{"pageNumber":"652","pageRowStart":"16275","pageSize":"25","recordCount":184617,"records":[{"id":70208331,"text":"70208331 - 2020 - Field observations of wind waves in Upper Delaware Bay with living shorelines","interactions":[],"lastModifiedDate":"2020-05-05T16:46:39.517086","indexId":"70208331","displayToPublicDate":"2020-01-29T17:58:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Field observations of wind waves in Upper Delaware Bay with living shorelines","docAbstract":"Constructed oyster reefs (CORs) provide shore protections and habitats for fish and shellfish communities via wave energy attenuation. However, the processes and mechanism of CORs on wave attenuation remain unclear, thus limiting the effective assessment of CORs for shoreline protection. This paper presents results of a field investigation on wave characteristics and wave spectral variations along a shoreline with CORs in an estuary with a large tidal range as well as large wind waves and swell energy. Six pressure transducers were deployed from January 31 to April 2, 2018, in Gandy’s Beach, New Jersey, in upper Delaware Bay. CORs were constructed at the study site in 2016 as living shoreline structures after Hurricane Sandy. The data collected from the study site exhibits the wave variations and spectral characteristics over the span of 2 months, including four winter storms (i.e., nor’easters). The spatial variations of wave heights measured on both sides of CORs show a strong dependence on the ratio between the freeboard of CORs and the offshore wave heights. Due to the large tidal range (> 2 m), the crests of CORs remain submerged over 85% of the time. The submerged CORs only provide partial attenuation of wave energy. The wave environment in the estuary is complex, especially during nor’easters. For instance, winds with rapid changing fetches could lead to bi-modal wind seas. Due to the complex wave spectra, the bulk wave heights such as the significant wave heights cannot be adopted to adequately reveal the capacity of CORs to attenuate wave energy. Spectral analysis is conducted to investigate the spatial and temporal variations of wave energy in targeted frequency bins. The spectral analysis results reveal the energy transfer from the primary waves to the high harmonics after waves propagate over the submerged CORs. Moreover, it is found that swell energy originated from the Atlantic Ocean can penetrate CORs without any dampening even when CORs are emergent. This study could help resource managers for in-depth evaluation of living shoreline effectiveness and improvement of living shoreline structures such as CORs.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00670-7","usgsCitation":"Zhu, L., Chen, Q., Wang, H., Capurso, W.D., Niemoczynski, L., Hu, K., and Snedden, G., 2020, Field observations of wind waves in Upper Delaware Bay with living shorelines: Estuaries and Coasts, v. 43, p. 739-755, https://doi.org/10.1007/s12237-019-00670-7.","productDescription":"17 p.","startPage":"739","endPage":"755","ipdsId":"IP-108855","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437136,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YEUNTM","text":"USGS data release","linkHelpText":"Field observations and spectral evolution of wind waves in Upper Delaware Bay with living shorelines"},{"id":372048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.56396484375,\n              38.34165619279595\n            ],\n            [\n              -74.86358642578125,\n              38.34165619279595\n            ],\n            [\n              -74.86358642578125,\n              39.42346418978382\n            ],\n            [\n              -75.56396484375,\n              39.42346418978382\n            ],\n            [\n              -75.56396484375,\n              38.34165619279595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":222169,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":781438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":781439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":215079,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capurso, William D. 0000-0003-1182-2846 wcapurso@usgs.gov","orcid":"https://orcid.org/0000-0003-1182-2846","contributorId":2113,"corporation":false,"usgs":true,"family":"Capurso","given":"William","email":"wcapurso@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":781440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":781442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snedden, Gregg 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":140235,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":781443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208145,"text":"70208145 - 2020 - Simulation modeling of complex climate, wildfire, and vegetation dynamics to address wicked problems in land management","interactions":[],"lastModifiedDate":"2020-07-09T14:32:31.735778","indexId":"70208145","displayToPublicDate":"2020-01-29T17:34:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Simulation modeling of complex climate, wildfire, and vegetation dynamics to address wicked problems in land management","docAbstract":"Complex, reciprocal interactions among climate, disturbance, and vegetation\ndramatically alter spatial landscape patterns and influence ecosystem dynamics.\nAs climate and disturbance regimes shift, historical analogs and past empirical studies\nmay not be entirely appropriate as templates for future management. The need for a\nbetter understanding of the potential impacts of climate changes on ecosystems is\nreaching a new level of urgency, especially in highly perturbed or vulnerable ecological\nsystems. Simulation models are extremely useful tools for guiding management\ndecisions in an era of rapid change, thus providing potential solutions for wicked\nproblems in land management—those that are difficult to solve and inherently resistant\nto easily definable solutions. We identify three experimental approaches for landscape\nmodeling that address management challenges in the context of uncertain climate\nfutures and complex ecological interactions: (1) an historical comparative approach, (2)\na future comparative approach, and (3) threshold detection. We provide examples of\neach approach from previously published studies of simulated climate, disturbance, and\nlandscape dynamics in forested landscapes of the western United States, modeled with\nthe FireBGCv2 ecosystem process model. Cumulatively, model outcomes indicate that\ntypical land management strategies will likely not be sufficient to counteract the impacts\nof rapid climate change and altered disturbance regimes that threaten the stability\nof ecosystems. Without implementation of new, adaptive management strategies,\nfuture landscapes are very likely to be different than historical or contemporary ones,\nwith significant and sometimes persistent changes triggered by interactions of climate\nand wildfire.","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2020.00003","usgsCitation":"Loehman, R.A., Keane, R.E., and Holsinger, L.M., 2020, Simulation modeling of complex climate, wildfire, and vegetation dynamics to address wicked problems in land management: Frontiers in Forests and Global Change, v. 3, 3, 13 p., https://doi.org/10.3389/ffgc.2020.00003.","productDescription":"3, 13 p.","ipdsId":"IP-113393","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":457966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2020.00003","text":"Publisher Index Page"},{"id":371739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, New Mexico, Wyoming","otherGeospatial":"East Fork of the Bitterroot River, Jemez Mountains, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.1651611328125,\n              44.09547572946637\n            ],\n            [\n              -109.84680175781249,\n              44.09547572946637\n            ],\n            [\n              -109.84680175781249,\n              45.089035564831036\n            ],\n            [\n              -111.1651611328125,\n              45.089035564831036\n            ],\n            [\n              -111.1651611328125,\n              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E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":780710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":780711,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211925,"text":"70211925 - 2020 - Associations between riparian plant morphological guilds and fluvial sediment dynamics along the regulated Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2020-08-11T20:05:52.987178","indexId":"70211925","displayToPublicDate":"2020-01-29T15:01:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Associations between riparian plant morphological guilds and fluvial sediment dynamics along the regulated Colorado River in Grand Canyon","docAbstract":"<p><span>Effects of riparian vegetation on fluvial sediment dynamics depend on morphological traits of the constituent species. Determining the effects of different morphological guilds on sedimentation rates, as influenced by multiple aspects of dam operations, can help identify viable strategies for streamflow and vegetation management to achieve riparian resource goals. Plants of increasing size and branching density or complexity have been found to have greater effects on sedimentation in free‐flowing systems; however, this relationship could differ in regulated rivers. We tested the hypothesis that plant guilds of increasing height and branching complexity would be positively associated with sedimentation rates on 23 sandbars deposited in zones of recirculating flow (eddies) along the Colorado River in Grand Canyon. We used an image‐based vegetation classification and digital elevation models from annual topographic surveys to track associations between six plant morphological guilds and topographic change over 5 years. Vegetation had significant associations with deposition after accounting for geomorphic setting, but the ordinal guild scale was not positively correlated with deposition magnitude. Instead, low‐statured rhizomatous and herbaceous guilds were particularly effective at capturing sediment in the separation zone of sandbars, whereas tall herbs and large shrubs were most effective at capturing sediment in reattachment zones. These nuanced interactions between geomorphic position and morphological guild may be a direct consequence of flow regulation through modifications to physical deposition and erosion processes. Flow regulation may also select for a narrow subset of morphological guilds, reducing the diversity of vegetation feedbacks on sedimentation and emphasizing geomorphic drivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3589","usgsCitation":"Butterfield, B.J., Grams, P.E., Durning, L., Hazel, J., Palmquist, E.C., Ralston, B., and Sankey, J.B., 2020, Associations between riparian plant morphological guilds and fluvial sediment dynamics along the regulated Colorado River in Grand Canyon: River Research and Applications, v. 36, no. 3, p. 410-421, https://doi.org/10.1002/rra.3589.","productDescription":"12 p.","startPage":"410","endPage":"421","ipdsId":"IP-110031","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437137,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93F8JJK","text":"USGS data release","linkHelpText":"Long-term sandbar monitoring data along the Colorado River in Marble and Grand Canyons, Arizona"},{"id":377385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.005126953125,\n              35.71083783530009\n            ],\n            [\n              -111.37390136718749,\n              35.71083783530009\n            ],\n            [\n              -111.37390136718749,\n              36.92793899776678\n            ],\n            [\n              -114.005126953125,\n              36.92793899776678\n            ],\n            [\n              -114.005126953125,\n              35.71083783530009\n            ]\n          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Center","active":true,"usgs":true}],"preferred":true,"id":795830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durning, Laura E. 0000-0003-3282-2458","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":177023,"corporation":false,"usgs":false,"family":"Durning","given":"Laura E.","affiliations":[],"preferred":false,"id":795831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hazel, Joseph 0000-0003-0903-3397","orcid":"https://orcid.org/0000-0003-0903-3397","contributorId":189310,"corporation":false,"usgs":false,"family":"Hazel","given":"Joseph","affiliations":[],"preferred":false,"id":795832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ralston, Barbara 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":195797,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":795834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795835,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211256,"text":"70211256 - 2020 - Impacts of seagrass dynamics on the coupled long-term evolution of barrier-marsh-bay systems","interactions":[],"lastModifiedDate":"2020-07-22T15:45:46.58433","indexId":"70211256","displayToPublicDate":"2020-01-29T10:42:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of seagrass dynamics on the coupled long-term evolution of barrier-marsh-bay systems","docAbstract":"Seagrass provides a wide range of economically and ecologically valuable ecosystem services, with shoreline erosion control often listed as a key service, but can also alter the sediment dynamics and waves within back-barrier bays. Here we incorporate seagrass dynamics into an existing barrier-marsh exploratory model, GEOMBEST++, to examine the coupled interactions of the back-barrier bay with both adjacent (marsh) and non-adjacent (barrier island) subsystems. While seagrass reduces marsh edge erosion rates and increases progradation rates in many of our 288 model simulations, seagrass surprisingly increases marsh edge erosion rates when sediment export from the back-barrier basin is negligible because the ability of seagrass to reduce the volume of marsh sediment eroded matters little for back-barrier basins in which all sediment is conserved. Our model simulations also suggest that adding seagrass to the bay subsystem leads to increased deposition in the bay, reduced sediment available to the marsh, and enhanced marsh edge erosion until the bay reaches a new, shallower equilibrium depth. In contrast, removing seagrass liberates previously-sequestered sediment that is then delivered to the marsh, leading to enhanced marsh progradation. Lastly, we find that seagrass reduces barrier island migration rates in the absence of back-barrier marsh by filling accommodation space in the bay. These model observations suggest that seagrass meadows operate as dynamic sources and sinks of sediment that can influence the evolution of coupled marsh and barrier island landforms in unanticipated ways.","language":"English","publisher":"Wiley","doi":"10.1029/2019JG005416","usgsCitation":"Reeves, I., Moore, L., Goldstein, E., Murray, B., Carr, J., and Kirwan, M.L., 2020, Impacts of seagrass dynamics on the coupled long-term evolution of barrier-marsh-bay systems: Journal of Geophysical Research: Biogeosciences, v. 125, no. 2, e2019JG005416, 19 p., https://doi.org/10.1029/2019JG005416.","productDescription":"e2019JG005416, 19 p.","ipdsId":"IP-102822","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jg005416","text":"Publisher Index Page"},{"id":376641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.15997314453125,\n              37.03983207971425\n            ],\n            [\n              -75.74523925781249,\n              37.01571219880126\n            ],\n            [\n              -75.41015624999999,\n              37.87268533717655\n            ],\n            [\n              -75.87432861328125,\n              37.87268533717655\n            ],\n            [\n              -76.15997314453125,\n              37.03983207971425\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Reeves, Ian","contributorId":229522,"corporation":false,"usgs":false,"family":"Reeves","given":"Ian","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":793437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Laura","contributorId":19090,"corporation":false,"usgs":false,"family":"Moore","given":"Laura","affiliations":[{"id":24532,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, NC 27599, USA","active":true,"usgs":false}],"preferred":false,"id":793438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Evan ","contributorId":221556,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan ","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":793439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, Brad","contributorId":229523,"corporation":false,"usgs":false,"family":"Murray","given":"Brad","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":793440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":793442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208019,"text":"ofr20201009 - 2020 - Potential duration of aftershocks of the 2020 southwestern Puerto Rico earthquake","interactions":[],"lastModifiedDate":"2022-04-21T20:38:12.80295","indexId":"ofr20201009","displayToPublicDate":"2020-01-29T08:27:35","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1009","displayTitle":"Potential Duration of Aftershocks of the 2020 Southwestern Puerto Rico Earthquake","title":"Potential duration of aftershocks of the 2020 southwestern Puerto Rico earthquake","docAbstract":"<h1>Abstract</h1><p>Aftershocks (earthquakes clustered spatially and chronologically near the occurrence of a causative earthquake) are ongoing in southwestern Puerto Rico after a series of earthquakes, which include a magnitude 6.4 earthquake that occurred near Barrio Indios, Guayanilla, on January 7, 2020, and affected the surrounding area. This report estimates the expected duration of these aftershocks by incorporating observations of aftershocks as of January 17, 2020, into a well-established statistical model of how earthquake sequences behave. Aftershocks will persist for years to decades, although with decreasing frequency, and earthquakes will likely be felt on a daily basis for up to several months. These estimates have significant uncertainty owing to different scenarios of how the earthquake sequence may evolve over time and could also change if a new large aftershock occurs. This report also estimates the amount of time remaining until the annual probability of magnitude 5, 6, and 7 or greater aftershocks—which could cause additional damage—decreases to 50, 25, 10, 5, and 1 percent. As of this writing, the chance of having a magnitude 6 or greater earthquake within a given year, going forward, will not fall below 25 percent for another 3 months to 3 years. The chance of having a magnitude 5 or greater earthquake will not fall below 25 percent for a decade or more. The aftershocks discussed in this report would be located in the same general area as the aftershocks that have already occurred. Our results do not imply a change in the risk of earthquakes in other parts of Puerto Rico.<br><br></p><h3>Resumen</h3><p>Las réplicas (terremotos agrupados espacial y cronológicamente cerca de la ocurrencia de un terremoto causante) están en curso en el suroeste de Puerto Rico después de una serie de terremotos, que incluyen un terremoto de magnitud 6.4, ocurrido cerca del Barrio Indios, Guayanilla, el 7 de enero de 2020 y que afectaron las áreas circundantes. Este informe estima la duración esperada de las réplicas incorporando observaciones de réplicas a partir del 17 de enero de 2020 en un modelo estadístico bien establecido de cómo se comportan las secuencias de terremotos. Las réplicas persistirán durante años o décadas, aunque con una frecuencia decreciente, y los terremotos probablemente se sentirán a diario durante varios meses. Estos estimados tienen una incertidumbre significativa debido a diferentes escenarios de cómo la secuencia del terremoto puede evolucionar con el tiempo y también podrían cambiar si ocurre una nueva réplica grande. Este informe también estima la cantidad de tiempo restante hasta que la probabilidad anual de réplicas de magnitud 5, 6 y 7 o más - que podría causar daños adicionales- disminuya a un 50, 25, 10, 5 y 1 por ciento. Al momento de escribir este artículo, la posibilidad de tener un terremoto de magnitud 6 en un año determinado, en el futuro, no caerá por debajo del 25 por ciento durante otros 3 meses a 3 años. La probabilidad de tener un terremoto de magnitud 5 o mayor no será inferior al 25 por ciento durante una década o más. Las réplicas discutidas en este informe se ubicarían en la misma área general que las réplicas que ya han ocurrido. Nuestros resultados no implican un cambio en el riesgo de terremotos en otras partes de Puerto Rico.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201009","usgsCitation":"van der Elst, N.J., Hardebeck, J.L., and Michael, A.J., 2020, Potential duration of aftershocks of the 2020 southwestern Puerto Rico earthquake: U.S. Geological Survey Open-File Report 2020–1009, 5 p., https://doi.org/10.3133/ofr20201009.","productDescription":"v, 5 p.","onlineOnly":"Y","ipdsId":"IP-115560","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":399452,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109627.htm"},{"id":371666,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1009/coverthb.jpg"},{"id":371665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1009/ofr20201009_spanish.pdf","text":"Report (Español)","linkFileType":{"id":1,"text":"pdf"}},{"id":371664,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1009/ofr20201009.pdf","text":"Report (English)","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.21,\n              17.7683\n            ],\n            [\n              -66.5942,\n              17.7683\n            ],\n            [\n              -66.5942,\n              18.0558\n            ],\n            [\n              -67.21,\n              18.0558\n            ],\n            [\n              -67.21,\n              17.7683\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\">Earthquake Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 977<br>Menlo Park, California 94025</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>2020 Southwestern Puerto Rico Earthquake Aftershock Sequence</li><li>Modeling the Aftershock Sequence</li><li>Conclusions</li><li>References</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-01-29","noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":780165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209594,"text":"70209594 - 2020 - Are elevation and open-water conversion of salt marshes connected?","interactions":[],"lastModifiedDate":"2020-04-15T13:06:55.732548","indexId":"70209594","displayToPublicDate":"2020-01-29T08:02:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Are elevation and open-water conversion of salt marshes connected?","docAbstract":"Salt marsh assessments focus on vertical metrics such as accretion or lateral metrics such as open-water conversion, without exploration of how the dimensions are related. We exploited a novel geospatial dataset to explore how elevation is related to the unvegetated-vegetated marsh ratio (UVVR), a lateral metric, across individual marsh “units” within four estuarine-marsh systems. We find that elevation scales consistently with the UVVR across systems, with lower elevation units demonstrating more open-water conversion and higher UVVRs. A normalized elevation-UVVR relationship converges across systems near the system-mean elevation and a UVVR of 0.1, a critical threshold identified by prior studies. This indicates that open-water conversion becomes a dominant lateral instability process at a relatively conservative elevation threshold. We then integrate the UVVR and elevation to yield lifespan estimates, which demonstrate that higher elevation marshes are more resilient to internal deterioration, with an order-of-magnitude longer lifespan than predicted for lower elevation marshes.","language":"English","publisher":"Wiley","doi":"10.1029/2019GL086703","collaboration":"","usgsCitation":"Ganju, N., Defne, Z., and Fagherazzi, S., 2020, Are elevation and open-water conversion of salt marshes connected?: Geophysical Research Letters, v. 47, no. 3, e2019GL086703, 10 p., https://doi.org/10.1029/2019GL086703.","productDescription":"e2019GL086703, 10 p.","ipdsId":"IP-115070","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl086703","text":"Publisher Index Page"},{"id":374007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York, Maryland, Virginia","city":"","otherGeospatial":"Plum Island Estuary, Cape Cod National Seashore, Great South Bay, Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.94970703125,\n              42.439674178149424\n            ],\n            [\n              -70.5487060546875,\n              42.439674178149424\n            ],\n            [\n              -70.5487060546875,\n              42.87596410238256\n            ],\n            [\n              -70.94970703125,\n              42.87596410238256\n            ],\n            [\n              -70.94970703125,\n              42.439674178149424\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.38940429687499,\n              41.5579215778042\n            ],\n            [\n              -69.8016357421875,\n              41.5579215778042\n            ],\n            [\n              -69.8016357421875,\n              42.167475010395336\n            ],\n            [\n              -70.38940429687499,\n              42.167475010395336\n            ],\n            [\n              -70.38940429687499,\n              41.5579215778042\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.9874267578125,\n              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           ],\n            [\n              -75.4541015625,\n              37.92686760148135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":787046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":787047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagherazzi, Sergio","contributorId":207153,"corporation":false,"usgs":false,"family":"Fagherazzi","given":"Sergio","email":"","affiliations":[{"id":37465,"text":"Boston University, Earth and Environment, Boston, 02215, USA.","active":true,"usgs":false}],"preferred":false,"id":787048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208271,"text":"70208271 - 2020 - Fatty acid-based diet estimates suggest ringed seal remain the main prey of southern Beaufort Sea polar bears despite recent use of onshore food resources","interactions":[],"lastModifiedDate":"2020-03-11T15:14:29","indexId":"70208271","displayToPublicDate":"2020-01-29T07:04:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Fatty acid-based diet estimates suggest ringed seal remain the main prey of southern Beaufort Sea polar bears despite recent use of onshore food resources","docAbstract":"<p><span>Polar bears (</span><i>Ursus maritimus</i><span>) from the southern Beaufort Sea (SB) subpopulation have traditionally fed predominantly upon ice‐seals; however, as the proportion of the subpopulation using onshore habitat has recently increased, foraging on land‐based resources, including remains of subsistence‐harvested bowhead whales (</span><i>Balaena mysticetus</i><span>) and colonial nesting seabirds has been observed. Adipose tissue samples were collected from this subpopulation during the springs of 2013–2016 and analyzed for fatty acid signatures. Diet estimates were generated for the proportional consumption of ringed seal (</span><i>Pusa hispida</i><span>), bearded seal (</span><i>Erignathus barbatus</i><span>), and beluga whale (</span><i>Delphinapterus leucas</i><span>), relative to onshore foods, including bowhead whale remains and seabird, as represented by black guillemot (</span><i>Cepphus grylle mandtii</i><span>) nestlings and eggs. Quantitative fatty acid signature analysis (QFASA) estimated that the ice‐obligate prey, ringed seal, remained the predominant prey species of SB polar bears (46.4&nbsp;±&nbsp;1.8%), with much lower consumption of bearded seal (19.6&nbsp;±&nbsp;2.0%), seabird (17.0&nbsp;±&nbsp;1.2%), bowhead whale (15.0&nbsp;±&nbsp;1.4%), and hardly any beluga whale (2.0&nbsp;±&nbsp;0.5%). Adult and subadult females appeared to depend more on the traditional ringed seal prey than adult and subadult males. Diet estimates of SB polar bears showed significant interannual variability for all prey (</span><i>F</i><sub>12, 456</sub><span>&nbsp;=&nbsp;3.17,&nbsp;</span><i>p</i><span>&nbsp;&lt;&nbsp;.001). Longer‐term estimates suggested that both types of onshore prey, bowhead whale remains and seabird, have represented a moderate proportion of the food resources used by SB polar bears since at least the start of the 21st Century.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6043","usgsCitation":"Bourque, J., Atwood, T.C., Divoky, G.J., Stewart, C., and McKinney, M.A., 2020, Fatty acid-based diet estimates suggest ringed seal remain the main prey of southern Beaufort Sea polar bears despite recent use of onshore food resources: Ecology and Evolution, v. 10, no. 4, p. 2093-2103, https://doi.org/10.1002/ece3.6043.","productDescription":"11 p.","startPage":"2093","endPage":"2103","ipdsId":"IP-108540","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":457977,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6043","text":"Publisher Index Page"},{"id":437138,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JXZSUS","text":"USGS data release","linkHelpText":"Diet Estimates of Southern Beaufort Sea Polar Bears, 2004-2016"},{"id":371900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.68554687499997,\n              69.62651016802958\n            ],\n            [\n              -140.9765625,\n              69.62651016802958\n            ],\n            [\n              -140.9765625,\n              73.57816726137321\n            ],\n            [\n              -162.68554687499997,\n              73.57816726137321\n            ],\n            [\n              -162.68554687499997,\n              69.62651016802958\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bourque, Jennifer","contributorId":222102,"corporation":false,"usgs":false,"family":"Bourque","given":"Jennifer","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":781205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Divoky, George J.","contributorId":100912,"corporation":false,"usgs":false,"family":"Divoky","given":"George","email":"","middleInitial":"J.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":781206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Connie","contributorId":222103,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":781207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":781208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208196,"text":"70208196 - 2020 - A brief introduction to seismic instrumentation: Where does my data come from?","interactions":[],"lastModifiedDate":"2020-03-11T15:05:45","indexId":"70208196","displayToPublicDate":"2020-01-29T06:56:27","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":"A brief introduction to seismic instrumentation: Where does my data come from?","docAbstract":"Modern seismology has been able to take advantage of several technological advances.  These include feedback loops in the seismometer, specialized digitizers with absolute timing, and compression formats for storing data.  While all of these advances have helped to improve the field, they can also leave newcomers a bit confused.  Our goal here is to give a brief overview of how recordings of seismic ground motion originate.  We discuss the chain of events that are required to obtain digital data plus how these steps can be reversed to recover units of ground motion such as acceleration, velocity, or displacement.  Finally, we show a few examples of data that has become compromised because of various non-ground motion signals.  We hope to give a quick practical introduction to allow the reader to become familiar with the various jargon used in observational seismology.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190214","usgsCitation":"Ringler, A.T., and Bastien, P., 2020, A brief introduction to seismic instrumentation: Where does my data come from?: Seismological Research Letters, v. 91, no. 2A, p. 1074-1083, https://doi.org/10.1785/0220190214.","productDescription":"10 p.","startPage":"1074","endPage":"1083","ipdsId":"IP-112527","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":371784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bastien, Patrick 0000-0001-7222-3906","orcid":"https://orcid.org/0000-0001-7222-3906","contributorId":222001,"corporation":false,"usgs":true,"family":"Bastien","given":"Patrick","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207993,"text":"70207993 - 2020 - Paired stated preference methods for valuing management of white pine blister rust: order effects and outcome uncertainty","interactions":[],"lastModifiedDate":"2020-01-23T06:30:42","indexId":"70207993","displayToPublicDate":"2020-01-29T06:29:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2295,"text":"Journal of Forest Economics","active":true,"publicationSubtype":{"id":10}},"title":"Paired stated preference methods for valuing management of white pine blister rust: order effects and outcome uncertainty","docAbstract":"The literature on nonmarket valuation includes many examples of stated and revealed preference comparisons. However, comparisons within stated preference methods are sparse. Specifically, the literature provides few examples of pairing both a discrete choice experiment (CE) and a contingent valuation (CV) question within a single survey. This paper presents results of a nonmarket valuation study that employs both methods to elicit public preferences over uncertainty of outcomes and over management strategies. The two methods were employed to examine public support for the proactive management of the invasive pathogen, Cronartium ribicola, that causes the lethal disease white pine blister rust in high-elevation forests in North America. By addressing three related questions, this study finds the following main results: First, both methods suggest the importance of presenting outcome uncertainty to respondents. Second, the results provide no evidence that preferences vary over the means taken for pursuing the given ends, which in this case is long term forest health. Third, the paired inclusion of both methods results in order effects for CE results but not for CV results. Results and discussion provide insight into the most appropriate stated preference approach for informing different types of decisions about the efficient management of public lands.","language":"English","publisher":"NOW","doi":"10.1561/112.00000510","usgsCitation":"Meldrum, J., Champ, P.A., Bond, C.A., and Schoettle, A., 2020, Paired stated preference methods for valuing management of white pine blister rust: order effects and outcome uncertainty: Journal of Forest Economics, v. 35, no. 1, p. 75-101, https://doi.org/10.1561/112.00000510.","productDescription":"27 p.","startPage":"75","endPage":"101","ipdsId":"IP-103620","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":371488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":780065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":780066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Craig A.","contributorId":207553,"corporation":false,"usgs":false,"family":"Bond","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":37563,"text":"RAND Corporation, 1200 S. Hayes St. Arlington, VA, 22202, USA","active":true,"usgs":false}],"preferred":false,"id":780068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoettle, Anna 0000-0001-8106-5225","orcid":"https://orcid.org/0000-0001-8106-5225","contributorId":221723,"corporation":false,"usgs":false,"family":"Schoettle","given":"Anna","email":"","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":780067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208157,"text":"70208157 - 2020 - Rapid peat development beneath created, maturing mangrove forests: Ecosystem changes across a 25-year chronosequence","interactions":[],"lastModifiedDate":"2023-03-27T17:22:42.967707","indexId":"70208157","displayToPublicDate":"2020-01-28T18:08:52","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":"Rapid peat development beneath created, maturing mangrove forests: Ecosystem changes across a 25-year chronosequence","docAbstract":"Mangrove forests are among the world’s most productive and carbon‐rich ecosystems. Despite growing understanding of factors controlling mangrove forest soil carbon stocks, there is a need to advance understanding of the speed of peat development beneath maturing mangrove forests— especially in created and restored mangrove forests that are intended to compensate for ecosystem functions lost during mangrove forest conversion to other land uses. To better quantify the rate of soil organic matter development beneath created, maturing mangrove forests, we measured ecosystem changes across a 25‐year chronosequence. We compared ecosystem properties in created, maturing mangrove forests to adjacent natural mangrove forests. We also quantified site‐specific changes that occurred between 2010 and 2016. Soil organic matter accumulated rapidly beneath maturing mangrove forests as sandy soils transitioned to organic‐rich soils (peat). Within 25 years, a 20‐cm deep peat layer developed. The time required for created mangrove forests to reach equivalency with natural mangrove forests was estimated as: (1) < 15 years for herbaceous and juvenile vegetation; (2) ~55 years for adult trees; (3) ~25 years for the upper soil layer (0‐10 cm); and (4) ~45‐80 years for the lower soil layer (10‐30 cm). For soil elevation change, the created mangrove forests were equivalent to or surpassed natural mangrove forests within the first five years. A comparison to chronosequence studies from other ecosystems indicates that the rate of soil organic matter accumulation beneath maturing mangrove forests may be among the fastest globally. In most peatland ecosystems, soil organic matter formation occurs slowly (centuries, millennia); however, these results show that mangrove peat formation can occur within decades. Peat development, primarily due to sub‐surface root accumulation, enables mangrove forests to sequester carbon, adjust their elevation relative to sea level, and adapt to changing conditions at the dynamic land‐ocean interface. In the face of climate change and rising sea levels, coastal managers are increasingly concerned with the longevity and functionality of coastal restoration efforts. Our results advance understanding of the pace of ecosystem development in created, maturing mangrove forests, which can improve predictions of mangrove forest responses to global change and ecosystem restoration.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2085","usgsCitation":"Osland, M.J., Feher, L.C., Spivak, A.C., Nestlerode, J.A., Almario, A.E., Cormier, N., From, A., Krauss, K.W., Russell, M.J., Alvarez, F., Dantin, D.D., Harvey, J.E., and Stagg, C.L., 2020, Rapid peat development beneath created, maturing mangrove forests: Ecosystem changes across a 25-year chronosequence: Ecological Applications, v. 30, no. 4, e02085, 12 p., https://doi.org/10.1002/eap.2085.","productDescription":"e02085, 12 p.","ipdsId":"IP-102819","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457980,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7423248","text":"External Repository"},{"id":437139,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CW5VUC","text":"USGS data release","linkHelpText":"Rapid peat development beneath maturing mangrove forests: quantifying ecosystem changes along a 25-year chronosequence of created coastal wetlands"},{"id":371744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.673,\n              27.519\n            ],\n            [\n              -82.391,\n              27.519\n            ],\n            [\n           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lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spivak, Amanda C.","contributorId":191376,"corporation":false,"usgs":false,"family":"Spivak","given":"Amanda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":780741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nestlerode, Janet A.","contributorId":191374,"corporation":false,"usgs":false,"family":"Nestlerode","given":"Janet","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":780742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Almario, Alejandro E.","contributorId":191379,"corporation":false,"usgs":false,"family":"Almario","given":"Alejandro","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":780743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cormier, Nicole 0000-0003-2453-9900","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":214726,"corporation":false,"usgs":false,"family":"Cormier","given":"Nicole","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":780744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"From, Andrew 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":169668,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780746,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Russell, Marc J.","contributorId":191375,"corporation":false,"usgs":false,"family":"Russell","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":780747,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Alvarez, Federico","contributorId":221937,"corporation":false,"usgs":false,"family":"Alvarez","given":"Federico","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":780748,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dantin, Darrin D.","contributorId":191377,"corporation":false,"usgs":false,"family":"Dantin","given":"Darrin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":780749,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harvey, James E.","contributorId":191378,"corporation":false,"usgs":false,"family":"Harvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":780750,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780751,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70211975,"text":"70211975 - 2020 - Revealing migration and reproductive habitat of invasive fish under an active population suppression program","interactions":[],"lastModifiedDate":"2020-09-01T20:45:45.014071","indexId":"70211975","displayToPublicDate":"2020-01-28T17:01:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Revealing migration and reproductive habitat of invasive fish under an active population suppression program","docAbstract":"<p><span>Endemic species face a variety of threats including predation from non‐native invaders. In some cases, however, invasive species can be managed by directly suppressing populations, and tracking technologies that allow researchers to identify movement patterns and aggregations representative of the population can facilitate suppression activities. In Yellowstone Lake (Yellowstone National Park, Wyoming), invasive lake trout (</span><i>Salvelinus namaycush<span>&nbsp;</span></i><span>) have been the target of a population suppression program for over two decades. For this form of management, the reproductive period is particularly important because fish migrate to and from spawning grounds. From 2011 to 2014, adult lake trout (</span><i>n<span>&nbsp;</span></i><span>= 317) in Yellowstone Lake were tracked using acoustic biotelemetry. After controlling for spatial and temporal dependency in the data, total abundance of unique individuals was estimated where migratory trajectories occurred at confirmed spawning sites. Aggregations and migratory trajectories were further estimated at locations where spawning had not previously been observed. Across years, the greatest number of individuals was observed along a migration corridor in the southwestern area of the lake. Novel strategies for analyzing acoustic telemetry data provided insights into the behavior of an invasive fish species. By betraying the positions of conspecifics, tagged fish revealed potentially important reproductive habitats and migration corridors that warranted further investigation as possible sites for population suppression.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.119","usgsCitation":"Gutowsky, L.F., Romine, J.G., Heredia, N.A., Bigelow, P.E., Parsley, M.J., Sandstrom, P.T., Suski, C.D., Danylchuk, A.J., Cooke, S., and Gresswell, R.E., 2020, Revealing migration and reproductive habitat of invasive fish under an active population suppression program: Conservation Science and Practice, v. 2, e119, 15 p., https://doi.org/10.1111/csp2.119.","productDescription":"e119, 15 p.","ipdsId":"IP-101306","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":457983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.119","text":"Publisher Index Page"},{"id":377454,"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              -110.60073852539062,\n              44.27765451038982\n            ],\n            [\n              -110.18051147460938,\n              44.27765451038982\n            ],\n            [\n              -110.18051147460938,\n              44.574817404670306\n            ],\n            [\n              -110.60073852539062,\n              44.574817404670306\n            ],\n            [\n              -110.60073852539062,\n              44.27765451038982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutowsky, Lee F. G.","contributorId":181859,"corporation":false,"usgs":false,"family":"Gutowsky","given":"Lee","email":"","middleInitial":"F. G.","affiliations":[],"preferred":false,"id":796042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":796043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heredia, Nicholas A.","contributorId":181858,"corporation":false,"usgs":false,"family":"Heredia","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":796044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bigelow, Patricia E.","contributorId":181861,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":796046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandstrom, Philip T. psandstrom@usgs.gov","contributorId":5907,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Philip","email":"psandstrom@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":796047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":796048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Danylchuk, Andy J.","contributorId":138981,"corporation":false,"usgs":false,"family":"Danylchuk","given":"Andy","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":796049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":796050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":796051,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227803,"text":"70227803 - 2020 - Age distribution of red tree voles in northern spotted owl pellets estimated from molar tooth development","interactions":[],"lastModifiedDate":"2022-02-01T20:45:09.725338","indexId":"70227803","displayToPublicDate":"2020-01-28T15:44:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Age distribution of red tree voles in northern spotted owl pellets estimated from molar tooth development","docAbstract":"<p>We used molar measurements from 136 known-age red tree voles (<i>Arborimus longicaudus</i>) to develop regression models that could estimate tree vole age from skeletonized remains. The best regression included a quadratic structure of the ratio between two measurements, crown height and anterior height, and natural log-transformed age in days. The regression predicted that molar roots begin to develop at 40 days of age and that molar crowns are worn completely away at 1,177 days of age. We used the regression to estimate the age distribution of 1,703 red tree voles found in northern spotted owl (<i>Strix occidentalis caurina</i>) pellets collected in western Oregon during 1970–2009. The age distribution of red tree voles in pellets was dominated by young individuals, with 81% younger than one year and only 0.5% older than two years. The proportion of individuals 61–120 days old was particularly high relative to other age classes. The proportion of subadult (52–120 days old) individuals exhibited regional variation between the Oregon Cascades and the Coast Range. Localized annual variation in age distribution was low, exhibited no evidence of cyclic variation, and was positively associated with local precipitation rates during the spotted owl nesting season (March–June). We hypothesize that the age distribution of tree voles in owl pellets may be similar to the age structure of tree vole populations in the wild, but acknowledge that this is virtually impossible to test because tree voles cannot be adequately sampled using conventional small mammal capture methods.</p>","language":"English","publisher":"BioOne","doi":"10.3955/046.093.0304","usgsCitation":"Marks-Fife, C.A., Forsman, E.D., and Dugger, K., 2020, Age distribution of red tree voles in northern spotted owl pellets estimated from molar tooth development: Northwest Science, v. 93, no. 3-4, p. 193-208, https://doi.org/10.3955/046.093.0304.","productDescription":"16 p.","startPage":"193","endPage":"208","ipdsId":"IP-092934","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marks-Fife, Chad A.","contributorId":272849,"corporation":false,"usgs":false,"family":"Marks-Fife","given":"Chad","email":"","middleInitial":"A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":832335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forsman, Eric D.","contributorId":96792,"corporation":false,"usgs":false,"family":"Forsman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":832336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210620,"text":"70210620 - 2020 - Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development","interactions":[],"lastModifiedDate":"2020-09-10T19:53:51.951009","indexId":"70210620","displayToPublicDate":"2020-01-28T11:42:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development","docAbstract":"<p><span>Urban development has major impacts on connectivity among wildlife populations and is thus likely an important factor shaping pathogen transmission in wildlife. However, most investigations of wildlife diseases in urban areas focus on prevalence and infection risk rather than potential effects of urbanization on transmission itself. Feline immunodeficiency virus (FIV) is a directly transmitted retrovirus that infects many felid species and can be used as a model for studying pathogen transmission at landscape scales. We investigated phylogenetic relationships among FIV isolates sampled from five bobcat (</span><i>Lynx rufus<span>&nbsp;</span></i><span>) populations in coastal southern California that appear isolated due to major highways and dense urban development. Divergence dates among FIV phylogenetic lineages in several cases reflected historical urban growth and construction of major highways. We found strong FIV phylogeographic structure among three host populations north‐west of Los Angeles, largely coincident with host genetic structure. In contrast, relatively little FIV phylogeographic structure existed among two genetically distinct host populations south‐east of Los Angeles. Rates of FIV transfer among host populations did not vary significantly, with the lack of phylogenetic structure south‐east of Los Angeles unlikely to reflect frequent contemporary transmission among populations. Our results indicate that major barriers to host gene flow can also act as barriers to pathogen spread, suggesting potentially reduced susceptibility of fragmented populations to novel directly transmitted pathogens. Infrequent exchange of FIV among host populations suggests that populations would best be managed as distinct units in the event of a severe disease outbreak. Phylogeographic inference of pathogen transmission is useful for estimating the ability of geographic barriers to constrain disease spread and can provide insights into contemporary and historical drivers of host population connectivity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12927","usgsCitation":"Kozakiewicz, C.P., Burridge, C.P., Funk, W., Craft, M.E., Crooks, K.R., Fisher, R.N., Fountain-Jones, N.M., Jennings, M.K., Kraberger, S.J., Lee, J.S., Lyren, L.M., Riley, S.P., Serieys, L.E., VandeWoude, S., and Carver, S., 2020, Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development: Evolutionary Applications, v. 13, no. 3, p. 1806-1817, https://doi.org/10.1111/eva.12927.","productDescription":"12 p.","startPage":"1806","endPage":"1817","ipdsId":"IP-115355","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12927","text":"Publisher Index Page"},{"id":375558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles, San Diego","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.38818359375,\n              34.07086232376631\n            ],\n            [\n              -117.65258789062499,\n              34.07086232376631\n            ],\n            [\n              -117.65258789062499,\n              35.25907654252574\n            ],\n            [\n              -120.38818359375,\n              35.25907654252574\n            ],\n            [\n              -120.38818359375,\n              34.07086232376631\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.68554687499999,\n              32.55144352864431\n            ],\n            [\n              -114.949951171875,\n              32.55144352864431\n            ],\n            [\n              -114.949951171875,\n              34.25721644329402\n            ],\n            [\n              -117.68554687499999,\n              34.25721644329402\n            ],\n            [\n              -117.68554687499999,\n              32.55144352864431\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozakiewicz, Christopher P.","contributorId":212126,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":38423,"text":"School of Biological Sciences, University of Tasmania, Hobart, Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":790866,"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":790867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. 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Chris","affiliations":[],"preferred":false,"id":790868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craft, Meggan E.","contributorId":168372,"corporation":false,"usgs":false,"family":"Craft","given":"Meggan","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":790869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":790870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":790871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fountain-Jones, Nicholas M. 0000-0001-9248-8493","orcid":"https://orcid.org/0000-0001-9248-8493","contributorId":197452,"corporation":false,"usgs":false,"family":"Fountain-Jones","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":790873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraberger, Simona J","contributorId":225262,"corporation":false,"usgs":false,"family":"Kraberger","given":"Simona","email":"","middleInitial":"J","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":790874,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, Justin S.","contributorId":212111,"corporation":false,"usgs":false,"family":"Lee","given":"Justin","email":"","middleInitial":"S.","affiliations":[{"id":38413,"text":"Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":790875,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lyren, Lisa M.","contributorId":197457,"corporation":false,"usgs":false,"family":"Lyren","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790876,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Riley, Seth P.D.","contributorId":145429,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","middleInitial":"P.D.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":790877,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Serieys, Laurel E K","contributorId":225263,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel","email":"","middleInitial":"E K","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":790878,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":790879,"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":790880,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70228598,"text":"70228598 - 2020 - Climate and human water use diminish wetland networks supporting continental waterbird migration","interactions":[],"lastModifiedDate":"2022-02-14T17:22:16.822394","indexId":"70228598","displayToPublicDate":"2020-01-28T10:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and human water use diminish wetland networks supporting continental waterbird migration","docAbstract":"<p><span>Migrating waterbirds moving between upper and lower latitudinal breeding and wintering grounds rely on a limited network of endorheic lakes and wetlands when crossing arid continental interiors. Recent drying of global endorheic water stores raises concerns over deteriorating migratory pathways, yet few studies have considered these effects at the scale of continental flyways. Here, we investigate the resiliency of waterbird migration networks across western North America by reconstructing long-term patterns (1984–2018) of terminal lake and wetland surface water area in 26 endorheic watersheds. Findings were partitioned regionally by snowmelt- and monsoon-driven hydrologies and combined with climate and human water-use data to determine their importance in predicting surface water trends. Nonlinear patterns of lake and wetland drying were apparent along latitudinal flyway gradients. Pervasive surface water declines were prevalent in northern snowmelt watersheds (lakes −27%, wetlands −47%) while largely stable in monsoonal watersheds to the south (lakes −13%, wetlands +8%). Monsoonal watersheds represented a smaller proportion of total lake and wetland area, but their distribution and frequency of change within highly arid regions of the continental flyway increased their value to migratory waterbirds. Irrigated agriculture and increasing evaporative demands were the most important drivers of surface water declines. Underlying agricultural and wetland relationships however were more complex. Approximately 7% of irrigated lands linked to flood irrigation and water storage practices supported 61% of all wetland inundation in snowmelt watersheds. In monsoonal watersheds, small earthen dams, meant to capture surface runoff for livestock watering, were a major component of wetland resources (67%) that supported networks of isolated wetlands surrounding endorheic lakes. Ecological trends and human impacts identified herein underscore the importance of assessing flyway-scale change as our model depictions likely reflect new and emerging bottlenecks to continental migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15010","usgsCitation":"Donnelly, J., King, S.L., Silverman, N., Collins, D., Carrera-Gonzalez, E., Lafon-Terrazas, A., and Moore, J., 2020, Climate and human water use diminish wetland networks supporting continental waterbird migration: Global Change Biology, v. 26, no. 4, p. 2042-2059, https://doi.org/10.1111/gcb.15010.","productDescription":"18 p.","startPage":"2042","endPage":"2059","ipdsId":"IP-112789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15010","text":"Publisher Index Page"},{"id":395897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, J.P.","contributorId":276300,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.P.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silverman, N.L.","contributorId":276301,"corporation":false,"usgs":false,"family":"Silverman","given":"N.L.","email":"","affiliations":[{"id":56951,"text":"Adaptive Hydrology, LLC","active":true,"usgs":false}],"preferred":false,"id":834726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, D. P.","contributorId":276303,"corporation":false,"usgs":false,"family":"Collins","given":"D. P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carrera-Gonzalez, E.M.","contributorId":276304,"corporation":false,"usgs":false,"family":"Carrera-Gonzalez","given":"E.M.","affiliations":[{"id":56953,"text":"Ducks Unlimited - Mexico","active":true,"usgs":false}],"preferred":false,"id":834728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafon-Terrazas, A.","contributorId":276305,"corporation":false,"usgs":false,"family":"Lafon-Terrazas","given":"A.","email":"","affiliations":[{"id":56954,"text":"PROFAUNA","active":true,"usgs":false}],"preferred":false,"id":834729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, J.N.","contributorId":276306,"corporation":false,"usgs":false,"family":"Moore","given":"J.N.","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":834730,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207987,"text":"ofr20191150 - 2020 - Forecasting future beach width- A case study along the Florida Atlantic coast","interactions":[],"lastModifiedDate":"2022-04-21T20:23:34.454243","indexId":"ofr20191150","displayToPublicDate":"2020-01-28T10:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1150","displayTitle":"Forecasting Future Beach Width-A Case Study Along the Florida Atlantic Coast","title":"Forecasting future beach width- A case study along the Florida Atlantic coast","docAbstract":"<p>Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat, the beach width can be used as a proxy for habitat availability. An analysis was conducted along the Florida Atlantic coast with an initial goal of demonstrating a method that combines available data for shoreline and dune positions with a Kalman Filter algorithm developed to predict decadal-scale shoreline evolution and then uses these features to define future beach width. This section of the southeastern United States hosts the largest assemblage of nesting loggerhead sea turtles (<i>Caretta caretta</i>) in the world, in addition to other species, and critical habitat is designated as part of the species’ listing package under the Endangered Species Act of 1973 (16 U.S.C. ch. 35 § 1531 et seq) for most of the nesting beaches within the study area. This work introduces an approach to inform ecosystem services assessments using data typically derived for shoreline change and storm vulnerability models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191150","usgsCitation":"Long, J.W., Henderson, R.E., and Thompson, D.M., 2020, Forecasting future beach width—A case study along the Florida Atlantic coast: U.S. Geological Survey Open-File Report 2019–1150, 13 p., https://doi.org/10.3133/ofr20191150.","productDescription":"vi, 13 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112427","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1150/coverthb.jpg"},{"id":371577,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1150/ofr20191150.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1150"},{"id":399439,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109625.htm"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.771484375,\n              25.16517336866393\n            ],\n            [\n              -80.09033203125,\n              25.264568475331583\n            ],\n            [\n              -79.5849609375,\n              26.62781822639305\n            ],\n            [\n              -80.244140625,\n              28.013801376380712\n            ],\n            [\n              -81.23291015625,\n              30.751277776257812\n            ],\n            [\n              -81.76025390625,\n              30.770159115784214\n            ],\n            [\n              -81.73828125,\n              30.334953881988564\n            ],\n            [\n              -80.947265625,\n              28.401064827220896\n            ],\n            [\n              -80.419921875,\n              27.11781284232125\n            ],\n            [\n              -80.35400390625,\n              26.43122806450644\n            ],\n            [\n              -80.771484375,\n              25.16517336866393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/spcmsc\" data-mce-href=\"https://www.usgs.gov/centers/spcmsc\">St. Petersburg Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>600 4th Street South<br>St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-01-28","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":780042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rehenderson@contractor.usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":196870,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel","email":"rehenderson@contractor.usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780043,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208831,"text":"70208831 - 2020 - Spatiotemporal patterns of mineral and organic matter deposition across two San Francisco Bay-Delta tidal marshes","interactions":[],"lastModifiedDate":"2020-10-28T15:21:31.109361","indexId":"70208831","displayToPublicDate":"2020-01-28T08:26:19","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":"Spatiotemporal patterns of mineral and organic matter deposition across two San Francisco Bay-Delta tidal marshes","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Sediment deposition in tidal wetlands is a critical process that determines whether vertical growth will keep pace with sea-level rise. However, more information is needed on how sediment deposition varies spatially and temporally across wetlands, including the effects of elevation, tidal inundation, vegetation, and weather. We investigated variation in sediment deposition due to season, distance from channel, channel size, and vegetation composition at low and high salinity tidal marshes in the San Francisco Bay-Delta Estuary, California using sediment traps deployed monthly between December 2015 and November&nbsp;2016. Over the course of the year, sediment deposition ranged widely (1.4 – 174.0&nbsp;kg&nbsp;m<sup>−2</sup>&nbsp;yr<sup>−1</sup>) and averaged 19.5 ± 3.5&nbsp;kg&nbsp;m<sup>−2</sup>&nbsp;yr<sup>−1</sup>. Deposition increased with flooding duration, decreased with increasing distance from channels, and was highest during the spring and early summer. Higher wind speeds during the spring may have driven re-suspension from mudflats, promoting deposition. Ratios of organic-to-mineral deposition were twice as high at the fresher site and were correlated with differences in vegetation composition between sites. Our results suggest that seasonality, distance from sediment source, salinity regime, and channel size are important sources of spatiotemporal variation in deposition. These results are relevant to accretion sampling and wetland restoration design.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01259-3","usgsCitation":"Buffington, K., Janousek, C.N., Thorne, K., and Dugger, B.D., 2020, Spatiotemporal patterns of mineral and organic matter deposition across two San Francisco Bay-Delta tidal marshes: Wetlands, v. 40, p. 1395-1407, https://doi.org/10.1007/s13157-019-01259-3.","productDescription":"13 p.","startPage":"1395","endPage":"1407","ipdsId":"IP-112530","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":372835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta tidal marshes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.56004333496094,\n              38.16263584058641\n            ],\n            [\n              -122.42546081542967,\n              38.16263584058641\n            ],\n            [\n              -122.42546081542967,\n              38.25543637637947\n            ],\n            [\n              -122.56004333496094,\n              38.25543637637947\n            ],\n            [\n              -122.56004333496094,\n              38.16263584058641\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.06291198730467,\n              38.14049732264445\n            ],\n            [\n              -121.91322326660156,\n              38.14049732264445\n            ],\n            [\n              -121.91322326660156,\n              38.241955275979336\n            ],\n            [\n              -122.06291198730467,\n              38.241955275979336\n            ],\n            [\n              -122.06291198730467,\n              38.14049732264445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":783528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Bruce D.","contributorId":176167,"corporation":false,"usgs":false,"family":"Dugger","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":783529,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208621,"text":"70208621 - 2020 - Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates","interactions":[],"lastModifiedDate":"2020-04-06T22:00:14.898294","indexId":"70208621","displayToPublicDate":"2020-01-28T06:34:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates","docAbstract":"Large earthquakes like in Wenchuan in 2008, MW 7.9, Sichuan, China, provide opportunity for earthquake early warning (EEW) as many heavily shaken areas are far (~50 km) from the epicenter and warning time could be long enough (≥ 5 s) to take effective preventative action. On the other hand, earthquakes with magnitudes larger than ~M 6.5 are challenging for EEW since source dimensions need to be defined in order to adequately estimate shaking. The Finite-Fault Rupture Detector (FinDer) is an approach to identify fault rupture extents from real-time strong motion and/or broadband records. In this study, we playback local and regional on-scale strong motion waveforms recorded during the 2008 MW 7.9 Wenchuan, 2013 MW 6.6 Lushan, and 2017 MW 6.5 Jiuzhaigou earthquakes to study the performance of FinDer for the current layout of the China Strong Motion Network. Overall, the FinDer line-source models agree well with the observed spatial distribution of aftershocks and fault models determined from waveform inversion. However, since FinDer models are constructed to characterize seismic ground motions (as needed for EEW) instead of source parameters, the rupture length can be overestimated for events radiating high levels of high-frequency motions, as is the case in the Lushan earthquake. If the set of strong motion data used had been available in real-time, 50% to 80% of sites experiencing shaking of intensity MMI IV-VII (light to very strong) and 30% experiencing VIII-IX (severe to violent) could have been issued a warning with 10 s and 5 s, respectively, before the arrival of the destructive S-wave. We also show that loss estimates after devastating earthquakes based on the FinDer line-source are more accurate compared to a point-source model. For the Wenchuan earthquake, for example, they predict a four to six times larger number of fatalities and injured, which is consistent with official reports. At the same time, these losses could be provided 1/2~3 hours faster than if based on more complex inversion rupture models.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190117","usgsCitation":"Li, J., Bose, M., Wyss, M., Wald, D.J., Hutchinson, A., Clinton, J.F., Wu, Z., Jiang, C., and Zhou, S., 2020, Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 920-936, https://doi.org/10.1785/0120190117.","productDescription":"17 p.","startPage":"920","endPage":"936","ipdsId":"IP-111175","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","city":"Sichuan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              71.015625,\n              35.460669951495305\n            ],\n            [\n              100.8984375,\n              20.96143961409684\n            ],\n            [\n              115.6640625,\n              18.312810846425442\n            ],\n            [\n              123.3984375,\n              31.353636941500987\n            ],\n            [\n              123.74999999999999,\n              40.17887331434696\n            ],\n            [\n              135,\n              47.517200697839414\n            ],\n            [\n              123.3984375,\n              53.54030739150022\n            ],\n            [\n              114.60937499999999,\n              47.040182144806664\n            ],\n            [\n              122.34374999999999,\n              46.31658418182218\n            ],\n            [\n              107.22656249999999,\n              41.77131167976407\n            ],\n            [\n              94.921875,\n              44.33956524809713\n            ],\n            [\n              86.8359375,\n              49.38237278700955\n            ],\n            [\n              75.234375,\n              40.17887331434696\n            ],\n            [\n              71.015625,\n              35.460669951495305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Jiawei","contributorId":222638,"corporation":false,"usgs":false,"family":"Li","given":"Jiawei","email":"","affiliations":[{"id":40574,"text":"Institute of Geophysics, China Earthquake Administration, Beijing, China; School of Earth and Space Sciences, Peking University, Beijing, China; Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bose, Maren","contributorId":222639,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","email":"","affiliations":[{"id":40575,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wyss, Max","contributorId":222640,"corporation":false,"usgs":false,"family":"Wyss","given":"Max","email":"","affiliations":[{"id":40576,"text":"International Centre for Earth Simulation Foundation, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hutchinson, Alexandra","contributorId":222641,"corporation":false,"usgs":false,"family":"Hutchinson","given":"Alexandra","email":"","affiliations":[{"id":40577,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland; Institut français des sciences et technologies des transports, de l'aménagement et des réseaux (IFSTTAR), Paris, France","active":true,"usgs":false}],"preferred":false,"id":782766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clinton, John F.","contributorId":222642,"corporation":false,"usgs":false,"family":"Clinton","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":40575,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":782767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Zhongliang","contributorId":222643,"corporation":false,"usgs":false,"family":"Wu","given":"Zhongliang","email":"","affiliations":[{"id":40578,"text":"Institute of Earthquake Forecasting, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, Changsheng","contributorId":222644,"corporation":false,"usgs":false,"family":"Jiang","given":"Changsheng","email":"","affiliations":[{"id":40579,"text":"Institute of Geophysics, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhou, Shiyong","contributorId":222645,"corporation":false,"usgs":false,"family":"Zhou","given":"Shiyong","email":"","affiliations":[{"id":40580,"text":"School of Earth and Space Sciences, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":782770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70259725,"text":"70259725 - 2020 - Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park","interactions":[],"lastModifiedDate":"2024-10-21T11:35:41.556847","indexId":"70259725","displayToPublicDate":"2020-01-28T06:34:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park","docAbstract":"<div class=\"article-section__content en main\"><p>Recent activity has provided new insights into the causes of surface deformation in and around the Yellowstone Caldera, a topic that has been debated since the discovery of caldera floor uplift more than four decades ago. An episode of unusually rapid uplift (&gt;15 cm/yr) centered near Norris Geyser Basin along the north caldera rim began in late 2013 and continued until a<span>&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;</span>4.9 earthquake on 30 March 2014; thereafter, uplift abruptly switched to subsidence. Uplift at rates of several centimeters per year resumed in 2016 and continued at least through the end of 2018. Modeling of Global Positioning System and interferometric synthetic aperture radar data suggests an evolving process of deep magma intrusion during 1996–2001 followed by volatile ascent and accumulation at shallow levels, perhaps as shallow as a few hundred meters depth. The depth of shallow volatile accumulation appears to have shallowed from the 2014 to the 2016 deformation episode, and frequent eruptions of Steamboat Geyser since March 2018 are likely a surface manifestation of this ongoing process. Hydrothermal explosion features are prominent in the Norris Geyser Basin area, and the apparent shallow nature of the volatile accumulation implies an increased risk of hydrothermal explosions.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018208","usgsCitation":"Wicks, C., Dzurisin, D., Lowenstern, J.B., and Svarc, J.L., 2020, Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park: Journal of Geophysical Research- Solid Earth, v. 125, no. 2, e2019JB018208, 13 p., https://doi.org/10.1029/2019JB018208.","productDescription":"e2019JB018208, 13 p.","ipdsId":"IP-106876","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb018208","text":"Publisher Index Page"},{"id":463058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.12830710041113,\n              45.05846560811668\n            ],\n            [\n              -111.12830710041113,\n              43.421486100190435\n            ],\n            [\n              -108.70032858478615,\n              43.421486100190435\n            ],\n            [\n              -108.70032858478615,\n              45.05846560811668\n            ],\n            [\n              -111.12830710041113,\n              45.05846560811668\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":916464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":916467,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228334,"text":"70228334 - 2020 - Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","interactions":[],"lastModifiedDate":"2022-02-10T12:01:02.411732","indexId":"70228334","displayToPublicDate":"2020-01-27T16:26:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","docAbstract":"Populations of wild spring-run Chinook salmon in California’s Central Valley, once numbering in the millions, have dramatically declined to record low numbers. Dam construction, habitat degradation, and altered flow regimes have all contributed to depress populations, which currently persist in only a few tributaries to the Sacramento River. Mill Creek (Tehama County) continues to support these threatened fish, and contains some of the most pristine spawning and rearing habitat available in the Central Valley. Despite this pristine habitat, the number of Chinook salmon returning to spawn has declined to record low numbers, likely due to poor outmigration survival rates. From 2013-2017, 334 smolts were captured and acoustic tagged while out-migrating from Mill Creek, allowing for movement and survival rates to be tracked over 250 kilometers through the Sacramento River. During this study California experienced both a historic drought and record rainfall, resulting in dramatic fluctuations in year-to-year river flow and water temperature. Cumulative survival of tagged smolts from Mill Creek through the Sacramento River was 9.5% (±1.6) during the study, with relatively low survival during historic drought conditions in 2015 (4.9% ± 1.6) followed by increased survival during high flows in 2017 (42.3% ± 9.1). Survival in Mill Creek and the Sacramento River was modeled over a range of flow values, which indicated that higher flows in each region result in increased survival rates. Survival estimates gathered in this study can help focus management and restoration actions over a relatively long migration corridor to specific regions of low survival, and provide guidance for management actions in the Sacramento River aimed at restoring populations of threatened Central Valley spring-run Chinook salmon.","language":"English","publisher":"Wiley","doi":"10.1007/s10641-020-00952-1","usgsCitation":"Notch, J.J., McHuron, A.S., Michel, C., Cordoleani, F., Johnson, M., Henderson, M., and Ammann, A., 2020, Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions: Environmental Biology of Fishes, v. 103, p. 561-576, https://doi.org/10.1007/s10641-020-00952-1.","productDescription":"16 p.","startPage":"561","endPage":"576","ipdsId":"IP-110532","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-020-00952-1","text":"Publisher Index Page"},{"id":395740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen National Forest, Lassen National Park, Mill Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.60693359374999,\n              37.26530995561875\n            ],\n            [\n              -121.6845703125,\n              37.26530995561875\n            ],\n            [\n              -121.6845703125,\n              41.062786068733026\n            ],\n            [\n              -124.60693359374999,\n              41.062786068733026\n            ],\n            [\n              -124.60693359374999,\n              37.26530995561875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Notch, Jeremy J.","contributorId":275201,"corporation":false,"usgs":false,"family":"Notch","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHuron, Alex S.","contributorId":275202,"corporation":false,"usgs":false,"family":"McHuron","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril J.","contributorId":275203,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordoleani, Flora","contributorId":275204,"corporation":false,"usgs":false,"family":"Cordoleani","given":"Flora","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Matt","contributorId":275205,"corporation":false,"usgs":false,"family":"Johnson","given":"Matt","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":833810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":833805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ammann, Arnold J.","contributorId":275206,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833811,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","interactions":[{"subject":{"id":9000559,"text":"ds568 - 2010 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010","indexId":"ds568","publicationYear":"2010","noYear":false,"displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort Sea and Neighboring Regions, Alaska, 1910–2010","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort Sea and neighboring regions, Alaska, 1910–2010"},"predicate":"SUPERSEDED_BY","object":{"id":70207463,"text":"ds1121 - 2020 - Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","indexId":"ds1121","publicationYear":"2020","noYear":false,"title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018"},"id":1}],"lastModifiedDate":"2020-01-28T06:12:59","indexId":"ds1121","displayToPublicDate":"2020-01-27T15:25:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1121","displayTitle":"Catalogue of Polar Bear (<em>Ursus maritimus</em>) Maternal Den Locations in the Beaufort and Chukchi Seas and Nearby Areas, 1910–2018","title":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018","docAbstract":"<p class=\"p1\">This report presents data on the approximate locations and methods of discovery of 530 polar bear (<i>Ursus maritimus</i>) maternal dens observed in the Beaufort and Chukchi Seas and neighboring areas from 1910 to 2018, and archived partly by the U.S. Geological Survey, Alaska Science Center, and partly by the U.S. Fish and Wildlife Service, Marine Mammals Management, in Anchorage, Alaska. A description of data collection methods and their associated biases, primary data collection time periods, and estimated position uncertainty are provided. Polar bears in the Beaufort and Chukchi Seas den on sea ice and land. Standardized very high frequency (VHF) aircraft surveys and satellite radio telemetry data provide a general understanding of where polar bears have denned in this region over the past 3 decades. Den observations made during other research activities and anecdotal reports from other government agencies, coastal residents, and industry personnel also are reported. These data on past polar bear maternal den locations are provided to inform decision making by natural resource agencies and for public use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1121","usgsCitation":"Durner, G.M., Amstrup, S.C., Atwood, T.C., Douglas, D.C., Fischbach, A.S., Olson, J.W., Rode, K.D., and Wilson, R.R., 2020, Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi Seas and nearby areas, 1910–2018: U.S. Geological Survey Data Series 1121, 12 p., including appendixes, https://doi.org/10.3133/ds1121. [Supersedes USGS Data Series 568.]","productDescription":"Report: iv, 12 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-110346","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":371581,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1121/ds1121.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1121"},{"id":371580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1121/coverthb.jpg"},{"id":371582,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RPHH50","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Catalogue of polar bear (Ursus maritimus) maternal den locations in the Beaufort and Chukchi seas and nearby areas, 1910–2018 (ver. 2.0, January 2020)"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.9052734375,\n              69.58056349224898\n            ],\n            [\n              -157.939453125,\n              70.61261423801925\n            ],\n            [\n              -155.17089843749997,\n              70.67088107015755\n            ],\n            [\n              -150.9521484375,\n              70.12542991464234\n            ],\n            [\n              -145.810546875,\n              69.8244707739378\n            ],\n            [\n              -142.5146484375,\n              69.76375692223178\n            ],\n            [\n              -141.6796875,\n              69.68761843185617\n            ],\n            [\n              -141.4599609375,\n              70.06558465579644\n            ],\n            [\n              -145.1513671875,\n              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99508-4560</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Discovery</li><li>Distribution of Den Locations</li><li>Summary and Data Availability</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1–3</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-01-27","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":778143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":778144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":778145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":778146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":778147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olson, Jay W.","contributorId":221429,"corporation":false,"usgs":false,"family":"Olson","given":"Jay","email":"","middleInitial":"W.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":778150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":778148,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":778149,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70214023,"text":"70214023 - 2020 - Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids","interactions":[],"lastModifiedDate":"2020-09-21T14:14:22.816179","indexId":"70214023","displayToPublicDate":"2020-01-27T09:10:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids","docAbstract":"<p><span>To simulate the effects of wildfire on the combustion process in soils and their potential to leach organic compounds into streams and groundwater, mineral soil samples were heated at temperatures of 150–550 °C. Then, the soils were leached with deionized water, filtered, and analyzed for dissolved organic carbon. The water extract was concentrated by both XAD-8 and XAD-4 resins and analyzed by C-13 nuclear magnetic resonance and liquid chromatography time-of-flight mass spectrometry. Approximately 15–20% of the water-extractable organic carbon was identified as benzene dicarboxylic acids, tricarboxylic acids, and tetracarboxylic acid isomers, commonly called BPCAs. Also identified were isomers of pyridine dicarboxylic acids and tricarboxylic acids (PCAs). The conversion of soil organic carbon to BPCAs occurs at 250 °C and reaches a maximum between 350 and 450 °C. At higher temperatures (&gt;450 °C), the BPCA concentrations decrease, suggesting decarboxylation and conversion to carbon dioxide and water. This is the first report of BPCAs and PCAs in water-extractable organic carbon from thermally altered soil and suggest that these compounds are possible candidates for further water-quality studies in watersheds affected by wildfire. Finally, BPCAs and PCAs could contribute to the black carbon and nitrogen in seawater and are worthy of future investigation.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.9b05230","usgsCitation":"Thurman, E.M., Yu, Y., Ferrer, I., Thorn, K., and Rosario-Ortiz, F.L., 2020, Molecular identification of water-extractable organic carbon from thermally heated soils: C-13 NMR and accurate mass analyses find benzene and pyridine carboxylic acids: Environmental Science and Technology, v. 54, no. 5, p. 2994-3001, https://doi.org/10.1021/acs.est.9b05230.","productDescription":"8 p.","startPage":"2994","endPage":"3001","ipdsId":"IP-108068","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":378595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Thurman, Earl Michael","contributorId":240986,"corporation":false,"usgs":false,"family":"Thurman","given":"Earl","email":"","middleInitial":"Michael","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Yun","contributorId":240988,"corporation":false,"usgs":false,"family":"Yu","given":"Yun","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrer, Imma","contributorId":169362,"corporation":false,"usgs":false,"family":"Ferrer","given":"Imma","email":"","affiliations":[{"id":25480,"text":"Univ of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":799262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosario-Ortiz, Fernando L.","contributorId":240990,"corporation":false,"usgs":false,"family":"Rosario-Ortiz","given":"Fernando","email":"","middleInitial":"L.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":799263,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223371,"text":"70223371 - 2020 - Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting","interactions":[],"lastModifiedDate":"2021-08-25T13:11:18.644277","indexId":"70223371","displayToPublicDate":"2020-01-27T08:08:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Water temperature influences both morphological and physiological development in fishes. However, the effects of water temperature on the early development of Alligator Gar<span>&nbsp;</span><i>Atractosteus spatula</i><span>&nbsp;</span>and Spotted Gar<span>&nbsp;</span><i>Lepisosteus oculatus</i><span>&nbsp;</span>are not well understood. Both gar species were collected from natural environments and spawned in a hatchery setting. After spawning, fertilized embryos were collected and transferred to the Oklahoma Fishery Research Laboratory, where the embryos (50–72&nbsp;embryos/treatment) were placed into one of five water temperature treatments (15.5, 20.0, 23.8, 27.5, and 32.2°C) and observed over time to estimate the time to hatch and the time to reach the free-swimming stage. Both species showed an inverse relationship between temperature and the timing of hatch and advancement to free-swimming fingerlings for all treatments. In addition, Alligator Gar embryos did not develop at the coldest water temperature tested, and Alligator Gar juveniles held at the warmest temperature tested were observed with developmental abnormalities, potentially affecting their survival. The same temperature extremes had no comparable negative effect on Spotted Gar. The results of this study are useful for understanding early life history dynamics of these two species in their natural environments and can also be used by hatchery managers who are seeking to optimize their production protocols.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10397","usgsCitation":"Long, J.M., Snow, R.A., and Porta, M., 2020, Effects of temperature on hatching rate and early development of alligator gar and spotted gar in a laboratory setting: North American Journal of Fisheries Management, v. 40, no. 3, p. 661-668, https://doi.org/10.1002/nafm.10397.","productDescription":"8 p.","startPage":"661","endPage":"668","ipdsId":"IP-102712","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":264712,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":821884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porta, M. J.","contributorId":264714,"corporation":false,"usgs":false,"family":"Porta","given":"M. J.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":821886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227519,"text":"70227519 - 2020 - Testing four hypotheses to explain partial migration: Balancing reproductive benefits with limits to fasting endurance","interactions":[],"lastModifiedDate":"2022-01-20T13:11:20.29443","indexId":"70227519","displayToPublicDate":"2020-01-27T07:09:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Testing four hypotheses to explain partial migration: Balancing reproductive benefits with limits to fasting endurance","docAbstract":"<p>Seasonal migration is ubiquitous in animals, and yet its underlying cause(s) remain poorly known. Species exhibiting short-distance altitudinal migration and intraspecific variation in migratory behavior (partial or differential migration) are ideal study systems for examining the selective pressures that affect individual migratory decisions. We used an individually marked population of yellow-eyed juncos, breeding along a 1000-m elevational gradient and migrating up and down that gradient, to examine the morphological, behavioral, and reproductive traits associated with migratory behavior. We tested the four most well-known hypotheses proposed to explain partial migration: the thermal tolerance, fasting endurance, dominance, and arrival time hypotheses. Our results indicate that: (1) limits to juncos’ fasting endurance constrain their ability to overwinter at high elevations, in support of the fasting endurance hypothesis, (2) differences in body size mediate fasting ability and are associated with variation in migratory behavior and overwinter apparent survival, (3) migratory behavior interacts with reproductive success, in partial support of the arrival time hypothesis, and (4) additional mechanisms that are not captured by the four well-known hypotheses might better explain individual variation in migratory behavior. Less migratory females achieved greater nesting success the following breeding season. Among males, nesting success influenced migratory tendency the following winter. Successful males may either migrate to a more benign winter climate without paying reproductive costs, or high levels of parental effort might physiologically constrain their ability to overwinter in harsh climates.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00265-019-2796-3","usgsCitation":"Lundblad, C., and Conway, C.J., 2020, Testing four hypotheses to explain partial migration: Balancing reproductive benefits with limits to fasting endurance: Behavioral Ecology and Sociobiology, v. 74, 26, https://doi.org/10.1007/s00265-019-2796-3.","productDescription":"26","ipdsId":"IP-111258","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/638069","text":"External Repository"},{"id":394569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":831232,"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":831231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208615,"text":"70208615 - 2020 - Earthquakes, did you feel it?","interactions":[],"lastModifiedDate":"2020-02-21T07:00:27","indexId":"70208615","displayToPublicDate":"2020-01-27T06:59:34","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquakes, did you feel it?","docAbstract":"<p id=\"Par1\" class=\"Para\">The US Geological Survey (USGS) “Did You Feel It?”<i class=\"EmphasisTypeItalic \">®</i><span>&nbsp;</span>(DYFI) system is an automated system for rapidly collecting macroseismic intensity data from Internet users’ shaking and damage reports and generating intensity maps immediately following earthquakes.</p><p id=\"Par2\" class=\"Para\">Although the collection and assignment of DYFI-based Macroseismic Intensity (MI) data depart from traditional assignments, they are made more quickly, provide more complete coverage at higher spatial resolution, offer citizen input and interaction, and allow data collection at rates and quantities that were not previously possible. These aspects of Internet-based data collection, in turn, allow for data analyses, graphics, and ways to communicate with the public, opportunities that were not feasible with traditional data-collection approaches.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Solid Earth Geophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-10475-7_254-1","usgsCitation":"Wald, D.J., Quitoriano, V., and Dewey, J.W., 2020, Earthquakes, did you feel it?, chap. <i>of</i> Encyclopedia of Solid Earth Geophysics, https://doi.org/10.1007/978-3-030-10475-7_254-1.","ipdsId":"IP-109501","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208613,"text":"70208613 - 2020 - Book review: The Dynamics of Risk: Changing Technologies and Collective Action in Seismic Events","interactions":[],"lastModifiedDate":"2020-06-04T16:55:16.410774","indexId":"70208613","displayToPublicDate":"2020-01-26T06:39:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Book review: <i>The Dynamics of Risk: Changing Technologies and Collective Action in Seismic Events</i>","title":"Book review: The Dynamics of Risk: Changing Technologies and Collective Action in Seismic Events","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SAGE","doi":"10.1177/8755293019892011","usgsCitation":"Wald, D.J., 2020, Book review: The Dynamics of Risk: Changing Technologies and Collective Action in Seismic Events: Earthquake Spectra, v. 36, no. 2, p. 1005-1008, https://doi.org/10.1177/8755293019892011.","productDescription":"4 p.","startPage":"1005","endPage":"1008","ipdsId":"IP-112273","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782730,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}