Ground motion simulation validation is an important and necessary task toward establishing the efficacy of physics-based ground motion simulations for seismic hazard analysis and earthquake engineering applications. This article presents a comprehensive validation of the commonly used Graves and Pitarka hybrid broadband ground motion simulation methodology with a recently developed three-dimensional (3D) Canterbury Velocity Model. This is done through simulation of 148 small magnitude earthquake events in the Canterbury, New Zealand, region in order to supplement prior validation efforts directed at several larger magnitude events. Recent empirical ground motion models are also considered to benchmark the simulation predictive capability, which is examined by partitioning the prediction residuals into the various components of ground motion variability. Biases identified in source, path, and site components suggest that improvements to the predictive capabilities of the simulation methodology can be made by using a longer high-frequency path duration model, reducing empirical Vs30-based low-frequency site amplification, and utilizing site-specific velocity models in the high-frequency simulations.
Streamflow controls many freshwater and marine processes, including salinity profiles, sediment composition, fluxes of nutrients, and the timing of animal migrations. Watersheds that border the Gulf of Alaska (GOA) comprise over 400,000 km2 of largely pristine freshwater habitats and provide ecosystem services such as reliable fisheries for local and global food production. Yet no comprehensive watershed-scale description of current temporal and spatial patterns of streamflow exists within the coastal GOA. This is an immediate need because the spatial distribution of future streamflow patterns may shift dramatically due to warming air temperature, increased rainfall, diminishing snowpack, and rapid glacial recession. Our primary goal was to describe variation in streamflow patterns across the coastal GOA using an objective set of descriptors derived from flow predictions at the downstream-most point within each watershed. We leveraged an existing hydrologic runoff model and Bayesian mixture model to classify 4,140 watersheds into 13 classes based on seven streamflow statistics. Maximum discharge timing (annual phase shift) and magnitude relative to mean discharge (amplitude) were the most influential attributes. Seventy-six percent of watersheds by number showed patterns consistent with rain or snow as dominant runoff sources, while the remaining watersheds were driven by rain-snow, glacier, or low-elevation wetland runoff. Streamflow classes exhibited clear mechanistic links to elevation, ice coverage, and other landscape features. Our classification identifies watersheds that might shift streamflow patterns in the near future and, importantly, will help guide the design of studies that evaluate how hydrologic change will influence coastal GOA ecosystems.
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Ryan jbellmore@usgs.gov","contributorId":4527,"corporation":false,"usgs":true,"family":"Bellmore","given":"J. Ryan","email":"jbellmore@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":833916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crumley, Ryan L.","contributorId":275278,"corporation":false,"usgs":false,"family":"Crumley","given":"Ryan","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":833917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211078,"text":"70211078 - 2020 - High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA","interactions":[],"lastModifiedDate":"2020-07-14T15:45:32.896544","indexId":"70211078","displayToPublicDate":"2020-02-01T10:42:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA","docAbstract":"Salt loads in the Colorado River Basin are a primary water quality concern. Natural groundwater brine discharge to the Dolores River where it passes through the collapsed salt anticline of the Paradox Valley in western Colorado is a significant source of salt to the Colorado River. An airborne electromagnetic survey of Paradox Valley has provided insights into the 3D distribution of brine in the surficial aquifer. A combination of stochastic and deterministic resistivity inversions were used to interpret the top of the freshwater-brine interface and to qualitatively describe the vertical salinity gradients across the interface. Low-resistivity regions indicative of brine occur near the land surface where brine discharges to the Dolores River and increase in depth several kilometers up-gradient along the axis of the valley. The most conductive parts of the brine plume are found in the areas below and adjacent to the river, suggesting that the brine becomes shallower and more concentrated as it reaches its natural discharge location. A significant freshwater lens overlying the brine west of the Dolores River is spatially correlated to the intermittent West Paradox Creek and agricultural irrigation. Below this lens, the transition from freshwater to brine appears to occur abruptly over a few meters and correlates to available well information. However, away from these regions and particularly with distance from the river, the freshwater-brine interface appears to be more diffuse.","language":"English","publisher":"Springer","doi":"10.1007/s10040-019-02102-z","usgsCitation":"Ball, L.B., Bedrosian, P.A., and Minsley, B.J., 2020, High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA: Hydrogeology Journal, v. 28, no. 3, p. 941-954, https://doi.org/10.1007/s10040-019-02102-z.","productDescription":"14 p.","startPage":"941","endPage":"954","ipdsId":"IP-109154","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Paradox Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.083251953125,\n 36.98500309285596\n ],\n [\n -105.732421875,\n 36.98500309285596\n ],\n [\n -105.732421875,\n 39.36827914916014\n ],\n [\n -109.083251953125,\n 39.36827914916014\n ],\n [\n -109.083251953125,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228268,"text":"70228268 - 2020 - Influence of population density and length structure on angler catch rate in kokanee fisheries","interactions":[],"lastModifiedDate":"2022-02-08T16:41:38.191284","indexId":"70228268","displayToPublicDate":"2020-02-01T10:22:32","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":"Influence of population density and length structure on angler catch rate in kokanee fisheries","docAbstract":"Management agencies are often charged with providing fisheries that lead to angler participation. Catch rate is one of the primary drivers of angler participation but can be influenced by a suite of factors, including population structure (e.g., density and size structure). The complexity of understanding how population structure influences angler catch rate is typified in kokanee Oncorhynchus nerka fisheries. Previous research suggests that angler catch rates of kokanee are positively influenced by fish density and total length. However, that research was based on data collected using size-selective midwater trawls. Due to the potential limitation of previous research, we sought to (1) understand the relative bias of midwater trawls and gill nets for describing the size structure of kokanee available to anglers and (2) re-evaluate the influence of fish density and fish length on angler catch rates in kokanee fisheries. Midwater trawl, gill-net, and creel data were collected on five prominent kokanee fisheries throughout Idaho in 2016 and 2017. Catch composition and percent overlap of midwater trawls, gill nets, and angler-caught fish were compared to understand the efficacy of midwater trawls and gill nets for representing the size structure of kokanee available to anglers. In addition, the influence of kokanee density and length on angler catch rates was evaluated. Midwater trawls primarily sampled small kokanee (<330 mm) and exhibited little overlap with angler-caught fish, whereas gill nets sampled more large fish (>330 mm) and exhibited higher overlap with angler-caught fish when compared to midwater trawls. Fish length was not positively associated with angler catch rates. However, fish density exhibited a positive relationship with angler catch rates. Our results highlight the importance of gear choice for understanding how kokanee populations function and elucidate the tradeoffs associated with population density, fish length, and resulting kokanee fisheries.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10395","usgsCitation":"Klein, Z.B., Quist, M., Schill, D., Dux, A.M., and Corsi, M.P., 2020, Influence of population density and length structure on angler catch rate in kokanee fisheries: North American Journal of Fisheries Management, v. 40, no. 1, p. 182-189, https://doi.org/10.1002/nafm.10395.","productDescription":"8 p.","startPage":"182","endPage":"189","ipdsId":"IP-110218","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Anderson Ranch Reservoir, Dworshak Reservoir, Lake Pend Oreille, Lucky Peak Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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Seattle","active":true,"usgs":true}],"preferred":true,"id":833568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, Daniel J.","contributorId":274498,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corsi, Matthew P.","contributorId":212797,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833571,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228272,"text":"70228272 - 2020 - Movement dynamics of Smallmouth Bass in a large western river system","interactions":[],"lastModifiedDate":"2022-02-08T16:21:40.939488","indexId":"70228272","displayToPublicDate":"2020-02-01T10:11:51","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":"Movement dynamics of Smallmouth Bass in a large western river system","docAbstract":"The Snake River, Idaho, between Swan Falls and Brownlee dams supports a popular fishery for Smallmouth Bass Micropterus dolomieu. Recently, anglers have expressed concern about harvest of Smallmouth Bass associated with seasonal congregations in and near the lower reaches of several major tributaries. Little is known about Smallmouth Bass movement in the system, and a better understanding of movement dynamics will help to guide future management. From March to August 2016, Smallmouth Bass (≥260 mm; n = 1,131) were tagged with T-bar anchor tags to evaluate large-scale movement patterns. Movement was estimated from 63 angler-reported tags for which area descriptions provided sufficient detail to assign a recapture location. Extent of fish movement varied among segments and tributaries from 0 to 128 river kilometers (rkm). From March to May 2017, Smallmouth Bass (≥305 mm; n = 149) in the Snake, Boise, Payette, and Weiser rivers and in Brownlee Reservoir were implanted with radio transmitters. Of the 149 Smallmouth Bass that were released with radio transmitters, 107 were relocated at least once. Additionally, 79.6% of fish with radio transmitters had a maximum extent of movement of 5 rkm or greater and 42.6% had a maximum extent of 30 rkm or greater; one radio-tagged fish moved 167 rkm upstream. Average daily movement of Smallmouth Bass varied among river segments and was greatest in the spring and summer. Fish from the Snake River, tributaries (e.g., Boise River), and Brownlee Reservoir moved all around the study area, indicating an absence of clear population boundaries. As such, Smallmouth Bass in the study area appear to function as one large population as opposed to multiple subpopulations, thereby indicating that management as one population is likely appropriate.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10389","usgsCitation":"McClure, C., Quist, M., Kozfkay, J., Peterson, M., and Schill, D.J., 2020, Movement dynamics of Smallmouth Bass in a large western river system: North American Journal of Fisheries Management, v. 40, no. 1, p. 154-162, https://doi.org/10.1002/nafm.10389.","productDescription":"9 p.","startPage":"154","endPage":"162","ipdsId":"IP-097796","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Brownlee Reservoir, Payette River, Snake River, Swan Falls, Weiser River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.83911132812499,\n 43.83452678223682\n ],\n [\n -114.97192382812499,\n 43.83452678223682\n ],\n [\n -114.97192382812499,\n 45.66012730272194\n ],\n [\n -118.83911132812499,\n 45.66012730272194\n ],\n [\n -118.83911132812499,\n 43.83452678223682\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Conor","contributorId":275013,"corporation":false,"usgs":false,"family":"McClure","given":"Conor","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":270713,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozfkay, Joseph","contributorId":275014,"corporation":false,"usgs":false,"family":"Kozfkay","given":"Joseph","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Michael","contributorId":275015,"corporation":false,"usgs":false,"family":"Peterson","given":"Michael","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schill, Daniel J.","contributorId":195886,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208285,"text":"70208285 - 2020 - Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes","interactions":[],"lastModifiedDate":"2020-02-03T09:46:34","indexId":"70208285","displayToPublicDate":"2020-02-01T09:40:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes","docAbstract":"Effective and efficient methods are needed to map agricultural subsurface drainage systems. Visible-color (VIS-C), multispectral (MS), and thermal infrared (TIR) imagery obtained by unmanned aerial vehicles (UAVs) may provide a means for determining drainage pipe locations. Aerial surveys using a UAV with VIS-C, MS, and TIR cameras were conducted at 29 agricultural field sites in the Midwest U.S.A. to evaluate the potential of this technology for mapping buried drainage pipes. Overall results show VIS-C imagery detected at least some drain lines at 48 % of the sites (14 out of 29), MS imagery detected drain lines at 59 % of the sites (17 out of 29), and TIR imagery detected drain lines at 69 % of the sites (20 out of 29). Three key findings, listed as follows and emphasized in this article by site examples, were extracted from the overall results. (1) Although TIR generally worked best, there were sites where either VIS-C or MS proved more effective than TIR for mapping subsurface drainage systems. Consequently, to ensure the greatest chance for successfully determining drainage pipe patterns in a field, UAV surveys need to be carried out with all three types of cameras, VIS-C, MS, and TIR. (2) Timing of UAV surveys relative to recent rainfall can sometimes have an important impact on drainage pipe detection results. (3) Linear features representing drain lines and farm field operations can be confused with one another and are often both depicted on site aerial imagery. Knowledge of subsurface drainage system installation and farm field operations can be employed to distinguish linear features representing drain lines from those representing farm field operations. The overall results and extracted key findings from this study clearly indicate that VIS-C, MS, and TIR imagery obtained with UAVs have significant potential for use in mapping agricultural drainage pipe systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2020.106036","usgsCitation":"Allred, B.J., Martinez, L., Fessehazion, M., Rouse, G., Williamson, T.N., Wishart, D., Koganti, T., Freeland, R., Eash, N., Batschelet, A., and Featheringill, R., 2020, Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes: Agricultural Water Management, v. 232, 106036, 19 p., https://doi.org/10.1016/j.agwat.2020.106036.","productDescription":"106036, 19 p.","ipdsId":"IP-112452","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":457912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2020.106036","text":"Publisher Index Page"},{"id":371912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Iowa, Michigan, Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.240234375,\n 42.79540065303723\n ],\n [\n -95.16357421875,\n 42.79540065303723\n ],\n [\n -95.16357421875,\n 43.45291889355465\n ],\n [\n -96.240234375,\n 43.45291889355465\n ],\n [\n -96.240234375,\n 42.79540065303723\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.4951171875,\n 38.42777351132902\n ],\n [\n -81.76025390625,\n 38.42777351132902\n ],\n [\n -81.76025390625,\n 42.09822241118974\n ],\n [\n -87.4951171875,\n 42.09822241118974\n ],\n [\n -87.4951171875,\n 38.42777351132902\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"232","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allred, Barry J.","contributorId":212023,"corporation":false,"usgs":false,"family":"Allred","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":38388,"text":"USDA, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":781251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, Luis","contributorId":222112,"corporation":false,"usgs":false,"family":"Martinez","given":"Luis","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":781252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fessehazion, Melake","contributorId":222113,"corporation":false,"usgs":false,"family":"Fessehazion","given":"Melake","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":781253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rouse, Greg","contributorId":169158,"corporation":false,"usgs":false,"family":"Rouse","given":"Greg","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":781254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wishart, DeBonne","contributorId":222114,"corporation":false,"usgs":false,"family":"Wishart","given":"DeBonne","email":"","affiliations":[{"id":40490,"text":"Central State University - 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2020 - Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads","interactions":[],"lastModifiedDate":"2022-02-08T15:47:02.571742","indexId":"70228237","displayToPublicDate":"2020-02-01T09:31:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2449,"text":"Journal of Sea Research","active":true,"publicationSubtype":{"id":10}},"title":"Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads","docAbstract":"Coastal Louisiana supports some of the most productive areas for the eastern oyster, Crassostrea virginica. Changing conditions from restoration and climate change alter freshwater and sediment inflows into critical estuarine areas affecting water quality, including salinity and concentrations of suspended sediment. This study examined the effects of acute (1 h) and chronic (8 weeks) exposure of suspended sediment concentrations on the eastern oyster's respiration and clearance rates. Acute exposure at six sediment concentrations (0, 10, 50, 200, 500, 1000 mg L−1) and one salinity (15) indicated that sediment concentration significantly affected oyster clearance rates, with increasing clearance rates as suspended sediment concentrations increased up to 500 mg L−1. Respiration rates were not affected by sediment concentration (p = .12). Chronic exposure at two salinities (6 and 15) and three sediment concentrations (0, 50, 400 mg L−1) found no significant effect of sediment, salinity or their interaction on clearance rates. Respiration rate was reduced at higher sediment concentrations (50 and 400 mg L−1 versus 0 mg L−1) and lower salinity. As clearance and oxygen consumption rates critically inform oyster energetic models, these data provide valuable insight to more accurately predict eastern oyster population dynamics and inform harvest models in the face of changing estuarine conditions. Changes in rates of growth through altered energetic demands ultimately can impact not just the economic viability of the industry, but also the ability for the populations to maintain sustainable reefs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.seares.2019.101831","usgsCitation":"La Peyre, M., Bernasconi, S.K., Lavaud, R., Casas, S.M., and La Peyre, J.F., 2020, Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads: Journal of Sea Research, v. 157, p. 1-7, https://doi.org/10.1016/j.seares.2019.101831.","productDescription":"101831, 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-109899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499828,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/794","text":"External Repository"},{"id":395621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bay Gardene","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.68508720397949,\n 29.56188581810685\n ],\n [\n -89.6129035949707,\n 29.56188581810685\n ],\n [\n -89.6129035949707,\n 29.609804580144143\n ],\n [\n -89.68508720397949,\n 29.609804580144143\n ],\n [\n -89.68508720397949,\n 29.56188581810685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernasconi, S. K.","contributorId":274906,"corporation":false,"usgs":false,"family":"Bernasconi","given":"S.","email":"","middleInitial":"K.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":833503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavaud, R.","contributorId":273051,"corporation":false,"usgs":false,"family":"Lavaud","given":"R.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":833504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casas, S. M.","contributorId":272906,"corporation":false,"usgs":false,"family":"Casas","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":833506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, J. F.","contributorId":273052,"corporation":false,"usgs":false,"family":"La Peyre","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":833505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211297,"text":"70211297 - 2020 - Conservation genomics in a changing arctic","interactions":[],"lastModifiedDate":"2020-07-22T13:02:15.108559","indexId":"70211297","displayToPublicDate":"2020-02-01T09:00:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genomics in a changing arctic","docAbstract":"Although logistically challenging to study, the Arctic is a bellwether for global change and is becoming a model for questions pertinent to the persistence of biodiversity. Disruption of Arctic ecosystems is accelerating, with impacts ranging from mixing of biotic communities to individual behavioral responses. Understanding these changes is crucial for conservation and sustainable economic development. Genomic approaches are providing transformative insights into biotic responses to environmental change, but have seen limited application in the Arctic due to a series of limitations. To meet the promise of genome analyses, we urge rigorous development of biorepositories from high latitudes to provide essential libraries to improve the conservation, monitoring, and management of Arctic ecosystems through genomic approaches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2019.09.008","usgsCitation":"Colella, J.P., Talbot, S.L., Brochmann, C., Taylor, E.B., Hoberg, E.P., and Cook, J.A., 2020, Conservation genomics in a changing arctic: Trends in Ecology and Evolution, v. 35, no. 2, p. 149-162, https://doi.org/10.1016/j.tree.2019.09.008.","productDescription":"14 p.","startPage":"149","endPage":"162","ipdsId":"IP-106748","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":376622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":793623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":793624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brochmann, Christian","contributorId":229606,"corporation":false,"usgs":false,"family":"Brochmann","given":"Christian","email":"","affiliations":[{"id":13158,"text":"Natural History Museum, University of Oslo","active":true,"usgs":false}],"preferred":false,"id":793625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Eric B. 0000-0002-3974-6315","orcid":"https://orcid.org/0000-0002-3974-6315","contributorId":124524,"corporation":false,"usgs":false,"family":"Taylor","given":"Eric","email":"","middleInitial":"B.","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum","active":true,"usgs":false}],"preferred":false,"id":793626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoberg, Eric P.","contributorId":102448,"corporation":false,"usgs":false,"family":"Hoberg","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":793627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":793628,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210678,"text":"70210678 - 2020 - Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern","interactions":[],"lastModifiedDate":"2020-06-17T14:01:00.671249","indexId":"70210678","displayToPublicDate":"2020-02-01T08:55:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern","docAbstract":"Many shorebirds and nearshore waterbirds are of conservation concern across the Gulf of Mexico due to stressors such as human disturbance, predation, and habitat loss and degradation. Conservation and protection of these birds is important for the functioning of healthy ecosystems and for maintaining biodiversity in North America. Consequently, resource managers along the Gulf need decision-aiding tools that can help to answer important conservation questions for different species (e.g., how much area should be targeted by management actions to meet a species’ needs). To address this need, project researchers developed statistical models that could help identify habitat conservation objectives and actions for bird species taking into account different Gulf coast conservation scenarios that might occur in response to sea-level rise. The project focused specifically on the Black Skimmer (Rynchops niger) and Gull-billed Tern (Gelochelidon nilotica), two species designated as U.S. Fish and Wildlife Service Species of Conservation Concern and Gulf Coast Joint Venture Priority Species. These two birds are also representative of a variety of other beach and barrier-island nesting birds whose nesting habitats are threatened by sea-level rise (e.g., Least Tern, Snowy and Wilson’s Plover). The statistical models linked each bird’s abundance to habitat characteristics that could be influenced by different management actions. This information could be used to identify conservation objectives under different conservation scenarios.
","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Cronin, J.P., 2020, Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern: Cooperator Report, 9 p.","productDescription":"9 p.","ipdsId":"IP-116728","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":375665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375615,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/science/gulf-coast-habitats/"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.68359375,\n 25.363882272740256\n ],\n [\n -82.6611328125,\n 29.726222319395504\n ],\n [\n -87.451171875,\n 30.751277776257812\n ],\n [\n -91.7578125,\n 30.713503990354965\n ],\n [\n -96.50390625,\n 29.19053283229458\n ],\n [\n -98.2177734375,\n 26.588527147308614\n ],\n [\n -98.26171875,\n 22.79643932091949\n ],\n [\n -96.50390625,\n 19.02057711096681\n ],\n [\n -93.69140625,\n 17.811456088564483\n ],\n [\n -90.966796875,\n 18.312810846425442\n ],\n [\n -88.6376953125,\n 20.838277806058933\n ],\n [\n -80.68359375,\n 25.363882272740256\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":790922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209831,"text":"70209831 - 2020 - Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012","interactions":[],"lastModifiedDate":"2020-05-19T14:26:42.015479","indexId":"70209831","displayToPublicDate":"2020-02-01T07:39:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012","docAbstract":"Here, we use ocean color measurements (Figure 1) and sea surface temperature (SST) data collected using sensors mounted on low-flying aircraft to characterize NCCS water masses and identify patterns among seasons and between years. To accomplish this, we applied k-means clustering to measured and derived ecologically-relevant physical and bio-optical variables (SST, Chla, absorbance by colored dissolved organic matter [aCDOM], proxy particle load). These classifications will be used in the future to evaluate species habitat distributions in the NCCS.","language":"English","publisher":"BOEM","usgsCitation":"Schulien, J.A., Adams, J., and Felis, J.J., 2020, Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012, iv, 26 p.","productDescription":"iv, 26 p.","ipdsId":"IP-075956","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":374387,"type":{"id":15,"text":"Index Page"},"url":"https://www.boem.gov/environment/environmental-studies/recently-completed-environmental-studies-pacific"},{"id":374397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Continental Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.0791015625,\n 42.19596877629178\n ],\n [\n -124.76074218749999,\n 37.47485808497102\n ],\n [\n -122.4755859375,\n 37.47485808497102\n ],\n [\n -122.4755859375,\n 46.76996843356982\n ],\n [\n -124.76074218749999,\n 46.76996843356982\n ],\n [\n -126.0791015625,\n 42.19596877629178\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schulien, J A","contributorId":224409,"corporation":false,"usgs":false,"family":"Schulien","given":"J","email":"","middleInitial":"A","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":788212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209147,"text":"70209147 - 2020 - Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA","interactions":[],"lastModifiedDate":"2020-03-20T06:47:36","indexId":"70209147","displayToPublicDate":"2020-01-31T18:49:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA","docAbstract":"The Grand Calumet River (GCR), located in northern Indiana, is contaminated due to a wide range of historical industrial activities. This study was conducted to determine the influence of sediment remediation within the GCR on concentrations of chemical contaminants and toxicity to sediment-dwelling organisms. Between 2005 and 2016, sediments with high concentrations of metals and toxic organic compounds were remediated through a combination of removal, addition of activated carbon and organoclay amendments, and capping with sand or relatively uncontaminated sediment. Short-term and long-term sediment toxicity tests with the amphipod Hyalella azteca, the midge Chironomus dilutus, and the mussel Lampsilis siliquoidea were conducted with samples collected in 2013, 2015, and 2017, from 29 sites, including both remediated and non-remediated sites. Sediment chemistry and toxicity data for three groups of remediated sites (US Steel, West Branch, and East Branch) were compared to samples from contaminated but unremediated sites and to relatively uncontaminated reference sites. In general, remediated sediments had lower levels of PAHs, PCBs and metals, although sediments from the US Steel area still had elevated levels of PAH, PCB and chromium. Sediments from the three remediated sites and from reference sites showed significantly reduced toxic effects in short-term sediment bioassays, compared to unremediated sites. Variation in the long-term success of remediation may reflect site-specific factors such as the type of remediation and the potential for recontamination from uncontrolled sources.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2020.126056","usgsCitation":"Steevens, J.A., Besser, J.M., Dorman, R.A., and Sparks, D.W., 2020, Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA: Chemosphere, v. 249, 126056, https://doi.org/10.1016/j.chemosphere.2020.126056.","productDescription":"126056","ipdsId":"IP-113273","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437131,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XIDHOV","text":"USGS data release","linkHelpText":"Chemical and biological exposure bioassay data from sediment collected within the Grand Calumet River, Indiana, 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Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":785124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sparks, Daniel W.","contributorId":223469,"corporation":false,"usgs":false,"family":"Sparks","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":785125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208277,"text":"sir20205003 - 2020 - Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019","interactions":[],"lastModifiedDate":"2022-04-25T20:48:21.74271","indexId":"sir20205003","displayToPublicDate":"2020-01-31T17:09:16","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5003","displayTitle":"Extending Seasonal Discharge Records for Streamgage Sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through Water Year 2019","title":"Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019","docAbstract":"Daily mean discharge values were estimated for May 20–September 30 for 1976–82 and 2006–18 for the U.S. Geological Survey North Fork Fortymile River and Middle Fork Fortymile River streamgage sites in Alaska. A relation between study streamgage discharge and discharge for an index streamgage on the main-stem Fortymile River for a concurrent period in 2019 was developed using the maintenance of variance extension type 3 (MOVE.3) record extension technique. The relation for North Fork Fortymile River discharges incorporated a 1-day-earlier offset to index streamgage discharges. No offset was applied to the index streamgage discharges for use with the Middle Fork Fortymile River discharges. The developed MOVE.3 regressions were used to estimate daily mean discharges at the study streamgage sites during the study season for the longer period of record of the index streamgage. The modified Nash-Sutcliffe efficiency coefficients for the estimated records were 0.38 and 0.63 for the North Fork Fortymile River and Middle Fork Fortymile River streamgages, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205003","collaboration":"Prepared in cooperation with U.S. Bureau of Land Management","usgsCitation":"Curran, J.H., 2020, Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019: U.S. Geological Survey Scientific Investigations Report 2020–5003, 11 p., https://doi.org/10.3133/sir20205003.","productDescription":"Report: iv, 11 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-114440","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":399626,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109660.htm"},{"id":371893,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5003/sir20205003.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5033"},{"id":371892,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5003/coverthb.jpg"},{"id":371894,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5003/sir20205003_appendix1.csv","text":"Appendix 1","size":"137 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020-5033 Appendix 1"}],"country":"United States","state":"Alaska","otherGeospatial":"North Fork Fortymile River, Middle Fork Fortymile River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144.3333,\n 63.1667\n ],\n [\n -141,\n 63.1667\n ],\n [\n -141,\n 64.75\n ],\n [\n -144.3333,\n 64.75\n ],\n [\n -144.3333,\n 63.1667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508
Unconventional oil and gas (UOG) extractions has produced large economic benefits. However, prudent management of UOG wastes necessitates a thorough understanding of the complex composition, fate, and potential impacts of wastewater releases. UOG production results in large volumes of wastewater. Despite limited re-use of the wastewater, the majority needs to be disposed of, usually by underground injection. The wastewater contains myriad organic, inorganic, and radioactive substances from hydraulic fracturing and production activities or from the (typically shale) formation. Many substances in this wastewater are either proprietary, or are known or potential toxicants. Limited toxicological studies of these mixtures suggest that some of the components are highly toxic. Thus, any releases of untreated wastewater may represent a threat to environmental integrity and human health.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A handbook of environmental toxicology: Human disorders and ecotoxicology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CAB International Publishers","usgsCitation":"Crosby, L., and Orem, W.H., 2020, Review of studies of composition, toxicology and human health impacts of wastewater from unconventional oil and gas development from shale, chap. 23 of A handbook of environmental toxicology: Human disorders and ecotoxicology, p. 334-350.","productDescription":"17 p.","startPage":"334","endPage":"350","ipdsId":"IP-097385","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crosby, Lynn M.","contributorId":220626,"corporation":false,"usgs":false,"family":"Crosby","given":"Lynn M.","affiliations":[{"id":40194,"text":"(former USGS)","active":true,"usgs":false}],"preferred":false,"id":775339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":775338,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208347,"text":"70208347 - 2020 - Identification of management thresholds of urban development in support of aquatic biodiversity conservation","interactions":[],"lastModifiedDate":"2020-02-05T16:32:15","indexId":"70208347","displayToPublicDate":"2020-01-31T16:25:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Identification of management thresholds of urban development in support of aquatic biodiversity conservation","docAbstract":"Urbanization degrades stream ecosystems and causes loss of bodiversity. Using benthic macroinvertebrates as a surragate for overall aquatic diversity, we conducted a series of analytical approaches to derive management thresholds of urban development designed to link ecological responses to the primary management goal of protecting aquatic diversity in streams within the Delaware Water Gap National Recreation Area (USA). We were particularly interested in identifying urban thresholds that represent the early phases of biological impact to support cost-effect management and mitigation interventions. We used taxa-specific modeling approaches within a spatially-explicit framework to develop sensitive thresholds that anticipate and demark the onset of taxa loss and provide a foundation for investigating alternative mechanisms driving biological change. We identified an early-warning threshold of 1.5% urban development in the contributing watershed where 15% of the 107 taxa evaluated exhibited significant declines in abundance but prior to any evidence of extirpation, and an extirpation threshold of 6% urban development where nearly 3% of taxa are likely to be lost locally. These thresholds of urban development are substantially lower than response thresholds typically reported based upon traditional modeling approaches that rely on spatially-implicit summaries of land cover and univariate metrics or composite indices. An analysis of ecological and functional trait composition of taxa determined to be sensitive suggests that reduced storage of benthic organic matter caused by flashier hydrographs may be the primary mechanism driving biological changes observed at relatively low levels of urbanization. Although the extent to which stream communities respond to stressor gradients in a non-linear fashion continues to be debated, we show that threshold approaches can be applied in support of aquatic resource management irrespective of whether or not stress-response functions are non-linear.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106124","usgsCitation":"Snyder, C.D., and Young, J.A., 2020, Identification of management thresholds of urban development in support of aquatic biodiversity conservation: Ecological Indicators, v. 112, 106124, 14 p., https://doi.org/10.1016/j.ecolind.2020.106124.","productDescription":"106124, 14 p.","ipdsId":"IP-112218","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457919,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106124","text":"Publisher Index Page"},{"id":437132,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MI9BOO","text":"USGS data release","linkHelpText":"Benthic macroinvertebrates abundance data for the study of urbanization effects in the Delaware Water Gap National Recreation Area, (2006)"},{"id":372098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Delaware Water Gap National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.157470703125,\n 40.92804010533237\n ],\n [\n -74.77706909179688,\n 40.92804010533237\n ],\n [\n -74.77706909179688,\n 41.47771800887871\n ],\n [\n -75.157470703125,\n 41.47771800887871\n ],\n [\n -75.157470703125,\n 40.92804010533237\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"112","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":781527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":781528,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208237,"text":"70208237 - 2020 - Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance","interactions":[],"lastModifiedDate":"2020-06-04T16:51:39.984534","indexId":"70208237","displayToPublicDate":"2020-01-31T16:07:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance","docAbstract":"Waters co-produced during petroleum extraction are the largest waste stream from oil and gas development. Reuse or disposal of these waters is difficult due to their high salinities and the sheer volumes generated. Produced waters may also contain valuable mineral commodities. While an understanding of produced water trace element composition is required for evaluating the associated resource and waste potential of these materials, measuring trace elements in brines is challenging due to the dilution requirements of typical methods. Alternatively, inductively coupled plasma-optical emission spectrometry (ICP-OES) has shown promise as being capable of direct measurements of trace elements within produced waters with minimal dilution. Here we evaluate direct ICP-OES trace element quantification in produced waters for 17 trace elements (As, Al, Ba, Be, Cd, Cr, Co, Cu, Hg, Mo, Ni, Pb, Rb, Sb, U, V, and Zn) within 15 produced waters from five U.S. continuous reservoirs. The ICP-OES results are compared against trace element levels determined using inductively coupled plasma-mass spectrometry from the same samples. Our results demonstrate the potential for direct analysis of high salinity waters using ICP-OES with minimal dilution and provide trace element concentrations in waters from several important U.S. petroleum-generating reservoirs where available data is sparse.","language":"English","publisher":"Wiley","doi":"10.1111/GGR.12316","usgsCitation":"Jubb, A., Engle, M., Chenault, J., Blondes, M., Danforth, C.G., Doolan, C., Gallegos, T., Mueller, D., and Shelton, J., 2020, Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance: Geostandards and Geoanalytical Research, v. 44, no. 2, p. 385-397, https://doi.org/10.1111/GGR.12316.","productDescription":"13 p.","startPage":"385","endPage":"397","ipdsId":"IP-111055","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457922,"rank":0,"type":{"id":40,"text":"Open 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40.74725696280421\n ],\n [\n -81.8701171875,\n 39.33429742980725\n ],\n [\n -80.5517578125,\n 38.20365531807149\n ],\n [\n -78.79394531249999,\n 38.89103282648846\n ],\n [\n -76.37695312499999,\n 42.261049162113856\n ],\n [\n -74.970703125,\n 43.100982876188546\n ],\n [\n -73.6962890625,\n 43.03677585761058\n ],\n [\n -73.6083984375,\n 44.08758502824516\n ],\n [\n -75.849609375,\n 43.644025847699496\n ],\n [\n -79.6728515625,\n 42.261049162113856\n ],\n [\n -82.1337890625,\n 41.31082388091818\n ],\n [\n -82.3974609375,\n 40.74725696280421\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":222085,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":222079,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danforth, Cloelle G.","contributorId":222080,"corporation":false,"usgs":false,"family":"Danforth","given":"Cloelle","email":"","middleInitial":"G.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":781219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doolan, Colin 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":222081,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":222082,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Dan","contributorId":222083,"corporation":false,"usgs":false,"family":"Mueller","given":"Dan","email":"","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":781220,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shelton, Jenna 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":222084,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781124,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211920,"text":"70211920 - 2020 - Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2020-08-11T20:37:45.689104","indexId":"70211920","displayToPublicDate":"2020-01-31T15:30:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon","docAbstract":"Unsustainably high mortality within the first 2 years of life prevents endangered Lost River Suckers Deltistes luxatus in Upper Klamath Lake, Oregon, from recruiting to spawning populations. Massive blooms of the cyanobacterium Aphanizomenon flos‐aquae and their subsequent death and decay in the lake (bloom‐crashes) are associated with high pH, low percent oxygen saturation, high total ammonia concentrations, and spikes in the cyanotoxin microcystin. Poor water quality within the lake is considered the most likely cause of juvenile sucker mortality, but mechanisms causing the high mortality are not known. We introduced PIT‐tagged age‐1 Lost River suckers into three continuously monitored mesocosms in Upper Klamath Lake to determine the timing of juvenile sucker mortality relative to pH, temperature, and dissolved oxygen. Mortality was inferred from a lack of movement detected on remote PIT tag detection equipment within each mesocosm. Mortality was compared among mesocosms and an indoor tank‐held control group. We fitted time‐varying Cox hazard models to test hypotheses about short‐term and chronic effects of single and co‐occurring water quality parameters on the daily hazard rate. Presumed healthy or moribund fish that were collected pre‐season, mid‐season, or at the end of the study were examined macroscopically and histologically to generate inferences about the causes of mortality. Models did not indicate a plausible association between water quality variables and mortality. Hypoxia preceded periods of higher mortality at two of three sites but did not co‐occur with mortality. Hatchery‐reared Lost River Suckers confined to mesocosms may not represent the behavior of wild fish, and it is unclear whether the same factors affect the mortality of wild age‐0 suckers.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10227","usgsCitation":"Burdick, S.M., Hereford, D.M., Conway, C.M., Banet, N.V., Powers, R., Martin, B.A., and Elliott, D.G., 2020, Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon: Transactions of the American Fisheries Society, v. 149, no. 3, p. 245-265, https://doi.org/10.1002/tafs.10227.","productDescription":"21 p.","startPage":"245","endPage":"265","ipdsId":"IP-111701","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":377390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.13226318359375,\n 42.200038266046754\n ],\n [\n -121.74774169921875,\n 42.200038266046754\n ],\n [\n -121.74774169921875,\n 42.60768474453004\n ],\n [\n -122.13226318359375,\n 42.60768474453004\n ],\n [\n -122.13226318359375,\n 42.200038266046754\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"149","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hereford, Danielle M 0000-0001-8993-6144","orcid":"https://orcid.org/0000-0001-8993-6144","contributorId":238014,"corporation":false,"usgs":false,"family":"Hereford","given":"Danielle","email":"","middleInitial":"M","affiliations":[{"id":47681,"text":"U. S. Bureau of Reclamation, Klamath Basin Area Office, 6600 Washburn Way, Klamath Falls, Oregon, 97603","active":true,"usgs":false}],"preferred":false,"id":795813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banet, Nathan V 0000-0002-8537-1702","orcid":"https://orcid.org/0000-0002-8537-1702","contributorId":238015,"corporation":false,"usgs":false,"family":"Banet","given":"Nathan","email":"","middleInitial":"V","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":795815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Rachel L. 0000-0001-6901-4361","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":190182,"corporation":false,"usgs":true,"family":"Powers","given":"Rachel L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795818,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70245270,"text":"70245270 - 2020 - Differences in antibody responses against Chelonid Alphaherpesvirus 5 (ChHV5) suggest differences in virus biology in ChHV5-seropositive green turtles from Hawaii and ChHV5-seropositive green turtles from Florida","interactions":[],"lastModifiedDate":"2023-06-21T16:49:18.516743","indexId":"70245270","displayToPublicDate":"2020-01-31T11:44:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Differences in antibody responses against Chelonid Alphaherpesvirus 5 (ChHV5) suggest differences in virus biology in ChHV5-seropositive green turtles from Hawaii and ChHV5-seropositive green turtles from Florida","docAbstract":"Fibropapillomatosis (FP) is a tumor disease associated with a herpesvirus (chelonid herpesvirus 5 [ChHV5]) that affects mainly green turtles globally. Understanding the epidemiology of FP has been hampered by a lack of robust serological assays to monitor exposure to ChHV5. This is due in part to an inability to efficiently culture the virus in vitro for neutralization assays. Here, we expressed two glycoproteins (FUS4 and FUS8) from ChHV5 using baculovirus. These proteins were immobilized on enzyme-linked immunosorbent assay plates in their native form and assayed for reactivity to two types of antibodies, full-length 7S IgY and 5.7S IgY, which has a truncated Fc region. Turtles from Florida were uniformly seropositive to ChHV5 regardless of tumor status. In contrast, in turtles from Hawaii, we detected strong antibody reactivity mainly in tumored animals, with a lower antibody response being seen in nontumored animals, including those from areas where FP is enzootic. Turtles from Hawaii actively shedding ChHV5 were more seropositive than nonshedders. In trying to account for differences in the serological responses to ChHV5 between green turtles from Hawaii and green turtles from Florida, we rejected the cross-reactivity of antibodies to other herpesviruses, differences in viral epitopes, or differences in procedure as likely explanations. Rather, behavioral or other differences between green turtles from Hawaii and green turtles from Florida might have led to the emergence of biologically different viral strains. While the strains from turtles in Florida apparently spread independently of tumors, the transmission of the Hawaiian subtype relies heavily on tumor formation.
","language":"English","publisher":"ASM Journals","doi":"10.1128/JVI.01658-19","usgsCitation":"Work, T.M., Dagenais, J., Willimann, A., Balazs, G., Mansfield, K., and Ackermann, M., 2020, Differences in antibody responses against Chelonid Alphaherpesvirus 5 (ChHV5) suggest differences in virus biology in ChHV5-seropositive green turtles from Hawaii and ChHV5-seropositive green turtles from Florida: Journal of Virology, v. 94, no. 4, e01658-19, 15 p., https://doi.org/10.1128/JVI.01658-19.","productDescription":"e01658-19, 15 p.","ipdsId":"IP-113540","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":457924,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6997749","text":"External Repository"},{"id":418309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418308,"rank":1,"type":{"id":30,"text":"Data 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\"}}]}","volume":"94","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":875866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":875867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willimann, Anna","contributorId":310753,"corporation":false,"usgs":false,"family":"Willimann","given":"Anna","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":875868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George","contributorId":310754,"corporation":false,"usgs":false,"family":"Balazs","given":"George","affiliations":[{"id":67262,"text":"Golden Honu Services","active":true,"usgs":false}],"preferred":false,"id":875869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mansfield, Kate","contributorId":310755,"corporation":false,"usgs":false,"family":"Mansfield","given":"Kate","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":875870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackermann, Mathias","contributorId":310756,"corporation":false,"usgs":false,"family":"Ackermann","given":"Mathias","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":875871,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217164,"text":"70217164 - 2020 - Predictive relations between acid-base chemistry and fish assemblages in streams of the Adirondack Mountains","interactions":[],"lastModifiedDate":"2021-01-08T17:30:33.449604","indexId":"70217164","displayToPublicDate":"2020-01-31T11:26:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5590,"text":"NYSERDA Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"20-04","title":"Predictive relations between acid-base chemistry and fish assemblages in streams of the Adirondack Mountains","docAbstract":"Surface waters across much of New York State’s Adirondack Mountains were acidified in the late 20th century but began to recover following the 1990 Title IV Amendments to the Clean Air Act. Previous assessments of acidification recovery in the Adirondacks have generally been based on surface water chemistry data and inferred relationships to fish and other aquatic biota. Little data, however, has been available to characterize biological impacts and predict recovery of fish assemblages in streams of the region. Here, we use quantitative fish surveys combined with chemistry data from 48 headwater streams sampled during summer 2014–2016 to develop logistic (probability) models that characterize the status of contemporary fish assemblages and predict how different N and S deposition loads may affect future fish assemblages. Statistical models for inorganic aluminum (Ali) and richness ≥1 species; and for acid neutralizing capacity (ANC) and total density >400 fish/0.1 ha, total biomass >1500 g/0.1 ha, brook trout Salvelinus fontinalis density >0 or >200 fish/0.1 ha, and brook trout biomass >1000 g/0.1 ha were suitable for evaluating community and population responses to changes in acid-base chemistry. Predictions of fish-assemblage responses using several of these models demonstrated that anticipated changes in national (U.S.) secondary standards for atmospheric emissions of NOx and SOx to achieve target N and S deposition loads are likely to alter the acid-base chemistry and the probabilities of observing various levels of brook trout population and fish-community metrics in streams across the region and elsewhere.
The 2016–2017 shallow submarine eruption of Bogoslof volcano produced numerous infrasound signals over 9 months that were recorded on six Alaska Volcano Observatory (AVO) arrays at ranges of 59 to over 800 km from the volcano. The lack of geophysical monitoring near Bogoslof and the repeated production of volcanic clouds to flight levels made monitoring by remote infrasound critical during the eruption; for the first time, AVO relied extensively on automated infrasound detections from regional arrays to dispatch timely notifications of the ongoing activity. Most of the 70 eruptive events were detected on at least one array, but no array detected all of the events mainly because atmospheric conditions were highly variable during the eruption. Acoustic propagation modeling helps explain some of the variation in array detections but also highlights limitations in regional propagation models. To our knowledge, this is the first example of well-recorded infrasound from an explosive eruption occurring in shallow seawater, providing extensive insights into eruption dynamics in this unique environment. The dominance of low-frequency infrasound (0.1–1 Hz) is attributed to eruptions occurring beneath tens of meters of seawater. Higher-frequency infrasound signals were mostly limited to eruptions where the vent was isolated from major interaction with seawater or in several cases where a lava dome grew above sea level.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1355-0","usgsCitation":"Lyons, J.J., Iezzi, A., Fee, D., Schwaiger, H., Wech, A., and Haney, M.M., 2020, Infrasound generated by the 2016-2017 shallow submarine eruption of Bogoslof volcano, Alaska: Bulletin of Volcanology, v. 82, 19, 14 p., https://doi.org/10.1007/s00445-019-1355-0.","productDescription":"19, 14 p.","ipdsId":"IP-112505","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":383363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -178.63769531249997,\n 48.86471476180277\n ],\n [\n -155.0390625,\n 48.86471476180277\n ],\n [\n -155.0390625,\n 61.39671887310411\n ],\n [\n -178.63769531249997,\n 61.39671887310411\n ],\n [\n -178.63769531249997,\n 48.86471476180277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":810600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":196436,"corporation":false,"usgs":false,"family":"Iezzi","given":"Alexandra M.","affiliations":[],"preferred":false,"id":810601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":810602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":810605,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208223,"text":"70208223 - 2020 - Progress in natural capital accounting for ecosystems","interactions":[],"lastModifiedDate":"2020-01-31T10:13:43","indexId":"70208223","displayToPublicDate":"2020-01-31T09:56:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Progress in natural capital accounting for ecosystems","docAbstract":"Reversing the ongoing degradation of the planet's ecosystems requires timely and detailed monitoring of ecosystem change and uses. Yet, the System of National Accounts (SNA), first developed in response to the economic crisis of the 1930s and used by statistical offices worldwide to record economic activity (for example, production, consumption, and asset accumulation), does not make explicit either inputs from the environment to the economy or the cost of environmental degradation (1, 2). Experimental Ecosystem Accounting (EEA), part of the System of Environmental-Economic Accounting (SEEA), has been developed to monitor and report on ecosystem change and use, using the same accounting approach, concepts, and classifications as the SNA (3). The EEA is part of the statistical community's response to move SNA measurement “beyond gross domestic product (GDP).” With the first generation of ecosystem accounts now published in 24 countries, and with a push to finalize a United Nations (UN) statistical standard for ecosystem accounting by 2021, we highlight key advances, challenges, and opportunities.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aaz8901","usgsCitation":"Hein, L., Bagstad, K.J., Obst, C., Edens, B., Schenau, S., Castillo, G., Soulard, F., Brown, C., Driver, A., Bordt, M., Steurer, A., Harris, R., and Capparros, A., 2020, Progress in natural capital accounting for ecosystems: Science, v. 6477, no. 367, p. 514-515, https://doi.org/10.1126/science.aaz8901.","productDescription":"2 p.","startPage":"514","endPage":"515","ipdsId":"IP-108491","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6477","issue":"367","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, Lars","contributorId":176849,"corporation":false,"usgs":false,"family":"Hein","given":"Lars","email":"","affiliations":[],"preferred":false,"id":781013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":781012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obst, Carl","contributorId":176851,"corporation":false,"usgs":false,"family":"Obst","given":"Carl","email":"","affiliations":[],"preferred":false,"id":781014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edens, Bram","contributorId":176850,"corporation":false,"usgs":false,"family":"Edens","given":"Bram","email":"","affiliations":[],"preferred":false,"id":781015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenau, Sjoerd","contributorId":222041,"corporation":false,"usgs":false,"family":"Schenau","given":"Sjoerd","email":"","affiliations":[{"id":27734,"text":"Statistics Netherlands","active":true,"usgs":false}],"preferred":false,"id":781016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castillo, Gem","contributorId":222042,"corporation":false,"usgs":false,"family":"Castillo","given":"Gem","email":"","affiliations":[{"id":40481,"text":"Resources, Environment and Economics Center for Studies, Philippines","active":true,"usgs":false}],"preferred":false,"id":781017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Soulard, Francois","contributorId":211874,"corporation":false,"usgs":false,"family":"Soulard","given":"Francois","email":"","affiliations":[{"id":38339,"text":"Statistics Canada","active":true,"usgs":false}],"preferred":false,"id":781018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Claire","contributorId":222043,"corporation":false,"usgs":false,"family":"Brown","given":"Claire","email":"","affiliations":[{"id":40482,"text":"UNEP-World Conservation Monitoring Centre","active":true,"usgs":false}],"preferred":false,"id":781019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driver, Amanda","contributorId":222044,"corporation":false,"usgs":false,"family":"Driver","given":"Amanda","email":"","affiliations":[{"id":40483,"text":"South African National Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":781020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bordt, Michael 0000-0001-5634-2294","orcid":"https://orcid.org/0000-0001-5634-2294","contributorId":222045,"corporation":false,"usgs":false,"family":"Bordt","given":"Michael","email":"","affiliations":[{"id":40484,"text":"UN Economic and Social Commission for Asia and the Pacific","active":true,"usgs":false}],"preferred":false,"id":781021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Steurer, Anton","contributorId":222046,"corporation":false,"usgs":false,"family":"Steurer","given":"Anton","email":"","affiliations":[{"id":40485,"text":"Statistical Office of the European Union","active":true,"usgs":false}],"preferred":false,"id":781022,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harris, Rocky","contributorId":222065,"corporation":false,"usgs":false,"family":"Harris","given":"Rocky","email":"","affiliations":[],"preferred":false,"id":781094,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Capparros, Alejandro","contributorId":222047,"corporation":false,"usgs":false,"family":"Capparros","given":"Alejandro","email":"","affiliations":[{"id":34335,"text":"Spanish National Research Council","active":true,"usgs":false}],"preferred":false,"id":781023,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70208466,"text":"70208466 - 2020 - Expert bioblitzes facilitate non-native fish tracking and interagency partnerships","interactions":[],"lastModifiedDate":"2020-03-11T15:32:23","indexId":"70208466","displayToPublicDate":"2020-01-31T09:40:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Expert bioblitzes facilitate non-native fish tracking and interagency partnerships","docAbstract":"Documenting the distribution and composition of non-native species populations can be challenging, especially when species cross jurisdictional boundaries that require interagency coordination. Herein I report the development of three tools that have been used in Florida over the past seven years to assist with tracking of non-native fishes: 1) an overarching organization to increase coordination and communication amongst stakeholders (Florida Non-Native Fish Action Alliance); 2) regularly-scheduled expert bioblitzes (Fish Slams); and 3) symposia (Fish Chats). Ten Fish Slams were held since 2012, which have included nearly 100 individuals from 20 organizations. Participants have sampled nearly 200 unique sites, capturing 36 non-native fish taxa. These activities have generated over 600 records for the U.S. Geological Survey’s Nonindigenous Aquatic Species database. Many specimens collected during Fish Slams are deposited into natural history museums or used by researchers. Informal interactions amongst colleagues working together in the field, at check-in meetings at the end of the day, and during more structured Fish Chat symposia allow members of various organizations to become acquainted, build trust, and share information and technology, which may then lead to professional collaborations. While this program is focused on non-native fish species in south Florida, I also discuss how the expert bioblitz may be adapted to suit other taxonomic groups and a variety of conservation needs.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2020.11.1.10","usgsCitation":"Schofield, P.J., 2020, Expert bioblitzes facilitate non-native fish tracking and interagency partnerships: Management of Biological Invasions, v. 11, no. 1, p. 139-154, https://doi.org/10.3391/mbi.2020.11.1.10.","productDescription":"16 p.","startPage":"139","endPage":"154","ipdsId":"IP-109058","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2020.11.1.10","text":"Publisher Index Page"},{"id":372225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -81.7822265625,\n 25.08062377244484\n ],\n [\n -80.013427734375,\n 25.08062377244484\n ],\n [\n -80.013427734375,\n 26.59343927024179\n ],\n [\n -81.7822265625,\n 26.59343927024179\n ],\n [\n -81.7822265625,\n 25.08062377244484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":782015,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208591,"text":"70208591 - 2020 - Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems","interactions":[],"lastModifiedDate":"2020-02-20T09:12:46","indexId":"70208591","displayToPublicDate":"2020-01-31T09:12:37","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems","docAbstract":"Scanning electron microscopy (SEM) has revolutionized our understanding of shale petroleum systems through microstructural characterization of dispersed organic matter (OM). However, due to the low atomic weight of carbon, all OM appears black in SEM (BSE image) regardless of differences in thermal maturity or OM type (kerogen types or solid bitumen). Traditional petrographic identification of OM uses optical microscopy, where reflectance (%Ro), form, relief and fluorescence can be used to discern OM types and thermal maturation stage. Unfortunately, most SEM studies of shale OM do not employ correlative optical techniques, leading to misidentifications or to the conclusion that all OM (i.e., kerogen and solid bitumen) is the same. To improve the accuracy of SEM identifications of dispersed OM in shale, this study used correlative light and electron microscopy (CLEM) to create optical and SEM images of OM in the same fields of view (500x magnification) under white light, blue light, secondary electron, and backscatter electron conditions. Samples (n=8) of varying thermal maturities and typical of the North American shale petroleum systems were used, including the Green River Mahogany Zone, Bakken Formation, Ohio Shale, Eagle Ford Formation, Barnett Formation, Haynesville Formation and Woodford Shale. The CLEM image sets demonstrate the importance of correlative microscopy by showing how easily OM can be misidentified when viewed by SEM alone. Without CLEM techniques, petrographic data from SEM such as observations of organic nano-porosity may be misinterpreted, resulting in false or ambiguous results and impairing an improved understanding of organic diagenesis and catagenesis.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mudstone diagenesis: Research perspectives for shale hydrocarbon reservoirs, seals, and source rocks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","isbn":"9180891814252","usgsCitation":"Valentine, B.J., and Hackley, P.C., 2020, Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems, chap. 1 of Mudstone diagenesis: Research perspectives for shale hydrocarbon reservoirs, seals, and source rocks, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-093317","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372421,"type":{"id":15,"text":"Index Page"},"url":"https://store.aapg.org/detail.aspx?id=1310"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":782638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":782677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226997,"text":"70226997 - 2020 - Ecosystem-specific growth responses to climate pattern by a temperate freshwater fish","interactions":[],"lastModifiedDate":"2021-12-27T14:45:19.675432","indexId":"70226997","displayToPublicDate":"2020-01-31T08:42:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem-specific growth responses to climate pattern by a temperate freshwater fish","docAbstract":"Somatic growth patterns among animal populations are maintained through complex processes that vary among ecosystems. Changes in growth patterns may be concomitant with changes in climate; however, understanding how growth will manifest among ecosystems is limited. Information embedded within fish hard-parts (i.e., otoliths, spines, vertebrae) can account for variation in growth patterns resulting from changing climate conditions. Channel catfish Ictalurus punctatus is a freshwater fish species widely distributed across North America with limited information regarding climate influences on growth and differences in climate-growth relations among ecological systems. We assessed growth (total length) response to changing climate conditions for channel catfish among three waterbody types—pit lakes, irrigation and power-generation reservoirs, and flood-control reservoirs in Nebraska, USA. We used linear mixed-effect models and an information theoretic approach to assess the relative strengths among competing hypotheses. The most supported linear mixed-effect model of channel catfish growth was a function of fish age and an interaction between waterbody type and growing-degree-day (GDD). A positive trend existed in GDD from 1990 through 2008 whereby the predicted increase in GDD among waterbody types ranged from 182 GDD to 189 GDD. The predicted change in channel catfish growth resulting from increased GDD ranged from 1% to 39% among waterbody types. Channel catfish population rate functions, thus, may not respond similarly to climate conditions across ecosystem types. Changes in climate variables may contribute to system-specific responses in population dynamics for channel catfish as well as other similar freshwater species. The establishment of relations between climate and growth variables for a freshwater generalist with a plastic diet and broad temperature tolerance serves as an indication of the breadth of responses possible for freshwater fishes under global changes in climate conditions.