{"pageNumber":"243","pageRowStart":"6050","pageSize":"25","recordCount":46677,"records":[{"id":70227712,"text":"70227712 - 2020 - Model-based clustering reveals patterns in central place use of a marine top predator","interactions":[],"lastModifiedDate":"2022-01-27T16:07:29.994101","indexId":"70227712","displayToPublicDate":"2020-06-12T10:02:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Model-based clustering reveals patterns in central place use of a marine top predator","docAbstract":"

Satellite telemetry data are commonly used to quantify habitat selection, examine animal movements, and delineate home ranges. These data also contain valuable information concerning dens, nests, roosts, and other central places that are often associated with important life history events and may exhibit unique characteristics; however, using satellite telemetry data to study central places is complicated by common nuances like locational error and animal movement. We coupled a novel modeling framework that accounts for these nuances with an Argos satellite telemetry dataset to examine the spatiotemporal behavior associated with harbor seal haul-out sites on Kodiak Island, Alaska, USA. The methodology incorporates an observation model that accommodates multiple sources of uncertainty in telemetry data and a flexible Bayesian nonparametric model to uncover latent clustering in the telemetry locations. We also contribute extensions to examine the effect of covariates on site selection and to obtain population-level inference concerning central place use. Harbor seal haul-out sites generally occurred in inlets and bays, areas that are isolated from the open water of the Gulf of Alaska. Most individuals selected haul-out sites that were protected from wave exposure. The effects of bathymetry and shoreline complexity on haul-out site selection were variable among individual seals, as were the effects of time of day, time since low tide, and day of year on temporal patterns of haul-out use. As repositories of satellite telemetry data on a wide variety of species accumulate, so do opportunities for using this information to learn about the locations of central places, as well as the temporal patterns in their use. The model-based approach we describe offers a practical and rigorous means for gaining insight concerning these sensitive locations, knowledge of which is important for the effective management and conservation of many species.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3123","usgsCitation":"Brost, B.M., Hooten, M., and Small, R., 2020, Model-based clustering reveals patterns in central place use of a marine top predator: Ecosphere, e03123, 15 p., https://doi.org/10.1002/ecs2.3123.","productDescription":"e03123, 15 p.","ipdsId":"IP-079248","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":456420,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3123","text":"Publisher Index Page"},{"id":394975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.171142578125,\n 56.32262930069559\n ],\n [\n -151.885986328125,\n 57.76865857271793\n ],\n [\n -152.479248046875,\n 58.019737000187305\n ],\n [\n -153.74267578125,\n 58.04300405858762\n ],\n [\n -155.115966796875,\n 57.320589769167135\n ],\n [\n -154.171142578125,\n 56.32262930069559\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2020-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Brost, Brian M.","contributorId":272252,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":831864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":831863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, Robert J.","contributorId":272253,"corporation":false,"usgs":false,"family":"Small","given":"Robert J.","affiliations":[{"id":56329,"text":"akfg","active":true,"usgs":false}],"preferred":false,"id":831865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210511,"text":"sir20205030 - 2020 - Statewide assessment of karst aquifers in New York with an inventory of closed-depression and focused-recharge features","interactions":[],"lastModifiedDate":"2020-06-12T16:06:26.425579","indexId":"sir20205030","displayToPublicDate":"2020-06-12T09:45:00","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":"2020-5030","displayTitle":"Statewide Assessment of Karst Aquifers in New York With an Inventory of Closed-Depression and Focused-Recharge Features","title":"Statewide assessment of karst aquifers in New York with an inventory of closed-depression and focused-recharge features","docAbstract":"

Karst is a landscape formed from the dissolution of soluble rock or rock containing minerals that are easily dissolved from within the rock. The landscape is characterized by sinkholes, caves, losing streams, springs, and underground drainage systems, which rapidly move water through the karst. The two forms of karst in New York State include carbonate karst, which forms in carbonate rock (limestone, marble, and dolostone), and evaporite karst, which forms in rock that contains the evaporite minerals gypsum and halite.

Past and recent studies of karst across the State have shown that areas of focused recharge in karstic carbonate rock allow contaminants to enter aquifer systems with little attenuation. Focused areas of recharge need to be identified to help prevent such contamination from sources on or adjacent to the karst. The New York State Departments of Environmental Conservation and Health are collaborating with the agricultural community to make farmers and farm-planning advisors more aware of karst and how to manage daily farming activities to reduce their impact on surface water and groundwater resources, especially in karst areas. There is also a need to make regulators, planners, and the general public aware of New York’s karst resources and to properly protect and manage these resources to protect the quality of groundwater and surface water that can flow into, through, and from karst bedrock.

Using publicly available geospatial data, karst bedrock and closed depressions over or near karst rock were identified across New York. Carbonate, evaporite, and marble geologic units were selected from a statewide 1:250,000-scale bedrock geology dataset. The selected geologic units were intersected with 7.5-minute quadrangle maps to define the study area.

The U.S. Geological Survey has compiled an inventory of closed depressions from statewide digital contour data, scanned 7.5-minute topographic maps known as a digital raster graphics, and light detection and ranging (lidar) digital elevation models. Analysis of the data resulted in the identification of 5,023 closed depressions statewide. The inventory was conducted to eliminate duplication of results from analysis of the three data sources. A series of overlay analyses was conducted using the closed depressions and thematic data known to be key factors in determining the probability of a closed depression contributing to focused groundwater recharge; the thematic data include bedrock geology, soil type, soil infiltration rate, and land cover.

Though the extent of karst development is important in understanding the interaction between surface water and groundwater in karst terrains, some of the worst cases of groundwater contamination in karst can occur where only minor karst features might be present. The presence of karst—be it a short section of a solutioned fracture or an extensive cave system—requires careful consideration, forward-looking environmental planning, and consistent water-quality protection to preserve New York State’s water resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205030","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Kappel, W.M., Reddy, J.E., and Root, J.C., 2020, Statewide assessment of karst aquifers in New York with an inventory of closed-depression and focused-recharge features: U.S. Geological Survey Scientific Investigations Report 2020–5030, 74 p., https://doi.org/10.3133/sir20205030.","productDescription":"Report: viii, 74 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-090019","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":375401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5030/coverthb.jpg"},{"id":375404,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGN5IJ","text":"USGS data release","linkHelpText":"Data for statewide assessment of New York’s karst aquifers with an inventory of closed-depression and focused-recharge features"},{"id":375534,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5030/sir20205030.pdf","text":"Report","size":"19.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5030"},{"id":375482,"rank":2,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5030/sir20205030_table1.pdf","text":"Table 1","size":"140 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Stratigraphic column of New York State bedrock indicating those units in which karst features might be present"}],"country":"United States","state":"New 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York\",\"nation\":\"USA \"}}]}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-06-12","noUsgsAuthors":false,"publicationDate":"2020-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Root, Jonathan Casey 0000-0003-0537-4418","orcid":"https://orcid.org/0000-0003-0537-4418","contributorId":223107,"corporation":false,"usgs":true,"family":"Root","given":"Jonathan","email":"","middleInitial":"Casey","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210999,"text":"70210999 - 2020 - Influence of hydropower outflow characteristics affecting riverbank stability: The lower Osage River case (Missouri, USA)","interactions":[],"lastModifiedDate":"2020-08-26T19:19:54.479689","indexId":"70210999","displayToPublicDate":"2020-06-12T08:27:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Influence of hydropower outflow characteristics affecting riverbank stability: The lower Osage River case (Missouri, USA)","docAbstract":"This research examined the influences of outflow characteristics affecting riverbank stability. The 130 km stretch of the lower Osage River downstream from Bagnell Dam (Missouri, USA) provided an excellent case study for this purpose. The integrated BSTEM model with the HEC-RAS model was accurately calibrated and validated with data from the U.S. Geological Survey (USGS). Then, the outflow characteristics (peak flow duration, flow drawdown rate, and low flow duration) were investigated individually. The results of this study showed that: 1) Riverbank stability is little affected by the duration time of the peak flow, especially on the reaches far from the dam. 2) Sudden flow drawdown significantly reduces riverbank stability. However, the impact of the drawdown rate decreases with distance from the dam. 3) The duration of the low flow after peak flow influences the riverbank stability value proportional to the distance from the dam. The time of low flow before failure increases as the distance from the dam increases.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02626667.2020.1772974","usgsCitation":"Mohammed-Ali, W., Mendoza, C., and Holmes, R.R., 2020, Influence of hydropower outflow characteristics affecting riverbank stability: The lower Osage River case (Missouri, USA): Hydrological Sciences Journal, v. 65, no. 10, p. 1784-1793, https://doi.org/10.1080/02626667.2020.1772974.","productDescription":"10 p.","startPage":"1784","endPage":"1793","ipdsId":"IP-110034","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":376250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Lower Osage River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.7081298828125,\n 38.13887716726548\n ],\n [\n -92.1697998046875,\n 38.13887716726548\n ],\n [\n -92.1697998046875,\n 38.302869955150044\n ],\n [\n -92.7081298828125,\n 38.302869955150044\n ],\n [\n -92.7081298828125,\n 38.13887716726548\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mohammed-Ali, Wesam","contributorId":225556,"corporation":false,"usgs":false,"family":"Mohammed-Ali","given":"Wesam","email":"","affiliations":[{"id":37501,"text":"Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":792383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendoza, Cesar","contributorId":225557,"corporation":false,"usgs":false,"family":"Mendoza","given":"Cesar","email":"","affiliations":[{"id":37501,"text":"Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":792384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":793358,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224298,"text":"70224298 - 2020 - Assessment of fire fuel load dynamics in shrubland ecosystems in the western United States using MODIS products","interactions":[],"lastModifiedDate":"2021-09-21T13:14:01.451306","indexId":"70224298","displayToPublicDate":"2020-06-12T08:11:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of fire fuel load dynamics in shrubland ecosystems in the western United States using MODIS products","docAbstract":"
Assessing fire behavior in shrubland/grassland ecosystems of the western United States has proven especially problematic, in part due to the complex nature of the vegetation and its relationships with prior fire history events. Our goals in this study were (1) to determine if we can effectively leverage the high temporal resolution capabilities of current remote sensing systems such as the Moderate Resolution Imaging Spectroradiometer (MODIS) to improve upon shrub and grassland mapping and (2) to determine if these improvements alter and improve fire behavior model results in these grass- and shrub-dominated systems. The study focused on the shrublands and grasslands of the Owyhee Basin, which is located primarily in southern Idaho. Shrubland and grassland fuel load dynamics were characterized using Normalized Difference Vegetation Index (NDVI) and Net Primary Production (NPP) datasets (both derived from MODIS). NDVI shrub and grassland values were converted to biomass, and custom fire behavior fuel models were then developed to evaluate the impacts of surface fuel changes on fire behaviors. Results from the study include the following: (1) high intra- and interannual spectral variability characterized these shrubland/grassland ecosystems, and this spectral variability was highly correlated with climate variables, most notably precipitation; (2) fire activity had a higher likelihood of occurring in areas where the NDVI (and biomass) differential between spring and summer values was especially high; (3) the annual fuel loads estimated from MODIS NPP showed that live herbaceous fuel loads were closely correlated with annual precipitation; (4) estimated fuel load accumulation was higher on shrublands than grasslands with the same vegetation productivity; (5) the total fuel load on shrublands was impacted by shrubland age, and live woody fuel load was over 66% of the total fuel load; and (6) comparisons of simulated fire behavior and spread between dynamic and static fuel loads, the latter estimates being obtained from the operational and nationwide LANDFIRE program, showed clear differences in fire indices and fire burn areas between the dynamic fuel loads and the static fuel loads. Current standard fuel models appear to have bias in underestimating the fire spread and total burnable area. 
","language":"English","publisher":"MDPI","doi":"10.3390/rs12121911","usgsCitation":"Li, Z., Shi, H., Vogelmann, J., Hawbaker, T., and Peterson, B., 2020, Assessment of fire fuel load dynamics in shrubland ecosystems in the western United States using MODIS products: Remote Sensing, v. 12, no. 12, 1911, 17 p., https://doi.org/10.3390/rs12121911.","productDescription":"1911, 17 p.","ipdsId":"IP-119451","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":456429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12121911","text":"Publisher Index Page"},{"id":389544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Oregon, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.091796875,\n 41.21172151054787\n ],\n [\n -112.8076171875,\n 41.21172151054787\n ],\n [\n -112.8076171875,\n 44.02442151965934\n ],\n [\n -119.091796875,\n 44.02442151965934\n ],\n [\n -119.091796875,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Zhen","contributorId":200957,"corporation":false,"usgs":false,"family":"Li","given":"Zhen","affiliations":[],"preferred":false,"id":823496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":823497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":823498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":823499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Birgit 0000-0002-2434-5391 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-2434-5391","contributorId":265825,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":823500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210607,"text":"ofr20201064 - 2020 - Juvenile Lost River and shortnose sucker year-class formation, survival, and growth in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2018 monitoring report","interactions":[],"lastModifiedDate":"2020-06-12T16:03:59.858553","indexId":"ofr20201064","displayToPublicDate":"2020-06-11T13:00:59","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1064","displayTitle":"Juvenile Lost River and Shortnose Sucker Year-Class Formation, Survival, and Growth in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2018 Monitoring Report","title":"Juvenile Lost River and shortnose sucker year-class formation, survival, and growth in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2018 monitoring report","docAbstract":"

Executive Summary

Populations of federally endangered Lost River (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir (hereinafter Clear Lake), California, are experiencing long-term decreases in abundance. Upper Klamath Lake populations are decreasing not only because of adult mortality, which is relatively low, but also because they are not being balanced by recruitment of young adult suckers into known adult spawning aggregations.

Long-term monitoring of juvenile sucker populations is conducted to (1) determine if there are annual and species-specific differences in production, survival, and growth; (2) better understand when juvenile sucker mortality is greatest, and (3) help identify potential causes of high juvenile sucker mortality, particularly in Upper Klamath Lake. The U.S. Geological Survey monitoring program, which began in 2015, tracks cohorts through summer months and among years in Upper Klamath and Clear Lakes. Data on juvenile suckers captured in trap nets are used to provide information on annual variability in age-0 sucker apparent production, juvenile sucker apparent survival, apparent growth, species composition, and health.

Juvenile sucker year-class strength and apparent survival were low in 2018 in Upper Klamath Lake. Most juvenile sucker mortality occurs within the first year of life. The Upper Klamath Lake year-class strength indices for Lost River and shortnose suckers in 2018 were the lowest they had been since the start of monitoring in 2015. The annual catch rates of shortnose sucker remained consistently low, whereas Lost River sucker catch rates varied. The capture of only four age-1 and older suckers from Upper Klamath Lake during the 2018 sampling season indicated low annual survival of the 2017 cohort.

Annual production indices of juvenile suckers in Clear Lake are highly variable and potentially affected by seasonal connections to spawning habitat in Willow Creek. A total of seven age-0 shortnose or Klamath largescale suckers (Catostomus snyderi) were captured from Clear Lake in 2018, which was a relatively wet year, indicating that a small cohort was formed or that there was a delay in the recruitment of age-0 suckers. The 2018 sampling continued to detect recruitment of juveniles from the 2015 cohort to the lake. Given the dysconnectivity between Willow Creek and Clear Lake during the 2015 spawning season, the continued recruitment of young fish of this cohort to the lake may be attributed to reproduction by resident suckers in Willow Creek. Suckers younger than age-3 in Clear Lake could be identified as either shortnose or Klamath largescale suckers. A stream resident life history, if it were occurring, is consistent with these fish being Klamath largescale suckers. Survival of all distinguishable taxa of juvenile suckers is much higher in Clear Lake than in Upper Klamath Lake, with non-trivial numbers of suckers surviving to join spawning aggregations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201064","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Bart, R.J., Burdick, S.M., Hoy, M.S., and Ostberg, C.O., 2020, Juvenile Lost River and shortnose sucker year-class formation, survival, and growth in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2018 monitoring report: U.S. Geological Survey Open-File Report 2020–1064, 33 p., https://doi.org/10.3133/ofr20201064.","productDescription":"vi, 33 p.","onlineOnly":"Y","ipdsId":"IP-116680","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375530,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1064/ofr20201064.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1064"},{"id":375529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1064/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Clear Lake Reservoir, 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 -121.25747680664064,\n 41.789744876718984\n ],\n [\n -121.04324340820312,\n 41.789744876718984\n ],\n [\n -121.04324340820312,\n 41.94519164538106\n ],\n [\n -121.25747680664064,\n 41.94519164538106\n ],\n [\n -121.25747680664064,\n 41.789744876718984\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1075439453125,\n 42.224449701009725\n ],\n [\n -121.76834106445311,\n 42.224449701009725\n ],\n [\n -121.76834106445311,\n 42.593532625649935\n ],\n [\n -122.1075439453125,\n 42.593532625649935\n ],\n [\n -122.1075439453125,\n 42.224449701009725\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2020-06-11","noUsgsAuthors":false,"publicationDate":"2020-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bart, Ryan J. 0000-0003-0310-0667","orcid":"https://orcid.org/0000-0003-0310-0667","contributorId":223561,"corporation":false,"usgs":true,"family":"Bart","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":790823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":790824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":790825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":790826,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210575,"text":"fs20203032 - 2020 - Purpose and benefits of U.S. Geological Survey Trusted Digital Repositories","interactions":[],"lastModifiedDate":"2022-04-13T20:51:48.754917","indexId":"fs20203032","displayToPublicDate":"2020-06-11T09:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3032","displayTitle":"Purpose and Benefits of U.S. Geological Survey Trusted Digital Repositories","title":"Purpose and benefits of U.S. Geological Survey Trusted Digital Repositories","docAbstract":"

Federal mandates and U.S. Geological Survey (USGS, also known as the Bureau) Fundamental Science Practices (FSP) policies require that publicly funded scientific data, publications, and derivative works be openly accessible to researchers and the public. Open access helps to leverage the public investment by making the acquired data and published information products—collectively referred to as “data assets”—easier to locate, reproduce, and reuse. Open access also provides transparency to the processes used to acquire and analyze the data, thereby helping to ensure the scientific integrity of USGS data and products.

The data assets produced by USGS programs, science centers, and projects are preserved digitally in various USGS and non-USGS repositories. To capitalize on the investment expended for data collection, analysis, and interpretation, these systems must remain useful and meaningful. For USGS repositories, the Bureau FSP Advisory Committee has implemented an evaluation process to ensure that the systems being used to preserve these data assets are trustworthy, reliable, and secure and thus provide for data longevity, integrity, and security. A system that is found to meet the reliability and suitability requirements is certified as a USGS Trusted Digital Repository.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203032","usgsCitation":"Latysh, N., Kirk, K.G., and Faundeen, J., 2020, Purpose and benefits of U.S. Geological Survey Trusted Digital Repositories: U.S. Geological Survey Fact Sheet 2020–3032, 4 p., https://doi.org/10.3133/fs20203032.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-108444","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":375487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3032/fs20203032.pdf","text":"Report","size":"453 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3032"},{"id":375486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3032/coverthb.jpg"}],"contact":"

Office of Science Quality and Integrity
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-06-11","noUsgsAuthors":false,"publicationDate":"2020-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":790648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Keith G. 0000-0002-8112-6216 kkirk@usgs.gov","orcid":"https://orcid.org/0000-0002-8112-6216","contributorId":205,"corporation":false,"usgs":true,"family":"Kirk","given":"Keith","email":"kkirk@usgs.gov","middleInitial":"G.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":790649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":790650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210940,"text":"70210940 - 2020 - Geochronologic and Hf-isotope framework of Proterozoic rocks from central New Mexico, USA: Formation of the Mazatzal crustal province in an extended continental margin arc","interactions":[],"lastModifiedDate":"2020-07-08T15:58:01.581242","indexId":"70210940","displayToPublicDate":"2020-06-11T08:52:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochronologic and Hf-isotope framework of Proterozoic rocks from central New Mexico, USA: Formation of the Mazatzal crustal province in an extended continental margin arc","docAbstract":"The growth of southern Laurentia has been attributed to the accretion of juvenile arc terranes during the successive 1.74-1.68 Ga Yavapai and 1.65-1.60 Ga Mazatzal orogenies. However, in light of the increasing importance of the ca. 1.49-1.40 Ga Mesoproterozoic Picuris orogeny, the tectonic setting in which the Mazatzal crustal province and its distinctive quartzite-rhyolite successions were generated needs additional examination. The Sandia-Manzano-Los Pinos uplift in central New Mexico is an ideal place to characterize the tectonic history of the Mazatzal crustal province. A comprehensive geochronologic and Hf-isotopic dataset for Proterozoic rocks of the Sandia-Manzano-Los Pinos uplift is presented. Plutonic and metavolcanic rocks in the Sandia-Manzano-Los Pinos uplift were emplaced in three pulses at 1668-1655 Ma, 1587 Ma, and 1459-1453 Ma. Hf-isotope data from the Paleoproterozoic plutonic rocks are juvenile, with both leucogranite and arc-related granodiorite yielding εHf(t) values ranging from +6 to +12, compared to the coeval depleted mantle value of +10 at ca. 1.65 Ga. Inherited zircon in Paleoproterozoic rocks suggest that crust older than 1.7 Ga was involved in their genesis. Hf-isotope data from Mesoproterozoic plutonic rocks in the Sandia-Manzano-Los Pinos uplift are consistent with derivation from 1.7-1.6 Ga lithosphere. Detrital zircon indicate that metasedimentary rocks of the lower Manzano Group were derived primarily from local sources that have U-Pb-Hf isotope compositions similar to the plutonic rocks which intrude and volcanic rocks that underlie the Manzano Group. The detrital zircon provenance of the Manzano Group broadens up-section from unimodal populations with age peaks at ca. 1.65 Ga to include 1.7-3.0 Ga detrital zircon derived from older Laurentian sources like the Yavapai and Mojave provinces. We offer a new model for the formation of the Mazatzal crustal province of New Mexico as a continental margin arc built on top of the previously assembled Yavapai province. The Manzano Group quartzite-rhyolite succession was formed by lithospheric extension above a north-dipping, southward retreating subduction zone. The Manzano Group was then subjected to ca. 1.65 Ga syn-magmatic tectonism and later intracratonic contractional tectonism, likely during the 1.46-1.40 Ga Picuris orogeny.","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2020.105820","usgsCitation":"Holland, M.E., Grambling, T.A., Karlstrom, K.E., Jones, J.V., Nagotko, K.N., and Daniel, C.G., 2020, Geochronologic and Hf-isotope framework of Proterozoic rocks from central New Mexico, USA: Formation of the Mazatzal crustal province in an extended continental margin arc: Precambrian Research, v. 347, 105820, 19 p., https://doi.org/10.1016/j.precamres.2020.105820.","productDescription":"105820, 19 p.","ipdsId":"IP-119090","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":436934,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U0P2ZY","text":"USGS data release","linkHelpText":"U-Pb Isotopic Data and Ages of Zircon from the Manzano Mountains, New Mexico"},{"id":376146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.45703125,\n 32.52828936482526\n ],\n [\n -103.46923828124999,\n 32.52828936482526\n ],\n [\n -103.46923828124999,\n 36.38591277287651\n ],\n [\n -108.45703125,\n 36.38591277287651\n ],\n [\n -108.45703125,\n 32.52828936482526\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"347","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holland, Mark E.","contributorId":228842,"corporation":false,"usgs":false,"family":"Holland","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":792239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grambling, Tyler A.","contributorId":228843,"corporation":false,"usgs":false,"family":"Grambling","given":"Tyler","email":"","middleInitial":"A.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":792240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":792241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":792242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagotko, Kimberly N.","contributorId":228845,"corporation":false,"usgs":false,"family":"Nagotko","given":"Kimberly","email":"","middleInitial":"N.","affiliations":[{"id":16651,"text":"Bucknell University","active":true,"usgs":false}],"preferred":false,"id":792243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daniel, Christopher G.","contributorId":195246,"corporation":false,"usgs":false,"family":"Daniel","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":25242,"text":"Department of Biology, Bucknell University, Lewisburg, Pennsylvania 17837, USA","active":true,"usgs":false}],"preferred":false,"id":792244,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211023,"text":"70211023 - 2020 - Land use effects on sediment nutrient processes in a heavily modified watershed using structural equation models","interactions":[],"lastModifiedDate":"2020-07-10T13:10:51.180487","indexId":"70211023","displayToPublicDate":"2020-06-11T08:07:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Land use effects on sediment nutrient processes in a heavily modified watershed using structural equation models","docAbstract":"Contemporary land use can affect sediment nutrient processes in rivers draining heavily modified watersheds; however, studies linking land use to sediment nutrient processes in large river networks are limited. In this study, we developed and evaluated structural equation models (SE models) for denitrification and phosphorus retention capacity to determine direct and indirect linkages between current land use and sediment nutrient processes during baseflow in the Fox River watershed, Wisconsin USA. A large spatial-scale dataset used for this study included sediment nitrogen and phosphorus retention measurements and land use information for 106 sites. The SE models for the Fox River watershed identified direct links between current land use and in-stream sediment nutrient processes. Sub-watersheds with agricultural land consisting of more natural land cover had lower surface water nitrate concentrations and higher denitrification enzyme activity than sub-watersheds with less alternative cover. This suggests that best management practices implemented in the Fox River watershed that restore natural land cover can improve water quality through nitrogen removal on the agricultural landscape and in the river network. Best management practices are not having the same measurable affect on phosphorus in the river network, most likely due to legacy phosphorus stored in the sediment.","language":"English","publisher":"Wiley","doi":"10.1029/2019WR026655","usgsCitation":"Kreiling, R.M., Thoms, M.C., Bartsch, L., Larson, J.H., and Christensen, V., 2020, Land use effects on sediment nutrient processes in a heavily modified watershed using structural equation models: Water Resources Research, v. 56, no. 7, e2019WR026655, 17 p., https://doi.org/10.1029/2019WR026655.","productDescription":"e2019WR026655, 17 p.","ipdsId":"IP-108469","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":376246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.95654296875,\n 44.61393394730626\n ],\n [\n -88.5498046875,\n 44.692088041727786\n ],\n [\n -88.26416015625001,\n 45.166547157856016\n ],\n [\n -88.714599609375,\n 45.62940492064498\n ],\n [\n -89.241943359375,\n 45.96642454131025\n ],\n [\n -89.8681640625,\n 45.706179285330855\n ],\n [\n -89.95605468750001,\n 44.95702412512118\n ],\n [\n -89.5166015625,\n 44.41808794374846\n ],\n [\n -89.439697265625,\n 43.929549935614574\n ],\n [\n -89.52758789062501,\n 43.57243174740972\n ],\n [\n -89.351806640625,\n 43.37311218381999\n ],\n [\n -88.93432617187501,\n 43.31718491566708\n ],\n [\n -88.53881835937499,\n 43.36512572875844\n ],\n [\n -88.11035156249999,\n 43.45291889355465\n ],\n [\n -87.82470703125,\n 44.134913443750726\n ],\n [\n -87.53906250000001,\n 44.574817404670306\n ],\n [\n -87.659912109375,\n 44.62957319195102\n ],\n [\n -87.879638671875,\n 44.527842798455474\n ],\n [\n -87.95654296875,\n 44.61393394730626\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":792461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":792463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792464,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208546,"text":"ofr20201016 - 2020 - Groundwater levels and generalized potentiometric surfaces, former Naval Air Warfare Center, West Trenton, New Jersey, 2018","interactions":[],"lastModifiedDate":"2020-06-11T15:47:54.04474","indexId":"ofr20201016","displayToPublicDate":"2020-06-09T12:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1016","displayTitle":"Groundwater Levels and Generalized Potentiometric Surfaces, Former Naval Air Warfare Center, West Trenton, New Jersey, 2018","title":"Groundwater levels and generalized potentiometric surfaces, former Naval Air Warfare Center, West Trenton, New Jersey, 2018","docAbstract":"

Groundwater-level conditions, generalized groundwater potentiometric surfaces, and generalized flow directions at the decommissioned Naval Air Warfare Center in West Trenton, New Jersey, were evaluated for calendar year 2018. Groundwater levels measured continuously in five on-site wells and one nearby off-site well were plotted as hydrographs for January 1, 2018, through December 31, 2018. Groundwater levels measured in 110 wells on June 18, 2018, were contoured as generalized potentiometric surfaces on maps and sections. Generalized groundwater-flow directions inferred from the June 2018 data are shown in the maps and sections.

Groundwater levels in six monitoring wells fluctuated in response to seasonal changes, precipitation, and pumping from “pump-and-treat” (P&T) wells. Record high precipitation totals in November, combined with a shutdown of three P&T wells in November, resulted in annual high water levels in late November for five of the six wells monitored. Annual high groundwater levels that occur during the fall are uncharacteristic of the typical timing of annual high water levels, which usually occur in the spring following low evapotranspiration during the winter months, compared to annual low water levels, which usually occur in fall because of high evapotranspiration during the summer months. The annual high water levels occurred following a 3-day precipitation event totaling 3.50 inches from November 24-26, which also caused the largest 1-day water-level increase for five of the six wells in 2018.

The groundwater-level contour maps and sections include generalized flow directions. Given the heterogeneity of the site’s fractured rock aquifers, contours and associated groundwater-flow directions shown on the maps and sections should be considered as broad conceptualizations. A nearly vertical fault striking southwest to northeast separates the northwestern part of the site underlain by the Lockatong Formation from the southeastern part, which is underlain by the Stockton Formation. In the Lockatong Formation, general groundwater-flow directions were toward P&T wells. The P&T wells limited the flow of groundwater in the Lockatong Formation from the site into the adjacent areas and contained most groundwater contamination within the site. A groundwater divide bisected the site; groundwater in the western part generally flowed to P&T wells 8BR, 15BR, 20BR, 29BR, 56BR, 91BR, and BRP-2, and groundwater in the eastern part generally flowed to P&T well 48BR. A groundwater divide also was present in the Stockton Formation. Groundwater west of the divide in the Stockton Formation generally flowed toward P&T well 22BR, and groundwater east of the divide generally flowed south and southeast, away from the site. Saprolite and fill from land surface to depths of 25 feet below land surface exhibit similar properties to those of porous media, and water levels in surficial wells were contoured using a porous media aquifer approach. Water levels in these surficial wells indicate that groundwater in the saprolite and fill flowed predominantly toward Gold Run and, to a lesser extent, the West Ditch spring that drains to Gold Run. In addition, some shallow groundwater was captured by the cone of depression in the fractured bedrock and was attributed to P&T well 48BR.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201016","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Fiore, A.R., and Lacombe, P.J., 2020, Groundwater levels and generalized potentiometric surfaces, former Naval Air Warfare Center, West Trenton, New Jersey, 2018: U.S. Geological Survey Open-File Report 2020–1016, 28 p., https://doi.org/10.3133/ofr20201016.","productDescription":"Report: v, 28 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-104199","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":375290,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1016/ofr20201016.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1016"},{"id":375285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1016/coverthb.jpg"},{"id":375288,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98N1GWV","text":"USGS data release","linkHelpText":"Reported groundwater levels and groundwater pump-and-treat withdrawals, former Naval Air Warfare Center, West Trenton, New Jersey, 2018"}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"Former Naval Air Warfare Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.81613278388977,\n 40.26694411855267\n ],\n [\n -74.80834364891052,\n 40.26694411855267\n ],\n [\n -74.80834364891052,\n 40.27319835024231\n ],\n [\n -74.81613278388977,\n 40.27319835024231\n ],\n [\n -74.81613278388977,\n 40.26694411855267\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-06-09","noUsgsAuthors":false,"publicationDate":"2020-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacombe, Pierre J.","contributorId":222520,"corporation":false,"usgs":false,"family":"Lacombe","given":"Pierre","email":"","middleInitial":"J.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":782379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70220212,"text":"70220212 - 2020 - Characterizing the diverse hydrogeology underlying rivers and estuaries using new floating transient electromagnetic methodology","interactions":[],"lastModifiedDate":"2021-04-27T16:30:13.554349","indexId":"70220212","displayToPublicDate":"2020-06-09T11:26:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the diverse hydrogeology underlying rivers and estuaries using new floating transient electromagnetic methodology","docAbstract":"

The hydrogeology below large surface water features such as rivers and estuaries is universally under-informed at the long reach to basin scales (tens of km+). This challenge inhibits the accurate modeling of fresh/saline groundwater interfaces and groundwater/surface water exchange patterns at management-relevant spatial extents. Here we introduce a towed, floating transient electromagnetic (TEM) system (i.e. FloaTEM) for rapid (up to 15 km/h) high resolution electrical mapping of the subsurface below large water bodies to depths often a factor of 10 greater than other towed instruments. The novel FloaTEM system is demonstrated at a range of diverse 4th through 6th-order riverine settings across the United States including 1) the Farmington River, near Hartford, Connecticut; 2) the Upper Delaware River near Barryville, New York; 3) the Tallahatchie River near Shellmound, Mississippi; and, 4) the Eel River estuary, on Cape Cod, near Falmouth, Massachusetts. Airborne frequency-domain electromagnetic and land-based towed TEM data are also compared at the Tallahatchie River site, and streambed geologic scenarios are explored with forward modeling. A range of geologic structures and pore water salinity interfaces were identified. Process-based interpretation of the case study data indicated FloaTEM can resolve varied sediment-water interface materials, such as the accumulation of fines at the bottom of a reservoir and permeable sand/gravel riverbed sediments that focus groundwater discharge. Bedrock layers were mapped at several sites, and aquifer confining units were defined at comparable resolution to airborne methods. Terrestrial fresh groundwater discharge with flowpaths extending hundreds of meters from shore was also imaged below the Eel River estuary, improving on previous hydrogeological characterizations of that nutrient-rich coastal exchange zone. In summary, the novel FloaTEM system fills a critical gap in our ability to characterize the hydrogeology below surface water features and will support more accurate prediction of groundwater/surface water exchange dynamics and fresh-saline groundwater interfaces.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140074","usgsCitation":"Lane, J.W., Briggs, M., Maurya, P., White, E.A., Pedersen, J., Auken, E., Terry, N., Minsley, B.J., Kress, W., LeBlanc, D.R., Adams, R.F., and Johnson, C., 2020, Characterizing the diverse hydrogeology underlying rivers and estuaries using new floating transient electromagnetic methodology: Science of the Total Environment, v. 740, 140074, 14 p., https://doi.org/10.1016/j.scitotenv.2020.140074.","productDescription":"140074, 14 p.","ipdsId":"IP-119384","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456460,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.140074","text":"Publisher Index Page"},{"id":436936,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E5JBAF","text":"USGS data release","linkHelpText":"Floating and Towed Transient Electromagnetic Surveys used to Characterize Hydrogeology underlying Rivers and Estuaries: March - December 2018"},{"id":385330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"740","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, John W. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":219742,"corporation":false,"usgs":true,"family":"Lane","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":814802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":814803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maurya, PK","contributorId":257644,"corporation":false,"usgs":false,"family":"Maurya","given":"PK","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":814804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":814805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedersen, JB","contributorId":257645,"corporation":false,"usgs":false,"family":"Pedersen","given":"JB","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":814806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Auken, Esben","contributorId":193991,"corporation":false,"usgs":false,"family":"Auken","given":"Esben","email":"","affiliations":[],"preferred":false,"id":814807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":814808,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":814809,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814810,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":814811,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814812,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":814813,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70211027,"text":"70211027 - 2020 - Changes in climate and land cover affect seasonal streamflow forecasts in the Rio Grande headwaters","interactions":[],"lastModifiedDate":"2023-03-27T17:19:48.95791","indexId":"70211027","displayToPublicDate":"2020-06-09T09:51:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Changes in climate and land cover affect seasonal streamflow forecasts in the Rio Grande headwaters","docAbstract":"

Seasonal streamflow forecast bias, changes in climate, snowpack, and land cover, and the effects of these changes on relations between basin‐wide snowpack, SNOw TELemetry (SNOTEL) station snowpack, and seasonal streamflow were evaluated in the headwaters of the Rio Grande, Colorado. Results indicate that shifts in the seasonality of precipitation and changing climatology are consistent with periods of overprediction and underprediction in streamflow forecasts. Multiple linear regression of SNOTEL data, postcedent precipitation, and land‐cover changes explained 2%–18% more variability in streamflow prediction than using SNOTEL station data alone. Simulated basin‐wide snowpack from a physically based model had significant negative trends in snow water equivalent (−4.33 mm/yr) and snow‐covered area (−0.05%/yr) during the melt period April–June. Simulated streamflow from a precipitation‐runoff model increased an average 5% when the effects of bark beetle‐induced tree mortality were compared to a baseline simulation with static vegetation. The effects of a 2013 wildfire increased simulated seasonal streamflow an average 35% for 1–4 years postfire. The combined effects of climate and land‐cover changes on snowpack‐streamflow relations highlight the difficulty in seasonal streamflow forecasting, which has important implications for water‐resource management.

","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12863","usgsCitation":"Penn, C.A., Clow, D.W., Sexstone, G.A., and Murphy, S.F., 2020, Changes in climate and land cover affect seasonal streamflow forecasts in the Rio Grande headwaters: Journal of the American Water Resources Association, v. 56, no. 5, p. 882-902, https://doi.org/10.1111/1752-1688.12863.","productDescription":"21 p.","startPage":"882","endPage":"902","ipdsId":"IP-109042","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":436937,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B08S5N","text":"USGS data release","linkHelpText":"Model input and output for hydrologic simulations in the Rio Grande Headwaters, Colorado, using the Precipitation-Runoff Modeling System (PRMS)"},{"id":376258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108,\n 37.25\n ],\n [\n -106,\n 37.25\n ],\n [\n -106,\n 38.25\n ],\n [\n -108,\n 38.25\n ],\n [\n -108,\n 37.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Penn, Colin A. 0000-0002-5195-2744 cpenn@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":5336,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"cpenn@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":792478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212498,"text":"70212498 - 2020 - The impact of sediment supply on the initiation and magnitude of runoff-generated debris flows","interactions":[],"lastModifiedDate":"2020-08-18T14:37:14.303197","indexId":"70212498","displayToPublicDate":"2020-06-09T09:37:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The impact of sediment supply on the initiation and magnitude of runoff-generated debris flows","docAbstract":"

Rainfall intensity‐duration (ID) thresholds are commonly used to assess the potential for runoff‐generated debris flows, but the sensitivity of these thresholds to sediment supply, which can change rapidly with time, is relatively unexplored. Furthermore, debris flows often self‐organize into distinct surges, but the factors controlling the magnitude and frequency of these surges, including sediment supply and grain size, are poorly constrained. We use a combination of numerical modeling and debris flow monitoring data from Chalk Cliffs, Colorado, USA, to explore how sediment supply influences rainfall ID thresholds for debris flows and surge properties. Results suggest that rainfall ID thresholds only become sensitive to sediment supply below a sediment thickness threshold. Surge magnitude is a nonmonotonic function of sediment supply (i.e., channel bed sediment thickness and grain size) with the largest surges tending to form at intermediate values of sediment availability with intermediate grain sizes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL087643","usgsCitation":"Tang, H., McGuire, L.A., Kean, J.W., and Smith, J.B., 2020, The impact of sediment supply on the initiation and magnitude of runoff-generated debris flows: Geophysical Research Letters, v. 47, no. 14, e2020GL087643, 13 p., https://doi.org/10.1029/2020GL087643.","productDescription":"e2020GL087643, 13 p.","ipdsId":"IP-118444","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":456464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gl087643","text":"Publisher Index Page"},{"id":377602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.31280899047852,\n 38.7080176975273\n ],\n [\n -106.17565155029297,\n 38.7080176975273\n ],\n [\n -106.17565155029297,\n 38.76613041372937\n ],\n [\n -106.31280899047852,\n 38.76613041372937\n ],\n [\n -106.31280899047852,\n 38.7080176975273\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"14","noUsgsAuthors":false,"publicationDate":"2020-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Hui","contributorId":215352,"corporation":false,"usgs":false,"family":"Tang","given":"Hui","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796590,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211707,"text":"70211707 - 2020 - Repeatable source, path, and site effects from the 2019 Ridgecrest M7.1 earthquake sequence","interactions":[],"lastModifiedDate":"2020-08-07T13:28:29.468565","indexId":"70211707","displayToPublicDate":"2020-06-09T08:24:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Repeatable source, path, and site effects from the 2019 Ridgecrest M7.1 earthquake sequence","docAbstract":"

We use a large instrumental dataset from the 2019 Ridgecrest earthquake sequence (Rekoske et al., 2019, 2020) to examine repeatable source‐, path‐, and site‐specific ground motions. A mixed‐effects analysis is used to partition total residuals relative to the Boore et al. (2014; hereafter, BSSA14) ground‐motion model. We calculate the Arias intensity stress drop for the earthquakes and find strong correlation with our event terms, indicating that they are consistent with source processes. We look for physically meaningful trends in the partitioned residuals and test the ability of BSSA14 to capture the behavior we observe in the data.

We find that BSSA14 is a good match to the median observations for M>4\">M>4M>4⁠. However, we find bias for individual events, especially those with small magnitude and hypocentral depth≥7  km\">depth≥7  kmdepth≥7  km⁠, for which peak ground acceleration is underpredicted by a factor of 2.5. Although the site amplification term captures the median site response when all sites are considered together, it does not capture variations at individual stations across a range of site conditions. We find strong basin amplification in the Los Angeles, Ventura, and San Gabriel basins. We find weak amplification in the San Bernardino basin, which is contrary to simulation‐based findings showing a channeling effect from an event with a north–south azimuth. This and an additional set of ground motions from earthquakes southwest of Los Angeles suggest that there is an azimuth‐dependent southern California basin response related to the orientation of regional structures when ground motion from waves traveling south–north are compared with those in the east–west direction. These findings exhibit the power of large, spatially dense ground‐motion datasets and make clear that nonergodic models are a way to reduce bias and uncertainty in ground‐motion estimation for applications like the U.S. Geological Survey National Seismic Hazard Model and the ShakeAlert earthquake early warning System.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200008","usgsCitation":"Parker, G.A., Baltay Sundstrom, A.S., Rekoske, J., and Thompson, E.M., 2020, Repeatable source, path, and site effects from the 2019 Ridgecrest M7.1 earthquake sequence: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1530-1548, https://doi.org/10.1785/0120200008.","productDescription":"19 p.","startPage":"1530","endPage":"1548","ipdsId":"IP-114679","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":377166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.377685546875,\n 34.94448806230625\n ],\n [\n -116.93298339843749,\n 34.94448806230625\n ],\n [\n -116.93298339843749,\n 36.20882309283712\n ],\n [\n -118.377685546875,\n 36.20882309283712\n ],\n [\n -118.377685546875,\n 34.94448806230625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":795201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":795202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":795203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":795204,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211960,"text":"70211960 - 2020 - Corrigendum to \"A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States\" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]","interactions":[],"lastModifiedDate":"2020-08-13T12:29:18.002301","indexId":"70211960","displayToPublicDate":"2020-06-08T16:37:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Corrigendum to \"A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States\" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]","docAbstract":"The authors regret that two thirds of the San Francisco Bay biomass data included in the Landsat random forest models were not scaled to the proper units of grams per square meter. This error affects the Landsat-only models in the article, which are models #1-4 shown in Table 6. The authors have thoroughly investigated the error and found that the final random forest model, including the selected dependent and independent variables, is still the most appropriate model for representing CONUS-wide tidal marsh aboveground biomass and carbon (C). Using the properly scaled biomass data we have corrected remote sensing-based estimates of tidal marsh aboveground biomass and C stocks, and we have corrected Tables 4, 6, 7 and 8 and Figures 5, 6, and 9 of the original article.","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2020.05.005","usgsCitation":"Byrd, K.B., Ballanti, L., Thomas, N., Nguyen, D., Holmquist, J., Simard, M., and Windham-Myers, L., 2020, Corrigendum to \"A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States\" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]: ISPRS Journal of Photogrammetry and Remote Sensing, v. 166, p. 63-67, https://doi.org/10.1016/j.isprsjprs.2020.05.005.","productDescription":"5 p.","startPage":"63","endPage":"67","ipdsId":"IP-119601","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":377448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":795964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":795965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nathan","contributorId":238066,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":795966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nguyen, Dung","contributorId":204125,"corporation":false,"usgs":false,"family":"Nguyen","given":"Dung","email":"","affiliations":[],"preferred":false,"id":795967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmquist, James","contributorId":238068,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":795968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simard, Marc","contributorId":238069,"corporation":false,"usgs":false,"family":"Simard","given":"Marc","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":795969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795970,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210693,"text":"70210693 - 2020 - Incorporating spatial synchrony in the status assessment of a threatened species with multivariate analysis","interactions":[],"lastModifiedDate":"2020-06-17T13:21:33.183776","indexId":"70210693","displayToPublicDate":"2020-06-07T08:14:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating spatial synchrony in the status assessment of a threatened species with multivariate analysis","docAbstract":"Spatial synchrony—correlated abundance fluctuations among distinct populations—is associated with increased extinction risk but is not a component of widely-used extinction risk assessments (e.g., IUCN Red List, U.S. Fish and Wildlife Service’s Species Status Assessment). Alongside traditional viability metrics (i.e., the number of populations, their spatial extent, the status of each population), consideration of spatial synchrony in these assessments may provide additional insight into extinction risk as well as the relative importance of intrinsic and extrinsic factors on population dynamics. We demonstrate a method for estimating abundance trends in populations of the endangered freshwater fish, the amber darter (Percina antesella), while simultaneously assessing support for spatial synchrony among its two populations in the Conasauga and Etowah rivers in Georgia, U.S.A. Our analysis was performed using multivariate autoregressive state-space (MARSS) models with annual sampling data from 1996-2018 at 16 sites distributed between the two populations. Our results indicate that amber darter populations have declined substantially, with 9% annual losses in both the Conasauga and Etowah rivers, suggesting rangewide imperilment. Furthermore, model selection indicated little support for models with independent dynamics between rivers, which may compound overall extinction risk. This analysis demonstrates the utility of tools such as MARSS models for assessing spatial synchrony and long-term population trajectories of imperiled species, resulting in improved vulnerability assessments that do not assume independence among separate populations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108612","usgsCitation":"Stowe, E., Wenger, S., Freeman, M., and Freeman, B.J., 2020, Incorporating spatial synchrony in the status assessment of a threatened species with multivariate analysis: Biological Conservation, v. 248, 108612, 9 p., https://doi.org/10.1016/j.biocon.2020.108612.","productDescription":"108612, 9 p.","ipdsId":"IP-114274","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":375661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Conasauga River, Etowah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.61257934570312,\n 34.6365977029715\n ],\n [\n -84.48692321777344,\n 34.6365977029715\n ],\n [\n -84.48692321777344,\n 34.70210643670556\n ],\n [\n -84.61257934570312,\n 34.70210643670556\n ],\n [\n -84.61257934570312,\n 34.6365977029715\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.86320495605469,\n 34.84085858477277\n ],\n [\n -84.7657012939453,\n 34.84085858477277\n ],\n [\n -84.7657012939453,\n 34.98219023115841\n ],\n [\n -84.86320495605469,\n 34.98219023115841\n ],\n [\n -84.86320495605469,\n 34.84085858477277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"248","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stowe, Edward","contributorId":225391,"corporation":false,"usgs":false,"family":"Stowe","given":"Edward","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":790989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":790990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":790992,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211289,"text":"70211289 - 2020 - Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters","interactions":[],"lastModifiedDate":"2020-07-22T15:05:33.044537","indexId":"70211289","displayToPublicDate":"2020-06-06T10:03:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters","docAbstract":"Nowcasts are tools used to provide timely and accurate water-quality assessments of threats to drinking-water and recreational resources from fecal contamination or cyanobacterial harmful algal blooms. They use mathematical models and techniques to provide near-real-time estimates of fecal-indicator bacteria (FIB) and cyanotoxin concentrations. Techniques include logic-based thresholds, decision trees (built with machine learning), multiple linear and binary logistic regression, artificial neural networks, and process-based deterministic models. The type of site (freshwater, marine, or river) and dependent variable (FIB or cyanotoxin) dictate which explanatory variables are used in models. Nowcast systems notify the public of associated public-health risks and can also be used to manage data for FIB models; work is ongoing to incorporate cyanotoxin models into some nowcasts. The Great Lakes NowCast in the USA has been operational since 2010 and includes 25 lake beaches and one recreational river site. Examples of other operational FIB nowcasts are described for locations in the USA and around the world. In many cases, models predicted exceedances of FIB standards with accuracies as good as or better than using the previous measured FIB concentration (persistence method). Accuracy and timeliness are vital to beach management decisions that protect public health and support the local recreation-driven economy. Nowcasts benefit the public by providing estimates of water-quality conditions in near-real-time. Managers can use nowcasts at recreational and drinking-water treatment plant sites when FIB or cyanotoxins are projected to be elevated to target sample collection, to provide near-real-time recreational advisories to the public, or to preemptively optimize drinking-water treatments or change intake options to mitigate possible adverse effects on drinking-water quality.","language":"English","publisher":"Elsevier","doi":"10.1016/j.mimet.2020.105970","usgsCitation":"Francy, D.S., Brady, A.M., Cicale, J.R., Dalby, H.D., and Stelzer, E., 2020, Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters: Journal of Microbiological Methods, v. 175, 105970, 11 p., https://doi.org/10.1016/j.mimet.2020.105970.","productDescription":"105970, 11 p.","ipdsId":"IP-117123","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mimet.2020.105970","text":"Publisher Index Page"},{"id":376634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"175","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cicale, Jessica R. 0000-0002-0008-4051","orcid":"https://orcid.org/0000-0002-0008-4051","contributorId":208157,"corporation":false,"usgs":true,"family":"Cicale","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalby, Harrison D 0000-0001-6048-3217","orcid":"https://orcid.org/0000-0001-6048-3217","contributorId":228841,"corporation":false,"usgs":true,"family":"Dalby","given":"Harrison","email":"","middleInitial":"D","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793537,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222546,"text":"70222546 - 2020 - Geometric controls on megathrust earthquakes","interactions":[],"lastModifiedDate":"2021-08-04T11:48:36.887486","indexId":"70222546","displayToPublicDate":"2020-06-06T06:46:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Geometric controls on megathrust earthquakes","docAbstract":"

The role of subduction zone geometry in the nucleation and propagation of great-sized earthquake ruptures is an important topic for earthquake hazard, since knowing how big an earthquake can be on a given fault is fundamentally important. Past studies have shown subducting bathymetric features (e.g. ridges, fracture zones, seamount chains) may arrest a propagating rupture. Other studies have correlated the occurrence of great-sized earthquakes with flat megathrusts and homogenous stresses over large distances. It remains unclear, however, how subduction zone geometry and the potential for great-sized earthquakes (M 8+) are quantifiably linked—or indeed whether they can be. Here, we examine the potential role of subduction zone geometry in limiting earthquake rupture by mapping the planarity of seismogenic zones in the Slab2 subduction zone geometry database. We build from the observation that historical great-sized earthquakes have preferentially occurred where the surrounding megathrust is broadly planar, and we use this relationship to search for geometrically similar features elsewhere in subduction zones worldwide. Assuming geometry exerts a primary control on earthquake propagation and termination, we estimate the potential size distribution of large (M 7+) earthquakes and the maximum earthquake magnitude along global subduction faults based on geometrical features alone. Our results suggest that most subduction zones are capable of hosting great-sized earthquakes over much of their area. Many bathymetric features previously identified as barriers are indistinguishable from the surrounding megathrust from the perspective of slab curvature, meaning that they either do not play an important role in arresting earthquake rupture or that their influence on slab geometry at depth is not resolvable at the spatial scale of our subduction zone geometry models.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggaa254","usgsCitation":"Plescia, S.M., and Hayes, G., 2020, Geometric controls on megathrust earthquakes: Geophysical Journal International, v. 222, no. 2, p. 1270-1282, https://doi.org/10.1093/gji/ggaa254.","productDescription":"13 p.","startPage":"1270","endPage":"1282","ipdsId":"IP-118723","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Plescia, Steven M.","contributorId":261740,"corporation":false,"usgs":false,"family":"Plescia","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":52978,"text":"Department of Geological Sciences, University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":820518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820519,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218221,"text":"70218221 - 2020 - Survival estimates for the invasive American bullfrog","interactions":[],"lastModifiedDate":"2021-02-19T19:59:33.384981","indexId":"70218221","displayToPublicDate":"2020-06-05T13:54:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":751,"text":"Amphibia-Reptilia","active":true,"publicationSubtype":{"id":10}},"title":"Survival estimates for the invasive American bullfrog","docAbstract":"

American bullfrogs (Lithobates catesbeianus) are significant invaders in many places and can negatively impact native species. Despite their impact and wide distribution, little is known about their demography. We used five years of capture mark-recapture data to estimate annual apparent survival of post-metamorphic bullfrogs in a population on the Buenos Aires National Wildlife Refuge in their invaded range in Arizona, U.S.A. This population is a potential source of colonists into breeding ponds used by the federally threatened Chiricahua leopard frog (L. chiricahuensis). Results from robust-design Cormack-Jolly-Seber models suggested that survival of bullfrogs was influenced by sex and precipitation but not body condition. Survival was higher for females (mean = 0.37; 95% CI=0.15, 0.72) than males (mean = 0.17; 95% CI=0.02, 0.49), and declined with reduced annual precipitation (mean = −0.36, 95% CI = −2.09, 0.84). These survival estimates can be incorporated into models of population dynamics and to help predict spread of bullfrogs.

","language":"English","publisher":"Brill","doi":"10.1163/15685381-bja10016","usgsCitation":"Howell, P., Muths, E., Sigafus, B.H., and Hossack, B., 2020, Survival estimates for the invasive American bullfrog: Amphibia-Reptilia, v. 41, no. 4, p. 559-564, https://doi.org/10.1163/15685381-bja10016.","productDescription":"6 p.","startPage":"559","endPage":"564","ipdsId":"IP-112892","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Survival_estimates_for_the_invasive_American_bullfrog/12301367","text":"Publisher Index Page"},{"id":383391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Buenos Aires National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.61148071289062,\n 31.439208864183147\n ],\n [\n -111.3079833984375,\n 31.439208864183147\n ],\n [\n -111.3079833984375,\n 31.85773063158148\n ],\n [\n -111.61148071289062,\n 31.85773063158148\n ],\n [\n -111.61148071289062,\n 31.439208864183147\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":173495,"corporation":false,"usgs":false,"family":"Howell","given":"Paige E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":810470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":810472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210506,"text":"ds1126 - 2020 - Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California","interactions":[],"lastModifiedDate":"2020-06-08T11:26:04.891116","indexId":"ds1126","displayToPublicDate":"2020-06-05T10:02:01","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1126","displayTitle":"Rock Strength Properties of Granitic Rocks in Yosemite Valley, Yosemite National Park, California","title":"Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California","docAbstract":"

Yosemite National Park, located in the central part of California’s Sierra Nevada mountains, is a glacially carved landscape filled with iconic rock formations such as Cathedral Peak, El Capitan, and Half Dome. Igneous rocks, consisting primarily of variations of granite, granodiorite, and tonalite, make up the majority of the bedrock geology and their overall strength supports the spectacular cliffs and domes of Yosemite Valley that draw many visitors to the park. These same sheer cliffs also are the source areas for frequent rock falls, which, in addition to being the primary mechanism for cliff formation, can also pose a hazard to visitors and infrastructure located below.  To obtain rock strength parameters for use in assessing rock-fall potential in Yosemite National Park, we conducted a comprehensive rock mechanics laboratory testing program on a set of granitic rocks that form many of the cliffs in Yosemite Valley.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1126","collaboration":"Prepared in cooperation with the École Polytechnique Fédérale de Lausanne, National Park Service, and Université de Lausanne","usgsCitation":"Collins, B.D., Sandstrone, F., Gastaldo, L., Stock, G.M., and Jaboyedoff, M., 2020, Rock strength properties of granitic rocks in Yosemite Valley, Yosemite National Park, California: U.S. Geological Survey Data Series 1126, 158 p., https://doi.org/10.3133/ds1126.","productDescription":"vii, 158 p.","numberOfPages":"158","onlineOnly":"Y","ipdsId":"IP-113982","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":375394,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1126/ds1126.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":375393,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1126/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.90478515625,\n 37.74682893940135\n ],\n [\n -119.23873901367188,\n 37.74682893940135\n ],\n [\n -119.23873901367188,\n 38.01888587738773\n ],\n [\n -119.90478515625,\n 38.01888587738773\n ],\n [\n -119.90478515625,\n 37.74682893940135\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-06-05","noUsgsAuthors":false,"publicationDate":"2020-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":790451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandrone, Federica","contributorId":225125,"corporation":false,"usgs":false,"family":"Sandrone","given":"Federica","email":"","affiliations":[{"id":27718,"text":"Ecole Polytechnique Federale de Lausanne","active":true,"usgs":false}],"preferred":true,"id":790452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gastaldo, Laurent","contributorId":225126,"corporation":false,"usgs":false,"family":"Gastaldo","given":"Laurent","email":"","affiliations":[{"id":27718,"text":"Ecole Polytechnique Federale de Lausanne","active":true,"usgs":false}],"preferred":true,"id":790453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Greg M.","contributorId":88593,"corporation":false,"usgs":true,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaboyedoff, Michel","contributorId":205586,"corporation":false,"usgs":false,"family":"Jaboyedoff","given":"Michel","affiliations":[{"id":37117,"text":"University of Lausanne (Switzerland)","active":true,"usgs":false}],"preferred":false,"id":790455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210592,"text":"70210592 - 2020 - Subspecies differentiation in an enigmatic chaparral shrub species","interactions":[],"lastModifiedDate":"2020-07-09T15:08:27.096705","indexId":"70210592","displayToPublicDate":"2020-06-04T11:05:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Subspecies differentiation in an enigmatic chaparral shrub species","docAbstract":"

Premise

Delimiting biodiversity units is difficult in organisms in which differentiation is obscured by hybridization, plasticity, and other factors that blur phenotypic boundaries. Such work is more complicated when the focal units are subspecies, the definition of which has not been broadly explored in the era of modern genetic methods. Eastwood manzanita (Arctostaphylos glandulosa Eastw.) is a widely distributed and morphologically complex chaparral shrub species with much subspecific variation, which has proven challenging to categorize. Currently 10 subspecies are recognized, however, many of them are not geographically segregated, and morphological intermediates are common. Subspecies delimitation is of particular importance in this species because two of the subspecies are rare. The goal of this study was to apply an evolutionary definition of “subspecies” to characterize structure within Eastwood manzanita.

Methods

We used publicly available geospatial environmental data and reduced‐representation genome sequencing to characterize environmental and genetic differentiation among subspecies. In addition, we tested whether subspecies could be differentiated by environmentally associated genetic variation.

Results

Our analyses do not show genetic differentiation among subspecies of Eastwood manzanita, with the exception of one of the two rare subspecies. In addition, our environmental analyses did not show ecological differentiation, though limitations of the analysis prevent strong conclusions.

Conclusions

Genetic structure within Eastwood manzanita does not correspond to current subspecies circumscriptions, but rather reflects geographic distribution. Our study suggests that subspecies concepts need to be reconsidered in long‐lived plant species, especially in the age of next‐generation sequencing.

","language":"English","publisher":"Botanical Society of America","doi":"10.1002/ajb2.1496","usgsCitation":"Huang, Y., Morrison, G.R., Brelsford, A., Franklin, J., Jolles, D.D., Keeley, J., Parker, V., Saavedra, N., Sanders, A.C., Stoughton, T., Wahlert, G.A., and Litt, A., 2020, Subspecies differentiation in an enigmatic chaparral shrub species: American Journal of Botany, v. 107, no. 6, p. 923-940, https://doi.org/10.1002/ajb2.1496.","productDescription":"18 p.","startPage":"923","endPage":"940","ipdsId":"IP-115824","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.1496","text":"Publisher Index Page"},{"id":375519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Yi","contributorId":225188,"corporation":false,"usgs":false,"family":"Huang","given":"Yi","email":"","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Glen R.","contributorId":225189,"corporation":false,"usgs":false,"family":"Morrison","given":"Glen","email":"","middleInitial":"R.","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brelsford, Alan","contributorId":225190,"corporation":false,"usgs":false,"family":"Brelsford","given":"Alan","email":"","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franklin, Janet","contributorId":192373,"corporation":false,"usgs":false,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":790722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jolles, Diana D","contributorId":225191,"corporation":false,"usgs":false,"family":"Jolles","given":"Diana","email":"","middleInitial":"D","affiliations":[{"id":41069,"text":"Plymouth State University, Plymouth, NH 03264","active":true,"usgs":false}],"preferred":false,"id":790723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, V Thomas","contributorId":225192,"corporation":false,"usgs":false,"family":"Parker","given":"V Thomas","affiliations":[{"id":41070,"text":"San Francisco State University, San Francisco, CA 94132","active":true,"usgs":false}],"preferred":false,"id":790725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Saavedra, Natalie","contributorId":225193,"corporation":false,"usgs":false,"family":"Saavedra","given":"Natalie","email":"","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanders, Andrew C","contributorId":225194,"corporation":false,"usgs":false,"family":"Sanders","given":"Andrew","email":"","middleInitial":"C","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790727,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stoughton, Thomas","contributorId":225195,"corporation":false,"usgs":false,"family":"Stoughton","given":"Thomas","email":"","affiliations":[{"id":41069,"text":"Plymouth State University, Plymouth, NH 03264","active":true,"usgs":false}],"preferred":false,"id":790728,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wahlert, Gregory A.","contributorId":225196,"corporation":false,"usgs":false,"family":"Wahlert","given":"Gregory","email":"","middleInitial":"A.","affiliations":[{"id":41071,"text":"University of California, Santa Barbara, Santa Barbara, CA 93106","active":true,"usgs":false}],"preferred":false,"id":790729,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Litt, Amy","contributorId":225197,"corporation":false,"usgs":false,"family":"Litt","given":"Amy","email":"","affiliations":[{"id":41068,"text":"University of California, Riverside, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":790730,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70214586,"text":"70214586 - 2020 - Legacy and contaminants of emerging concern (CECs) in tree swallows along an agricultural to industrial gradient: Maumee River, OH","interactions":[],"lastModifiedDate":"2020-10-01T14:45:31.600093","indexId":"70214586","displayToPublicDate":"2020-06-04T08:38:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Legacy and contaminants of emerging concern (CECs) in tree swallows along an agricultural to industrial gradient: Maumee River, OH","docAbstract":"

Exposure to multiple classes of contaminants, both legacy and contaminants of emerging concern (CECs), were assessed in tree swallow (Tachycineta bicolor) tissue and diet samples from 6 sites along the Maumee River, Ohio, USA, to understand both exposure and possible effects of exposure to those CECs for which there are little avian data. The 6 sites represented a gradient from intensive agriculture upstream to highly urbanized and industrial landscapes downstream; 1 or 2 remote Wisconsin lakes were assessed for comparative purposes. Cytochrome P450 induction, DNA damage, and thyroid function were also assessed relative to contaminant exposure. Bioaccumulative CECs, such as polybrominated diphenyl ethers (PBDEs) and perfluorinated substances, did not follow any upstream to downstream gradient; but both had significantly greater concentrations along the Maumee River than at the remote lake sites. Greater exposure to PBDEs was apparent in swallows at or near wastewater‐treatment facilities than at other sites. Total polychlorinated biphenyl and total polycyclic aromatic hydrocarbon concentrations were greater in swallows at downstream locations compared to upstream sites and were associated with higher ethoxyresorufin‐O‐dealkylase activity. Few herbicides or nonorganochlorine insecticides were detected in swallow tissues or their food, except for atrazine and its metabolite desethylatrazine. Few pharmaceuticals and personal care products were detected except for DEET and iopamidol. Both were detected in most liver samples but not in eggs, as well as detected at the remote lake sites. This is one of the most comprehensive assessments to date of exposure and effects of a wide variety of CECs in birds. 

","language":"English","publisher":"Wiley","doi":"10.1002/etc.4792","usgsCitation":"Custer, C.M., Custer, T.W., Dummer, P.M., Schultz, S.L., Tseng, C.Y., Karouna-Renier, N., and Matson, C., 2020, Legacy and contaminants of emerging concern (CECs) in tree swallows along an agricultural to industrial gradient: Maumee River, OH: Environmental Toxicology and Chemistry, v. 39, no. 10, p. 1936-1952, https://doi.org/10.1002/etc.4792.","productDescription":"17 p.","startPage":"1936","endPage":"1952","ipdsId":"IP-117948","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436940,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94E110D","text":"USGS data release","linkHelpText":"Maumee River: Legacy and Contaminants of Emerging Concern"},{"id":378898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.990478515625,\n 41.41595533303718\n ],\n [\n -83.968505859375,\n 41.396384896536304\n ],\n [\n -83.88198852539062,\n 41.399475357337565\n ],\n [\n -83.6883544921875,\n 41.47668911274522\n ],\n [\n -83.55377197265625,\n 41.588742636696765\n ],\n [\n -83.39996337890625,\n 41.69547509615208\n ],\n [\n -83.5125732421875,\n 41.73237975329554\n ],\n [\n -83.70208740234375,\n 41.57025176609894\n ],\n [\n -83.93280029296875,\n 41.448902743309674\n ],\n [\n -83.990478515625,\n 41.41595533303718\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":800153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":216059,"corporation":false,"usgs":false,"family":"Custer","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":800154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":800155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tseng, Chi Yen","contributorId":241901,"corporation":false,"usgs":false,"family":"Tseng","given":"Chi","email":"","middleInitial":"Yen","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":800157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matson, Cole W.","contributorId":141222,"corporation":false,"usgs":false,"family":"Matson","given":"Cole W.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":800159,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211202,"text":"70211202 - 2020 - Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing","interactions":[],"lastModifiedDate":"2020-07-17T17:25:42.112539","indexId":"70211202","displayToPublicDate":"2020-06-03T12:18:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing","docAbstract":"

Landslides modify the natural landscape and cause fatalities and property damage worldwide. Quantifying landslide dynamics is challenging due to the stochastic nature of the environment. With its large area of ~1 km2 and perennial motions at ~10–20 mm per day, the Slumgullion landslide in Colorado, USA, represents an ideal natural laboratory to better understand landslide behavior. Here, we use hybrid remote sensing data and methods to recover the four-dimensional surface motions during 2011–2018. We refine the boundaries of an area of ~0.35 km2 below the crest of the prehistoric landslide. We construct a mechanical framework to quantify the rheology, subsurface channel geometry, mass flow rate, and spatiotemporally dependent pore-water pressure feedback through a joint analysis of displacement and hydrometeorological measurements from ground, air and space. Our study demonstrates the importance of remotely characterizing often inaccessible, dangerous slopes to better understand landslides and other quasi-static mass fluxes in natural and industrial environments, which will ultimately help reduce associated hazards.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-020-16617-7","usgsCitation":"Hu, X., Bürgmann, R., Schulz, W.H., and Fielding, E.J., 2020, Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing: Nature Communications, v. 11, 2792, 9 p., https://doi.org/10.1038/s41467-020-16617-7.","productDescription":"2792, 9 p.","ipdsId":"IP-117085","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":456500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-020-16617-7","text":"Publisher Index Page"},{"id":436941,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TCQDD5","text":"USGS data release","linkHelpText":"Data from in-situ displacement monitoring, Slumgullion landslide, Hinsdale County, Colorado"},{"id":376466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Slumgullion landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.30132102966309,\n 37.97600347500009\n ],\n [\n -107.22647666931152,\n 37.97600347500009\n ],\n [\n -107.22647666931152,\n 38.01212375706868\n ],\n [\n -107.30132102966309,\n 38.01212375706868\n ],\n [\n -107.30132102966309,\n 37.97600347500009\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hu, Xie","contributorId":177306,"corporation":false,"usgs":false,"family":"Hu","given":"Xie","email":"","affiliations":[],"preferred":false,"id":793138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bürgmann, Roland","contributorId":195087,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[],"preferred":false,"id":793139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":793140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielding, Eric J.","contributorId":218096,"corporation":false,"usgs":false,"family":"Fielding","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":39742,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.","active":true,"usgs":false}],"preferred":false,"id":793141,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210443,"text":"ofr20201055 - 2020 - Optimization of tidal marsh management at the Cape May and Supawna Meadows National Wildlife Refuges, New Jersey, through use of structured decision making","interactions":[],"lastModifiedDate":"2024-03-04T18:36:12.129906","indexId":"ofr20201055","displayToPublicDate":"2020-06-03T11:35:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1055","displayTitle":"Optimization of Tidal Marsh Management at the Cape May and Supawna Meadows National Wildlife Refuges, New Jersey, Through Use of Structured Decision Making","title":"Optimization of tidal marsh management at the Cape May and Supawna Meadows National Wildlife Refuges, New Jersey, through use of structured decision making","docAbstract":"

Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing tidal marsh management decisions at the Cape May and Supawna Meadows National Wildlife Refuges in New Jersey. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of 13 marsh management units within the refuges and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to approximately $785,000, but that further expenditures may yield diminishing return on investment. Management actions in optimal portfolios at total costs less than $785,000 included applying sediment to the marsh surface (thin layer deposition) in seven marsh management units, controlling the invasive reed Phragmites australis in four marsh management units, remediating hydrologic alterations in two marsh management units, and planting native vegetation in one marsh management unit. The management benefits were derived from expected improvements in the capacity for marsh elevation to keep pace with sea-level rise, increases in numbers of spiders (as an indicator of trophic health) and tidal marsh obligate birds, and increased cover of native vegetation. The prototype presented here provides a framework for decision making at the Cape May and Supawna Meadows National Wildlife Refuges that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuges.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201055","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Braudis, B., and Hanlon, H., 2020, Optimization of tidal marsh management at the Cape May and Supawna Meadows National Wildlife Refuges, New Jersey, through use of structured decision making: U.S. Geological Survey Open-File Report 2020–1055, 41 p., https://doi.org/10.3133/ofr20201055.","productDescription":"vii, 41 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101980","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":375304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1055/ofr20201055.pdf","text":"Report","size":"3.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1055"},{"id":375303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1055/coverthb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Cape May, Supawna Meadows National Wildlife Refuges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.377197265625,\n 39.690280594818034\n ],\n [\n -75.1025390625,\n 39.95185892663005\n ],\n [\n -75.41015624999999,\n 39.9602803542957\n ],\n [\n -75.618896484375,\n 39.58029027440865\n ],\n [\n -75.3662109375,\n 39.2407625100131\n ],\n [\n -75.0146484375,\n 38.788345355085625\n ],\n [\n -74.42138671875,\n 39.07037913108751\n ],\n [\n -74.410400390625,\n 39.605688178320804\n ],\n [\n -74.77294921875,\n 39.36827914916014\n ],\n [\n -75.16845703124999,\n 39.40224434029275\n ],\n [\n -75.377197265625,\n 39.690280594818034\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
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Laurel, MD 20708–4039

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","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-06-03","noUsgsAuthors":false,"publicationDate":"2020-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":790316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":790317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Braudis, Brian","contributorId":225101,"corporation":false,"usgs":false,"family":"Braudis","given":"Brian","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":790318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanlon, Heidi","contributorId":225102,"corporation":false,"usgs":false,"family":"Hanlon","given":"Heidi","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":790319,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70214527,"text":"70214527 - 2020 - Installation and performance of the Albuquerque Seismological Laboratory small-aperture posthole array","interactions":[],"lastModifiedDate":"2024-09-13T15:34:46.73726","indexId":"70214527","displayToPublicDate":"2020-06-03T09:50:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7123,"text":"Seismological Research Letteres","active":true,"publicationSubtype":{"id":10}},"title":"Installation and performance of the Albuquerque Seismological Laboratory small-aperture posthole array","docAbstract":"

The Global Seismographic Network (GSN) has been used extensively by seismologists to characterize large earthquakes and image deep earth structure. Although the network’s original design goals have been met, the seismological community has suggested that the incorporation of small-aperture seismic arrays at select sites may improve performance of the network and enable new observations. As a pilot study for this concept, we have created a 500 m aperture, nine-element broadband seismic array around the GSN station ANMO (Albuquerque, New Mexico) at the U.S. Geological Survey Albuquerque Seismological Laboratory (ASL). The array was formed by supplementing the secondary borehole seismometer (90 m depth) at ANMO with eight additional 2.6 m posthole sites. Each station’s seismometer was oriented using a fiber optic gyroscope to within 2.0° of north. Data quality, particularly on the vertical components, is excellent with median power levels closely tracking the secondary sensor at ANMO at frequencies lower than 1 Hz. Horizontal component data are more variable at low frequencies (< 0:02 Hz), with the type of installation and local geography appearing to strongly influence the amount of tilt-induced noise. Throughout the article, we pose several fundamental questions related to the variability and precision of seismic wavefield measurements that we seek to address with data from this array. In addition, we calculate the array response and show a few examples of using the array to obtain back azimuths of a local event and a continuous narrowband noise source. The apparent velocity of the event across the array is then used to infer the local P-wave velocity at the ASL. Near real-time data collected from the array along with collocated meteorological, magnetic, and infrasound data are freely available in near-real time from the Incorporated Research Institutions for Seismology Data Management Center.

","language":"English","publisher":"GeoScience World","doi":"10.1785/0220200080","usgsCitation":"Anthony, R.E., Ringler, A.T., Wilson, D.C., Maharrey, J., Gyure, G., Pepiot, A., Sandoval, L., Sandoval, S., Telesha, T., Vallo, G., and Voss, N.S., 2020, Installation and performance of the Albuquerque Seismological Laboratory small-aperture posthole array: Seismological Research Letteres, v. 91, no. 4, p. 2425-2437, https://doi.org/10.1785/0220200080.","productDescription":"13 p.","startPage":"2425","endPage":"2437","ipdsId":"IP-118019","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"U.S. Geological Survey Albuquerque Seismological Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.67193254845046,\n 35.102240946261034\n ],\n [\n -106.67193254845046,\n 34.94474713226582\n ],\n [\n -106.420193838331,\n 34.94474713226582\n ],\n [\n -106.420193838331,\n 35.102240946261034\n ],\n [\n -106.67193254845046,\n 35.102240946261034\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maharrey, J. Zebulon","contributorId":241647,"corporation":false,"usgs":false,"family":"Maharrey","given":"J. Zebulon","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":799820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gyure, Gary","contributorId":241648,"corporation":false,"usgs":false,"family":"Gyure","given":"Gary","email":"","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":799821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pepiot, Aaron","contributorId":241649,"corporation":false,"usgs":false,"family":"Pepiot","given":"Aaron","email":"","affiliations":[{"id":48384,"text":"USGS ASL","active":true,"usgs":false}],"preferred":false,"id":799822,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandoval, Leo D.","contributorId":241650,"corporation":false,"usgs":false,"family":"Sandoval","given":"Leo D.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":799823,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sandoval, Samuel","contributorId":241651,"corporation":false,"usgs":false,"family":"Sandoval","given":"Samuel","email":"","affiliations":[{"id":48386,"text":"KBR, Albuquerque Seismological Laboratory; Becton Dickerson","active":true,"usgs":false}],"preferred":false,"id":799824,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Telesha, Thomas","contributorId":241652,"corporation":false,"usgs":false,"family":"Telesha","given":"Thomas","email":"","affiliations":[{"id":48384,"text":"USGS ASL","active":true,"usgs":false}],"preferred":false,"id":799825,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vallo, Gilbert","contributorId":241653,"corporation":false,"usgs":false,"family":"Vallo","given":"Gilbert","email":"","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":799826,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Voss, Nicholas S.","contributorId":241654,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":799827,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70211689,"text":"70211689 - 2020 - Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers","interactions":[],"lastModifiedDate":"2020-08-07T14:15:21.151798","indexId":"70211689","displayToPublicDate":"2020-06-03T09:13:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers","docAbstract":"

Recursive movement patterns have been used to detect behavioral structure within individual movement trajectories in the context of foraging ecology, home-ranging behavior, and predator avoidance. Some animals exhibit movement recursions to locations that are tied to reproductive functions, including nests and dens; while existing literature recognizes that, no method is currently available to explicitly target different types of revisited locations. Moreover, the temporal persistence of recursive movements to a breeding location can carry information regarding the fate of breeding attempts, but it has never been used as a metric to quantify recursive movement patterns. Here, we introduce a method to locate breeding attempts and estimate their fate from GPStracking data of central place foragers. We tested the performance of our method in three bird species differing in breeding ecology (wood stork (Mycteria americana), lesser kestrel (Falco naumanni), Mediterranean gull (Ichthyaetus melanocephalus)) and implemented it in the R package ‘nestR’. Methods: We identified breeding sites based on the analysis of recursive movements within individual tracks. Using trajectories with known breeding attempts, we estimated a set of species-specific criteria for the identification of nest sites, which we further validated using non-reproductive individuals as controls. We then estimated individual nest survival as a binary measure of reproductive fate (success, corresponding to fledging of at least one chick, or failure) from nest-site revisitation histories during breeding attempts, using a Bayesian hierarchical modeling approach that accounted for temporally variable revisitation patterns, probability of visit detection, and missing data. Results: Across the three species, positive predictive value of the nest-site detection algorithm varied between 87 and 100% and sensitivity between 88 and 92%, and we correctly estimated the fate of 86–100% breeding attempts.

","language":"English","publisher":"Springer","doi":"10.1186/s40462-020-00201-1","usgsCitation":"Picardi, S., Smith, B., Boone, M.E., Frederick, P.C., Cecere, J.G., Rubolini, D., Serra, L., Pirrello, S., Borkhataria, R.R., and Basille, M., 2020, Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers: Movement Ecology, v. 8, 24, 14 p., https://doi.org/10.1186/s40462-020-00201-1.","productDescription":"24, 14 p.","ipdsId":"IP-105411","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00201-1","text":"Publisher Index Page"},{"id":377175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Picardi, Simona 0000-0002-2623-6623","orcid":"https://orcid.org/0000-0002-2623-6623","contributorId":237045,"corporation":false,"usgs":false,"family":"Picardi","given":"Simona","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":795078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":218457,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":795079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boone, Matthew E. 0000-0002-8070-4715","orcid":"https://orcid.org/0000-0002-8070-4715","contributorId":237046,"corporation":false,"usgs":false,"family":"Boone","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":795080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frederick, Peter C.","contributorId":215042,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":795081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cecere, Jacopo G. 0000-0002-4925-2730","orcid":"https://orcid.org/0000-0002-4925-2730","contributorId":237048,"corporation":false,"usgs":false,"family":"Cecere","given":"Jacopo","email":"","middleInitial":"G.","affiliations":[{"id":47591,"text":"Istituto Superiore per la Protezione e la Ricerca Ambientale","active":true,"usgs":false}],"preferred":false,"id":795082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubolini, Diego 0000-0003-2703-5783","orcid":"https://orcid.org/0000-0003-2703-5783","contributorId":237050,"corporation":false,"usgs":false,"family":"Rubolini","given":"Diego","email":"","affiliations":[{"id":47592,"text":"Università degli Studi di Milano","active":true,"usgs":false}],"preferred":false,"id":795083,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Serra, Lorenzo 0000-0002-8911-8050","orcid":"https://orcid.org/0000-0002-8911-8050","contributorId":237052,"corporation":false,"usgs":false,"family":"Serra","given":"Lorenzo","email":"","affiliations":[{"id":47591,"text":"Istituto Superiore per la Protezione e la Ricerca Ambientale","active":true,"usgs":false}],"preferred":false,"id":795084,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pirrello, Simone 0000-0002-9471-106X","orcid":"https://orcid.org/0000-0002-9471-106X","contributorId":237054,"corporation":false,"usgs":false,"family":"Pirrello","given":"Simone","email":"","affiliations":[{"id":47591,"text":"Istituto Superiore per la Protezione e la Ricerca Ambientale","active":true,"usgs":false}],"preferred":false,"id":795085,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borkhataria, Rena R.","contributorId":197425,"corporation":false,"usgs":false,"family":"Borkhataria","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":795086,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Basille, Mathieu","contributorId":175274,"corporation":false,"usgs":false,"family":"Basille","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":795087,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}