{"pageNumber":"824","pageRowStart":"20575","pageSize":"25","recordCount":165496,"records":[{"id":70198775,"text":"70198775 - 2018 - Variation in home range size and patterns in adult female American crocodiles Crocodylus acutus","interactions":[],"lastModifiedDate":"2021-04-06T15:19:07.060998","indexId":"70198775","displayToPublicDate":"2018-06-15T09:32:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in home range size and patterns in adult female American crocodiles Crocodylus acutus","title":"Variation in home range size and patterns in adult female American crocodiles Crocodylus acutus","docAbstract":"

The American crocodile Crocodylus acutus is a threatened species that uses relatively deep, open-water habitats with low salinity. Adult female American crocodiles nest on sandy coastal beaches, islands or human-made berms, assist in the hatching process, and can travel long distances to nesting habitat. We satellite-tracked 15 adult female American crocodiles in 2 hydrologically distinct areas in Everglades National Park, Florida, USA, to quantify the home range sizes, test for intraspecific differences in home range and core area size and structure, and identify important crocodile high-use areas. Overall home ranges (95% kernel density estimate; KDE) for adult female crocodiles in South Florida ranged from 30.0 to 141.9 km2 (mean ± SD, 84.4 ± 32.3 km2), and core areas (50% KDE) ranged from 4.7 to 27.4 km2(17.8 ± 7.3 km2). We identified patterns in home range and core area overlap, seasonally shifting patterns in core area use, and the Fox Lake complex as an important crocodile high-use area. As the population of American crocodiles continues to grow and expand into new areas, it is important for conservation managers to understand individual crocodile habitat-use patterns and spatial resource requirements.

","language":"English","publisher":"Inter-research","doi":"10.3354/esr00900","usgsCitation":"Hart, K.M., Beauchamp, J.S., Cherkiss, M.S., and Mazzotti, F., 2018, Variation in home range size and patterns in adult female American crocodiles Crocodylus acutus: Endangered Species Research, v. 36, p. 161-171, https://doi.org/10.3354/esr00900.","productDescription":"11 p.","startPage":"161","endPage":"171","ipdsId":"IP-093882 ","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00900","text":"Publisher Index Page"},{"id":356576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.83990478515625,\n 25.122905883812052\n ],\n [\n -80.2606201171875,\n 25.122905883812052\n ],\n [\n -80.2606201171875,\n 26.33280692289788\n ],\n [\n -81.83990478515625,\n 26.33280692289788\n ],\n [\n -81.83990478515625,\n 25.122905883812052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2afe4b0702d0e842fb1","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":742932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, Frank","contributorId":138878,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":742934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197650,"text":"70197650 - 2018 - Integrating animal movement with habitat suitability for estimating dynamic migratory connectivity","interactions":[],"lastModifiedDate":"2021-08-11T18:52:48.609974","indexId":"70197650","displayToPublicDate":"2018-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating animal movement with habitat suitability for estimating dynamic migratory connectivity","docAbstract":"

Context

High-resolution animal movement data are becoming increasingly available, yet having a multitude of empirical trajectories alone does not allow us to easily predict animal movement. To answer ecological and evolutionary questions at a population level, quantitative estimates of a species’ potential to link patches or populations are of importance.

Objectives

We introduce an approach that combines movement-informed simulated trajectories with an environment-informed estimate of the trajectories’ plausibility to derive connectivity. Using the example of bar-headed geese we estimated migratory connectivity at a landscape level throughout the annual cycle in their native range.

Methods

We used tracking data of bar-headed geese to develop a multi-state movement model and to estimate temporally explicit habitat suitability within the species’ range. We simulated migratory movements between range fragments, and calculated a measure we called route viability. The results are compared to expectations derived from published literature.

Results

Simulated migrations matched empirical trajectories in key characteristics such as stopover duration. The viability of the simulated trajectories was similar to that of the empirical trajectories. We found that, overall, the migratory connectivity was higher within the breeding than in wintering areas, corroborating previous findings for this species.

Conclusions

We show how empirical tracking data and environmental information can be fused for meaningful predictions of animal movements throughout the year and even outside the spatial range of the available data. Beyond predicting migratory connectivity, our framework will prove useful for modelling ecological processes facilitated by animal movement, such as seed dispersal or disease ecology.

","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0637-9","usgsCitation":"van Toor, M.L., Kranstauber, B., Newman, S.H., Prosser, D.J., Takekawa, J., Technitis, G., Weibel, R., Wikelski, M., and Safi, K., 2018, Integrating animal movement with habitat suitability for estimating dynamic migratory connectivity: Landscape Ecology, v. 33, no. 6, p. 879-893, https://doi.org/10.1007/s10980-018-0637-9.","productDescription":"15 p.","startPage":"879","endPage":"893","ipdsId":"IP-084732","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-018-0637-9","text":"Publisher Index Page"},{"id":355084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-26","publicationStatus":"PW","scienceBaseUri":"5b46e566e4b060350a15d117","contributors":{"authors":[{"text":"van Toor, Marielle L.","contributorId":205670,"corporation":false,"usgs":false,"family":"van Toor","given":"Marielle","email":"","middleInitial":"L.","affiliations":[{"id":37137,"text":"Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":738069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranstauber, Bart","contributorId":205671,"corporation":false,"usgs":false,"family":"Kranstauber","given":"Bart","email":"","affiliations":[{"id":37138,"text":"Department of Evolutionary Biology and Environmental Studies, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":738070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, Scott H.","contributorId":199129,"corporation":false,"usgs":false,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":738071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":738068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":738072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Technitis, Georgios","contributorId":205672,"corporation":false,"usgs":false,"family":"Technitis","given":"Georgios","email":"","affiliations":[{"id":37139,"text":"Department of Geography, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":738073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weibel, Robert","contributorId":205673,"corporation":false,"usgs":false,"family":"Weibel","given":"Robert","email":"","affiliations":[{"id":37139,"text":"Department of Geography, University of Zurich","active":true,"usgs":false}],"preferred":false,"id":738074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wikelski, Martin","contributorId":205674,"corporation":false,"usgs":false,"family":"Wikelski","given":"Martin","email":"","affiliations":[{"id":37137,"text":"Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":738075,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Safi, Kamran","contributorId":205675,"corporation":false,"usgs":false,"family":"Safi","given":"Kamran","email":"","affiliations":[{"id":37137,"text":"Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":738076,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197656,"text":"70197656 - 2018 - Quantifying anthropogenic contributions to century-scale groundwater salinity changes, San Joaquin Valley, California, USA","interactions":[],"lastModifiedDate":"2018-06-18T11:04:24","indexId":"70197656","displayToPublicDate":"2018-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying anthropogenic contributions to century-scale groundwater salinity changes, San Joaquin Valley, California, USA","docAbstract":"Total dissolved solids (TDS) concentrations in groundwater tapped for beneficial uses (drinking water, irrigation, freshwater industrial) have increased on average by about 100 mg/L over the last 100 years in the San Joaquin Valley, California (SJV). During this period land use in the SJV changed from natural vegetation and dryland agriculture to dominantly irrigated agriculture with growing urban areas. Century-scale salinity trends were evaluated by comparing TDS concentrations and major ion compositions of groundwater from wells sampled in 1910 (Historic) to data from wells sampled in 1993-2015 (Modern). TDS concentrations in subregions of the SJV, the southern (SSJV), western (WSJV), northeastern (NESJV), and southeastern (SESJV) were calculated using a cell-declustering method. TDS concentrations increased in all regions, with the greatest increases found in the SSJV and SESJV. Evaluation of the Modern data from the NESJV and SESJV found higher TDS concentrations in recently recharged (post-1950) groundwater from shallow (< 50 m) wells surrounded predominantly by agricultural land uses, while premodern (pre-1950) groundwater from deeper wells, and recently recharged groundwater from wells surrounded by mainly urban, natural, and mixed land uses had lower TDS concentrations, approaching the TDS concentrations in the Historic groundwater. For the NESJV and SESJV, inverse geochemical modeling with PHREEQC indicated that weathering of primary silicate minerals accounted for the majority of the increase in TDS concentrations, contributing more than nitrate from fertilizers and sulfate from soil amendments combined. Bicarbonate showed the greatest increase among major ions, resulting from enhanced silicate weathering due to recharge of irrigation water enriched in CO2 during the growing season. The results of this study demonstrate that large anthropogenic changes to the hydrologic regime, like massive development of irrigated agriculture in semi-arid areas like the SJV, can cause large changes in groundwater quality on a regional scale.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.333","usgsCitation":"Hansen, J.A., Jurgens, B., and Fram, M.S., 2018, Quantifying anthropogenic contributions to century-scale groundwater salinity changes, San Joaquin Valley, California, USA: Science of the Total Environment, v. 642, p. 125-136, https://doi.org/10.1016/j.scitotenv.2018.05.333.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-083514","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":460889,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.05.333","text":"Publisher Index Page"},{"id":437861,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7319T3K","text":"USGS data release","linkHelpText":"Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015"},{"id":355083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley, San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.71728515624999,\n 40.195659093364654\n ],\n [\n -122.51953124999999,\n 39.791654835253425\n ],\n [\n -122.3876953125,\n 39.487084981687495\n ],\n [\n -122.2119140625,\n 39.198205348894795\n ],\n [\n -122.08007812499999,\n 38.92522904714054\n ],\n [\n -121.92626953124999,\n 38.496593518947584\n ],\n [\n 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0000-0002-2185-1686","orcid":"https://orcid.org/0000-0002-2185-1686","contributorId":205441,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198069,"text":"70198069 - 2018 - DDT and related compounds in pore water of shallow sediments on the Palos Verdes Shelf, California, USA","interactions":[],"lastModifiedDate":"2018-07-16T11:06:02","indexId":"70198069","displayToPublicDate":"2018-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"DDT and related compounds in pore water of shallow sediments on the Palos Verdes Shelf, California, USA","docAbstract":"

For nearly two and a half decades following World War II, production wastes from the world's largest manufacturer of technical DDT (1-chloro-4-[2,2,2-trichloro-1-(4-chlorophenyl)ethyl]benzene) were discharged into sewers of Los Angeles County. Following treatment, the wastes were released via a submarine outfall system to nearshore coastal waters where a portion accumulated in shallow sediments of the Palos Verdes Shelf (PVS). An investigation of the pore-water geochemistry of DDT-related compounds (DDX) was undertaken in an effort to understand factors controlling the rate of reductive dechlorination (RDC) of the major DDT degradate, 4,4′-DDE (1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene). Equilibrium matrix-solid phase microextraction (matrix-SPMEeq) combined with automated thermal desorption-gas chromatography/mass spectrometry (TDGC/MS) was used to determine freely dissolved concentrations of ten DDX analytes in sediment cores collected from three locations on the PVS (stations 3C, 6C, 8C, which are 7 km, 2 km, and 0 km, respectively, downcurrent from the outfall system). Pore-water concentrations (pM) of the principal DDX compounds involved in RDC were: 3C-DDE: 6.0–24, DDMU (1-chloro-4-[2-chloro-1-(4-chlorophenyl)ethenyl]benzene): 11–160, DDNU (1-chloro-4-[1-(4-chlorophenyl)ethenyl]benzene): 1.8–68; 6C-DDE: 5.6–170, DDMU: 5.6–177, DDNU: 1.7–87; 8CDDE: 27–212, DDMU: 31–403, DDNU: 5.5–89. Variations in the spatial distribution of DDX analytes in pore water reflect several factors including proximity to the outfalls, RDC reaction rates, and natural variability in sedimentation and post-depositional transport processes. A comparison of pore-water data produced using matrix-SPMEeq/TD-GC/MS and whole-core squeezing/solvent extraction/liquid injection-GC/MS indicates that the majority of the DDE in the upper sediment column (≤about 10 cm) is associated with dissolved/colloidal organic matter. Below that depth, freely-dissolved DDE predominates. The principal organic geochemical phase controlling sorption of DDE in PVS sediments are residual hydrocarbons, the vast majority of which originated from petroleum refinery wastes. Organic carbon-normalized sediment-water distribution coefficients (KOC) were calculated from solid-phase and pore-water concentrations of DDX and organic carbon. Log KOC values (L/kg) were relatively invariant across the shelf and with depth in the sediment column. Shelf-wide compound-specific coefficients (log KOC) were: DDE: 7.5 ± 0.11, DDMU: 6.92 ± 0.13, DDNU: 6.37 ± 0.19. The spatial uniformity of KOC means that biological exposure and availability of the DDX compounds can, in principle, be estimated from solid-phase chemical measurements.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2018.05.003","usgsCitation":"Eganhouse, R.P., DiFilippo, E.L., Pontolillo, J., Orem, W.H., Hackley, P.C., and Edwards, B., 2018, DDT and related compounds in pore water of shallow sediments on the Palos Verdes Shelf, California, USA: Marine Chemistry, v. 203, p. 78-90, https://doi.org/10.1016/j.marchem.2018.05.003.","productDescription":"13 p.","startPage":"78","endPage":"90","ipdsId":"IP-088771","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2018.05.003","text":"Publisher Index Page"},{"id":355658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Palos Verdes Shelf","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.35111111111111,33.66777777777777 ], [ -118.35111111111111,33.7175 ], [ -118.28444444444445,33.7175 ], [ -118.28444444444445,33.66777777777777 ], [ -118.35111111111111,33.66777777777777 ] ] ] } } ] }","volume":"203","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc430e4b0f5d57878ea13","contributors":{"authors":[{"text":"Eganhouse, Robert P. 0000-0002-2075-5908 eganhous@usgs.gov","orcid":"https://orcid.org/0000-0002-2075-5908","contributorId":206243,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert","email":"eganhous@usgs.gov","middleInitial":"P.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":739877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiFilippo, Erica L.","contributorId":90449,"corporation":false,"usgs":true,"family":"DiFilippo","given":"Erica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":739878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pontolillo, James 0000-0002-1075-1313 jpontoli@usgs.gov","orcid":"https://orcid.org/0000-0002-1075-1313","contributorId":206244,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":739879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":739881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Brian 0000-0002-4655-8208 bedwards@usgs.gov","orcid":"https://orcid.org/0000-0002-4655-8208","contributorId":206245,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739882,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198024,"text":"70198024 - 2018 - Insular biogeographic origins and high phylogenetic distinctiveness for a recently depleted lizard fauna from Christmas Island, Australia","interactions":[],"lastModifiedDate":"2018-07-16T11:08:03","indexId":"70198024","displayToPublicDate":"2018-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Insular biogeographic origins and high phylogenetic distinctiveness for a recently depleted lizard fauna from Christmas Island, Australia","docAbstract":"

Striking faunal turnover across Asia and Australasia, most famously along the eastern edge of the Sunda Shelf or ‘Wallace's Line’, has been a focus of biogeographic research for over 150 years. Here, we investigate the origins of a highly threatened endemic lizard fauna (four species) on Christmas Island. Despite occurring less 350 km south of the Sunda Shelf, this fauna mostly comprises species from clades centred on the more distant regions of Wallacea, the Pacific and Australia (more than 1000 km east). The three most divergent lineages show Miocene (approx. 23–5 Ma) divergences from sampled relatives; and have recently become extinct or extinct in the wild, likely owing to the recent introduction of a southeast Asian snake (Lycodon capucinus). Insular distributions, deep phylogenetic divergence and recent decline suggest that rather than dispersal ability or recent origins, environmental and biotic barriers have impeded these lineages from diversifying on the continental Sunda Shelf, and thereby, reinforced faunal differentiation across Wallace's Line. Our new phylogenetically informed perspective further highlights the rapid loss of ancient lineages that has occurred on Christmas Island, and underlines how the evolutionary divergence and vulnerability of many island-associated lineages may continue to be underestimated.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2017.0696","usgsCitation":"Oliver, P.M., Blom, M., Cogger, H.G., Fisher, R.N., Richmond, J.Q., and Woinarski, J.C., 2018, Insular biogeographic origins and high phylogenetic distinctiveness for a recently depleted lizard fauna from Christmas Island, Australia: Biology Letters, v. 14, no. 6, p. 1-5, https://doi.org/10.1098/rsbl.2017.0696.","productDescription":"Article 20170696; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-093671","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2017.0696","text":"Publisher Index Page"},{"id":355548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Christmas Island","volume":"14","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e566e4b060350a15d113","contributors":{"authors":[{"text":"Oliver, Paul M.","contributorId":178111,"corporation":false,"usgs":false,"family":"Oliver","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":739683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blom, Mozes P. K.","contributorId":206162,"corporation":false,"usgs":false,"family":"Blom","given":"Mozes P. K.","affiliations":[{"id":37265,"text":"Naturhistoriska Riksmuseet, Sweden","active":true,"usgs":false}],"preferred":false,"id":739684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cogger, Harold G.","contributorId":206163,"corporation":false,"usgs":false,"family":"Cogger","given":"Harold","email":"","middleInitial":"G.","affiliations":[{"id":37266,"text":"The Australian Museum","active":true,"usgs":false}],"preferred":false,"id":739685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":739686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woinarski, John C. Z.","contributorId":206164,"corporation":false,"usgs":false,"family":"Woinarski","given":"John","email":"","middleInitial":"C. Z.","affiliations":[{"id":37267,"text":"Charles Darwin University, Australia","active":true,"usgs":false}],"preferred":false,"id":739687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198068,"text":"70198068 - 2018 - Reductive dechlorination rates of 4,4′-DDE (1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene) in sediments of the Palos Verdes Shelf, CA","interactions":[],"lastModifiedDate":"2018-07-13T12:35:26","indexId":"70198068","displayToPublicDate":"2018-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reductive dechlorination rates of 4,4′-DDE (1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene) in sediments of the Palos Verdes Shelf, CA","docAbstract":"

Wastes from the world's largest manufacturer of DDT (1-chloro-4-[2,2,2-trichloro-1-(4-chlorophenyl)ethyl]benzene) were released into the Los Angeles County municipal sewer system from 1947 to 1971. Following primary treatment, the effluent was discharged through a submarine outfall system whereupon a portion of the DDT and associated degradation products were deposited in sediments of the Palos Verdes Shelf (PVS). Parent DDT is present only in trace amounts in the sediments today, the vast majority having been transformed to DDE (1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene) shortly following deposition. Previously believed to be inert, DDE is slowly being converted to DDMU (1-chloro-4-[2-chloro-1-(4-chlorophenyl)ethenyl]benzene) and DDMU to DDNU (1-chloro-4-[1-(4-chlorophenyl)ethenyl]benzene) via microbially-mediated reductive dechlorination (RDC). Kinetic and compositional data suggest that this process began sometime in the mid- to late 1970s. Rates of DDE RDC in shelf sediments are spatially variable and have proven difficult to determine accurately. This limits our ability to understand the factors controlling RDC rates and to predict the course of natural recovery. In the present study, concentrations of ten DDT compounds and twelve PCB (polychlorinated biphenyl) congeners were determined in cores collected at two locations on the PVS (stations 3C, 6C, ~7km and ~2km downcurrent from the outfalls, respectively). DDE inventories, normalized to those of non-degrading PCB congeners having similar physico-chemical properties, were modeled to yield first-order RDC rates for the period 1981–2010. Average rates at stations 3C and 6C were 0.044±0.004 and 0.008±0.002yr−1, respectively, with depth-dependent RDC rates at station 3C (1992–2003) ranging from 0.0025 to 0.102yr−1. Comparison of RDC and total loss (i.e., RDC+physical loss) rates suggests that the average per cent loss of DDE due to RDC is ~90% at station 3C (1981–2010) and ~57% at station 6C (1992–2010). Trajectories of adjusted molar inventories of DDE, DDMU, and DDNU were forecast using a first-order multi-step reaction series (M-SRS) model. The results for DDE are consistent with the normalization procedure; RDC rates at stations 3C and 6C were 0.036±0.002yr−1 and 0.010±0.001yr−1, respectively. At station 6C, the DDE to DDMU transformation appears to be the rate limiting step in the reaction sequence, DDE k1→ DDMU k2→ DDNU k3→ unidentified compound(s), whereas at station 3C RDC rates for DDE and DDMU are roughly equivalent. At both locations the transformation rate of DDNU is 7–20 times that of the other steps. Estimated half-lives of DDE at stations 3C and 6C based on the M-SRS model results are ~19 and 72 years, respectively.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2017.12.005","usgsCitation":"Eganhouse, R.P., Sherwood, C.R., Pontolillo, J., Edwards, B., and Dickhudt, P., 2018, Reductive dechlorination rates of 4,4′-DDE (1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene) in sediments of the Palos Verdes Shelf, CA: Marine Chemistry, v. 203, p. 10-21, https://doi.org/10.1016/j.marchem.2017.12.005.","productDescription":"12 p.","startPage":"10","endPage":"21","ipdsId":"IP-088923","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2017.12.005","text":"Publisher Index Page"},{"id":355656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Palos Verde Shelf","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.35111111111111,33.66777777777777 ], [ -118.35111111111111,33.7175 ], [ -118.28444444444445,33.7175 ], [ -118.28444444444445,33.66777777777777 ], [ -118.35111111111111,33.66777777777777 ] ] ] } } ] }","volume":"203","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc431e4b0f5d57878ea15","contributors":{"authors":[{"text":"Eganhouse, Robert P. 0000-0002-2075-5908 eganhous@usgs.gov","orcid":"https://orcid.org/0000-0002-2075-5908","contributorId":206243,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert","email":"eganhous@usgs.gov","middleInitial":"P.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":739872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pontolillo, James 0000-0002-1075-1313 jpontoli@usgs.gov","orcid":"https://orcid.org/0000-0002-1075-1313","contributorId":206244,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":739874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Brian 0000-0002-4655-8208 bedwards@usgs.gov","orcid":"https://orcid.org/0000-0002-4655-8208","contributorId":206245,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickhudt, Patrick J. ","contributorId":169593,"corporation":false,"usgs":false,"family":"Dickhudt","given":"Patrick J. ","affiliations":[{"id":25562,"text":"(former) Woods Hole Coastal and Marine Science Center employee","active":true,"usgs":false}],"preferred":false,"id":739876,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200470,"text":"70200470 - 2018 - Harnessing big data to rethink land heterogeneity in Earth system models","interactions":[],"lastModifiedDate":"2018-10-18T14:26:46","indexId":"70200470","displayToPublicDate":"2018-06-14T14:26:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harnessing big data to rethink land heterogeneity in Earth system models","docAbstract":"

The continual growth in the availability, detail, and wealth of environmental data provides an invaluable asset to improve the characterization of land heterogeneity in Earth system models – a persistent challenge in macroscale models. However, due to the nature of these data (volume and complexity) and computational constraints, these data are underused for global applications. As a proof of concept, this study explores how to effectively and efficiently harness these data in Earth system models over a 1/4° ( ∼ 25km) grid cell in the western foothills of the Sierra Nevada in central California. First, a novel hierarchical multivariate clustering approach (HMC) is introduced that summarizes the high-dimensional environmental data space into hydrologically interconnected representative clusters (i.e., tiles). These tiles and their associated properties are then used to parameterize the sub-grid heterogeneity of the Geophysical Fluid Dynamics Laboratory (GFDL) LM4-HB land model. To assess how this clustering approach impacts the simulated water, energy, and carbon cycles, model experiments are run using a series of different tile configurations assembled using HMC. The results over the test domain show that (1) the observed similarity over the landscape makes it possible to converge on the macroscale response of the fully distributed model with around 300 sub-grid land model tiles; (2) assembling the sub-grid tile configuration from available environmental data can have a large impact on the macroscale states and fluxes of the water, energy, and carbon cycles; for example, the defined subsurface connections between the tiles lead to a dampening of macroscale extremes; (3) connecting the fine-scale grid to the model tiles via HMC enables circumvention of the classic scale discrepancies between the macroscale and field-scale estimates; this has potentially significant implications for the evaluation and application of Earth system models.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-22-3311-2018","usgsCitation":"Chaney, N.W., Van Huijgevoort, M.H., Shevliakova, E., Malyshev, S., Milly, P.C., Gauthier, P., and Sulman, B.N., 2018, Harnessing big data to rethink land heterogeneity in Earth system models: Hydrology and Earth System Sciences, v. 22, p. 3311-3330, https://doi.org/10.5194/hess-22-3311-2018.","productDescription":"20 p.","startPage":"3311","endPage":"3330","ipdsId":"IP-090830","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-22-3311-2018","text":"Publisher Index Page"},{"id":358546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-14","publicationStatus":"PW","scienceBaseUri":"5c10a99ae4b034bf6a7e535d","contributors":{"authors":[{"text":"Chaney, Nathaniel W.","contributorId":169242,"corporation":false,"usgs":false,"family":"Chaney","given":"Nathaniel","email":"","middleInitial":"W.","affiliations":[{"id":25453,"text":"Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":749025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Huijgevoort, Marjolein H. J.","contributorId":209888,"corporation":false,"usgs":false,"family":"Van Huijgevoort","given":"Marjolein","email":"","middleInitial":"H. J.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":749026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, Elena","contributorId":201589,"corporation":false,"usgs":false,"family":"Shevliakova","given":"Elena","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":749027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":201588,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":749028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":749024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gauthier, Paul P. G.","contributorId":209889,"corporation":false,"usgs":false,"family":"Gauthier","given":"Paul P. G.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":749029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sulman, Benjamin N. 0000-0002-3265-6691","orcid":"https://orcid.org/0000-0002-3265-6691","contributorId":209890,"corporation":false,"usgs":false,"family":"Sulman","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":749030,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216335,"text":"70216335 - 2018 - Thresholds and hotspots for shrub restoration following a heterogeneous megafire","interactions":[],"lastModifiedDate":"2020-11-12T15:00:59.555625","indexId":"70216335","displayToPublicDate":"2018-06-14T08:54:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds and hotspots for shrub restoration following a heterogeneous megafire","docAbstract":"

Context

Reestablishing foundational plant species through aerial seeding is an essential yet challenging step for restoring the vast semiarid landscapes impacted by plant invasions and wildfire-regime shifts. A key component of the challenge stems from landscape variability and its effects on plant recovery.

Objectives

We assessed landscape correlates, thresholds, and tipping points for sagebrush presence from fine-scale sampling across a large, heterogeneous area burned the previous year, where we were able to quantify soil surface features that are typically occluded yet can strongly affect recovery patterns.

Methods

Hypothesis testing and binary-decision trees were used to evaluate factors affecting initial sagebrush establishment, using 2171 field plots (totaling ~ 2,000,000 m2 sampled) over a 113,000-ha region.

Results

Sagebrush established in 50% of plots where it was seeded, a > 12-fold greater establishment frequency than in unseeded areas. Sagebrush establishment was enhanced in threshold-like ways by elevation (> 1200 m ASL), topographic features that alter heatload and soil water, and by soil-surface features such as “fertile islands” that bore the imprint of pre-fire sagebrush. Sagebrush occupancy had a negative, linear relationship with exotic-annual grass cover and parabolic relationship with perennial bunchgrasses (optimal at 40% cover).

Conclusions

Our approach revealed interactive, ecological relationships such as novel soil-surface effects on first year establishment of sagebrush across the burned landscape, and identified “hot spots” for recovery. The approach could be expanded across sites and years to provide the information needed to explain past seeding successes or failures, and in designing treatments at the landscape scale.

","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0662-8","usgsCitation":"Germino, M., Barnard, D., Davidson, B., Arkle, R., Pilliod, D., Fisk, M., and Applestein, C., 2018, Thresholds and hotspots for shrub restoration following a heterogeneous megafire: Landscape Ecology, v. 33, p. 1177-1194, https://doi.org/10.1007/s10980-018-0662-8.","productDescription":"18 p.","startPage":"1177","endPage":"1194","ipdsId":"IP-090670","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":380454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.04833984375001,\n 43.197167282501276\n ],\n [\n -116.1474609375,\n 43.197167282501276\n ],\n [\n -116.1474609375,\n 44.008620115415354\n ],\n [\n -117.04833984375001,\n 44.008620115415354\n ],\n [\n -117.04833984375001,\n 43.197167282501276\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2018-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, David 0000-0003-1877-3151","orcid":"https://orcid.org/0000-0003-1877-3151","contributorId":218008,"corporation":false,"usgs":true,"family":"Barnard","given":"David","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Bill 0000-0003-1315-479X","orcid":"https://orcid.org/0000-0003-1315-479X","contributorId":218011,"corporation":false,"usgs":true,"family":"Davidson","given":"Bill","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisk, Matthew 0000-0002-2250-0116","orcid":"https://orcid.org/0000-0002-2250-0116","contributorId":205749,"corporation":false,"usgs":true,"family":"Fisk","given":"Matthew","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":804739,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217156,"text":"70217156 - 2018 - Exposure to human-associated chemical markers of fecal contamination and self-reported illness among swimmers at recreational beaches","interactions":[],"lastModifiedDate":"2021-01-07T13:39:52.424305","indexId":"70217156","displayToPublicDate":"2018-06-14T07:34:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Exposure to human-associated chemical markers of fecal contamination and self-reported illness among swimmers at recreational beaches","docAbstract":"

Anthropogenic chemicals have been proposed as potential markers of human fecal contamination in recreational water. However, to date, there are no published studies describing their relationships with illness risks. Using a cohort of swimmers at seven U.S. beaches, we examined potential associations between the presence of chemical markers of human fecal pollution and self-reported gastrointestinal (GI) illness, diarrhea, and respiratory illness. Swimmers were surveyed about their beach activities, water exposure, and baseline symptoms on the day of their beach visit, and about any illness experienced 10–12 days later. Risk differences were estimated using model-based standardization and adjusted for the swimmer’s age, beach site, sand contact, rainfall, and water temperature. Sixty-two chemical markers were analyzed from daily water samples at freshwater and marine beaches. Of those, 20 were found consistently. With the possible exception of bisphenol A and cholesterol, no chemicals were consistently associated with increased risks of illness. These two chemicals were suggestively associated with 2% and 1% increased risks of GI illness and diarrhea in both freshwater and marine beaches. Additional research using the more sensitive analytic methods currently available for a wider suite of analytes is needed to support the use of chemical biomarkers to quantify illness risk and identify fecal pollution sources.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b00639","usgsCitation":"Napier, M.D., Poole, C., Stewart, J.R., Weber, D.J., Glassmeyer, S.T., Kolpin, D.W., Furlong, E., Dufour, A.P., and Wade, T.J., 2018, Exposure to human-associated chemical markers of fecal contamination and self-reported illness among swimmers at recreational beaches: Environmental Science & Technology, v. 52, no. 13, p. 7513-7523, https://doi.org/10.1021/acs.est.8b00639.","productDescription":"11 p.","startPage":"7513","endPage":"7523","ipdsId":"IP-097335","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468659,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc6192706","text":"External Repository"},{"id":381997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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D","contributorId":247489,"corporation":false,"usgs":false,"family":"Napier","given":"Melanie","email":"","middleInitial":"D","affiliations":[{"id":49553,"text":"U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, NC","active":true,"usgs":false}],"preferred":false,"id":807745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Charles","contributorId":247490,"corporation":false,"usgs":false,"family":"Poole","given":"Charles","email":"","affiliations":[{"id":49554,"text":"Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, NC","active":true,"usgs":false}],"preferred":false,"id":807746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jill R","contributorId":247491,"corporation":false,"usgs":false,"family":"Stewart","given":"Jill","email":"","middleInitial":"R","affiliations":[{"id":49555,"text":"Department of Environmental Sciences and Engineering, University of North Carolina-Chapel Hill, Chapel Hill, NC","active":true,"usgs":false}],"preferred":false,"id":807747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weber, David J","contributorId":247492,"corporation":false,"usgs":false,"family":"Weber","given":"David","email":"","middleInitial":"J","affiliations":[{"id":49556,"text":"Division of Infectious Diseases, School of Medicine, University of North Carolina Health Care, Chapel Hill, NC","active":true,"usgs":false}],"preferred":false,"id":807748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassmeyer, Susan T.","contributorId":184135,"corporation":false,"usgs":false,"family":"Glassmeyer","given":"Susan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":807749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward 0000-0002-7305-4603","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":213730,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":807751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dufour, Alfred P","contributorId":247494,"corporation":false,"usgs":false,"family":"Dufour","given":"Alfred","email":"","middleInitial":"P","affiliations":[{"id":49559,"text":"U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":807752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wade, Timothy J. 0000-0002-7843-0997","orcid":"https://orcid.org/0000-0002-7843-0997","contributorId":247495,"corporation":false,"usgs":false,"family":"Wade","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":49553,"text":"U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, NC","active":true,"usgs":false}],"preferred":false,"id":807753,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197641,"text":"70197641 - 2018 - Dryland photoautotrophic soil surface communities endangered by global change","interactions":[],"lastModifiedDate":"2018-06-15T09:29:38","indexId":"70197641","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dryland photoautotrophic soil surface communities endangered by global change","docAbstract":"Photoautotrophic surface communities forming biological soil crusts (biocrusts) are crucial for soil stability as well as water, nutrient and trace gas cycling at regional and global scales. Quantitative information on their global coverage and the environmental factors driving their distribution patterns, however, are not readily available. We use observations and environmental modelling to estimate the global distribution of biocrusts and their response to global change using future projected scenarios. We find that biocrusts currently covering approximately 12% of Earth’s terrestrial surface will decrease by about 25–40% within 65 years due to anthropogenically caused climate change and land-use intensification, responding far more drastically than vascular plants. Our results illustrate that current biocrust occurrence is mainly driven by a combination of precipitation, temperature and land management, and future changes are expected to be affected by land-use and climate change in similar proportion. The predicted loss of biocrusts may substantially reduce the microbial contribution to nitrogen cycling and enhance the emissions of soil dust, which affects the functioning of ecosystems as well as human health and should be considered in the modelling, mitigation and management of global change.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-018-0072-1","usgsCitation":"Rodriguez-Caballero, E., Belnap, J., Budel, B., Crutzen, P.J., Andreae, M.O., Poschl, U., and Weber, B., 2018, Dryland photoautotrophic soil surface communities endangered by global change: Nature Geoscience, v. 11, p. 185-189, https://doi.org/10.1038/s41561-018-0072-1.","productDescription":"5 p.","startPage":"185","endPage":"189","ipdsId":"IP-078018","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468661,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.obvsg.at/urn:nbn:at:at-ubg:3-14404","text":"External Repository"},{"id":355055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-26","publicationStatus":"PW","scienceBaseUri":"5b46e567e4b060350a15d11d","contributors":{"authors":[{"text":"Rodriguez-Caballero, Emilio 0000-0002-5934-3214","orcid":"https://orcid.org/0000-0002-5934-3214","contributorId":205639,"corporation":false,"usgs":false,"family":"Rodriguez-Caballero","given":"Emilio","email":"","affiliations":[{"id":37132,"text":"Multiphase Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":738018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":738017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budel, Burkhard","contributorId":172209,"corporation":false,"usgs":false,"family":"Budel","given":"Burkhard","email":"","affiliations":[{"id":26999,"text":"Plant Ecology and Systematics, Institute of Biology, University of Kaiserslautern, Kaiserlautern, Germany","active":true,"usgs":false}],"preferred":false,"id":738019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crutzen, Paul J.","contributorId":205640,"corporation":false,"usgs":false,"family":"Crutzen","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":37133,"text":"Air Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":738020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andreae, Meinrat O.","contributorId":205641,"corporation":false,"usgs":false,"family":"Andreae","given":"Meinrat","email":"","middleInitial":"O.","affiliations":[{"id":37134,"text":"Biogeochemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":738021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poschl, Ulrich","contributorId":205642,"corporation":false,"usgs":false,"family":"Poschl","given":"Ulrich","email":"","affiliations":[{"id":37132,"text":"Multiphase Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner-Weg 1, 55128 Mainz, Germany","active":true,"usgs":false}],"preferred":false,"id":738022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weber, Bettina","contributorId":196800,"corporation":false,"usgs":false,"family":"Weber","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":738023,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197648,"text":"70197648 - 2018 - Diurnal patterns of methane flux from a seasonal wetland: mechanisms and methodology","interactions":[],"lastModifiedDate":"2018-06-19T11:02:54","indexId":"70197648","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal patterns of methane flux from a seasonal wetland: mechanisms and methodology","docAbstract":"

Methane emissions from wetlands are temporally dynamic. Few chamber-based studies have explored diurnal variation in methane flux with high temporal replication. Using an automated sampling system, we measured methane flux every 2.5 to 4 h for 205 diel cycles during three growing seasons (2013–2015) from a seasonal wetland in the Prairie Pothole Region of North America. During ponded conditions, fluxes were generally positive (i.e., methanogenesis dominant, 10.1 ± 0.8 mg m−2 h−1), had extreme range of variation (from −1 to 70 mg m−2 h−1), and were highest during late day. In contrast, during dry conditions fluxes were very low and primarily negative (i.e., oxidation dominant, −0.05 ± 0.002 mg m−2 h−1), with the highest (least negative) fluxes occurring at pre-dawn. During semi-saturated conditions, methane fluxes also were very low, oscillated between positive and negative values (i.e., balanced between methanogenesis and methane oxidation), and exhibited no diel pattern. Methane flux was positively correlated with air temperature during ponded conditions (r = 0.57) and negatively during dry conditions (r = −0.42). Multiple regression analyses showed that temperature, light and water-filled pore space explained 72% of variation in methane flux. Methane fluxes are highly temporally dynamic and follow contrasting diel patterns that are dependent on dominant microbial processes influenced by saturation state.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1042-5","usgsCitation":"Bansal, S., Tangen, B., and Finocchiaro, R., 2018, Diurnal patterns of methane flux from a seasonal wetland: mechanisms and methodology: Wetlands, v. 45, no. 10, p. 4933-4943, https://doi.org/10.1007/s13157-018-1042-5.","productDescription":"11 p.","startPage":"4933","endPage":"4943","ipdsId":"IP-091017","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437862,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7348JB2","text":"USGS data release","linkHelpText":"Diurnal patterns of methane flux from a depressional, seasonal wetland"},{"id":355062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b46e567e4b060350a15d119","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":738040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":738041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":738042,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197646,"text":"70197646 - 2018 - Rapid crop cover mapping for the conterminous United States","interactions":[],"lastModifiedDate":"2018-06-14T15:57:50","indexId":"70197646","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Rapid crop cover mapping for the conterminous United States","docAbstract":"

Timely crop cover maps with sufficient resolution are important components to various environmental planning and research applications. Through the modification and use of a previously developed crop classification model (CCM), which was originally developed to generate historical annual crop cover maps, we hypothesized that such crop cover maps could be generated rapidly during the growing season. Through a process of incrementally removing weekly and monthly independent variables from the CCM and implementing a ‘two model mapping’ approach, we found it viable to generate conterminous United States-wide rapid crop cover maps at a resolution of 250 m for the current year by the month of September. In this approach, we divided the CCM model into one ‘crop type model’ to handle the classification of nine specific crops and a second, binary model to classify the presence or absence of ‘other’ crops. Under the two model mapping approach, the training errors were 0.8% and 1.5% for the crop type and binary model, respectively, while test errors were 5.5% and 6.4%, respectively. With spatial mapping accuracies for annual maps reaching upwards of 70%, this approach demonstrated a strong potential for generating rapid crop cover maps by the 1st of September.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-26284-w","usgsCitation":"Dahal, D., Wylie, B.K., and Howard, D., 2018, Rapid crop cover mapping for the conterminous United States: Scientific Reports, v. 8, Article number: 8631; 12 p., https://doi.org/10.1038/s41598-018-26284-w.","productDescription":"Article number: 8631; 12 p.","ipdsId":"IP-089563","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-26284-w","text":"Publisher Index Page"},{"id":355060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n\n\n","volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-05","publicationStatus":"PW","scienceBaseUri":"5b46e567e4b060350a15d11b","contributors":{"authors":[{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@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":738033,"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":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":738034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":56946,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":738035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196548,"text":"ofr20181068 - 2018 - A guide to processing bat acoustic data for the North American Bat Monitoring Program (NABat)","interactions":[],"lastModifiedDate":"2018-09-25T07:59:14","indexId":"ofr20181068","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1068","title":"A guide to processing bat acoustic data for the North American Bat Monitoring Program (NABat)","docAbstract":"

The North American Bat Monitoring Program (NABat) aims to improve the state of conservation science for all species of bats shared by the United States, Canada, and Mexico. To accomplish this goal, NABat offers guidance and standardized protocols for acoustic monitoring of bats. In this document, “A Guide to Processing Bat Acoustic Data for the North American Bat Monitoring Program (NABat),” we provide general recommendations and specific workflows for the process of identifying bat species from acoustic files recorded using the NABat stationary point and mobile transect acoustic monitoring protocols.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181068","collaboration":"Prepared in cooperation with Wildlife Conservation Society Canada, USDA Forest Service, US Army Corps of Engineers, Illinois Natural History Survey, New York State Department of Environmental Conservation, Colorado Natural Heritage Program, Montana Natural Heritage Program, National Park Service, and Bat Call Identification, Inc.","usgsCitation":"Reichert, B., and Lausen, C., Loeb, S., Weller, T., Allen, R., Britzke, E., Hohoff, T., Siemers, J., Burkholder, B., Herzog, C., and Verant, M., 2018, A guide to processing bat acoustic data for the North American Bat Monitoring Program (NABat): U.S. Geological Survey Open-File Report 2018–1068, 33 p., https://doi.org/10.3133/ofr20181068.","productDescription":"vi, 33 p.","numberOfPages":"43","onlineOnly":"Y","ipdsId":"IP-092559","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":353437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1068/coverthb2.jpg"},{"id":354992,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1068/ofr20181068.pdf","text":"Report","size":"3.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1068"}],"contact":"

Center Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118

","tableOfContents":"


","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-06-14","noUsgsAuthors":false,"publicationDate":"2018-06-14","publicationStatus":"PW","scienceBaseUri":"5b46e568e4b060350a15d123","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lausen, Cori","contributorId":204261,"corporation":false,"usgs":false,"family":"Lausen","given":"Cori","affiliations":[{"id":36893,"text":"Wildlife Conservation Society Canada","active":true,"usgs":false}],"preferred":false,"id":733537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loeb, Susan","contributorId":204263,"corporation":false,"usgs":false,"family":"Loeb","given":"Susan","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":733539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weller, Ted 0000-0002-2914-5225","orcid":"https://orcid.org/0000-0002-2914-5225","contributorId":204262,"corporation":false,"usgs":false,"family":"Weller","given":"Ted","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":733538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Ryan","contributorId":204270,"corporation":false,"usgs":false,"family":"Allen","given":"Ryan","email":"","affiliations":[{"id":36896,"text":"Bat Call Identification, Inc.","active":true,"usgs":false}],"preferred":false,"id":733546,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Britzke, Eric","contributorId":204264,"corporation":false,"usgs":false,"family":"Britzke","given":"Eric","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":733540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hohoff, Tara","contributorId":204265,"corporation":false,"usgs":false,"family":"Hohoff","given":"Tara","email":"","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":733541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siemers, Jeremy","contributorId":204266,"corporation":false,"usgs":false,"family":"Siemers","given":"Jeremy","affiliations":[{"id":27518,"text":"Colorado Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":733542,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burkholder, Braden","contributorId":204267,"corporation":false,"usgs":false,"family":"Burkholder","given":"Braden","email":"","affiliations":[{"id":36895,"text":"Montana Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":733543,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herzog, Carl","contributorId":204268,"corporation":false,"usgs":false,"family":"Herzog","given":"Carl","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":733544,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Verant, Michelle 0000-0001-6994-6257","orcid":"https://orcid.org/0000-0001-6994-6257","contributorId":204269,"corporation":false,"usgs":false,"family":"Verant","given":"Michelle","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":733545,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70197626,"text":"70197626 - 2018 - Seagrass impact on sediment exchange between tidal flats and salt Marsh, and the sediment budget of shallow bays","interactions":[],"lastModifiedDate":"2018-07-03T11:04:21","indexId":"70197626","displayToPublicDate":"2018-06-14T00:00:00","publicationYear":"2018","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":"Seagrass impact on sediment exchange between tidal flats and salt Marsh, and the sediment budget of shallow bays","docAbstract":"Seagrasses are marine flowering plants that strongly impact their physical and biological\nsurroundings and are therefore frequently referred to as ecological engineers. The effect of seagrasses on coastal bay resilience and sediment transport dynamics is understudied. Here we use six historical maps of seagrass distribution in Barnegat Bay, USA, to investigate the role of these vegetated surfaces on the sediment storage capacity of shallow bays. Analyses are carried out by means of the Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) numerical modeling framework. Results show that a decline in the extent of seagrass meadows reduces the sediment mass potentially stored within bay systems. The presence of seagrass reduces shear stress values across the entire bay, including unvegetated areas, and promotes sediment deposition on tidal flats. On the other hand, the presence of seagrasses decreases suspended sediment concentrations, which in turn reduces the delivery of sediment to marsh platforms. Results highlight the relevance of seagrasses for the long-term survival of coastal ecosystems, and the complex dynamics regulating the interaction between subtidal and intertidal landscapes.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL078056","usgsCitation":"Donatelli, C., Ganju, N.K., Fagherazzi, S., and Leonardi, N., 2018, Seagrass impact on sediment exchange between tidal flats and salt Marsh, and the sediment budget of shallow bays: Geophysical Research Letters, v. 45, no. 10, p. 4933-4943, https://doi.org/10.1029/2018GL078056.","productDescription":"11 p.","startPage":"4933","endPage":"4943","ipdsId":"IP-093431","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl078056","text":"Publisher Index Page"},{"id":355044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.25178527832031,\n 39.67759833072648\n ],\n [\n -74.07840728759766,\n 39.67759833072648\n ],\n [\n -74.07840728759766,\n 39.87048617098581\n ],\n [\n -74.25178527832031,\n 39.87048617098581\n ],\n [\n -74.25178527832031,\n 39.67759833072648\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","scienceBaseUri":"5b46e567e4b060350a15d11f","contributors":{"authors":[{"text":"Donatelli, Carmine","contributorId":202870,"corporation":false,"usgs":false,"family":"Donatelli","given":"Carmine","affiliations":[{"id":36541,"text":"University of Liverpool, Department of Geography and Planning, 74 Bedford St S.","active":true,"usgs":false}],"preferred":false,"id":737973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil Kamal 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":192273,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"Kamal","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":737974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leonardi, Nicoletta","contributorId":202868,"corporation":false,"usgs":false,"family":"Leonardi","given":"Nicoletta","email":"","affiliations":[{"id":36541,"text":"University of Liverpool, Department of Geography and Planning, 74 Bedford St S.","active":true,"usgs":false}],"preferred":false,"id":737975,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197524,"text":"ofr20181087 - 2018 - Bedrock geologic map of the Littleton and Lower Waterford quadrangles, Essex and Caledonia Counties, Vermont, and Grafton County, New Hampshire","interactions":[],"lastModifiedDate":"2019-02-12T13:58:05","indexId":"ofr20181087","displayToPublicDate":"2018-06-13T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1087","title":"Bedrock geologic map of the Littleton and Lower Waterford quadrangles, Essex and Caledonia Counties, Vermont, and Grafton County, New Hampshire","docAbstract":"

The bedrock geologic map of the Littleton and Lower Waterford quadrangles covers an area of approximately 107 square miles (277 square kilometers) north and south of the Connecticut River in east-central Vermont and adjacent New Hampshire. This map was created as part of a larger effort to produce a new bedrock geologic map of Vermont through the collection of field data at a scale of 1:24,000. A large part of the map area consists of the Bronson Hill anticlinorium, a post-Early Devonian structure that is cored by metamorphosed Cambrian to Devonian sedimentary, volcanic, and plutonic rocks. The northwestern part of the map is divided by the Monroe fault which separates Early Devonian rocks of the Connecticut Valley-Gaspé trough from rocks of the Bronson Hill anticlinorium.

The Bronson Hill anticlinorium is the apex of the Middle Ordovician to earliest-Silurian Bronson Hill magmatic arc that contains the Ammonoosuc Volcanics, Partridge Formation, and Oliverian Plutonic suite, and extends from Maine, down the eastern side of the Connecticut River in New Hampshire, to Long Island Sound. The deformed and partially eroded arc is locally overlain by a relatively thin Silurian section of metasedimentary rocks (Clough Quartzite and Fitch Formation) that thickens to the east. The Silurian section near Littleton is disconformably overlain by a thicker, Lower Devonian section that includes mostly metasedimentary rocks and minor metavolcanic rocks of the Littleton Formation. The Bronson Hill anticlinorium is bisected by a series of northeast-southwest trending Mesozoic normal faults. Primarily among them is the steeply northwest-dipping Ammonoosuc fault that divides older and younger units (upper and lower sections) of the Ammonoosuc Volcanics. The Ammonoosuc Volcanics are lithologically complex and predominantly include interlayered and interfingered rhyolitic to basaltic volcanic and volcaniclastic rocks, as well as lesser amounts of metamorphic and metasedimentary rocks. The Ammonoosuc Volcanics overlies the Albee Formation that consists of interlayered feldspathic sandstone, siltstone, pelite, and slate.

During the Late Ordovician, a series of arc-related plutons intruded the Ammonoosuc Volcanics, including the Whitefield pluton to the east, the Scrag granite of Billing (1937) in the far southeastern corner of the map, the Highlandcroft Granodiorite just to the west of the Ammonoosuc fault, and the Joslin Turn tonalite (just north of the Connecticut River). To the east of the Monroe fault lies the late Silurian Comerford Intrusive Complex, which consists of metamorphosed gabbro, diorite, tonalite, aplitic tonalite, and crosscutting diabase dikes. Abundant mafic dikes of the Comerford Intrusive Complex intruded the Albee Formation and Ammonoosuc Volcanics well east of the Monroe fault.

This report consists of a single geologic map sheet and an online geographic information systems database that includes contacts of bedrock geologic units, faults, outcrops, and structural geologic information.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181087","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey, and the State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey","usgsCitation":"Rankin, D.W., 2018, Bedrock geologic map of the Littleton and Lower Waterford quadrangles, Essex and Caledonia Counties, Vermont, and Grafton County, New Hampshire: U.S. Geological Survey Open-File Report 2018–1087, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20181087.","productDescription":"Sheet: 36.00 x 45.82 inches; Geologic Map: ArcGIS 10.5 zip; Geodatabase; Metadata; Base Map","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081645","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":354879,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_geologic-map-files.zip","text":"Geologic Map (ArcGIS 10.5)","size":"49.3 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Geologic Map"},{"id":354880,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_basemap-files.zip","text":"Base Map","size":"10.8 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Base Map"},{"id":354979,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_littleton-lowerwaterford-xml.zip","text":"Metadata ","size":"67.1 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Metadata"},{"id":354876,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1087/ofr20181087.pdf","text":"Geologic Map","size":"24.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1087"},{"id":354875,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1087/coverthb2.jpg"},{"id":354878,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_database-files.gdb.zip","text":"Database","size":"1.30 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Geodatabase "}],"country":"United States","state":"New Hampshire, Vermont","county":"Caledonia County, Grafton County, Essex County","otherGeospatial":"Littleton Quadrangle, Lower Waterford Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72,\n 44.25\n ],\n [\n -71.75,\n 44.25\n ],\n [\n -71.75,\n 44.375\n ],\n [\n -72,\n 44.375\n ],\n [\n -72,\n 44.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-06-13","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e568e4b060350a15d125","contributors":{"authors":[{"text":"Rankin, Douglas W. dwrankin@usgs.gov","contributorId":203508,"corporation":false,"usgs":true,"family":"Rankin","given":"Douglas","email":"dwrankin@usgs.gov","middleInitial":"W.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":737867,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201714,"text":"70201714 - 2018 - Preface to the Focus Section on the Collaboratory for the Study of Earthquake Predictability (CSEP): New results and future directions","interactions":[],"lastModifiedDate":"2019-01-29T10:30:56","indexId":"70201714","displayToPublicDate":"2018-06-13T13:01:51","publicationYear":"2018","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":"Preface to the Focus Section on the Collaboratory for the Study of Earthquake Predictability (CSEP): New results and future directions","docAbstract":"

The Collaboratory for the Study of Earthquake Predictability (CSEP; Jordan, 2006) carries out fully prospective tests of earthquake forecasts, using fixed and standardized statistical tests and authoritative data sets, to assess the predictive skill of forecast models and to make objective comparisons between models. CSEP conducts prospective experiments at four testing centers around the world, at which more than 400 models and model versions are currently under evaluation. These models include a range of methods and scales from long‐term global earthquake forecasts to short‐term regional forecasts used for Operational Earthquake Forecasting (OEF). CSEP has also conducted retrospective tests and developed new testing methods in its quest to answer fundamental scientific questions, improve seismic hazard assessments, and develop new forecast methods for OEF.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180161","usgsCitation":"Michael, A.J., and Werner, M.J., 2018, Preface to the Focus Section on the Collaboratory for the Study of Earthquake Predictability (CSEP): New results and future directions: Seismological Research Letters, v. 89, no. 4, p. 1226-1228, https://doi.org/10.1785/0220180161.","productDescription":"3 p.","startPage":"1226","endPage":"1228","ipdsId":"IP-098396","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468662,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/5ef252d7-aa19-4039-bc43-051e520e7e29","text":"External Repository"},{"id":360739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e826","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":754957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Maximillian J.","contributorId":211807,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian","email":"","middleInitial":"J.","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":754958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205285,"text":"70205285 - 2018 - The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","interactions":[],"lastModifiedDate":"2019-09-12T09:59:18","indexId":"70205285","displayToPublicDate":"2018-06-13T09:48:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5471,"text":"Mitochondrial DNA Part B","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","title":"The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","docAbstract":"

The complete mitogenome of the stalk-forming diatom Didymosphenia geminata collected from Mineral County, WV, USA was sequenced on the Ion Torrent PGM and Proton sequencers. The D. geminata mitogenome is 37,765 bp and encodes 35 protein coding genes, 25 tRNAs, and both large and small subunit ribosomal RNA genes. The nad11 gene is split into two domains as observed in Phaeodactylum tricornutum, and D. geminata also lacks the large repeat region found in the P. tricornutum mitogenome. Gene order and content within the D. geminata mitogenome is similar to the diatom Berkeleya fennica.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23802359.2018.1462669","usgsCitation":"Aunins, A.W., Hamilton, D., and King, T.L., 2018, The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata: Mitochondrial DNA Part B, v. 2, no. 3, p. 676-677, https://doi.org/10.1080/23802359.2018.1462669.","productDescription":"2 p.","startPage":"676","endPage":"677","ipdsId":"IP-093143","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23802359.2018.1462669","text":"Publisher Index Page"},{"id":367380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, Donald","contributorId":218937,"corporation":false,"usgs":false,"family":"Hamilton","given":"Donald","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":770730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770729,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216310,"text":"70216310 - 2018 - Divergent effects of land-use, propagule pressure, and climate on woody riparian invasion","interactions":[],"lastModifiedDate":"2020-11-11T15:01:54.712614","indexId":"70216310","displayToPublicDate":"2018-06-13T08:56:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Divergent effects of land-use, propagule pressure, and climate on woody riparian invasion","docAbstract":"

Landscape-scale analyses of biological invasion are needed to understand the relative importance of environmental drivers that vary at larger scales, such as climate, propagule pressure, resource availability, and human disturbance. One poorly understood landscape-scale question is, how does human land-use influence riparian plant invasion? To evaluate the relative importance of land-use, climate, propagule pressure, and water availability in riparian invasion, we examined tamarisk (Tamarix ramosissima, T. chinensis, hybrids), Russian olive (Elaeagnus angustifolia), and Siberian elm (Ulmus pumila) occurrence, abundance, and dominance in 238 riparian sites in developed, cultivated, and undeveloped areas of four western USA river basins (281,946 km2). Temperature and propagule pressure from individuals planted nearby largely drove invasive species occurrence, whereas factors likely to affect resource availability (e.g., land-use, precipitation, streamflow intermittency) were more important to abundance and dominance, supporting the argument that species distribution models based on occurrence alone may fail to identify conditions where invasive species have the greatest impact. The role of land-use varied among taxa: urban and suburban land-use increased Siberian elm occurrence, abundance, and dominance, and urban land-use increased Russian olive occurrence, whereas suburban land-use reduced tamarisk dominance. Surprisingly, Siberian elm, which has received scant prior scientific and management attention, occurred as or more frequently than tamarisk and Russian olive (except in undeveloped areas of the Colorado River headwaters) and had higher density and dominance than tamarisk and Russian olive in developed areas. More research is needed to understand the impacts of this largely unrecognized invader on riparian ecosystem services, particularly in urban and suburban areas.


","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1773-5","usgsCitation":"Perry, L.G., Reynolds, L.V., and Shafroth, P., 2018, Divergent effects of land-use, propagule pressure, and climate on woody riparian invasion: Biological Invasions, v. 20, p. 3271-3295, https://doi.org/10.1007/s10530-018-1773-5.","productDescription":"25 p.","startPage":"3271","endPage":"3295","ipdsId":"IP-097094","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437863,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TX3DPF","text":"USGS data release","linkHelpText":"Woody riparian invasive plant presence, stem density, and rank dominance and environmental conditions in 2012 at 238 bridge crossings in the Colorado Headwaters, upper/middle Rio Grande, upper Arkansas, and South Platte River Basins, USA"},{"id":380410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.7216796875,\n 40.88029480552824\n ],\n [\n -104.5458984375,\n 40.81380923056958\n ],\n [\n -109.1162109375,\n 40.74725696280421\n ],\n [\n -109.2919921875,\n 38.58252615935333\n ],\n [\n -109.072265625,\n 36.66841891894786\n ],\n [\n -107.9296875,\n 32.99023555965106\n ],\n [\n -104.853515625,\n 33.76088200086917\n ],\n [\n -103.35937499999999,\n 35.92464453144099\n ],\n [\n -101.90917968749999,\n 38.51378825951165\n ],\n [\n -102.26074218749999,\n 39.50404070558415\n ],\n [\n -104.7216796875,\n 40.88029480552824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Laura G","contributorId":177873,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":804626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Lindsay V.","contributorId":141182,"corporation":false,"usgs":false,"family":"Reynolds","given":"Lindsay","email":"","middleInitial":"V.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":804627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804628,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216331,"text":"70216331 - 2018 - Global and local sources of mercury deposition in coastal New England reconstructed from a multi-proxy, high-resolution, estuarine sediment record","interactions":[],"lastModifiedDate":"2020-11-12T14:05:11.343844","indexId":"70216331","displayToPublicDate":"2018-06-13T07:56:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Global and local sources of mercury deposition in coastal New England reconstructed from a multi-proxy, high-resolution, estuarine sediment record","docAbstract":"

Historical reconstruction of mercury (Hg) accumulation in natural archives, especially lake sediments, has been essential to understanding human perturbation of the global Hg cycle. Here we present a high-resolution chronology of Hg accumulation between 1727 and 1996 in a varved sediment core from the Pettaquamscutt River Estuary (PRE), Rhode Island. Mercury accumulation is examined relative to (1) historic deposition of polycyclic aromatic hydrocarbons (PAHs) and lead (Pb) and its isotopes (206Pb/207Pb) in the same core, and (2) other reconstructions of Hg deposition in urban and remote settings. Mercury deposition in PRE parallels the temporal patterns of PAHs, and both track industrialization and regional coal use between 1850 and 1950 as well as rising petroleum use after 1950. There is little indication of increased Hg deposition from late 19th-century silver and gold mining in the western U.S. A broad maximum of Hg deposition during 1930–1980, and not found in remote sites, is consistent with the predicted influence of additional industrial sources and commercial products. Our results imply that a significant portion of global anthropogenic Hg emissions during the 20th century was deposited locally, near urban and industrial centers of Hg use and release.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b06122","usgsCitation":"Fitzgerald, W.F., Engstrom, D., Hammerschmidt, C., Lamborg, C., Balcom, P., Lima-Braun, A., Bothner, M., and Reddy, C.M., 2018, Global and local sources of mercury deposition in coastal New England reconstructed from a multi-proxy, high-resolution, estuarine sediment record: Environmental Science & Technology, v. 52, no. 14, p. 7614-7620, https://doi.org/10.1021/acs.est.7b06122.","productDescription":"7 p.","startPage":"7614","endPage":"7620","ipdsId":"IP-092815","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":380445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, New Hampshire, Massachusetts, Rhode Island, 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\"}}]}","volume":"52","issue":"14","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzgerald, William. F","contributorId":244826,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"William.","email":"","middleInitial":"F","affiliations":[{"id":48991,"text":"Department of Marine Sciences, University of Connecticut, Groton, Connecticut","active":true,"usgs":false}],"preferred":false,"id":804713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engstrom, Daniel R","contributorId":220562,"corporation":false,"usgs":false,"family":"Engstrom","given":"Daniel R","affiliations":[{"id":15307,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota","active":true,"usgs":false}],"preferred":false,"id":804714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammerschmidt, Chad","contributorId":244827,"corporation":false,"usgs":false,"family":"Hammerschmidt","given":"Chad","affiliations":[{"id":48992,"text":"Department of Earth & Environmental Sciences, Wright State University, Dayton, Ohio 45435 USA","active":true,"usgs":false}],"preferred":false,"id":804715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamborg, Carl","contributorId":214046,"corporation":false,"usgs":false,"family":"Lamborg","given":"Carl","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":804716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balcom, Prentiss","contributorId":244828,"corporation":false,"usgs":false,"family":"Balcom","given":"Prentiss","email":"","affiliations":[{"id":48993,"text":"Department of Marine Sciences, University of Connecticut, Groton, Connecticut 06340, USA","active":true,"usgs":false}],"preferred":false,"id":804717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lima-Braun, Ana","contributorId":244829,"corporation":false,"usgs":false,"family":"Lima-Braun","given":"Ana","email":"","affiliations":[{"id":48994,"text":"Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02543, USA","active":true,"usgs":false}],"preferred":false,"id":804718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":804719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reddy, Christopher M.","contributorId":193722,"corporation":false,"usgs":false,"family":"Reddy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":804720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195591,"text":"sir20185029 - 2018 - Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015","interactions":[],"lastModifiedDate":"2018-06-14T10:02:19","indexId":"sir20185029","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5029","title":"Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015","docAbstract":"

In response to the need for more information about selenium (Se) sources and transport, the U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, completed a study that characterized Se loads in a reach of the Gunnison River between Delta and Grand Junction, Colo. This report identifies where possible dissolved Se loading is occurring in a study reach in the Lower Gunnison River Basin between Delta and Grand Junction on November 19, 2015.

The combined Se loads from the Gunnison River at Delta (site 3) and the Uncompahgre River at Delta (site 4) were about 95 percent of the load at the furthest downstream main-stem sample location at the Gunnison River below Roubideau Creek near Delta (site 20) (31.6 and 33.4 pounds per day, respectively), indicating that about 5 percent of the total load (1.8 pounds) was potentially contributed from diffuse groundwater inflow. Main-stem streamflow accounting during November 2015 in a downstream direction was not supportive of substantial net gains or losses in the main-stem water balance.

The cumulative load from measured tributary inflows downstream from the Uncompahgre River confluence only amounted to 1.2 pounds of the main-stem loads (1.8 pounds gain) from site 4 to the end of the synoptic reach at site 20. The remaining 33 percent (about 0.6 pounds) of Se load increase was not accounted for by known tributary inflow. Yet, the small changes in the streamflow mass balance in the same reach does not strongly support a net inflow explanation for the apparent gain in load.

Based on the results of the loading and streamflow analysis, when errors in the loading estimates are considered, there is no conclusive evidence of an appreciable amount of Se load that is unaccounted for in the study reach of the Gunnison River as was originally hypothesized. Differences determined from comparisons of cumulative tributary loads and Gunnison River main-stem loads for this study are within error estimates of the main-stem loads.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185029","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Stevens, M.R., Leib, K.J., Thomas, J.C., Bauch, N.J., and Richards, R.J., 2018, Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015: U.S. GeologicalSurvey Scientific Investigations Report 2018–5029, 17 p., https://doi.org/10.3133/sir20185029.","productDescription":"v, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-087865","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":354762,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5029/coverthb.jpg"},{"id":354763,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5029/sir20185029.pdf","text":"Report","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5029"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 37.5\n ],\n [\n -106.25,\n 37.5\n ],\n [\n -106.25,\n 39.5\n ],\n [\n -109,\n 39.5\n ],\n [\n -109,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-06-13","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e56ce4b060350a15d139","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":729360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":729362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","interactions":[{"subject":{"id":70049060,"text":"fs20133100 - 2013 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20133100","publicationYear":"2013","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"predicate":"SUPERSEDED_BY","object":{"id":70196670,"text":"fs20183027 - 2018 - National Satellite Land Remote Sensing Data Archive","indexId":"fs20183027","publicationYear":"2018","noYear":false,"title":"National Satellite Land Remote Sensing Data Archive"},"id":1}],"lastModifiedDate":"2018-09-25T06:34:15","indexId":"fs20183027","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3027","title":"National Satellite Land Remote Sensing Data Archive","docAbstract":"

The National Satellite Land Remote Sensing Data Archive is managed on behalf of the Secretary of the Interior by the U.S. Geological Survey’s Earth Resources Observation and Science Center. The Land Remote Sensing Policy Act of 1992 (51 U.S.C. §601) directed the U.S. Department of the Interior to establish a permanent global archive consisting of imagery over land areas obtained from satellites orbiting the Earth. The law also directed the U.S. Department of the Interior, delegated to the U.S. Geological Survey, to ensure proper storage and preservation of imagery, and timely access for all parties. Since 2008, these images have been available at no cost to the user.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183027","usgsCitation":"Faundeen, J.L., and Longhenry, R., 2018, National Satellite Land Remote Sensing Data Archive: U.S. Geological Survey Fact Sheet 2018–3027, 2 p., https://doi.org/10.3133/fs20183027. [Supersedes USGS Fact Sheet 2013–3100.]","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-096390","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":354967,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3027/fs20183027.pdf","text":"Report","size":"10.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3027"},{"id":354966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3027/coverthb2.jpg"}],"contact":"

Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198 

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-06-13","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e56ce4b060350a15d137","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@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":733924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longhenry, Ryan 0000-0002-9995-3690","orcid":"https://orcid.org/0000-0002-9995-3690","contributorId":204437,"corporation":false,"usgs":true,"family":"Longhenry","given":"Ryan","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":733925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198113,"text":"70198113 - 2018 - Ensemble smoothed seismicity models for the new Italian Probabilistic Seismic Hazard Map","interactions":[],"lastModifiedDate":"2018-07-17T10:09:09","indexId":"70198113","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","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":"Ensemble smoothed seismicity models for the new Italian Probabilistic Seismic Hazard Map","docAbstract":"

We develop a long‐term (a few decades or longer) earthquake rate forecast for Italy based on smoothed seismicity for incorporation in the 2017–2018 Italian Probabilistic Seismic Hazard Maps (IPSHM). Because the earthquake rate models from previous IPSHM were computed using source zones that were drawn around seismicity and tectonic provinces, the present model will be the first introduction of the smoothed seismicity method into the IPSHM. Smoothed seismicity models are constructed from both historical CPTI15 (Catalogo Parametrico dei Terremoti Italiani, 1000–2014) and instrumental (1981–2016) earthquake catalogs and use both fixed and adaptive smoothing methods. We compute spatial likelihood values comparing the spatial distribution of observed earthquakes with a suite of trial earthquake rate models to optimize smoothing parameters and catalogs. Then we produce an ensemble model using two different smoothing models (adaptive and fixed) and two earthquake catalogs (historical and instrumental), which are weighted equally through a logic‐tree approach to improve the forecast capability. We also compare our optimized smoothed seismicity models with the best two models of the Italian Collaboratory for the Study of Earthquake Predictability (CSEP) experiment and retrospectively test them with the CSEP methodology. We observed that the ensemble model performs slightly better than the optimized fixed and the adaptive smoothing seismicity models obtained in this study and the best time‐independent model of the CSEP Italian experiment. The preferred ensemble model forecasts an annual rate of 1.47 M&#x2265;5.0\">M≥5.0 earthquakes, with higher rates mainly concentrating along the Apennines chain, eastern Alps, Calabria, and northeast Sicily. Finally, six ensemble models are created from the different smoothing methods using different weights through a logic‐tree approach to estimate the uncertainty associated with the model.

","language":"English","publisher":"SSA","doi":"10.1785/0220180040","usgsCitation":"Akinci, A., Moschetti, M.P., and Taroni, M., 2018, Ensemble smoothed seismicity models for the new Italian Probabilistic Seismic Hazard Map: Seismological Research Letters, v. 89, no. 4, p. 1277-1287, https://doi.org/10.1785/0220180040.","productDescription":"11 p.","startPage":"1277","endPage":"1287","ipdsId":"IP-096395","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[15.52038,38.23116],[15.16024,37.44405],[15.3099,37.13422],[15.09999,36.61999],[14.33523,36.99663],[13.82673,37.10453],[12.431,37.61295],[12.57094,38.12638],[13.74116,38.03497],[14.76125,38.14387],[15.52038,38.23116]]],[[[9.21001,41.20999],[9.80998,40.50001],[9.66952,39.17738],[9.21482,39.24047],[8.80694,38.90662],[8.4283,39.17185],[8.38825,40.37831],[8.16,40.95001],[8.70999,40.89998],[9.21001,41.20999]]],[[[12.37649,46.76756],[13.80648,46.50931],[13.69811,46.01678],[13.93763,45.59102],[13.14161,45.73669],[12.32858,45.38178],[12.38387,44.88537],[12.26145,44.60048],[12.58924,44.09137],[13.52691,43.58773],[14.02982,42.76101],[15.14257,41.95514],[15.92619,41.96132],[16.1699,41.74029],[15.88935,41.54108],[16.785,41.17961],[17.51917,40.87714],[18.37669,40.35562],[18.48025,40.16887],[18.29339,39.81077],[17.73838,40.27767],[16.8696,40.44223],[16.44874,39.7954],[17.17149,39.4247],[17.05284,38.90287],[16.63509,38.84357],[16.10096,37.9859],[15.68409,37.90885],[15.68796,38.21459],[15.89198,38.75094],[16.10933,38.96455],[15.71881,39.54407],[15.41361,40.04836],[14.9985,40.17295],[14.70327,40.60455],[14.06067,40.78635],[13.62799,41.18829],[12.88808,41.25309],[12.10668,41.70453],[11.19191,42.35543],[10.51195,42.93146],[10.20003,43.92001],[9.70249,44.03628],[8.88895,44.36634],[8.42856,44.23123],[7.85077,43.76715],[7.43518,43.69384],[7.5496,44.1279],[7.00756,44.25477],[6.74996,45.02852],[7.09665,45.3331],[6.80236,45.70858],[6.84359,45.99115],[7.27385,45.77695],[7.75599,45.82449],[8.31663,46.16364],[8.48995,46.00515],[8.96631,46.03693],[9.18288,46.44021],[9.92284,46.3149],[10.36338,46.48357],[10.4427,46.89355],[11.04856,46.75136],[11.16483,46.94158],[12.15309,47.11539],[12.37649,46.76756]]]]},\"properties\":{\"name\":\"Italy\"}}]}","volume":"89","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b6fc431e4b0f5d57878ea17","contributors":{"authors":[{"text":"Akinci, Aybige","contributorId":172715,"corporation":false,"usgs":false,"family":"Akinci","given":"Aybige","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":740075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taroni, Matteo","contributorId":178526,"corporation":false,"usgs":false,"family":"Taroni","given":"Matteo","email":"","affiliations":[],"preferred":false,"id":740077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197561,"text":"ofr20181093 - 2018 - Reexamination of the subsurface fault structure in the vicinity of the 1989 moment-magnitude-6.9 Loma Prieta earthquake, central California, using steep-reflection, earthquake, and magnetic data","interactions":[],"lastModifiedDate":"2018-06-14T09:58:01","indexId":"ofr20181093","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1093","title":"Reexamination of the subsurface fault structure in the vicinity of the 1989 moment-magnitude-6.9 Loma Prieta earthquake, central California, using steep-reflection, earthquake, and magnetic data","docAbstract":"

We reexamine the geometry of the causative fault structure of the 1989 moment-magnitude-6.9 Loma Prieta earthquake in central California, using seismic-reflection, earthquake-hypocenter, and magnetic data. Our study is prompted by recent interpretations of a two-part dip of the San Andreas Fault (SAF) accompanied by a flower-like structure in the Coachella Valley, in southern California. Initially, the prevailing interpretation of fault geometry in the vicinity of the Loma Prieta earthquake was that the mainshock did not rupture the SAF, but rather a secondary fault within the SAF system, because network locations of aftershocks defined neither a vertical plane nor a fault plane that projected to the surface trace of the SAF. Subsequent waveform cross-correlation and double-difference relocations of Loma Prieta aftershocks appear to have clarified the fault geometry somewhat, with steeply dipping faults in the upper crust possibly connecting to the more moderately southwest-dipping mainshock rupture in the middle crust. Examination of steep-reflection data, extracted from a 1991 seismic-refraction profile through the Loma Prieta area, reveals three robust fault-like features that agree approximately in geometry with the clusters of upper-crustal relocated aftershocks. The subsurface geometry of the San Andreas, Sargent, and Berrocal Faults can be mapped using these features and the aftershock clusters. The San Andreas and Sargent Faults appear to dip northeastward in the uppermost crust and change dip continuously toward the southwest with depth. Previous models of gravity and magnetic data on profiles through the aftershock region also define a steeply dipping SAF, with an initial northeastward dip in the uppermost crust that changes with depth. At a depth 6 to 9 km, upper-crustal faults appear to project into the moderately southwest-dipping, planar mainshock rupture. The change to a planar dipping rupture at 6–9 km is similar to fault geometry seen in the Coachella Valley.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181093","usgsCitation":"Zhang, E., Fuis, G.S., Catchings, R.D., Scheirer, D.S., Goldman, M., and Bauer, K., 2018, Reexamination of the subsurface fault structure in the vicinity of the 1989 moment-magnitude-6.9 Loma Prieta earthquake, central California, using steep-reflection, earthquake, and magnetic data: U.S. Geological Survey Open-File Report 2018–1093, 35 p., https://doi.org/10.3133/ofr20181093.","productDescription":"v; 35 p.","onlineOnly":"Y","ipdsId":"IP-097280","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355009,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1093/coverthb.jpg"},{"id":355010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1093/ofr20181093.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1093"}],"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 -121.92214965820311,\n 36.97128966642495\n ],\n [\n -121.75804138183594,\n 36.97128966642495\n ],\n [\n -121.75804138183594,\n 37.2\n ],\n [\n -121.92214965820311,\n 37.2\n ],\n [\n -121.92214965820311,\n 36.97128966642495\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information, Menlo Park, Calif. 
Office—Earthquake Science Center 
U.S. Geological Survey 
345 Middlefield Road, MS 977 
Menlo Park, CA 94025 
https://earthquake.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-06-13","noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e56be4b060350a15d135","contributors":{"authors":[{"text":"Zhang, Edward","contributorId":205530,"corporation":false,"usgs":true,"family":"Zhang","given":"Edward","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":737673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuis, Gary S. 0000-0002-3078-1544","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":204656,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":737672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":737674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldman, Mark 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205532,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":737676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bauer, Klaus","contributorId":198443,"corporation":false,"usgs":false,"family":"Bauer","given":"Klaus","email":"","affiliations":[],"preferred":false,"id":737677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197615,"text":"70197615 - 2018 - Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species","interactions":[],"lastModifiedDate":"2018-11-14T09:57:14","indexId":"70197615","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species","docAbstract":"

Knowledge of the spatial distributions and dispersal characteristics of invasive species is necessary for managing the spread of highly mobile species, such as invasive bigheaded carps (Bighead Carp [Hypophthalmichthys nobilis] and Silver Carp [H. molitrix]). Management of invasive bigheaded carps in the Illinois River has focused on using human-made barriers and harvest to limit dispersal towards the Laurentian Great Lakes. Acoustic telemetry data were used to parameterize multistate models to examine the spatial dynamics of bigheaded carps in the Illinois River to (1) evaluate the effects of existing dams on movement, (2) identify how individuals distribute among pools, and (3) gauge the effects of reductions in movement towards the invasion front. Multistate models estimated that movement was generally less likely among upper river pools (Starved Rock, Marseilles, and Dresden Island) than the lower river (La Grange and Peoria) which matched the pattern of gated versus wicket style dams. Simulations using estimated movement probabilities indicated that Bighead Carp accumulate in La Grange Pool while Silver Carp accumulate in Alton Pool. Fewer Bighead Carp reached the upper river compared to Silver Carp during simulations. Reducing upstream movement probabilities (e.g., reduced propagule pressure) by ≥ 75% into any of the upper river pools could reduce upper river abundance with similar results regardless of location. Given bigheaded carp reproduction in the upper Illinois River is presently limited, reduced movement towards the invasion front coupled with removal of individuals reaching these areas could limit potential future dispersal towards the Great Lakes.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1772-6","usgsCitation":"Coulter, A.A., Brey, M.K., Lubejko, M., Kallis, J.L., Coulter, D.P., Glover, D.C., Whitledge, G.W., and Garvey, J.E., 2018, Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species: Biological Invasions, v. 20, no. 11, p. 3255-3270, https://doi.org/10.1007/s10530-018-1772-6.","productDescription":"16 p.","startPage":"3255","endPage":"3270","ipdsId":"IP-086127","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437866,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RYXNS4","text":"USGS data release","linkHelpText":"Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species: Data"},{"id":355022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Laurentian Great Lakes","volume":"20","issue":"11","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-05","publicationStatus":"PW","scienceBaseUri":"5b46e569e4b060350a15d129","contributors":{"authors":[{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":737929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubejko, Matthew","contributorId":195897,"corporation":false,"usgs":false,"family":"Lubejko","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":737931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":737932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coulter, David P.","contributorId":205629,"corporation":false,"usgs":false,"family":"Coulter","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737999,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":737934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197613,"text":"70197613 - 2018 - Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche","interactions":[],"lastModifiedDate":"2018-07-16T11:08:45","indexId":"70197613","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche","docAbstract":"

Haematopoietic stem and progenitor cells (HSPCs) require a specific microenvironment, the haematopoietic niche, which regulates HSPC behaviour. The location of this niche varies across species, but the evolutionary pressures that drive HSPCs to different microenvironments remain unknown. The niche is located in the bone marrow in adult mammals, whereas it is found in other locations in non-mammalian vertebrates, for example, in the kidney marrow in teleost fish. Here we show that a melanocyte umbrella above the kidney marrow protects HSPCs against ultraviolet light in zebrafish. Because mutants that lack melanocytes have normal steady-state haematopoiesis under standard laboratory conditions, we hypothesized that melanocytes above the stem cell niche protect HSPCs against ultraviolet-light-induced DNA damage. Indeed, after ultraviolet-light irradiation, unpigmented larvae show higher levels of DNA damage in HSPCs, as indicated by staining of cyclobutane pyrimidine dimers and have reduced numbers of HSPCs, as shown by cmyb (also known as myb) expression. The umbrella of melanocytes associated with the haematopoietic niche is highly evolutionarily conserved in aquatic animals, including the sea lamprey, a basal vertebrate. During the transition from an aquatic to a terrestrial environment, HSPCs relocated into the bone marrow, which is protected from ultraviolet light by the cortical bone around the marrow. Our studies reveal that melanocytes above the haematopoietic niche protect HSPCs from ultraviolet-light-induced DNA damage in aquatic vertebrates and suggest that during the transition to terrestrial life, ultraviolet light was an evolutionary pressure affecting the location of the haematopoietic niche.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-018-0213-0","usgsCitation":"Kapp, F.G., Perlin, J.R., Hagedorn, E.J., Gansner, J.M., Schwarz, D.E., O’Connell, L.A., Johnson, N., Amemiya, C., Fisher, D.E., Wolfle, U., Trompouki, E., Niemeyer, C.M., Driever, W., and Zon, L.I., 2018, Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche: Nature, v. 558, p. 445-448, https://doi.org/10.1038/s41586-018-0213-0.","productDescription":"4 p.","startPage":"445","endPage":"448","onlineOnly":"N","ipdsId":"IP-094654","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468666,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6093292","text":"External Repository"},{"id":355014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"558","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e569e4b060350a15d12d","contributors":{"authors":[{"text":"Kapp, Friedrich G.","contributorId":205587,"corporation":false,"usgs":false,"family":"Kapp","given":"Friedrich","email":"","middleInitial":"G.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perlin, Julie R.","contributorId":205588,"corporation":false,"usgs":false,"family":"Perlin","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagedorn, Elliott J.","contributorId":205589,"corporation":false,"usgs":false,"family":"Hagedorn","given":"Elliott","email":"","middleInitial":"J.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gansner, John M.","contributorId":205590,"corporation":false,"usgs":false,"family":"Gansner","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":37119,"text":"Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":737914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwarz, Daniel E.","contributorId":205591,"corporation":false,"usgs":false,"family":"Schwarz","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":37120,"text":"U.S. Fish and Wildlife Service, Pvt. John Allen National Fish Hatchery","active":true,"usgs":false}],"preferred":false,"id":737915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Lauren A.","contributorId":205592,"corporation":false,"usgs":false,"family":"O’Connell","given":"Lauren","email":"","middleInitial":"A.","affiliations":[{"id":37121,"text":"FAS Center for Systems Biology, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Amemiya, Chris","contributorId":205593,"corporation":false,"usgs":false,"family":"Amemiya","given":"Chris","affiliations":[{"id":37122,"text":"Benaroya Research Institute and Department of Biology, University of Washington","active":true,"usgs":false}],"preferred":false,"id":737917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher, David E.","contributorId":205594,"corporation":false,"usgs":false,"family":"Fisher","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":37123,"text":"Cutaneous Biology Research Center, Massachusetts General Hospital and Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":737918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolfle, Ute","contributorId":205595,"corporation":false,"usgs":false,"family":"Wolfle","given":"Ute","email":"","affiliations":[{"id":37124,"text":"Department of Dermatology, Medical Center - University of Freiburg","active":true,"usgs":false}],"preferred":false,"id":737919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trompouki, Eirini","contributorId":205596,"corporation":false,"usgs":false,"family":"Trompouki","given":"Eirini","email":"","affiliations":[{"id":37125,"text":"Department of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics","active":true,"usgs":false}],"preferred":false,"id":737920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Niemeyer, Charlotte M.","contributorId":205597,"corporation":false,"usgs":false,"family":"Niemeyer","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":37126,"text":"Department of Pediatric Hematology and Oncology, Center for Pediatrics, Medical Center – University of Freiburg, Faculty of Medicine","active":true,"usgs":false}],"preferred":false,"id":737921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Driever, Wolfgang","contributorId":205598,"corporation":false,"usgs":false,"family":"Driever","given":"Wolfgang","email":"","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737922,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zon, Leonard I.","contributorId":205599,"corporation":false,"usgs":false,"family":"Zon","given":"Leonard","email":"","middleInitial":"I.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737923,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ]}