Riverscape genetics, which applies concepts in landscape genetics to riverine ecosystems, lack appropriate quantitative methods that address the spatial autocorrelation structure of linear stream networks and account for bidirectional geneflow. To address these challenges, we present a general framework for the design and analysis of riverscape genetic studies. Our framework starts with the estimation of pairwise genetic distance at sample sites and the development of a spatially structured ecological network (SSEN) on which riverscape covariates are measured. We then introduce the novel bidirectional geneflow in riverscapes (BGR) model that uses principles of isolation-by-resistance to quantify the effects of environmental covariates on genetic connectivity, with spatial covariance defined using simultaneous autoregressive models on the SSEN and the generalized Wishart distribution to model pairwise distance matrices arising through a random walk model of geneflow. We highlight the utility of this framework in an analysis of riverscape genetics for brook trout (Salvelinus fontinalis) in north central Pennsylvania, USA. Using the fixation index (FST) as the measure of genetic distance, we estimated the effects of 12 riverscape covariates on geneflow by evaluating the relative support of eight competing BGR models. We then compared the performance of the top-ranked BGR model to results obtained from comparable analyses using multiple regression on distance matrices (MRM) and the program STRUCTURE. We found that the BGR model had more power to detect covariate effects, particularly for variables that were only partial barriers to geneflow and/or uncommon in the riverscape, making it more informative for assessing patterns of population connectivity and identifying threats to species conservation. This case study highlights the utility of our modeling framework over other quantitative methods in riverscape genetics, particularly the ability to rigorously test hypotheses about factors that influence geneflow and probabilistically estimate the effect of riverscape covariates, including stream flow direction. This framework is flexible across taxa and riverine networks, is easily executable, and provides intuitive results that can be used to investigate the likely outcomes of current and future management scenarios.
Native plant materials (NPMs) are increasingly utilized during the restoration of disturbed plant communities. Here, we analyze next‐generation genetic sequencing data for Hilaria jamesii, a dominant graminoid across drylands of the southwestern United States, and document that the species' only commercially‐available NPM, ‘Viva’, is a hybrid between H. jamesii and its sister species, H. mutica. In fact, hybrids between these species are common where they geographically overlap. Furthermore, we show that the ‘Viva’ hybrid has successfully been moved beyond the hybrid zone and into the core range of H. jamesii. The potential ramifications of introducing novel genetic material into H. jamesii are discussed, as well as the utility of genetic analyses to protect species natural patterns of genetic diversity and help managers make informed decisions regarding the development and deployment of NPMs.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13189","usgsCitation":"Winkler, D.E., and Massatti, R., 2020, Unexpected hybridization reveals the utility of genetics in native plant restoration: Restoration Ecology, v. 28, no. 5, p. 1047-1052, https://doi.org/10.1111/rec.13189.","productDescription":"6 p.","startPage":"1047","endPage":"1052","ipdsId":"IP-114670","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437013,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V2PR9J","text":"USGS data release","linkHelpText":"'Viva' native plant material data in support of restoration and conservation"},{"id":378001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Chihuahua, Coahuila, Nevada, New Mexico, Oklahoma, Sonora, Texas, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.07421875,\n 25.799891182088334\n ],\n [\n -97.734375,\n 31.80289258670676\n ],\n [\n -99.052734375,\n 33.65120829920497\n ],\n [\n -101.77734374999999,\n 35.460669951495305\n ],\n [\n -102.216796875,\n 37.50972584293751\n ],\n [\n -103.095703125,\n 39.436192999314095\n ],\n [\n -105.29296874999999,\n 38.61687046392973\n ],\n [\n -104.0625,\n 36.4566360115962\n ],\n [\n -106.5234375,\n 36.10237644873644\n ],\n [\n -107.314453125,\n 37.43997405227057\n ],\n [\n -106.787109375,\n 42.032974332441405\n ],\n [\n -110.390625,\n 42.94033923363181\n ],\n [\n -111.357421875,\n 38.34165619279595\n ],\n [\n -113.291015625,\n 40.58058466412761\n ],\n [\n -114.43359375,\n 41.04621681452063\n ],\n [\n -115.6640625,\n 38.61687046392973\n ],\n [\n -118.30078125,\n 39.36827914916014\n ],\n [\n -120.84960937499999,\n 39.095962936305476\n ],\n [\n -118.30078125,\n 35.460669951495305\n ],\n [\n -117.333984375,\n 33.358061612778876\n ],\n [\n -114.43359375,\n 30.14512718337613\n ],\n [\n -114.697265625,\n 31.728167146023935\n ],\n [\n -112.8515625,\n 30.826780904779774\n ],\n [\n -112.1484375,\n 28.536274512989916\n ],\n [\n -111.533203125,\n 29.611670115197377\n ],\n [\n -111.4453125,\n 32.32427558887655\n ],\n [\n -109.51171875,\n 30.751277776257812\n ],\n [\n -108.544921875,\n 29.458731185355344\n ],\n [\n -107.314453125,\n 31.952162238024975\n ],\n [\n -105.64453124999999,\n 31.42866311735861\n ],\n [\n -103.88671875,\n 26.509904531413927\n ],\n [\n -101.07421875,\n 25.799891182088334\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797588,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222524,"text":"70222524 - 2020 - Post-1978 tumescence at Long Valley Caldera, California: A geophysical perspective","interactions":[],"lastModifiedDate":"2021-08-03T13:01:27.959593","indexId":"70222524","displayToPublicDate":"2020-04-27T07:59:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-1978 tumescence at Long Valley Caldera, California: A geophysical perspective","docAbstract":"Long Valley Caldera has been restless since at least 1978. Prominent symptoms of this unrest include earthquake swarms and tumescence (inflation) centered on the resurgent dome. Over the years, interpretations of physical processes underlying this unrest have varied considerably. Results from a collection of geophysical studies infer the presence and/or active intrusion of magma in the crust. Geologic evidence, however, does not support recent magmatic activity in the caldera, leading to an interpretation that the caldera volcanic system is moribund, and the current unrest is a result of second boiling (aqueous fluids released during crystallization of the rhyolitic magma that produced the Bishop Tuff). Here, we examine the collective constraints provided by geophysical studies over the past four decades. Although the current geophysical evidence does not conclusively discriminate between unrest driven by recent crustal magmatic intrusion versus second boiling, it does provide evidence that a large volume of partial melt persists within the mid- and lower crust. This implies that the Long Valley Caldera system as a whole is long-lived, and the magma reservoir remains at least partially molten. In the shallow crust, the possibility of small pockets of magma remains. In aggregate, the data suggest commonality with other large, long-lived silicic caldera systems, such as Yellowstone and Campi Flegrei. Although the possibility of eruption within Long Valley Caldera remains unlikely, the geophysical evidence argues that Long Valley has an active magmatic system at depth and we must retain the possibility of eruptive hazards.
Context Since 2005, unconventional gas develop[1]ment has rapidly altered forests across the Marcellus[1]Utica shale basin in the central Appalachian region of the eastern United States, an area of high conservation value for biodiversity. Much is still unknown about ecological impacts of associated land cover change. Objectives Our goal was to identify threshold responses among bird species and habitat guilds to (1) overall forest loss and fragmentation in affected landscapes, and (2) distance from anthropogenic landscapes, and (2) distance from anthropogenic disturbance, both related and unrelated to shale gas. Methods We conducted 2589 bird surveys at 190 sites across this region, and quantified community[1]level and species-specific thresholds relating to forest cover and distance to anthropogenic disturbance, using Threshold Indicator Taxa Analysis (TITAN). Results Forest interior species decreased abruptly in abundance and frequency of occurrence above a threshold of 17.0% overall forest loss, while early successional and synanthropic species increased abruptly above 30.5–36.5% forest loss, respectively. Broad quantile intervals around responses to distance from anthropogenic disturbance suggest these were not sharp threshold responses, but more gradual or linear responses. Among forest interior species evaluated, 48.1% increased in abundance farther from shale gas development, while 55.6% of early successional and synanthropic species decreased. Conclusions We found evidence of avian threshold responses to overall forest loss and fragmentation in affected landscapes across the Marcellus-Utica shale region. Our results suggest that efforts to avoid shale gas development in regional core forests—particularly those still retaining C 83% forest cover—can reduce negative effects on area-sensitive, forest interior dependent species
","language":"English","publisher":"Springer","doi":"10.1007/s10980-020-01019-3","usgsCitation":"Farwell, L.S., Wood, P.B., Dettmers, R., and Brittingham, M.C., 2020, Threshold responses of songbirds to forest loss and fragmentation across the Marcellus-Utica shale gas region: Landscape Ecology, v. 35, no. 6, p. 1353-1370, https://doi.org/10.1007/s10980-020-01019-3.","productDescription":"18 p.","startPage":"1353","endPage":"1370","ipdsId":"IP-109328","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New York, Ohio, Pennsylvania, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.77221679687499,\n 39.825413103424786\n ],\n [\n -76.409912109375,\n 40.97989806962013\n ],\n [\n -75.91552734375,\n 41.95949009892467\n ],\n [\n -74.959716796875,\n 42.8115217450979\n ],\n [\n -76.146240234375,\n 43.229195113965005\n ],\n [\n -78.02490234375,\n 43.13306116240612\n ],\n [\n -79.34326171875,\n 42.415346114253616\n ],\n [\n -81.331787109375,\n 41.713930073371294\n ],\n [\n -82.36450195312499,\n 41.32732632036622\n ],\n [\n -83.133544921875,\n 41.6154423246811\n ],\n [\n -83.924560546875,\n 41.623655390686395\n ],\n [\n -84.638671875,\n 41.541477666790286\n ],\n [\n -84.67163085937499,\n 38.89958342598271\n ],\n [\n -84.627685546875,\n 38.831149809348744\n ],\n [\n -83.70483398437499,\n 36.84446074079564\n ],\n [\n -81.463623046875,\n 37.39634613318923\n ],\n [\n -77.77221679687499,\n 39.825413103424786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Farwell, Laura S.","contributorId":274766,"corporation":false,"usgs":false,"family":"Farwell","given":"Laura","email":"","middleInitial":"S.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":833306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettmers, Randy","contributorId":48534,"corporation":false,"usgs":true,"family":"Dettmers","given":"Randy","affiliations":[],"preferred":false,"id":833433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brittingham, Margaret C.","contributorId":131143,"corporation":false,"usgs":false,"family":"Brittingham","given":"Margaret","email":"","middleInitial":"C.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":833434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209823,"text":"70209823 - 2020 - The incubation environment of nests deposited by a genetically distinct group of loggerhead sea turtles in Northwest Florida","interactions":[],"lastModifiedDate":"2020-05-05T17:27:04.980551","indexId":"70209823","displayToPublicDate":"2020-04-25T06:58:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The incubation environment of nests deposited by a genetically distinct group of loggerhead sea turtles in Northwest Florida","docAbstract":"The warming climate presents a challenge to conservation of all threatened and endangered species but particularly to those that exhibit temperature-dependent sex determination such as sea turtles. Changes in temperature may result in changes in the sex ratio of the population which can directly affect reproductive rate, abundance and population dynamics. The NW Atlantic loggerhead turtle population is listed as threatened under the U.S. Endangered Species Act, and one of the smallest subpopulations in this assemblage nests in the northern Gulf of Mexico. Here, we describe the incubation environment of northern Gulf of Mexico loggerheads nesting at several different beaches in Northwest Florida. Temperature dataloggers were placed inside and adjacent to nests on different nesting beaches across Northwest Florida. In addition, incubation durations were recorded from nests deposited on those same beaches. Internal nest temperatures were higher than those in the sand, however sand temperatures were correlated with incubation durations. Sand temperatures differed along the vertical beach profile and according to depth. Temperatures also differed along a geographic gradient across Northwest Florida and in relation to distance from the Apalachicola River. Incubation durations followed a similar pattern. Mean monthly temperatures at all sites were at or lower than 29 °C (range 23.1 °C–29.6 °C at the dunes; 23.8 °C–29.4 °C at mid-beach) which suggests nests in Northwest Florida may be producing a significant number of males, in contrast to the large number of females being produced on Florida's Atlantic coast. The temperatures and incubation durations on these nesting beaches may be regulated by differing sources of sand and beach orientations across Northwest Florida.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.gecco.2020.e01070","collaboration":"","usgsCitation":"Lamont, M., Johnson, D., and Carthy, R., 2020, The incubation environment of nests deposited by a genetically distinct group of loggerhead sea turtles in Northwest Florida: Global Ecology and Conservation, v. 23, e01070, 49 p., https://doi.org/10.1016/j.gecco.2020.e01070.","productDescription":"e01070, 49 p.","ipdsId":"IP-113153","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e01070","text":"Publisher Index Page"},{"id":374392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northwest Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.72607421875,\n 29.57345707301757\n ],\n [\n -84.0234375,\n 29.57345707301757\n ],\n [\n -84.0234375,\n 30.65681556429287\n ],\n [\n -86.72607421875,\n 30.65681556429287\n ],\n [\n -86.72607421875,\n 29.57345707301757\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":211374,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":788172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":788173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":788174,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247973,"text":"70247973 - 2020 - Coseismic and post-seismic gravity disturbance induced by seismic sources using a 2.5-D spectral element method","interactions":[],"lastModifiedDate":"2023-08-30T11:38:35.216739","indexId":"70247973","displayToPublicDate":"2020-04-25T06:37:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic and post-seismic gravity disturbance induced by seismic sources using a 2.5-D spectral element method","docAbstract":"I present a prescription for computing free-air coseismic and post-seismic gravity changes induced by seismic sources in a viscoelastic earth model. I assume a spherical earth geometry and a 2.5-D calculation, that is, 3-D motions that satisfy the equations of quasi-static equilibrium on a 2-D viscoelastic structure. The prescription permits application to regional gravity computations where a 2-D structure adequately represents the structural heterogeneity. I use a hybrid approach where deformation is computed on a discretized domain and the resulting density perturbations are expanded with spherical harmonics to produce the free-air gravity field. Starting with a solution to the equations of quasi-static displacements in the Laplace transform domain for a given dislocation source, I solve Poisson’s equation using Lagrangian interpolation on spectral element nodes to compute the required deformation quantities that contribute to free-air gravity. A numerical inverse Laplace transform then yields time domain results. This methodology is tested with analytic solutions on a spherically stratified viscoelastic structure, then applied to evaluate the effect of a descending slab of relatively high viscosity on post-seismic gravity in a megathrust faulting setting.
","language":"English","publisher":"Royal Astronomical Society","doi":"10.1093/gji/ggaa151","usgsCitation":"Pollitz, F., 2020, Coseismic and post-seismic gravity disturbance induced by seismic sources using a 2.5-D spectral element method: Geophysical Journal International, v. 122, no. 2, p. 827-844, https://doi.org/10.1093/gji/ggaa151.","productDescription":"18 p.","startPage":"827","endPage":"844","ipdsId":"IP-112024","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggaa151","text":"Publisher Index Page"},{"id":420296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":881376,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70211280,"text":"70211280 - 2020 - Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success","interactions":[],"lastModifiedDate":"2020-08-04T14:30:08.001153","indexId":"70211280","displayToPublicDate":"2020-04-24T10:36:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success","docAbstract":"Invasive grass carp (Ctenopharyngodon idella) are known to spawn in the Sandusky River, Ohio, USA, within the Great Lakes Basin, and are threatening to expand throughout the Great Lakes. Successful spawning is thought to require that eggs remain in suspension until hatching, which depends on river hydrodynamics and temperature-dependent egg development. Previous modelling efforts used one-dimensional hydrodynamic models that simplify egg movement by not simulating low-velocity zones within the river. To examine the effect of low-velocity zones on egg transit times and hatching rates, we developed a novel coupling of a biophysical Lagrangian particle tracker and three-dimensional hydrodynamic model on the Sandusky River during a high-flow event. The model successfully predicted egg-capture data for a range of developmental stages and revealed a mechanism that resuspends eggs trapped in low-velocity zones. The resuspension mechanism increases the residence time of grass carp eggs in spawning tributaries and can lead to successful hatching occurring in shorter distances than previously estimated. Grass carp potentially spawning in shorter tributary lengths has widespread implications for efforts preventing establishment in the Great Lakes Basin.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0344","usgsCitation":"Heer, T., Wells, M.G., Jackson, P.R., and Mandrak, N.E., 2020, Modelling grass carp egg transport using a 3-D hydrodynamic river model: The role of egg retention in dead zones on spawning success: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 8, p. 1379-1392, https://doi.org/10.1139/cjfas-2019-0344.","productDescription":"14 p.","startPage":"1379","endPage":"1392","ipdsId":"IP-109963","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501026,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/101564","text":"External Repository"},{"id":437014,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M9080M","text":"USGS data release","linkHelpText":"Velocity, Discharge, and Dye Concentrations During a Dye Tracer Study on the Lower Sandusky River, Ohio, July 11-13, 2017"},{"id":376640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.199462890625,\n 40.6723059714534\n ],\n [\n -82.408447265625,\n 40.6723059714534\n ],\n [\n -82.408447265625,\n 41.549700145132725\n ],\n [\n -83.199462890625,\n 41.549700145132725\n ],\n [\n -83.199462890625,\n 40.6723059714534\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heer, Tej","contributorId":229535,"corporation":false,"usgs":false,"family":"Heer","given":"Tej","email":"","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":793486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Mathew G.","contributorId":229536,"corporation":false,"usgs":false,"family":"Wells","given":"Mathew","email":"","middleInitial":"G.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":793487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":793489,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210103,"text":"70210103 - 2020 - Lessons from a post-eruption landscape","interactions":[],"lastModifiedDate":"2020-05-14T13:40:09.711684","indexId":"70210103","displayToPublicDate":"2020-04-24T08:35:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Lessons from a post-eruption landscape","docAbstract":"From March to May 1980, magma rose high into Mount St. Helens (MSH), swelling and—as it turned out—destabilizing its north flank. Scientists knew the volcano had been highly active at times over the past 40,000 years, but the mountain, located amid the Cascade Range in southwestern Washington, had been mostly quiet since the mid-19th century. The collapse of the north flank on 18 May shattered that quiet, triggering a cascade of events that left resounding impressions not only on those who witnessed and studied them but also on the surrounding landscape [Lipman and Mullineaux, 1981; Waitt, 2015]. \n\nThe eruption of MSH also provided unparalleled opportunities for advancing several disciplines [e.g., Shore et al., 1986; Newhall, 2000; Franklin and MacMahon, 2000]. Although not as conspicuously as in volcanology, the eruption and its aftermath led to an intensification of research investigating biophysical impacts of eruptions and subsequent responses [e.g., Dale et al., 2005; Pierson and Major, 2014; Crisafulli and Dale, 2018]. Long-term research on the biophysical responses at MSH has provided important new insights, challenged long-standing ideas, and provided many societal benefits. \n\nThe fortieth anniversary of the eruption this year offers a timely opportunity to reflect on these insights and influences. This long-term vantage is important because sustained, place-based studies following landscape disturbances are rare; because the MSH eruption spurred the greatest depth and breadth of multidisciplinary studies of biophysical responses to landscape disturbance; and because these responses created some of the most significant societal challenges to emerge after the eruption. We summarize key biophysical disturbances and responses, highlight salient insights, and suggest actions that can extend the usefulness of these insights to volcanically vulnerable communities worldwide.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020EO143198","collaboration":"","usgsCitation":"Major, J.J., Crisafulli, C.M., and Swanson, F., 2020, Lessons from a post-eruption landscape: Eos, Earth and Space Science News, v. 101, no. 5, p. 34-40, https://doi.org/10.1029/2020EO143198.","productDescription":"7 p.","startPage":"34","endPage":"40","ipdsId":"IP-117219","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020eo143198","text":"Publisher Index Page"},{"id":374814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.310791015625,\n 46.131315015646564\n ],\n [\n -122.06634521484374,\n 46.131315015646564\n ],\n [\n -122.06634521484374,\n 46.31089291474789\n ],\n [\n -122.310791015625,\n 46.31089291474789\n ],\n [\n -122.310791015625,\n 46.131315015646564\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":789122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crisafulli, Charles M.","contributorId":224691,"corporation":false,"usgs":false,"family":"Crisafulli","given":"Charles","email":"","middleInitial":"M.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":789123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Frederick J.","contributorId":224692,"corporation":false,"usgs":false,"family":"Swanson","given":"Frederick J.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":789124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210685,"text":"70210685 - 2020 - A two-stage step-wise framework for fast optimization of well placement in coalbed methane reservoirs","interactions":[],"lastModifiedDate":"2020-06-17T13:25:49.261404","indexId":"70210685","displayToPublicDate":"2020-04-24T08:22:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"A two-stage step-wise framework for fast optimization of well placement in coalbed methane reservoirs","docAbstract":"Coalbed methane (CBM) has emerged as a clean energy resource in the global energy mix, especially in countries such as Australia, China, India and the USA. The economical and successful development of CBM requires a thorough evaluation and optimization of well placement prior to field-scale exploitation. This paper presents a two-stage, step-wise optimization framework to obtain the optimal placement of wells for large-scale development of CBM reservoirs. In the first stage, an optimal uniform well pattern is obtained by optimizing well pattern description parameters with the particle swarm optimization (PSO) algorithm. Subsequently, the location and status (active/inactive) of each well are perturbed and optimized within the patterns through the integration of the generalized pattern search (GPS) algorithm and a quality map (QM) representing the production potential. This framework was tested in a synthetic anthracite CBM reservoir in the Qinshui basin (with high gas content and low permeability) and a real field high volatile bituminous reservoir in the Illinois basin (with low gas content and high permeability). The results show that: (i) significant variations in the net present value (NPV) exist with respect to different uniform well patterns (even for cases where the total number of wells are identical), the optima of which can be efficiently determined by the PSO within 100 numerical simulation runs; (ii) the optimization of well perturbations by the GPS results in a more noticeable improvement in NPVs for the synthetic (12.3%) than for the real field model (4.6%); (iii) for the low permeable synthetic model with narrow optimal well spacings (320 m × 200 m), the contribution of the optimization of well perturbation to the NPV increment is heavily dependent on the uniform well placement solution; (iv) for the high permeable real field model with large optimal well spacings (1300 m × 1300 m), the initial uniform well placement has a very minor effect on the subsequent well perturbation solutions in terms of NPV; (v) the proposed framework significantly outperforms the conventional well-by-well concatenation procedure in terms of computational efficiency, robustness and optimal criteria set for production potential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2020.103479","usgsCitation":"Zhang, J., Feng, Q., Zhang, X., Bai, J., Karacan, C.O., and Elsworth, D., 2020, A two-stage step-wise framework for fast optimization of well placement in coalbed methane reservoirs: International Journal of Coal Geology, v. 225, 103479, 16 p., https://doi.org/10.1016/j.coal.2020.103479.","productDescription":"103479, 16 p.","ipdsId":"IP-111995","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Jiyuan","contributorId":225384,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiyuan","email":"","affiliations":[],"preferred":false,"id":790966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feng, Qihong","contributorId":225385,"corporation":false,"usgs":false,"family":"Feng","given":"Qihong","email":"","affiliations":[],"preferred":false,"id":790967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Xianmin","contributorId":225386,"corporation":false,"usgs":false,"family":"Zhang","given":"Xianmin","email":"","affiliations":[],"preferred":false,"id":790968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bai, Jia","contributorId":225387,"corporation":false,"usgs":false,"family":"Bai","given":"Jia","email":"","affiliations":[],"preferred":false,"id":790969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elsworth, Derek","contributorId":225388,"corporation":false,"usgs":false,"family":"Elsworth","given":"Derek","affiliations":[],"preferred":false,"id":790970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209691,"text":"70209691 - 2020 - The role of seismic and slow slip events in triggering the 2018 M7.1 Anchorage earthquake in the Southcentral Alaska subduction zone","interactions":[],"lastModifiedDate":"2020-06-03T13:40:17.693808","indexId":"70209691","displayToPublicDate":"2020-04-23T17:01:55","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":"The role of seismic and slow slip events in triggering the 2018 M7.1 Anchorage earthquake in the Southcentral Alaska subduction zone","docAbstract":"The M 7.1 2018 Anchorage earthquake occurred in the bending part of the subducting North Pacific plate near the geometrical barrier formed by the underthrusting Yakutat terrane. We calculate the triggering potential related with stress redistribution from deformation sources including the M 9.2 1964 earthquake coseismic slip, postseismic deformation, slip from regional M > 5 earthquakes, and the cumulative slip of previously detected slow slip events over the past 55 years. We investigate the deeper shallow depth (20–60 km) seismicity response to these perturbations using an epidemic type aftershock sequence model to describe earthquake‐to‐earthquake interactions. The statistical forecast captures the triggered seismicity during the 1983 M 6+ aftershocks in Columbia Bay but performs poorly during the slow slip event period between 1992.0 and 2004.8 that presents a statistically significant rate change (β , Z > 2; M < 4.0). We find that stress effects from the 1964 postseismic source and the 12‐year‐long slow slip event (~M 7.8) contribute to the 2018 Anchorage earthquake occurrence and that slow slip events modulate the deeper shallow depth seismicity patterns in the region.
Salinity, selenium, and uranium pose water‐quality challenges for the Arkansas River in southeastern Colorado and other rivers that support irrigation in semiarid regions. This study used 31 years of continuous discharge and specific conductance (SC) monitoring data to assess interannual patterns in water quality using mass balance on a 120‐km reach of river. Discrete sampling data were used to link the SC records to salinity, selenium, and uranium. Several important patterns emerged. Consumptive use reduced discharge by a median value of 33% and drove corresponding increases in salinity and uranium concentrations. Increased water availability for irrigation from rainfall and upstream snowpack in 1995–1999 flushed additional salinity and uranium into the river in 1996–2000; average annual total dissolved solids (salinity) concentrations increased 25%, and loads increased 131%. Smaller flushing events have occurred, sometimes lagging an increase in water availability by about one year. The pattern indicates flushing of salts temporarily stored, evaporatively concentrated, or of geologic origin. Mobilization of selenium from the reach was minor compared to salinity and uranium, and net selenium removal from the river was suggested in some years. Several processes related to irrigation could be removing selenium. The results provide context for efforts to improve water quality in the Arkansas River and rivers in other semiarid regions.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12841","usgsCitation":"Bern, C.R., Holmberg, M.J., and Kisfalusi, Z.D., 2020, Salt flushing, salt storage, and controls on selenium: A 31-year mass-balance analysis of an irrigated, semiarid valley: Journal of the American Water Resources Association, v. 56, no. 4, p. 647-668, https://doi.org/10.1111/1752-1688.12841.","productDescription":"22 p.","startPage":"647","endPage":"668","ipdsId":"IP-102689","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":456966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12841","text":"Publisher Index Page"},{"id":377212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Arkansas River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.06298828125,\n 38.62545397209084\n ],\n [\n -103.45275878906249,\n 39.104488809440475\n ],\n [\n -104.5074462890625,\n 39.35978526869001\n ],\n [\n -105.9906005859375,\n 39.29604824402406\n ],\n [\n -106.622314453125,\n 39.78321267821705\n ],\n [\n -107.13317871093749,\n 39.65222681530652\n ],\n [\n -105.58959960937499,\n 38.12159327165922\n ],\n [\n -105.3369140625,\n 37.85316995894978\n ],\n [\n -105.4852294921875,\n 37.592471511019085\n ],\n [\n -105.2105712890625,\n 37.61858263247881\n ],\n [\n -105.018310546875,\n 37.405073750176925\n ],\n [\n -105.16113281249999,\n 37.03325468997236\n ],\n [\n -102.041015625,\n 36.99816565700228\n ],\n [\n -102.06298828125,\n 38.62545397209084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmberg, Michael J. 0000-0002-1316-0412 mholmber@usgs.gov","orcid":"https://orcid.org/0000-0002-1316-0412","contributorId":190084,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael","email":"mholmber@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211831,"text":"70211831 - 2020 - Model selection for the North American Breeding Bird Survey","interactions":[],"lastModifiedDate":"2020-09-10T20:29:14.489574","indexId":"70211831","displayToPublicDate":"2020-04-23T16:28:27","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":"Model selection for the North American Breeding Bird Survey","docAbstract":"The North American Breeding Bird Survey (BBS) provides data that can be used in complex, multiscale analyses of population change, while controlling for scale‐specific nuisance factors. Many alternative models can be fit to the data, but most model selection procedures are not appropriate for hierarchical models. Leave‐one‐out cross‐validation (LOOCV), in which relative model fit is assessed by omitting an observation and assessing the prediction of a model fit using the remainder of the data, provides a reasonable approach for assessing models, but is time consuming and not feasible to apply for all observations in large data sets. We report the first large‐scale formal model selection for BBS data, applying LOOCV to stratified random samples of observations from BBS data. Our results are for 548 species of North American birds, comparing the fit of four alternative models that differ in year effect structures and in descriptions of extra‐Poisson overdispersion. We use a hierarchical model among species to evaluate posterior probabilities that models are best for individual species. Models in which differences in year effects are conditionally independent (D models) were generally favored over models in which year effects are modeled by a slope parameter and a random year effect (S models), and models in which extra‐Poisson overdispersion effects are independent and t‐distributed (H models) tended to be favored over models where overdispersion was independent and normally distributed. Our conclusions lead us to recommend a change from the conventional S model to D and H models for the vast majority of species (544/548). Comparison of estimated population trends based on the favored model relative to the S model currently used for BBS summaries indicates no consistent differences in estimated trends. Of the 18 species that showed large differences in estimated trends between models, estimated trends from the default S model were more extreme, reflecting the influence of the slope parameter in that model for species that are undergoing large population changes. WAIC, a computationally simpler alternative to LOOCV, does not appear to be a reliable alternative to LOOCV.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2137","usgsCitation":"Link, W.A., Sauer, J.R., and Niven, D.K., 2020, Model selection for the North American Breeding Bird Survey: Ecological Applications, v. 30, no. 6, e2037, 10 p., https://doi.org/10.1002/eap.2137.","productDescription":"e2037, 10 p.","ipdsId":"IP-112644","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.2109375,\n 7.013667927566642\n ],\n [\n -71.015625,\n 20.3034175184893\n ],\n [\n -77.34374999999999,\n 28.92163128242129\n ],\n [\n -68.5546875,\n 40.713955826286046\n ],\n [\n -50.625,\n 49.15296965617042\n ],\n [\n -62.22656249999999,\n 68.65655498475735\n ],\n [\n -84.375,\n 76.67978490310692\n ],\n [\n -123.04687499999999,\n 77.61770905279676\n ],\n [\n -131.1328125,\n 71.52490903732816\n ],\n [\n -159.2578125,\n 71.85622888185527\n ],\n [\n -166.9921875,\n 69.03714171275197\n ],\n [\n -166.9921875,\n 62.75472592723178\n ],\n [\n -162.7734375,\n 58.07787626787517\n ],\n [\n -162.421875,\n 54.97761367069628\n ],\n [\n -148.0078125,\n 56.36525013685606\n ],\n [\n -141.328125,\n 57.326521225217064\n ],\n [\n -134.296875,\n 54.36775852406841\n ],\n [\n -127.265625,\n 47.040182144806664\n ],\n [\n -126.21093749999999,\n 37.16031654673677\n ],\n [\n -116.01562499999999,\n 26.43122806450644\n ],\n [\n -104.0625,\n 14.944784875088372\n ],\n [\n -81.2109375,\n 7.013667927566642\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niven, Daniel K 0000-0002-3253-7211 dniven@usgs.gov","orcid":"https://orcid.org/0000-0002-3253-7211","contributorId":237775,"corporation":false,"usgs":true,"family":"Niven","given":"Daniel","email":"dniven@usgs.gov","middleInitial":"K","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211919,"text":"70211919 - 2020 - Variable prey consumption leads to distinct regional differences in Chinook salmon growth during the early marine critical period","interactions":[],"lastModifiedDate":"2020-08-11T20:47:03.355543","indexId":"70211919","displayToPublicDate":"2020-04-23T15:38:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Variable prey consumption leads to distinct regional differences in Chinook salmon growth during the early marine critical period","docAbstract":"Growth during the early marine critical period is positively associated with survival and recruitment for Pacific salmon Oncorhynchus spp., so it is important to understand how certain foraging strategies may bolster growth in estuarine and marine environments. To elucidate how spatiotemporal and demographic differences in diet contribute to growth rate variability, we analyzed stomach contents in tandem with morphometric and hormonal indices of growth for subyearling Chinook salmon O. tshawytscha captured in Puget Sound, Washington, USA. Regional dietary patterns indicated that fish caught in northern Puget Sound ate insects in the estuarine and nearshore habitats, followed by decapod larvae, euphausiids, or forage fish in the offshore zone. In southern Puget Sound, fish ate insects in the estuary but were more likely to eat mysids and other crustaceans in the nearshore zone. In the marine habitats adjacent to the San Juan Islands, subyearlings ate forage fish, and their stomachs were as much as 1.4 to 3 times fuller than salmon captured in other regions. Scale-derived growth rates and insulin-like growth factor-1 levels showed distinct growth advantages for San Juan Islands fish which were strongly associated with the early adoption of piscivory. However, consumption of larger crustaceans such as mysids and euphausiids was also associated with greater relative growth regardless of where individuals were captured. These findings highlight how spatiotemporal differences in prey quantity, prey profitability, and individual foraging strategies result in variable growth rates among salmon populations. Specifically, they emphasize the role of piscivory in promoting early marine growth for out-migrating Chinook salmon.
","language":"English","publisher":"Inter-Research Science Press","doi":"10.3354/meps13279","usgsCitation":"Davis, M.J., Chamberlin, J.W., Gardner, J.R., Connelly, K.A., Gamble, M.M., Beckman, B.R., and Beauchamp, D., 2020, Variable prey consumption leads to distinct regional differences in Chinook salmon growth during the early marine critical period: Marine Ecology Progress Series, v. 640, p. 147-169, https://doi.org/10.3354/meps13279.","productDescription":"23 p.","startPage":"147","endPage":"169","ipdsId":"IP-112067","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":377391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.34374999999999,\n 48.596592251456705\n ],\n [\n -122.58544921875,\n 48.79239019646406\n ],\n [\n -122.86010742187499,\n 48.785151998043155\n ],\n [\n -123.167724609375,\n 48.669198799260045\n ],\n [\n -123.22265625000001,\n 48.20271028869972\n ],\n [\n -122.98095703125,\n 48.04870994288686\n ],\n [\n -122.76123046875,\n 47.95314495015594\n ],\n [\n -123.20068359374999,\n 47.46523622438362\n ],\n [\n -123.18969726562499,\n 47.14489748555398\n ],\n [\n -122.947998046875,\n 46.99524110694593\n ],\n [\n -122.398681640625,\n 47.12995075666307\n ],\n [\n -122.16796875,\n 47.368594345213374\n ],\n [\n -121.9921875,\n 47.64318610543658\n ],\n [\n -122.27783203125,\n 47.77625204393233\n ],\n [\n -122.15698242187499,\n 48.070738264258296\n ],\n [\n -122.32177734375,\n 48.16608541901253\n ],\n [\n -122.34374999999999,\n 48.596592251456705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"640","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Melanie J","contributorId":238012,"corporation":false,"usgs":false,"family":"Davis","given":"Melanie","email":"","middleInitial":"J","affiliations":[{"id":47679,"text":"University of Washington, School of Aquatic and Fishery Sciences, Seattle, Washington 98105, USA","active":true,"usgs":false}],"preferred":false,"id":795805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chamberlin, Joshua W.","contributorId":203910,"corporation":false,"usgs":false,"family":"Chamberlin","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":36753,"text":"National Oceanic and Atmospheric Administration - Fisheries, Northwest Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":795806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Jennifer R.","contributorId":175505,"corporation":false,"usgs":false,"family":"Gardner","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":795807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":795808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamble, Madilyn M.","contributorId":203908,"corporation":false,"usgs":false,"family":"Gamble","given":"Madilyn","email":"","middleInitial":"M.","affiliations":[{"id":36751,"text":"School of Aquatic and Fisheries Sciences, University of Washington, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":795809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beckman, Brian R.","contributorId":238013,"corporation":false,"usgs":false,"family":"Beckman","given":"Brian","email":"","middleInitial":"R.","affiliations":[{"id":47680,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, Seattle, Washington 98112, USA","active":true,"usgs":false}],"preferred":false,"id":795810,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795811,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228354,"text":"70228354 - 2020 - Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2022-02-09T20:59:03.745231","indexId":"70228354","displayToPublicDate":"2020-04-23T14:46:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon","docAbstract":"Many frameworks have been used to identify environmental flows for sustaining river ecosystems or specific taxa in the face of widespread flow alteration for human use. However, these methods mostly focus on identifying suitable flows and largely ignore the important links between management actions, resulting flows, flow variability, and ecosystem or social responses. Structured decision making (SDM) could assist the comparison and implementation of environmental flows by providing a framework to compare effects of flow management actions on objectives via environmental flow science. We describe the SDM process and illustrate its application using a case study focused on comparing environmental flow scenarios for the mainstem Willamette River, Oregon, USA. In a short timeframe, SDM was successfully applied to identify management objectives, develop empirical and expert opinion based models predicting ecological responses, and compare scenarios while accounting for uncertainty and partial controllability. We found that no flow scenario was clearly preferred based on available knowledge, largely because river flows could only be partially controlled through available dam operations. Participants agreed that the SDM process was useful and that an additional iteration focused on refining predictive models and incorporating additional objectives could help better inform dam release decisions for the entire basin. In our view, SDM can provide managers with more realistic comparisons of environmental flows by accounting for partial controllability and uncertainty, which may result in greater implementation of available flow management actions.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12845","usgsCitation":"DeWeber, J., and Peterson, J., 2020, Comparing environmental flow implementation options with structured decision making: Case study from the Willamette River, Oregon: Journal of the American Water Resources Association, v. 56, no. 4, p. 599-614, https://doi.org/10.1111/1752-1688.12845.","productDescription":"16 p.","startPage":"599","endPage":"614","ipdsId":"IP-098527","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.255615234375,\n 43.23719944365308\n ],\n [\n -123.255615234375,\n 45.62940492064501\n ],\n [\n -121.7449951171875,\n 45.62940492064501\n ],\n [\n -121.7449951171875,\n 43.23719944365308\n ],\n [\n -123.255615234375,\n 43.23719944365308\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"DeWeber, J. Tyrell","contributorId":275279,"corporation":false,"usgs":false,"family":"DeWeber","given":"J. Tyrell","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":833919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212525,"text":"70212525 - 2020 - Spatiotemporal seismic structure variations associated with the 2018 Kīlauea eruption based on temporary dense geophone arrays","interactions":[],"lastModifiedDate":"2020-08-19T14:15:31.661551","indexId":"70212525","displayToPublicDate":"2020-04-23T09:09:27","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":"Spatiotemporal seismic structure variations associated with the 2018 Kīlauea eruption based on temporary dense geophone arrays","docAbstract":"During the 2018 Kīlauea volcanic eruption, lava erupted from a series of new fissures in the lower East Rift Zone more than 30 km away from the summit through a dike intrusion. Between late May and early August, variations in the effusion rate at the persistent eruptive vent (Fissure 8) were observed following near‐daily summit caldera collapse events. Targeting the ongoing eruptive activity and the subsurface magma movement, we deployed a temporary dense seismic array. The observed time‐lapse changes in seismic velocity associated with the response of the summit collapse in three areas are presented in this study. The results show (1) clear spatially dependent co‐collapse velocity reductions across the newly‐intruded dike structure, (2) a gradual post‐collapse velocity increase near Fissure 8 correlated with the surge of magma supply, and (3) a gradual post‐collapse velocity increase on the summit likely associated with reservoir pressurization and crustal welding.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL086668","usgsCitation":"Wu, S., Lin, F., Farrell, J., Shiro, B., Karlstrom, L., Okubo, P.G., and Koper, K.D., 2020, Spatiotemporal seismic structure variations associated with the 2018 Kīlauea eruption based on temporary dense geophone arrays: Geophysical Research Letters, v. 47, no. 9, e2019GL086668, 10 p., https://doi.org/10.1029/2019GL086668.","productDescription":"e2019GL086668, 10 p.","ipdsId":"IP-112920","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl086668","text":"Publisher Index Page"},{"id":377647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.33843994140625,\n 19.36427174188655\n ],\n [\n -155.19012451171875,\n 19.36427174188655\n ],\n [\n -155.19012451171875,\n 19.46141299683288\n ],\n [\n -155.33843994140625,\n 19.46141299683288\n ],\n [\n -155.33843994140625,\n 19.36427174188655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wu, Sin-Mei","contributorId":175479,"corporation":false,"usgs":false,"family":"Wu","given":"Sin-Mei","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":796689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Fan-Chi","contributorId":175478,"corporation":false,"usgs":false,"family":"Lin","given":"Fan-Chi","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":796690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, Jamie","contributorId":175477,"corporation":false,"usgs":false,"family":"Farrell","given":"Jamie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":796691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karlstrom, Leif","contributorId":23048,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[],"preferred":false,"id":796693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":796694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koper, Keith D.","contributorId":175489,"corporation":false,"usgs":false,"family":"Koper","given":"Keith","email":"","middleInitial":"D.","affiliations":[{"id":27579,"text":"Swiss Federal Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796724,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70215561,"text":"70215561 - 2020 - Climate change causes river network contraction and disconnection in the H.J. Andrews Experimental Forest, Oregon, USA","interactions":[],"lastModifiedDate":"2020-10-23T13:58:50.631328","indexId":"70215561","displayToPublicDate":"2020-04-23T08:55:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Climate change causes river network contraction and disconnection in the H.J. Andrews Experimental Forest, Oregon, USA","docAbstract":"Headwater streams account for more than 89% of global river networks and provide numerous ecosystem services that benefit downstream ecosystems and human water uses. It has been established that changes in climate have shifted the timing and magnitude of observed precipitation, which, at specific gages, have been directly linked to long-term reductions in large river discharge. However, climate impacts on ungaged headwater streams, where ecosystem function is tightly coupled to flow permanence along the river corridor, remain unknown due to the lack of data sets and ability to model and predict flow permanence. We analyzed a network of 10 gages with 38–69 years of records across a 5th-order river basin in the U.S. Pacific Northwest, finding increasing frequency of lower low-flow conditions across the basin. Next, we simulated river network expansion and contraction for a 65-year period of record, revealing 24% and 9% declines in flowing and contiguous network length, respectively, during the driest months of the year. This study is the first to mechanistically simulate network expansion and contraction at the scale of a large river basin, informing if and how climate change is altering connectivity along river networks. While the heuristic model presented here yields basin-specific conclusions, this approach is generalizable and transferable to the study of other large river basins. Finally, we interpret our model results in the context of regulations based on flow permanence, demonstrating the complications of static regulatory definitions in the face of non-stationary climate.
We present a comprehensive relative sea-level (RSL) database for north, central, and south-central Chile (18.5°S – 43.6°S) using a consistent, systematic, and internationally comparable approach. Despite its latitudinal extent, this coastline has received little rigorous or systematic attention and details of its RSL history remain largely unexplored. To address this knowledge gap, we re-evaluate the geological context and age of previously published sea-level indicators, providing 78 index points and 84 marine or terrestrial limiting points spanning from 11 ka to the present day. Many data points were originally collected for research in other fields and have not previously been examined for the information they provide on sea-level change. Additionally, we describe new sea-level data from four sites located between the Gulf of Arauco and Valdivia. By compiling RSL histories for 11 different regions, we summarise current knowledge of Chilean RSL. These histories indicate mid Holocene sea levels above present in all regions, but at highly contrasting elevations from ∼30 m to <5 m. We compare the spatiotemporal distribution of sea-level data points with a suite of glacial isostatic adjustment models and place first-order constraints on the influence of tectonic processes over 103–104 year timescales. While seven regions indicate uplift rates <1 m ka−1, the remaining regions may experience substantially higher rates. In addition to enabling discussion of the factors driving sea-level change, our compilation provides a resource to assist attempts to understand the distribution of archaeological, palaeoclimatic, and palaeoseismic evidence in the coastal zone and highlights directions for future sea-level research in Chile.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2020.106281","usgsCitation":"Garrett, E., Melnick, D., Dura, T., Cisternas, M., Ely, L., Wesson, R.L., Jara-Munoz, J., and Whitehouse, P.L., 2020, Holocene relative sea-level change along the tectonically active Chilean coast: Quaternary Science Reviews, v. 236, 106281, 18 p., https://doi.org/10.1016/j.quascirev.2020.106281.","productDescription":"106281, 18 p.","ipdsId":"IP-117621","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":456975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2020.106281","text":"Publisher Index Page"},{"id":387803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2890625,\n -41.178653972331674\n ],\n [\n -72.333984375,\n -41.442726377672116\n ],\n [\n -67.939453125,\n -21.943045533438166\n ],\n [\n -73.47656249999999,\n -22.350075806124853\n ],\n [\n -75.673828125,\n -22.350075806124853\n ],\n [\n -76.2890625,\n -41.178653972331674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"236","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Garrett, Ed","contributorId":263491,"corporation":false,"usgs":false,"family":"Garrett","given":"Ed","email":"","affiliations":[],"preferred":false,"id":820908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melnick, Daniel","contributorId":195525,"corporation":false,"usgs":false,"family":"Melnick","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":820909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":820910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cisternas, Marco","contributorId":198928,"corporation":false,"usgs":false,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":820911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Lisa","contributorId":195528,"corporation":false,"usgs":false,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":820912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jara-Munoz, Julius","contributorId":263474,"corporation":false,"usgs":false,"family":"Jara-Munoz","given":"Julius","affiliations":[{"id":53996,"text":"Department of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":820914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitehouse, Pippa L","contributorId":263475,"corporation":false,"usgs":false,"family":"Whitehouse","given":"Pippa","email":"","middleInitial":"L","affiliations":[{"id":53998,"text":"Department of Geography, Durham University, Durham, UK","active":true,"usgs":false}],"preferred":false,"id":820915,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70209726,"text":"fs20203025 - 2020 - Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California","interactions":[],"lastModifiedDate":"2020-10-16T16:35:55.018658","indexId":"fs20203025","displayToPublicDate":"2020-04-23T07:35:40","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3025","displayTitle":"Groundwater Quality in the Redding–Red Bluff Shallow Aquifer Study Unit of the Northern Sacramento Valley, California","title":"Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. Private domestic and small system drinking water wells in the Redding–Red Bluff study unit primarily draw from shallow aquifers which are the target for this assessment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203025","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Harkness, J.S., and Shelton, J.L., 2020, Groundwater quality in the Redding–Red Bluff shallow aquifer study unit of the northern Sacramento Valley, California: U.S. Geological Survey Fact Sheet 2020–3025, 4 p., https://doi.org/10.3133/fs20203025.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-114766","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437016,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZKAH3O","text":"USGS data release","linkHelpText":"Groundwater-quality Data in the Redding-Red Bluff Shallow Aquifer Study Unit, 2018-2019: Results from the California GAMA Priority Basin Project"},{"id":374207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3025/fs20203025.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3025/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.882080078125,\n 39.70296052957233\n ],\n [\n -121.58569335937501,\n 39.70296052957233\n ],\n [\n -121.58569335937501,\n 40.97575093157534\n ],\n [\n -122.882080078125,\n 40.97575093157534\n ],\n [\n -122.882080078125,\n 39.70296052957233\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GAMA Project Chief
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3000
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5855
Groundwater has been a major source of agricultural, municipal, and domestic water supply since the early 1920s in the Coachella Valley, California, USA. Land subsidence, resulting from aquifer-system compaction and groundwater-level declines, has been a concern of the Coachella Valley Water District (CVWD) since the mid-1990s. As a result, the CVWD has implemented several projects to address groundwater overdraft that fall under three categories – groundwater substitution, conservation, and managed aquifer-recharge (MAR). The implementation of three projects in particular – replacing groundwater extraction with surface water from the Colorado River and recycled water (Mid-Valley Pipeline project), reducing water usage by tiered-rate costs, and increasing groundwater recharge at the Thomas E. Levy Groundwater Replenishment Facility – are potentially linked to markedly improved groundwater levels and subsidence conditions, including in some of the historically most overdrafted areas in the southern Coachella Valley. Groundwater-level and subsidence monitoring have tracked the effect these projects have had on the aquifer system. Prior to about 2010, water levels persistently declined, and some had reached historically low levels by 2010. Since about 2010, however, groundwater levels have stabilized or partially recovered, and subsidence has stopped or slowed substantially almost everywhere it previously had been observed; uplift was observed in some areas. Furthermore, results of Interferometric Synthetic Aperture Radar analyses for 1995–2017 indicate that as much as about 0.6 m of subsidence occurred; nearly all of which occurred prior to 2010. Continued monitoring of water levels and subsidence is necessary to inform the CVWD about future mitigation measures. The water management strategies implemented by the CVWD can inform managers of other overdrafted and subsidence-prone basins as they seek solutions to reduce overdraft and subsidence.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-382-809-2020","collaboration":"","usgsCitation":"Sneed, M., and Brandt, J.T., 2020, Mitigating land subsidence in the Coachella Valley, California, USA: An emerging success story: Proceedings of the International Association of Hydrological Sciences, v. 382, p. 809-813, https://doi.org/10.5194/piahs-382-809-2020.","productDescription":"5 p.","startPage":"809","endPage":"813","ipdsId":"IP-111082","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":456979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-382-809-2020","text":"Publisher Index Page"},{"id":374224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.37954711914062,\n 33.53223722395908\n ],\n [\n -116.02523803710938,\n 33.53223722395908\n ],\n [\n -116.02523803710938,\n 33.82023008524739\n ],\n [\n -116.37954711914062,\n 33.82023008524739\n ],\n [\n -116.37954711914062,\n 33.53223722395908\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"382","noUsgsAuthors":false,"publicationDate":"2020-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787697,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209736,"text":"70209736 - 2020 - Airborne lidar and electro-optical imagery along surface ruptures of the 2019 Ridgecrest earthquake sequence, Southern California","interactions":[],"lastModifiedDate":"2020-07-09T14:51:19.4533","indexId":"70209736","displayToPublicDate":"2020-04-22T09:55:23","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":"Airborne lidar and electro-optical imagery along surface ruptures of the 2019 Ridgecrest earthquake sequence, Southern California","docAbstract":"Surface rupture from the 2019 Ridgecrest earthquake sequence, initially associated with the M 6.4 foreshock, occurred on July 4 on a ~17 km long, northeast-southwest oriented, left-lateral zone of faulting. Following the M 7.1 mainshock on July 5 (local time), extensive northwest-southeast-oriented, right-lateral faulting was then also mapped along a ~50 km long zone of faults, including sub-parallel splays in several areas. The largest slip was observed in the epicentral area, and crossing the dry lakebed of China Lake to the southeast. Surface fault rupture mapping by a large team, reported elsewhere, was used to guide the airborne data acquisition reported here. Rapid rupture mapping allowed for accurate and efficient flight line planning for the high-resolution lidar and aerial photography. Flight line planning trade-offs were considered to allocate the medium (25 pulses per square meter, or ppsm) and high resolution (80 ppsm) lidar data collection polygons. The National Center for Airborne Laser Mapping (NCALM) acquired the airborne imagery with a Titan multispectral lidar system and DiMAC aerial digital camera, and USGS acquired GPS ground control data. This effort required extensive coordination with the Navy as much of the airborne data acquisition occurred within their restricted airspace at the China Lake Ranges.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190338","usgsCitation":"Hudnut, K.W., Brooks, B.A., Scharer, K.M., Hernandez, J.L., Dawson, T.E., Oskin, M.E., Arrowsmith, J.R., Goulet, C.A., Blake, K., Boggie, M.A., Bork, S., Craig L. Glennie, Fernandez-Diaz, J., Singhania, A., Hauser, D., and Sorhus, S., 2020, Airborne lidar and electro-optical imagery along surface ruptures of the 2019 Ridgecrest earthquake sequence, Southern California: Seismological Research Letters, v. 91, no. 4, p. 2096-2107, https://doi.org/10.1785/0220190338.","productDescription":"11 p.","startPage":"2096","endPage":"2107","ipdsId":"IP-114239","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":374220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calilfornia","otherGeospatial":"Ridgecrest Earthquake Sequence","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.125,\n 35.1154153142536\n ],\n [\n -117.2076416015625,\n 35.1154153142536\n ],\n [\n -117.2076416015625,\n 36.27085020723902\n ],\n [\n -118.125,\n 36.27085020723902\n ],\n [\n -118.125,\n 35.1154153142536\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-22","publicationStatus":"PW","contributors":{"editors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":787726,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":787727,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hernandez, Janis","contributorId":216335,"corporation":false,"usgs":false,"family":"Hernandez","given":"Janis","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":787728,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. 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In this study, stable isotope analysis was used to quantify carbon sources in a restoring, sparsely vegetated marsh (Restoring) and an adjacent, historically unaltered marsh (Reference) in the Nisqually River Delta (NRD) of Washington, USA. Three sediment cores were collected at “Inland” and “Seaward” locations at both marshes ~ 6 years after restoration. Benthic diatoms, C3 plants, C4 plants, and particulate organic matter (POM) were collected throughout the NRD. δ13C and δ15N values of sources and sediments were used in a Bayesian stable isotope mixing model to determine the contribution of each carbon source to the sediments of both marshes. Autochthonous marsh C3 plants contributed 73 ± 10% (98 g C m−2 year−1) and 89 ± 11% (119 g C m−2 year−1) to Reference-Inland and Reference-Seaward sediment carbon sinks, respectively. In contrast, the sediment carbon sink at the Restoring Marsh received a broad assortment of predominantly allochthonous materials, which varied in relative contribution based on source distance and abundance. Marsh POM contributed the most to Restoring-Seaward (42 ± 34%) (69 g C m−2 year−1) followed by Riverine POM at Restoring-Inland (32 ± 41%) (52 g C m−2 year−1). Overall, this study demonstrates that largely unvegetated, restoring marshes can accumulate carbon by relying predominantly on allochthonous material, which comes mainly from the most abundant and closest estuarine sources.
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