{"pageNumber":"356","pageRowStart":"8875","pageSize":"25","recordCount":40797,"records":[{"id":70199277,"text":"sir20185122 - 2018 - Flood-inundation maps for the North Fork Kentucky River at Hazard, Kentucky","interactions":[],"lastModifiedDate":"2018-11-26T15:06:08","indexId":"sir20185122","displayToPublicDate":"2018-11-26T11:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5122","displayTitle":"Flood-Inundation Maps for the North Fork Kentucky River at Hazard, Kentucky","title":"Flood-inundation maps for the North Fork Kentucky River at Hazard, Kentucky","docAbstract":"

Digital flood-inundation maps for a 7.1-mile reach of the North Fork Kentucky River at Hazard, Kentucky (Ky.), were created by the U.S. Geological Survey (USGS) in cooperation with the Kentucky Silver Jackets and the U.S. Army Corps of Engineers Louisville District. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the North Fork Kentucky River at Hazard, Ky. (USGS station number 03277500). Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS AHPS site HAZK2). NWS AHPS forecast peak stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.

Flood profiles were computed for the North Fork Kentucky River reach by means of a one-dimensional, step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the current stage-discharge relation (USGS rating no. 24.0) at USGS streamgage 03277500, North Fork Kentucky River at Hazard, Ky. The calibrated hydraulic model was then used to compute 26 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (14 ft) to the highest even-foot increment stage (39 ft) of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from light detection and ranging data, to delineate the area flooded at each water level.

The availability of these maps, along with information on the internet regarding current stage from the USGS streamgage at North Fork Kentucky River at Hazard, Ky., and forecasted stream stages from the NWS AHPS, provides emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185122","collaboration":"Prepared in cooperation with the Kentucky Silver Jackets and the U.S. Army Corps of Engineers Louisville District","usgsCitation":"Boldt, J.A., Lant, J.G., and Kolarik, N.E., 2018, Flood-inundation maps for the North Fork Kentucky River at Hazard, Kentucky: U.S. Geological Survey Scientific Investigations Report 2018-5122, 12 p., https://doi.org/10.3133/sir20185122.","productDescription":"Report: vi, 12 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098752","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":359619,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CNAG9G","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial datasets and model for the flood-inundation study of the North Fork Kentucky River at Hazard, Kentucky"},{"id":359617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5122/coverthb.jpg"},{"id":359618,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5122//sir20185122.pdf","text":"Report","size":"5.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5122"}],"country":"United States","state":"Kentucky","city":"Hazard","otherGeospatial":" North Fork Kentucky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.20315361022949,\n 37.22158045838649\n ],\n [\n -83.15423011779785,\n 37.22158045838649\n ],\n [\n -83.15423011779785,\n 37.274872400526334\n ],\n [\n -83.20315361022949,\n 37.274872400526334\n ],\n [\n -83.20315361022949,\n 37.22158045838649\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
9818 Bluegrass Parkway
Louisville, KY 40299-1906

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-11-26","noUsgsAuthors":false,"publicationDate":"2018-11-26","publicationStatus":"PW","scienceBaseUri":"5bfd146be4b0815414ca38e8","contributors":{"authors":[{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":744897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lant, Jeremiah G. 0000-0001-6688-4820","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":207850,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"","middleInitial":"G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolarik, Nicholas E. 0000-0003-0527-058X","orcid":"https://orcid.org/0000-0003-0527-058X","contributorId":207851,"corporation":false,"usgs":true,"family":"Kolarik","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208201,"text":"70208201 - 2018 - Modeling water quality in the Anthropocene: Directions for the next-generation aquatic ecosystem models","interactions":[],"lastModifiedDate":"2020-01-31T07:00:33","indexId":"70208201","displayToPublicDate":"2018-11-22T06:58:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5061,"text":"Current Opinion in Environmental Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Modeling water quality in the Anthropocene: Directions for the next-generation aquatic ecosystem models","docAbstract":"“Everything changes and nothing stands still” (Heraclitus). Here we review three major improvements to freshwater aquatic ecosystem models — and ecological models in general — as water quality scenario analysis tools towards a sustainable future. To tackle the rapid and deeply connected dynamics characteristic of the Anthropocene, we argue for the inclusion of eco-evolutionary, novel ecosystem and social-ecological dynamics. These dynamics arise from adaptive responses in organisms and ecosystems to global environmental change and act at different integration levels and different time scales. We provide reasons and means to incorporate each improvement into aquatic ecosystem models. Throughout this study we refer to Lake Victoria as a microcosm of the evolving novel social-ecological systems of the Anthropocene. The Lake Victoria case clearly shows how interlinked eco-evolutionary, novel ecosystem and social-ecological dynamics are, and demonstrates the need for transdisciplinary research approaches towards global sustainability.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cosust.2018.10.012","usgsCitation":"Mooij, W.M., van Wijk, D., Beusen, A.H., Brederveld, R.J., Chang, M., Cobben, M., DeAngelis, D.L., Downing, A.S., Green, P., Gsell, A., Huttunen, I., Janse, J.H., Janssen, A.B., Hengeveld, G.M., Kong, X., Kramer, L., Kuiper, J.J., Langan, S.J., Nolet, B.A., Nuijten, R.J., Strokal, M., Troost, T.A., van Dam, A.A., and Teurlincx, S., 2018, Modeling water quality in the Anthropocene: Directions for the next-generation aquatic ecosystem models: Current Opinion in Environmental Sustainability, v. 36, p. 85-95, https://doi.org/10.1016/j.cosust.2018.10.012.","productDescription":"11 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Our model may help facilitate multilateral funding, policy, and stakeholder agreements by analyzing the trade-offs of coordinated dam decisions, including net benefit alternatives to dam removal, at scales that satisfy these agreements.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1807437115","usgsCitation":"Roy, S.G., Uchida, E., de Souza, S.P., Blachly, B., Fox, E., Gardner, K., Gold, A., Jansujwicz, J., Klein, S., McGreavy, B., Mo, W., Smith, S., Vogler, E., Wilson, K., Zydlewski, J.D., and Hart, D., 2018, A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 47, p. 12069-12074, https://doi.org/10.1073/pnas.1807437115.","productDescription":"6 p.","startPage":"12069","endPage":"12074","ipdsId":"IP-098183","costCenters":[{"id":199,"text":"Coop Res Unit 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,{"id":70200385,"text":"ofr20181165 - 2018 - The Pothole Hydrology-Linked Systems Simulator (PHyLiSS)—Development and application of a systems model for prairie-pothole wetlands","interactions":[],"lastModifiedDate":"2018-11-20T16:17:51","indexId":"ofr20181165","displayToPublicDate":"2018-11-20T11:06:30","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1165","displayTitle":"The Pothole Hydrology-Linked Systems Simulator (PHyLiSS)—Development and Application of a Systems Model for Prairie-Pothole Wetlands","title":"The Pothole Hydrology-Linked Systems Simulator (PHyLiSS)—Development and application of a systems model for prairie-pothole wetlands","docAbstract":"

The North American Prairie Pothole Region covers about 770,000 square kilometers of the United States and Canada (including parts of 5 States and 3 provinces: North Dakota, South Dakota, Montana, Minnesota, Iowa, Saskatchewan, Manitoba, and Alberta). The Laurentide Ice Sheet shaped the landscape of the region about 12,000 to 14,000 years ago. The retreat of the ice sheet left behind low-permeability glacial till and a landscape dotted with millions of depressions known today as prairie potholes. The wetlands that subsequently formed in these depressions, prairie-pothole wetlands, provide critical migratory-bird habitat and support dynamic aquatic communities. Extensive grasslands and productive agricultural systems surround these wetland ecosystems. In prairie-pothole wetlands, the compositions of plant, invertebrate, and vertebrate communities are highly dependent on hydrogeochemical conditions. Regional climate shifts between wet and dry periods affect the length of time that wetlands contain ponded surface water and the chemistry of that ponded water. Land-use change can exacerbate or reduce the effects of climate on wetland hydrology and water chemistry.

A mechanistic understanding of the relation among climate, land use, hydrology, chemistry, and biota in prairie-pothole wetlands is needed to better understand the complex, and often interacting, effects of climate and land use on prairie-pothole wetland systems and to facilitate climate and land-use change adaptation efforts. The Pothole Hydrology-Linked Systems Simulator (PHyLiSS) model was developed to address this need. The model simulates water-surface elevation dynamics in prairie-pothole wetlands and quantifies changes in salinity. The PHyLiSS model is unique among other wetland models because it accommodates differing sizes and morphometries of wetland basins, is not dependent on a priori designations of wetland class, and allows for functional changes associated with dynamic shifts in ecohydrological states. The PHyLiSS model also has the capability to simulate wetland salinity, and potential future iterations will also simulate the effects of changing hydrology and geochemical conditions on biota. This report documents the development of the hydrological and geochemical components of the PHyLiSS model and provides example applications.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181165","usgsCitation":"McKenna, O.P., Mushet, D.M., Scherff, E.J., McLean, K.I., and Mills, C.T., 2018, The Pothole Hydrology-Linked Systems Simulator (PHyLiSS)—Development and application of a systems model for prairie-pothole wetlands: U.S. Geological Survey Report 2018–1165, 21 p., https://doi.org/10.3133/ofr20181165.","productDescription":"vii, 21 p.","numberOfPages":"34","onlineOnly":"N","ipdsId":"IP-098927","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":359586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1165/coverthb.jpg"},{"id":359587,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1165/ofr20181165.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1165"},{"id":359588,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://www.sciencebase.gov/catalog/item/5b840f3ee4b05f6e321b4f04","text":"Pothole Hydrology Linked Systems Simulator (PHyLiSS)"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-11-20","noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","scienceBaseUri":"5bf52b66e4b045bfcae27ffc","contributors":{"authors":[{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":748684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scherff, Eric J.","contributorId":193076,"corporation":false,"usgs":false,"family":"Scherff","given":"Eric J.","affiliations":[],"preferred":false,"id":748686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLean, Kyle 0000-0003-3803-0136 kmclean@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-0136","contributorId":168533,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"kmclean@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":748688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203072,"text":"70203072 - 2018 - Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2019-04-17T10:05:12","indexId":"70203072","displayToPublicDate":"2018-11-20T10:04:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis","docAbstract":"

Understanding the diet of deep-diving predators can provide essential insight to the trophic structure of the mesopelagic ecosystem. Comprehensive population-level diet estimates are exceptionally difficult to obtain for elusive marine predators due to the logistical challenges involved in observing their feeding behavior and collecting samples for traditional stomach content or fecal analyses. We used quantitative fatty acid signature analysis (QFASA) to estimate the diet composition of a wide-ranging mesopelagic predator, the northern elephant seal (Mirounga angustirostris), across five years. To implement QFASA, we first compiled a library of prey fatty acid (FA) profiles from the mesopelagic eastern North Pacific. Given the scarcity of a priori diet data for northern elephant seals, our prey library was necessarily large to encompass the range of potential prey in their foraging habitat. However, statistical constraints limit the number of prey species that can be included in the prey library to the number of dietary FAs in the analysis. Exceeding that limit could produce non-unique diet estimates (i.e., multiple diet estimates fit the data equally well). Consequently, we developed a novel ad-hoc method to identify which prey were unlikely to contribute to diet and could, therefore, be excluded from the final QFASA model. The model results suggest that seals predominantly consumed small mesopelagic fishes, including myctophids (lanternfishes) and bathylagids (deep sea smelts), while non-migrating mesopelagic squids comprised a third of their diet, substantially less than suggested by previous studies. Our results revealed that mesopelagic fishes, particularly energy-rich myctophids, were a critical prey resource, refuting the long-held view that elephant seals are squid specialists.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2018.00430","usgsCitation":"Goetsch, C., Conners, M.G., Budge, S.M., Mitani, Y., Walker, W.A., Bromaghin, J.F., Simmons, S.E., Reichmuth, C., and Costa, D.P., 2018, Energy-rich mesopelagic fishes revealed as a critical prey resource for a deep-diving predator using quantitative fatty acid signature analysis: Frontiers in Marine Science, v. 5, no. 430, p. 1-19, https://doi.org/10.3389/fmars.2018.00430.","productDescription":"19 p.","startPage":"1","endPage":"19","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2018.00430","text":"Publisher Index Page"},{"id":362999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"430","noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Goetsch, Chandra","contributorId":214868,"corporation":false,"usgs":false,"family":"Goetsch","given":"Chandra","email":"","affiliations":[],"preferred":false,"id":761039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conners, Melinda G. 0000-0003-0572-0026","orcid":"https://orcid.org/0000-0003-0572-0026","contributorId":214869,"corporation":false,"usgs":false,"family":"Conners","given":"Melinda","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":761040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":761041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitani, Yoko","contributorId":214870,"corporation":false,"usgs":false,"family":"Mitani","given":"Yoko","email":"","affiliations":[],"preferred":false,"id":761042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, William A","contributorId":140360,"corporation":false,"usgs":false,"family":"Walker","given":"William","email":"","middleInitial":"A","affiliations":[{"id":13471,"text":"NMML","active":true,"usgs":false}],"preferred":false,"id":761043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":761044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simmons, Samantha E.","contributorId":156320,"corporation":false,"usgs":false,"family":"Simmons","given":"Samantha","email":"","middleInitial":"E.","affiliations":[{"id":20313,"text":"Marine Mammal Commission","active":true,"usgs":false}],"preferred":false,"id":761045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichmuth, Colleen","contributorId":214871,"corporation":false,"usgs":false,"family":"Reichmuth","given":"Colleen","email":"","affiliations":[],"preferred":false,"id":761046,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":761047,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263620,"text":"70263620 - 2018 - Revisiting earthquakes in the Los Angeles, California, basin during the early instrumental period: Evidence for an association with oil production","interactions":[],"lastModifiedDate":"2025-02-18T16:17:04.256137","indexId":"70263620","displayToPublicDate":"2018-11-19T10:12:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting earthquakes in the Los Angeles, California, basin during the early instrumental period: Evidence for an association with oil production","docAbstract":"

A total of seven independent ML ≥ 4.0 earthquakes occurred in the Los Angeles, California, basin, during the early instrumental period between 1932 and 1952, the largest of which was the 1933 Long Beach earthquake. Revising available macroseismic and instrumental data for a total of 6 4.0 ≤ ML ≤ 5.1 events between 1938 and 1944, we conclude that early instrumental locations can be grossly inconsistent with detailed macroseismic data. We use available macroseismic data to revisit event locations. We further present evidence that most if not all of these moderate earthquakes may have been induced by oil production. We quantify the predicted stress change associated with production from eight oil fields in the southwestern Los Angeles basin and show that frictional failure would have been encouraged beneath and at the periphery of high-volume fields, with stress changes upward of 0.1 MPa at 5-km depth. The results suggest that if earthquakes are induced by stress changes associated with production, the magnitudes of events might tend to be limited by the limited spatial extent of lobes of increased Coulomb failure stress. It further appears that the advent of fluid injection recovery methods (water-flooding) around 1960 mitigated induced earthquake risk considerably.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JB014616","usgsCitation":"Hough, S.E., and Bilham, R., 2018, Revisiting earthquakes in the Los Angeles, California, basin during the early instrumental period: Evidence for an association with oil production: JGR Solid Earth, v. 123, no. 12, p. 10684-10705, https://doi.org/10.1029/2017JB014616.","productDescription":"22 p.","startPage":"10684","endPage":"10705","ipdsId":"IP-088079","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jb014616","text":"Publisher Index Page"},{"id":482167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.6,\n 34\n ],\n [\n -118.6,\n 33.5\n ],\n [\n -118,\n 33.5\n ],\n [\n -118,\n 34\n ],\n [\n -118.6,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"123","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilham, Roger","contributorId":225117,"corporation":false,"usgs":false,"family":"Bilham","given":"Roger","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":927595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200967,"text":"70200967 - 2018 - Landscape topoedaphic features create refugia from drought and insect disturbance in a lodgepole and whitebark pine forest","interactions":[],"lastModifiedDate":"2018-11-21T14:52:38","indexId":"70200967","displayToPublicDate":"2018-11-19T10:07:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Landscape topoedaphic features create refugia from drought and insect disturbance in a lodgepole and whitebark pine forest","docAbstract":"

Droughts and insect outbreaks are primary disturbance processes linking climate change to tree mortality in western North America. Refugia from these disturbances—locations where impacts are less severe relative to the surrounding landscape—may be priorities for conservation, restoration, and monitoring. In this study, hypotheses concerning physical and biological processes supporting refugia were investigated by modelling the landscape controls on disturbance refugia that were identified using remotely sensed vegetation indicators. Refugia were identified at 30-m resolution using anomalies of Landsat-derived Normalized Difference Moisture Index in lodgepole and whitebark pine forests in southern Oregon, USA, in 2001 (a single-year drought with no insect outbreak) and 2009 (during a multi-year drought and severe outbreak of mountain pine beetle). Landscape controls on refugia (topographic, soil, and forest characteristics) were modeled using boosted regression trees. Landscape characteristics better explained and predicted refugia locations in 2009, when forest impacts were greater, than in 2001. Refugia in lodgepole and whitebark pine forests were generally associated with topographically shaded slopes, convergent environments such as valleys, areas of relatively low soil bulk density, and in thinner forest stands. In whitebark pine forest, refugia were associated with riparian areas along headwater streams. Spatial patterns in evapotranspiration, snowmelt dynamics, soil water storage, and drought-tolerance and insect-resistance abilities may help create refugia from drought and mountain pine beetle. Identification of the landscape characteristics supporting refugia can help forest managers target conservation resources in an era of climate-change exacerbation of droughts and insect outbreaks.

","language":"English","publisher":"MDPI","doi":"10.3390/f9110715","usgsCitation":"Cartwright, J.M., 2018, Landscape topoedaphic features create refugia from drought and insect disturbance in a lodgepole and whitebark pine forest: Forests, v. 9, no. 11, p. 1-35, https://doi.org/10.3390/f9110715.","productDescription":"Article 715; 35 p.","startPage":"1","endPage":"35","ipdsId":"IP-090482","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":460809,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f9110715","text":"Publisher Index Page"},{"id":437682,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74Q7SWX","text":"USGS data release","linkHelpText":"Analysis of remotely-sensed vegetation conditions during droughts and a mountain pine beetle outbreak, Gearhart Mountain Wilderness, Oregon"},{"id":359541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Gearhart Mountain Wilderness","volume":"9","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-18","publicationStatus":"PW","scienceBaseUri":"5bf3d9efe4b045bfcae0c9ad","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":751469,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263990,"text":"70263990 - 2018 - Commercial fisheries of the Upper Mississippi River: A model of sustainability","interactions":[],"lastModifiedDate":"2025-03-04T15:33:52.076983","indexId":"70263990","displayToPublicDate":"2018-11-19T09:27:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Commercial fisheries of the Upper Mississippi River: A model of sustainability","docAbstract":"

Commercial harvest is often considered as a primary cause of fish population declines in marine and inland systems throughout the world. However, much of the data supporting the negative attributes of commercial harvest are derived from marine fisheries and may not be directly applicable to inland fisheries. In this study, over 60 years of commercial fishery data from the Upper Mississippi River (UMR) was synthesized to better understand how inland commercial fisheries function and to address concerns associated with the exploitation of aquatic resources in freshwater systems. Overall, total commercial harvest in the UMR remained relatively stable over the study period and did not negatively influence fish populations or recreational fisheries. Our results address concerns associated with inland fisheries and highlight how proper management and interagency partnerships result in consistent and productive fisheries over large spatial and temporal scales.

","language":"English","publisher":"Oxford Academic","doi":"10.1002/fsh.10176","usgsCitation":"Klein, Z.B., Quist, M.C., Miranda, L.E., Marron, M., Steuck, M.J., and Hansen, K., 2018, Commercial fisheries of the Upper Mississippi River: A model of sustainability: Fisheries, v. 43, no. 12, p. 563-574, https://doi.org/10.1002/fsh.10176.","productDescription":"12 p.","startPage":"563","endPage":"574","ipdsId":"IP-094655","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.40768874426848,\n 45.44578094299786\n ],\n [\n -93.5510265111121,\n 45.927348716387\n ],\n [\n -94.47551141342484,\n 45.30663733236807\n ],\n [\n -91.77175178842725,\n 43.55433213663363\n ],\n [\n -90.67552773270134,\n 41.92945937573012\n ],\n [\n -91.41851749358094,\n 41.24043278852881\n ],\n [\n -91.98125111504882,\n 39.847137062222544\n ],\n [\n -90.73062298680244,\n 38.701503373656664\n ],\n [\n -89.45195963675133,\n 36.8723224905751\n ],\n [\n -88.99491128586835,\n 37.404039993637454\n ],\n [\n -90.631643681729,\n 40.26739023626229\n ],\n [\n -89.70072165174093,\n 42.19938080522675\n ],\n [\n -92.40768874426848,\n 45.44578094299786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":929430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":929434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marron, Michelle M.","contributorId":351770,"corporation":false,"usgs":false,"family":"Marron","given":"Michelle M.","affiliations":[{"id":84041,"text":"widnr","active":true,"usgs":false}],"preferred":false,"id":929431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steuck, Michael J.","contributorId":146497,"corporation":false,"usgs":false,"family":"Steuck","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":15311,"text":"Iowa Dept. of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":929432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Kirk A.","contributorId":351772,"corporation":false,"usgs":false,"family":"Hansen","given":"Kirk A.","affiliations":[{"id":48632,"text":"iadnr","active":true,"usgs":false}],"preferred":false,"id":929433,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199970,"text":"sir20185121 - 2018 - Relating cyanobacteria and physicochemical water-quality properties in Willow Creek Lake, Nebraska, 2012–14","interactions":[],"lastModifiedDate":"2018-11-19T14:20:04","indexId":"sir20185121","displayToPublicDate":"2018-11-19T06:54:31","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5121","displayTitle":"Relating Cyanobacteria and Physicochemical Water-Quality Properties in Willow Creek Lake, Nebraska, 2012–14","title":"Relating cyanobacteria and physicochemical water-quality properties in Willow Creek Lake, Nebraska, 2012–14","docAbstract":"

Cyanobacteria (also referred to as blue-green algae) are naturally present members of phytoplankton assemblages that may detract from beneficial uses of water because some strains produce cyanotoxins that pose health hazards to people and animals. Cyanobacteria populations observed in Willow Creek Lake during 2012 through 2014 were compared to external nutrient loading from the Willow Creek drainage basin and several other physicochemical properties within the lake, including internal nutrient loading. This report is part of a cooperative study between the U.S. Geological Survey, the Lower Elkhorn Natural Resources District, the Nebraska Department of Environmental Quality, the Nebraska Game and Parks Commission, the Nebraska Department of Natural Resources, the Nebraska Environmental Trust, and the University of Nebraska–Lincoln.

Cyanobacteria concentrations were quantified using weekly microcystin sampling, intermittent algal taxonomy, and hourly in-situ phycocyanin measurements. External and internal nutrient loads, lake water physical characteristics, and local meteorological conditions were evaluated as potential causes of cyanobacterial blooms. A water balance approach that estimated Willow Creek Lake inflow and outflow volumes identified Willow Creek as the major inflow and groundwater flux as the major outflow for the lake. Nutrient concentrations from several water sources were quantified and combined with flow volumes to compute nutrient loads during the study period.

Surface flows contributed most external nutrients to the lake, whereas lake nutrients were exported during groundwater losses. The main stem of Willow Creek accounted for most nitrate loads to the lake, whereas total Kjeldahl nitrogen, total phosphorus, and phosphate loads to the lake were more evenly distributed between Willow Creek and the North Tributary, a smaller drainage. Sediment core incubations determined internal phosphorus loading was a negligible component of the overall nutrient load to the lake.

Cyanobacterial responses were compared to nutrient loads and other external factors that could potentially affect algal growth. A series of univariate comparisons were made by plotting those factors against phycocyanin using biweekly summaries of each and a multivariate model that incorporated seasonality and cumulative nitrate loading. Although the multivariate model only incorporated cumulative nitrate, both nitrogen and phosphorus are likely contributing to cyanobacterial population growth, and management efforts may benefit from the recognition of differences in nutrient loading characteristics between the monitored basins.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185121","collaboration":"Prepared in cooperation with the Lower Elkhorn Natural Resources District, Nebraska Department of Environmental Quality, Nebraska Game and Parks Commission, Nebraska Department of Natural Resources, Nebraska Environmental Trust, and University of Nebraska–Lincoln","usgsCitation":"Rus, D.L., Hall, B.M., and Thomas, S.A., 2018, Relating cyanobacteria and physicochemical water-quality properties in Willow Creek Lake, Nebraska, 2012–14: U.S. Geological Survey Scientific Investigations Report 2018–5121, 43 p, https://doi.org/10.3133/sir20185121.","productDescription":"Report: x, 43 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-073831","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":359466,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5121/sir20185121.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5121"},{"id":359467,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RBDQI5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Monitoring Data for Willow Creek Lake, Nebraska, 2012–14"},{"id":359465,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5121/coverthb2.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Willow Creek Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.1667,\n 42\n ],\n [\n -97.3333,\n 42\n ],\n [\n -97.3333,\n 42.333\n ],\n [\n -98.1667,\n 42.333\n ],\n [\n -98.1667,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-11-19","noUsgsAuthors":false,"publicationDate":"2018-11-19","publicationStatus":"PW","scienceBaseUri":"5bf3d9efe4b045bfcae0c9af","contributors":{"authors":[{"text":"Rus, David L. 0000-0003-3538-7826","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":208516,"corporation":false,"usgs":true,"family":"Rus","given":"David L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Steven A. 0000-0002-5249-3500","orcid":"https://orcid.org/0000-0002-5249-3500","contributorId":208517,"corporation":false,"usgs":false,"family":"Thomas","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":37813,"text":"Univeristy of Nebraska - Lincoln","active":true,"usgs":false}],"preferred":false,"id":747530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198512,"text":"sir20185097 - 2018 - Chemical and isotopic characteristics of methane in groundwater of Ohio, 2016","interactions":[],"lastModifiedDate":"2018-11-19T14:13:05","indexId":"sir20185097","displayToPublicDate":"2018-11-16T16:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5097","displayTitle":"Chemical and Isotopic Characteristics of Methane in Groundwater of Ohio, 2016","title":"Chemical and isotopic characteristics of methane in groundwater of Ohio, 2016","docAbstract":"

In 2016, the U.S. Geological Survey, in cooperation with the Ohio Water Development Authority, investigated the hydrogeologic setting, chemical and isotopic characteristics, and origin of methane in groundwater of Ohio. Understanding the occurrence and distribution of methane in groundwater is important in terms of public safety because methane in water wells can pose a risk of explosion. In addition, documenting the chemical and isotopic characteristics of methane in groundwater can make an important contribution to future stray gas investigations.

Water samples were collected from 15 domestic water wells known to produce methane, which were in 12 counties in diverse parts of Ohio. The wells were 75–345 feet deep and tapped a range of aquifer types, including glacial deposits and bedrock of Upper Ordovician, Upper Devonian, Lower Mississippian, and Pennsylvanian ages. Although the hydrogeologic settings were varied, there was a broad similarity among the well sites in that the bedrock was predominantly shale and the glacial deposits were predominantly clay.

The wells were sampled for dissolved inorganic constituents; dissolved organic carbon; methane and other dissolved gases; stable isotopes (carbon, hydrogen, and oxygen) of methane, water, and dissolved inorganic carbon; and carbon-14 of methane. Gas composition and stable isotopes of methane were used to differentiate thermogenic and microbial methane. The degree of fractionation of hydrogen and carbon isotopes was used to evaluate the pathway of microbial methanogenesis (carbon dioxide [CO2] reduction or acetate fermentation) and the effects of secondary processes such as oxidation, mixing, and migration. The concentration of carbon-14 of methane was used to evaluate the relative age of the carbon source.

The quality of water from the 15 wells differed greatly; water types ranged from CaMgHCO3 to NaCl, and total dissolved solids concentrations ranged from 318 to 2,940 milligrams per liter (mg/L). Methane concentrations ranged from 1.2 to 120 mg/L. Of the 15 samples, 12 had methane concentrations greater than 28 mg/L, the level that can pose a risk of explosion.

Of the 15 samples, 12 had chemical and isotopic characteristics or \"signatures\" consistent with microbial methane formed by CO2 reduction. CO2 reduction is commonly associated with microbial degradation of organic matter in anaerobic aquifers and with the formation of microbial shale gas and coalbed methane along margins of sedimentary basins. Two of 15 samples were interpreted as having a component of thermogenic methane based on the δ13C of methane (−50.96 and −47.74 parts per thousand [per mil]) and gas dryness (28 and 5). One of 15 samples (from the shallowest well) had chemical and isotopic characteristics consistent with methane oxidation by sulfate reduction based on light δ13C of dissolved inorganic carbon (−31.6 per mil) and evidence of sulfate reduction in terms of the odor and appearance of the water.

For the 12 samples interpreted as microbial methane formed by CO2 reduction, the δ13C of methane varied from −75 to −56 per mil. Multiple samples from the same aquifer demonstrated a general trend of increasing δ13C of methane with depth. Samples with lighter δ13C of methane (−75 to −62 per mil) were from shallower wells (or wells with shallow open intervals), and the isotopic signature of the water was consistent with modern or postglacial groundwater recharge. Three samples with heavier δ13C of methane (−61 to −56 per mil) were from deeper wells or more confined aquifers where the isotopic signature of water was consistent with older (glacial) recharge. In addition, δ13C of dissolved inorganic carbon was enriched (+12 to +18.9 per mil), and carbon-14 of methane was consistent with carbon associated with Paleozoic bedrock or older glacial deposits. These observations are generally consistent with increased Rayleigh-type fractionation at greater depths; however, other interpretations are possible. Isotopic signatures can be ambiguous, especially in areas with complex geologic histories that include multiple episodes of migration, mixing, and (or) oxidation.

Many of the wells were in proximity to multiple potential natural and anthropogenic pathways of methane migration; however, it is not possible to determine if the methane in any of the wells is related to human activities based on the chemical and isotopic data collected for this study.

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\"}}]}","contact":"

Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Boulevard Ste. 100
Columbus, OH 43229-1737

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-11-16","noUsgsAuthors":false,"publicationDate":"2018-11-16","publicationStatus":"PW","scienceBaseUri":"5befe5b9e4b045bfcadf7f28","contributors":{"authors":[{"text":"Thomas, Mary Ann 0000-0001-8681-1370 mathomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8681-1370","contributorId":206777,"corporation":false,"usgs":true,"family":"Thomas","given":"Mary Ann","email":"mathomas@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204267,"text":"70204267 - 2018 - Blue Carbon Futures: moving forward on terra firma","interactions":[],"lastModifiedDate":"2019-07-16T14:54:15","indexId":"70204267","displayToPublicDate":"2018-11-16T14:51:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"28","title":"Blue Carbon Futures: moving forward on terra firma","docAbstract":"

Maintaining coastal carbon sequestration and storage services is economically valuable in providing a potentially long-term contribution toward climate resilience, both in terms of adaptation and mitigation.

392The volumetric accumulation of coastal carbon stocks is unique from other terrestrial and aquatic processes, and inconsistent use of terminology is holding back understanding of the range, magnitude, and processes critical to this carbon sink.

Documenting net greenhouse gas (GHG) benefits of coastal ecosystem management needs integrated models that quantitatively incorporate geomorphic, biogeochemical, atmospheric, and hydrologic exchanges to account for both carbon accumulation and loss, across a range of timescales.

A community effort is necessary to explore similarities among coastal ecosystems to determine the drivers and scale of true variability, to prioritize specific wetland management options, and develop the most effective monitoring approaches.

While there are further scientific aspects of blue carbon to be explored, there is sufficient knowledge and experience to advance demonstration projects across a range of systems and conditions, which can inform policy development and scaled implementation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A blue carbon primer: The state of coastal wetland carbon science, practice and policy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.1201/9780429435362","usgsCitation":"Windham-Myers, L., Crooks, S., and Tiffany Troxler, 2018, Blue Carbon Futures: moving forward on terra firma, chap. 28 of A blue carbon primer: The state of coastal wetland carbon science, practice and policy, p. 391-402, https://doi.org/10.1201/9780429435362.","productDescription":"11 p.","startPage":"391","endPage":"402","ipdsId":"IP-099273","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":365629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie","contributorId":217033,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":766273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crooks, Stephen","contributorId":217032,"corporation":false,"usgs":false,"family":"Crooks","given":"Stephen","email":"","affiliations":[{"id":38182,"text":"Silvestrum Climate Associates","active":true,"usgs":false}],"preferred":false,"id":766274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffany Troxler","contributorId":217029,"corporation":false,"usgs":false,"family":"Tiffany Troxler","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":766275,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204497,"text":"70204497 - 2018 - Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change","interactions":[],"lastModifiedDate":"2020-12-15T22:35:31.045435","indexId":"70204497","displayToPublicDate":"2018-11-16T14:27:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change","docAbstract":"

Deterministic dynamical modeling of future climate conditions and associated hazards, such as flooding, can be computationally-expensive if century-long time-series of waves, sea level variations, and overland flow patterns are simulated. To alleviate some of the computational costs, local impacts of individual coastal storms can be explored by first identifying particular events or scenarios of interest and dynamically modeling those events in detail. In this study, an efficient approach to selecting storm events for subsequent deterministic detailed modeling of coastal flooding is presented. The approach identifies locally relevant scenarios derived from regional datasets spanning long time-periods and covering large geographic areas. This is done by identifying storm events from global climate models using a robust, yet computationally simple approach for calculating total water level proxies at the shore, assuming a linear superposition of the important processes contributing to the overall total water level. Clustering of the total water level time-series is used to define coherent coastal cells where similar return period water level extrema occur in response to region-wide storms. Results show that the more severe but rare coastal flood events (e.g., the 100-year (yr) event) typically occur from the same storm across the region, but that a number of different storms are responsible for the less severe but more frequent local extreme water levels (e.g., the 1-yr event). This new ‘storm selection’ approach is applied to the Southern California Bight, a region of varying shoreline orientations that is subject to wave refraction across complex bathymetry, and shadowing, focusing, diffraction, and dissipation of wave energy by islands. Results indicate that wave runup dominates total water level extremes at this study site, highlighting the importance of downscaling global-scale models to nearshore waves when seeking accurate projections of local coastal hazards in response to climate change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2018.08.003","usgsCitation":"Erikson, L.H., Espejo, A., Barnard, P., Katherine A. Serafin, Hegermiller, C., O'Neill, A., Ruggerio, P., Limber, P.W., and Mendez, F.J., 2018, Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change: Coastal Engineering, v. 140, p. 316-330, https://doi.org/10.1016/j.coastaleng.2018.08.003.","productDescription":"15 p.","startPage":"316","endPage":"330","ipdsId":"IP-077289","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468243,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.coastaleng.2018.08.003","text":"External Repository"},{"id":366001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.2451171875,\n 32.63937487360669\n ],\n [\n -116.5869140625,\n 32.63937487360669\n ],\n [\n -116.5869140625,\n 35.10193405724606\n ],\n [\n -121.2451171875,\n 35.10193405724606\n ],\n [\n -121.2451171875,\n 32.63937487360669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Espejo, Antonio","contributorId":217673,"corporation":false,"usgs":false,"family":"Espejo","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":767254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katherine A. Serafin","contributorId":187534,"corporation":false,"usgs":false,"family":"Katherine A. Serafin","affiliations":[],"preferred":false,"id":767256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruggerio, Peter","contributorId":67403,"corporation":false,"usgs":true,"family":"Ruggerio","given":"Peter","email":"","affiliations":[],"preferred":false,"id":767259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mendez, Fernando J.","contributorId":140322,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[{"id":13456,"text":"IH Cantrabria","active":true,"usgs":false}],"preferred":false,"id":767261,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70200934,"text":"70200934 - 2018 - The influence of seep habitats on sediment macrofaunal biodiversity and functional traits","interactions":[],"lastModifiedDate":"2018-12-05T14:05:19","indexId":"70200934","displayToPublicDate":"2018-11-16T11:21:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"The influence of seep habitats on sediment macrofaunal biodiversity and functional traits","docAbstract":"

Chemosynthetic ecosystems in the Gulf of Mexico (GOM) support dense communities of seep megafaunal invertebrates that rely on endosymbiotic bacteria for nutrition. Distinct infaunal communities are associated with the biogenic habitats created by seep biota, where habitat heterogeneity and sediment geochemistry influence local macrofaunal community structure. Here we examine the community structure and function of seep infaunal communities in the GOM in relation to environmental drivers and estimated proximity to seeps. We modeled seep distribution within 3 major seep fields (AC601, GC852, and AT340), and examined the influence of proximity to seep and associated sediment environment on infaunal community structure and function. To model seep habitat distribution, we used known seep occurrence data from ROV and towed camera images, terrain variables derived from high resolution multibeam bathymetry (gridded to 3 m resolution), and a maximum entropy (Maxent) approach. Model performance was high, with mean area under the curve for each habitat ranging from 0.851 for mussel to 0.908 for tubeworm habitat, with the models highly influenced by terrain rugosity. Replicate sediment cores were collected from the three sites in 2007 and processed for macrofauna and environmental characteristics. A majority of the taxa (86%) occurred within 16 m of modeled seep habitat and increased distance from modeled seeps was generally associated with lower calculated seep index coupled with decreased macrofaunal densities. Distance-based linear regression indicated that patterns in macrofaunal communities were driven by proximity to modeled seep habitat and profile curvature, a metric for the shape of the maximum slope. Similarly, variance in infaunal functional traits was best explained by proximity to seep, but also sediment C:N, reflecting the relative influence of sediment chemistry, including organic content, on infaunal communities. Results suggest that northern GOM seep infaunal community assemblages and their function are structured by factors that influence food availability and habitat heterogeneity. Given the abundance of seeps in the GOM and in the world’s oceans, this study supports the premise that the sphere of influence of seeps is spatially extensive.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2018.10.004","usgsCitation":"Demopoulos, A.W., Bourque, J.R., Durkin, A., and Cordes, E.E., 2018, The influence of seep habitats on sediment macrofaunal biodiversity and functional traits: Deep-Sea Research Part I: Oceanographic Research Papers, v. 142, p. 77-93, https://doi.org/10.1016/j.dsr.2018.10.004.","productDescription":"17 p.","startPage":"77","endPage":"93","ipdsId":"IP-092914","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468244,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2018.10.004","text":"Publisher Index Page"},{"id":437683,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FB524M","text":"USGS data release","linkHelpText":"The influence of hydrocarbon seeps on sediment macrofaunal biodiversity and functional traits"},{"id":359513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","volume":"142","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bae4b045bfcadf7f2c","contributors":{"authors":[{"text":"Demopoulos, Amanda W. J. 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":206536,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"","middleInitial":"W. J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":751380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourque, Jill R. 0000-0003-3809-2601 jbourque@usgs.gov","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":5452,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","email":"jbourque@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":751381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durkin, Alanna","contributorId":210654,"corporation":false,"usgs":false,"family":"Durkin","given":"Alanna","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":751382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordes, Erik E.","contributorId":37623,"corporation":false,"usgs":false,"family":"Cordes","given":"Erik","email":"","middleInitial":"E.","affiliations":[{"id":16710,"text":"Temple University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":751383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216314,"text":"70216314 - 2018 - Degradation of 100‐m‐scale rocky ejecta craters at the InSight Landing Site on Mars and implications for surface processes and erosion rates in the hesperian and amazonian","interactions":[],"lastModifiedDate":"2020-11-11T15:38:23.698218","indexId":"70216314","displayToPublicDate":"2018-11-16T09:36:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7353,"text":"Journal of Geophysical Research - Planets","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of 100‐m‐scale rocky ejecta craters at the InSight Landing Site on Mars and implications for surface processes and erosion rates in the hesperian and amazonian","docAbstract":"

Rocky ejecta craters (RECs) at the Interior Exploration using Seismic Investigations, Geodesy and Heat Transport (InSight) landing site on Elysium Planitia, Mars, provide constraints on crater modification and rates for the Hesperian and Amazonian. The RECs are between 10 m and 1.2 km in diameter and exhibit five classes of preservation. Class 1 represents pristine craters with sharp rims and abundant ejected rocks. From Classes 2 to 5, rims become more subdued, craters are infilled, and the ejecta become discontinuously distributed. High‐Resolution Imaging Science Experiment digital elevation models indicate a maximum depth to diameter ratio of ~0.15, which is lower than pristine models for craters of similar size. The low ratio is related to the presence of a loosely consolidated regolith and early‐stage eolian infill. Rim heights have an average height to diameter ratio of ~0.03 for the most pristine class. The size‐frequency distribution of RECs, plotted using cumulative and differential methods, indicates that crater classes within the diameter range of 200 m to 1.2 km are separated by ~100 to 200 Myr. Smaller craters degrade faster, with classes separated by <100 Myr. Rim erosion can be entirely modeled by nonlinear diffusional processes using the calculated timescales and a constant diffusivity of 8 × 10−7 m2/year for craters 200 to 500 m in diameter. Diffusion models only partly capture depth‐related degradation, which requires eolian infill. Depth degradation and rim erosion rates are 10−2 to 10−3 m/Myr, respectively. The rates are consistent with relatively slow modification that is typical of the last two epochs of Martian history.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JE005618","usgsCitation":"Sweeney, J., Warner, N.H., Ganti, V., Golombek, M.P., Lamb, M.P., Fergason, R.L., and Kirk, R.L., 2018, Degradation of 100‐m‐scale rocky ejecta craters at the InSight Landing Site on Mars and implications for surface processes and erosion rates in the hesperian and amazonian: Journal of Geophysical Research - Planets, v. 123, no. 10, p. 2732-2759, https://doi.org/10.1029/2018JE005618.","productDescription":"28 p.","startPage":"2732","endPage":"2759","ipdsId":"IP-097429","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468246,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018je005618","text":"External Repository"},{"id":380417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweeney, J.","contributorId":196344,"corporation":false,"usgs":false,"family":"Sweeney","given":"J.","email":"","affiliations":[],"preferred":false,"id":804642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, N. H","contributorId":244804,"corporation":false,"usgs":false,"family":"Warner","given":"N.","email":"","middleInitial":"H","affiliations":[{"id":48982,"text":"Department of Geological Sciences, State University of New York at Geneseo","active":true,"usgs":false}],"preferred":false,"id":804643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganti, V.","contributorId":167364,"corporation":false,"usgs":false,"family":"Ganti","given":"V.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":804644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golombek, Matthew P.","contributorId":175450,"corporation":false,"usgs":false,"family":"Golombek","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":804645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamb, M. P.","contributorId":172652,"corporation":false,"usgs":false,"family":"Lamb","given":"M.","email":"","middleInitial":"P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":804646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergason, Robin L. 0000-0002-2044-1714","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":206167,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":804648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":804647,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254571,"text":"70254571 - 2018 - Calibration of regional hydraulic and transport properties of an arid-region aquifer under modern and paleorecharge conditions using water levels and environmental tracers","interactions":[],"lastModifiedDate":"2024-06-03T11:44:55.821178","indexId":"70254571","displayToPublicDate":"2018-11-16T06:41:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of regional hydraulic and transport properties of an arid-region aquifer under modern and paleorecharge conditions using water levels and environmental tracers","docAbstract":"

A two-dimensional numerical groundwater flow model was established and calibrated for the hyperarid Najd region in southern Oman. The results indicate that recent recharge rates are required to sustain the observed groundwater heads in the Najd. The model was also used to estimate possible ranges of past recharge rates and the effective porosity of the main aquifer unit. Recharge rates during past humid periods were estimated to be no more than 1–3 times modern rates. The effective porosity was estimated to be between 0.06 and 0.093. Insight into the nature of the long-term transport within the aquifer was gained by using transient model runs over the last 350 ka and (1) varying the recharge intensity (from 0.1 to 2.5 times modern), and (2) the timing and duration of humid and dry periods. Finally, results indicate that although recharge rates and the flow conditions have likely changed over time, a steady-state model is capable of reproducing the observed groundwater residence times in the Najd based on carbon-14, helium and chlorine-36 dating.


","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1894-z","usgsCitation":"Muller, T., and Sanford, W.E., 2018, Calibration of regional hydraulic and transport properties of an arid-region aquifer under modern and paleorecharge conditions using water levels and environmental tracers: Hydrogeology Journal, v. 27, no. 2, p. 685-701, https://doi.org/10.1007/s10040-018-1894-z.","productDescription":"17 p.","startPage":"685","endPage":"701","ipdsId":"IP-099686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":429442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Oman","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[58.86114,21.11403],[58.48799,20.42899],[58.03432,20.48144],[57.82637,20.243],[57.66576,19.736],[57.7887,19.06757],[57.69439,18.94471],[57.23426,18.94799],[56.60965,18.57427],[56.51219,18.08711],[56.28352,17.87607],[55.66149,17.88413],[55.26994,17.63231],[55.2749,17.22835],[54.791,16.9507],[54.23925,17.04498],[53.57051,16.70766],[53.10857,16.65105],[52.78218,17.34974],[52.00001,19],[54.99998,19.99999],[55.66666,22],[55.20834,22.70833],[55.23449,23.11099],[55.52584,23.52487],[55.52863,23.9336],[55.98121,24.13054],[55.80412,24.2696],[55.88623,24.92083],[56.39685,24.92473],[56.84514,24.24167],[57.40345,23.87859],[58.13695,23.74793],[58.72921,23.56567],[59.1805,22.9924],[59.4501,22.66027],[59.80806,22.53361],[59.80615,22.31052],[59.44219,21.71454],[59.28241,21.43389],[58.86114,21.11403]]],[[[56.39142,25.89599],[56.26104,25.71461],[56.07082,26.05546],[56.36202,26.39593],[56.48568,26.30912],[56.39142,25.89599]]]]},\"properties\":{\"name\":\"Oman\"}}]}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Muller, Thomas","contributorId":337080,"corporation":false,"usgs":false,"family":"Muller","given":"Thomas","email":"","affiliations":[{"id":80964,"text":"Department of Hydrogeology, Helmhoz-Centre for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":901928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":901929,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199133,"text":"70199133 - 2018 - Filtering of cyclic period infiltration in a layered vadose zone: 1. Approximation of damping and time lags","interactions":[],"lastModifiedDate":"2021-02-01T17:54:29.16291","indexId":"70199133","displayToPublicDate":"2018-11-15T11:53:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Filtering of cyclic period infiltration in a layered vadose zone: 1. Approximation of damping and time lags","docAbstract":"

Core Ideas

Infiltration and downward percolation of water in the vadose zone are important processes that can define the availability of water resources. We present an approach that provides insight into how periodic infiltration forcings at the land surface filter in a layered vadose zone in terms of changes in the timing and magnitude of hydrologic responses. To represent geologically realistic systems, we used vertical sequences of one‐dimensional periodic solutions, where each solution represents a single soil in a layered profile. The overall approach is based on a linearized Richards equation and assumes that the effects on flow of continuous pressure head changes at soil interfaces are negligible. We evaluated the limit of these approximations by comparison with results from the numerical model HYDRUS‐1D, which uses the full Richards equation. We compared (i) the depth at which flux variations became steady, and (ii) the travel time of wetting fronts to reach a depth of 3 m. The solution was reasonably accurate (error less than a factor of 2) for infiltration cycles with periods from 30 to 365 d and for fluxes common in arid and semiarid environments (0–2 mm d−1). Lag times between a surface forcing and response at any depth were accurate (error less than a factor of 1.1). The approximation generally provided consistent estimates of the damping and time lag, such that it overestimated the depths where fluxes were steady and underestimated the time for a forcing to reach a specific depth.

","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2018.03.0047","usgsCitation":"Dickinson, J.E., and Ferre, T.P., 2018, Filtering of cyclic period infiltration in a layered vadose zone: 1. Approximation of damping and time lags: Vadose Zone Journal, v. 17, no. 1, p. 1-16, https://doi.org/10.2136/vzj2018.03.0047.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-077789","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":468249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.03.0047","text":"Publisher Index Page"},{"id":382854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, T. P. A","contributorId":206539,"corporation":false,"usgs":false,"family":"Ferre","given":"T.","email":"","middleInitial":"P. A","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":744272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211496,"text":"70211496 - 2018 - New England and northern New York forest ecosystem vulnerability assessment and synthesis: A report from the New England Climate Change Response Framework project","interactions":[],"lastModifiedDate":"2020-08-04T21:01:51.925161","indexId":"70211496","displayToPublicDate":"2018-11-15T10:42:41","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NRS-173","title":"New England and northern New York forest ecosystem vulnerability assessment and synthesis: A report from the New England Climate Change Response Framework project","docAbstract":"

Forest ecosystems will face direct and indirect impacts from a changing climate over the 21st century. This assessment evaluates the vulnerability of forest ecosystems across the New England region (Connecticut, Maine, Massachusetts, New Hampshire, northern New York, Rhode Island, and Vermont) under a range of future climates. We synthesized and summarized information on the contemporary landscape, provided information on past climate trends, and described a range of projected future climates. This information was used to parameterize and run multiple vegetation impact models, which provided a range of potential vegetative responses to climate. Finally, we brought these results before a multidisciplinary panel of scientists and natural resource professionals familiar with the forests of this region to assess ecosystem vulnerability through a formal consensus-based expert elicitation process. Observed trends in climate over the historical record from 1901 through 2011 show that the mean annual temperature has increased across the region by 2.4 °F, with even greater warming during winter. Precipitation patterns also changed during this time, with a slight trend toward greater annual precipitation and a substantial increase in extreme precipitation events. Projected climate trends using downscaled global climate model data indicate a potential increase in mean annual temperature of 3 to 8 °F for the assessment area by 2100. Projections for precipitation indicate an increase in fall and winter precipitation, and spring and summer precipitation projections vary by scenario. We identified potential impacts on forests by incorporating these future climate projections into three forest impact models (DISTRIB, LINKAGES, and LANDIS PRO). Model projections suggest that many northern and boreal species, including balsam fir, red spruce, and black spruce, may fare worse under future conditions, but other species may benefit from projected changes in climate. Published literature on climate impacts related to wildfire, invasive species, and forest pests and diseases also contributed to the overall determination of climate change vulnerability. We assessed vulnerability for eight forest communities in the assessment area. The assessment was conducted through a formal elicitation process with 20 scientists and resource managers from across the area, who considered vulnerability in terms of the potential impacts and the adaptive capacity for an individual community. Montane spruce-fir, low-elevation spruce-fir, and lowland mixed conifer forests were determined to be the most vulnerable communities. Central hardwoods, transition hardwoods, and pitch pine-scrub oak forests were perceived as having lower vulnerability to projected changes in climate. These projected changes in climate and the associated impacts and vulnerabilities will have important implications for economically valuable timber species, forest-dependent animals and plants, recreation, and long-term natural resource planning.

","language":"English","publisher":"Northern Research Station","doi":"10.2737/NRS-GTR-173","usgsCitation":"Janowiak, M., D’Amato, A., Swanston, C., Iverson, L.R., Thompson, F., Dijak, W.D., Matthews, S., Peters, M.P., Prasad, A., Fraser, J.S., Brandt, L.A., Butler-Leopold, P.R., Handler, S.D., Shannon, P.D., Burbank, D., Campbell, J., Cogbill, C., Duveneck, M.J., Emery, M.R., Fisichelli, N., Foster, J., Hushaw, J., Kenefic, L., Mahaffey, A., Morelli, T.L., Reo, N., Schaberg, P.G., Simmons, K.R., Weiskittel, A., Wilmot, S., Hollinger, D., Lane, E., Rustad, L., and Templar, P.H., 2018, New England and northern New York forest ecosystem vulnerability assessment and synthesis: A report from the New England Climate Change Response Framework project: General Technical Report NRS-173, 234 p., https://doi.org/10.2737/NRS-GTR-173.","productDescription":"234 p.","ipdsId":"IP-079431","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science 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Rogers","contributorId":236955,"corporation":false,"usgs":false,"family":"Simmons","given":"K.","email":"","middleInitial":"Rogers","affiliations":[],"preferred":false,"id":794817,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Weiskittel, Aaron","contributorId":236956,"corporation":false,"usgs":false,"family":"Weiskittel","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":794818,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wilmot, Sandy","contributorId":236957,"corporation":false,"usgs":false,"family":"Wilmot","given":"Sandy","email":"","affiliations":[],"preferred":false,"id":794819,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Hollinger, David","contributorId":222534,"corporation":false,"usgs":false,"family":"Hollinger","given":"David","affiliations":[],"preferred":false,"id":794820,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Lane, Erin","contributorId":236958,"corporation":false,"usgs":false,"family":"Lane","given":"Erin","affiliations":[],"preferred":false,"id":794821,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Rustad, Lindsey","contributorId":73493,"corporation":false,"usgs":true,"family":"Rustad","given":"Lindsey","email":"","affiliations":[],"preferred":false,"id":794822,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Templar, Pamela H.","contributorId":217438,"corporation":false,"usgs":false,"family":"Templar","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":794823,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}} ,{"id":70216309,"text":"70216309 - 2018 - Fire and tree death: Understanding and improving modeling of fire-induced tree mortality","interactions":[],"lastModifiedDate":"2020-11-11T14:42:14.27702","indexId":"70216309","displayToPublicDate":"2018-11-15T08:36:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Fire and tree death: Understanding and improving modeling of fire-induced tree mortality","docAbstract":"

Each year wildland fires kill and injure trees on millions of forested hectares globally, affecting plant and animal biodiversity, carbon storage, hydrologic processes, and ecosystem services. The underlying mechanisms of fire-caused tree mortality remain poorly understood, however, limiting the ability to accurately predict mortality and develop robust modeling applications, especially under novel future climates. Virtually all post-fire tree mortality prediction systems are based on the same underlying empirical model described in Ryan and Reinhardt (1988 Can. J. For. Res. 18 1291–7), which was developed from a limited number of species, stretching model assumptions beyond intended limits. We review the current understanding of the mechanisms of fire-induced tree mortality, provide recommended standardized terminology, describe model applications and limitations, and conclude with key knowledge gaps and future directions for research. We suggest a two-pronged approach to future research: (1) continued improvements and evaluations of empirical models to quantify uncertainty and incorporate new regions and species and (2) acceleration of basic, physiological research on the proximate and ultimate causes of fire-induced tree mortality to incorporate processes of tree death into models. Advances in both empirical and process fire-induced tree modeling will allow creation of hybrid models that could advance understanding of how fire injures and kills trees, while improving prediction accuracy of fire-driven feedbacks on ecosystems and landscapes, particularly under novel future conditions.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aae934","usgsCitation":"Hood, S.M., Varner, J.M., van Mantgem, P., and Cansler, C.A., 2018, Fire and tree death: Understanding and improving modeling of fire-induced tree mortality: Environmental Research Letters, v. 13, no. 11, 113004, 17 p., https://doi.org/10.1088/1748-9326/aae934.","productDescription":"113004, 17 p.","ipdsId":"IP-091982","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aae934","text":"Publisher Index Page"},{"id":380408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2018-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":804622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varner, J. Morgan 0000-0003-3781-5839","orcid":"https://orcid.org/0000-0003-3781-5839","contributorId":244802,"corporation":false,"usgs":false,"family":"Varner","given":"J.","email":"","middleInitial":"Morgan","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":804623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":804624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":804625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200388,"text":"ofr20181166 - 2018 - Overview and progress of the pallid sturgeon assessment framework redesign process","interactions":[],"lastModifiedDate":"2018-11-15T15:58:21","indexId":"ofr20181166","displayToPublicDate":"2018-11-14T16:01:52","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1166","displayTitle":"Overview and Progress of the Pallid Sturgeon Assessment Framework Redesign Process","title":"Overview and progress of the pallid sturgeon assessment framework redesign process","docAbstract":"

The Pallid Sturgeon Population Assessment Program (PSPAP) was initiated in 2003, and full implementation began in 2006, to monitor the trend of Scaphirhynchus albus (pallid sturgeon) and native fish communities in the Upper and Lower Missouri River Basins. The original PSPAP (v. 1.0) was a catch-effort based monitoring program where population abundance and trend were monitored using a relative index, catch per unit effort. In 2013, the Missouri River Recovery Program (MRRP), led by the U.S. Army Corps of Engineers (USACE) and the U.S. Fish and Wildlife Service (USFWS), began a reassessment of science and monitoring approaches to support a new river management plan. The need to redesign the PSPAP was triggered by the recognition that the PSPAP v. 1.0 would not be optimally effective in contributing information needed to make decisions about the pallid sturgeon fundamental management objective—to avoid jeopardizing the continued existence of the pallid sturgeon from USACE actions in the Missouri River—identified in the Missouri River Science and Adaptive Management Plan. The fundamental management objective includes two management subobjectives: (1) increase pallid sturgeon recruitment to age 1 and (2) maintain or increase numbers of pallid sturgeon as an interim measure until sufficient and sustained natural recruitment occurs. These two management subobjectives motivated the development of two fundamental information objectives for PSPAP v. 2.0: (1) to provide information needed to quantify recruitment to age 1 and (2) to quantify pallid sturgeon population abundance and trend. The charge to the authors of this report was to develop an approach to monitoring the pallid sturgeon population in the Missouri River that would contribute information toward gauging overall performance of management actions to achieve the fundamental objectives of the MRRP and to potentially improve understanding of linkages from the management activities to population responses. We used transparent and robust processes to identify alternative monitoring designs that meet the fundamental objectives for managing pallid sturgeon in the MRRP, with a focus on simulation models to evaluate the performance of varying monitoring. This report documents the process of comparing potential alternative monitoring design abilities to provide decision-relevant information for management of the species. The process includes  evaluation of information content and attendant uncertainties and considers tradeoffs in types of information valued by stakeholders. The anticipated end product of this process will be synthesized in a decision-support tool that can be used to facilitate learning and iterative revisions of the monitoring roadmap.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181166","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Colvin, M.E., Reynolds, S., Jacobson, R.B., Pierce, L.L., Steffensen, K.D., and Welker, T.L., 2018, Overview and progress of the pallid sturgeon assessment framework redesign process: U.S. Geological Survey Open-File Report 2018–1166, 87 p., https://doi.org/10.3133/ofr20181166.","productDescription":"vii, 87 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-097824","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":359394,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1166/ofr20181166.pdf","text":"Report","size":"5.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1166"},{"id":359393,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1166/coverthb.jpg"}],"contact":"

Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-11-14","noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","scienceBaseUri":"5bed426fe4b0b3fc5cf91c6e","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":748693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Sara","contributorId":209740,"corporation":false,"usgs":false,"family":"Reynolds","given":"Sara","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":748694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":748692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Landon L.","contributorId":196925,"corporation":false,"usgs":false,"family":"Pierce","given":"Landon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":748695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":748696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welker, Timothy L.","contributorId":140976,"corporation":false,"usgs":false,"family":"Welker","given":"Timothy","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":748697,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200902,"text":"70200902 - 2018 - Two-event lode-ore deposition at Butte, USA: 40Ar/39Ar and U-Pb documentation of Ag-Au-polymetallic lodes overprinted by younger stockwork Cu-Mo ores and penecontemporaneous Cu lodes","interactions":[],"lastModifiedDate":"2018-11-14T15:13:05","indexId":"70200902","displayToPublicDate":"2018-11-14T15:12:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Two-event lode-ore deposition at Butte, USA: 40Ar/39Ar and U-Pb documentation of Ag-Au-polymetallic lodes overprinted by younger stockwork Cu-Mo ores and penecontemporaneous Cu lodes","docAbstract":"

The ore-genesis model for world-class deposits of the Butte mining district, Montana, USA, is deep pre-Main Stage porphyry Cu-Mo and overlying Main Stage Ag-Zn-Cu zoned-lode deposits, both of which formed from hydrothermal fluids driven by minor volumes of rhyolitic magma. The lode-specific model is that hydrothermal processes diminished in intensity outward from district center along lode veins, synchronously forming metal zones. The accepted models are controverted by new geologic and multi-method geochronologic studies.

The new data reveal the following sequence of events: (1) Thermal study of country rock indicates that the 76.9-Ma Butte Granite cooled to 350–400 °C by 4 m.y. after emplacement. (2) Five quartz porphyry rhyolite dikes were emplaced at 67–65 Ma and another at 60 Ma (SHRIMP U-Pb) into the cooled Butte Granite without resetting 40Ar/39Ar ages in country rock. (3) Fifty-eight white mica and K-feldspar samples from alteration envelopes adjacent to Ag-Au-polymetallic lodes in outer parts of the district, Zn-rich lodes in intermediate parts, and Cu-rich lodes in the district center yield 40Ar/39Ar ages of 73–70 Ma for Ag-rich lodes, 65–64 Ma for Cu-rich lodes, and complex age spectra of 69–65 Ma for Zn-rich lodes.

The data show that Ag-Au-polymetallic lodes occupied cross-district fractures by about 73 Ma, forming the greater Butte mining district. At 67–65 Ma, minor quartz porphyry dikes were emplaced into central and eastern parts of the rejuvenated fracture system but without evidence of related cupola or volcanic rocks or of thermal disturbance in the country rock. At 64.5 Ma, overlapping hydrothermal cells formed two stockwork Cu-Mo domes in deep parts of the fracture system. At 65–64 Ma and closely related to late-stage stockwork Cu-Mo activity, a penecontemporaneous hydrothermal pulse formed a high-sulfidation hydrothermal plume that (1) utilized the large re-opened fractures to cannibalize and remobilize Cu from autologous, stockwork, and older Ag-Au-polymetallic lodes, (2) deposited the rich, high-sulfidation Cu lodes, and (3) mobilized metals from early Ag-Au-polymetallic veins in middle parts of the district, transported the metals outward and redeposited them, enriching early veins, especially in the intermediate Zn plus Cu areas.

Metals zones in lodes of the Butte district are the result of an intensely focused, Cu-rich hydrothermal plume that variably reworked the center of significantly larger, 10 m.y. older, Ag-Au-polymetallic lodes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2018.05.018","usgsCitation":"Lund, K., McAleer, R., Aleinikoff, J.N., Cosca, M.A., and Kunk, M.J., 2018, Two-event lode-ore deposition at Butte, USA: 40Ar/39Ar and U-Pb documentation of Ag-Au-polymetallic lodes overprinted by younger stockwork Cu-Mo ores and penecontemporaneous Cu lodes: Ore Geology Reviews, v. 102, p. 666-700, https://doi.org/10.1016/j.oregeorev.2018.05.018.","productDescription":"35 p.","startPage":"666","endPage":"700","ipdsId":"IP-087572","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":359430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Butte","volume":"102","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4270e4b0b3fc5cf91c70","contributors":{"authors":[{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":751253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":751254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":751257,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200903,"text":"70200903 - 2018 - Multi-scale effects of land cover and urbanization on the habitat suitability of an endangered toad","interactions":[],"lastModifiedDate":"2018-11-14T15:08:37","indexId":"70200903","displayToPublicDate":"2018-11-14T15:08:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale effects of land cover and urbanization on the habitat suitability of an endangered toad","docAbstract":"

Habitat degradation, entwined with land cover change, is a major driver of biodiversity loss. Effects of land cover change on species can be direct (when habitat is converted to alternative land cover types) or indirect (when land outside of the species habitat is altered). Hydrologic and ecological connections between terrestrial and aquatic systems are well understood, exemplifying how spatially disparate land cover conditions may influence aquatic habitats, but are rarely examined. We sought to quantify relative effects of land cover at two different but interacting scales on habitat suitability for the endangered arroyo toad (Anaxyrus californicus). Based on an existing distribution model for the arroyo toad and available land cover data, we estimated effects of land cover along streams and within entire watersheds on habitat suitability using structural equation modeling. Relationships between land cover and habitat suitability differed between scales, and broader, watershed-scale conditions influenced land cover along the embedded stream networks. We found anthropogenic development and forest cover at the watershed-scale negatively impacted habitat suitability, but development along stream networks was positively associated with suitability. The positive association between development along streams and habitat suitability may be attributable to increased spatial heterogeneity along urbanized streams, or related factors including policies designed to conserve riparian habitats amidst development. These findings show arroyo toad habitat is influenced by land cover across multiple scales, and can inform conservation of the species. Furthermore, our methodology can help elucidate similar dynamics with other taxa, particularly those reliant on both terrestrial and aquatic environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.032","usgsCitation":"Treglia, M.L., Landon, A.C., Fisher, R.N., Kyle, G., and Fitzgerald, L.A., 2018, Multi-scale effects of land cover and urbanization on the habitat suitability of an endangered toad: Biological Conservation, v. 228, p. 310-318, https://doi.org/10.1016/j.biocon.2018.10.032.","productDescription":"9 p.","startPage":"310","endPage":"318","ipdsId":"IP-094043","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":359429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"228","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4270e4b0b3fc5cf91c72","contributors":{"authors":[{"text":"Treglia, Michael L.","contributorId":145921,"corporation":false,"usgs":false,"family":"Treglia","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":16299,"text":"Dep't Wildlife and Fisheries, Texas A&M U, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":751170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam C","contributorId":210605,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","email":"","middleInitial":"C","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":751171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":751169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kyle, Gerard","contributorId":210606,"corporation":false,"usgs":false,"family":"Kyle","given":"Gerard","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":751172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Lee A.","contributorId":141035,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":751173,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215868,"text":"70215868 - 2018 - Hearing capabilities and behavioural response of sea lamprey (Petromyzon marinus) to low frequency sounds","interactions":[],"lastModifiedDate":"2020-10-30T17:46:16.626014","indexId":"70215868","displayToPublicDate":"2018-11-14T12:43:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hearing capabilities and behavioural response of sea lamprey (Petromyzon marinus) to low frequency sounds","docAbstract":"

Hearing ability is well studied across teleost fishes in general, and vertebrates more broadly, but little is known about sound detection abilities of lampreys (Petromyzontiformes), a basal extant vertebrate group. The sea lamprey (Petromyzon marinus) is a destructive invader of the Laurentian Great Lakes, while numerous lamprey species (including the sea lamprey) are imperiled in their native ranges. In both management scenarios, behavioral manipulation tactics to control movement and distribution are desired. Therefore, we describe the hearing ability and behavioral responses of adult and juvenile sea lamprey to sound to reveal how hearing may have evolved in vertebrates and determine possible management applications. Based on auditory evoked potentials, sea lamprey detected tones of 50–300 Hz with equal sensitivity, but did not detect sounds above 300 Hz. In a laboratory bioassay, sea lamprey behaviorally responded to sound range of 50–200 Hz, with a general increase in swimming and a decrease in resting behaviours at both juvenile and adult stages relative to no-sound controls. To our knowledge, this is the first test of lamprey hearing, and the results support that sound may be a means to modify lamprey behaviour for management purposes.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0359","usgsCitation":"Mickle, M., Miehls, S.M., Johnson, N., and Higgs, D.M., 2018, Hearing capabilities and behavioural response of sea lamprey (Petromyzon marinus) to low frequency sounds: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 9, 8 p., https://doi.org/10.1139/cjfas-2018-0359.","productDescription":"8 p.","ipdsId":"IP-101835","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468251,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0359","text":"External Repository"},{"id":379983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mickle, Megan","contributorId":244234,"corporation":false,"usgs":false,"family":"Mickle","given":"Megan","email":"","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":803546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgs, Dennis M.","contributorId":244235,"corporation":false,"usgs":false,"family":"Higgs","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":803549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200380,"text":"sir20185110 - 2018 - Deep aquifer recharge in the Columbia River Basalt Group, upper Umatilla River Basin, northeastern Oregon","interactions":[],"lastModifiedDate":"2018-11-14T16:07:08","indexId":"sir20185110","displayToPublicDate":"2018-11-14T09:49:45","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5110","displayTitle":"Deep Aquifer Recharge in the Columbia River Basalt Group, Upper Umatilla River Basin, Northeastern Oregon","title":"Deep aquifer recharge in the Columbia River Basalt Group, upper Umatilla River Basin, northeastern Oregon","docAbstract":"

Groundwater is an important component of the water resources of the upper Umatilla River Basin of northeastern Oregon. As such, understanding the capacity of the resource is vital. Past studies have estimated recharge in the study area. One recent study of the upper Umatilla River Basin indicated that about 80 percent of recharge entering the groundwater system is discharged to streams in the study area through shallow groundwater-flow paths, leaving about 20 percent of recharge to infiltrate deeper parts of the aquifer system. The purpose of this work is to quantify the spatial distribution and variability of deep aquifer recharge in the study area and to understand the reasons for a relatively low percentage of total recharge reaching the deeper parts of the groundwater-flow system.

The study area is divided into two distinct physiographic regions—the highly dissected Blue Mountains and the lowland plains. Underlying both regions of the study area are basalts of the Columbia River Basalt Group (CRBG), which is the principal aquifer in the study area. Deep incision by streams in the Blue Mountains disrupts the lateral continuity of the CRBG aquifer units, and infiltrating water is more readily diverted laterally and discharged to streams and springs. In the lowland plains, incision is less pronounced. The shallow CRBG units might be disrupted, but deeper aquifer units retain their lateral continuity and enable groundwater to infiltrate deeper and flow laterally farther downgradient before discharging.

Recharge to the deep basalt aquifers is estimated as the difference between total recharge and base flow. Total recharge is the portion of precipitation and applied irrigation water that infiltrates past the root zone to become groundwater recharge. Of this total recharge, a proportion discharges to springs and streams in the study area, and the remaining water infiltrates below the base level of streams and recharges the deep basalt aquifers and contributes to the regional groundwater flow system. The portion of total recharge that recharges the regional flow system is referred to as deep aquifer recharge.

Total recharge is the portion of precipitation and applied irrigation water that infiltrates past the root zone to become groundwater recharge. It is the sum of recharge from precipitation and recharge from infiltration of irrigation water. Recharge from precipitation was calculated using a regression method developed for the Columbia Plateau. Recharge from infiltrating irrigation water was obtained from a water balance model developed for the Columbia Plateau.

Base flow, the component of streamflow that represents groundwater discharge as opposed to runoff from the land surface, was estimated using the Base Flow Index Modified (BFI-Modified) method, an empirical hydrograph separation technique. Base flow was estimated in eight subbasins with streamgages within the study area. Five of the eight subbasins in which base flow was estimated had permitted water rights for irrigation that specified surface water as the primary source of water. Maximum surface-water withdrawal for irrigation was estimated for all subbasins in which water rights for irrigation occur.

The base-flow estimate from BFI-Modified is assumed to be the minimum amount of base flow. The sum of the BFIModified base-flow estimate and the maximum permitted surface-water withdrawal estimate for each subbasin is assumed to be the maximum amount of base flow at the streamgage. These minimum and maximum estimates of base flow were used to calculate minimum and maximum values of deep aquifer recharge in each subbasin analyzed within the study area. Subbasin estimates were scaled up to the Blue Mountains and lowland plains regions, and to the entire study area.

Mean annual total recharge for 1981–2010 in the subbasins, analyzed as part of this work, ranged from 6 inches (in.) in the Patawa and Wildhorse Creek subbasins in the lowland plains to as much as 20 in. in the Umatilla River above Meacham Creek subbasin. Mean annual total recharge totaled 4 in. in the lowland plains region and 14 in. in the Blue Mountains. Mean annual total recharge for the entire study area was 11 in.

Mean annual base flow ranged from 1 in. in the Patawa and Wildhorse Creek subbasins in the lowland plains to as much as 14 in. in the Umatilla River above Meacham Creek subbasin in the Blue Mountains.

Mean annual deep aquifer recharge ranged from 4 in. in the Patawa and Wildhorse Creek subbasins in the lowland plains to as much as 8 in. in the Isqu’ulktpe Creek subbasin in the Blue Mountains. Deep aquifer recharge was 3–4 in. in the lowland plains region and 6 in. in the Blue Mountains. Over the entire study area, mean annual deep aquifer recharge was 5 in.

Most groundwater recharge (both total and deep aquifer) in the study area occurred in the Blue Mountains, which highlights the importance of the Blue Mountains as the principal source of groundwater for the study area and for aquifers farther downgradient. Total recharge in the Blue Mountains region represents 86 percent of the mean annual total recharge in the study area in an area that encompasses 65 percent of the study area. However, only 43–44 percent of the mean annual total recharge remains in the system to recharge the deeper, regional aquifer system because the rest is discharged as base flow within the Blue Mountains region. Within the lowland plains region of the study area, an estimated 67–84 percent of the mean annual total recharge remains in the system to recharge the deep, regional aquifer system. Although total recharge in the study area represents only 14 percent of the total recharge across the study area, it contributes 20–24 percent of the water to the deep aquifer.

The difference in the percentage of deep groundwater recharge in the Blue Mountains and the lowland plains is attributed to differences in the degree of stream incision. Stream channels are more incised in the Blue Mountains region than they are in the lowland plains. The dissection of the landscape in the Blue Mountains disrupts the lateral continuity of the CRBG aquifer units and allows groundwater to discharge to springs and streams rather than infiltrate more deeply. In the lowland plains region, incision is much less pronounced and deeper CRBG units likely retain their lateral continuity, enabling groundwater to infiltrate more deeply than in the Blue Mountains.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185110","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Pischel, E.M., Johnson, H.M., and Gingerich, S.B., 2018, Deep aquifer recharge in the Columbia River Basalt Group, upper Umatilla River Basin, northeastern Oregon: U.S. Geological Survey Scientific Investigations Report 2018–5110, 23 p., https://doi.org/10.3133/sir20185110.","productDescription":"Report: iv, 23 p.; Data release","onlineOnly":"Y","ipdsId":"IP-095179","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":359396,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5110/sir20185110.pdf","text":"Report","size":"6.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5110"},{"id":359397,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E548IN","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Selected data from deep aquifer recharge in the Columbia River Basalt Group, Upper Umatilla River Basin, northeastern Oregon"},{"id":359395,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5110/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Umatilla River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 45.25\n ],\n [\n -118,\n 45.25\n ],\n [\n -118,\n 46\n ],\n [\n -119,\n 46\n ],\n [\n -119,\n 45.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-11-14","noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","scienceBaseUri":"5bed4271e4b0b3fc5cf91c78","contributors":{"authors":[{"text":"Pischel, Esther M. 0000-0002-0393-6993 epischel@usgs.gov","orcid":"https://orcid.org/0000-0002-0393-6993","contributorId":5508,"corporation":false,"usgs":true,"family":"Pischel","given":"Esther","email":"epischel@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748661,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216874,"text":"70216874 - 2018 - Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea","interactions":[],"lastModifiedDate":"2020-12-11T14:15:27.269234","indexId":"70216874","displayToPublicDate":"2018-11-14T07:23:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea","docAbstract":"

Large carnivores are imperiled globally, and characteristics making them vulnerable to extinction (e.g., low densities and expansive ranges) also make it difficult to estimate demographic parameters needed for management. Here we develop an integrated population model to analyze capture-recapture, radiotelemetry, and count data for the Chukchi Sea subpopulation of polar bears (Ursus maritimus), 2008–2016. Our model addressed several challenges in capture-recapture studies for polar bears by including a multievent structure reflecting location and life history states, while accommodating state uncertainty. Female breeding probability was 0.83 (95% credible interval [CRI] = 0.71–0.90), with litter sizes of 2.18 (95% CRI = 1.71–2.82) for age-zero and 1.61 (95% CRI = 1.46–1.80) for age-one cubs. Total adult survival was 0.90 (95% CRI = 0.86–0.92) for females and 0.89 (95% CRI = 0.83–0.93) for males. Spring on-ice densities west of Alaska were 0.0030 bears/km2 (95% CRI = 0.0016–0.0060), similar to 1980s-era density estimates although methodological differences complicate comparison. Abundance of the Chukchi Sea subpopulation, derived by extrapolating density from the study area using a spatially-explicit habitat metric, was 2,937 bears (95% CRI = 1,552–5,944). Our findings are consistent with other lines of evidence suggesting the Chukchi Sea subpopulation has been productive in recent years, although it is uncertain how long this will continue given sea-ice loss due to climate change.

","language":"English","publisher":"Scientific Reports","doi":"10.1038/s41598-018-34824-7","usgsCitation":"Regehr, E.V., Hostetter, N.J., Wilson, R.H., Rode, K.D., St. Martin, M., and Converse, S.J., 2018, Integrated population modeling provides the first empirical estimates of vital rates and abundance for polar bears in the Chukchi Sea: Scientific Reports, v. 8, 16780, 12 p., https://doi.org/10.1038/s41598-018-34824-7.","productDescription":"16780, 12 p.","ipdsId":"IP-098279","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-34824-7","text":"Publisher Index Page"},{"id":381215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":806679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":806680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":806681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":806682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. Martin, Michelle","contributorId":150114,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":806683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":806684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216313,"text":"70216313 - 2018 - The role of a non-native tree in riparian vegetation expansion and channel narrowing along a dryland river","interactions":[],"lastModifiedDate":"2020-11-12T12:50:01.767733","indexId":"70216313","displayToPublicDate":"2018-11-11T12:47:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"The role of a non-native tree in riparian vegetation expansion and channel narrowing along a dryland river","docAbstract":"Along rivers, native and invasive species may establish and persist on active channel\nbedforms as part of channel narrowing. Using historical aerial photography and\ndendrochronology, we quantified spatial and temporal patterns of narrowing and\nvegetation expansion, including native Fremont cottonwood (Populus fremontii)\nand non‐native Russian olive (Elaeagnus angustifolia), along the largely unregulated\nEscalante River in south‐western United States. Russian olive establishment was\nexamined with respect to hydrologic and climate variables. Narrowing along the\nEscalante River was initiated during a mid‐20th century drought. Cottonwood rapidly\ncolonized higher, bar surfaces between the 1950s and 1981. Small numbers of\nRussian olive established in moist sites during this period as the channel narrowed\nby nearly 80%. After 1981, there was no obvious cottonwood establishment but\nlow channel bars and banks were rapidly colonized by Russian olive. Hydroclimate\npredictors were equivocal but exponential growth of this large‐seeded, shade‐tolerant\nspecies lagged its introduction by 30 years, apparently because of delayed reproductive\nmaturity, limited seed availability, and widespread availability of favourable establishment\nsites following initial channel narrowing. Sediment trapping, levee formation,\nand modification of channel form by dense, channel‐edge bands of Russian olive\nprogressively limited new establishment sites and by 2000, recruitment declined\nsharply. Our results have implications for management of non‐native tree invasions\nalong arid‐region rivers, including identification of low, moist, active channel bars\nwhere the establishment and physical impacts of Russian olive appear to be most\npronounced and where focused management efforts are likely to be most effective.","language":"English","publisher":"Wiley","doi":"10.1002/eco.1988","usgsCitation":"Scott, M., Reynolds, L.V., Shafroth, P., and Spencer, J.R., 2018, The role of a non-native tree in riparian vegetation expansion and channel narrowing along a dryland river: Ecohydrology, v. 11, no. 7, https://doi.org/10.1002/eco.1988.","productDescription":"e1988, 17 p.","startPage":"e1988","ipdsId":"IP-096763","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437685,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KH0MMK","text":"USGS data release","linkHelpText":"Geomorphic, climate, streamflow and vegetation data sets to reconstruct channel and vegetation changes associated with the invasion of Russian olive along the Escalante River, Utah 1950-2015."},{"id":380423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Escalante River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.43408203124999,\n 37.00255267215955\n ],\n [\n -111.29150390625,\n 37.00255267215955\n ],\n [\n -111.29150390625,\n 38.03078569382294\n ],\n [\n -112.43408203124999,\n 38.03078569382294\n ],\n [\n -112.43408203124999,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Michael L.","contributorId":244803,"corporation":false,"usgs":false,"family":"Scott","given":"Michael L.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":804638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Lindsay V.","contributorId":141182,"corporation":false,"usgs":false,"family":"Reynolds","given":"Lindsay","email":"","middleInitial":"V.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":804639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, John R.","contributorId":167381,"corporation":false,"usgs":false,"family":"Spencer","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":804641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}