{"pageNumber":"667","pageRowStart":"16650","pageSize":"25","recordCount":184617,"records":[{"id":70222623,"text":"70222623 - 2020 - Near-fault velocity spectra from laboratory failures and their relation to natural ground motion","interactions":[],"lastModifiedDate":"2021-08-09T12:52:39.557852","indexId":"70222623","displayToPublicDate":"2019-10-24T07:51:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Near-fault velocity spectra from laboratory failures and their relation to natural ground motion","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We compared near-fault velocity spectra recorded during laboratory experiments to that of natural earthquakes. We fractured crystalline rock samples at room temperature and intermediate confining pressure (50 MPa). Subsequent slip events were generated on the fracture surfaces under higher confinement (300 MPa). Velocity spectra from rock fracture resemble the inverse frequency (1/<i>f</i>) decay of natural earthquake velocity. This spectrum can be attributed to fault creation via seismic fracturing over a wide range of spatial scales. In contrast, subsequent slips on the rough fracture surfaces are depleted in high frequency energy and falloff approximately as 1/<i>f</i><sup>2</sup>. The 1/<i>f</i><sup>2</sup><span>&nbsp;</span>spectrum is more consistent with a slider-block model obeying static-kinetic friction than a natural earthquake. The depleted high frequency content precludes the rough fault experiments from being directly analogous to natural sources. The suppression of high frequencies may have resulted from two possible factors: (1) the presence of a well-developed shear zone and coseismic damping of the fault motion by dissipation within it or, in our favored interpretation, (2) a smaller amount of energy dissipated by shearing relative to the total energy release at elevated confining pressure. In context of the latter explanation, a unifying concept that applies to these experiments, earthquakes, ground motion, and models of complex radiated motion is that high frequency radiated energy is relatively enhanced when total energy release is nearly balanced within the source region by dissipative processes. This near-critical energy release condition can be accessed at low normal stress in laboratory experiments.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB017638","usgsCitation":"Beeler, N.M., Lockner, D.A., Kilgore, B.D., and McClaskey, G., 2020, Near-fault velocity spectra from laboratory failures and their relation to natural ground motion: Journal of Geophysical Research, v. 125, no. 2, e2019JB017638, 27 p., https://doi.org/10.1029/2019JB017638.","productDescription":"e2019JB017638, 27 p.","ipdsId":"IP-099500","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":820799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaskey, Greg","contributorId":261921,"corporation":false,"usgs":false,"family":"McClaskey","given":"Greg","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":820802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217886,"text":"70217886 - 2020 - Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds","interactions":[],"lastModifiedDate":"2021-02-09T13:05:32.025768","indexId":"70217886","displayToPublicDate":"2019-10-24T06:59:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6495,"text":"JGR: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds","docAbstract":"<p><span>Effects of ambient decreases in N deposition on forest N cycling remain unclear as soils recover from acidic deposition. To investigate, repeated soil sampling data were related to deposition, vegetation, and stream data, for 2000–2015 in North and South Buck Creek watersheds, in the Adirondack region of New York, USA. In 63 other Adirondack streams, NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentrations were also compared between 2004–2005 and 2014–2015, and a link between soil calcium and stream NO</span><sub>3</sub><sup>−</sup><span>&nbsp;was investigated using data from 387 Adirondack streams that were sampled in either 2003–2005 or 2010–2011. No trends in N export or NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentrations were observed in either Buck watershed despite a 45% decrease in N deposition, although South Buck N export was 2 to 3 times higher than in North Buck, where 48% of deposited N was accounted for by accumulation in the upper soil. In marked contrast, the upper profile in South Buck showed a net loss of N. Increased decomposition appeared likely in South Buck as those soils are adjusted to lower levels of acidifying S deposition, whereas decomposition increases in North Buck were likely suppressed by high levels of natural organic acidity. Stream NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentrations in Buck watersheds bracketed regional results and were consistent with the regional streams that showed no overall change in NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentrations between 2004 and 2014. A negative correlation observed between NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentration and watershed buffering capacity expressed as the ratio of Ca</span><sup>2+</sup><span>&nbsp;to SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;also suggested that stream NO</span><sub>3</sub><sup>−</sup><span>&nbsp;concentrations were elevated where soil Ca depletion had occurred.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JG005036","usgsCitation":"Lawrence, G.B., Scanga, S.E., and Sabo, R.D., 2020, Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds: JGR: Biogeosciences, v. 125, no. 1, e2019JG005036, 18 p., https://doi.org/10.1029/2019JG005036.","productDescription":"e2019JG005036, 18 p.","ipdsId":"IP-098501","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jg005036","text":"Publisher Index Page"},{"id":383143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanga, Sara E. 0000-0003-4022-4167","orcid":"https://orcid.org/0000-0003-4022-4167","contributorId":178227,"corporation":false,"usgs":false,"family":"Scanga","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":810062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory,  301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":810063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206282,"text":"70206282 - 2020 - Plant community establishment in a coastal marsh restored using sediment additions","interactions":[],"lastModifiedDate":"2020-10-14T12:04:29.011341","indexId":"70206282","displayToPublicDate":"2019-10-23T13:26:33","publicationYear":"2020","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":"Plant community establishment in a coastal marsh restored using sediment additions","docAbstract":"<p><span>A goal of wetland restoration is the establishment of resilient plant communities that persist under a variety of environmental conditions. We investigated the role of intraspecific and interspecific variation on plant community establishment in a brackish marsh that had been restored by sediment addition. Plant growth, sediment accretion, and surface elevation change in planted, not-planted, and nearby reference sites (treatments) were compared. Four perennial macrophytes were planted:&nbsp;</span><i>Bolboschoenus robustus</i><span>,&nbsp;</span><i>Distichlis spicata</i><span>,&nbsp;</span><i>Phragmites australis</i><span>, and&nbsp;</span><i>Schoenoplectus californicus</i><span>. There was 100% survival of the planted species, and all exhibited rapid vegetative spread. Intraspecific variation in stem height and cover was identified, and interspecific comparisons also indicated differences in species cover. Treatment comparisons revealed that final total cover at not-planted sites was equivalent to that at reference sites, and was highest at planted sites where&nbsp;</span><i>P. australis</i><span>&nbsp;became dominant. Species richness was initially highest at the reference sites, but final richness was equivalent among treatments. Soil surface elevation was greater at planted compared to not-planted and reference sites. Because of the rapid cover and increased surface elevation generated by planted species, the resiliency of restored coastal marshes may be enhanced by plantings in areas where natural colonization is slow and subsidence is high.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01217-z","usgsCitation":"Howard, R., Rafferty, P.S., and Johnson, D.J., 2020, Plant community establishment in a coastal marsh restored using sediment additions: Wetlands, v. 40, p. 877-892, https://doi.org/10.1007/s13157-019-01217-z.","productDescription":"16 p.","startPage":"877","endPage":"892","ipdsId":"IP-109021","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458581,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-019-01217-z","text":"Publisher Index Page"},{"id":368713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379340,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VGVX76","text":"USGS data release","description":"USGS data release","linkHelpText":"Plant community establishment in a coastal marsh restored using sediment additions, Barataria Basin, Louisiana"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin, Bayou Dupont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.20050048828125,\n              29.60510327870869\n            ],\n            [\n              -90.05252838134766,\n              29.60510327870869\n            ],\n            [\n              -90.05252838134766,\n              29.750667073428268\n            ],\n            [\n              -90.20050048828125,\n              29.750667073428268\n            ],\n            [\n              -90.20050048828125,\n              29.60510327870869\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Rebecca 0000-0001-7264-4364","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":220082,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rafferty, Patricia S.","contributorId":220083,"corporation":false,"usgs":false,"family":"Rafferty","given":"Patricia","email":"","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Darren J. 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":220084,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","email":"","middleInitial":"J.","affiliations":[{"id":27063,"text":"Cherokee Nations Technology","active":true,"usgs":false}],"preferred":false,"id":774068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208058,"text":"70208058 - 2020 - Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","interactions":[],"lastModifiedDate":"2023-11-08T16:57:08.69022","indexId":"70208058","displayToPublicDate":"2019-10-23T07:00:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","docAbstract":"Linking fault behavior over many earthquake cycles to individual earthquake behavior is a primary goal in tectonic geomorphology, particularly across an entire plate boundary. Here, we examine the 1150-km-long, right-lateral Queen Charlotte-Fairweather fault system using comprehensive multibeam bathymetry data acquired along the Queen Charlotte Fault (QCF) offshore southeastern Alaska and western British Columbia. Fine-scale analysis of tectonic geomorphology allowed us to identify and reconstruct 184 strike-slip piercing points over a 630 km stretch of the QCF. Age constraints from glacial recession and offshore sedimentation patterns yield a consistent slip-rate of ∼50–57 mm/yr since ∼17–12 ka, the fastest rate for a continent-ocean strike-slip fault on Earth. These slip-rates equal or exceed estimates of Pacific-North America (PA-NA) relative motion from global plate reconstructions, indicating that PA-NA motion is highly localized. The QCF cuts the seafloor along a narrow and unusually straight trace for its entire length and multiple fault traces are observed only at local step-overs. The geometry and behavior of the QCF over many earthquake cycles is simple and typical of mature faults with relatively homogeneous stress fields. Since the QCF is the primary PA-NA plate boundary, we used the trace of the QCF to define the small circle path for relative plate motion and computed the associated Euler pole. Predicted along-strike obliquity variations based on the new pole agree with observed tectonic geomorphology and suggest that previous global plate reconstructions overestimated the degree of oblique convergence along the QCF. We also find that subtle, long-wavelength (75–150 km) bends and discrete step-overs appear to define the endpoints of M>7 earthquakes, suggesting that obliquity and resultant fault geometry may control rupture segmentation and asperity development. Lastly, the agreement between predicted obliquity and tectonic geomorphology along the entire length of QCF compelled a reevaluation of regional tectonic models. In the north, the eastern Yakatat Terrane appears to be translating northwest with the Pacific plate, and slip transferred from the QCF to the Fairweather Fault results in ∼20 mm/yr of convergence along the southern St. Elias mountains. In the south, we predict a reduced rate of convergence along the QCF west of Haida Gwaii (∼5–6 mm/yr of shortening, on average) relative to previous studies. Our results support a model for transpression and strike-slip partitioning along the edge of a hot and weak Pacific Plate, leading to crustal thickening and growth of the Queen Charlotte Terrace to the west of Haida Gwaii.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.115882","usgsCitation":"Brothers, D.S., Miller, N.C., Barrie, V., Haeussler, P., Greene, H.G., Andrews, B.D., Zielke, O., and Dartnell, P., 2020, Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology: Earth and Planetary Science Letters, no. 530, 115882, 16 p., https://doi.org/10.1016/j.epsl.2019.115882.","productDescription":"115882, 16 p.","ipdsId":"IP-112239","costCenters":[{"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":458583,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.115882","text":"Publisher Index Page"},{"id":371553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, British Columbia","otherGeospatial":"Queen Charlotte fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -133.4951629472878,\n              51.22355291983479\n            ],\n            [\n              -128.93798737425547,\n              52.061072194022785\n            ],\n            [\n              -134.9579573372683,\n              59.85011582268859\n            ],\n            [\n              -142.21165991313777,\n              60.39645421234209\n            ],\n            [\n              -133.4951629472878,\n              51.22355291983479\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"530","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":221807,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrie, Vaughn 0000-0001-9742-4325","orcid":"https://orcid.org/0000-0001-9742-4325","contributorId":221808,"corporation":false,"usgs":false,"family":"Barrie","given":"Vaughn","email":"","affiliations":[{"id":40433,"text":"NRCAN","active":true,"usgs":false}],"preferred":false,"id":780297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":780298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, H. Gary","contributorId":208568,"corporation":false,"usgs":false,"family":"Greene","given":"H.","email":"","middleInitial":"Gary","affiliations":[{"id":6751,"text":"Moss Landing Marine Laboratories","active":true,"usgs":false}],"preferred":false,"id":780299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zielke, Olaf 0000-0002-4797-0034","orcid":"https://orcid.org/0000-0002-4797-0034","contributorId":221809,"corporation":false,"usgs":false,"family":"Zielke","given":"Olaf","email":"","affiliations":[{"id":24561,"text":"KAUST","active":true,"usgs":false}],"preferred":false,"id":780301,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dartnell, Peter 0000-0002-9554-729X","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":208208,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780302,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70236855,"text":"70236855 - 2020 - Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018","interactions":[],"lastModifiedDate":"2022-09-20T11:47:52.692808","indexId":"70236855","displayToPublicDate":"2019-10-23T06:43:39","publicationYear":"2020","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":"Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018","docAbstract":"<p><span>This is a cursory study of the recorded responses of three buildings instrumented by the U.S. Geological Survey (USGS) in Anchorage, Alaska, during the&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">M</span><span id=\"MathJax-Span-5\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;7.1 earthquake of 30 November 2018. The earthquake caused the strongest shaking in Anchorage since the well‐known 1964&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-6\" class=\"math\"><span><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"msub\"><span id=\"MathJax-Span-9\" class=\"mi\">M</span><span id=\"MathJax-Span-10\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;9.2 Great Alaska earthquake. Since the 1964 event, several structures (buildings and bridges) in Anchorage have been instrumented by the USGS, and their responses have been recorded during multiple events. For each of the three buildings (the 14‐story Frontier Building, the 20‐story Atwood Building, and the 22‐story Hilton Hotel) studied herein, essential dynamic characteristics and significant behavioral aspects such as beating and torsional motions are identified. Recorded peak accelerations and displacements are provided, and average drift ratios are computed using the peak displacements at the roof levels with respect to the ground level. These average drift ratios imply that the motions are at levels expected not to cause damage to the buildings. Visualization videos of both the 14‐story Frontier and the 20‐story Atwood Buildings have been developed to display overall shaking of the buildings during the earthquake.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190220","usgsCitation":"Celebi, M., 2020, Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018: Seismological Research Letters, v. 91, no. 1, p. 56-65, https://doi.org/10.1785/0220190220.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-110486","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.962890625,\n              60.673178565817715\n            ],\n            [\n              -148.095703125,\n              60.673178565817715\n            ],\n            [\n              -148.095703125,\n              61.95961583829658\n            ],\n            [\n              -151.962890625,\n              61.95961583829658\n            ],\n            [\n              -151.962890625,\n              60.673178565817715\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209218,"text":"70209218 - 2020 - Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate","interactions":[],"lastModifiedDate":"2020-05-04T17:52:07.624597","indexId":"70209218","displayToPublicDate":"2019-10-21T13:34:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate","docAbstract":"South Florida resource management, particularly the Everglades restoration effort, is beginning to consider projections of precipitation from multiple climate models for decision-making.  Because precipitation changes can significantly affect the Everglades ecosystem, characterization of precipitation projection uncertainty is important for resource management decisions, and reduction of uncertainty is desired for better decision-making.  Though uncertainty of precipitation projections has been characterized for many regions, uncertainty has not been sufficiently quantified for south Florida.  This study builds upon prior results for projected Florida precipitation by adding recent climate model simulations, seasonal and spatial information, and uncertainty quantification and reduction.  We identify the multi-model mean change in south Florida precipitation and characterize the uncertainty of 37 statistically downscaled Coupled Model Intercomparison Project Phase 5 models.  For 2019−45, there is a likely (over 60% of ensemble members) increase in south Florida annual mean precipitation owing to a likely to very likely (near 90% of ensemble members) increase in dry season (November, December, January) precipitation, while wet season (June, July, August) shows a more likely than not (over 50% of ensemble members) decrease in precipitation in southern region and increase in precipitation in northern region. As south Florida agencies are on the verge of including precipitation projections in their upcoming planning horizon, this information will aid south Florida practitioners in decisions influenced by future rainfall.","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.6365","usgsCitation":"Infanti, J., Kirtman, B.P., Aumen, N., Stamm, J., and Polsky, C., 2020, Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate: International Journal of Climatology, v. 40, no. 5, p. 2764-2777, https://doi.org/10.1002/joc.6365.","productDescription":"14 p.","startPage":"2764","endPage":"2777","ipdsId":"IP-093799","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":467308,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/57234","text":"External Repository"},{"id":373482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"South Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.3974609375,\n              28.033197847676377\n            ],\n            [\n              -83.14453125,\n              28.07198030177986\n            ],\n            [\n              -83.1005859375,\n              27.371767300523047\n            ],\n            [\n              -83.1005859375,\n              26.54922257769204\n            ],\n            [\n              -81.8701171875,\n              25.681137335685307\n            ],\n            [\n              -81.2109375,\n              24.686952411999155\n            ],\n            [\n              -79.8486328125,\n              25.16517336866393\n            ],\n            [\n              -79.5849609375,\n              26.470573022375085\n            ],\n            [\n              -79.98046875,\n              27.839076094777816\n            ],\n            [\n              -82.3974609375,\n              28.033197847676377\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Infanti, Johnna 0000-0001-7572-6373","orcid":"https://orcid.org/0000-0001-7572-6373","contributorId":223551,"corporation":false,"usgs":false,"family":"Infanti","given":"Johnna","email":"","affiliations":[{"id":40739,"text":"University of Miami Rosenstiel School for Marine and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":785431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirtman, Ben P. 0000-0001-7423-2734","orcid":"https://orcid.org/0000-0001-7423-2734","contributorId":223552,"corporation":false,"usgs":false,"family":"Kirtman","given":"Ben","email":"","middleInitial":"P.","affiliations":[{"id":40740,"text":"University of Miami Rosenstiel School of Marine and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":785432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aumen, Nicholas 0000-0002-5277-2630","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":223550,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":785430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamm, John F. 0000-0002-3404-2933","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":204339,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polsky, Colin","contributorId":221205,"corporation":false,"usgs":false,"family":"Polsky","given":"Colin","affiliations":[],"preferred":false,"id":785434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224286,"text":"70224286 - 2020 - Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds","interactions":[],"lastModifiedDate":"2021-09-20T12:56:45.40967","indexId":"70224286","displayToPublicDate":"2019-10-21T07:55:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds","docAbstract":"<h3 id=\"ddi12995-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Predicting distributions is fundamental to ecology, yet hindered by spatially restricted sampling, scale-dependent relationships and detection error associated with field surveys. Predictive species distribution models (SDMs) are nonetheless vital for conservation of many species. We developed a framework for building predictive SDMs with multi-scale data and used it to develop range-wide breeding-season SDMs for 14 marsh bird species of concern.</p><h3 id=\"ddi12995-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>USA.</p><h3 id=\"ddi12995-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We built SDMs using data from range-wide surveys conducted over 14&nbsp;years, and habitat and disturbance covariates measured at multiple spatial scales. We built hierarchical occupancy models that included heterogeneity in detectability during sampling, and used Bayesian model selection to regulate model complexity (covariates and scales) based explicitly on spatial predictive abilities. We thus integrated model selection for optimizing out-of-sample prediction, range-wide sampling over broad conditions, multi-scale analyses and scale optimization, and species-specific detectability for a suite of wide-ranging species.</p><h3 id=\"ddi12995-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Distributions of marsh birds were affected by local wetland conditions, but also by agricultural, urban and hydrologic disturbances operating from local scales (100–500&nbsp;m) to the watershed level. Variables measuring human disturbances improved prediction for most species, and every species was affected by attributes at &gt;1 scale. Five species showed evidence for continental-scale range contraction during the study.</p><h3 id=\"ddi12995-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>We demonstrate how hierarchical occupancy models can be optimized for prediction across a species' range at the extent of a continent while also accounting for imperfect detection, and thus describe a generalizable approach that can be used for any species. We provide the first data-driven, empirical SDMs built at the range-wide extent for most of our 14 study species and demonstrate that previous studies focused on local distributions and the effects of fine-scale wetland vegetation missed important broadscale drivers of occupancy for marsh birds.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12995","usgsCitation":"Stevens, B.S., and Conway, C.J., 2020, Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds: Diversity and Distributions, v. 26, no. 1, p. 34-48, https://doi.org/10.1111/ddi.12995.","productDescription":"15 p.","startPage":"34","endPage":"48","ipdsId":"IP-105638","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12995","text":"Publisher Index Page"},{"id":389474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":823459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":823458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215321,"text":"70215321 - 2020 - Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","interactions":[],"lastModifiedDate":"2020-10-16T14:37:38.372809","indexId":"70215321","displayToPublicDate":"2019-10-20T09:25:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","docAbstract":"<ol class=\"\"><li>As ecosystems experience simultaneous disturbances, it is critical to understand how multiple stressors interact to affect ecological change. Land‐use change and extreme flow events are two important stressors that could interact to affect fish populations.</li><li>We evaluated the individual and interactive effects of discharge and land‐use change associated with oil and natural gas development on populations of two stream fishes over a 7‐year period. We used repeated‐state (i.e. abundance trends) and rate (i.e. colonization and persistence) responses to advance our understanding of flow‐ecology relationships in a multiple‐stressor framework.</li><li>Overall, fish abundance, colonization and persistence declined as discharge decreased. The effect of land‐use change associated with oil and natural gas development differed between species, with the abundance of Mottled Sculpin declining and Mountain Sucker increasing as land‐use change increased. We found both synergistic and antagonistic interactions between discharge and land‐use change. Land‐use change intensified the effect of low flows for Mottled Sculpin and lead to greater variability in responses to flow for Mountain Sucker. These differences between species' responses are likely due to differences in their physiological tolerances and behavioural adaptations to disturbance.</li><li><i>Synthesis and applications</i>. Our research provides empirical evidence for the complex interactions that can arise between discharge and anthropogenic land‐use change. Management efforts to reduce inputs of sediments and chemical contaminants associated with land‐use change (e.g. silt fences, vegetative buffers) and promote quality refuge habitats (i.e. in‐stream habitat restoration) could help mitigate the negative effects of low‐flow extremes on stream fishes. Further development of flow‐ecology relationships in a multiple‐stressor framework will help guide management of stream fishes, and provide a better understanding of the mechanisms underlying responses of different species.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13517","usgsCitation":"Walker, R., Girard, C., Alford, S., and Walters, A.W., 2020, Anthropogenic land‐use change intensifies the effect of low flows on stream fishes: Journal of Applied Ecology, v. 57, no. 1, p. 149-159, https://doi.org/10.1111/1365-2664.13517.","productDescription":"11 p.","startPage":"149","endPage":"159","ipdsId":"IP-105667","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13517","text":"Publisher Index Page"},{"id":379469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Upper Green River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.67724609375,\n              41.09591205639546\n            ],\n            [\n              -107.29248046875,\n              41.78769700539063\n            ],\n            [\n              -108.30322265624999,\n              42.407234661551875\n            ],\n            [\n              -110.14892578125,\n              43.229195113965005\n            ],\n            [\n              -110.58837890625,\n              43.213183300738876\n            ],\n            [\n              -110.9619140625,\n              42.391008609205045\n            ],\n            [\n              -111.181640625,\n              41.83682786072714\n            ],\n            [\n              -111.005859375,\n              41.1290213474951\n            ],\n            [\n              -110.98388671874999,\n              40.84706035607122\n            ],\n            [\n              -106.50146484374999,\n              40.9964840143779\n            ],\n            [\n              -106.67724609375,\n              41.09591205639546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H.","contributorId":224149,"corporation":false,"usgs":false,"family":"Walker","given":"Richard H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":801705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alford, Samantha L.","contributorId":243195,"corporation":false,"usgs":false,"family":"Alford","given":"Samantha L.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801707,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206418,"text":"70206418 - 2020 - Low streamflow trends at human-impacted and reference basins in the United States","interactions":[],"lastModifiedDate":"2019-11-04T14:42:50","indexId":"70206418","displayToPublicDate":"2019-10-18T14:36:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflow trends at human-impacted and reference basins in the United States","docAbstract":"We present a continent-scale exploration of trends in annual 7-day low streamflows at 2482 U.S. Geological Survey streamgages across the conterminous United States over the past 100, 75, and 50 years (1916–2015, 1941–2015 and 1966–2015). We used basin characteristics to identify subsets of study basins representative of reference basins with streamflow relatively free from human effects (n = 259), and predominantly agricultural basins (n = 78), regulated basins (n = 220), and urban basins (n = 121). Trend significance was computed using the Mann-Kendall test considering short- and long-term persistence. Lag-one autocorrelation tests of detrended 7-day low streamflows for all gage classes show that time-series independence is not an appropriate assumption for annual low streamflow data at many basins. Among all study gages, upward trends (wetter conditions) in 7-day low streamflows outnumbered downward trends (drier conditions) approximately 2–1 for the 75- and 100-year trend periods—50-year trends indicated roughly equal numbers of increases and decreases. Increases in 7-day low streamflow were consistently observed for all time periods throughout much of the northeastern quadrant of the conterminous U.S. including western New England and the Mid-Atlantic, the southeastern Great Lakes basin, northern Ohio River basin, and the Upper Mississippi River and eastern Missouri River basins. Decreases in 7-day low streamflow were consistently observed for all time periods at many gages in the southeastern U.S. and in the northwestern U.S. in much of Idaho and northwestern Washington. Overall, we observed greater percentages of statistically significant trends at gages with human-induced influences than at reference gages. Low-flow trends at agricultural gages were regionally consistent with trends at reference gages. Regulated basins had many statistically significant upward trends for all three time periods tested, which may be attributed in part to substantial increases in dam-related storage prior to 1970. Urban gages had the greatest percentage of significant decreases in 7-day low flows compared to all other gage classes even though most urban gages saw upward trends in mean annual flows. Urban gages also had the greatest percentage of significant increases in low flows second only to regulated gages, highlighting that urban development can increase or decrease low streamflows depending on the basin-specific development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124254","usgsCitation":"Dudley, R., Hirsch, R.M., Archfield, S.A., Blum, A., and Renard, B., 2020, Low streamflow trends at human-impacted and reference basins in the United States: Journal of Hydrology, v. 580, 124254, 13 p., https://doi.org/10.1016/j.jhydrol.2019.124254.","productDescription":"124254, 13 p.","ipdsId":"IP-098641","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":458591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.124254","text":"Publisher Index Page"},{"id":368934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                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         42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n   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,{"id":70203892,"text":"70203892 - 2020 - The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","interactions":[],"lastModifiedDate":"2019-12-03T10:47:43","indexId":"70203892","displayToPublicDate":"2019-10-18T10:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","docAbstract":"<p id=\"abspara0010\">A century ago, two Americans, Henry Stephens Washington and Frank Alvord Perret, made significant contributions to the geology, petrology, and volcanology of Italy, in particular to those volcanoes in the Naples area, Vesuvius, Campi Flegrei (Phlegraean Fields), and the Island of Ischia. Both were from the eastern United States, both were born in 1867, and both studied physics as undergraduates. However, each man followed a different scientific path and approach in his volcanological studies. Washington was classically trained and more interested in rock chemistry, mineralogy, and petrogenesis. Perret was a gifted inventor, worked in Edison's laboratory, established his own company, and was a keen observer of volcanic phenomena and processes; today he would be called a “physical volcanologist” Each man published classic works on Italian volcanoes,<span>&nbsp;</span><i>The Roman Comagmatic Region</i><span>&nbsp;</span>(Washington, 1906) and<span>&nbsp;</span><i>The Vesuvius Eruption of 1906</i><span>&nbsp;</span>(Perret, 1924); both were published by the Carnegie Institution of Washington. However, both men had cosmopolitan tastes for other volcanoes, and they traveled widely and made significant contributions to the knowledge of other volcanic areas.</p><p id=\"abspara0015\">The following two sections present, albeit briefly, their work, significance, and influence to Italian volcanism with emphasis on those volcanoes in the Naples area.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Vesuvius, Campi Flegrei, and Campanian Volcanism","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-816454-9.00002-X","isbn":"9780128164549","usgsCitation":"Belkin, H.E., and Gidwitz, T., 2020, The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area, chap. 2 <i>of</i> Vesuvius, Campi Flegrei, and Campanian Volcanism, p. 9-32, https://doi.org/10.1016/B978-0-12-816454-9.00002-X.","productDescription":"24 p.","startPage":"9","endPage":"32","ipdsId":"IP-103762","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Naples","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              13.903198242187498,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              40.49500373230525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belkin, Harvey E. 0000-0001-7879-6529","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":190267,"corporation":false,"usgs":false,"family":"Belkin","given":"Harvey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":764614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gidwitz, Tom","contributorId":216357,"corporation":false,"usgs":false,"family":"Gidwitz","given":"Tom","email":"","affiliations":[{"id":33295,"text":"independent consultant","active":true,"usgs":false}],"preferred":false,"id":764615,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227117,"text":"70227117 - 2020 - Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake","interactions":[],"lastModifiedDate":"2021-12-30T16:27:22.960232","indexId":"70227117","displayToPublicDate":"2019-10-18T10:19:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake","docAbstract":"<p><span>Yellowstone Lake is the site of actions to suppress invasive Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;and restore native Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;and natural ecosystem function. Although gill netting is effective (Lake Trout λ&nbsp;≤&nbsp;0.6 from 2012 through 2018), the effort costs more than US$2 million annually and only targets Lake Trout age 2 and older. To increase suppression efficiency, we developed an alternative method using organic (soy and wheat) pellets to increase mortality of Lake Trout embryos on spawning sites. Decomposition of pellets during two in&nbsp;situ experiments caused dissolved oxygen (DO) concentrations to temporarily decline to lethal levels (&lt;3.4&nbsp;mg/L) within days of application. Embryo mortalities during the first exposure period (days 1–6 following application) were high at all treatment levels (1.75–28.0&nbsp;kg/m</span><sup>2</sup><span>) at the substrate surface and within interstices 20&nbsp;cm below the surface, varying from 97&nbsp;±&nbsp;1.8% (mean ± SE) to 100&nbsp;±&nbsp;0.0%, but may have been enhanced by a handling effect (exposure to sunlight). Embryo mortalities during the second exposure period (days 11–22) were highest 20&nbsp;cm below the surface, varying from 78&nbsp;±&nbsp;9.7% to 100&nbsp;±&nbsp;0.0%. Almost all (98&nbsp;±&nbsp;3.1%) Lake Trout embryos died after exposure to DO&nbsp;&lt;&nbsp;3.4&nbsp;mg/L for &gt;200&nbsp;h during the second period. Pellets caused lethal DO for several weeks below the substrate surface, despite largely dissolving and dissipating from the surface of treated areas by day 39. Broad-scale application of pellets at 1.75&nbsp;kg/m</span><sup>2</sup><span>&nbsp;following the spawning period in autumn may reduce Lake Trout recruitment and enhance population suppression because the area of 14 verified spawning sites is only 11.4&nbsp;ha (0.03% of lake surface area). Pellet application may be useful in other similar systems as part of an integrated pest management approach targeting multiple life stages of invasive freshwater fish.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10208","usgsCitation":"Koel, T., Thomas, N.A., Guy, C.S., Doepke, P.D., MacDonald, D.J., Poole, A.S., Sealey, W.M., and Zale, A.V., 2020, Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake: Transactions of the American Fisheries Society, v. 149, no. 1, p. 57-70, https://doi.org/10.1002/tafs.10208.","productDescription":"14 p.","startPage":"57","endPage":"70","ipdsId":"IP-107137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":458597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10208","text":"Publisher Index Page"},{"id":393651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.60211181640624,\n              44.28158729232232\n            ],\n            [\n              -110.15716552734375,\n              44.28158729232232\n            ],\n            [\n              -110.15716552734375,\n              44.58068656459206\n            ],\n            [\n              -110.60211181640624,\n              44.58068656459206\n            ],\n            [\n              -110.60211181640624,\n              44.28158729232232\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Koel, Todd M.","contributorId":270657,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Nathan A.","contributorId":270658,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","email":"","middleInitial":"A.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":829705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":829702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doepke, Philip D.","contributorId":270659,"corporation":false,"usgs":false,"family":"Doepke","given":"Philip","email":"","middleInitial":"D.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacDonald, Drew J.","contributorId":270660,"corporation":false,"usgs":false,"family":"MacDonald","given":"Drew","email":"","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poole, Alex S.","contributorId":270661,"corporation":false,"usgs":false,"family":"Poole","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":829708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sealey, Wendy M.","contributorId":270662,"corporation":false,"usgs":false,"family":"Sealey","given":"Wendy","email":"","middleInitial":"M.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":829709,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":829703,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208111,"text":"70208111 - 2020 - Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales","interactions":[],"lastModifiedDate":"2020-01-29T16:13:47","indexId":"70208111","displayToPublicDate":"2019-10-15T18:56:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Urbanization reduces genetic connectivity in bobcats (<i>Lynx rufus</i>) at both intra- and interpopulation spatial scales","title":"Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales","docAbstract":"<p>Urbanization is a major factor driving habitat fragmentation and connectivity loss in wildlife. However, the impacts of urbanization on connectivity can vary among species and even populations due to differences in local landscape characteristics, and our ability to detect these relationships may depend on the spatial scale at which they are measured. Bobcats (<i>Lynx rufus</i>) are relatively sensitive to urbanization and the status of bobcat populations is an important indicator of connectivity in urban coastal southern California. We genotyped 271 bobcats at 13,520 SNP loci to conduct a replicated landscape resistance analysis in five genetically distinct populations. We tested urban and natural factors potentially influencing individual connectivity in each population separately, as well as study–wide. Overall, landscape genomic effects were most frequently detected at the study–wide spatial scale, with urban land cover (measured as impervious surface) having negative effects and topographic roughness having positive effects on gene flow. The negative effect of urban land cover on connectivity was also evident when populations were analyzed separately despite varying substantially in spatial area and the proportion of urban development, confirming a pervasive impact of urbanization largely independent of spatial scale. The effect of urban development was strongest in one population where stream habitat had been lost to development, suggesting that riparian corridors may help mitigate reduced connectivity in urbanizing areas. Our results demonstrate the importance of replicating landscape genetic analyses across populations and considering how landscape genetic effects may vary with spatial scale and local landscape structure.</p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.15274","usgsCitation":"Kozakiewicz, C.P., Burridge, C.P., Funk, W.C., Salerno, P.E., Trumbo, D.R., Gagne, R.B., Boydston, E.E., Fisher, R.N., Lyren, L.M., Jennings, M.K., Riley, S.P., Serieys, L., VandeWoude, S., Crooks, K.R., and Carver, S., 2020, Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales: Molecular Ecology, v. 28, no. 23, p. 5068-5085, https://doi.org/10.1111/mec.15274.","productDescription":"18 p.","startPage":"5068","endPage":"5085","ipdsId":"IP-102669","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.68554687499999,\n              32.43561304116276\n            ],\n            [\n              -115.75195312499999,\n              32.76880048488168\n            ],\n            [\n              -116.103515625,\n              34.08906131584994\n            ],\n            [\n              -119.0478515625,\n              36.03133177633187\n            ],\n            [\n              -121.904296875,\n              37.68382032669382\n            ],\n            [\n              -122.4755859375,\n              38.41055825094609\n            ],\n            [\n              -123.48632812499999,\n              37.47485808497102\n            ],\n            [\n              -121.46484375,\n              34.70549341022544\n            ],\n            [\n              -119.3115234375,\n              33.100745405144245\n            ],\n            [\n              -117.68554687499999,\n              32.43561304116276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"23","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozakiewicz, Christpher P.","contributorId":221853,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Christpher","email":"","middleInitial":"P.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":780507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burridge, Christopher P.","contributorId":221854,"corporation":false,"usgs":false,"family":"Burridge","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":780508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salerno, Patricia E.","contributorId":221855,"corporation":false,"usgs":false,"family":"Salerno","given":"Patricia","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumbo, Daryl R.","contributorId":212119,"corporation":false,"usgs":false,"family":"Trumbo","given":"Daryl","email":"","middleInitial":"R.","affiliations":[{"id":38416,"text":"Department of Biology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gagne, Roderick B.","contributorId":212110,"corporation":false,"usgs":false,"family":"Gagne","given":"Roderick","email":"","middleInitial":"B.","affiliations":[{"id":38413,"text":"Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780505,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":780506,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jennings, Megan K.","contributorId":221856,"corporation":false,"usgs":false,"family":"Jennings","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780514,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riley, Seth P. D.","contributorId":208334,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","email":"","middleInitial":"P. D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":780515,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Serieys, Laurel E.K.","contributorId":86695,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel E.K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":780516,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"VandeWoude, Sue","contributorId":212137,"corporation":false,"usgs":false,"family":"VandeWoude","given":"Sue","email":"","affiliations":[{"id":38434,"text":"College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780517,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780518,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":780519,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70215279,"text":"70215279 - 2020 - Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2020-10-16T11:53:56.257709","indexId":"70215279","displayToPublicDate":"2019-10-14T14:14:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","docAbstract":"Coastal systems in the Gulf of Mexico are threatened by reduced sediment supply, storm impacts and relative sea-level rise (RSLR). The geologic record provides insight into geomorphic evolution thresholds to these forcing mechanisms to help predict future barrier evolution in response to climate change. This study synthesizes ∼2100 km of geophysical data, 700 + sediment cores, and 62 radiocarbon dates to regionally map two lowstand sequence boundaries, multiple ravinement surfaces and fourteen depositional facies demonstrating stratigraphic and antecedent topographic influences on coastal evolution. The Mississippi-Alabama (MSAL) barriers are anchored by a marine isotope stage (MIS) 5e section of Dauphin Island coupled with an MIS 2 surface gradient change. Sand for the modern MSAL barriers were largely sourced through Holocene transgressive ravinement of relict valley fill deposits, providing up to 300 × 106 m3 of sand. Mud-filled MIS 2 tributaries correspond to areas of repeated storm breaching or tidal inlets.\n\nA Holocene geomorphic evolutionary model was created for Petit Bois and Dauphin Islands, highlighting RSLR rates, changes in sediment supply and the antecedent geologic framework. As the MIS 2 surface was flooded, tidal/wave scour supplied sand to migrating marine shoals. These transgressing shoals converted drowned paleovalleys to estuaries ∼9ka BP. Islands formed in their modern positions ∼6ka BP, when sediment supply was high and RSLR rates were 2 mm/yr. Between ∼4ka-1750 CE, islands prograded from reduced RSLR rates of 1-0.4 mm/yr and sufficient sand supply from alongshore/inner shelf sources. Currently, the islands experience 3.74 mm/yr of RSLR and reduced sediment supply, resulting in barrier degradation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.105910","usgsCitation":"Hollis, R.S., Wallace, D.J., Miner, M.D., Gal, N.S., Dike, C.H., and Flocks, J., 2020, Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA: Quaternary Science Reviews, v. 223, 105910, 24 p., https://doi.org/10.1016/j.quascirev.2019.105910.","productDescription":"105910, 24 p.","ipdsId":"IP-104001","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488434,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://aquila.usm.edu/masters_theses/598","text":"External Repository"},{"id":379381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"North-Central Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.40673828125,\n              29.897805610155874\n            ],\n            [\n              -87.01171875,\n              29.897805610155874\n            ],\n            [\n              -87.01171875,\n              30.694611546632277\n            ],\n            [\n              -89.40673828125,\n              30.694611546632277\n            ],\n            [\n              -89.40673828125,\n              29.897805610155874\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollis, Robert S","contributorId":243055,"corporation":false,"usgs":false,"family":"Hollis","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Davin J","contributorId":243056,"corporation":false,"usgs":false,"family":"Wallace","given":"Davin","email":"","middleInitial":"J","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miner, Michael D","contributorId":243057,"corporation":false,"usgs":false,"family":"Miner","given":"Michael","email":"","middleInitial":"D","affiliations":[{"id":48626,"text":"The Water Institute of the Gulf, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":801453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gal, Nina S","contributorId":243058,"corporation":false,"usgs":false,"family":"Gal","given":"Nina","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dike, Clayton H","contributorId":243059,"corporation":false,"usgs":false,"family":"Dike","given":"Clayton","email":"","middleInitial":"H","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":801456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219053,"text":"70219053 - 2020 - Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","interactions":[],"lastModifiedDate":"2021-03-22T13:08:22.48094","indexId":"70219053","displayToPublicDate":"2019-10-14T08:01:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">To better understand evolution of oil-prone sedimentary organic matter to petroleum and expulsion from source rock, we evaluated organic petrographic features of Leonardian Wolfcamp A repetitive siliceous and calcareous mudrock and fine-grained carbonate lithofacies cycles occurring in the R. Ricker #1 core from Reagan County, Midland Basin, Texas. The objectives of the petrographic investigation were to estimate thermal maturity, identify organic matter types and abundances, and identify the presence or absence of migrated hydrocarbons in organic-lean carbonate layers. An integrated analytical program included geochemical screening [total organic carbon (TOC) content by LECO, programmed pyrolysis by hydrocarbon analyzer with kinetics (HAWK) including analysis of solvent-extracted samples], X-ray diffraction mineralogy, organic petrography, scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS) including correlative light and electron microscopy (CLEM), and micro-Fourier transform infrared spectroscopy (μ-FTIR) analyses of solid bitumen. The data indicate all samples are early to middle oil window thermal maturity with solid bitumen reflectance (BR<sub>o</sub>) values of 0.55–0.86% and T<sub>max</sub><span>&nbsp;</span>of 440–455 °C. Organic matter is predominantly solid bitumen (as identified by optical microscopy) in all lithofacies with minor contributions from inertinite. Solid bitumen abundance decreases from siliceous mudrock (TOC &gt;3.0 wt%) to calcareous mudrock (TOC 1.0 to 3.0 wt%) to fine-grained carbonate (TOC &lt;1.0 wt%) lithofacies. Interpretations of petrographic data suggest siliceous and calcareous mudrocks are source rock lithofacies and contain solid bitumen (with petroleum generation potential) that is residual (what remains) from conversion of an original Type II sedimentary organic matter. In turn, fine-grained carbonates are interpreted as reservoir lithofacies which contained little or no original oil-prone sedimentary organic matter and at present-day contain only a minor component of migrated solid petroleum sourced from adjacent siliceous and calcareous mudrock lithofacies. This work helps to document petroleum generation and migration processes, improve unconventional reservoir characterization and better define areas of oil window thermal maturity in an area critical to United States hydrocarbon production.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104086","usgsCitation":"Hackley, P.C., Zhang, T., Jubb, A., Valentine, B.J., Dulong, F.T., and Hatcherian, J.J., 2020, Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window: Marine and Petroleum Geology, v. 112, 104086, 15 p., https://doi.org/10.1016/j.marpetgeo.2019.104086.","productDescription":"104086, 15 p.","ipdsId":"IP-103969","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458604,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2019.104086","text":"Publisher Index Page"},{"id":437209,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P923A75B","text":"USGS data release","linkHelpText":"Organic Petrography and Diagenesis of Leonardian Mudrocks and Carbonates, Midland Basin, Texas (2018)"},{"id":384535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Midland basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.88671875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              30.372875188118016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":225214,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":41078,"text":"Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":812603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":812611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209714,"text":"70209714 - 2020 - Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","interactions":[],"lastModifiedDate":"2020-04-22T15:12:21.25753","indexId":"70209714","displayToPublicDate":"2019-10-12T10:01:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"displayTitle":"Climate teleconnections synchronize <i>Picea glauca</i> masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","title":"Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","docAbstract":"<ol class=\"\"><li>Synchronous pulses of seed masting and natural disturbance have positive feedbacks on the reproduction of masting species in disturbance‐prone ecosystems. We test the hypotheses that disturbances and proximate causes of masting are correlated, and that their large‐scale synchrony is driven by similar climate teleconnection patterns at both inter‐annual and decadal time scales.</li><li>Hypotheses were tested on white spruce (<i>Picea glauca</i>), a masting species which surprisingly persists in fire‐prone boreal forests while lacking clear fire adaptations. We built masting, drought and fire indices at regional (Alaska, Yukon, Alberta, Quebec) and sub‐continental scales (western North America) spanning the second half of the 20th century. Superposed Epoch Analysis tested the temporal associations between masting events, drought and burnt area at the regional scale. At the sub‐continental scale, Superposed Epoch Analysis tested whether El Niño‐Southern Oscillation (ENSO) and its coupled effects with the Atlantic Multidecadal Oscillation (AMO) in the positive phase (AMO+/ENSO+) synchronize drought, burnt area and masting. We additionally tested the consistency of our synchronization hypotheses on a decadal temporal scale to verify whether long‐term oscillations in AMO+/ENSO+ are coherent to decadal variation in drought, burnt area and masting.</li><li>Analyses demonstrated synchronicity between drought, fire and masting. In all regions the year before a mast event was drier and more fire‐prone than usual. During AMO+/ENSO+ events sub‐continental indices of drought and burnt area experienced significant departures from mean values. The same was observed for large‐scale masting in the subsequent year, confirming 1‐year lag between fire and masting. Sub‐continental indices of burnt area and masting showed in‐phase decadal fluctuations led by the AMO+/ENSO+. Results support the ‘Environmental prediction hypothesis’ for mast seeding.</li><li><i>Synthesis</i>. We provide evidence of large‐scale synchronicity between seed masting in<span>&nbsp;</span><i>Picea glauca</i><span>&nbsp;</span>and fire regimes in boreal forests of western North America at both inter‐annual and decadal time scales. We conclude that seed production in white spruce predicts changes in disturbance regimes by sharing the same large‐scale climate drivers with drought and fire. This gives new insides in a mechanism providing a fire‐sensitive species with higher than expected adaptability to changes in climate.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13308","collaboration":"","usgsCitation":"Ascoli, D., Hacket-Pain, A., LaMontagne, J., Cardil, A., Conedera, M., Maringer, J., Motta, R., Pearse, I., and Vacchiano, G., 2020, Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction, v. 108, no. 3, p. 1186-1198, https://doi.org/10.1111/1365-2745.13308.","productDescription":"9 p.","startPage":"1186","endPage":"1198","ipdsId":"IP-112277","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458606,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13308","text":"Publisher Index Page"},{"id":437210,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IT5P5F","text":"USGS data release","linkHelpText":"Long term cone production of white spruce throughout boreal forests in North America"},{"id":374191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Alberta, Quebec, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.40917968749999,\n              46.6795944656402\n            ],\n            [\n              -70.13671875,\n              46.6795944656402\n            ],\n            [\n              -70.13671875,\n              49.92293545449574\n            ],\n            [\n              -79.40917968749999,\n     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    \"coordinates\": [\n          [\n            [\n              -158.203125,\n              59.84481485969105\n            ],\n            [\n              -128.583984375,\n              59.84481485969105\n            ],\n            [\n              -128.583984375,\n              69.2249968541159\n            ],\n            [\n              -158.203125,\n              69.2249968541159\n            ],\n            [\n              -158.203125,\n              59.84481485969105\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":787641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":787642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaMontagne, Jalene M.","contributorId":224291,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":787643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cardil, Adrian","contributorId":224292,"corporation":false,"usgs":false,"family":"Cardil","given":"Adrian","email":"","affiliations":[{"id":40849,"text":"University of Lleida","active":true,"usgs":false}],"preferred":false,"id":787644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conedera, Marco 0000-0003-3980-2142","orcid":"https://orcid.org/0000-0003-3980-2142","contributorId":194727,"corporation":false,"usgs":false,"family":"Conedera","given":"Marco","email":"","affiliations":[],"preferred":false,"id":787645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maringer, Janet","contributorId":224293,"corporation":false,"usgs":false,"family":"Maringer","given":"Janet","email":"","affiliations":[{"id":40850,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research","active":true,"usgs":false}],"preferred":false,"id":787646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Motta, Renzo","contributorId":224294,"corporation":false,"usgs":false,"family":"Motta","given":"Renzo","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":787647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":787648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":787649,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70215095,"text":"70215095 - 2020 - Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","interactions":[],"lastModifiedDate":"2020-10-08T13:46:51.750002","indexId":"70215095","displayToPublicDate":"2019-10-11T08:38:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","docAbstract":"<p><span>Degradation of wetland ecosystems has negatively impacted many species, perhaps none more so than marsh birds that breed in vegetative emergent wetlands throughout North America. The U.S. Department of Defense manages approximately 29 million acres of land within the continental U.S., and many military installations contain wetland complexes that may be important for wetland birds. Thus, failure to adequately manage habitat for marsh birds could result in species extirpations and additional listings under the Endangered Species Act, and may result in regulatory burdens that reduce military readiness. We conducted spatial analyses to identify important breeding habitat on &gt; 500 military installations for 12 species of marsh birds, with the goal of identifying installations that are, and are not, likely to harbor breeding habitat for each species. We also sought to assess the local value of military installations for species of greatest concern by comparing habitat suitability within installations to that in areas directly adjacent to those sites. We built range-wide, spatially-explicit models of species distribution to project suitability of breeding habitat for marsh birds within and adjacent to military installations. Our results demonstrate that installations with the best marsh bird habitat are geographically aggregated (both among and within species), primarily at sites along the eastern seaboard and within the southern U.S. In addition, only a few sites appear to contain high-quality habitat for most species. Five or fewer sites contained most of the high-quality habitat for 9 of 12 species, whereas most of the high-quality habitat for remaining species was found at ≤ 10 sites. This work fills an information gap regarding the distribution of breeding habitat for marsh birds on military lands across the U.S., and should facilitate both strategic conservation of habitat over broad scales and the integration of marsh birds into management efforts at the site level. Our analyses also identify installations that are&nbsp;</span><i>not</i><span>&nbsp;likely to harbor breeding habitat for priority species, and thus should help minimize conflicts between needs of the military and marsh-bird conservation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2019.109664","usgsCitation":"Stevens, B.S., and Conway, C.J., 2020, Identifying important military installations for continental-scale conservation of marsh bird breeding habitat: Journal of Environmental Management, v. 252, 109664, 8 p., https://doi.org/10.1016/j.jenvman.2019.109664.","productDescription":"109664, 8 p.","ipdsId":"IP-105637","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2019.109664","text":"Publisher Index Page"},{"id":379228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Continental United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                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S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":800825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":800826,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223156,"text":"70223156 - 2020 - PFHydro: A new watershed-scale model for post-fire runoff simulation","interactions":[],"lastModifiedDate":"2021-08-12T12:16:02.699645","indexId":"70223156","displayToPublicDate":"2019-10-11T07:09:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"PFHydro: A new watershed-scale model for post-fire runoff simulation","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Runoff increases after wildfires that burn vegetation and create a condition of soil-water repellence (SWR). A new post-fire watershed hydrological model, PFHydro, was created to explicitly simulate vegetation interception and SWR effects for four burn severity categories: high, medium, low severity and unburned. The model was applied to simulate post-fire runoff from the Upper Cache Creek Watershed in California, USA. Nash–Sutcliffe modeling efficiency (NSE) was used to assess model performance. The NSE was 0.80 and 0.88 for pre-fire water years (WY) 2000 and 2015, respectively. NSE was 0.88 and 0.93 for WYs 2016 (first year post-fire) and 2017 respectively. The simulated percentage of surface runoff in total runoff of WY 2016 was about six times that of pre-fire WY 2000 and three times that of WY 2015. The modeling results suggest that SWR is an important factor for post-fire runoff generation. The model was successful at simulating SWR behavior.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.104555","usgsCitation":"Wang, J., Stern, M.A., King, V.M., Alpers, C.N., Quinn, N.W., Flint, A.L., and Flint, L.E., 2020, PFHydro: A new watershed-scale model for post-fire runoff simulation: Environmental Modelling and Software, v. 123, 104555, 15 p., https://doi.org/10.1016/j.envsoft.2019.104555.","productDescription":"104555, 15 p.","ipdsId":"IP-108679","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458612,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1580997","text":"External Repository"},{"id":387891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper Cache Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.541259765625,\n              38.16911413556086\n            ],\n            [\n              -121.1572265625,\n              38.16911413556086\n            ],\n            [\n              -121.1572265625,\n              39.410733055084954\n            ],\n            [\n              -123.541259765625,\n              39.410733055084954\n            ],\n            [\n              -123.541259765625,\n              38.16911413556086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jun","contributorId":97457,"corporation":false,"usgs":false,"family":"Wang","given":"Jun","email":"","affiliations":[],"preferred":false,"id":821124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Vanessa M. 0000-0002-3406-725X","orcid":"https://orcid.org/0000-0002-3406-725X","contributorId":264214,"corporation":false,"usgs":false,"family":"King","given":"Vanessa","email":"","middleInitial":"M.","affiliations":[{"id":27611,"text":"US Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":821126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinn, Nigel W. T. 0000-0003-3333-4763","orcid":"https://orcid.org/0000-0003-3333-4763","contributorId":248854,"corporation":false,"usgs":false,"family":"Quinn","given":"Nigel","email":"","middleInitial":"W. T.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":821128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":821129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821130,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207153,"text":"70207153 - 2020 - Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data","interactions":[],"lastModifiedDate":"2020-02-06T11:05:05","indexId":"70207153","displayToPublicDate":"2019-10-09T19:57:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data","docAbstract":"The recovery of natural ecological processes after disturbance is poorly understood. Some disturbances may be so severe as to set ecosystems onto a new trajectory.  The Canaan Valley National Wildlife Refuge in West Virginia protects a unique high-altitude wetland that was heavily disturbed by logging 100 years BP and has since transitioned to a new ecological state (shrub wetland). Refuge managers interested in preserving and restoring ecosystem states expressed concerned about lingering impacts of previous disturbances (logging, railroads, beaver, deer, fire). Available data suggested hydrologic impacts from the remnant rail grade but managers had insufficient quantitative data to assess these impacts.  We initiated a fine scale assessment of topography, vegetation distribution, and hydrology to assess impacts from the remnant rail grade using lidar data, vegetation surveys, and piezometers.  We developed topographic models, hydrological models, and mapped vegetation distribution. We developed statistical models to assess relationships between vegetation communities, hydrology, and distance to the rail grade. Surprisingly, we found that hydrologic flow paths did not conform to expectation and were not restricted by remnant land use features.  For the most part, vegetation communities are responding to topographic and environmental gradients that existed prior to disturbance.  Use of highly detailed topographic data (lidar), field hydrology, and vegetation studies allowed us to more accurately assess hydrologic and vegetation regimes, eliminating the need for mitigation, saving significant resources.","language":"English","publisher":"Wiley","doi":"10.1111/rec.13061","usgsCitation":"Young, J.A., Welsch, D., and Deacon, S., 2020, Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data: Restoration Ecology, v. 28, no. 1, p. 51-62, https://doi.org/10.1111/rec.13061.","productDescription":"12 p.","startPage":"51","endPage":"62","ipdsId":"IP-108544","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437211,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KUATM7","text":"USGS data release","linkHelpText":"Environmental data collected at piezometer field plot locations used to study hydrologic impacts on vegetation due to historic rail road embankment at Canaan Valley NWR"},{"id":370120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Tucker County","otherGeospatial":"Canaan 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,{"id":70205935,"text":"70205935 - 2020 - Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","interactions":[],"lastModifiedDate":"2020-01-20T12:16:24","indexId":"70205935","displayToPublicDate":"2019-10-09T13:33:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","docAbstract":"Green stormwater infrastructure implementation in urban watersheds has outpaced our understanding of practice effectiveness on streamflow response to precipitation events. Long‐term monitoring of experimental urban watersheds in Clarksburg, Maryland, USA, provided an opportunity to examine changes in event‐based streamflow metrics in two treatment watersheds that transitioned from agriculture to suburban development with a high density of infiltration‐focused stormwater control measures (SCMs). Urban Treatment 1 has predominantly single family detached housing with 33% impervious cover and 126 SCMs. Urban Treatment 2 has a mix of single family detached and attached housing with 44% impervious cover and 219 SCMs. Differences in streamflow‐event magnitude and timing were assessed using a before‐after‐control‐reference‐impact design to compare urban treatment watersheds to a forested control and an urban control with detention‐focused SCMs. Streamflow and precipitation events were identified from 14 years of sub‐daily monitoring data with an automated approach to characterize peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, rise rate, and precipitation depth for each event. Results indicated that streamflow magnitude and timing were altered by urbanization in the urban treatment watersheds, even with SCMs treating 100% of the impervious area. The largest hydrologic changes were observed in streamflow magnitude metrics, with greater hydrologic change in Urban Treatment 2 compared to Urban Treatment 1. While streamflow changes were observed in both urban treatment watersheds, SCMs were able to mitigate peak flows and runoff volumes compared to the urban control. The urban control had similar impervious cover to Urban Treatment 2, but Urban Treatment 2 had more than twice the precipitation depth needed to initiate a flow response and lower median peak flow and runoff yield for events less than 20 mm. Differences in impervious cover between the Urban Treatment watersheds appeared to be a large driver of differences in streamflow response, rather than SCM density. Overall, use of infiltration‐focused SCMs implemented at a watershed‐scale did provide enhanced attenuation of peak flow and runoff volumes compared to centralized‐detention SCMs.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13593","usgsCitation":"Hopkins, K.G., Bhaskar, A.S., Woznicki, S., and Fanelli, R., 2020, Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management: Hydrological Processes, v. 34, no. 2, p. 387-403, https://doi.org/10.1002/hyp.13593.","productDescription":"17 p.","startPage":"387","endPage":"403","ipdsId":"IP-108936","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":458618,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":772953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woznicki, Sean","contributorId":218281,"corporation":false,"usgs":false,"family":"Woznicki","given":"Sean","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":772954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207292,"text":"70207292 - 2020 - Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests","interactions":[],"lastModifiedDate":"2020-01-08T14:35:48","indexId":"70207292","displayToPublicDate":"2019-10-09T10:22:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests","docAbstract":"<p>Functional responses describe how changing resource availability affects consumer resource use, thus providing a mechanistic approach to prediction of the invasibility and potential damage of invasive alien species (IAS). However, functional responses can be context dependent, varying with resource characteristics and availability, consumer attributes, and environmental variables. Identifying context dependencies can allow invasion and damage risk to be predicted across different ecoregions. Understanding how ecological factors shape the functional response in agro‐ecosystems can improve predictions of hotspots of highest impact and inform strategies to mitigate damage across locations with varying crop types and availability. We linked heterogeneous movement data across different agro‐ecosystems to predict ecologically driven variability in the functional responses. We applied our approach to wild pigs (<i>Sus scrofa</i>), one of the most successful and detrimental IAS worldwide where agricultural resource depredation is an important driver of spread and establishment. We used continental‐scale movement data within agro‐ecosystems to quantify the functional response of agricultural resources relative to availability of crops and natural forage. We hypothesized that wild pigs would selectively use crops more often when natural forage resources were low. We also examined how individual attributes such as sex, crop type, and resource stimulus such as distance to crops altered the magnitude of the functional response. There was a strong agricultural functional response where crop use was an accelerating function of crop availability at low density (Type III) and was highly context dependent. As hypothesized, there was a reduced response of crop use with increasing crop availability when non‐agricultural resources were more available, emphasizing that crop damage levels are likely to be highly heterogeneous depending on surrounding natural resources and temporal availability of crops. We found significant effects of crop type and sex, with males spending 20% more time and visiting crops 58% more often than females, and both sexes showing different functional responses depending on crop type. Our application demonstrates how commonly collected animal movement data can be used to understand context dependencies in resource use to improve our understanding of pest foraging behavior, with implications for prioritizing spatiotemporal hotspots of potential economic loss in agro‐ecosystems.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2015","usgsCitation":"Wilber, M.Q., Chinn, S.M., Beasley, J.C., Boughton, R., Brook, R.K., Ditchkoff, S.S., Fischer, J.W., Hartley, S.B., Holmstrom, L.K., Kilgo, J.C., Lewis, J., Miller, R.S., Snow, N.P., Vercauteren, K.C., Wisely, S.M., Webb, C.T., and Pepin, K., 2020, Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests: Ecological Applications, v. 30, no. 1, e02015, 14 p., https://doi.org/10.1002/eap.2015.","productDescription":"e02015, 14 p.","ipdsId":"IP-105253","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":370303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California. 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,{"id":70208276,"text":"70208276 - 2020 - Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","interactions":[],"lastModifiedDate":"2020-02-03T07:00:13","indexId":"70208276","displayToPublicDate":"2019-10-09T06:56:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","docAbstract":"The New Madrid seismic zone of the central United States is an intraplate seismic zone with blind structures that are not seismically active but may pose seismic hazards. The Joiner Ridge fault is the 35 km long east-bounding fault of the Joiner Ridge blind horst located in eastern Arkansas approximately 50 km northwest of Memphis, Tennessee. Shallow S-wave (SH-mode) seismic reflection profiles, continuous cores, and radiometric dating of Quaternary alluvium across the Joiner Ridge fault reveal down-to-the-east reverse faulting and folding within of the top of the Eocene strata and overlying Quaternary Mississippi River alluvium. The base of the Quaternary alluvium has an age of 20.3 ka and is vertically displaced 12 m, resulting in an average slip rate of 0.6 + 0.1 mm/yr over the past 20.3 ka. The overlying late Wisconsinan and Holocene alluvial facies are also displaced by the Joiner Ridge fault. These facies increase in thickness across the Joiner Ridge fault and were used to calculate late Wisconsinan and Holocene slip rates. The JRF slipped 7 m between 20.3 ka and 17.5 ka (2.8 ka), reflecting a slip rate of 2.5 + 0.3 mm/yr. From 12.3 ka to 11.5 ka (0.8 ka) the JRF slipped 3 m at an average slip rate of 3.8 + 0.9 mm/yr. There were 2 m of slip on the JRF between 11.5 ka and 8.9 ka (2.6 ka), reflecting a slip rate of 0.8 + 0.3 mm/yr. No apparent slip has occurred on the JRF within the last 8.90 ka. This research illustrates that slip rates on the JRF have varied through the late Wisconsinan and early Holocene, but the Joiner Ridge fault has been inactive since the middle Holocene.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190149","usgsCitation":"Price, A.C., Woolery, E.W., Counts, R., Van Arsdale, R., Larsen, D., Mahan, S.A., and Beck, G., 2020, Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas: Seismological Research Letters, v. 90, no. 6, p. 2250-2261, https://doi.org/10.1785/0220190149.","productDescription":"12 p.","startPage":"2250","endPage":"2261","ipdsId":"IP-107613","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas ","otherGeospatial":"Joiner Ridge Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.219482421875,\n              33.04550781490999\n            ],\n            [\n              -91.12060546875,\n              33.95247360616282\n            ],\n            [\n              -90.098876953125,\n              35.22767235493586\n            ],\n            [\n              -89.681396484375,\n              36.01356058518153\n            ],\n            [\n              -90.340576171875,\n              36.01356058518153\n            ],\n            [\n              -90.054931640625,\n              36.35052700542763\n            ],\n            [\n              -90.164794921875,\n              36.491973470593685\n            ],\n            [\n              -91.900634765625,\n              36.50963615733049\n            ],\n            [\n              -92.669677734375,\n              34.786739162702524\n            ],\n            [\n              -92.559814453125,\n              33.55970664841198\n            ],\n            [\n              -92.197265625,\n              33.04550781490999\n            ],\n            [\n              -91.219482421875,\n              33.04550781490999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Audrey C.","contributorId":222111,"corporation":false,"usgs":false,"family":"Price","given":"Audrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":781246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":781223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counts, Ron 0000-0002-8426-1990","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":222105,"corporation":false,"usgs":false,"family":"Counts","given":"Ron","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":781224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Arsdale, Roy","contributorId":199299,"corporation":false,"usgs":false,"family":"Van Arsdale","given":"Roy","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Daniel","contributorId":199300,"corporation":false,"usgs":false,"family":"Larsen","given":"Daniel","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":781221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beck, Glynn","contributorId":222106,"corporation":false,"usgs":false,"family":"Beck","given":"Glynn","email":"","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":781227,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215284,"text":"70215284 - 2020 - Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA","interactions":[],"lastModifiedDate":"2020-10-14T23:26:06.094069","indexId":"70215284","displayToPublicDate":"2019-10-08T18:15:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA","docAbstract":"<p><span>Land use/land cover (LULC) change has significant impacts on nutrient loading to aquatic systems and has been linked to deteriorating water quality globally. While many relationships between LULC and nutrient loading have been identified, characterization of the interaction between LULC, climate (specifically variable hydrologic forcing) and solute export across seasonal and interannual time scales is needed to understand the processes that determine nutrient loading and responses to change. Recent advances in high-frequency water quality sensors provide opportunities to assess these interannual relationships with sufficiently high temporal resolution to capture the unpredictable, short-term storm events that likely drive important export mechanisms for dissolved organic carbon (DOC) and nitrate (NO</span><sub>3</sub><sup>−</sup><span>–N). We deployed a network of in situ sensors in forested, agricultural, and urban watersheds across the northeastern United States. Using 2&nbsp;years of high-frequency sensor data, we provide a regional assessment of how LULC and hydrologic variability affected the timing and magnitude of dissolved organic carbon and nitrate export, and the status of watershed fluxes as either supply or transport controlled. Analysis of annual export dynamics revealed systematic differences in the timing and magnitude of DOC and NO</span><sub>3</sub><sup>−</sup><span>–N delivery among different LULC classes, with distinct regional similarities in the timing of DOC and NO</span><sub>3</sub><sup>−</sup><span>–N fluxes from forested and urban watersheds. Conversely, export dynamics at agricultural sites appeared to be highly site-specific, likely driven by local agricultural practices and regulations. Furthermore, the magnitude of solute fluxes across watersheds responded strongly to interannual variability in rainfall, suggesting a high degree of hydrologic control over nutrient loading across the region. Thus, there is strong potential for climate-driven changes in regional hydrologic cycles to drive variation in the magnitude of downstream nutrient fluxes, particularly in watersheds where solute supply and/or transport has been modified.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-019-00609-x","usgsCitation":"Seybold, E., Gold, A.J., Inamdar, S.P., Adair, C., Bowden, W., Vaughan, M., Pradhanang, S.M., Addy, K., Shanley, J.B., Vermilyea, A.W., Levia, D., Wemple, B., and Schroth, A.W., 2020, Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA: Biogeochemistry, v. 146, p. 31-49, https://doi.org/10.1007/s10533-019-00609-x.","productDescription":"19 p.","startPage":"31","endPage":"49","ipdsId":"IP-107827","costCenters":[{"id":466,"text":"New England Water Science 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,{"id":70208238,"text":"70208238 - 2020 - Alignment of surface water ontologies: A comparison of manual and automated approaches","interactions":[],"lastModifiedDate":"2020-04-06T21:38:47.796836","indexId":"70208238","displayToPublicDate":"2019-10-08T07:09:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2305,"text":"Journal of Geographical Systems","active":true,"publicationSubtype":{"id":10}},"title":"Alignment of surface water ontologies: A comparison of manual and automated approaches","docAbstract":"More data are being collected about the world around us than ever before, but effectively using this information requires different data stores to be integrated in such a way that they can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two current leading automated alignment systems to integrate four ontologies from the surface water domain. We show that the performance of such systems in this domain lags behind their results on popular benchmarks, and therefore incorporate the alignment task described here into the set of benchmarks used by the alignment community. In addition, we show that, with minor modifications, existing alignment algorithms can be used effectively within a semi-automated alignment system for the surface water domain.","language":"English","publisher":"Springer","doi":"10.1007/s10109-019-00312-3","usgsCitation":"Cheatham, M., Varanka, D.E., Arauz, F., and Zhou, L., 2020, Alignment of surface water ontologies: A comparison of manual and automated approaches: Journal of Geographical Systems, v. 22, no. 2, p. 267-289, https://doi.org/10.1007/s10109-019-00312-3.","productDescription":"23 p.","startPage":"267","endPage":"289","ipdsId":"IP-101017","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheatham, Michelle","contributorId":222086,"corporation":false,"usgs":false,"family":"Cheatham","given":"Michelle","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":781126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arauz, Fatima","contributorId":222087,"corporation":false,"usgs":false,"family":"Arauz","given":"Fatima","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Lu","contributorId":222088,"corporation":false,"usgs":false,"family":"Zhou","given":"Lu","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223259,"text":"70223259 - 2020 - Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","interactions":[],"lastModifiedDate":"2021-09-07T16:36:12.636373","indexId":"70223259","displayToPublicDate":"2019-10-07T11:30:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","docAbstract":"<p><span>Sandhill Cranes&nbsp;</span><i>Antigone canadensis</i><span>&nbsp;exhibit delayed sexual maturity and breeding, and therefore juvenile Cranes searching for suitable territories to occupy have different ecological constraints on movements than adults, which must defend a territory and raise young. We used fine-scale GPS telemetry data to characterize and compare movements of adult and juvenile Cranes near the boundary between two populations in Minnesota, USA, from arrival on natal areas in the spring until staging prior to autumn migration. Juvenile and adult Cranes had marked differences in movement patterns throughout the breeding season. Juveniles were more likely than adults to display long-distance movements: they revisited areas less frequently throughout the breeding season and they had lower average residence times.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12786","usgsCitation":"Wolfson, D.W., Fieberg, J.R., and Andersen, D.E., 2020, Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season: Ibis, v. 162, no. 2, p. 556-562, https://doi.org/10.1111/ibi.12786.","productDescription":"7 p.","startPage":"556","endPage":"562","ipdsId":"IP-101350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12786","text":"Publisher Index Page"},{"id":388888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96,\n              46\n            ],\n            [\n              -93,\n              46\n            ],\n            [\n              -93,\n              48\n            ],\n            [\n              -96,\n              48\n            ],\n            [\n              -96,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"162","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":264451,"corporation":false,"usgs":false,"family":"Wolfson","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fieberg, John R.","contributorId":264453,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213256,"text":"70213256 - 2020 - Addressing barriers to improve biocrust colonization and establishment in dryland restoration","interactions":[],"lastModifiedDate":"2020-09-16T14:01:21.735907","indexId":"70213256","displayToPublicDate":"2019-10-06T08:53:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Addressing barriers to improve biocrust colonization and establishment in dryland restoration","docAbstract":"<p><span>Methods to reduce soil loss and associated loss of ecosystem functions due to land degradation are of particular importance in dryland ecosystems. Biocrusts are communities of cyanobacteria, lichens, and bryophytes that are vulnerable to soil disturbance, but provide vital ecosystem functions when present. Biocrusts stabilize soil, improve hydrologic function, and increase nutrient and carbon inputs. Methods to reestablish biocrust rapidly, when lost from ecosystems, have the potential to restore important dryland ecosystem functions and thereby increase probability of successful rehabilitation. The aim of this study was to identify habitat ameliorations to enhance the success of biocrust inoculation by: (1) reducing physiological stress on biocrusts and increasing resource availability (using shade, soil surface roughening, and watering), and (2) stabilizing mobile soils (using straw borders, three soil tackifiers [soil stabilizers], and a combination of shade, water, roughening, and tackifier). In the Great Basin Desert on the Utah Test and Training Range near Salt Lake City, we applied field‐harvested biocrust material to experimental plots on coarse‐ and fine‐textured soils with the top 2&nbsp;cm of soil and biocrust removed. Habitat ameliorations were applied with and without biocrust addition. Shade provision increased biocrust cover 50% over controls. Biocrust cover and soil stability were 65% lower in straw border plots relative to controls. Soil tackifiers, alone and in combination with resource augmentation and stress reduction, did not improve cover and stabilization over inoculated controls. We found variability in recovery by time and between soil types. These results suggest plausible strategies to improve success of biocrust inoculation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13052","usgsCitation":"Antoninka, A., Bowker, M.A., Barger, N., Belnap, J., Giraldo Silva, A., Reed, S., Garcia-Pichel, F., and Duniway, M.C., 2020, Addressing barriers to improve biocrust colonization and establishment in dryland restoration: Restoration Ecology, v. 28, no. 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