The distribution of the White-tailed Hawk (Geranoaetus albicaudatus) in the United States is restricted to the prairies and savannas of the Gulf Coastal Plain of Texas. Although listed as a state threatened species, it remains one of the least studied raptors in North America. It appears to reach high densities on some Texas barrier islands despite the island vegetation communities being structurally simple and providing few nesting substrates. We compared vegetation and landscape characteristics for sets of White-tailed Hawk nest sites and random sites on 3 Texas barrier islands (Matagorda, Mustang, and North Padre) representing a gradient of low to high human presence and impact. We constructed model sets consisting of vegetation and landscape features measured at a random subsample of nest sites and random sites, then assessed model sets with logistic regression. Our best constructed model correctly differentiated 83% of nest sites from random sites on Matagorda Island, 70% on Mustang Island, and 50% on North Padre Island. Overall, it appears that the structure of nest substrates was important to White-tailed Hawk nest-site selection: shrubs categorized as densely structured with or without thorns accounted for 78% of nest substrates compared to only 13% of paired, random potential substrates. The most frequently selected nest substrates overall were yaupon (Ilex vomitoria; 43%) and Macartney rose (Rosa bracteata; 24%). If White-tailed Hawks are to be conserved on the barrier islands, a balance will need to be found between continued anthropogenic development, maintenance of habitat patches, and availability of suitable nesting substrates.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/20-74","usgsCitation":"Haralson-Strobel, C., Boal, C.W., and Fraquhar, C.C., 2021, Nest site selection of White-tailed Hawks (Geranoaetus albicaudatus) on Texas barrier islands: Wilson Journal of Ornithology, v. 132, no. 3, p. 668-677, https://doi.org/10.1676/20-74.","productDescription":"10 p.","startPage":"668","endPage":"677","ipdsId":"IP-119949","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Matagorda, Mustang, and North Padre Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.83486938476562,\n 28.070768561865155\n ],\n [\n -96.39678955078125,\n 28.33943885710451\n ],\n [\n -96.38992309570311,\n 28.35394230526438\n ],\n [\n -96.43661499023436,\n 28.36361017019959\n ],\n [\n -96.5478515625,\n 28.320097845836454\n ],\n [\n -96.822509765625,\n 28.19308520918522\n ],\n [\n -96.83212280273438,\n 28.121649866341304\n ],\n [\n -96.85409545898438,\n 28.06228599981216\n ],\n [\n -96.83486938476562,\n 28.070768561865155\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.19535827636719,\n 27.612972297774377\n ],\n [\n -97.21424102783203,\n 27.61783967494728\n ],\n [\n -97.22145080566406,\n 27.635786258487663\n ],\n [\n -97.23346710205078,\n 27.633961316589154\n ],\n [\n -97.25303649902344,\n 27.59836886857363\n ],\n [\n -97.2952651977539,\n 27.50766239596439\n ],\n [\n -97.32410430908203,\n 27.455883557617597\n ],\n [\n -97.34092712402342,\n 27.409566585950014\n ],\n [\n -97.36942291259766,\n 27.350423290254746\n ],\n [\n -97.36186981201172,\n 27.309248227203696\n ],\n [\n -97.3828125,\n 27.286061466458474\n ],\n [\n -97.39311218261719,\n 27.23753666659069\n ],\n [\n -97.39585876464842,\n 27.07380043091176\n ],\n [\n -97.4102783203125,\n 26.929416426216296\n ],\n [\n -97.37869262695312,\n 26.630273470591902\n ],\n [\n -97.33749389648438,\n 26.561506704037942\n ],\n [\n -97.24960327148438,\n 26.571333057252076\n ],\n [\n -97.3663330078125,\n 26.968589727144387\n ],\n [\n -97.35260009765625,\n 27.205785724383325\n ],\n [\n -97.261962890625,\n 27.48756291405129\n ],\n [\n -97.19535827636719,\n 27.612972297774377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haralson-Strobel, C.L.","contributorId":280181,"corporation":false,"usgs":false,"family":"Haralson-Strobel","given":"C.L.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":836086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraquhar, C. C.","contributorId":280182,"corporation":false,"usgs":false,"family":"Fraquhar","given":"C.","email":"","middleInitial":"C.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":836088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222454,"text":"70222454 - 2021 - lsforce: A Python-based single-force seismic inversion framework for massive landslides","interactions":[],"lastModifiedDate":"2021-07-30T14:01:26.407941","indexId":"70222454","displayToPublicDate":"2021-04-28T09:00:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"lsforce: A Python-based single-force seismic inversion framework for massive landslides","docAbstract":"We present an open‐source Python package, lsforce, for performing single‐force source inversions of long‐period (tens to hundreds of seconds) seismic signals. Although the software is designed primarily for landslides, it can be used for any single‐force seismic source. The package allows users to produce estimates of the three‐component time series of forces exerted on the Earth by a landslide with postprocessing options to estimate the trajectory of its center of mass. Green’s functions for a user‐selected 1D Earth model are obtained automatically from the Incorporated Research Institutions for Seismology Synthetics Engine webservice or can be computed for custom 1D Earth models using Computer Programs in Seismology. lsforce implements the two most commonly used source parameterizations: a fully flexible, high‐resolution approach and a more stable but lower‐resolution method of overlapping triangle sources. Regularization options include a blended zeroth‐, first‐, and second‐order semiautomated Tikhonov regularization scheme, as well as additional optional constraints on start times, end times, and on the sum of forces. Uncertainty due to data selection can be assessed using either a leave‐one‐out approach or a modified jackknife technique that randomly excludes subsets of the data for multiple re‐inversions. Numerous built‐in plotting methods allow for easy quality control and assessment of results. In this article, we briefly outline the theory and methodology, describe our implementation, and demonstrate the usage of lsforce using the well‐studied 28 June 2016 Lamplugh rock avalanche in Alaska. Despite the rapidly increasing prevalence of landslide single‐force inversions in the landslide and seismology literature over the past decade, to our knowledge this is the first open‐source code for performing such inversions.
We study ground-motion response in urban Los Angeles during the two largest events (M7.1 and M6.4) of the 2019 Ridgecrest earthquake sequence using recordings from multiple regional seismic networks as well as a subset of 350 stations from the much denser Community Seismic Network. In the first part of our study, we examine the observed response spectral (pseudo) accelerations for a selection of periods of engineering significance (1, 3, 6, and 8 s). Significant ground-motion amplification is present and reproducible between the two events. For the longer periods, coherent spectral acceleration patterns are visible throughout the Los Angeles Basin, while for the shorter periods, the motions are less spatially coherent. However, coherence is still observable at smaller length scales due to the high spatial density of the measurements. Examining possible correlations of the computed response spectral accelerations with basement depth and Vs30, we find the correlations to be stronger for the longer periods. In the second part of the study, we test the performance of two state-of-the-art methods for estimating ground motions for the largest event of the Ridgecrest earthquake sequence, namely three-dimensional (3D) finite-difference simulations and ground motion prediction equations. For the simulations, we are interested in the performance of the two Southern California Earthquake Center 3D community velocity models (CVM-S and CVM-H). For the ground motion prediction equations, we consider four of the 2014 Next Generation Attenuation-West2 Project equations. For some cases, the methods match the observations reasonably well; however, neither approach is able to reproduce the specific locations of the maximum response spectral accelerations or match the details of the observed amplification patterns.
As a prolific invasive species, Blue Catfish Ictalurus furcatus threaten native organisms in numerous estuarine and tidal freshwaters along the Atlantic coast of the United States. However, no published estimates of consumption rates are available for Blue Catfish in the scientific literature. This information is critical for development of bioenergetics models or estimation of population‐level impacts on native species. Using a combination of field and laboratory studies, we provide the first estimates of daily ration, maximum daily ration, and consumption to biomass ratios for Blue Catfish populations. Ad libitum feeding trials conducted in our laboratory reveal that maximum daily ration in Blue Catfish varies by prey type, temperature, and fish size, with maximal feeding occurring in medium‐sized Blue Catfish (500–600 mm total length) and at temperatures ≥15°C. Furthermore, estimates of daily ration were higher for fish prey (Gizzard Shad Dorosoma cepedianum) than for crustacean prey (blue crab Callinectes sapidus). Diel feeding chronologies based on field‐collected diet samples from 1,226 Blue Catfish demonstrated river‐specific variability in daily ration and maximum daily ration. Blue Catfish daily ration ranged between 2.27% and 5.22% bodyweight per 24 h, while maximum daily ration ranges between 8.56% and 9.37% bodyweight per 24 h. Estimates of consumption to biomass ratios varied by river and Blue Catfish size groupings but range between 2.42 and 3.39, which is similar to other benthic omnivores. This research will inform the assessment of predatory impacts of invasive Blue Catfish in the Chesapeake Bay and beyond as it will enable researchers to estimate predatory impacts through the coupling of population models, food habit information, and consumption rate information (current study).
Large-scale declines of grassland ecosystems in the conterminous United States since European settlement have led to substantial loss and fragmentation of lesser prairie-chicken (Tympanuchus pallidicinctus) habitat and decreased their occupied range and population numbers by ∼85%. Breeding season space use is an important component of lesser prairie-chicken conservation, because it could affect both local carrying capacity and population dynamics. Previous estimates of breeding season space use are largely limited to one of the four currently occupied ecoregions, but potential extrinsic drivers of breeding space use, such as landscape fragmentation, vegetation structure and composition, and density of anthropogenic structures, can show large spatial variation. Moreover, habitat needs vary greatly among the lekking/prelaying, nesting, brood-rearing, and postbreeding stages of the breeding season, but space use by female lesser prairie-chickens during these stages remain relatively unclear. We tested whether home range area and daily displacement (the net distance between the first and last location of each day) of female lesser prairie-chickens varied among ecoregions and breeding stages at four study sites in Kansas and Colorado, U.S.A., representing three of the four currently occupied ecoregions. We equipped females with very-high-frequency (VHF) or Global Positioning System (GPS) transmitters, and estimated home range area with kernel density estimators or biased random bridge models, respectively. Across all ecoregions, breeding season home range area averaged 190.4 ha (±19.1 ha se) for birds with VHF and 283.6 ha (±23.1 ha) for birds with GPS transmitters, whereas daily displacement averaged 374.8 m (±14.3 m). Average home range area and daily displacement of bird with GPS transmitters were greater in the Short-Grass Prairie/ Conservation Reserve Program Mosaic and Sand Sagebrush Prairie Ecoregions compared to sites in the Mixed-Grass Prairie Ecoregion. Home range area and daily displacement were greatest during lekking/prelaying and smallest during the brood-rearing stage, when female movements were restricted by mobility of chicks. Ecoregion- and breeding stage-specific estimates of space use by lesser prairie-chickens will help managers determine the spatial configuration of breeding stage-specific habitat on the landscape. Furthermore, ecoregion- and breeding stage-specific estimates are crucial when estimating the amount of breeding habitat needed for lesser prairie-chicken populations to persist.
How aquatic insects cope with cold temperatures is poorly understood. This is particularly true for high-elevation species, which often experience a seasonal risk of freezing. In the Rocky Mountains, nemourid stoneflies (Plecoptera: Nemouridae) are a major component of mountain stream biodiversity and are typically found in streams fed by glaciers and snowfields, which are rapidly receding due to climate change. Predicting the effects of climate change on mountain stoneflies is difficult because their thermal physiology is largely unknown. We investigated cold tolerance of several alpine stoneflies (Lednia tumana, Lednia tetonica, and Zapada spp.) from the Rocky Mountains, USA. We measured the supercooling point (SCP) and tolerance to ice enclosure of late-instar nymphs collected from a range of thermal regimes. SCPs varied among species and populations, with the lowest SCP measured for nymphs from an alpine pond, which was much more likely to freeze solid in winter than flowing streams. We also show that L. tumana cannot survive being enclosed in ice, even for short periods of time (<3 h) at relatively mild temperatures (–0.5 °C). Our results indicate that high-elevation stoneflies at greater risk of freezing may have correspondingly lower SCPs, and despite their common association with glacial meltwater, these stoneflies appear to be living near their lower thermal limits.
","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.081.0105","usgsCitation":"Hotaling, S., Shah, A.A., Dillon, M.E., Giersch, J.J., Tronstad, L., Finn, D.S., Woods, H.A., and Kelley, J.L., 2021, Cold tolerance of mountain stoneflies (Plecoptera: Nemouridae) from the high Rocky Mountains: Western North American Naturalist, v. 81, no. 1, p. 54-62, https://doi.org/10.3398/064.081.0105.","productDescription":"9 p.","startPage":"54","endPage":"62","ipdsId":"IP-105123","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452551,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2020.06.25.171934","text":"External Repository"},{"id":423231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Glacier National Park, Grand Teton National Park, Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.48604043463224,\n 49.00401777481389\n ],\n [\n -114.37834945941813,\n 48.802377178956334\n ],\n [\n -114.15317742033389,\n 48.65169057888514\n ],\n [\n -114.03243299357854,\n 48.59776448736707\n ],\n [\n -113.97695582452867,\n 48.51568645697114\n ],\n [\n -113.87252821219978,\n 48.48108744314786\n ],\n [\n -113.80073422872344,\n 48.42264805470006\n ],\n [\n -113.72894024524751,\n 48.4139846470413\n ],\n [\n -113.56577210098355,\n 48.233885698574284\n ],\n [\n -113.37323369075185,\n 48.29905509280405\n ],\n [\n -113.1709051918645,\n 48.45079393378256\n ],\n [\n -113.01752713625619,\n 48.55026185843073\n ],\n [\n -113.22964572379959,\n 48.85178995561142\n ],\n [\n -113.38628714229311,\n 48.99545389467846\n ],\n [\n -114.48604043463224,\n 49.00401777481389\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.05001607315465,\n 44.340382120906185\n ],\n [\n -111.04675271026905,\n 43.15227229932731\n ],\n [\n -110.77589359079097,\n 43.223653039732824\n ],\n [\n -110.71388969597068,\n 43.34243542195068\n ],\n [\n -110.79873713098787,\n 43.45861712119486\n ],\n [\n -110.70409960731465,\n 43.692671672532896\n ],\n [\n -110.4821909311156,\n 43.85290930357107\n ],\n [\n -110.47566420534517,\n 43.91171225260109\n ],\n [\n -110.61925217229744,\n 44.022104661192316\n ],\n [\n -110.83789748561126,\n 44.3170378938855\n ],\n [\n -111.05001607315465,\n 44.340382120906185\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":889547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Alisha A. 0000-0002-8454-7905","orcid":"https://orcid.org/0000-0002-8454-7905","contributorId":271069,"corporation":false,"usgs":false,"family":"Shah","given":"Alisha","email":"","middleInitial":"A.","affiliations":[{"id":56265,"text":"Division of Biological Sciences, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":889548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dillon, Michael E.","contributorId":131179,"corporation":false,"usgs":false,"family":"Dillon","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":889549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giersch, J. 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Arthur","contributorId":287211,"corporation":false,"usgs":false,"family":"Woods","given":"H.","email":"","middleInitial":"Arthur","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelley, Joanna L. 0000-0002-7731-605X","orcid":"https://orcid.org/0000-0002-7731-605X","contributorId":332142,"corporation":false,"usgs":false,"family":"Kelley","given":"Joanna","email":"","middleInitial":"L.","affiliations":[{"id":79393,"text":"School of Biological Sciences, Washington State University, Pullman, WA","active":true,"usgs":false}],"preferred":false,"id":889554,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214035,"text":"cir1471 - 2021 - U.S. Geological Survey wildland fire science strategic plan, 2021–26","interactions":[],"lastModifiedDate":"2022-10-13T14:49:22.494992","indexId":"cir1471","displayToPublicDate":"2021-04-28T03:45:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1471","displayTitle":"U.S. Geological Survey Wildland Fire Science Strategic Plan, 2021–26","title":"U.S. Geological Survey wildland fire science strategic plan, 2021–26","docAbstract":"The U.S. Geological Survey (USGS) Wildland Fire Science Strategic Plan defines critical, core fire science capabilities for understanding fire-related and fire-responsive earth system processes and patterns, and informing management decision making. Developed by USGS fire scientists and executive leadership, and informed by conversations with external stakeholders, the Strategic Plan is aligned with the needs of the fire science stakeholder community–fire, land, natural resource, and emergency managers from Federal, State, Tribal, and community organizations, as well as members of the scientific community. The Strategic Plan is composed of four integrated priorities, each with associated goals and specific strategies for accomplishing the goals: Priority 1: Produce state-of-the-art, actionable fire science; Priority 2: Engage stakeholders in science production and science delivery; Priority 3: Effectively communicate USGS fire science capacity, products, and information to a broad audience; and Priority 4: Enhance USGS organizational structure and advance support for fire science. 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","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1471","usgsCitation":"Steblein, P.F., Loehman, R.A., Miller, M.P., Holomuzki, J.R., Soileau, S.C., Brooks, M.L., Drane-Maury, M., Hamilton, H.M., Kean, J.W., Keeley, J.E., Mason, R.R., Jr., McKerrow, A., Meldrum, J.R., Molder, E.B., Murphy, S.F., Peterson, B., Plumlee, G.S., Shinneman, D.J., van Mantgem, P.J., and York, A., 2021, U.S. Geological Survey wildland fire science strategic plan, 2021–26: U.S. Geological Survey Circular 1471, 30 p., https://doi.org/10.3133/cir1471.","productDescription":"vi, 30 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-119099","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science 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12201 Sunrise Valley Drive
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Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the river and tributaries of the Clark Fork. Water samples were collected periodically at 20 sites from October 2018 through September 2019. Bed-sediment and tissue samples were collected once at 13 sites during July 2019.
Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace-element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2019.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211027","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.D., Hornberger, M.I., Hepler, E.J., Cleasby, T.E., and Heinert, T.L., 2021, Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2018–September 2019: U.S. Geological Survey Open-File Report 2021–1027, 16 p., https://doi.org/10.3133/ofr20211027.","productDescription":"Report: vi, 16 p.; Data Release; Dataset","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-122934","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":385286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1027/coverthb.jpg"},{"id":385287,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1027/ofr20211027.pdf","text":"Report","size":"1.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 1027–1027"},{"id":385288,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GKHL8W","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2018–September 2019"},{"id":385289,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.13421630859374,\n 47.10565336099383\n ],\n [\n -114.39788818359375,\n 47.025206001585396\n ],\n [\n -114.25506591796875,\n 46.613601326659726\n ],\n [\n -114.00238037109375,\n 46.58718152732907\n ],\n [\n -113.15917968749999,\n 46.15890744507131\n ],\n [\n -112.69775390625,\n 45.84793427349226\n ],\n [\n -112.00836181640625,\n 46.15319980124842\n ],\n [\n -111.88201904296875,\n 46.428392162921234\n ],\n [\n -113.00262451171875,\n 46.848921470800455\n ],\n [\n -113.631591796875,\n 47.13368783277605\n ],\n [\n -114.13421630859374,\n 47.10565336099383\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
The structural complexity of active faults and the stress release history along the fault system may exert control on the locus and extent of individual earthquake ruptures. Fault bends, in particular, are often invoked as a possible mechanism for terminating earthquake ruptures. However, there are few records available to examine how these factors may influence the along‐fault recurrence of earthquakes. We present a new paleoearthquake chronology for the southern San Andreas fault at Elizabeth Lake and integrate this record with existing paleoearthquake records to examine how the timing and frequency of earthquakes vary through a major restraining bend. This restraining bend features a mature, throughgoing right‐lateral strike‐slip fault, two major fault intersections, proposed subsurface fault dip changes, and a
The Mars Orbiter for Resources, Ices, and Environments (MORIE) was selected as one of NASA's 2019 Planetary Mission Concept Studies. The mission builds upon recent discoveries and current knowledge gaps linked to two primary scientific questions: (1) when did elements of the cryosphere form and how are ice deposits linked to current, recent, and ancient climate, and (2) how does the crust record the evolution of surface environments and their transition through time? Addressing these questions has emerged in numerous recent reports as a high priority in investigating the evolution of Mars as a habitable world. A subsidiary goal of the mission concept is to provide information relevant to the eventual human exploration of Mars, specifically helping to locate and quantify near-surface water ice and hydrated mineral resources. The proposed instrument suite includes polarimetric synthetic aperture radar imaging, radar sounding, high-resolution visible and infrared imaging, both short-wave and thermal-infrared spectroscopy, and multichannel wide-angle imaging. MORIE would provide novel measurements of Mars expected to lead to significant new discoveries by the first radar imaging from orbit, radar sounding directly over the poles, and mineral mapping at spatial scales that will unravel geologic sequence stratigraphy through time. The final report of the mission concept provides details on the spacecraft, orbital design, technological maturity, results from systems-level integration studies, and costs. This article is intended to expand upon the science motivation for the mission, the measurement goals and objectives, and the instrument trade space that was examined in detail during the concept study.
","language":"English","publisher":"American Astronomical Society","doi":"10.3847/PSJ/abe4db","usgsCitation":"Calvin, W.M., Putzig, N.E., Dundas, C.M., Bramson, A.M., Horgan, B.H., Seelos, K.D., Sizemore, H.G., Ehlmann, B.L., Morgan, G.A., Holt, J.W., Murchie, S.L., and Patterson, G.W., 2021, The Mars Orbiter for Resources, Ices, and Environments (MORIE) science goals and instrument trades in radar, imaging, and spectroscopy: The Planetary Science Journal, v. 2, no. 76, 13 p., https://doi.org/10.3847/PSJ/abe4db.","productDescription":"13 p.","ipdsId":"IP-124773","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/abe4db","text":"Publisher Index Page"},{"id":385894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"2","issue":"76","noUsgsAuthors":false,"publicationDate":"2021-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Calvin, Wendy M. 0000-0002-6097-9586","orcid":"https://orcid.org/0000-0002-6097-9586","contributorId":189159,"corporation":false,"usgs":false,"family":"Calvin","given":"Wendy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":816318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putzig, Nathaniel E. 0000-0003-4485-6321","orcid":"https://orcid.org/0000-0003-4485-6321","contributorId":208684,"corporation":false,"usgs":true,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":816319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":816320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bramson, Ali M 0000-0003-4903-0916","orcid":"https://orcid.org/0000-0003-4903-0916","contributorId":201618,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","middleInitial":"M","affiliations":[{"id":27205,"text":"U. 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N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":816322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seelos, Kim D 0000-0001-7236-0580","orcid":"https://orcid.org/0000-0001-7236-0580","contributorId":258277,"corporation":false,"usgs":false,"family":"Seelos","given":"Kim","email":"","middleInitial":"D","affiliations":[{"id":36691,"text":"JHU APL","active":true,"usgs":false}],"preferred":false,"id":816323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":816324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":816325,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":816326,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holt, John W 0000-0003-1314-7848","orcid":"https://orcid.org/0000-0003-1314-7848","contributorId":237030,"corporation":false,"usgs":false,"family":"Holt","given":"John","email":"","middleInitial":"W","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":816327,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murchie, Scott L. 0000-0002-1616-8751","orcid":"https://orcid.org/0000-0002-1616-8751","contributorId":189161,"corporation":false,"usgs":false,"family":"Murchie","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":816328,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Patterson, G Wesley 0000-0003-4787-3899","orcid":"https://orcid.org/0000-0003-4787-3899","contributorId":239986,"corporation":false,"usgs":false,"family":"Patterson","given":"G","email":"","middleInitial":"Wesley","affiliations":[{"id":36691,"text":"JHU APL","active":true,"usgs":false}],"preferred":false,"id":816329,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70220215,"text":"70220215 - 2021 - Arctic insect emergence timing and composition differs across thaw ponds of varying morphology","interactions":[],"lastModifiedDate":"2021-04-28T13:21:06.753259","indexId":"70220215","displayToPublicDate":"2021-04-27T08:17:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Arctic insect emergence timing and composition differs across thaw ponds of varying morphology","docAbstract":"Freshwater ponds provide habitats for aquatic insects that emerge and subsidize consumers in terrestrial ecosystems. In the Arctic, insects provide an important seasonal source of energy to birds that breed and rear young on the tundra. The abundance and timing of insect emergence from arctic thaw ponds is poorly understood, but understanding these fluxes is important, given the role of insects in food webs and current rates of environmental change at high latitudes. We aimed to evaluate emerging insect communities from thaw ponds with different morphologies, identify environmental covariates influencing insect composition, and describe temporal changes in insect abundance. We collected environmental information and insects that emerged over two growing seasons and examined the phenology and taxonomic composition of insects arising from different pond classes: low centered polygon, small coalescent, large coalescent, and trough ponds. Our findings indicated no differences in the timing of total emergence across ponds of varying morphology. Community dissimilarity was primarily associated with center or margin habitat and variables that differed strongly among pond classes. These insects, which provide important provisions for various species of birds, are likely to experience changes in emergence phenology and composition due to ongoing, rapid warming in the region.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2021.1902249","usgsCitation":"Laske, S.M., Gurney, K.E., Koch, J.C., Schmutz, J.A., and Wipfli, M.S., 2021, Arctic insect emergence timing and composition differs across thaw ponds of varying morphology: Arctic, Antarctic, and Alpine Research, v. 53, no. 1, p. 110-126, https://doi.org/10.1080/15230430.2021.1902249.","productDescription":"17 p.","startPage":"110","endPage":"126","ipdsId":"IP-121723","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":452558,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2021.1902249","text":"Publisher Index Page"},{"id":436391,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FG9DEO","text":"USGS data release","linkHelpText":"Insect Emergence from Arctic Coastal Plain Thaw Ponds, 2012-2013"},{"id":385352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144.0087890625,\n 70.01307827710367\n ],\n [\n -153.1494140625,\n 71.00265967789278\n ],\n [\n -156.77490234375,\n 71.28669893545877\n ],\n [\n -163.14697265625,\n 69.90766734108514\n ],\n [\n -163.49853515625,\n 68.73638345287264\n ],\n [\n -155.126953125,\n 68.37490016066832\n ],\n [\n -149.17236328125,\n 68.80004113882613\n ],\n [\n -143.98681640625,\n 69.9830151028733\n ],\n [\n -144.0087890625,\n 70.01307827710367\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":814832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurney, Kirsty E. B.","contributorId":257652,"corporation":false,"usgs":false,"family":"Gurney","given":"Kirsty","email":"","middleInitial":"E. B.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":814833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":814834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":814835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":814836,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223177,"text":"70223177 - 2021 - Measurement of suction pressure dynamics of sea lampreys, Petromyzon marinus","interactions":[],"lastModifiedDate":"2021-08-17T13:05:44.136373","indexId":"70223177","displayToPublicDate":"2021-04-27T08:04:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of suction pressure dynamics of sea lampreys, Petromyzon marinus","docAbstract":"Species-specific monitoring activities represent fundamental tools for natural resource management and conservation but require techniques that target species-specific traits or markers. Sea lamprey, a destructive invasive species in the Laurentian Great Lakes and conservation target in North America and Europe, is among very few fishes that possess and use oral suction, yet suction has not been exploited for sea lamprey control or conservation. Knowledge of specific characteristics of sea lamprey suction (e.g., amplitude, duration, and pattern of suction events; hereafter ‘suction dynamics’) may be useful to develop devices that detect, record, and respond to the presence of sea lamprey at a given place and time. Previous observations were limited to adult sea lampreys in static water. In this study, pressure sensing panels were constructed and used to measure oral suction pressures and describe suction dynamics of juvenile and adult sea lampreys at multiple locations within the mouth and in static and flowing water. Suction dynamics were largely consistent with previous descriptions, but more variation was observed. For adult sea lampreys, suction pressures ranged from –0.6 kPa to –26 kPa with 20 s to 200 s between pumps at rest, and increased to –8 kPa to –70 kPa when lampreys were manually disengaged. An array of sensors indicated that suction pressure distribution was largely uniform across the mouths of both juvenile and adult lampreys; but some apparent variation was attributed to obstruction of sensing portal holes by teeth. Suction pressure did not differ between static and flowing water when water velocity was lower than 0.45 m/s. Such information may inform design of new systems to monitor behavior, distribution and abundance of lampreys.
The larval stage of invasive Dreissena spp. mussels (i.e., veligers) are understudied despite their seasonal numerical dominance among plankton. We report the spring and summer veliger densities and size structure across the main basin, North Channel, and Georgian Bay of Lake Huron, and seek to explain spatiotemporal variation. Monthly sampling was conducted at 9 transects and up to 3 sites per transect from spring through summer 2017. Veliger densities peaked in June and July, and we found comparable densities and biomasses of veligers between basins, despite differences in density of juvenile and adult mussels across these regions. Using a generalized additive model to explain variations in veliger density, we found that temperature, chlorophyll a, and nitrates/nitrites were most important. We generated an index of veliger attrition based on size distributions that revealed a higher rate of attrition in the North Channel than the rest of the lake. A logistic model indicated a threshold calcium concentration of around 22 mg/L was necessary for veligers to survive to larger sizes and recruit to their juvenile and benthic adult life stages. Improved understanding of factors that regulate the production and survival of Dreissena veligers could improve the ability of managers to assess future invasion threats as well as explore potential control options.
A new history of great earthquakes (and their tsunamis) for the central and southern Cascadia subduction zone shows more frequent (17 in the past 6700 yr) megathrust ruptures than previous coastal chronologies. The history is based on along-strike correlations of Bayesian age models derived from evaluation of 554 radiocarbon ages that date earthquake evidence at 14 coastal sites. We reconstruct a history that accounts for all dated stratigraphic evidence with the fewest possible ruptures by evaluating the sequence of age models for earthquake or tsunami contacts at each site, comparing the degree of temporal overlap of correlated site age models, considering evidence for closely spaced earthquakes at four sites, and hypothesizing only maximum-length megathrust ruptures. For the past 6700 yr, recurrence for all earthquakes is 370–420 yr. But correlations suggest that ruptures at ∼1.5 ka and ∼1.1 ka were of limited extent (<400 km). If so, post-3-ka recurrence for ruptures extending throughout central and southern Cascadia is 510–540 yr. But the range in the times between earthquakes is large: two instances may be ∼50 yr, whereas the longest are ∼550 and ∼850 yr. The closely spaced ruptures about 1.6 ka may illustrate a pattern common at subduction zones of a long gap ending with a great earthquake rupturing much of the subduction zone, shortly followed by a rupture of more limited extent. The ruptures of limited extent support the continued inclusion of magnitude-8 earthquakes, with longer ruptures near magnitude 9, in assessments of seismic hazard in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.106922","usgsCitation":"Nelson, A., DuRoss, C., Witter, R., Kelsey, H., Engelhart, S.E., Mahan, S.A., Gray, H., Hawkes, A.D., Horton, B.P., and Padgett, J., 2021, A maximum rupture model for the central and southern Cascadia subduction zone—reassessing ages for coastal evidence of megathrust earthquakes and tsunamis: Quaternary Science Reviews, v. 261, 106922, 19 p., https://doi.org/10.1016/j.quascirev.2021.106922.","productDescription":"106922, 19 p.","ipdsId":"IP-127841","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":452566,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2021.106922","text":"Publisher Index Page"},{"id":436395,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWIDOW","text":"USGS data release","linkHelpText":"DATA RELEASE Part 2: Optical luminescence dating of Bradley Lake, Oregon, tsunami deposits, analytical data for: A maximum rupture model for the central and southern Cascadia subduction zone-reassessing ages for coastal evidence of megathrust earthquakes and tsunamis"},{"id":436394,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S75DTS","text":"USGS data release","linkHelpText":"Radiocarbon ages, age-model code, and other supplemental data for Nelson et al. (2021), A maximum rupture model for the central and southern Cascadia subduction zone - assessing ages for coastal evidence of megathrust earthquakes and tsunamis"},{"id":385446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"British Columbia, Washington, Oregon, California","otherGeospatial":"Pacific Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.529296875,\n 51.944264879028765\n ],\n [\n -129.462890625,\n 50.736455137010665\n ],\n [\n -124.4091796875,\n 42.5530802889558\n ],\n [\n -124.27734374999999,\n 40.27952566881291\n ],\n [\n -122.25585937500001,\n 40.88029480552824\n ],\n [\n -122.29980468749999,\n 45.27488643704891\n ],\n [\n -122.03613281249999,\n 49.210420445650286\n ],\n [\n -127.529296875,\n 51.944264879028765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"261","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nelson, Alan 0000-0001-7117-7098","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":216700,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":815110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":815111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":815112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelsey, Harvey M.","contributorId":206893,"corporation":false,"usgs":false,"family":"Kelsey","given":"Harvey M.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":815113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":815114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":815115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":815116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkes, Andrea D.","contributorId":192811,"corporation":false,"usgs":false,"family":"Hawkes","given":"Andrea","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":815117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":815118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Padgett, Jason S.","contributorId":257829,"corporation":false,"usgs":false,"family":"Padgett","given":"Jason S.","affiliations":[{"id":52130,"text":"Department of Geology, Humboldt State University, Arcata, California 95524, USA; Department of Geography, Durham University, Durham, DH1 3LE, UK","active":true,"usgs":false}],"preferred":false,"id":815119,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70220195,"text":"sim3471 - 2021 - Bathymetric survey and sedimentation analysis of Lago Patillas, Puerto Rico, August 2019","interactions":[],"lastModifiedDate":"2021-04-27T12:53:23.444411","indexId":"sim3471","displayToPublicDate":"2021-04-27T06:37:47","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3471","displayTitle":"Bathymetric Survey and Sedimentation Analysis of Lago Patillas, Puerto Rico, August 2019","title":"Bathymetric survey and sedimentation analysis of Lago Patillas, Puerto Rico, August 2019","docAbstract":"In August 2019, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Patillas to update stage-volume data in order to determine the sediment infill rates and to generate a bathymetry map. Water-depth data were collected along predefined lines using single-beam depth sounder and Differential Global Positioning System technology. The study also included delineating a new reservoir shoreline based on 2016–17 light detection and ranging data and the establishment of a new official vertical datum at the reservoir referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02). Survey results indicated that the storage capacity was 12.96 million cubic meters in 2019 at an elevation of 67.55 meters above PRVD02. The mean annual loss of capacity from 1961 to 2019 is 0.08 million cubic meters per year. The point of zero remaining storage of Lago Patillas is projected to be 161 years, ending in 2180.
The new vertical datum referenced to PRVD02 was established at Lago Patillas by conducting a Global Navigation Satellite System static observation in March 2019, which indicated that the spillway elevation is 67.55 meters. The new spillway elevation datum supersedes the previous datum (mean sea level) used on the island of Puerto Rico.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3471","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, J.M., 2021, Bathymetric survey and sedimentation analysis of Lago Patillas, Puerto Rico, August 2019: U.S. Geological Survey Scientific Investigations Map 3471, 1 sheet, https://doi.org/10.3133/sim3471.","productDescription":"1 Sheet: 45.00 x 3.6.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-122145","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":385306,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3471/sim3471.pdf","text":"Sheet","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3471"},{"id":385307,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y2SCY1","text":"USGS data release","description":"USGS data release","linkHelpText":"Spatial and bathymetric data for Lago Patillas, Puerto Rico, August 2019"},{"id":385305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3471/coverthb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, Lago Patillas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.0446548461914,\n 18.005998640427865\n ],\n [\n -65.9974479675293,\n 18.005998640427865\n ],\n [\n -65.9974479675293,\n 18.039625778656163\n ],\n [\n -66.0446548461914,\n 18.039625778656163\n ],\n [\n -66.0446548461914,\n 18.005998640427865\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Storminess and sea-level can both have a significant impact on landforms in cyclone-prone coastal regions, although much of our understanding comes from short-timescale modern observations. This study aims to understand the variability of sediment transport and deposition in the Choctawhatchee Bay/Santa Rosa Island in the northern Gulf of Mexico, establishing the dominant sediment transport processes and morphological response of the barrier system to long-term variations in storminess and rising sea-levels.
Here, we study the spatial and temporal changes in physicochemical properties of the sedimentary record of Choctawhatchee Bay to examine the character and fidelity of records of storm impacts spanning the Holocene. Proxies for marine and terrestrial conditions in the cores situated closer to the present barrier (proximal) show that sedimentation in coastal areas and marine influence of the bay during the last ~8000 yrs. were mainly determined by barrier response to the Holocene transgression and changes in storminess. In contrast, sedimentation close to the landward shore was governed by terrigenous input. The correlation of grain size and terrigenous proxies with regional hurricane records indicates that hinterland erosion by the rainfall during hurricane events is likely the dominant terrigenous sediment transport mechanism in areas close to the landward shore of the bay. These results suggest that sediment archives in large coastal deposition environments are equally suitable for sea level and cyclone modulated coastal morphological studies and paleo tropical cyclone studies, depending on the location, selected with an understanding of sedimentation processes in the vicinity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2021.106478","usgsCitation":"Ranasinghe, P.N., Donnelly, J.P., Evans, R., Rodysill, J.R., Nanayakkara, N.U., van Hengstum, P.J., Hawkes, A.D., Sullivan, R., and Toomey, M., 2021, Complex sedimentary processes in large coastal embayments and their potential for coastal morphological and paleo tropical cyclone studies: A case study from Choctawhatchee Bay Western Florida, U.S.A: Marine Geology, v. 437, 106478, 17 p., https://doi.org/10.1016/j.margeo.2021.106478.","productDescription":"106478, 17 p.","ipdsId":"IP-128251","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":452568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2021.106478","text":"Publisher Index Page"},{"id":396342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Choctawhatchee Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.572265625,\n 30.39064573955672\n ],\n [\n -86.41983032226562,\n 30.39064573955672\n ],\n [\n -86.41983032226562,\n 30.50311746839939\n ],\n [\n -86.572265625,\n 30.50311746839939\n ],\n [\n -86.572265625,\n 30.39064573955672\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"437","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ranasinghe, P. 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\"}}]}","edition":"Version 1.0: April 26, 2021; Version 1.1: January 18, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
From the iconic skyline of New York City to the forested landscapes of the Adirondack Mountains and the countryside of the Allegheny Plateau, the State of New York is overflowing with diversity and life. Bordered by the Atlantic Ocean on the east and two of the Great Lakes to the north and west, New York has more than 7,600 lakes, ponds, and reservoirs and more than 70,000 miles of rivers and streams. New York’s stewardship of its freshwater resources is fundamental to the health and well-being of all who work at, reside in, and visit the State’s landmarks and places.
Harmful algal blooms in the State’s waterbodies are a growing concern and threaten the health of the region and its inhabitants. Images and data from Landsat satellites continue to provide critical information to scientists, public health officials, and resource managers who are studying the effects and risks of the problem.
Here is a closer look at just a few examples of the value of Landsat to New York.
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York\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: April 26, 2021; Version 1.1: January 23, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
A numerical surface-water/groundwater model was developed for the lower San Antonio River Basin to evaluate the responses of low base flows and groundwater levels within the basin under conditions of reduced recharge and increased groundwater withdrawals. Batch data assimilation through history matching used a simulation of historical conditions (2006-2013); this process included history-matching to groundwater levels and base-flow estimates at several gages, and was completed in a high-dimensional (highly parameterized) framework. The model was developed in an uncertainty framework such that parameters, observations, and scenarios of interest are envisioned stochastically as distributions of potential values. Results indicate that groundwater contributions to surface water during periods of low flow may be reduced from 6% to 25% with a corresponding 25% reduction in recharge and a 25% increase in groundwater pumping over an 8-year planning period. Furthermore, results indicate groundwater-level reductions in some hydrostratigraphic units are more likely than in other hydrostratigraphic units over an 8-year period under drought conditions with the higher groundwater withdrawal scenario.
No abstract available.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12685","usgsCitation":"Converse, S.J., and Sipe, H., 2021, Finding the win-win strategies in endangered species conservation: Animal Conservation, v. 24, no. 2, p. 161-162, https://doi.org/10.1111/acv.12685.","productDescription":"2 p.","startPage":"161","endPage":"162","ipdsId":"IP-127227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":937797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sipe, Hannah A.","contributorId":355625,"corporation":false,"usgs":false,"family":"Sipe","given":"Hannah A.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":937798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230037,"text":"70230037 - 2021 - History of Great Salt Lake, Utah, USA: Since the termination of Lake Bonneville","interactions":[],"lastModifiedDate":"2022-03-25T13:31:42.717075","indexId":"70230037","displayToPublicDate":"2021-04-25T08:24:58","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"History of Great Salt Lake, Utah, USA: Since the termination of Lake Bonneville","docAbstract":"During the past half century or so diverse histories of Great Salt Lake have been written from differing perspectives and all of them have contributed ideas and essential data. The published literature, however, can be confusing and misleading. In this chapter, we review and provide context for a number of those publications. This chapter is intended as a summary of what is known, what is not known, and what cannot be known with precision about the history of the lake.
Great Salt Lake is the largest hydrographically closed lake in the Bonneville basin of northwestern Utah. It responds to both short-term weather and long-term climate. In the Lake Bonneville/Great Salt Lake lacustrine system, the end of Lake Bonneville at 13,000 yr BP marks the beginning of Great Salt Lake. The much larger and deeper lakes of the Bonneville lake cycle responded to the pluvial climate of oxygen isotope stage 2, but the warmer, drier climate of oxygen isotope stage 1 led to rapid fluctuations within a relatively narrow, well-documented elevation range, 5 m above and 9 m below the historical mean elevation of ~1280 m. Two exceptional but short-lived rises of Great Salt Lake to elevations higher than 5 m above ~1280 m have been documented —one during the Gilbert episode, which peaked about 11,600 yr BP near an elevation of 1295 m, and one to about 1289 m sometime after about 11,000 yr BP.
The historical Great Salt Lake hydrograph (the past 150 years) shows its labile behavior. Smooth-curve hydrographs based on estimates of lake level at time scales of decades, centuries, or millennia, such as those presented in previous publications, do not accurately portray the way lake level rises and falls, and a precise plot of post-Bonneville changes in level of Great Salt Lake would resemble the “jagged” historical record. The available sedimentary and geomorphic data are not conducive at this time to the production of a highly precise hydrograph, so we suggest that post-Bonneville lake-level history be portrayed, imprecisely but accurately, as confined generally between the elevation limits of 1285 and 1271 m, with an indication of the exceptional spikes in the lake level.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Limnogeology: Progress, challenges and opportunities: A tribute to Elizabeth Gierlowski-Kordesch","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-66576-0_8","usgsCitation":"Oviatt, C.G., Atwood, G., and Thompson, R.S., 2021, History of Great Salt Lake, Utah, USA: Since the termination of Lake Bonneville, chap. of Limnogeology: Progress, challenges and opportunities: A tribute to Elizabeth Gierlowski-Kordesch, p. 233-271, https://doi.org/10.1007/978-3-030-66576-0_8.","productDescription":"39 p.","startPage":"233","endPage":"271","ipdsId":"IP-107807","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":397595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Bonneville basin, Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.8623046875,\n 40.59727063442024\n ],\n [\n -111.939697265625,\n 40.59727063442024\n ],\n [\n -111.939697265625,\n 41.812267143599804\n ],\n [\n -113.8623046875,\n 41.812267143599804\n ],\n [\n -113.8623046875,\n 40.59727063442024\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Oviatt, Charles G.","contributorId":36580,"corporation":false,"usgs":false,"family":"Oviatt","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":838824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Genevieve","contributorId":289265,"corporation":false,"usgs":false,"family":"Atwood","given":"Genevieve","email":"","affiliations":[{"id":62089,"text":"Earth Science Education","active":true,"usgs":false}],"preferred":false,"id":838825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":838826,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222128,"text":"70222128 - 2021 - Diatom record of holocene moisture variability in the San Bernardino Mountains, California, USA.","interactions":[],"lastModifiedDate":"2021-07-21T12:18:01.904744","indexId":"70222128","displayToPublicDate":"2021-04-25T07:12:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9104,"text":"Syntheses in Limnogeology","active":true,"publicationSubtype":{"id":10}},"title":"Diatom record of holocene moisture variability in the San Bernardino Mountains, California, USA.","docAbstract":"Lower Bear Lake, in the San Bernardino Mountains, contains a Holocene paleohydrology record for southern California. The diatom and sediment geochemistry record indicates that the region experienced a wet Early Holocene followed by a gradual decrease in precipitation, which was punctuated by four strong and five weak pluvial episodes. The Lower Bear Lake record is compared with that of Silver Lake, a Mojave River terminal lake with headwaters in the San Bernardino Mountains, which exhibited several pluvial events at roughly the same time. The comparison is extended to records in relative proximity to Bear Lake (Dry Lake, Lake Elsinore, and San Joaquin marsh) and to two lakes with headwaters in the Sierra Nevada (Tulare Lake and Owens Lake). All exhibit a wet Early and early Middle Holocene wet interval and gradual drying through the remainder of the Holocene but differ in the expression of the pluvial episodes observed at Lower Bear Lake. The pluvial episodes are likely the result of changes in the storm track that affects the frequency and magnitude of winter storms in the area. These episodes are controlled by complex oceanic and atmospheric interactions and may be the result of the synchronous interaction of several teleconnections.
","language":"English","publisher":"Springer","doi":"10.1007%2F978-3-030-66576-0_11","usgsCitation":"Starratt, S.W., Kirby, M.E., and Glover, K., 2021, Diatom record of holocene moisture variability in the San Bernardino Mountains, California, USA.: Syntheses in Limnogeology, v. 2, p. 329-365, https://doi.org/10.1007%2F978-3-030-66576-0_11.","productDescription":"37 p.","startPage":"329","endPage":"365","ipdsId":"IP-069664","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":387322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Bernardino","otherGeospatial":"San Bernardino Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.44934082031249,\n 33.64663552343716\n ],\n [\n -116.2298583984375,\n 33.64663552343716\n ],\n [\n -116.2298583984375,\n 34.38877925439021\n ],\n [\n -117.44934082031249,\n 34.38877925439021\n ],\n [\n -117.44934082031249,\n 33.64663552343716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2021-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":819618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, Matthew E.","contributorId":200294,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":819628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glover, Kristine","contributorId":261270,"corporation":false,"usgs":false,"family":"Glover","given":"Kristine","email":"","affiliations":[],"preferred":false,"id":819629,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223116,"text":"70223116 - 2021 - What can commercial fishery data in the Great Lakes reveal about juvenile sea lamprey (Petromyzon marinus) ecology and management?","interactions":[],"lastModifiedDate":"2022-01-06T17:54:36.553996","indexId":"70223116","displayToPublicDate":"2021-04-24T07:40:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"What can commercial fishery data in the Great Lakes reveal about juvenile sea lamprey (Petromyzon marinus) ecology and management?","title":"What can commercial fishery data in the Great Lakes reveal about juvenile sea lamprey (Petromyzon marinus) ecology and management?","docAbstract":"The Laurentian Great Lakes of North America support a large and profitable freshwater fishery, but one continuously beset by parasitism from the invasive sea lamprey (Petromyzon marinus). Despite being the life stage that inflicts damage to the fishery, therefore necessitating a bi-national control program, our knowledge of juvenile sea lamprey ecology is poor and their response to control efforts are not assessed. Incidental capture of juvenile sea lamprey by commercial fishers is one means to collect data on this enigmatic life stage, and in Lake Huron such data have been collated since 1967. Here, we explore incidental captures of juvenile sea lamprey and their hosts from northern Lake Huron between 1987 and 2017 (n = 33,246 observations) to address four objectives. Firstly, we document collection efforts by fishers to provide historical context to the dataset. Secondly, we pose and test a series of questions related to fishery encounter, host selection, growth, distribution, and sex ratio to highlight how these types of data can be informative regarding juvenile sea lamprey ecology. Results presented here could be used to develop biological hypotheses to be addressed in future work. Thirdly, we directly assessed whether juvenile sea lamprey capture data could be useful in corroborating trends observed in adult sea lamprey abundance and wounding, as well as in identifying abundance and wounding hotspots. Lastly, we summarize research and outreach efforts that have benefited from the capture of juvenile sea lamprey in recent years.
Ecosystem managers confronted with newly invasive species may respond with a program of suppression or eradication. Suppression of an invasive species refers to management of a species such that its effect on other biota in the local ecosystem is acceptable. Eradication is the removal of all individuals of a species from a defined region. We examine the cost and benefit trade-offs between suppression and eradication of Laurentian Great Lakes sea lampreys (Petromyzon marinus) based on discussions at the 3rd Sea Lamprey International Symposium (held in 2019). Substantial effort has been expended annually since the 1960s to suppress sea lampreys in the Great Lakes basin. Choosing between suppression and eradication is a value judgement, ideally made jointly by scientists, decision-makers, stakeholders, and society. Successful large-scale eradications have been limited to a small number of cases for which the cost to human society justified and supported the long-term commitment necessary for success. The greatest challenge to successful eradication of sea lampreys from the Great Lakes may be a suitable social, political, legal, and institutional environment. Preparations could be made now for a transition in which public pushback on current control methods (pesticide applications and barriers to fish passage) leads to more extensive use of an alternative control method, such as genetic control.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.04.005","usgsCitation":"Adams, J.V., Birceanu, O., Chadderton, W.L., Jones, M., Lepak, J.M., Selheimer, T.S., Steeves, T.B., Sullivan, W.P., and Wingfield, J., 2021, Trade-offs between suppression and eradication of sea lampreys from the Great Lake: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S782-S795, https://doi.org/10.1016/j.jglr.2021.04.005.","productDescription":"14 p.","startPage":"S782","endPage":"S795","ipdsId":"IP-121357","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452576,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.04.005","text":"Publisher Index Page"},{"id":385317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes and Saint Lawrence River areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.07714843749999,\n 48.8936153614802\n ],\n [\n -92.8125,\n 46.649436163350245\n ],\n [\n -89.1650390625,\n 46.46813299215554\n ],\n [\n -88.2861328125,\n 44.55916341529182\n ],\n [\n -87.71484375,\n 41.0130657870063\n ],\n [\n -81.1669921875,\n 40.91351257612758\n ],\n [\n -77.3876953125,\n 42.74701217318067\n ],\n [\n -75.1025390625,\n 44.653024159812\n ],\n [\n -71.54296874999999,\n 46.34692761055676\n ],\n [\n -67.5439453125,\n 48.516604348867475\n ],\n [\n -65.7861328125,\n 48.951366470947725\n ],\n [\n -67.7197265625,\n 49.89463439573421\n ],\n [\n -71.9384765625,\n 47.338822694822\n ],\n [\n -75.89355468749999,\n 45.02695045318546\n ],\n [\n -79.3212890625,\n 44.84029065139799\n ],\n [\n -84.375,\n 46.73986059969267\n ],\n [\n -84.7705078125,\n 48.10743118848039\n ],\n [\n -86.484375,\n 49.03786794532644\n ],\n [\n -87.9345703125,\n 49.26780455063753\n ],\n [\n -89.07714843749999,\n 48.8936153614802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birceanu, Oana","contributorId":191034,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","affiliations":[],"preferred":false,"id":814711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chadderton, W. Lindsay","contributorId":257604,"corporation":false,"usgs":false,"family":"Chadderton","given":"W.","email":"","middleInitial":"Lindsay","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":true,"id":814712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":814713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lepak, Jesse M.","contributorId":172156,"corporation":false,"usgs":false,"family":"Lepak","given":"Jesse","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":814714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Selheimer, Titus S","contributorId":257606,"corporation":false,"usgs":false,"family":"Selheimer","given":"Titus","email":"","middleInitial":"S","affiliations":[{"id":52065,"text":"Wisconsin Sea Grant","active":true,"usgs":false}],"preferred":false,"id":814715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":814716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sullivan, W. Paul","contributorId":257607,"corporation":false,"usgs":false,"family":"Sullivan","given":"W.","email":"","middleInitial":"Paul","affiliations":[{"id":52068,"text":"Fisheries and Oceans Canada - retired","active":true,"usgs":false}],"preferred":false,"id":814717,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wingfield, Jill","contributorId":257608,"corporation":false,"usgs":false,"family":"Wingfield","given":"Jill","email":"","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":814718,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230076,"text":"70230076 - 2021 - Insight into the May 2015 summit inflation event at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2022-03-28T11:54:59.66099","indexId":"70230076","displayToPublicDate":"2021-04-24T06:51:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Insight into the May 2015 summit inflation event at Kīlauea Volcano, Hawai‘i","docAbstract":"We use ground and space geodetic data to study surface deformation at Kīlauea Volcano from January to September 2015. This period includes an episode of heightened activity in April and May 2015 that culminated in a magmatic intrusion beneath the volcano's summit. The data set consists of Global Navigation Satellite System (GNSS), tilt, visual and seismic time series along with 25 descending and 15 ascending acquisitions of the Sentinel-1 satellite. We identify four different stages of surface deformation and volcanic activity, which we attribute to pressure changes and the movement of magma in response to an imbalance between magma supply and withdrawal in the shallow plumbing system, eventually leading to an intrusion beneath the summit area. In particular, we model the deformation as due to pressure changes in two subsurface magma bodies: the Halema‘uma‘u Reservoir (HMMR) and South Caldera Reservoir (SCR). The SCR was best described by an ellipsoidal source at 2.8 (2.65–3.07 at 95% confidence) km depth below the south caldera region. The HMMR was modeled as a point source located just east of Halema‘uma‘u crater at 1.5 (0.95–2.62) km depth. We suggest that a short-term increase in the magma supply rate to the volcano is a potential mechanisms for the intrusion, although other factors, like the filling of available void space or a reduced efficiency of magma transport through the volcano's East Rift Zone, may also play a role.