{"pageNumber":"981","pageRowStart":"24500","pageSize":"25","recordCount":165533,"records":[{"id":70193475,"text":"70193475 - 2017 - Evolutionary and functional mitogenomics associated with the genetic restoration of the Florida panther","interactions":[],"lastModifiedDate":"2017-11-10T18:45:15","indexId":"70193475","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary and functional mitogenomics associated with the genetic restoration of the Florida panther","docAbstract":"<p><span>Florida panthers are endangered pumas that currently persist in reduced patches of habitat in South Florida, USA. We performed mitogenome reference-based assemblies for most parental lines of the admixed Florida panthers that resulted from the introduction of female Texas pumas into South Florida in 1995. With the addition of 2 puma mitogenomes, we characterized 174 single nucleotide polymorphisms (SNPs) across 12 individuals. We defined 5 haplotypes (Pco1–Pco5), one of which (Pco1) had a geographic origin exclusive to Costa Rica and Panama and was possibly introduced into the Everglades National Park, Florida, prior to 1995. Haplotype Pco2 was native to Florida. Haplotypes Pco3 and Pco4 were exclusive to Texas, whereas haplotype Pco5 had an undetermined geographic origin. Phylogenetic inference suggests that haplotypes Pco1–Pco4 diverged ~202000 (95% HPDI = 83000–345000) years ago and that haplotypes Pco2–Pco4 diverged ~61000 (95% HPDI = 9000–127000) years ago. These results are congruent with a south-to-north continental expansion and with a recent North American colonization by pumas. Furthermore, pumas may have migrated from Texas to Florida no earlier than ~44000 (95% HPDI = 2000–98000) years ago. Synonymous mutations presented a greater mean substitution rate than other mitochondrial functional regions: nonsynonymous mutations, tRNAs, rRNAs, and control region. Similarly, all protein-coding genes were under predominant negative selection constraints. We directly and indirectly assessed the presence of potential deleterious SNPs in the ND2 and ND5 genes in Florida panthers prior to and as a consequence of the introduction of Texas pumas. Screenings for such variants are recommended in extant Florida panthers.</span></p>","language":"English","publisher":"Oxford","doi":"10.1093/jhered/esx015","usgsCitation":"Ochoa, A., Onorato, D.P., Fitak, R.R., Roelke-Parker, M., and Culver, M., 2017, Evolutionary and functional mitogenomics associated with the genetic restoration of the Florida panther: Journal of Heredity, v. 108, no. 4, p. 449-455, https://doi.org/10.1093/jhered/esx015.","productDescription":"7 p.","startPage":"449","endPage":"455","ipdsId":"IP-084509","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esx015","text":"Publisher Index Page"},{"id":348597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"5a06c8d1e4b09af898c86142","contributors":{"authors":[{"text":"Ochoa, Alexander","contributorId":169994,"corporation":false,"usgs":false,"family":"Ochoa","given":"Alexander","email":"","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":721648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P.","contributorId":52704,"corporation":false,"usgs":true,"family":"Onorato","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitak, Robert R.","contributorId":169991,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false},{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":721650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roelke-Parker, Melody","contributorId":72715,"corporation":false,"usgs":true,"family":"Roelke-Parker","given":"Melody","affiliations":[],"preferred":false,"id":721651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194324,"text":"70194324 - 2017 - Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land","interactions":[],"lastModifiedDate":"2017-11-22T13:30:53","indexId":"70194324","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land","docAbstract":"<p><span>In response to a changing climate, many species alter habitat use. Polar bears&nbsp;</span><i>Ursus maritimus</i><span><span>&nbsp;</span>in the southern Beaufort Sea have increasingly used land for maternal denning. To aid in detecting denning behavior, we developed an objective method to identify polar bear denning events using temperature sensor data collected by satellite-linked transmitters deployed on adult females between 1985 and 2013. We then applied this method to determine whether southern Beaufort Sea polar bears have continued to increase land denning with recent sea-ice loss and examined whether sea-ice conditions affect the distribution of dens between pack-ice and coastal substrates. Because land use in summer and autumn has also increased, we examined potential associations between summering substrate and denning substrate. Statistical process control methods applied to temperature-sensor data identified denning events with 94.5% accuracy in comparison to direct observations (n = 73) and 95.7% accuracy relative to subjective classifications based on temperature, location, and activity sensor data (n = 116). We found an increase in land-based denning during the study period. The frequency of land denning was directly related to the distance that sea ice retreated from the coast. Among females that denned, all 14 that summered on land subsequently denned there, whereas 29% of the 69 bears summering on ice denned on land. These results suggest that denning on land may continue to increase with further loss of sea ice. While the effects that den substrate have on nutrition, energetics, and reproduction are unclear, more polar bears denning onshore will likely increase human-bear interactions.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps12000","usgsCitation":"Olson, J.W., Rode, K.D., Eggett, D.L., Smith, T.S., Wilson, R.R., Durner, G.M., Fischbach, A., Atwood, T.C., and Douglas, D., 2017, Collar temperature sensor data reveal long-term patterns in southern Beaufort Sea polar bear den distribution on pack ice and land: Marine Ecology Progress Series, v. 564, p. 211-224, https://doi.org/10.3354/meps12000.","productDescription":"14 p.","startPage":"211","endPage":"224","ipdsId":"IP-076135","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438441,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP00Z5","text":"USGS data release","linkHelpText":"Denning Behavior Classifications Using Temperature Sensor Data on Collars Deployed on Polar Bears in the Southern Beaufort Sea, 1986-2013"},{"id":349283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","volume":"564","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc1be4b06e28e9c23a3e","contributors":{"authors":[{"text":"Olson, Jay W","contributorId":200778,"corporation":false,"usgs":false,"family":"Olson","given":"Jay","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":723307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":723306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggett, Dennis L.","contributorId":191388,"corporation":false,"usgs":false,"family":"Eggett","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, T. S.","contributorId":47326,"corporation":false,"usgs":true,"family":"Smith","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, R. R.","contributorId":200779,"corporation":false,"usgs":false,"family":"Wilson","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723312,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723313,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189714,"text":"70189714 - 2017 - Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure","interactions":[],"lastModifiedDate":"2017-07-21T11:50:56","indexId":"70189714","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure","docAbstract":"<p><span>The ShakeCast system is an openly available, near real-time post-earthquake information management system. ShakeCast is widely used by public and private emergency planners and responders, lifeline utility operators and transportation engineers to automatically receive and process ShakeMap products for situational awareness, inspection priority, or damage assessment of their own infrastructure or building portfolios. The success of ShakeCast to date and its broad, critical-user base mandates improved software usability and functionality, including improved engineering-based damage and loss functions. In order to make the software more accessible to novice users—while still utilizing advanced users’ technical and engineering background—we have developed a “ShakeCast Workbook”, a well documented, Excel spreadsheet-based user interface that allows users to input notification and inventory data and export XML files requisite for operating the ShakeCast system. Users will be able to select structure based on a minimum set of user-specified facility (building location, size, height, use, construction age, etc.). “Expert” users will be able to import user-modified structural response properties into facility inventory associated with the HAZUS Advanced Engineering Building Modules (AEBM). The goal of the ShakeCast system is to provide simplified real-time potential impact and inspection metrics (i.e., green, yellow, orange and red priority ratings) to allow users to institute customized earthquake response protocols. Previously, fragilities were approximated using individual ShakeMap intensity measures (IMs, specifically PGA and 0.3 and 1s spectral accelerations) for each facility but we are now performing capacity-spectrum damage state calculations using a more robust characterization of spectral deamnd.We are also developing methods for the direct import of ShakeMap’s multi-period spectra in lieu of the assumed three-domain design spectrum (at 0.3s for constant acceleration; 1s or 3s for constant velocity and constant displacement at very long response periods). As part of ongoing ShakeCast research and development, we will also explore the use of ShakeMap IM uncertainty estimates and evaluate the assumption of employing multiple response spectral damping values rather than the single 5%-damped value currently employed. Developing and incorporating advanced fragility assignments into the ShakeCast Workbook requires related software modifications and database improvements; these enhancements are part of an extensive rewrite of the ShakeCast application.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 16th World Conference on Earthquake Engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"16th World Conference on Earthquake Engineering","language":"English","publisher":"16th World Conference on Earthquake Engineering","usgsCitation":"Wald, D.J., Lin, K., Kircher, C.A., Jaiswal, K.S., Luco, N., Turner, L., and Slosky, D., 2017, Development and utilization of USGS ShakeCast for rapid post-earthquake assessment of critical facilities and infrastructure, <i>in</i> Proceedings of the 16th World Conference on Earthquake Engineering.","ipdsId":"IP-080219","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344163,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://usgs.github.io/shakecast/2017_16WCEE.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312aae4b0ec1a488718d7","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Kuo-wan 0000-0002-7520-8151 klin@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-8151","contributorId":1539,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kircher, C. A.","contributorId":194952,"corporation":false,"usgs":false,"family":"Kircher","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, L.","contributorId":194953,"corporation":false,"usgs":false,"family":"Turner","given":"L.","email":"","affiliations":[],"preferred":false,"id":705902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slosky, Daniel 0000-0001-7407-3606 dslosky@usgs.gov","orcid":"https://orcid.org/0000-0001-7407-3606","contributorId":194954,"corporation":false,"usgs":true,"family":"Slosky","given":"Daniel","email":"dslosky@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188352,"text":"70188352 - 2017 - Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California","interactions":[],"lastModifiedDate":"2018-03-16T11:29:21","indexId":"70188352","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California","docAbstract":"<p><span>Previously reported whole-rock δ</span><sup>18</sup><span>O values (5.6–7.8‰) for primitive quaternary mafic lavas from the southernmost Cascades (SMC) are often elevated (up to 1‰) relative to δ</span><sup>18</sup><span>O values expected for mafic magmas in equilibrium with mantle peridotite. Olivine, clinopyroxene, and plagioclase crystals were separated from 29 geochemically well-characterized mafic lavas for δ</span><sup>18</sup><span>O measurements by laser fluorination to assess modification of the mantle sources by ancient and modern subducted components. Oxygen isotope values of olivine phenocrysts in calc-alkaline lavas and contemporaneous high alumina olivine tholeiitic (HAOT) lavas generally exceed depleted mantle olivine values (~4.9–5.3‰). Modern addition of up to 6 wt% slab-derived fluid from Gorda serpentinized peridotite dehydration (~15‰) or chlorite dehydration (~10‰) within the serpentinized peridotite can provide the<span>&nbsp;</span></span><sup>18</sup><span>O enrichment detected in olivine phenocrysts (δ</span><sup>18</sup><span>O</span><sub>olivine</sub><span><span>&nbsp;</span>= 5.3–6.3‰) in calc-alkaline mafic lavas, and elevate<span>&nbsp;</span></span><sup>18</sup><span>O in overlying mantle lithosphere, as well. Specifically, although HAOT δ</span><sup>18</sup><span>O</span><sub>olivine</sub><span><span>&nbsp;</span>values (5.5–5.7‰) may reflect partial melting in heterogeneous<span>&nbsp;</span></span><sup>18</sup><span>O enriched mantle source domains that developed during multiple subduction events associated with terrane accretion (e.g., &lt;1 wt% of ~15‰ materials), an additional<span>&nbsp;</span></span><sup>18</sup><span>O enrichment of up to 2 wt% of 10–15‰ slab-derived hydrous fluids might be accommodated. The calc-alkaline primitive magmas appear to have experienced a continuous range of open system processes, which operate in the mantle and during rapid magma ascent to eruption, and occasionally post quench. Textural relationships and geochemistry of these lava samples are consistent with blends of mafic phenocrysts and degassed melts in varying states of<span>&nbsp;</span></span><sup>18</sup><span>O disequilibrium. In lenses of accumulated melt within peridotite near the base of the crust, coexisting olivine and clinopyroxene δ</span><sup>18</sup><span>O values probably are not at isotopic equilibrium because fluids introduced into the system perturbed the δ</span><sup>18</sup><span>O</span><sub>melt</sub><span><span>&nbsp;</span>values. A “sudden” melt extraction event interrupts<span>&nbsp;</span></span><sup>18</sup><span>O equilibration in phenocrysts and poorly mixed melt(s). Rapid ascent of volatile oversaturated primitive mafic magma through the crust appears to be accompanied by devolatilization and crystallization of anorthite-rich plagioclase with elevated δ</span><sup>18</sup><span>O</span><sub>plag</sub><span><span>&nbsp;</span>values. The (Sr/P)</span><sub>N</sub><span><span>&nbsp;</span>values for the whole rock geochemistry are consistent with a<span>&nbsp;</span></span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr ~0.7027 slab-derived fluid addition into the infertile peridotite source of magmas, and melt devolatilization is recorded in the mixture of disequilibrium δ</span><sup>18</sup><span>O values for the constituent phases of lavas. Morbidity of the Gorda Plate as it undergoes intense deformation from the spreading ridge to the trench is likely a key factor to developing the carrying capacity of hydrous fluids and mineral phases in the slab subducting into the SMC mantle.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2017-5588","usgsCitation":"Underwood, S.J., and Clynne, M.A., 2017, Oxygen isotope geochemistry of mafic phenocrysts in primitive mafic lavas from the southernmost Cascade Range, California: American Mineralogist, v. 102, no. 2, p. 251-261, https://doi.org/10.2138/am-2017-5588.","productDescription":"11 p.","startPage":"251","endPage":"261","ipdsId":"IP-075965","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4920654296875,\n              39.9434364619742\n            ],\n            [\n              -120.794677734375,\n              39.9434364619742\n            ],\n            [\n              -120.794677734375,\n              40.990264773996884\n            ],\n            [\n              -122.4920654296875,\n              40.990264773996884\n            ],\n            [\n              -122.4920654296875,\n              39.9434364619742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"5afee8d3e4b0da30c1bfc4be","contributors":{"authors":[{"text":"Underwood, Sandra J.","contributorId":192684,"corporation":false,"usgs":false,"family":"Underwood","given":"Sandra","email":"","middleInitial":"J.","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":697361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":697360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188345,"text":"70188345 - 2017 - Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations","interactions":[],"lastModifiedDate":"2017-06-06T16:13:07","indexId":"70188345","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations","docAbstract":"<p><span>Eight seismic stations were placed in a linear array with a topographic relief of 222&nbsp;m over Mission Peak in the east San Francisco Bay region for a period of one year to study topographic effects. Seventy‐two well‐recorded local earthquakes are used to calculate spectral amplitude ratios relative to a reference site. A well‐defined fundamental resonance peak is observed with individual station amplitudes following the theoretically predicted progression of larger amplitudes in the upslope direction. Favored directions of vibration are also seen that are related to the trapping of shear waves within the primary ridge dimensions. Spectral peaks above the fundamental one are also related to topographic effects but follow a more complex pattern. Theoretical predictions using a 3D velocity model and accurate topography reproduce many of the general frequency and time‐domain features of the data. Shifts in spectral frequencies and amplitude differences, however, are related to deficiencies of the model and point out the importance of contributing factors, including the shear‐wave velocity under the topographic feature, near‐surface velocity gradients, and source parameters.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160159","usgsCitation":"Hartzell, S.H., Ramirez-Guzman, L., Meremonte, M., and Leeds, A.L., 2017, Ground motion in the presence of complex Topography II: Earthquake sources and 3D simulations: Bulletin of the Seismological Society of America, v. 107, no. 1, p. 344-358, https://doi.org/10.1785/0120160159.","productDescription":"15 p.","startPage":"344","endPage":"358","ipdsId":"IP-078909","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.05,\n              37.85\n            ],\n            [\n              -121.65,\n              37.85\n            ],\n            [\n              -121.65,\n              37.3\n            ],\n            [\n              -122.05,\n              37.3\n            ],\n            [\n              -122.05,\n              37.85\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5937bf2de4b0f6c2d0d9c75e","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramirez-Guzman, Leonardo","contributorId":175444,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":697337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meremonte, Mark","contributorId":192672,"corporation":false,"usgs":false,"family":"Meremonte","given":"Mark","email":"","affiliations":[],"preferred":false,"id":697338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697339,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186420,"text":"70186420 - 2017 - Expanding the role of reactive transport models in critical zone processes","interactions":[],"lastModifiedDate":"2017-04-05T10:00:40","indexId":"70186420","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Expanding the role of reactive transport models in critical zone processes","docAbstract":"<p><span>Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurement efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models offer tools to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, micro-organisms, carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including “omics” data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth surface systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2016.09.001","usgsCitation":"Li, L., Maher, K., Navarre-Sitchler, A., Druhan, J., Meile, C., Lawrence, C., Moore, J., Perdrial, J., Sullivan, P., Thompson, A., Jin, L., Bolton, E.W., Brantley, S.L., Dietrich, W., Mayer, K.U., Steefel, C., Valocchi, A.J., Zachara, J.M., Kocar, B.D., McIntosh, J., Tutolo, B.M., Kumar, M., Sonnenthal, E., Bao, C., and Beisman, J., 2017, Expanding the role of reactive transport models in critical zone processes: Earth-Science Reviews, v. 165, p. 280-301, https://doi.org/10.1016/j.earscirev.2016.09.001.","productDescription":"22 p.","startPage":"280","endPage":"301","ipdsId":"IP-070272","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/81f302jz","text":"Publisher Index Page"},{"id":339191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e60272e4b09da6799ac681","contributors":{"authors":[{"text":"Li, Li","contributorId":190439,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":688432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maher, Kate","contributorId":190440,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","email":"","affiliations":[],"preferred":false,"id":688433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":688434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druhan, Jennifer","contributorId":190442,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[],"preferred":false,"id":688435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meile, Christof","contributorId":190443,"corporation":false,"usgs":false,"family":"Meile","given":"Christof","email":"","affiliations":[],"preferred":false,"id":688436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Corey 0000-0002-2179-2436 clawrence@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-2436","contributorId":190438,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"clawrence@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":688431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Joel","contributorId":190444,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","email":"","affiliations":[],"preferred":false,"id":688437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":688438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Pamela","contributorId":190446,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","affiliations":[],"preferred":false,"id":688439,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thompson, Aaron","contributorId":190447,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[],"preferred":false,"id":688440,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jin, Lixin","contributorId":190448,"corporation":false,"usgs":false,"family":"Jin","given":"Lixin","email":"","affiliations":[],"preferred":false,"id":688441,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bolton, Edward W.","contributorId":190449,"corporation":false,"usgs":false,"family":"Bolton","given":"Edward","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":688442,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brantley, Susan L. 0000-0003-4320-2342","orcid":"https://orcid.org/0000-0003-4320-2342","contributorId":184201,"corporation":false,"usgs":false,"family":"Brantley","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":688443,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dietrich, William E.","contributorId":115128,"corporation":false,"usgs":true,"family":"Dietrich","given":"William E.","affiliations":[],"preferred":false,"id":688444,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mayer, K. Ulrich","contributorId":151069,"corporation":false,"usgs":false,"family":"Mayer","given":"K.","email":"","middleInitial":"Ulrich","affiliations":[{"id":18176,"text":"Department of Earth and Ocean Science, University of British Columbia, Vancouver, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":688445,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Steefel, Carl","contributorId":66932,"corporation":false,"usgs":false,"family":"Steefel","given":"Carl","email":"","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":688446,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688447,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":688448,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kocar, Benjamin D.","contributorId":44460,"corporation":false,"usgs":true,"family":"Kocar","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":688449,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McIntosh, Jennifer","contributorId":100059,"corporation":false,"usgs":true,"family":"McIntosh","given":"Jennifer","affiliations":[],"preferred":false,"id":688450,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Tutolo, Benjamin M.","contributorId":190458,"corporation":false,"usgs":false,"family":"Tutolo","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":688452,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kumar, Mukesh","contributorId":190460,"corporation":false,"usgs":false,"family":"Kumar","given":"Mukesh","email":"","affiliations":[],"preferred":false,"id":688454,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":688455,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Bao, Chen","contributorId":190457,"corporation":false,"usgs":false,"family":"Bao","given":"Chen","email":"","affiliations":[],"preferred":false,"id":688451,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Beisman, Joe","contributorId":190459,"corporation":false,"usgs":false,"family":"Beisman","given":"Joe","email":"","affiliations":[],"preferred":false,"id":688453,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70188375,"text":"70188375 - 2017 - Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed","interactions":[],"lastModifiedDate":"2017-06-07T14:04:58","indexId":"70188375","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3711,"text":"Water Environment Research","active":true,"publicationSubtype":{"id":10}},"title":"Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed","docAbstract":"<p><span>Microbiological and hydrological data were used to rank tributary stream contributions of bacteria to the Little Blue River in Independence, Missouri. Concentrations, loadings and yields of </span><i>E. coli</i><span> and microbial source tracking (MST) markers, were characterized during base flow and storm events in five subbasins within Independence, as well as sources entering and leaving the city through the river. The </span><i>E. coli</i><span> water quality threshold was exceeded in 29% of base-flow and 89% of storm-event samples. The total contribution of </span><i>E. coli</i><span> and MST markers from tributaries within Independence to the Little Blue River, regardless of streamflow, did not significantly increase the median concentrations leaving the city. Daily loads and yields of </span><i>E. coli</i><span> and MST markers were used to rank the subbasins according to their contribution of each constituent to the river. The ranking methodology used in this study may prove useful in prioritizing remediation in the different subbasins.</span></p>","language":"English","publisher":"Water Environment Federation","doi":"10.2175/106143016X14798353399412","collaboration":"City of Independence, Missouri Water Pollution Control Station","usgsCitation":"Bushon, R.N., Brady, A.M., Christensen, E.D., and Stelzer, E.A., 2017, Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed: Water Environment Research, v. 89, no. 2, p. 127-143, https://doi.org/10.2175/106143016X14798353399412.","productDescription":"17 p.","startPage":"127","endPage":"143","ipdsId":"IP-069132","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":342249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","otherGeospatial":"Little Blue 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]\n}","volume":"89","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910ace4b0764e6c5e8856","contributors":{"authors":[{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697454,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189662,"text":"70189662 - 2017 - The role of initial coherence and path materials in the dynamics of three rock avalanche case histories","interactions":[],"lastModifiedDate":"2017-07-19T14:46:25","indexId":"70189662","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5465,"text":"Geoenvironmental Disasters","active":true,"publicationSubtype":{"id":10}},"title":"The role of initial coherence and path materials in the dynamics of three rock avalanche case histories","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Background</strong></p><p id=\"Par1\" class=\"Para\">Rock avalanches are flow-like landslides that can travel at extremely rapid velocities and impact surprisingly large areas. The mechanisms that lead to the unexpected mobility of these flows are unknown and debated. Mechanisms proposed in the literature can be broadly classified into those that rely on intrinsic characteristics of the rock avalanche material, and those that rely on extrinsic factors such as path material. In this work a calibration-based numerical model is used to back-analyze three rock avalanche case histories.&nbsp;The results of these back-analyses are then used to infer factors that govern rock avalanche motion</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par2\" class=\"Para\">Our study has revealed two key insights that must be considered when analyzing rock avalanches. Results from two of the case histories demonstrate the importance of accounting for the initially coherent phase of rock avalanche motion. Additionally, the back-analyzed basal resistance parameters, as well as the best-fit rheology, are different for each case history.&nbsp;This suggests that the governing mechanisms controlling rock avalanche motion are unlikely to be intrinsic.&nbsp;The back-analyzed strength parameters correspond well to those that would be expected by considering the path material that the rock avalanches overran.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusion</strong></p><p id=\"Par3\" class=\"Para\">Our results show that accurate simulation of rock avalanche motion must account for the initially coherent phase of movement, and that the mechanisms governing rock avalanche motion are unlikely to be intrinsic to the failed material. Interaction of rock avalanche debris with path materials is the likely mechanism that governs the motion of many rock avalanches.</p></div>","language":"English","publisher":"Springer","doi":"10.1186/s40677-017-0070-4","usgsCitation":"Aaron, J., McDougall, S., Moore, J.R., Coe, J.A., and Hungr, O., 2017, The role of initial coherence and path materials in the dynamics of three rock avalanche case histories: Geoenvironmental Disasters, v. 4, no. 5, 15 p., https://doi.org/10.1186/s40677-017-0070-4.","productDescription":"15 p.","ipdsId":"IP-083179","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":461759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40677-017-0070-4","text":"Publisher Index Page"},{"id":344065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","noUsgsAuthors":false,"publicationDate":"2017-02-07","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a887","contributors":{"authors":[{"text":"Aaron, Jordan","contributorId":194904,"corporation":false,"usgs":false,"family":"Aaron","given":"Jordan","email":"","affiliations":[],"preferred":false,"id":705675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDougall, Scott","contributorId":194908,"corporation":false,"usgs":false,"family":"McDougall","given":"Scott","email":"","affiliations":[],"preferred":false,"id":705676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Jeffrey R.","contributorId":194909,"corporation":false,"usgs":false,"family":"Moore","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":705677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hungr, Oldrich","contributorId":194910,"corporation":false,"usgs":false,"family":"Hungr","given":"Oldrich","email":"","affiliations":[],"preferred":false,"id":705679,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193299,"text":"70193299 - 2017 - Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium","interactions":[],"lastModifiedDate":"2017-11-11T14:05:33","indexId":"70193299","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium","docAbstract":"<p>This research used coring and optically stimulated luminescence (OSL) dating of displaced, deeply buried Quaternary alluvium to determine vertical displacement rates for the Meeman‐Shelby fault and the Joiner ridge horst, two structures in northeastern Arkansas that have no modern seismicity associated with them. We drilled continuous cores of the entire alluvial section in the hanging wall of each structure, performed detailed core descriptions and analyses, and obtained three OSL ages from each core. The Meeman‐Shelby fault core consists of 36&nbsp;m of 4.3–5.2‐ka Holocene alluvium overlying 4&nbsp;m of 14.3‐ka Kennett alluvium that in turn overlies the upper part of Eocene Claiborne Group sediments at a depth of 41&nbsp;m. Seismic reflection indicates that the basal (Kennett) alluvium at the Meeman‐Shelby fault is displaced ∼28  m across the Meeman‐Shelby fault, which equates to a time‐averaged vertical displacement rate of 2  mm/yr within the last 14.3&nbsp;ka. The Joiner ridge horst core consists, in descending order, of 11&nbsp;m of 6.3‐ka Holocene alluvium, 14&nbsp;m of 11.5‐ka Morehouse alluvium, a paleosol, 6&nbsp;m of Kennett alluvium, and 4&nbsp;m of 20.3‐ka Sikeston alluvium that in turn overlies the upper part of Eocene Claiborne Group sediments at a depth of 36&nbsp;m. Lignite exploration drilling conducted in the 1970s indicates that basal (Sikeston) alluvium is displaced ∼20  m across the eastern bounding fault of the Joiner ridge horst, resulting in a time‐averaged vertical displacement rate of ∼1  mm/yr within the last 20.3&nbsp;ka. These late Quaternary displacement rates are comparable to time‐averaged displacement rates of faults within the active New Madrid seismic zone.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160171","usgsCitation":"Ward, A., Counts, R.C., Van Arsdale, R., Larsen, D., and Mahan, S.A., 2017, Quaternary displacement rates on the Meeman‐Shelby fault and Joiner ridge horst, eastern Arkansas: Results from coring Mississippi River alluvium: Seismological Research Letters, v. 88, no. 2A, p. 442-455, https://doi.org/10.1785/0220160171.","productDescription":"14 p.","startPage":"442","endPage":"455","ipdsId":"IP-079369","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River","volume":"88","issue":"2A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5a07e93ee4b09af898c8cc07","contributors":{"authors":[{"text":"Ward, Alex","contributorId":199298,"corporation":false,"usgs":false,"family":"Ward","given":"Alex","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counts, Ronald C. 0000-0002-8426-1990 rcounts@usgs.gov","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":5343,"corporation":false,"usgs":true,"family":"Counts","given":"Ronald","email":"rcounts@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Arsdale, Roy","contributorId":199299,"corporation":false,"usgs":false,"family":"Van Arsdale","given":"Roy","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Daniel","contributorId":199300,"corporation":false,"usgs":false,"family":"Larsen","given":"Daniel","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":718588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":718589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192900,"text":"70192900 - 2017 - A land data assimilation system for sub-Saharan Africa food and water security applications","interactions":[],"lastModifiedDate":"2017-10-30T15:06:03","indexId":"70192900","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A land data assimilation system for sub-Saharan Africa food and water security applications","docAbstract":"<p><span>Seasonal agricultural drought monitoring systems, which rely on satellite remote sensing and land surface models (LSMs), are important for disaster risk reduction and famine early warning. These systems require the best available weather inputs, as well as a long-term historical record to contextualize current observations. This article introduces the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), a custom instance of the NASA Land Information System (LIS) framework. The FLDAS is routinely used to produce multi-model and multi-forcing estimates of hydro-climate states and fluxes over semi-arid, food insecure regions of Africa. These modeled data and derived products, like soil moisture percentiles and water availability, were designed and are currently used to complement FEWS NET’s operational remotely sensed rainfall, evapotranspiration, and vegetation observations. The 30+ years of monthly outputs from the FLDAS simulations are publicly available from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) and recommended for use in hydroclimate studies, early warning applications, and by agro-meteorological scientists in Eastern, Southern, and Western Africa.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2017.12","usgsCitation":"McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C., Peters-Lidard, C., and Verdin, J., 2017, A land data assimilation system for sub-Saharan Africa food and water security applications: Scientific Data, v. 4, p. 1-19, https://doi.org/10.1038/sdata.2017.12.","productDescription":"Article number 170012; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-077287","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470090,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2017.12","text":"Publisher Index Page"},{"id":347730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-14","publicationStatus":"PW","scienceBaseUri":"59f83a39e4b063d5d30980f3","contributors":{"authors":[{"text":"McNally, Amy","contributorId":145810,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":717321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arsenault, Kristi","contributorId":198836,"corporation":false,"usgs":false,"family":"Arsenault","given":"Kristi","affiliations":[],"preferred":false,"id":717322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Sujay","contributorId":198837,"corporation":false,"usgs":false,"family":"Kumar","given":"Sujay","email":"","affiliations":[],"preferred":false,"id":717323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":717324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":717325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Shugong","contributorId":198838,"corporation":false,"usgs":false,"family":"Wang","given":"Shugong","email":"","affiliations":[],"preferred":false,"id":717326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717320,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peters-Lidard, Christa","contributorId":198839,"corporation":false,"usgs":false,"family":"Peters-Lidard","given":"Christa","email":"","affiliations":[],"preferred":false,"id":717327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717328,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193019,"text":"70193019 - 2017 - Fish and invertebrate flow-biology relationships to support the determination of ecological flows for North Carolina","interactions":[],"lastModifiedDate":"2017-11-21T13:54:05","indexId":"70193019","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Fish and invertebrate flow-biology relationships to support the determination of ecological flows for North Carolina","docAbstract":"<p><span>A method was developed to characterize fish and invertebrate responses to flow alteration in the state of North Carolina. This method involved using 80th percentile linear quantile regressions to relate six flow metrics to the diversity of riffle-run fish and benthic Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness. All twelve flow-biology relationships were found to be significant, with both benthos and fish showing negative responses to ecodeficits and reductions in flow. The responses of benthic richness to reduced flows were consistent and generally greater than that of fish diversity. However, the riffle-run fish guild showed the greatest reductions in diversity in response to summer ecodeficits. The directional consistency and differential seasonal sensitivities of fish and invertebrates to reductions in flow highlight the need to consider seasonality when managing flows. In addition, all relationships were linear, and therefore do not provide clear thresholds to support ecological flow determinations and flow prescriptions to prevent the degradation of fish and invertebrate communities in North Carolina rivers and streams. A method of setting ecological flows based on the magnitude of change in biological condition that is acceptable to society is explored.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12497","usgsCitation":"Phelan, J., Cuffney, T.F., Patterson, L.A., Eddy, M., Dykes, R., Pearsall, S., Goudreau, C., Mead, J., and Tarver, F., 2017, Fish and invertebrate flow-biology relationships to support the determination of ecological flows for North Carolina: Journal of the American Water Resources Association, v. 53, no. 1, p. 42-55, https://doi.org/10.1111/1752-1688.12497.","productDescription":"14 p.","startPage":"42","endPage":"55","ipdsId":"IP-077299","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":349217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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A.","contributorId":177289,"corporation":false,"usgs":false,"family":"Patterson","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eddy, Michele","contributorId":198941,"corporation":false,"usgs":false,"family":"Eddy","given":"Michele","email":"","affiliations":[],"preferred":false,"id":717669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dykes, Robert","contributorId":198942,"corporation":false,"usgs":false,"family":"Dykes","given":"Robert","email":"","affiliations":[],"preferred":false,"id":717670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearsall, Sam","contributorId":198943,"corporation":false,"usgs":false,"family":"Pearsall","given":"Sam","email":"","affiliations":[],"preferred":false,"id":717671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goudreau, 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,{"id":70192944,"text":"70192944 - 2017 - Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier","interactions":[],"lastModifiedDate":"2017-10-30T15:00:45","indexId":"70192944","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier","docAbstract":"<p><span>Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008 to 2013. In this investigation, we sought to contribute to the availability of consistent CONUS crop cover maps by extending temporal coverage of the NASS CDL archive back eight additional years to 2000 by creating annual NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million records to train a classification tree algorithm and develop a crop classification model (CCM). The model was used to create crop cover maps for the CONUS for years 2000–2013 at 250&nbsp;m spatial resolution. The CCM and the maps for years 2008–2013 were assessed for accuracy relative to resampled NASS CDLs. The CCM performed well against a withheld test data set with a model prediction accuracy of over 90%. The assessment of the crop cover maps indicated that the model performed well spatially, placing crop cover pixels within their known domains; however, the model did show a bias towards the ‘Other’ crop cover class, which caused frequent misclassifications of pixels around the periphery of large crop cover patch clusters and of pixels that form small, sparsely dispersed crop cover patches.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2016.1271469","usgsCitation":"Friesz, A.M., Wylie, B., and Howard, D.M., 2017, Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier: Remote Sensing Letters, v. 8, no. 4, p. 389-398, https://doi.org/10.1080/2150704X.2016.1271469.","productDescription":"10 p.","startPage":"389","endPage":"398","ipdsId":"IP-075490","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"59f83a38e4b063d5d30980ef","contributors":{"authors":[{"text":"Friesz, Aaron M. 0000-0003-4096-3824 afriesz@usgs.gov","orcid":"https://orcid.org/0000-0003-4096-3824","contributorId":5943,"corporation":false,"usgs":true,"family":"Friesz","given":"Aaron","email":"afriesz@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":197161,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce K.","email":"wylie@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":717394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 danny.howard.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":197063,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","email":"danny.howard.ctr@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":717393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192213,"text":"70192213 - 2017 - Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault","interactions":[],"lastModifiedDate":"2017-10-31T14:57:12","indexId":"70192213","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault","docAbstract":"<p><span>Tidal triggering of earthquakes is hypothesized to provide quantitative information regarding the fault's stress state, poroelastic properties, and may be significant for our understanding of seismic hazard. To date, studies of regional or global earthquake catalogs have had only modest successes in identifying tidal triggering. We posit that the smallest events that may provide additional evidence of triggering go unidentified and thus we developed a technique to improve the identification of very small magnitude events. We identify events applying a method known as inter-station seismic coherence where we prioritize detection and discrimination over characterization. Here we show tidal triggering of earthquakes on the San Andreas Fault. We find the complex interaction of semi-diurnal and fortnightly tidal periods exposes both stress threshold and critical state behavior. Our findings reveal earthquake nucleation processes and pore pressure conditions – properties of faults that are difficult to measure, yet extremely important for characterizing earthquake physics and seismic hazards.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2016.12.014","usgsCitation":"Delorey, A., van der Elst, N., and Johnson, P., 2017, Tidal triggering of earthquakes suggests poroelastic behavior on the San Andreas Fault: Earth and Planetary Science Letters, v. 460, p. 164-170, https://doi.org/10.1016/j.epsl.2016.12.014.","productDescription":"7 p.","startPage":"164","endPage":"170","ipdsId":"IP-068597","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1341854","text":"Publisher Index Page"},{"id":347908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              35.5\n            ],\n            [\n              -120,\n              35.5\n            ],\n            [\n              -120,\n              36.4\n            ],\n            [\n              -121,\n              36.4\n            ],\n            [\n              -121,\n              35.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"460","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bb8e4b0531197af9ffb","contributors":{"authors":[{"text":"Delorey, Andrew","contributorId":189149,"corporation":false,"usgs":false,"family":"Delorey","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":714832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Paul","contributorId":189150,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","email":"","affiliations":[],"preferred":false,"id":714834,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192623,"text":"70192623 - 2017 - An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","interactions":[],"lastModifiedDate":"2018-05-13T12:10:31","indexId":"70192623","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics","docAbstract":"<p><span>Ecological invasions and colonizations occur dynamically through space and time. Estimating the distribution and abundance of colonizing species is critical for efficient management or conservation. We describe a statistical framework for simultaneously estimating spatiotemporal occupancy and abundance dynamics of a colonizing species. Our method accounts for several issues that are common when modeling spatiotemporal ecological data including multiple levels of detection probability, multiple data sources, and computational limitations that occur when making fine-scale inference over a large spatiotemporal domain. We apply the model to estimate the colonization dynamics of sea otters (</span><i>Enhydra lutris</i><span>) in Glacier Bay, in southeastern Alaska.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1643","usgsCitation":"Williams, P.J., Hooten, M., Womble, J.N., Esslinger, G.G., Bower, M., and Hefley, T.J., 2017, An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics: Ecology, v. 98, no. 2, p. 328-336, https://doi.org/10.1002/ecy.1643.","productDescription":"9 p.","startPage":"328","endPage":"336","ipdsId":"IP-076210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":461769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1643","text":"Publisher Index Page"},{"id":348565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d2e4b09af898c8614e","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Womble, Jamie N.","contributorId":198631,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":721554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":721555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bower, Michael R.","contributorId":44787,"corporation":false,"usgs":true,"family":"Bower","given":"Michael R.","affiliations":[],"preferred":false,"id":721556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721557,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192168,"text":"70192168 - 2017 - Ca isotopic geochemistry of an Antarctic aquatic system","interactions":[],"lastModifiedDate":"2017-11-06T13:21:59","indexId":"70192168","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ca isotopic geochemistry of an Antarctic aquatic system","docAbstract":"<p><span>The McMurdo Dry Valleys, Antarctica, are a polar desert ecosystem. The hydrologic system of the dry valleys is linked to climate with ephemeral streams that flow from glacial melt during the austral summer. Past climate variations have strongly influenced the closed-basin, chemically stratified lakes on the valley floor. Results of previous work point to important roles for both in-stream processes (e.g., mineral weathering, precipitation and dissolution of salts) and in-lake processes (e.g., mixing with paleo-seawater and calcite precipitation) in determining the geochemistry of these lakes. These processes have a significant influence on calcium (Ca) biogeochemistry in this aquatic ecosystem, and thus variations in Ca stable isotope compositions of the waters can aid in validating the importance of these processes. We have analyzed the Ca stable isotope compositions of streams and lakes in the McMurdo Dry Valleys. The results validate the important roles of weathering of aluminosilicate minerals and/or CaCO</span><sub>3</sub><span><span>&nbsp;</span>in the hyporheic zone of the streams, and mixing of lake surface water with paleo-seawater and precipitation of Ca-salts during cryo-concentration events to form the deep lake waters. The lakes in the McMurdo Dry Valleys evolved following different geochemical pathways, evidenced by their unique, nonsystematic Ca isotope signatures.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL071169","usgsCitation":"Lyons, W.B., Bullen, T.D., and Welch, K.A., 2017, Ca isotopic geochemistry of an Antarctic aquatic system: Geophysical Research Letters, v. 44, no. 2, p. 882-891, https://doi.org/10.1002/2016GL071169.","productDescription":"10 p.","startPage":"882","endPage":"891","ipdsId":"IP-082104","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071169","text":"Publisher Index Page"},{"id":348277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, McMurdo Dry Valleys","volume":"44","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-16","publicationStatus":"PW","scienceBaseUri":"5a07e93ee4b09af898c8cc09","contributors":{"authors":[{"text":"Lyons, W. Berry","contributorId":193456,"corporation":false,"usgs":false,"family":"Lyons","given":"W.","email":"","middleInitial":"Berry","affiliations":[],"preferred":false,"id":714524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Kathleen A.","contributorId":197891,"corporation":false,"usgs":false,"family":"Welch","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714525,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196102,"text":"70196102 - 2017 - A global probabilistic tsunami hazard assessment from earthquake sources","interactions":[],"lastModifiedDate":"2018-03-21T11:38:48","indexId":"70196102","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"A global probabilistic tsunami hazard assessment from earthquake sources","docAbstract":"<p><span>Large tsunamis occur infrequently but have the capacity to cause enormous numbers of casualties, damage to the built environment and critical infrastructure, and economic losses. A sound understanding of tsunami hazard is required to underpin management of these risks, and while tsunami hazard assessments are typically conducted at regional or local scales, globally consistent assessments are required to support international disaster risk reduction efforts, and can serve as a reference for local and regional studies. This study presents a global-scale probabilistic tsunami hazard assessment (PTHA), extending previous global-scale assessments based largely on scenario analysis. Only earthquake sources are considered, as they represent about 80% of the recorded damaging tsunami events. Globally extensive estimates of tsunami run-up height are derived at various exceedance rates, and the associated uncertainties are quantified. Epistemic uncertainties in the exceedance rates of large earthquakes often lead to large uncertainties in tsunami run-up. Deviations between modelled tsunami run-up and event observations are quantified, and found to be larger than suggested in previous studies. Accounting for these deviations in PTHA is important, as it leads to a pronounced increase in predicted tsunami run-up for a given exceedance rate.</span></p>","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP456.5","usgsCitation":"Davies, G., Griffin, J., Lovholt, F., Glimsdal, S., Harbitz, C., Thio, H.K., Lorito, S., Basili, R., Selva, J., Geist, E.L., and Baptista, M.A., 2017, A global probabilistic tsunami hazard assessment from earthquake sources: Geological Society, London, Special Publications, v. 456, p. 219-244, https://doi.org/10.1144/SP456.5.","productDescription":"26 p.","startPage":"219","endPage":"244","ipdsId":"IP-071828","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":352688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"456","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-23","publicationStatus":"PW","scienceBaseUri":"5afee8d3e4b0da30c1bfc4b6","contributors":{"authors":[{"text":"Davies, Gareth","contributorId":201783,"corporation":false,"usgs":false,"family":"Davies","given":"Gareth","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":731351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Jonathan","contributorId":201786,"corporation":false,"usgs":false,"family":"Griffin","given":"Jonathan","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":731352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovholt, Finn","contributorId":203385,"corporation":false,"usgs":false,"family":"Lovholt","given":"Finn","email":"","affiliations":[{"id":36607,"text":"NGI","active":true,"usgs":false}],"preferred":false,"id":731353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glimsdal, Sylfest","contributorId":203386,"corporation":false,"usgs":false,"family":"Glimsdal","given":"Sylfest","email":"","affiliations":[{"id":36607,"text":"NGI","active":true,"usgs":false}],"preferred":false,"id":731354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harbitz, Carl","contributorId":203387,"corporation":false,"usgs":false,"family":"Harbitz","given":"Carl","affiliations":[{"id":36607,"text":"NGI","active":true,"usgs":false}],"preferred":false,"id":731355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thio, Hong Kie","contributorId":203388,"corporation":false,"usgs":false,"family":"Thio","given":"Hong","email":"","middleInitial":"Kie","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":731356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorito, Stefano","contributorId":203389,"corporation":false,"usgs":false,"family":"Lorito","given":"Stefano","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":731357,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Basili, Roberto","contributorId":203390,"corporation":false,"usgs":false,"family":"Basili","given":"Roberto","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":731358,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Selva, Jacopo","contributorId":203391,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":731359,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":731350,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baptista, Maria Ana","contributorId":203392,"corporation":false,"usgs":false,"family":"Baptista","given":"Maria","email":"","middleInitial":"Ana","affiliations":[{"id":36608,"text":"IPMA","active":true,"usgs":false}],"preferred":false,"id":731360,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192046,"text":"70192046 - 2017 - The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance","interactions":[],"lastModifiedDate":"2017-10-24T16:27:53","indexId":"70192046","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The invasive ant, <i>Solenopsis invicta</i>, reduces herpetofauna richness and abundance","title":"The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance","docAbstract":"<p><span>Amphibians and reptiles are declining globally. One potential cause of this decline includes impacts resulting from co-occurrence with non-native red imported fire ant,&nbsp;</span><i class=\"EmphasisTypeItalic \">Solenopsis invicta</i><span>. Although a growing body of anecdotal and observational evidence from laboratory experiments supports this hypothesis, there remains a lack of field scale manipulations testing the effect of fire ants on reptile and amphibian communities. We addressed this gap by measuring reptile and amphibian (“herpetofauna”) community response to successful fire ant reductions over the course of 2&nbsp;years following hydramethylnon application to five 100–200&nbsp;ha plots in southeastern coastal South Carolina. By assessing changes in relative abundance and species richness of herpetofauna in response to fire ant reductions, we were able to assess whether some species were particularly vulnerable to fire ant presence, and whether this sensitivity manifested at the community level. We found that herpetofauna abundance and species richness responded positively to fire ant reductions. Our results document that even moderate populations of red imported fire ants decrease both the abundance and diversity of herpetofauna. Given global herpetofauna population declines and continued spread of fire ants, there is urgency to understand the impacts of fire ants beyond anecdotal and singles species studies. Our results provides the first community level investigation addressing these dynamics, by manipulating fire ant abundance to reveal a response in herpetofauna species abundance and richness.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1343-7","usgsCitation":"Allen, C.R., Birge, H.E., Slater, J., and Wiggers, E., 2017, The invasive ant, Solenopsis invicta, reduces herpetofauna richness and abundance: Biological Invasions, v. 19, no. 2, p. 713-722, https://doi.org/10.1007/s10530-016-1343-7.","productDescription":"10 p.","startPage":"713","endPage":"722","ipdsId":"IP-076507","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1da1","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, J.","contributorId":198243,"corporation":false,"usgs":false,"family":"Slater","given":"J.","email":"","affiliations":[],"preferred":false,"id":715461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiggers, E.","contributorId":198244,"corporation":false,"usgs":false,"family":"Wiggers","given":"E.","email":"","affiliations":[],"preferred":false,"id":715462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192732,"text":"70192732 - 2017 - Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region","interactions":[],"lastModifiedDate":"2017-11-08T13:25:23","indexId":"70192732","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region","docAbstract":"<p><span>Realistic projection of future climate-carbon (C) cycle feedbacks requires better understanding and an improved representation of the C cycle in permafrost regions in the current generation of Earth system models. Here we evaluated 10 terrestrial ecosystem models for their estimates of net primary productivity (NPP) and responses to historical climate change in permafrost regions in the Northern Hemisphere. In comparison with the satellite estimate from the Moderate Resolution Imaging Spectroradiometer (MODIS; 246 ± 6 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>), most models produced higher NPP (309 ± 12 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>) over the permafrost region during 2000–2009. By comparing the simulated gross primary productivity (GPP) with a flux tower-based database, we found that although mean GPP among the models was only overestimated by 10% over 1982–2009, there was a twofold discrepancy among models (380 to 800 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span>), which mainly resulted from differences in simulated maximum monthly GPP (GPP</span><sub>max</sub><span>). Most models overestimated C use efficiency (CUE) as compared to observations at both regional and site levels. Further analysis shows that model variability of GPP and CUE are nonlinearly correlated to variability in specific leaf area and the maximum rate of carboxylation by the enzyme Rubisco at 25°C (</span><i>V</i><sub><i>c</i>max_25</sub><span>), respectively. The models also varied in their sensitivities of NPP, GPP, and CUE to historical changes in climate and atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>concentration. These results indicate that model predictive ability of the C cycle in permafrost regions can be improved by better representation of the processes controlling CUE and GPP</span><sub>max</sub><span><span>&nbsp;</span>as well as their sensitivity to climate change.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JG003384","usgsCitation":"Xia, J., McGuire, A.D., Lawrence, D., Burke, E.J., Chen, G., Chen, X., Delire, C., Koven, C., MacDougall, A., Peng, S., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T.J., Ciais, P., Decharme, B., Gouttevin, I., Hajima, T., Hayes, D.J., Huang, K., Ji, D., Krinner, G., Lettenmaier, D.P., Miller, P.A., Moore, J., Smith, B., Sueyoshi, T., Shi, Z., Yan, L., Liang, J., Jiang, L., Zhang, Q., and Luo, Y., 2017, Terrestrial ecosystem model performance in simulating productivity and its vulnerability to climate change in the northern permafrost region: Journal of Geophysical Research: Biogeosciences, v. 122, no. 2, p. 430-446, https://doi.org/10.1002/2016JG003384.","productDescription":"17 p.","startPage":"430","endPage":"446","ipdsId":"IP-070881","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jg003384","text":"Publisher Index Page"},{"id":348457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-22","publicationStatus":"PW","scienceBaseUri":"5a0425bce4b0dc0b45b453b0","contributors":{"authors":[{"text":"Xia, Jianyang","contributorId":167809,"corporation":false,"usgs":false,"family":"Xia","given":"Jianyang","email":"","affiliations":[],"preferred":false,"id":721176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. 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,{"id":70193666,"text":"70193666 - 2017 - Predictors of breeding site occupancy by amphibians in montane landscapes","interactions":[],"lastModifiedDate":"2017-11-13T14:21:40","indexId":"70193666","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Predictors of breeding site occupancy by amphibians in montane landscapes","docAbstract":"<p><span>Ecological relationships and processes vary across species’ geographic distributions, life stages and spatial, and temporal scales. Montane landscapes are characterized by low wetland densities, rugged topographies, and cold climates. Consequently, aquatic-dependent and low-vagility ectothermic species (e.g., pool-breeding amphibians) may exhibit unique ecological associations in montane landscapes. We evaluated the relative importance of breeding- and landscape-scale features associated with spotted salamander (</span><i>Ambystoma maculatum</i><span>) and wood frog (</span><i>Lithobates sylvaticus</i><span>) wetland occupancy in Maine's Upper Montane-Alpine Zone ecoregion, and we determined whether models performed better when the inclusive landscape-scale covariates were estimated with topography-weighted or circular buffers. We surveyed 135 potential breeding sites during May 2013–June 2014 and evaluated environmental relationships with multi-season implicit dynamics occupancy models. Breeding site occupancy by both species was influenced solely by breeding-scale habitat features. Spotted salamander occupancy probabilities increased with previous or current beaver (</span><i>Castor canadensis</i><span>) presence, and models generally were better supported when the inclusive landscape-scale covariates were estimated with topography-weighted rather than circular buffers. Wood frog occupancy probabilities increased with site area and percent shallows, but neither buffer type was better supported than the other. Model rank order and support varied between buffer types, but model inferences did not. Our results suggest pool-breeding amphibian conservation in montane Maine include measures to maintain beaver populations and large wetlands with proportionally large areas of shallows ≤1-m deep. Inconsistencies between our study and previous studies substantiate the value of region-specific research for augmenting species’ conservation management plans and suggest the application of out-of-region inferences may promote ineffective conservation.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21184","usgsCitation":"Groff, L.A., Loftin, C., and Calhoun, A.J., 2017, Predictors of breeding site occupancy by amphibians in montane landscapes: Journal of Wildlife Management, v. 81, no. 2, p. 269-278, https://doi.org/10.1002/jwmg.21184.","productDescription":"10 p.","startPage":"269","endPage":"278","ipdsId":"IP-070490","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Franklin County, Piscataquis 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Maine","active":true,"usgs":false}],"preferred":false,"id":721846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193665,"text":"70193665 - 2017 - Size and age structure of anadromous and landlocked populations of Rainbow Smelt","interactions":[],"lastModifiedDate":"2017-11-13T14:23:38","indexId":"70193665","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Size and age structure of anadromous and landlocked populations of Rainbow Smelt","docAbstract":"<p><span>Rainbow Smelt&nbsp;</span><i>Osmerus mordax</i><span><span>&nbsp;</span>are widely distributed in both anadromous and landlocked populations throughout northeastern North America; abundance, size at age, and maximum size vary widely among populations and life histories. In the present study, size at age, von Bertalanffy growth parameters, population age distributions, and precision and bias in age assessment based on scales and sectioned otoliths were compared between ecotypes and among populations of Rainbow Smelt. To compare the ecotypes, we collected spawning adults from four anadromous and three landlocked populations in Maine during spring 2014. A significant bias was identified in only one of four scale comparisons but in four of seven otolith comparisons; however, a comparable level of precision was indicated. Anadromous populations had larger and more variable size at age and von Bertalanffy growth parameters than landlocked fish. Populations were composed of ages 1–4; six populations were dominated by age-2 or age-3 individuals, and one population was dominated by age-1 fish. These data suggest the presence of considerable plasticity among populations. A latitudinal gradient was observed in the anadromous Rainbow Smelt, which may show signs of population stress at the southern extent of their distribution.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1264508","usgsCitation":"O’Malley, A., Enterline, C., and Zydlewski, J.D., 2017, Size and age structure of anadromous and landlocked populations of Rainbow Smelt: North American Journal of Fisheries Management, v. 37, no. 2, p. 326-336, https://doi.org/10.1080/02755947.2016.1264508.","productDescription":"11 p.","startPage":"326","endPage":"336","ipdsId":"IP-072887","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-27","publicationStatus":"PW","scienceBaseUri":"5a60fc1be4b06e28e9c23a47","contributors":{"authors":[{"text":"O’Malley, Andrew","contributorId":169716,"corporation":false,"usgs":false,"family":"O’Malley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":719838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enterline, Claire","contributorId":199724,"corporation":false,"usgs":false,"family":"Enterline","given":"Claire","email":"","affiliations":[],"preferred":false,"id":719839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":719837,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193659,"text":"70193659 - 2017 - Pectoral fin contact as a mechanism for social bonding among dolphins ","interactions":[],"lastModifiedDate":"2017-11-13T14:28:50","indexId":"70193659","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5550,"text":"Animal Behavior and Cognition","active":true,"publicationSubtype":{"id":10}},"title":"Pectoral fin contact as a mechanism for social bonding among dolphins ","docAbstract":"<p><span>Bottlenose dolphins are large-brained social mammals residing in a fission-fusion society with relationships that are established and maintained over decades. We examined a decade-long data set of inter-individual pectoral fin contact exchanges to better understand how dolphins share information via tactile contact. Sex and age are significant factors in pectoral fin contact within non-kin dolphin dyads. Adult females shared more pectoral fin contacts with other adult females, while younger females showed no pattern of contact. Males shared more pectoral fin contacts with other males as juveniles and as adults, but showed no difference in the number of touches versus rubs as pectoral fin contacts with other males. Whether in the role of initiator as rubber or initiator as rubbee, male dolphins again preferred other males. These results support the notion that dolphins, especially male dolphins, might use pectoral fin contact as one tool in their repertoire for social bonding to establish, maintain and manage their inter-individual relationships. Additionally, it is also likely that the exchange of pectoral fin contact is developed and refined as individuals age, mature socially, and establish their place within a fission-fusion society.</span></p>","language":"English","publisher":"Animal Behavior and Cognition","doi":"10.12966/abc.03.02.2017","usgsCitation":"Dudzinski, K., and Ribic, C., 2017, Pectoral fin contact as a mechanism for social bonding among dolphins : Animal Behavior and Cognition, v. 4, no. 1, p. 30-48, https://doi.org/10.12966/abc.03.02.2017.","productDescription":"19 p.","startPage":"30","endPage":"48","ipdsId":"IP-076066","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12966/abc.03.02.2017","text":"Publisher Index Page"},{"id":348718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"5a60fc1be4b06e28e9c23a4b","contributors":{"authors":[{"text":"Dudzinski, Kathleen","contributorId":199697,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen","affiliations":[],"preferred":false,"id":719790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188343,"text":"70188343 - 2017 - Modeling strong‐motion recordings of the 2010 Mw 8.8 Maule, Chile, earthquake with high stress‐drop subevents and background slip","interactions":[],"lastModifiedDate":"2017-06-06T16:25:26","indexId":"70188343","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling strong‐motion recordings of the 2010 M<sub>w</sub> 8.8 Maule, Chile, earthquake with high stress‐drop subevents and background slip","title":"Modeling strong‐motion recordings of the 2010 Mw 8.8 Maule, Chile, earthquake with high stress‐drop subevents and background slip","docAbstract":"<p><span>Strong‐motion recordings of the </span><i>M</i><sub>w</sub><span>&nbsp;8.8 Maule earthquake were modeled using a compound rupture model consisting of (1)&nbsp;a background slip distribution with large correlation lengths, relatively low slip velocity, and long peak rise time of slip of about 10&nbsp;s and (2)&nbsp;high stress‐drop subevents (asperities) on the deeper portion of the rupture with moment magnitudes 7.9–8.2, high slip velocity, and rise times of slip of about 2&nbsp;s. In this model, the high‐frequency energy is not produced in the same location as the peak coseismic slip, but is generated in the deeper part of the rupture zone. Using synthetic seismograms generated for a plane‐layered velocity model, I find that the high stress‐drop subevents explain the observed Fourier spectral amplitude from about 0.1 to 1.0&nbsp;Hz. Broadband synthetics (0–10&nbsp;Hz) were calculated by combining deterministic synthetics derived from the background slip and asperities (≤1  Hz) with stochastic synthetics generated only at the asperities (≥1  Hz). The broadband synthetics produced response spectral accelerations with low bias compared to the data, for periods of 0.1–10&nbsp;s. A subevent stress drop of 200–350 bars for the high‐frequency stochastic synthetics was found to bracket the observed spectral accelerations at frequencies greater than 1&nbsp;Hz. For most of the stations, the synthetics had durations of the Arias intensity similar to the observed records.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160127","usgsCitation":"Frankel, A.D., 2017, Modeling strong‐motion recordings of the 2010 Mw 8.8 Maule, Chile, earthquake with high stress‐drop subevents and background slip: Bulletin of the Seismological Society of America, v. 107, no. 1, p. 372-386, https://doi.org/10.1785/0120160127.","productDescription":"15 p.","startPage":"372","endPage":"386","ipdsId":"IP-074295","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","city":"Maule","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74,\n              -33\n            ],\n            [\n              -70,\n              -33\n            ],\n            [\n              -70,\n              -39\n            ],\n            [\n              -74,\n              -39\n            ],\n            [\n              -74,\n              -33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c760","contributors":{"authors":[{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697332,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189149,"text":"70189149 - 2017 - Paleoseismic potential of sublacustrine landslide records in a high-seismicity setting (south-central Alaska)","interactions":[],"lastModifiedDate":"2023-11-08T15:51:27.424228","indexId":"70189149","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Paleoseismic potential of sublacustrine landslide records in a high-seismicity setting (south-central Alaska)","docAbstract":"<p><span>Sublacustrine landslide stratigraphy is considered useful for quantitative&nbsp;paleoseismology&nbsp;in low-seismicity settings. However, as the recharging of underwater slopes with sediments is one of the factors that governs the recurrence of slope failures, it is not clear if landslide deposits can provide continuous paleoseismic records in settings of frequent strong shaking. To test this, we selected three lakes in south-central Alaska that experienced a strong historical megathrust earthquake (the 1964 M</span><sub><i>w</i></sub><span>9.2 Great Alaska Earthquake) and exhibit high&nbsp;sedimentation rates&nbsp;in their main basins (0.2</span><span>&nbsp;</span><span>cm</span><span>&nbsp;</span><span>yr</span><sup>−&nbsp;1</sup><span>–1.0</span><span>&nbsp;</span><span>cm</span><span>&nbsp;</span><span>yr</span><sup>−&nbsp;1</sup><span>). We present high-resolution reflection&nbsp;seismic data&nbsp;(3.5</span><span>&nbsp;</span><span>kHz) and&nbsp;radionuclide&nbsp;data from&nbsp;sediment cores&nbsp;in order to investigate factors that control the establishment of a reliable landslide record.&nbsp;Seismic stratigraphy&nbsp;analysis reveals the presence of several landslide deposits in the lacustrine sedimentary infill. Most of these landslide deposits can be attributed to specific landslide events, as multiple landslide deposits sourced from different lacustrine slopes occur on a single stratigraphic horizon. We identify numerous events in the lakes: Eklutna Lake proximal basin (14 events), Eklutna Lake distal basin (8 events), Skilak Lake (7 events) and Kenai Lake (7 events). The most recent event in each basin corresponds to the historic 1964 megathrust earthquake. All events are characterized by multiple landslide deposits, which hints at a regional trigger mechanism, such as an earthquake (the synchronicity criterion). This means that the landslide record in each basin represents a record of past seismic events. Based on extrapolation of sedimentation rates derived from radionuclide dating, we roughly estimate a mean&nbsp;recurrence interval&nbsp;in the Eklutna Lake proximal basin, Eklutna Lake distal basin, Skilak Lake and Kenai Lake, at ~</span><span>&nbsp;</span><span>250</span><span>&nbsp;</span><span>yrs., ~</span><span>&nbsp;</span><span>450</span><span>&nbsp;</span><span>yrs., ~</span><span>&nbsp;</span><span>900</span><span>&nbsp;</span><span>yrs. and ~</span><span>&nbsp;</span><span>450</span><span>&nbsp;</span><span>yrs., respectively. This distinct difference in recording can be explained by variations in preconditioning factors like slope angle, slope recharging (sedimentation rate) and the sediment source area: faster slope recharging and a predominance of delta and&nbsp;alluvial fan&nbsp;failures, increase the sensitivity and lower the intensity threshold for slope instability. Also, the&nbsp;seismotectonic&nbsp;setting of the lakes has to be taken into account. This study demonstrates that sublacustrine landslides in several Alaskan lakes can be used as reliable recorders of strong earthquake shaking, when a multi-lake approach is used, and can enhance the temporal and spatial resolution of the paleoseismic record of south-central Alaska.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.004","usgsCitation":"Praet, N., Moernaut, J., Van Daele, M., Boes, E., Haeussler, P.J., Strupler, M., Schmidt, S., Loso, M.G., and De Batist, M., 2017, Paleoseismic potential of sublacustrine landslide records in a high-seismicity setting (south-central Alaska): Marine Geology, v. 384, p. 103-119, https://doi.org/10.1016/j.margeo.2016.05.004.","productDescription":"17 p.","startPage":"103","endPage":"119","ipdsId":"IP-073802","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":489654,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GK6YZG","text":"USGS data release","linkHelpText":"Gridded Data from Multibeam Bathymetric Surveys of Eklutna, Kenai, and Skilak Lakes, Alaska"},{"id":470106,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.05.004","text":"Publisher Index Page"},{"id":343261,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.5009765625,\n              59.108308258604964\n            ],\n            [\n              -147.48046875,\n              59.108308258604964\n            ],\n            [\n              -147.48046875,\n              61.37567331572747\n            ],\n            [\n              -153.5009765625,\n              61.37567331572747\n            ],\n            [\n              -153.5009765625,\n              59.108308258604964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"384","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536db1","contributors":{"authors":[{"text":"Praet, Nore","contributorId":194083,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","email":"","affiliations":[],"preferred":false,"id":703165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moernaut, Jasper","contributorId":194084,"corporation":false,"usgs":false,"family":"Moernaut","given":"Jasper","email":"","affiliations":[],"preferred":false,"id":703166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Daele, Maarten 0000-0002-8530-4438","orcid":"https://orcid.org/0000-0002-8530-4438","contributorId":194085,"corporation":false,"usgs":false,"family":"Van Daele","given":"Maarten","email":"","affiliations":[{"id":27279,"text":"Department of Geology and Soil Science, Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":703167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boes, Evelien","contributorId":194086,"corporation":false,"usgs":false,"family":"Boes","given":"Evelien","email":"","affiliations":[],"preferred":false,"id":703168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":703164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Strupler, Michael","contributorId":194087,"corporation":false,"usgs":false,"family":"Strupler","given":"Michael","email":"","affiliations":[],"preferred":false,"id":703169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Sabine","contributorId":194088,"corporation":false,"usgs":false,"family":"Schmidt","given":"Sabine","email":"","affiliations":[],"preferred":false,"id":703170,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loso, Michael G.","contributorId":146361,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":703171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":703172,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70186026,"text":"70186026 - 2017 - Changes in aquatic vegetation and floodplain land cover in the Upper Mississippi and Illinois rivers (1989–2000–2010)","interactions":[],"lastModifiedDate":"2017-03-30T12:02:00","indexId":"70186026","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Changes in aquatic vegetation and floodplain land cover in the Upper Mississippi and Illinois rivers (1989–2000–2010)","docAbstract":"<p><span>Quantifying changes in the cover of river-floodplain systems can provide important insights into the processes that structure these landscapes as well as the potential consequences to the ecosystem services they provide. We examined net changes in 13 different aquatic and floodplain land cover classes using photo interpreted maps of the navigable portions of the Upper Mississippi River (UMR, above the confluence with the Ohio River) and Illinois River from 1989 to 2000 and from 2000 to 2010. We detected net decreases in vegetated aquatic area in nearly all river reaches from 1989 to 2000. The only river reaches that experienced a subsequent recovery of vegetated aquatic area from 2000 to 2010 were located in the northern portion of the UMR (above navigation pool 14) and two reaches in the Illinois River. Changes on the floodplain were dominated by urban development, which increased in nearly every river reach studied from 1989 to 2000. Agricultural lands declined in most river reaches from 2000 to 2010. The loss of agricultural land cover in the northern UMR was accompanied by increases in forest cover, whereas in the lower UMR and Illinois River, declines in agriculture were accompanied by increases in forest and shallow marsh communities. The changes in aquatic vegetation occupied between 5 and 20% of the total aquatic area and are likely associated with previously reported regional improvements in water clarity, while smaller (1–15% of the total floodplain area) changes in anthropogenic land cover types on the floodplain are likely driven by broad-scale socio-economic conditions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-5774-0","usgsCitation":"De Jager, N.R., and Rohweder, J.J., 2017, Changes in aquatic vegetation and floodplain land cover in the Upper Mississippi and Illinois rivers (1989–2000–2010): Environmental Monitoring and Assessment, v. 189, p. 1-14, https://doi.org/10.1007/s10661-017-5774-0.","productDescription":"Article 77; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-078207","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.31787109374999,\n              36.914764288955936\n            ],\n            [\n              -87.47314453125,\n              36.914764288955936\n            ],\n            [\n              -87.47314453125,\n              44.94924926661153\n            ],\n            [\n              -93.31787109374999,\n              44.94924926661153\n            ],\n            [\n              -93.31787109374999,\n              36.914764288955936\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"189","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-24","publicationStatus":"PW","scienceBaseUri":"58de194ee4b02ff32c699c9d","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":687383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187165,"text":"70187165 - 2017 - Tracer-based characterization of hyporheic exchange and benthic biolayers in streams","interactions":[],"lastModifiedDate":"2017-04-25T15:20:57","indexId":"70187165","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Tracer-based characterization of hyporheic exchange and benthic biolayers in streams","docAbstract":"<p><span>Shallow benthic biolayers at the top of the streambed are believed to be places of enhanced biogeochemical turnover within the hyporheic zone. They can be investigated by reactive stream tracer tests with tracer recordings in the streambed and in the stream channel. Common in-stream measurements of such reactive tracers cannot localize where the processing primarily takes place, whereas isolated vertical depth profiles of solutes within the hyporheic zone are usually not representative of the entire stream. We present results of a tracer test where we injected the conservative tracer bromide together with the reactive tracer resazurin into a third-order stream and combined the recording of in-stream breakthrough curves with multidepth sampling of the hyporheic zone at several locations. The transformation of resazurin was used as an indicator of metabolism, and high-reactivity zones were identified from depth profiles. The results from our subsurface analysis indicate that the potential for tracer transformation (i.e., the reaction rate constant) varied with depth in the hyporheic zone. This highlights the importance of the benthic biolayer, which we found to be on average 2 cm thick in this study, ranging from one third to one half of the full depth of the hyporheic zone. The reach-scale approach integrated the effects of processes along the reach length, isolating hyporheic processes relevant for whole-stream chemistry and estimating effective reaction rates.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR019393","usgsCitation":"Knapp, J., Gonzalez-Pinzon, R., Drummond, J.D., Larsen, L., Cirpka, O.A., and Harvey, J.W., 2017, Tracer-based characterization of hyporheic exchange and benthic biolayers in streams: Water Resources Research, v. 53, no. 2, p. 1575-1594, https://doi.org/10.1002/2016WR019393.","productDescription":"20 p.","startPage":"1575","endPage":"1594","ipdsId":"IP-080169","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019393","text":"Publisher Index Page"},{"id":340374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-21","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddd1","contributors":{"authors":[{"text":"Knapp, Julia L.A.","contributorId":191389,"corporation":false,"usgs":false,"family":"Knapp","given":"Julia L.A.","affiliations":[],"preferred":false,"id":692887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez-Pinzon, Ricardo","contributorId":191362,"corporation":false,"usgs":false,"family":"Gonzalez-Pinzon","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":692888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Jennifer D.","contributorId":191390,"corporation":false,"usgs":false,"family":"Drummond","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Laurel G.","contributorId":191391,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":692890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cirpka, Olaf A.","contributorId":191392,"corporation":false,"usgs":false,"family":"Cirpka","given":"Olaf","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692886,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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