization of coastal ocean model data in the cloud: Journal of Marine Science and Engineering, v. 7, no. 4, 12 p., https://doi.org/10.3390/jmse7040110.","productDescription":"12 p.","ipdsId":"IP-106233","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7040110","text":"Publisher Index Page"},{"id":363105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothina, Dharhas","contributorId":214921,"corporation":false,"usgs":false,"family":"Pothina","given":"Dharhas","email":"","affiliations":[{"id":39137,"text":"U.S. Army Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":761166,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204362,"text":"70204362 - 2019 - Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems","interactions":[],"lastModifiedDate":"2019-12-22T14:42:50","indexId":"70204362","displayToPublicDate":"2019-04-19T11:50:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems","docAbstract":"Rivermouth ecosystems in the Laurentian Great Lakes represent complex hydrologic mixing zones where lake and river water combine to form biologically productive areas that are functionally similar to marine estuaries. As urban, industrial, shipping, and recreational centers, rivermouths are the focus of human interactions with the Great Lakes and, likewise, may represent critical habitat for larval fish and other biota. The hydrology and related geomorphology in these deltaic systems form the basis for ecosystem processes and wetland habitat structure but are poorly understood. To this end, a multidisciplinary team of scientists examined hydrogeomorphic structure and lake-tributary mixing in rivermouths using water chemistry, stable isotopes, and current profiling over a five-month period. Results showed that the maximum depth of the rivermouth ecosystem influenced mixing, with temperature-related, density-dependent wedging and layering that isolated lake water below river water occurring in deeper systems. The inherent size of the rivermouth ecosystem, local geomorphology, and human modifications such as shoreline armoring and dredging influenced mixing by altering the propensity for density differences to occur. The improved scientific understanding and framework for characterizing hydrogeomorphic processes in Great Lakes rivermouths across a disturbance gradient is useful for conservation, management, restoration, and protection of critical habitats needed by native species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.03.009","usgsCitation":"Carlson-Mazur, M., Schaeffer, J., Granneman, J.E., Goldstrohm, N., Fitzpatrick, F.A., Larson, J.H., Reneau, P., Kowalski, K., and Seelbach, P., 2019, Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems: Journal of Great Lakes Research, v. 45, no. 3, p. 651-663, https://doi.org/10.1016/j.jglr.2019.03.009.","productDescription":"13 p.","startPage":"651","endPage":"663","ipdsId":"IP-098670","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":437492,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P937P8CB","text":"USGS data release","linkHelpText":"Hydrogeochemical mixing data from Lake Michigan tributaries 2011"},{"id":365779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Ford River, Lake Michigan, Manitowoc River, Pere Marquette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.7313232421875,\n 44.03824429423549\n ],\n [\n -87.6214599609375,\n 44.03034596066819\n ],\n [\n -87.55828857421875,\n 44.16250418310723\n ],\n [\n -87.75054931640625,\n 44.12308489306967\n ],\n [\n -87.7313232421875,\n 44.03824429423549\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.451416015625,\n 43.7715896488274\n ],\n [\n -86.38275146484375,\n 43.7715896488274\n ],\n [\n -86.38275146484375,\n 43.85186000694389\n ],\n [\n -86.451416015625,\n 43.85186000694389\n ],\n [\n -86.451416015625,\n 43.7715896488274\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.20260620117188,\n 45.64284803596584\n ],\n [\n -87.08862304687499,\n 45.64284803596584\n ],\n [\n -87.08862304687499,\n 45.72152152227954\n ],\n [\n -87.20260620117188,\n 45.72152152227954\n ],\n [\n -87.20260620117188,\n 45.64284803596584\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson-Mazur, Martha","contributorId":217290,"corporation":false,"usgs":false,"family":"Carlson-Mazur","given":"Martha","email":"","affiliations":[{"id":39597,"text":"Bellarmine University","active":true,"usgs":false}],"preferred":false,"id":766525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granneman, Jennifer E. 0000-0003-1618-1865","orcid":"https://orcid.org/0000-0003-1618-1865","contributorId":217291,"corporation":false,"usgs":false,"family":"Granneman","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":766526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstrohm, Natalie","contributorId":217292,"corporation":false,"usgs":false,"family":"Goldstrohm","given":"Natalie","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":766527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":196543,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":766528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766530,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766531,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seelbach, Paul W.","contributorId":217294,"corporation":false,"usgs":false,"family":"Seelbach","given":"Paul W.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":766532,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203199,"text":"70203199 - 2019 - Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert","interactions":[],"lastModifiedDate":"2019-04-29T08:53:31","indexId":"70203199","displayToPublicDate":"2019-04-19T08:53:00","publicationYear":"2019","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":"Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert","docAbstract":"Multiple-use public lands require balancing diverse resource uses and values across landscapes. In the California desert, there is strong interest in renewable energy development and important conservation concerns. The Bureau of Land Management recently completed a land-use plan for the area that provides protection for modeled suitable habitat for multiple rare plants. Three sets of habitat models were commissioned for plants of conservation concern as part of the planning effort. The Bureau of Land Management then needed to determine which model or combination of models to use to implement plan requirements. Our goals were to: 1) develop a process for evaluating the existing habitat models and 2) use the evaluation results to map probable and potential suitable habitat. We developed a method for evaluating the construction (input data and methods) and performance of existing models and applied it to 88 habitat models for 43 rare plant species. We also developed a process for mapping probable and potential suitable habitat based on the existing models; potential habitat maps are intended only to guide future field surveys. We were able to map probable suitable habitat for 26 of the 43 species and potential suitable habitat for 41 species. Forty percent of the project area contains probable suitable habitat for at least one species (43,338 km2), with much of that habitat (43%) occurring on lands managed by the Bureau of Land Management. Lands prioritized for renewable energy development contain 3% of the habitat modeled as suitable for at least one species. Our products can be used by agencies to review proposed projects and plan future plant surveys and by developers to target sites likely to minimize conflicts with rare plant conservation goals. Our methods can be broadly applied to understand and quantify the defensibility of models used in conservation and regulatory contexts.","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0214099","usgsCitation":"Reese, G., Carter, S.K., Lunch, C., and Walterscheid, S., 2019, Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert: PLoS ONE, v. 14, no. 4, 26 p., https://doi.org/10.1371/journal.pone.0214099.","productDescription":"26 p.","ipdsId":"IP-099792","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467685,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0214099","text":"Publisher Index Page"},{"id":437493,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NDA9YC","text":"USGS data release","linkHelpText":"Probable and potential suitable habitat for 43 rare plant species in the California desert"},{"id":363287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.27783203125,\n 31.87755764334002\n ],\n [\n -113.88427734374999,\n 31.87755764334002\n ],\n [\n -113.88427734374999,\n 38.22091976683121\n ],\n [\n -122.27783203125,\n 38.22091976683121\n ],\n [\n -122.27783203125,\n 31.87755764334002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Reese, Gordon 0000-0002-5191-7770 greese@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-7770","contributorId":215093,"corporation":false,"usgs":true,"family":"Reese","given":"Gordon","email":"greese@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunch, Christina","contributorId":215094,"corporation":false,"usgs":false,"family":"Lunch","given":"Christina","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":761614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walterscheid, Steve","contributorId":215095,"corporation":false,"usgs":false,"family":"Walterscheid","given":"Steve","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":761615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202389,"text":"sir20185170 - 2019 - Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016","interactions":[],"lastModifiedDate":"2019-06-12T10:00:24","indexId":"sir20185170","displayToPublicDate":"2019-04-19T08:45:00","publicationYear":"2019","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":"2018-5170","displayTitle":"Drinking Water Health Standards Comparison and Chemical Analysis of Groundwater for 72 Domestic Wells in Bradford County, Pennsylvania, 2016","title":"Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016","docAbstract":"

Pennsylvania has the second highest number of residential wells of any state in the Nation with approximately 2.4 million residents that depend on groundwater for their domestic water supply. Despite the widespread reliance on groundwater in rural areas of the state, publicly available data to characterize the quality of private well water are limited. In Bradford County, more than half of the residents use groundwater from private domestic-supply wells as their primary drinking source. The quality of private well water is influenced by the regional and local setting, including the surrounding soil, geology, land use, household plumbing, and well construction. The groundwater used for domestic water supply in Bradford County is obtained primarily from shallow bedrock and from unconsolidated (glacial) deposits that overlie the bedrock. Historical land use has been predominately forested, agricultural, and residential, but more recently unconventional oil/gas development has been distributed throughout the landscape. Pennsylvania is one of only two states in the Nation without statewide water-well construction standards.

To better assess the quality of groundwater used for drinking water supply in Bradford County, data for 72 domestic wells were collected and analyzed for a wide range of constituents that could be evaluated in relation to drinking water health standards, geology, land use, and other environmental factors. Groundwater samples were collected from May through August 2016 and analyzed for physical and chemical properties, including major ions, nutrients, trace elements, volatile organic compounds, ethylene and propylene glycol, alcohols, gross-alpha/beta-particle activity, uranium, radon-222, and dissolved gases. A subset of samples was analyzed for radium isotopes (radium-226 and -228) and for the isotopic composition of methane. This study was conducted by the U.S. Geological Survey in cooperation with the Northern Tier Regional Planning and Development Commission and is part of a regional effort to characterize groundwater in rural areas of Pennsylvania.

Results of the 2016 study show that groundwater quality generally met most drinking-water standards. However, a percentage of samples failed to meet maximum contaminant levels (MCLs) for total coliform bacteria (49.3 percent), Escherichia coli (8.5 percent), barium (2.8 percent), and arsenic (2.8 percent); and secondary maximum contaminant levels (SMCL) for sodium (48.6 percent), manganese (30.6 percent), gross alpha and beta activity (16.7 percent), iron (11.1 percent), pH (8.3 percent), total dissolved solids (5.6 percent), chloride (1.4 percent), and aluminum (1.4 percent). Radon-222 activities exceeded the proposed drinking-water standard of 300 picocuries per liter (pCi/L) in 70.4 percent of the samples. There were no exceedances of drinking water health standards for any volatile organic compounds, and the only detections were for three trihalomethanes in one sample.

The pH of the groundwater had a large influence on chemical characteristics and ranged from 6.18 to 9.31. Generally, the higher pH samples had higher potential for elevated concentrations of several constituents, including total dissolved solids, sodium, lithium, chloride, fluoride, boron, arsenic, and methane. For the Bradford County well-water samples, calcium/bicarbonate type waters were most abundant, with others classified as sodium/bicarbonate or mixed water types including calcium-sodium/bicarbonate, calcium-sodium/bicarbonate-chloride, sodium/bicarbonate-chloride, sodium/bicarbonate-sulfate, or sodium/chloride types. Six principal components (pH, redox, hardness, chloride-bromide, strontium-barium, and molybdenum-arsenic) explained nearly 78.3 percent of the variance in the groundwater dataset.

Groundwater from 12.5 percent of the wells had concentrations of methane greater than the Pennsylvania action level of 7 milligrams per liter (mg/L); detectable methane concentrations ranged from 0.01 to 77 mg/L. In addition, low levels of ethane (as much as 0.13 mg/L) were present in seven samples with the highest methane concentrations. The isotopic composition of methane in five of these groundwater samples was consistent with the isotopic compositions reported for mud-gas logging samples from these geologic units and a thermogenic source. Isotopic composition from a sixth sample suggested the methane in that sample may be of microbial origin. Well-water samples with the higher methane concentrations also had higher pH values and elevated concentrations of sodium, lithium, boron, fluoride, arsenic, and bromide. Relatively elevated concentrations of some other constituents, such as barium and chloride, commonly were present in, but not limited to, those well-water samples with elevated methane.

Four of the six groundwater samples with the highest methane concentrations had chloride/bromide ratios that indicate mixing with a small amount of brine (0.02 percent or less) similar in composition to those reported for gas and oil well brines in Pennsylvania. In several other eastern Pennsylvania counties where gas drilling is absent, groundwater with comparable chloride/bromide ratios and chloride concentrations have been reported, implying a potential natural source of brine. Most of Bradford County well-water samples have chloride concentrations less than 20 mg/L, and those with higher chloride concentrations have chloride/bromide ratios that indicate anthropogenic sources (such as road-deicing salt and septic effluent) or brine. Brines that are naturally present may originate from deeper parts of the aquifer system, whereas anthropogenic sources are more likely to affect shallow groundwater because they occur on or near the land surface.

The available data for this study indicate that no one physical factor, such as the topographic setting, well depth, or altitude at the bottom of the well, was particularly useful for predicting those well locations with an elevated dissolved concentration of methane. The 2016 assessment of groundwater quality in Bradford County shows groundwater is generally of good quality, but methane and some constituents that occur in high concentration in naturally occurring brine and also in produced waters may be present at low to moderate concentrations in groundwater in various parts of the aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185170","collaboration":"Prepared in cooperation with the Northern Tier Regional Planning and Development Commission","usgsCitation":"Clune, J.W., and Cravotta, C.A., III, 2019, Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016 (ver 1.2, May 30, 2019): U.S. Geological Survey Scientific Investigations Report 2018–5170, 66 p., https://doi.org/10.3133/sir20185170.","productDescription":"Report: vi, 66 p.; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098593","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":363039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5170/coverthb4.jpg"},{"id":363132,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2018/5170/versionHist.txt","text":"Version History","size":"1.24 KB","linkFileType":{"id":2,"text":"txt"}},{"id":363047,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VRV6US","text":"USGS data release","description":"USGS data release","linkHelpText":"Compilation of Data Not Available in the National Water Information System for Domestic Wells Sampled by the U.S. Geological Survey in Bradford County, Pennsylvania, May-August 2016"},{"id":363040,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5170/sir20185170.pdf","text":"Report","size":"8.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5170"}],"country":"United States","state":"Pennsylvania","county":"Bradford County ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.9291,42.0024],[-76.9095,42.0025],[-76.8966,42.0026],[-76.6476,42.0019],[-76.6334,42.0017],[-76.5964,42.0013],[-76.5618,42.0009],[-76.5531,42.0008],[-76.5229,42.0005],[-76.466,41.9999],[-76.3826,41.9989],[-76.1467,41.9991],[-76.1382,41.898],[-76.1336,41.8467],[-76.1285,41.7935],[-76.1258,41.773],[-76.1219,41.7217],[-76.1171,41.6531],[-76.1959,41.648],[-76.1996,41.6467],[-76.2015,41.6435],[-76.2015,41.6426],[-76.2015,41.6408],[-76.2016,41.6353],[-76.2016,41.6344],[-76.2023,41.6335],[-76.2029,41.6322],[-76.2063,41.6145],[-76.209,41.6004],[-76.2091,41.5982],[-76.2184,41.5579],[-76.2217,41.5447],[-76.2383,41.5458],[-76.2432,41.5463],[-76.2487,41.5468],[-76.3277,41.5526],[-76.4454,41.5608],[-76.5,41.5649],[-76.5975,41.5715],[-76.6367,41.5745],[-76.6478,41.5755],[-76.6619,41.5765],[-76.679,41.578],[-76.6938,41.579],[-76.6993,41.5795],[-76.7496,41.5834],[-76.7569,41.5839],[-76.787,41.5872],[-76.7949,41.5882],[-76.8005,41.5887],[-76.8103,41.5896],[-76.8133,41.5901],[-76.8219,41.5911],[-76.8379,41.593],[-76.8747,41.5968],[-76.8747,41.599],[-76.8805,41.6363],[-76.8833,41.6681],[-76.8838,41.6717],[-76.885,41.6781],[-76.8873,41.6999],[-76.8907,41.7267],[-76.8936,41.7503],[-76.8976,41.783],[-76.8987,41.8007],[-76.8993,41.808],[-76.9022,41.8248],[-76.9022,41.8257],[-76.9051,41.8466],[-76.9162,41.918],[-76.9209,41.9507],[-76.9238,41.9711],[-76.9291,42.0024]]]},\"properties\":{\"name\":\"Bradford\",\"state\":\"PA\"}}]}","edition":"Version 1.2: May 30, 2019; Version 1.1: April 23, 2019; Version 1.0: April 19, 2019","contact":"

Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-19","revisedDate":"2019-05-30","noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":205148,"corporation":false,"usgs":true,"family":"Clune","given":"John W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200529,"text":"sir20185139 - 2019 - Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-04-19T16:03:43","indexId":"sir20185139","displayToPublicDate":"2019-04-18T13:30:00","publicationYear":"2019","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":"2018-5139","displayTitle":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","title":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","docAbstract":"

Historical training and operational activities at Joint Base Cape Cod (JBCC) on western Cape Cod, Massachusetts, have resulted in the release of contaminants into an underlying glacial aquifer that is the sole source of water to the surrounding communities. Remedial systems have been installed to contain and remove contamination from the aquifer. Groundwater withdrawals for public supply are expected to increase as the region continues to urbanize. Increases in water-supply withdrawals and wastewater return flow likely will affect the hydrologic system around JBCC and could affect the transport of any contamination that may remain in the aquifer following remediation of contamination from the JBCC. The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, developed a numerical, steady-state regional model of the Sagamore flow lens on western Cape Cod and evaluated the potential effects of future (2030) groundwater withdrawals on water levels, streamflows, hydraulic gradients, and advective transport near the JBCC.

The aquifer consists generally of sandy sediments underlain by impermeable bedrock and is bounded laterally by a freshwater/saltwater interface. Data on the altitude of the bedrock surface, position of the freshwater/saltwater interface, lithology of the aquifer, spatial distribution of recharge, and hydrologic boundaries were incorporated into the three-dimensional, finite-difference groundwater flow model.

Some inputs into the numerical model—aquifer properties, leakances, and recharge—are represented as parameters to facilitate estimation of optimal parameter values in an inverse calibration. A hybrid parameterization scheme, with both zones of piecewise constancy and pilot points, is used to represent hydraulic conductivity; other adjustable parameters include recharge, boundary leakance, and porosity. Data on water levels, the distribution of subsurface contamination, and groundwater ages were compiled, evaluated, and used to develop observations of long-term average hydraulic gradients and advective-transport patterns. These observations of steady-state hydrologic conditions were combined with the parameterized groundwater model in an inverse calibration to estimate model parameters that best fit the observations.

Current (2010) and future (2030) conditions were simulated in the calibrated model to characterize the groundwater flow system and to determine potential effects of increased groundwater withdrawals on advective-transport patterns at the JBCC. Groundwater flow and advective transport are radially outward from a water-table divide in the northern part of the JBCC; flow diverges from the divide toward all points of the compass. Most groundwater flow and contaminant transport occur in shallow parts of the aquifer. On average, about one-half of the groundwater flux occurs in the shallowest 20 percent of the saturated thickness; shallow flow is even more predominant near streams and lakes. Projected (2030) increases in groundwater withdrawals decrease water levels by a maximum of about 1.2 feet in the northern part of the JBCC; drawdowns exceeding 1 foot generally are limited to areas near the largest increases in withdrawals, such as in the northern part of the JBCC, near Long Pond in Falmouth, and in eastern Barnstable. Streamflow decreases average about 6 percent; the largest decreases are in areas with the largest drawdowns. Changes in hydraulic-gradient directions at the water table exceed 1 degree in about 13 percent of the aquifer, generally near groundwater divides where gradient magnitudes are small and near large groundwater withdrawals. Predictions of advective transport from randomly selected locations at the water table are similar for current (2010) and future (2030) groundwater withdrawals. The results indicate that projected increases in groundwater withdrawals affect water levels and streamflows, but effects on hydraulic gradients and advective transport at the JBCC likely are small.

Several underlying assumptions inherent in the model, including observations and weights used in the calibration, representation of local-scale heterogeneity, and simulation of the freshwater/saltwater interface, could affect model calibration and predictions; these assumptions were evaluated with alternative models and alternative inverse calibrations. Eight alternative calibrations were performed in which different, but reasonable, observations and weights were used. The preferred calibrated model had the best overall fit to the observations.

Fine-grained silty sediments occur in many parts of the aquifer, and silt lenses can locally affect hydraulic gradients. A set of alternative models in which silts were represented with different correlation distances and hydraulic conductivities indicated that explicitly representing silt lenses could affect model calibration but that the implicit representation of local-scale heterogeneity may be sufficient at the regional scale to represent regional-scale hydraulic gradients. For the coastal boundary, two alternative models representing silty and sandy seabeds and their associated interface positions were developed to test the importance of the assumed coastal-boundary condition. The two alternative models resulted in different predictions of streamflow—streamflows increase with smaller (silty) seabed leakances. However, predictions of advective transport, particularly near the JBCC, generally were similar between the alternative and preferred calibrated models, indicating that the seabed leakance and associated interface position at the coastal boundary does not affect simulations of advective transport in inland parts of the aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185139","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Walter, D.A., McCobb, T.D., and Fienen, M.N., 2019, Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2018–5139, 98 p., https://doi.org/10.3133/sir20185139.","productDescription":"Report: xi, 98 p.; Data Release","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077209","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":362939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT ","text":"USGS data release ","description":"USGS data release ","linkHelpText":"MODFLOW–2005 and MODPATH Used to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":437495,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT","text":"USGS data release","linkHelpText":"MODFLOW2005 and MODPATH used to simulate the hydrologic system and transport contaminants near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":362937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5139/coverthb2.jpg"},{"id":362938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5139/sir20185139.pdf","text":"Report","size":"43.8 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5139"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.026611328125,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-04-18","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":209977,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":105948,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":749378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216745,"text":"70216745 - 2019 - Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau","interactions":[],"lastModifiedDate":"2020-12-04T00:27:42.394548","indexId":"70216745","displayToPublicDate":"2019-04-17T18:15:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau","docAbstract":"

The uplift history of the Colorado Plateau has been debated for over a century with still no unified hypotheses for the cause, timing, and rate of uplift. 40Ar/39Ar and K/Ar dating of recurrent basaltic volcanism over the past ∼6 Ma within the Virgin River drainage system, southwest Utah, northwest Arizona, and southern Nevada, provides a way to reconstruct paleoprofiles and quantify differential river incision across the boundary faults of the Colorado Plateau–Basin and Range boundary. We compare differential incision data with patterns of channel steepness, bedrock erodibility, basaltic migration, and mantle velocity structure to understand the birth and evolution of the Virgin River system.

New detrital sanidine ages constrain the arrival of the Virgin River across the Virgin Mountains to less than 5.9 Ma. Virgin River incision rates and amounts show an eastward stair-step increase in bedrock incision across multiple N-S–trending normal faults. Using block incision values away from fault-related flexures, average bedrock incision rates are near zero since 4.6 Ma in the Lower Colorado River corridor, 23 m/Ma from 6.8 to 3.6 Ma in the Lake Mead block, 85 m/Ma from 3 to 0.4 Ma in the combined St. George and Hurricane blocks, and 338 m/Ma from 1 to 0.1 Ma in the Zion block. Steady incision within each block is documented by incision constraints that span these age ranges. We test two end-member hypotheses to explain the observed differential incision magnitudes and rates along the Virgin River system over the past ∼5 Ma: (1) as a measure of mantle-driven differential uplift of the Colorado Plateau relative to sea level; or (2) due to river integration across previously uplifted topography and differential rock types with down-dropping of Transition Zone blocks but no post–5 Ma uplift.

We favor headwater uplift of the Colorado Plateau because basalt-preserved paleoprofiles indicate that eastern fault blocks have been the “active” blocks that moved upwards relative to western blocks with little base-level change of the lower Colorado River corridor in the past 4.6 Ma. Block-to-block differential incision adds cumulatively such that the Zion block (Colorado Plateau edge) has been deeply incised 880–1200 m (∼338 m/Ma) over the 2.6–3.6 Ma period of Hurricane fault neotectonic movement, which has a slip magnitude of 1100 m. Mantle-driven uplift is implicated by a strong correlation throughout the Virgin River drainage between high normalized channel steepness (ksn) and low underlying mantle velocity, whereas there is a weaker correlation between high ksn and resistant lithologies. Basaltic volcanism has migrated northeastward at a rate of ∼18 km/Ma parallel to the Virgin River between ca. 13 and 0.5 Ma, also suggesting a mantle-driven mechanism for the combined epeirogenic uplift of the western Colorado Plateau, recurrent slip on its bounding faults, and headward propagation and differential incision of the Virgin River. Thus, we interpret the Virgin River to be a <5 Ma disequilibrium river system responding to ongoing upper-mantle modification and related basalt extraction that has driven ∼1 km of young (and ongoing) surface uplift of the western Colorado Plateau.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02019.1","usgsCitation":"Walk, C., Karlstrom, K., Crow, R.S., and Heizler, M., 2019, Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau: Geosphere, v. 15, no. 3, p. 759-782, https://doi.org/10.1130/GES02019.1.","productDescription":"24 p.","startPage":"759","endPage":"782","ipdsId":"IP-102339","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02019.1","text":"Publisher Index Page"},{"id":380958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.927734375,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 35.460669951495305\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Walk, Cory","contributorId":245362,"corporation":false,"usgs":false,"family":"Walk","given":"Cory","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":806040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203687,"text":"70203687 - 2019 - Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","interactions":[],"lastModifiedDate":"2019-07-23T14:02:28","indexId":"70203687","displayToPublicDate":"2019-04-17T11:09:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","docAbstract":"

Offshore permafrost plays a role in the global climate system, but observations of permafrost thickness, state, and composition are limited to specific regions. The current global permafrost map shows potential offshore permafrost distribution based on bathymetry and global sea level rise. As a first‐order estimate, we employ a heat transfer model to calculate the subsurface temperature field. Our model uses dynamic upper boundary conditions that synthesize Earth System Model air temperature, ice mass distribution and thickness, and global sea level reconstruction and applies globally distributed geothermal heat flux as a lower boundary condition. Sea level reconstruction accounts for differences between marine and terrestrial sedimentation history. Sediment composition and pore water salinity are integrated in the model. Model runs for 450 ka for cross‐shelf transects were used to initialize the model for circumarctic modeling for the past 50 ka. Preindustrial submarine permafrost (i.e., cryotic sediment), modeled at 12.5‐km spatial resolution, lies beneath almost 2.5 ×106km2 of the Arctic shelf. Our simple modeling approach results in estimates of distribution of cryotic sediment that are similar to the current global map and recent seismically delineated permafrost distributions for the Beaufort and Kara seas, suggesting that sea level is a first‐order determinant for submarine permafrost distribution. Ice content and sediment thermal conductivity are also important for determining rates of permafrost thickness change. The model provides a consistent circumarctic approach to map submarine permafrost and to estimate the dynamics of permafrost in the past.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JC014675","usgsCitation":"Overduin, P., Schneider, T., Miesner, F., Grigoriev, M., Ruppel, C.D., Vasiliev, A., Lantuit, H., Juhls, B., and Westermann, S., 2019, Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP): Journal of Geophysical Research C: Oceans, v. 124, no. 6, p. 3490-3507, https://doi.org/10.1029/2018JC014675.","productDescription":"18 p.","startPage":"3490","endPage":"3507","ipdsId":"IP-102127","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467691,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/24566","text":"External Repository"},{"id":364479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic shelf Regions","volume":"124","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Overduin, P.P.","contributorId":37927,"corporation":false,"usgs":true,"family":"Overduin","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":763797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, T.","contributorId":216061,"corporation":false,"usgs":false,"family":"Schneider","given":"T.","affiliations":[],"preferred":false,"id":763798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miesner, F.","contributorId":216062,"corporation":false,"usgs":false,"family":"Miesner","given":"F.","email":"","affiliations":[],"preferred":false,"id":763799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grigoriev, M.N.","contributorId":64105,"corporation":false,"usgs":true,"family":"Grigoriev","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":763800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasiliev, A.","contributorId":216063,"corporation":false,"usgs":false,"family":"Vasiliev","given":"A.","email":"","affiliations":[],"preferred":false,"id":763802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantuit, H.","contributorId":216064,"corporation":false,"usgs":false,"family":"Lantuit","given":"H.","affiliations":[],"preferred":false,"id":763803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Juhls, B.","contributorId":216065,"corporation":false,"usgs":false,"family":"Juhls","given":"B.","email":"","affiliations":[],"preferred":false,"id":763804,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Westermann, S.","contributorId":216066,"corporation":false,"usgs":false,"family":"Westermann","given":"S.","email":"","affiliations":[],"preferred":false,"id":763805,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70216089,"text":"70216089 - 2019 - Precipitation and temperature drive continental scale patterns in stream invertebrate production","interactions":[],"lastModifiedDate":"2020-11-05T15:08:38.436614","indexId":"70216089","displayToPublicDate":"2019-04-17T09:06:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation and temperature drive continental scale patterns in stream invertebrate production","docAbstract":"

Secondary production, the growth of new heterotrophic biomass, is a key process in aquatic and terrestrial ecosystems that has been carefully measured in many flowing water ecosystems. We combine structural equation modeling with the first worldwide dataset on annual secondary production of stream invertebrate communities to reveal core pathways linking air temperature and precipitation to secondary production. In the United States, where the most extensive set of secondary production estimates and covariate data were available, we show that precipitation-mediated, low–stream flow events have a strong negative effect on secondary production. At larger scales (United States, Europe, Central America, and Pacific), we demonstrate the significance of a positive two-step pathway from air to water temperature to increasing secondary production. Our results provide insights into the potential effects of climate change on secondary production and demonstrate a modeling framework that can be applied across ecosystems.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav2348","usgsCitation":"Patrick, C.J., McGarvey, D., Larson, J.H., Cross, W., Allen, D., Benke, A., Brey, T., Huryn, A., Jones, J.D., Murphy, C., Ruffing, C., Saffarinia, P., Whiles, M., Wallace, B.P., and Woodward, G., 2019, Precipitation and temperature drive continental scale patterns in stream invertebrate production: Nature, v. 5, no. 4, eaav2348, 10 p., https://doi.org/10.1126/sciadv.aav2348.","productDescription":"eaav2348, 10 p.","ipdsId":"IP-099195","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav2348","text":"Publisher Index Page"},{"id":380192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGarvey, D.","contributorId":244474,"corporation":false,"usgs":false,"family":"McGarvey","given":"D.","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":804017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, W.","contributorId":244475,"corporation":false,"usgs":false,"family":"Cross","given":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":804019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, D.","contributorId":244476,"corporation":false,"usgs":false,"family":"Allen","given":"D.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":804020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benke, A.","contributorId":244477,"corporation":false,"usgs":false,"family":"Benke","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brey, T.","contributorId":244478,"corporation":false,"usgs":false,"family":"Brey","given":"T.","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huryn, A.","contributorId":244479,"corporation":false,"usgs":false,"family":"Huryn","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804023,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, J. Douglas","contributorId":65037,"corporation":false,"usgs":false,"family":"Jones","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":804024,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, C.","contributorId":244480,"corporation":false,"usgs":false,"family":"Murphy","given":"C.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":804025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruffing, C.","contributorId":244481,"corporation":false,"usgs":false,"family":"Ruffing","given":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":804026,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Saffarinia, P.","contributorId":244482,"corporation":false,"usgs":false,"family":"Saffarinia","given":"P.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":804027,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whiles, M.","contributorId":244483,"corporation":false,"usgs":false,"family":"Whiles","given":"M.","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":804028,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wallace, B. P.","contributorId":178089,"corporation":false,"usgs":false,"family":"Wallace","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":804029,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Woodward, G.","contributorId":244484,"corporation":false,"usgs":false,"family":"Woodward","given":"G.","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":804030,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70208597,"text":"70208597 - 2019 - Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake","interactions":[],"lastModifiedDate":"2020-02-19T20:08:21","indexId":"70208597","displayToPublicDate":"2019-04-16T20:06:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake","docAbstract":"Peak ground motions (acceleration and velocity) radiated by earthquakes in the San Francisco Bay area and recorded within the Sacramento–San Joaquin Delta generally attenuate faster with distance than the Next Generation Attenuation-West2 ground-motion prediction equations (GMPEs). We evaluate the attenuation for a wide set of paths into the Delta by analyzing recorded ground motions from fourteen 4 ≤ M < 7 earthquakes located on major Bay area faults: the San Andreas, Calaveras, Hayward, West Napa, and Green Valley faults. We select stations within azimuthal ranges of 38°–114° into the Delta and calculate the residuals of the peak ground motions relative to the Boore et al. (2014) GMPEs. We then fit the natural log of these peak ground acceleration and peak ground velocity residuals for each earthquake to the function a−krγ, in which a is an event term and krγ is the differential attenuation. Although there is some variation in the differential attenuation obtained for each earthquake, the peak ground motions from most of the 14 events attenuate faster than predicted by the Boore et al. (2014) GMPEs. The differential attenuation does not appear to depend on azimuth or magnitude of the earthquake; however, earthquake depth may have an effect. Our results suggest that attenuation models for the Delta can be significantly improved through regionalization, although this regionalization will increase the model complexity and the epistemic uncertainty.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180182","usgsCitation":"Erdem, J., Boatwright, J., and Fletcher, J.P., 2019, Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake: Bulletin of the Seismological Society of America, v. 109, no. 3, p. 1025-1033, https://doi.org/10.1785/0120180182.","productDescription":"9 p.","startPage":"1025","endPage":"1033","ipdsId":"IP-096562","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":372430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.838134765625,\n 37.727280276860036\n ],\n [\n -120.3387451171875,\n 37.727280276860036\n ],\n [\n -120.3387451171875,\n 39.35129035526705\n ],\n [\n -122.838134765625,\n 39.35129035526705\n ],\n [\n -122.838134765625,\n 37.727280276860036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Erdem, Jemile 0000-0003-2353-9431 jerdem@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-9431","contributorId":127700,"corporation":false,"usgs":true,"family":"Erdem","given":"Jemile","email":"jerdem@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, Jack 0000-0002-6931-5241","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":205346,"corporation":false,"usgs":true,"family":"Boatwright","given":"Jack","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Jon Peter B. 0000-0001-8885-6177 jfletcher@usgs.gov","orcid":"https://orcid.org/0000-0001-8885-6177","contributorId":1216,"corporation":false,"usgs":true,"family":"Fletcher","given":"Jon","email":"jfletcher@usgs.gov","middleInitial":"Peter B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203130,"text":"70203130 - 2019 - Quantifying risk of whale–vessel collisions across space, time, and management policies","interactions":[],"lastModifiedDate":"2019-04-23T13:29:45","indexId":"70203130","displayToPublicDate":"2019-04-16T13:02:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying risk of whale–vessel collisions across space, time, and management policies","docAbstract":"Transportation industries can negatively impact wildlife populations, including through increased risk of mortality. To mitigate this risk successfully, managers and conservationists must estimate risk across space, time, and alternative management policies. Evaluating this risk at fine spatial and temporal scales can be challenging, especially in systems where wildlife–vehicle collisions are rare or imperfectly detected. The sizes and behaviors of wildlife and vehicles influence collision risk, as well as how much they co‐occur in space and time. We applied a modeling framework based on encounter theory to quantify the risk of lethal collisions between endangered North Atlantic right whales and vessels. Using Automatic Identification System vessel traffic data and spatially explicit estimates of right whale abundance that account for imperfect detection, we modeled risk at fine spatiotemporal scales before and after implementation of a vessel speed rule in the southeastern United States. The expected seasonal mortality rates of right whales decreased by 22% on average after the speed rule was implemented, indicating that the rule is effective at reducing lethal collisions. The rule's effect on risk was greatest where right whales were abundant and vessel traffic was heavy, and its effect varied considerably across time and space. Our framework is spatiotemporally flexible, process‐oriented, computationally efficient and accounts for uncertainty, making it an ideal approach for evaluating many wildlife management policies, including those regarding collisions between wildlife and vehicles and cases in which wildlife may encounter other dangerous features such as wind farms, seismic surveys, or fishing gear.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2713","usgsCitation":"Crum, N.J., Gowan, T.A., Krzystan, A., and Martin, J., 2019, Quantifying risk of whale–vessel collisions across space, time, and management policies: Ecosphere, v. 10, no. 4, Article: e02713; 15 p., https://doi.org/10.1002/ecs2.2713.","productDescription":"Article: e02713; 15 p.","ipdsId":"IP-096433","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2713","text":"Publisher Index Page"},{"id":363143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, Florida","city":"Brunswick, Fernandina Beach, Jacksonville","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.67236328125,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 30.225848323247707\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Crum, Nathan J.","contributorId":200016,"corporation":false,"usgs":false,"family":"Crum","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":761310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krzystan, Andrea","contributorId":214962,"corporation":false,"usgs":false,"family":"Krzystan","given":"Andrea","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":761311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","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":761308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215592,"text":"70215592 - 2019 - Mechanisms of a coniferous refugium persistence under drought and heat","interactions":[],"lastModifiedDate":"2020-10-25T17:51:11.992152","indexId":"70215592","displayToPublicDate":"2019-04-16T12:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of a coniferous refugium persistence under drought and heat","docAbstract":"

Predictions of warmer droughts causing increasing forest mortality are becoming abundant, yet few studies have investigated the mechanisms of forest persistence. To examine the resistance of forests to warmer droughts, we used a five-year precipitation reduction (~45% removal), heat (+4 °C above ambient) and combined drought and heat experiment in an isolated stand of mature Pinus edulis-Juniperus monosperma. Despite severe experimental drought and heating, no trees died, and we observed only minor evidence of hydraulic failure or carbon starvation. Two mechanisms promoting survival were supported. First, access to bedrock water, or 'hydraulic refugia' aided trees in their resistance to the experimental conditions. Second, the isolation of this stand amongst a landscape of dead trees precluded ingress by Ips confusus, frequently the ultimate biotic mortality agent of piñon. These combined abiotic and biotic landscape-scale processes can moderate the impacts of future droughts on tree mortality by enabling tree avoidance of hydraulic failure, carbon starvation, and exposure to attacking abiotic agents.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ab0921","usgsCitation":"McDowell, N.G., Grossiord, C., Adams, H.D., Pinzon-Navarro, S., MacKay, D.S., Breshears, D., Allen, C.D., Borrego, I., Dickman, L.T., and Collins, A.D., 2019, Mechanisms of a coniferous refugium persistence under drought and heat: Environmental Research Letters, v. 14, no. 4, 045014, 14 p., https://doi.org/10.1088/1748-9326/ab0921.","productDescription":"045014, 14 p.","ipdsId":"IP-105101","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab0921","text":"Publisher Index Page"},{"id":379721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":802876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinzon-Navarro, Sara","contributorId":243957,"corporation":false,"usgs":false,"family":"Pinzon-Navarro","given":"Sara","email":"","affiliations":[{"id":48775,"text":"Univ. de Panama","active":true,"usgs":false}],"preferred":false,"id":802877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKay, D. Scott","contributorId":243958,"corporation":false,"usgs":false,"family":"MacKay","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":802878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breshears, Dave","contributorId":243959,"corporation":false,"usgs":false,"family":"Breshears","given":"Dave","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":802879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borrego, Isaac","contributorId":207748,"corporation":false,"usgs":false,"family":"Borrego","given":"Isaac","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dickman, L. Turin","contributorId":199441,"corporation":false,"usgs":false,"family":"Dickman","given":"L.","email":"","middleInitial":"Turin","affiliations":[],"preferred":false,"id":802882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Collins, Adam D.","contributorId":199440,"corporation":false,"usgs":false,"family":"Collins","given":"Adam","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":802883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203540,"text":"70203540 - 2019 - Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","interactions":[],"lastModifiedDate":"2019-08-19T16:48:54","indexId":"70203540","displayToPublicDate":"2019-04-16T12:34:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1369,"text":"Deep Sea Research Part A, Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","title":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","docAbstract":"

Chemosynthetic environments support distinct benthic communities capable of utilizing reduced chemical compounds for nutrition. Hundreds of methane seeps have been documented along the U.S. Atlantic margin (USAM), and detailed investigations at a few seeps have revealed distinct environments containing mussels, microbial mats, authigenic carbonates, and soft sediments. The dominant mussel, Bathymodiolus childressi, contains methanotrophic endosymbionts but is also capable of filter feeding, and stable isotope analysis (SIA) of mussel-shell periostracum suggests that these mussels are mixotrophic, assimilating multiple food resources. However, it is unknown whether mixotrophy is widespread or varies spatially and temporally. We used SIA (δ13C, δ15N, and δ34S) and an isotope mixing model (MixSIAR) to estimate resource contribution to B. childressi and characterize food webs at two seep sites (Baltimore Seep; 400 m and Norfolk Seep; 1500 m depths) along the USAM, and applied a linear mixed-effects model to explore the role of mussel population density and tissue type in influencing SIA variance. After controlling for location and temporal variation, isotopic variability was a function of proportion of live mussels present and tissue type. Isotopic differences were also spatially discrete, possibly reflecting variations in the underlying carbon source at the two sites. Low mussel δ13C values (∼−63‰) are consistent with a dependence on microbial methane. However, MixSIAR results revealed mixotrophy for mussels at both sites, implying a reliance on a mixture of methane and phytoplankton-derived particulate organic material. The mixing model results also reveal population density-driven patterns, suggesting that resource use is a function of live mussel abundance. Mussel isotopes differed by tissue type, with gill having the lowest δ15N values relative to muscle and mantle tissues. Based on mass balance equations, up to 79% of the dissolved inorganic carbon (DIC) of the pore fluids within the anaerobic oxidation of the methane zone is derived from methane and available to fuel upper slope deep-sea communities, such as fishes (Dysommina rugosa and Symphurus nebulosus), echinoderms (Odontaster robustus, Echinus wallisi, and Gracilechinus affinis), and shrimp, (Alvinocaris markensis). The presence of these seeps thereby increases the overall trophic and community diversity of the USAM continental slope. Given the presence of hundreds of seeps within the region, primary production at seeps may serve as an important, yet unquantified, energy source to the USAM deep-sea environment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2019.04.002","usgsCitation":"Demopoulos, A., McClain Counts, J., Bourque, J.R., Prouty, N.G., Smith, B., Brooke, S., Ross, S., and Ruppel, C., 2019, Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models: Deep Sea Research Part A, Oceanographic Research Papers, v. 148, p. 53-66, https://doi.org/10.1016/j.dsr.2019.04.002.","productDescription":"14 p.","startPage":"53","endPage":"66","ipdsId":"IP-102400","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467698,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2019.04.002","text":"Publisher Index Page"},{"id":437497,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92KEVAT","text":"USGS data release","linkHelpText":"Stable isotopic insights into Bathymodiolus childressi at two seeps in the US Atlantic margin, data release"},{"id":364051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.255859375,\n 34.379712580462204\n ],\n [\n -72.630615234375,\n 34.45221847282654\n ],\n [\n -72.57568359375,\n 39.41922073655956\n ],\n [\n -77.255859375,\n 39.52946653645165\n ],\n [\n -77.255859375,\n 34.379712580462204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":215717,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":215718,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":215722,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooke, Sandra","contributorId":150169,"corporation":false,"usgs":false,"family":"Brooke","given":"Sandra","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":763070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruppel, Carolyn 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":215721,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203628,"text":"70203628 - 2019 - North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","interactions":[],"lastModifiedDate":"2019-05-28T11:55:12","indexId":"70203628","displayToPublicDate":"2019-04-16T11:54:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","docAbstract":"Species with narrow environmental preferences are often distributed across fragmented patches of suitable habitat, and dispersal among subpopulations can be difficult to directly observe. Genetic data collected at population centers can help quantify gene flow, which is especially important for vulnerable species with a disjunct range. Plethodon shenandoah is a Federally Endangered salamander known only from three mountaintops in Virginia, USA. To reconstruct the evolutionary history and population connectivity of this species, we generated both mitochondrial and nuclear data using sequence capture for all three populations and found strong population structure that was independent of geographic distance. Both the nuclear markers and mitochondrial genome indicated a deep split between the most southern population and the combined central and northern population. Although there was some mitochondrial haplotype-splitting between the central and northern populations, there was complete admixture in nuclear markers. This is indicative of either a recent split or current male-biased dispersal among mountain isolates. Models of landscape resistance found that dispersal across north-facing slopes at mid-elevation levels best explain the observed genetic structure among populations. These unexpected results highlight the importance of landscape features in understanding and predicting movement and fragmentation of salamanders across space.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5064","usgsCitation":"Mulder, K., Cortes-Rodriguez, N., Brand, A.B., Campbell Grant, E.H., and Fleischer, R.C., 2019, North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah: Ecology and Evolution, v. 9, no. 9, p. 5094-5105, https://doi.org/10.1002/ece3.5064.","productDescription":"12 p.","startPage":"5094","endPage":"5105","ipdsId":"IP-102918","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5064","text":"Publisher Index Page"},{"id":364188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulder, KP","contributorId":215882,"corporation":false,"usgs":false,"family":"Mulder","given":"KP","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes-Rodriguez, Nandadevi","contributorId":215883,"corporation":false,"usgs":false,"family":"Cortes-Rodriguez","given":"Nandadevi","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleischer, Robert C.","contributorId":127479,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":763324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203554,"text":"70203554 - 2019 - Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","interactions":[],"lastModifiedDate":"2019-05-23T07:29:18","indexId":"70203554","displayToPublicDate":"2019-04-16T09:48:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","docAbstract":"Widespread deployment of sensors that measure river nitrate (NO3-) concentrations has led to many recent publications in water resources journals including review papers focused on data quality assurance, improved load calculations, and better nutrient management. The principal objective of this paper is to review and synthesize studies of high-frequency NO3- data that have aimed to improve understanding of the hydrologic and biogeochemical processes underlying episodic, diel, and long-term stream NO3- dynamics. Investigations have provided unprecedented detail on hysteresis and flushing patterns during high flow, seasonal variation during baseflow, and responses to multi-year climate variation. Analyses of high-frequency data have led to notable advances in understanding how climate variation affects spatial and temporal NO3- patterns, especially dry-wet cycles and antecedent moisture. Further advances have been limited by few investigations that include high-frequency measurements outside the channel and the short duration of many records. High-frequency data for multiple constituents have provided new insight to the relative roles of hydrology and biogeochemistry as highlighted by studies of the roles of autotrophic uptake, denitrification, riparian evapotranspiration, and temperature-driven changes in viscosity as drivers of diel patterns. Comparisons of short-duration high-frequency data with long-duration low frequency data have described similarities and differences in concentration – discharge patterns and highlighted the role of legacy stores. Investigators have applied innovative analysis approaches not previously possible with low-frequency or temporally-irregular data. Future availability of long-duration high-frequency data will provide new insight to processes, resulting in improved conceptual models and a deeper understanding of the role of climate variation.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1348","usgsCitation":"Burns, D., Pellerin, B., Miller, M.P., Capel, P., Tesoriero, A.J., and Duncan, J.M., 2019, Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes: WIREs Water, 24 p., https://doi.org/10.1002/wat2.1348.","productDescription":"24 p.","ipdsId":"IP-102881","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1348","text":"Publisher Index Page"},{"id":364086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763123,"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":763124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capel, Paul 0000-0003-1020-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1020-5185","contributorId":215743,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jonathan M.","contributorId":207569,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":763128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203402,"text":"70203402 - 2019 - Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","interactions":[],"lastModifiedDate":"2019-12-22T14:25:52","indexId":"70203402","displayToPublicDate":"2019-04-16T09:27:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","docAbstract":"The scaling of rupture properties with magnitude is of critical importance to earthquake early warning (EEW) systems that rely on source characterization using limited snapshots of waveform data. ShakeAlert, a prototype EEW system that is being developed for the western United States, provides real-time estimates of earthquake magnitude based on P-wave peak ground displacements measured at stations triggered by the event. The algorithms used in ShakeAlert assume that the displacement measurements at each station are statistically independent and that there exists a linear and time-independent relation between log peak ground displacement and earthquake magnitude. Here we challenge this basic assumption using a comprehensive database of more than 130,000 vertical component waveforms from M4.5-M9 earthquakes occurring near Japan from 1997 through 2017 and recorded by the K-NET and KiK-net strong-motion networks. By analyzing the time-evolution of P-wave peak ground displacements for these earthquakes, we show that there is a break, or saturation, in the magnitude-displacement scaling that depends on the length of the measurement time window. We demonstrate that the magnitude at which this saturation occurs is well-explained by a simple and non-deterministic model of earthquake rupture growth. We then use the predictions of this saturation model to develop a Bayesian framework for estimating posterior uncertainties in real-time magnitude estimates which incorporates the expected time-dependence of the peak displacement measurements.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017093","usgsCitation":"Trugman, D.T., Page, M.T., Minson, S.E., and Cochran, E.S., 2019, Peak ground displacement saturates exactly when expected: Implications for earthquake early warning: Journal of Geophysical Research B: Solid Earth, v. 124, no. 5, p. 4642-4653, https://doi.org/10.1029/2018JB017093.","productDescription":"12 p.","startPage":"4642","endPage":"4653","ipdsId":"IP-103663","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":460405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb017093","text":"Publisher Index Page"},{"id":363713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 128.2763671875,\n 32.69486597787505\n ],\n [\n 130.3857421875,\n 29.57345707301757\n ],\n [\n 141.8115234375,\n 35.496456056584165\n ],\n [\n 142.734375,\n 41.50857729743935\n ],\n [\n 146.42578125,\n 43.26120612479979\n ],\n [\n 144.84375,\n 44.465151013519616\n ],\n [\n 141.6796875,\n 45.82879925192134\n ],\n [\n 140.9765625,\n 45.24395342262324\n ],\n [\n 138.9111328125,\n 41.934976500546604\n ],\n [\n 138.9111328125,\n 38.238180119798635\n ],\n [\n 130.166015625,\n 34.88593094075317\n ],\n [\n 128.2763671875,\n 32.69486597787505\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":762534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203135,"text":"70203135 - 2019 - Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona","interactions":[],"lastModifiedDate":"2019-04-24T08:26:17","indexId":"70203135","displayToPublicDate":"2019-04-16T08:12:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona","docAbstract":"This paper describes how subdivision and development of rangelands within a remote and celebrated semiarid watershed near the US-Mexico border might affect multiple ecohydrological services provided, such as recharge of the aquifer, water and sediment yield, water quality, flow rates and downstream cultural and natural resources. Specifically, we apply an uncalibrated watershed model and land-change forecasting scenario to consider the potential effects of converting rangelands to housing developments and document potential changes in hydrological ecosystem services. A new method to incorporate weather data in watershed modelling is introduced. Results of introducing residential development in this fragile arid environment portray changes in the water budget, including increases in surface-water runoff, water yield, and total sediment loading. Our findings also predict slight reductions in lateral soil water, a component of the water budget that is increasingly becoming recognized as critical to maintaining water availability in arid regions. We discuss how the proposed development on shrub/scrub rangelands could threaten to sever imperative ecohydrological interactions and impact multiple ecosystem services. This research highlights rangeland management issues important for the protection of open-space, economic valuation of rangeland ecosystem services, conservation easements, and incentives to develop markets for these.","language":"English","publisher":"MDPI","doi":"10.3390/land8040064","usgsCitation":"Norman, L., Villarreal, M.L., Niraula, R., Haberstich, M., and Wilson, N., 2019, Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona: Land, v. 8, no. 4, 21 p., https://doi.org/10.3390/land8040064.","productDescription":"21 p.","ipdsId":"IP-104937","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land8040064","text":"Publisher Index Page"},{"id":363164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.25,31 ], [ -111.25,33 ], [ -109,33 ], [ -109,31 ], [ -111.25,31 ] ] ] } } ] }","volume":"8","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura","contributorId":214979,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":761350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haberstich, Mark","contributorId":214981,"corporation":false,"usgs":false,"family":"Haberstich","given":"Mark","email":"","affiliations":[{"id":39150,"text":"The Nature Conservancy, Aravaipa Canyon Preserve, Willcox, AZ 85643","active":true,"usgs":false}],"preferred":false,"id":761351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Natalie R. 0000-0001-5145-1221 nrwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":214982,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie","email":"nrwilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204537,"text":"70204537 - 2019 - Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2019-08-15T09:17:26","indexId":"70204537","displayToPublicDate":"2019-04-16T07:24:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin","docAbstract":"

Agricultural runoff from the Mississippi‐Atchafalaya River Basin delivers nitrogen (N) and phosphorus (P) to the Gulf of Mexico, causing hypoxia, and climate drives interannual variation in nutrient loads. Climate phenomena such as El Niño–Southern Oscillation may influence nutrient export through effects on river flow, nutrient uptake, or biogeochemical transformation, but landscape variation at smaller spatial scales can mask climate signals in load or discharge time series within large river networks. We used multivariate autoregressive state‐space modeling to investigate climate signals in the long‐term record (1979–2014) of discharge, N, P, and SiO2 loads at three nested spatial scales within the Mississippi‐Atchafalaya River Basin. We detected significant signals of El Niño–Southern Oscillation and land‐surface temperature anomalies in N loads but not discharge, SiO2, or P, suggesting that large‐scale climate phenomena contribute to interannual variation in nutrient loads through biogeochemical mechanisms beyond simple discharge‐load relationships.

","language":"English","publisher":"Wiley","doi":"10.1029/2018GL081166","usgsCitation":"Smits, A.P., Ruffing, C.M., Royer, T.V., Appling, A.P., Griffiths, N.A., Bellmore, R., Scheuerell, M., Harms, T., and Jones, J.B., 2019, Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin: Geophysical Research Letters, v. 46, no. 7, p. 3791-3801, https://doi.org/10.1029/2018GL081166.","productDescription":"11 p.","startPage":"3791","endPage":"3801","ipdsId":"IP-093030","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl081166","text":"Publisher Index Page"},{"id":366096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi‐Atchafalaya River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.801513671875,\n 28.8831596093235\n ],\n [\n -88.48388671874999,\n 28.8831596093235\n ],\n [\n -88.48388671874999,\n 33.394759218577995\n ],\n [\n -92.801513671875,\n 33.394759218577995\n ],\n [\n -92.801513671875,\n 28.8831596093235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smits, Adrianne P 0000-0001-9967-5419","orcid":"https://orcid.org/0000-0001-9967-5419","contributorId":217759,"corporation":false,"usgs":false,"family":"Smits","given":"Adrianne","email":"","middleInitial":"P","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":767453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruffing, Claire M","contributorId":217760,"corporation":false,"usgs":false,"family":"Ruffing","given":"Claire","email":"","middleInitial":"M","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":767454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royer, Todd V","contributorId":217761,"corporation":false,"usgs":false,"family":"Royer","given":"Todd","email":"","middleInitial":"V","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":767452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffiths, Natalie A. 0000-0003-0068-7714","orcid":"https://orcid.org/0000-0003-0068-7714","contributorId":211188,"corporation":false,"usgs":false,"family":"Griffiths","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":767456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bellmore, Rebecca","contributorId":217762,"corporation":false,"usgs":false,"family":"Bellmore","given":"Rebecca","affiliations":[{"id":39693,"text":"Southeast Alaska Watershed Coalition","active":true,"usgs":false}],"preferred":false,"id":767457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scheuerell, Mark D","contributorId":217763,"corporation":false,"usgs":false,"family":"Scheuerell","given":"Mark D","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":767458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harms, Tamara K","contributorId":217764,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara K","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":767459,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jack B.","contributorId":65788,"corporation":false,"usgs":true,"family":"Jones","given":"Jack","middleInitial":"B.","affiliations":[],"preferred":false,"id":767460,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}