This report addresses the relation between flow of the Yampa River and occurrence of herbaceous and woody riparian vegetation in Dinosaur National Monument (DINO) with the goal of informing management decisions related to potential future water development. The Yampa River in DINO flows through diverse valley settings, from the relatively broad restricted meanders of Deerlodge Park to narrower canyons, including debris fan-affected reaches in the upper Yampa Canyon and entrenched meanders in Harding Hole and Laddie Park. Analysis of occurrence of all plant species measured in 1470 quadrats by multiple authors over the last 24 years shows that riparian vegetation along the Yampa River is strongly related to valley setting and geomorphic surfaces, defined here as active channel, active floodplain, inactive floodplain, and upland. Principal Coordinates Ordination arrayed quadrats and species along gradients of overall cover and moisture availability, from upland and inactive floodplain quadrats and associated xeric species like western wheat grass (Pascopyrum smithii), cheatgrass (Bromus tectorum), and saltgrass (Distichlis spicata) to active channel and active floodplain quadrats supporting more mesic species including sandbar willow (Salix exigua), wild licorice (Glycyrrhiza lepidota), and cordgrass (Spartina spp.). Indicator species analysis identified plants strongly correlated with geomorphic surfaces. These species indicate state changes in geomorphic surfaces, such as the conversion of active channel to floodplain during channel narrowing.
The dominant woody riparian species along the Yampa River are invasive tamarisk (Tamarix ramosissima), and native Fremont cottonwood (Populus deltoides ssp. wislizenii), box elder (Acer negundo L. var. interius), and sandbar willow (Salix exigua). These species differ in tolerance of drought, salinity, inundation, flood disturbance and shade, and in seed size, timing of seed dispersal and ability to form root sprouts. These physiological and ecological differences interact with flow variation and geomorphic setting, resulting in differential patterns of occurrence. For example, in park settings cottonwood is far more abundant than box elder, while the reverse is true in canyons.
Synthesis of existing knowledge from the Yampa and Green rivers and elsewhere suggests that the following flow-vegetation relations can be used to assess effects of future flow alterations in the Yampa River.
Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10–100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km2) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999–2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.
","language":"English","publisher":"Nature","doi":"10.1038/sdata.2018.58","usgsCitation":"Lara, M.J., Nitze, I., Grosse, G., and McGuire, A.D., 2018, Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska: Scientific Data, v. 5, p. 1-10, https://doi.org/10.1038/sdata.2018.58.","productDescription":"Article number: 180058; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-088497","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2018.58","text":"Publisher Index Page"},{"id":354201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf73","contributors":{"authors":[{"text":"Lara, Mark J.","contributorId":194640,"corporation":false,"usgs":false,"family":"Lara","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":735153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":735154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":735151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205660,"text":"70205660 - 2018 - The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","interactions":[],"lastModifiedDate":"2019-10-02T16:40:57","indexId":"70205660","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3152,"text":"Proceedings of the Entomological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","docAbstract":"An annotated checklist is provided for 243 species and subspecies of bees collected from or thought to occur in the state of Louisiana, where 163 are confirmed records, 46 are probable records, and 34 are possible records. We also list twelve records considered to be “dubious” because of the absence of supporting collection data and extralimital reported ranges. Data on parish localities, seasonality, and floral records are provided when available. Specimen data are provided from two separate surveys in the state, one focusing on the fauna of longleaf pine savannas and another focusing on Cajun prairie habitat in southwestern Louisiana. Data from a previous annotated checklist of bees from longleaf pine savannas (Bartholomew et al. 2006) are included, as well as online records from the Discover Life checklist (Ascher and Pickering 2016), and bee holdings of the Louisiana State Arthropod Museum (LSAM, Louisiana State University, Baton Rouge, LA).We highlight the role that this museum and similar small institutional insect collections play in documenting faunas on local and regional scales.","language":"English","publisher":"Entomological Society of Washington","doi":"10.4289/0013-8797.120.2.272","usgsCitation":"Owens, B.E., Allain, L.K., VanGorder, E.C., Bossart, J.L., and Carlton, C.E., 2018, The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist: Proceedings of the Entomological Society of Washington, v. 120, no. 2, p. 272-307, https://doi.org/10.4289/0013-8797.120.2.272.","productDescription":"36 p.","startPage":"272","endPage":"307","ipdsId":"IP-085990","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437973,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91LIQ0T","text":"USGS data release","linkHelpText":"Bee populations and habitat survey in southwest Louisiana grasslands"},{"id":367922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"120","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Owens, Brittany E.","contributorId":219331,"corporation":false,"usgs":false,"family":"Owens","given":"Brittany","email":"","middleInitial":"E.","affiliations":[{"id":39992,"text":"Louisiana State Arthropod Museum, Dept. of Entomology, LSU","active":true,"usgs":false}],"preferred":false,"id":772004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":772003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanGorder, Eric C.","contributorId":219332,"corporation":false,"usgs":false,"family":"VanGorder","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":772005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bossart, Janice L.","contributorId":219333,"corporation":false,"usgs":false,"family":"Bossart","given":"Janice","email":"","middleInitial":"L.","affiliations":[{"id":39993,"text":"Dept. of Biological Sciences, Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":772006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlton, Christopher E.","contributorId":191860,"corporation":false,"usgs":false,"family":"Carlton","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":772007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196780,"text":"70196780 - 2018 - Multiple drivers, scales, and interactions influence southern Appalachian stream salamander occupancy","interactions":[],"lastModifiedDate":"2018-05-01T10:56:00","indexId":"70196780","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Multiple drivers, scales, and interactions influence southern Appalachian stream salamander occupancy","docAbstract":"Understanding how factors that vary in spatial scale relate to population abundance is vital to forecasting species responses to environmental change. Stream and river ecosystems are inherently hierarchical, potentially resulting in organismal responses to fine‐scale changes in patch characteristics that are conditional on the watershed context. Here, we address how populations of two salamander species are affected by interactions among hierarchical processes operating at different scales within a rapidly changing landscape of the southern Appalachian Mountains. We modeled reach‐level occupancy of larval and adult black‐bellied salamanders (Desmognathus quadramaculatus) and larval Blue Ridge two‐lined salamanders (Eurycea wilderae) as a function of 17 different terrestrial and aquatic predictor variables that varied in spatial extent. We found that salamander occurrence varied widely among streams within fully forested catchments, but also exhibited species‐specific responses to changes in local conditions. While D. quadramaculatus declined predictably in relation to losses in forest cover, larval occupancy exhibited the strongest negative response to forest loss as well as decreases in elevation. Conversely, occupancy of E. wilderae was unassociated with watershed conditions, only responding negatively to higher proportions of fast‐flowing stream habitat types. Evaluation of hierarchical relationships demonstrated that most fine‐scale variables were closely correlated with broad watershed‐scale variables, suggesting that local reach‐scale factors have relatively smaller effects within the context of the larger landscape. Our results imply that effective management of southern Appalachian stream salamanders must first focus on the larger scale condition of watersheds before management of local‐scale conditions should proceed. Our findings confirm the results of some studies while refuting the results of others, which may indicate that prescriptive recommendations for range‐wide management of species or the application of a single management focus across large geographic areas is inappropriate.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2150","usgsCitation":"Cecala, K.K., Maerz, J.C., Halstead, B., Frisch, J.R., Gragson, T.L., Hepinstall-Cymerman, J., Leigh, D.S., Jackson, C.R., Peterson, J., and Pringle, C.M., 2018, Multiple drivers, scales, and interactions influence southern Appalachian stream salamander occupancy: Ecosphere, v. 9, no. 3, p. 1-19, https://doi.org/10.1002/ecs2.2150.","productDescription":"e02150; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-069181","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2150","text":"Publisher Index Page"},{"id":353865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina","otherGeospatial":"Upper Little Tennessee River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.59222412109375,\n 34.88705743313571\n ],\n [\n -83.10745239257812,\n 34.88705743313571\n ],\n [\n -83.10745239257812,\n 35.3308118573182\n ],\n [\n -83.59222412109375,\n 35.3308118573182\n ],\n [\n -83.59222412109375,\n 34.88705743313571\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf7b","contributors":{"authors":[{"text":"Cecala, Kristen K.","contributorId":171762,"corporation":false,"usgs":false,"family":"Cecala","given":"Kristen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":734350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":734351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frisch, John R.","contributorId":171761,"corporation":false,"usgs":false,"family":"Frisch","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":734352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gragson, Ted L.","contributorId":171764,"corporation":false,"usgs":false,"family":"Gragson","given":"Ted","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hepinstall-Cymerman, Jeffrey","contributorId":51998,"corporation":false,"usgs":true,"family":"Hepinstall-Cymerman","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":734354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leigh, David S.","contributorId":204561,"corporation":false,"usgs":false,"family":"Leigh","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":734355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, C. Rhett","contributorId":119155,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":734356,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734346,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pringle, Catherine M.","contributorId":176292,"corporation":false,"usgs":false,"family":"Pringle","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734357,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197054,"text":"70197054 - 2018 - Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2018-05-15T15:43:32","indexId":"70197054","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin","docAbstract":"We explored the conservation potential of tributaries in the upper Colorado River basin by modeling native fish species richness as a function of river discharge, temperature, barrier‐free length, and distance to nearest free‐flowing main‐stem section. We investigated a historic period prior to large‐scale water development and a contemporary period. In the historic period, species richness was log‐linearly correlated to variables capturing flow magnitude, particularly mean annual discharge. In the contemporary period, the log‐linear relationship between discharge and species richness was still evident but weaker. Tributaries with lower average temperature and separated from free‐flowing main‐stem sections often had fewer native species compared to tributaries with similar discharge but with warmer temperature and directly connected to free‐flowing main stems. Thus, tributaries containing only a small proportion of main‐stem discharge, especially those at lower elevations with warmer temperatures and connected to free‐flowing main stems, can support a relatively high species richness. Tributaries can help maintain viable populations by providing ecological processes disrupted on large regulated rivers, such as natural flow and temperature regimes, and may present unique conservation opportunities. Efforts to improve fish passage, secure environmental flows, and restore habitat in these tributaries could greatly contribute to conservation of native fish richness throughout the watershed.
","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10054","usgsCitation":"Laub, B.G., Thiede, G.P., Macfarlane, W.W., and Budy, P., 2018, Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin: Fisheries Magazine, v. 43, no. 4, p. 194-206, https://doi.org/10.1002/fsh.10054.","productDescription":"13 p.","startPage":"194","endPage":"206","ipdsId":"IP-081178","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","volume":"43","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-11","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf71","contributors":{"authors":[{"text":"Laub, Brian G.","contributorId":198569,"corporation":false,"usgs":false,"family":"Laub","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":735385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":204899,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":735387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":735384,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229333,"text":"70229333 - 2018 - A multistate open robust design: population dynamics, reproductive effort, and phenology of sea turtles from tagging data","interactions":[],"lastModifiedDate":"2022-03-03T23:44:02.137553","indexId":"70229333","displayToPublicDate":"2018-03-31T17:32:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"A multistate open robust design: population dynamics, reproductive effort, and phenology of sea turtles from tagging data","docAbstract":"Understanding population dynamics, and how it is influenced by exogenous and endogenous factors, is important to the study and conservation of species. Moreover, for migratory species, the phenology and duration of use of a given location can also influence population structure and dynamics. For many species, breeding abundance, survival, and reproductive performance, as well as phenology of nesting, are often the most accessible, and therefore practical, elements of their life history to study. For a population of hawksbill sea turtles (Eretmochelys imbricata), we modeled population change for nesters and total adult females, survival, and breeding probability, from 25 years of intensive tagging data. We modeled breeding probability as a function of the number of years since last breeding, and tested for differences between neophyte and experienced nesters. For each year, we also estimated the number of clutches deposited per female, and phenology of use, for neophytes and experienced nesters. In order to implement the analysis we developed a novel generalized multistate open robust design mark-recapture modeling framework, with parameters for survival and transition probabilities, and for each primary period, state structure and arrival, persistence, and detection probabilities. Derived parameters included abundance of observable and unobservable components of the population, residence time, expected arrival and departure periods, and per-period intensity of study area use. Abundance of nesters increased over most of the time series. Survival probability was 0.935 (se = 0.01). All hawksbills skipped at least one year of nesting. Breeding probability increased by skipping a second year, but then decreased thereafter. Subsequent breeding probability was lower for neophyte nesters than for experienced nesters, but the effect was weaker than the effect of years since breeding. Clutch frequency varied by year, with no discernable pattern of differences between neophytes and experienced nesters. Mean arrival and departure dates also varied, with a slight shift of nesting activity to earlier in the season. The multistate open robust design model developed here provides a flexible framework for modeling the dynamics of structured migratory populations, and the phenology and duration of their seasonal use of study areas.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1329","usgsCitation":"Kendall, W.L., Stapleton, S., White, G., Richardson, J.I., Pearson, K., and Mason, P., 2018, A multistate open robust design: population dynamics, reproductive effort, and phenology of sea turtles from tagging data: Ecological Monographs, v. 89, no. 1, e01329, 17 p., https://doi.org/10.1002/ecm.1329.","productDescription":"e01329, 17 p.","ipdsId":"IP-092105","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antigua","otherGeospatial":"Caribbean, Jumby Bay Leeward Islands, Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -61.7677116394043,\n 17.148171901233166\n ],\n [\n -61.74179077148437,\n 17.148171901233166\n ],\n [\n -61.74179077148437,\n 17.163918137304176\n ],\n [\n -61.7677116394043,\n 17.163918137304176\n ],\n [\n -61.7677116394043,\n 17.148171901233166\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapleton, Seth","contributorId":287796,"corporation":false,"usgs":false,"family":"Stapleton","given":"Seth","affiliations":[{"id":54555,"text":"umn","active":true,"usgs":false}],"preferred":false,"id":837067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Gary C.","contributorId":287795,"corporation":false,"usgs":false,"family":"White","given":"Gary C.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":837066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, James I.","contributorId":287794,"corporation":false,"usgs":false,"family":"Richardson","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":54555,"text":"umn","active":true,"usgs":false}],"preferred":false,"id":837065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearson, Kristen N.","contributorId":287793,"corporation":false,"usgs":false,"family":"Pearson","given":"Kristen N.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":837064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mason, Peri","contributorId":287792,"corporation":false,"usgs":false,"family":"Mason","given":"Peri","email":"","affiliations":[{"id":32856,"text":"Queens College","active":true,"usgs":false}],"preferred":false,"id":837063,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196368,"text":"70196368 - 2018 - Size, growth, and size‐selective mortality of subyearling Chinook Salmon during early marine residence in Puget Sound","interactions":[],"lastModifiedDate":"2018-04-04T10:57:07","indexId":"70196368","displayToPublicDate":"2018-03-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Size, growth, and size‐selective mortality of subyearling Chinook Salmon during early marine residence in Puget Sound","docAbstract":"In marine ecosystems, survival can be heavily influenced by size‐selective mortality during juvenile life stages. Understanding how and when size‐selective mortality operates on a population can reveal underlying growth dynamics and size‐selective ecological processes affecting the population and thus can be used to guide conservation efforts. For subyearling Chinook Salmon Oncorhynchus tshawytscha in Puget Sound, previous research reported a strong positive relationship between marine survival and body mass during midsummer in epipelagic habitats within Puget Sound, suggesting that early marine growth drives survival. However, a fine‐scale analysis of size‐selective mortality is needed to identify specific critical growth periods and habitats. The objectives of this study were to (1) describe occupancy patterns across estuarine delta, nearshore marine, and offshore epipelagic habitats in Puget Sound; (2) describe changes in FL and weight observed across habitats and time; (3) evaluate evidence for size‐selective mortality; and (4) illustrate how marine survival of the stocks studied may be affected by variation in July weight. In 2014 and 2015, we sampled FLs, weights, and scales from seven hatchery‐origin and two natural‐origin stocks of subyearling Chinook Salmon captured every 2 weeks during out‐migration and rearing in estuary, nearshore, and offshore habitats within Puget Sound. Natural‐origin stocks had more protracted habitat occupancy patterns than hatchery‐origin stocks and were smaller than hatchery‐origin stocks in both years. Regardless of origin, subyearlings were longer and heavier and grew faster in offshore habitats compared to estuary and nearshore habitats. For all stocks, we found little evidence of size‐selective mortality among habitats in Puget Sound. These patterns were consistent in both years. Finally, the weights of subyearlings sampled during July in the offshore habitat predicted Puget Sound‐wide marine survival rates of 0.4% for 2014 and 2.0% for 2015, with stock‐specific predictions ranging from 0.18% to 11.70%.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10032","usgsCitation":"Gamble, M.M., Connelly, K.A., Gardner, J.R., Chamberlin, J.W., Warheit, K.I., and Beauchamp, D.A., 2018, Size, growth, and size‐selective mortality of subyearling Chinook Salmon during early marine residence in Puget Sound: Transactions of the American Fisheries Society, v. 147, no. 2, p. 370-289, https://doi.org/10.1002/tafs.10032.","productDescription":"20 p.","startPage":"370","endPage":"289","ipdsId":"IP-080203","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.61267089843751,\n 46.856434763486966\n ],\n [\n -121.025390625,\n 46.856434763486966\n ],\n [\n -121.025390625,\n 49.01625665778159\n ],\n [\n -123.61267089843751,\n 49.01625665778159\n ],\n [\n -123.61267089843751,\n 46.856434763486966\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-07","publicationStatus":"PW","scienceBaseUri":"5afee6f4e4b0da30c1bfbf99","contributors":{"authors":[{"text":"Gamble, Madilyn M.","contributorId":203908,"corporation":false,"usgs":false,"family":"Gamble","given":"Madilyn","email":"","middleInitial":"M.","affiliations":[{"id":36751,"text":"School of Aquatic and Fisheries Sciences, University of Washington, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":732629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":732630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Jennifer R.","contributorId":175505,"corporation":false,"usgs":false,"family":"Gardner","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chamberlin, Joshua W.","contributorId":203910,"corporation":false,"usgs":false,"family":"Chamberlin","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":36753,"text":"National Oceanic and Atmospheric Administration - Fisheries, Northwest Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":732633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warheit, Kenneth I.","contributorId":202110,"corporation":false,"usgs":false,"family":"Warheit","given":"Kenneth","email":"","middleInitial":"I.","affiliations":[{"id":36349,"text":"Washington Department of Fish and Wildlife, Fish Program, 600 Capitol Way N., Olympia, WA 98501","active":true,"usgs":false}],"preferred":false,"id":732634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732628,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196047,"text":"ofr20181038 - 2018 - Factors affecting long-term trends in surface-water quality in the Gwynns Falls watershed, Baltimore City and County, Maryland, 1998–2016","interactions":[],"lastModifiedDate":"2018-03-30T16:32:53","indexId":"ofr20181038","displayToPublicDate":"2018-03-30T16:00:00","publicationYear":"2018","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":"2018-1038","title":"Factors affecting long-term trends in surface-water quality in the Gwynns Falls watershed, Baltimore City and County, Maryland, 1998–2016","docAbstract":"Factors affecting water-quality trends in urban streams are not well understood, despite current regulatory requirements and considerable ongoing investments in gray and green infrastructure. To address this gap, long-term water-quality trends and factors affecting these trends were examined in the Gwynns Falls, Maryland, watershed during 1998–2016 in cooperation with Blue Water Baltimore. Data on water-quality constituents and potential factors of influence were obtained from multiple sources and compiled for analysis, with a focus on data collected as part of the National Science Foundation funded Long-Term Ecological Research project, the Baltimore Ecosystem Study.
Variability in climate (specifically, precipitation) and land cover can overwhelm actions taken to improve water quality and can present challenges for meeting regulatory goals. Analysis of land cover during 2001–11 in the Gwynns Falls watershed indicated minimal change during the study time frame; therefore, land-cover change is likely not a factor affecting trends in water quality. However, a modest increase in annual precipitation and a significant increase in winter precipitation were apparent in the region. A higher proportion of runoff producing storms was observed in the winter and a lower proportion in the summer, indicating that climate change may affect water quality in the watershed. The increase in precipitation was not reflected in annual or seasonal trends of streamflow in the watershed. Nonetheless, these precipitation changes may exacerbate the inflow and infiltration of water to gray infrastructure and reduce the effectiveness of green infrastructure. For streamflow and most water-quality constituents examined, no discernable trends were noted over the timeframe examined. Despite the increases in precipitation, no trends were observed for annual or seasonal discharge at the various sites within the study area. In some locations, nitrate, phosphate, and total nitrogen show downward trends, and total phosphorus and chloride show upward trends.
Sanitary sewer overflows (gray infrastructure) and best management practices (green infrastructure) were identified as factors affecting water-quality change. The duration of sanitary sewer overflows was positively correlated with annual loads of nutrients and bacteria, and the drainage area of best management practices was negatively correlated with annual loads of phosphate and sulfate. Results of the study indicate that continued investments in gray and green infrastructure are necessary for urban water-quality improvement. Although this outcome is not unexpected, long-term datasets such as the one used in this study, allow the effects of gray and green infrastructures to be quantified.
Results of this study have implications for the Gwynns Falls watershed and its residents and Baltimore City and County managers. Moreover, outcomes are relevant to other watersheds in the metropolitan region that do not have the same long-term dataset. Further, this study has established a framework for ongoing statistical analysis of primary factors affecting urban water-quality trends as regulatory programs mature.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181038","collaboration":"Prepared in cooperation with Blue Water Baltimore","usgsCitation":"Majcher, E.H., Woytowitz, E.L., Reisinger, A.J., and Groffman, P.M., 2018, Factors affecting long-term trends in surface-water quality in the Gwynns Falls watershed, Baltimore City and County, Maryland, 1998–2016: U.S. Geological Survey Open-File Report 2018–1038, 27 p., https://doi.org/10.3133/ofr20181038.","productDescription":"Report: viii, 27 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-094705","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":352999,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1038/coverthb2.jpg"},{"id":353000,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1038/ofr20181038.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1038"},{"id":353001,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76T0KTJ","text":"USGS data release","description":"USGS data release","linkHelpText":"Nutrient, bacteria, ammonia, total Kjeldahl nitrogen, & total suspended solids annual loads; green & gray infrastructure; land cover change; & climate data in the Gwynns Falls subwatersheds, Baltimore, Maryland, 1998-2016 "}],"country":"United States","state":"Maryland","county":"Baltimore County","city":"Baltimore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.8833,\n 39.5\n ],\n [\n -76.5,\n 39.5\n ],\n [\n -76.5,\n 39.1667\n ],\n [\n -76.8833,\n 39.1667\n ],\n [\n -76.8833,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Hypothesis testing is fundamental to producing therigorous biological inferences needed to reliably inform wildlife managemen
","language":"English","doi":"10.1002/jwmg.21461","usgsCitation":"Mitchell, M.S., Sells, S.N., Bassing, S.B., Barker, K.J., Keever, A., Forshee, S.C., and Goerz, J.W., 2018, Explicitly reporting tests of hypotheses improves communication of science: Journal of Wildlife Management, v. 82, no. 4, p. 671-673, https://doi.org/10.1002/jwmg.21461.","productDescription":"3 p.","startPage":"671","endPage":"673","ipdsId":"IP-096082","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21461","text":"Publisher Index Page"},{"id":395416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sells, Sarah N.","contributorId":171706,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":833096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bassing, Sarah B.","contributorId":198688,"corporation":false,"usgs":false,"family":"Bassing","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":833097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barker, Kristin J.","contributorId":204755,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":833099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forshee, Shannon C.","contributorId":204756,"corporation":false,"usgs":false,"family":"Forshee","given":"Shannon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goerz, James W.","contributorId":204757,"corporation":false,"usgs":false,"family":"Goerz","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":833101,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211906,"text":"70211906 - 2018 - Proximate composition, lipid utilization and validation of a non‐lethal method to determine lipid content in migrating American shad Alosa sapidissima","interactions":[],"lastModifiedDate":"2020-08-11T19:01:50.454924","indexId":"70211906","displayToPublicDate":"2018-03-30T13:55:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Proximate composition, lipid utilization and validation of a non‐lethal method to determine lipid content in migrating American shad Alosa sapidissima","title":"Proximate composition, lipid utilization and validation of a non‐lethal method to determine lipid content in migrating American shad Alosa sapidissima","docAbstract":"Lipid content forms the most important energy reserve in anadromous fish and can limit survival, migration and reproductive success. A fat meter was evaluated and compared with a traditional extractive method of measuring available lipid for migrating American shad Alosa sapidissima in the Connecticut River, U.S.A. The fat meter gives rapid (<10 s) and non‐lethal lipid measurements, whereas traditional methods require lethal sampling that is both time consuming and expensive. The fat‐meter readings had a strong relationship to traditional lipid extractions for 60 fish, 30 whole body (R 2 = 0·72) and 30 fillet only (R 2 = 0·81). Additional validation showed that fat‐meter readings captured the gradual decrease of lipid in individual fish over time, were not affected by removal of gonads or scales and were stable for fish exposed to water or air for 24 h after death. These experiments indicate that the fat meter can be used as a reliable tool for future A. sapidissima energetic studies, allowing for larger sample sizes and non‐lethal sampling.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13624","usgsCitation":"Bayse, S.M., Regish, A.M., and McCormick, S.D., 2018, Proximate composition, lipid utilization and validation of a non‐lethal method to determine lipid content in migrating American shad Alosa sapidissima: Journal of Fish Biology, v. 92, no. 6, p. 1832-1848, https://doi.org/10.1111/jfb.13624.","productDescription":"17 p.","startPage":"1832","endPage":"1848","ipdsId":"IP-090293","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, Vermont","city":"Holyoke, Old Lyme, Turners Falls, Vernon","otherGeospatial":"Cabot Station, Connecticut River, Holyoke Dam, Vernon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.39784240722656,\n 41.29173772671105\n ],\n [\n -72.31338500976562,\n 41.29173772671105\n ],\n [\n -72.31338500976562,\n 41.35155670241318\n ],\n [\n -72.39784240722656,\n 41.35155670241318\n ],\n [\n -72.39784240722656,\n 41.29173772671105\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.62168884277344,\n 42.194951362905265\n ],\n [\n -72.58804321289061,\n 42.194951362905265\n ],\n [\n -72.58804321289061,\n 42.2320763395086\n ],\n [\n -72.62168884277344,\n 42.2320763395086\n ],\n [\n -72.62168884277344,\n 42.194951362905265\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.58049011230469,\n 42.5925216370156\n ],\n [\n -72.53311157226561,\n 42.5925216370156\n ],\n [\n -72.53311157226561,\n 42.61577022637093\n ],\n [\n -72.58049011230469,\n 42.61577022637093\n ],\n [\n -72.58049011230469,\n 42.5925216370156\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.51963615417479,\n 42.76462667907507\n ],\n [\n -72.50761985778809,\n 42.76462667907507\n ],\n [\n -72.50761985778809,\n 42.77675540379361\n ],\n [\n -72.51963615417479,\n 42.77675540379361\n ],\n [\n -72.51963615417479,\n 42.76462667907507\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bayse, Shannon Michael 0000-0002-0343-4053","orcid":"https://orcid.org/0000-0002-0343-4053","contributorId":228910,"corporation":false,"usgs":true,"family":"Bayse","given":"Shannon","email":"","middleInitial":"Michael","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194381,"text":"sir20175146 - 2018 - Overview of the geologic effects of the November 14, 2016, Mw 7.8 Kaikoura, New Zealand, earthquake","interactions":[],"lastModifiedDate":"2018-03-30T11:40:14","indexId":"sir20175146","displayToPublicDate":"2018-03-30T11:00:00","publicationYear":"2018","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":"2017-5146","displayTitle":"Overview of the geologic effects of the November 14, 2016, Mw 7.8 Kaikoura, New Zealand, earthquake","title":"Overview of the geologic effects of the November 14, 2016, Mw 7.8 Kaikoura, New Zealand, earthquake","docAbstract":"The November 14, 2016, Kaikoura, New Zealand, earthquake (moment magnitude [Mw] 7.8) triggered more than 10,000 landslides over an area of about 12,000 square kilometers in the northeastern part of the South Island of New Zealand. In collaboration with GNS Science (the Institute of Geological and Nuclear Science Limited), we conducted ground and helicopter reconnaissance of the affected areas and assisted in rapid hazard evaluation. The majority of the triggered landslides were shallow- to moderate-depth (1–10 meters), highly disrupted falls and slides in rock and debris from Lower Cretaceous graywacke sandstone in the Seaward Kaikoura Range. Deeper, more coherent landslides in weak Upper Cretaceous to Neogene sedimentary rock also were numerous in the gentler topography south and inland (west) of the Seaward Kaikoura Range. The principal ground-failure hazards from the earthquake were the hundreds of valley-blocking landslides, many of which impounded lakes and ponds that posed potential downstream flooding hazards. Both large and small landslides also blocked road and rail corridors in many locations, including the main north-south highway (State Highway 1), which was still closed in October 2017. As part of our investigation, we compared post-earthquake field observations to the output of models used to estimate near-real-time landslide probabilities following earthquakes. The models generally over-predicted landslide occurrence and thus need further refinement.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175146","usgsCitation":"Jibson, R.W., Allstadt, K.E., Rengers, F.K., and Godt, J.W., 2018, Overview of the geologic effects of the November 14, 2016, Mw 7.8 Kaikoura, New Zealand, earthquake: U.S. Geological Survey Scientific Investigations Report 2017–5146, 39 p., https://doi.org/10.3133/sir20175146.","productDescription":"vii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-089881","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352924,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5146/sir20175146.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5146"},{"id":352923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5146/coverthb.jpg"}],"country":"New Zealand","city":"Kaikoura","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 172.5677490234375,\n -43.03276068583201\n ],\n [\n 174.39697265625,\n -43.03276068583201\n ],\n [\n 174.39697265625,\n -41.53325414281323\n ],\n [\n 172.5677490234375,\n -41.53325414281323\n ],\n [\n 172.5677490234375,\n -43.03276068583201\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS 966
Denver, CO 80225
Atoll and island coastal communities are highly exposed to sea-level rise, tsunamis, storm surges, rogue waves, king tides, and the occasional combination of multiple factors, such as high regional sea levels, extreme high local tides, and unusually strong wave set-up. The elevation of most of these atolls averages just under 3 meters (m), with many areas roughly at sea level. The lack of high-resolution topographic data has been identified as a critical data gap for hazard vulnerability and adaptation efforts and for high-resolution inundation modeling for atoll nations. Modern topographic survey equipment and airborne lidar surveys can be very difficult and costly to deploy. Therefore, unmanned aircraft systems (UAS) were investigated for collecting overlapping imagery to generate topographic digital elevation models (DEMs). Medium- and high-resolution satellite imagery (Landsat 8 and WorldView-3) was investigated to derive nearshore bathymetry.
The Republic of the Marshall Islands is associated with the United States through a Compact of Free Association, and Majuro Atoll is home to the capital city of Majuro and the largest population of the Republic of the Marshall Islands. The only elevation datasets currently available for the entire Majuro Atoll are the Shuttle Radar Topography Mission and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model Version 2 elevation data, which have a 30-m grid-cell spacing and a 8-m vertical root mean square error (RMSE). Both these datasets have inadequate spatial resolution and vertical accuracy for inundation modeling.
The final topobathymetric DEM (TBDEM) developed for Majuro Atoll is derived from various data sources including charts, soundings, acoustic sonar, and UAS and satellite imagery spanning over 70 years of data collection (1944 to 2016) on different sections of the atoll. The RMSE of the TBDEM over the land area is 0.197 m using over 70,000 Global Navigation Satellite System real-time kinematic survey points for validation, and 1.066 m for Landsat 8 and 1.112 m for WorldView-3 derived bathymetry using over 16,000 and 9,000 lidar bathymetry points, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185047","usgsCitation":"Palaseanu-Lovejoy, M., Poppenga, S.K., Danielson, J.J., Tyler, D.J., Gesch, D.B., Kottermair, M., Jalandoni, A., Carlson, E., Thatcher, C.A., and Barbee, M.M., 2018, One-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016: U.S. Geological Survey Scientific Investigations Report 2018–5047, 16 p., https://doi.org/10.3133/sir20185047.","productDescription":"vii, 16 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090429","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":352868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5047/sir20185047.pdf","text":"Report","size":"2.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5047"},{"id":352867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5047/coverthb.jpg"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Majuro Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 170.96923828125,\n 7.009578865370235\n ],\n [\n 171.42654418945312,\n 7.009578865370235\n ],\n [\n 171.42654418945312,\n 7.261669781279355\n ],\n [\n 170.96923828125,\n 7.261669781279355\n ],\n [\n 170.96923828125,\n 7.009578865370235\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geographic Science Center
U.S. Geological Survey
Mail Stop 521
12201 Sunrise Valley Drive
Reston, VA 20192
This study presents a synthesis of century-scale hydroclimate variations in North America for the Common Era (last 2000 years) using new age models of previously published multiple proxy-based paleoclimate data. This North American Hydroclimate Synthesis (NAHS) examines regional hydroclimate patterns and related environmental indicators, including vegetation, lake water elevation, stream flow and runoff, cave drip rates, biological productivity, assemblages of living organisms, and salinity. Centennial-scale hydroclimate anomalies are obtained by iteratively sampling the proxy data on each of thousands of age model realizations and determining the fractions of possible time series indicating that the century-smoothed data was anomalously wet or dry relative to the 100 BCE to 1900 CE mean. Results suggest regionally asynchronous wet and dry periods over multidecadal to centennial timescales and frequent periods of extended regional drought. Most sites indicate drying during previously documented multicentennial periods of warmer Northern Hemisphere temperatures, particularly in the western U.S., central U.S., and Canada. Two widespread droughts were documented by the NAHS: from 50 BCE to 450 CE and from 800 to 1100 CE. Major hydroclimate reorganizations occurred out of sync with Northern Hemisphere temperature variations and widespread wet and dry anomalies occurred during both warm and cool periods. We present a broad assessment of paleoclimate relationships that highlights the potential influences of internal variability and external forcing and supports a prominent role for Pacific and Atlantic Ocean dynamics on century-scale continental hydroclimate.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2017.12.025","usgsCitation":"Rodysill, J.R., Anderson, L., Cronin, T.M., Jones, M.C., Thompson, R.S., Wahl, D.B., Willard, D.A., Addison, J.A., Alder, J.R., Anderson, K.H., Anderson, L., Barron, J.A., Bernhardt, C.E., Hostetler, S.W., Kehrwald, N.M., Khan, N., Richey, J.N., Starratt, S.W., Strickland, L.E., Toomey, M., Treat, C.C., and Wingard, G.L., 2018, A North American Hydroclimate Synthesis (NAHS) of the Common Era: Global and Planetary Change, v. 162, p. 175-198, https://doi.org/10.1016/j.gloplacha.2017.12.025.","productDescription":"24 p.","startPage":"175","endPage":"198","ipdsId":"IP-089799","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science 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Although appealing in theory and common in practice, empirical tests of the concept have been scarce. We used a real-world, semi-protected reserve established to protect a high-profile umbrella species (greater sage-grouse [Centrocercus urophasianus]) to investigate 2 potential mechanisms underlying the concept's successful application: reserve size and species similarity. We estimated how much habitat protection the established reserve provided to 52 species of conservation concern associated with vegetation communities where greater sage-grouse occur. To illustrate the importance of reserve size, we compared the effectiveness of the established reserve to alternative greater sage-grouse reserves of various sizes and to simulated reserves of equal size but sited with no regard for greater sage-grouse. We further assessed whether key species’ traits were associated with different levels of protection under the umbrella reserve. The established umbrella reserve protected 82% of the state's greater sage-grouse population and 0–63% of the habitat of the background species examined. The reserve outperformed equally sized, simulated reserves for only 12 of 52 background species. As expected, larger alternative reserves served as better umbrellas, but regardless of reserve size, not all species received equal protection. The established reserve was most effective at protecting the habitat of species that were most similar to the umbrella species (i.e., avian species, those highly associated with sagebrush plant communities, and those with widespread habitat). In contrast, the habitat of species with restricted distributions, particularly when combined with vegetation associations not closely matching the umbrella species, was not protected as well by the umbrella reserve. Such species require additional, targeted attention to achieve conservation objectives. Successful application of the umbrella species concept requires careful consideration of the characteristics of the umbrella species, the reserve delineated on its behalf, and the similarity of the umbrella species to its purported background species.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21460","usgsCitation":"Carlisle, J.D., Keinath, D.A., Albeke, S., and Chalfoun, A.D., 2018, Identifying holes in the greater sage-grouse conservation umbrella: Journal of Wildlife Management, v. 82, no. 5, p. 948-957, https://doi.org/10.1002/jwmg.21460.","productDescription":"10 p.","startPage":"948","endPage":"957","ipdsId":"IP-096753","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468879,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10552612","text":"External Repository"},{"id":395347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.07177734375,\n 41.00477542222947\n ],\n [\n -104.04052734375,\n 41.00477542222947\n ],\n [\n -104.04052734375,\n 45.00365115687186\n ],\n [\n -111.07177734375,\n 45.00365115687186\n ],\n [\n -111.07177734375,\n 41.00477542222947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlisle, Jason D.","contributorId":272319,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":832931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":274356,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":832932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albeke, Shannon E.","contributorId":244121,"corporation":false,"usgs":false,"family":"Albeke","given":"Shannon E.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":832933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196284,"text":"70196284 - 2018 - Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States","interactions":[],"lastModifiedDate":"2022-04-14T20:34:00.196163","indexId":"70196284","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States","docAbstract":"Changes in land use and land cover (LULC) can have profound effects on terrestrial carbon dynamics, yet their effects on the global carbon budget remain uncertain. While land change impacts on ecosystem carbon dynamics have been the focus of numerous studies, few efforts have been based on observational data incorporating multiple ecosystem types spanning large geographic areas over long time horizons. In this study we use a variety of synoptic-scale remote sensing data to estimate the effect of LULC changes associated with urbanization, agricultural expansion and contraction, forest harvest, and wildfire on the carbon balance of terrestrial ecosystems (forest, grasslands, shrublands, and agriculture) in the conterminous United States (i.e. excluding Alaska and Hawaii) between 1973 and 2010. We estimate large net declines in the area of agriculture and forest, along with relatively small increases in grasslands and shrublands. The largest net change in any class was an estimated gain of 114 865 km2 of developed lands, an average rate of 3282 km2 yr−1. On average, US ecosystems sequestered carbon at an annual rate of 254 Tg C yr−1. In forest lands, the net sink declined by 35% over the study period, largely a result of land-use legacy, increasing disturbances, and reductions in forest area due to land use conversion. Uncertainty in LULC change data contributed to a ~16% margin of error in the annual carbon sink estimate prior to 1985 (approximately ±40 Tg C yr−1). Improvements in LULC and disturbance mapping starting in the mid-1980s reduced this uncertainty by ~50% after 1985. We conclude that changes in LULC are a critical component to understanding ecosystem carbon dynamics, and continued improvements in detection, quantification, and attribution of change have the potential to significantly reduce current uncertainties.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/aab540","usgsCitation":"Sleeter, B.M., Liu, J., Daniel, C., Rayfield, B., Sherba, J.T., Hawbaker, T., Zhu, Z., Selmants, P., and Loveland, T., 2018, Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States: Environmental Research Letters, v. 13, Article 045006; 13 p., https://doi.org/10.1088/1748-9326/aab540.","productDescription":"Article 045006; 13 p.","ipdsId":"IP-093889","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aab540","text":"Publisher Index Page"},{"id":352987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-29","publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfa7","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Colin J. 0000-0001-7367-2041","orcid":"https://orcid.org/0000-0001-7367-2041","contributorId":203689,"corporation":false,"usgs":false,"family":"Daniel","given":"Colin","middleInitial":"J.","affiliations":[{"id":36689,"text":"Apex Resource Management Solutions; University of Toronto","active":true,"usgs":false}],"preferred":false,"id":732104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rayfield, Bronwyn 0000-0003-1768-1300","orcid":"https://orcid.org/0000-0003-1768-1300","contributorId":203690,"corporation":false,"usgs":false,"family":"Rayfield","given":"Bronwyn","email":"","affiliations":[{"id":36690,"text":"Apex Resource Management Solutions","active":true,"usgs":false}],"preferred":false,"id":732105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherba, Jason T. 0000-0001-9151-686X jsherba@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-686X","contributorId":196154,"corporation":false,"usgs":true,"family":"Sherba","given":"Jason","email":"jsherba@usgs.gov","middleInitial":"T.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":732108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Selmants, Paul C. 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732109,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":732110,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196278,"text":"70196278 - 2018 - Antibiotic-resistant Escherichia coli in migratory birds inhabiting remote Alaska","interactions":[],"lastModifiedDate":"2018-06-19T10:25:06","indexId":"70196278","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antibiotic-resistant Escherichia coli in migratory birds inhabiting remote Alaska","title":"Antibiotic-resistant Escherichia coli in migratory birds inhabiting remote Alaska","docAbstract":"We explored the abundance of antibiotic-resistant Escherichia coli among migratory birds at remote sites in Alaska and used a comparative approach to speculate on plausible explanations for differences in detection among species. At a remote island site, we detected antibiotic-resistant E. coli phenotypes in samples collected from glaucous-winged gulls (Larus glaucescens), a species often associated with foraging at landfills, but not in samples collected from black-legged kittiwakes (Rissa tridactyla), a more pelagic gull that typically inhabits remote areas year-round. We did not find evidence for antibiotic-resistant E. coli among 347 samples collected primarily from waterfowl at a second remote site in western Alaska. Our results provide evidence that glaucous-winged gulls may be more likely to be infected with antibiotic-resistant E. coli at remote breeding sites as compared to sympatric black-legged kittiwakes. This could be a function of the tendency of glaucous-winged gulls to forage at landfills where antibiotic-resistant bacterial infections may be acquired and subsequently dispersed. The low overall detection of antibiotic-resistant E. coli in migratory birds sampled at remote sites in Alaska is consistent with the premise that anthropogenic inputs into the local environment or the relative lack thereof influences the prevalence of antibiotic-resistant bacteria among birds inhabiting the area.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-017-1302-5","usgsCitation":"Ramey, A.M., Hernandez, J., Tyrlov, V., Uher-Koch, B.D., Schmutz, J.A., Atterby, C., Jarhult, J.D., and Bonnedahl, J., 2018, Antibiotic-resistant Escherichia coli in migratory birds inhabiting remote Alaska: EcoHealth, v. 15, no. 1, p. 72-81, https://doi.org/10.1007/s10393-017-1302-5.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-085669","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437975,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SF2TPW","text":"USGS data release","linkHelpText":"Antibiotic-Resistant Escherichia coli in Migratory Birds Inhabiting Remote Alaska, 2015"},{"id":352989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"15","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfad","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","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":732045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hernandez, Jorge","contributorId":203652,"corporation":false,"usgs":false,"family":"Hernandez","given":"Jorge","affiliations":[{"id":36674,"text":"Department of Microbiology, Kalmar County Hospital, Kalmar, Sweden","active":true,"usgs":false}],"preferred":false,"id":732046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyrlov, Veronica","contributorId":203653,"corporation":false,"usgs":false,"family":"Tyrlov","given":"Veronica","email":"","affiliations":[{"id":36674,"text":"Department of Microbiology, Kalmar County Hospital, Kalmar, Sweden","active":true,"usgs":false}],"preferred":false,"id":732047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":732049,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atterby, Clara","contributorId":181796,"corporation":false,"usgs":false,"family":"Atterby","given":"Clara","email":"","affiliations":[],"preferred":false,"id":732050,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jarhult, Josef D.","contributorId":203656,"corporation":false,"usgs":false,"family":"Jarhult","given":"Josef","email":"","middleInitial":"D.","affiliations":[{"id":36675,"text":"Section of Infectious Diseases, Department of Medical Sciences, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":732051,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":732052,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194969,"text":"ofr20171136 - 2018 - Water-quality, bed-sediment, and biological data (October 2015 through September 2016) and statistical summaries of data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2018-09-25T06:35:26","indexId":"ofr20171136","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","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":"2017-1136","title":"Water-quality, bed-sediment, and biological data (October 2015 through September 2016) and statistical summaries of data for streams in the Clark Fork Basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in selected streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2015 through September 2016. Bed-sediment and biota samples were collected once at 13 sites during August 2016.
This report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2015 through September 2016. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. Samples for analysis of turbidity were collected at 13 sites, whereas samples for analysis of dissolved organic carbon were collected at 10 sites. In addition, samples for analysis of nitrogen (nitrate plus nitrite) were collected at two sites. Daily values of mean suspended-sediment concentration and suspended-sediment discharge were determined for three sites. Seasonal daily values of turbidity were determined for five sites. Bed-sediment data include trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork Basin are provided for the period of record.
","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171136","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Turner, M.A., 2018, Water-quality, bed-sediment, and biological data (October 2015 through September 2016) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2017–1136, 118 p., https://doi.org/10.3133/ofr20171136.","productDescription":"Report: vi, 118 p.; Data Release","numberOfPages":"128","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-089429","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":352885,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79C6WDM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-Quality, Bed-Sediment, and Biological Data (October 2015 through September 2016) and Statistical Summaries of Data for Streams in the Clark Fork Basin, Montana"},{"id":352884,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pubs/of/2017/1136/ofr20171136.pdf","text":"Report","size":"3.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2017–1136"},{"id":352883,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pubs/of/2017/1136/coverthb2.jpg"}],"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,\n 45.85\n ],\n [\n -112.41485595703125,\n 45.85\n ],\n [\n -112.41485595703125,\n 47\n ],\n [\n -114,\n 47\n ],\n [\n -114,\n 45.85\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
A substantial part of the U.S. Pacific Northwest is underlain by Cenozoic volcanic and continental sedimentary rocks and, where widespread, these strata form important aquifers. The legacy geologic mapping presented with this report contains new thematic categorization added to state digital compilations published by the U.S. Geological Survey for Oregon, California, Idaho, Nevada, Utah, and Washington (Ludington and others, 2005). Our additional coding is designed to allow rapid characterization, mainly for hydrogeologic purposes, of similar rocks and deposits within a boundary expanded slightly beyond that of the Pacific Northwest Volcanic Aquifer System study area. To be useful for hydrogeologic analysis and to be more statistically manageable, statewide compilations from Ludington and others (2005) were mosaicked into a regional map and then reinterpreted into four main categories on the basis of (1) age, (2) composition, (3) hydrogeologic grouping, and (4) lithologic pattern. The coding scheme emphasizes Cenozoic volcanic or volcanic-related rocks and deposits, and of primary interest are the codings for composition and age.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181030","usgsCitation":"Sherrod, D.R., and Keith, M.K., 2018, GIS database and discussion for the distribution, composition, and age of Cenozoic volcanic rocks of the Pacific Northwest Volcanic Aquifer System study area: U.S. Geological Survey Open-File Report 2018–1030, 16 p., https://doi.org/10.3133/ofr20181030. ","productDescription":"Pamphlet: iv, 16 p.; Spatial data; Metadata; Readme","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085785","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":353011,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2018/1030/ofr20181030_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2018-1030 Read Me"},{"id":353014,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2018/1030/ofr20181030_NVASA_AgeComp_gis.zip","size":"14.1 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2018-1030 GIS"},{"id":353008,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1030/coverthb.jpg"},{"id":353009,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1030/ofr20181030_pamphlet.pdf","text":"Pamphlet","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1030 Pamphlet"},{"id":353013,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2018/1030/ofr20181030_NVASA_AgeComp_metadata.zip","size":"14 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2018-1030 Metadata"}],"country":"United States","otherGeospatial":"Pacific Northwest Volcanic Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123,\n 39\n ],\n [\n -113,\n 39\n ],\n [\n -113,\n 47\n ],\n [\n -123,\n 47\n ],\n [\n -123,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center
Cascades Volcano Observatory - Portland
U.S. Geological Survey
1300 SE Cardinal Court
Vancouver, WA, 98683
Avian acoustic communication has resulted from evolutionary pressures and ecological constraints. We therefore expect that auditory detectability in birds might be predictable by species traits and phylogenetic relatedness. We evaluated the relationship between phylogeny, species traits, and field‐based estimates of the two processes that determine species detectability (singing rate and detection distance) for 141 bird species breeding in boreal North America. We used phylogenetic mixed models and cross‐validation to compare the relative merits of using trait data only, phylogeny only, or the combination of both to predict detectability. We found a strong phylogenetic signal in both singing rates and detection distances; however the strength of phylogenetic effects was less than expected under Brownian motion evolution. The evolution of behavioural traits that determine singing rates was found to be more labile, leaving more room for species to evolve independently, whereas detection distance was mostly determined by anatomy (i.e. body size) and thus the laws of physics. Our findings can help in disentangling how complex ecological and evolutionary mechanisms have shaped different aspects of detectability in boreal birds. Such information can greatly inform single‐ and multi‐species models but more work is required to better understand how to best correct possible biases in phylogenetic diversity and other community metrics.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.03415","usgsCitation":"Solymos, P., Matsuoka, S.M., Stralberg, D., Barker, N.K., and Bayne, E.M., 2018, Phylogeny and species traits predict bird detectability: Ecography, v. 41, no. 10, p. 1595-1603, https://doi.org/10.1111/ecog.03415.","productDescription":"9 p.","startPage":"1595","endPage":"1603","ipdsId":"IP-088898","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":353019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-09","publicationStatus":"PW","scienceBaseUri":"5afee6f4e4b0da30c1bfbfa3","contributors":{"authors":[{"text":"Solymos, Peter","contributorId":203718,"corporation":false,"usgs":false,"family":"Solymos","given":"Peter","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":732170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stralberg, Diana","contributorId":187413,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","email":"","affiliations":[],"preferred":false,"id":732171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barker, Nicole K. S.","contributorId":203720,"corporation":false,"usgs":false,"family":"Barker","given":"Nicole","email":"","middleInitial":"K. S.","affiliations":[{"id":36697,"text":"Boreal Avian Modeling Project","active":true,"usgs":false}],"preferred":false,"id":732172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bayne, Erin M.","contributorId":140675,"corporation":false,"usgs":false,"family":"Bayne","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":732173,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196288,"text":"70196288 - 2018 - Benthic assemblages of mega epifauna on the Oregon continental margin","interactions":[],"lastModifiedDate":"2018-03-30T14:12:46","indexId":"70196288","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Benthic assemblages of mega epifauna on the Oregon continental margin","docAbstract":"Environmental assessment studies are usually required by a country's administration before issuing permits for any industrial activities. One of the goals of such environmental assessment studies is to highlight species assemblages and habitat composition that could make the targeted area unique. A section of the Oregon continental slope that had not been previously explored was targeted for the deployment of floating wind turbines. We carried out an underwater video survey, using a towed camera sled, to describe its benthic assemblages. Organisms were identified to the lowest taxonomic level possible and assemblages described related to the nature of the seafloor and the depth. We highlighted six invertebrate assemblages and three fish assemblages. For the invertebrates within flat soft sediments areas we defined three different assemblages based on primarily depth: a broad mid-depth (98–315 m) assemblage dominated by red octopus, sea pens and pink shrimps; a narrower mid-depth (250–270 m) assemblage dominated by box crabs and various other invertebrates; and a deeper (310–600 m) assemblage dominated by sea urchins, sea anemones, various snails and zoroasterid sea stars. The invertebrates on mixed sediments also were divided into three different assemblages: a shallow (~100 m deep) assemblage dominated by plumose sea anemones, broad mid-depth (170–370 m) assemblage dominated by sea cucumbers and various other invertebrates; and, again, a narrower mid-depth (230–270 m) assemblage, dominated by crinoids and encrusting invertebrates. For the fish, we identified a rockfish assemblage on coarse mixed sediments at 170–370 m and another fish assemblage on smaller mixed sediments within that depth range (250–370 m) dominated by thornyheads, poachers and flatfishes; and we identified a wide depth-range (98–600 m) fish assemblage on flat soft sediments dominated by flatfishes, eelpouts and thornyheads. Three of these assemblages (the two broad fish assemblages and the deep flat soft sediments invertebrate assemblage) seem to represent deeper examples of assemblages already known on the Oregon continental shelf, especially on soft sediments, while the assemblages in the pockmarks habitat (the narrower depth ranges) might be unique to the area. This diversity of assemblages in a relatively small section of the Oregon continental upper slope and shelf shows the importance of environmental assessment studies in helping limit future impacts of industrial activities on benthic communities.
","language":"English","publisher":"Springer","doi":"10.1016/j.csr.2018.03.004","usgsCitation":"Hemery, L.G., Henkel, S.K., and Cochrane, G.R., 2018, Benthic assemblages of mega epifauna on the Oregon continental margin: Continental Shelf Research, v. 159, p. 24-32, https://doi.org/10.1016/j.csr.2018.03.004.","productDescription":"9 p.","startPage":"24","endPage":"32","ipdsId":"IP-084936","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8,\n 43.3\n ],\n [\n -124.4167,\n 43.3\n ],\n [\n -124.4167,\n 43.5833\n ],\n [\n -124.8,\n 43.5833\n ],\n [\n -124.8,\n 43.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"159","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfa5","contributors":{"authors":[{"text":"Hemery, Lenaig G. 0000-0001-5337-4514","orcid":"https://orcid.org/0000-0001-5337-4514","contributorId":191397,"corporation":false,"usgs":false,"family":"Hemery","given":"Lenaig","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henkel, Sarah K.","contributorId":191398,"corporation":false,"usgs":false,"family":"Henkel","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":732168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196072,"text":"70196072 - 2018 - Wave attenuation across a tidal marsh in San Francisco Bay","interactions":[],"lastModifiedDate":"2018-03-30T12:38:58","indexId":"70196072","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Wave attenuation across a tidal marsh in San Francisco Bay","docAbstract":"Wave attenuation is a central process in the mechanics of a healthy salt marsh. Understanding how wave attenuation varies with vegetation and hydrodynamic conditions informs models of other marsh processes that are a function of wave energy (e.g. sediment transport) and allows for the incorporation of marshes into coastal protection plans. Here, we examine the evolution of wave height across a tidal salt marsh in San Francisco Bay. Instruments were deployed along a cross-shore transect, starting on the mudflat and crossing through zones dominated by Spartina foliosa and Salicornia pacifica. This dataset is the first to quantify wave attenuation for these vegetation species, which are abundant in the intertidal zone of California estuaries. Measurements were collected in the summer and winter to assess seasonal variation in wave attenuation. Calculated drag coefficients of S. foliosa and S. pacifica were similar, indicating equal amounts of vegetation would lead to similar energy dissipation; however, S. pacifica has much greater biomass close to the bed (<20 cm) and retains biomass throughout the year, and therefore, it causes more total attenuation. S. foliosa dies back in the winter, and waves often grow across this section of the marsh. For both vegetation types, attenuation was greatest for low water depths, when the vegetation was emergent. For both seasons, attenuation rates across S. pacifica were the highest and were greater than published attenuation rates across similar (Spartina alterniflora) salt marshes for the comparable depths. These results can inform designs for marsh restorations and management plans in San Francisco Bay and other estuaries containing these species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2018.02.001","usgsCitation":"Foster-Martinez, M.R., Lacy, J.R., Ferner, M.C., and Variano, E., 2018, Wave attenuation across a tidal marsh in San Francisco Bay: Coastal Engineering, v. 136, p. 26-40, https://doi.org/10.1016/j.coastaleng.2018.02.001.","productDescription":"15 p.","startPage":"26","endPage":"40","ipdsId":"IP-090999","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2018.02.001","text":"Publisher Index Page"},{"id":353003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.50717163085938,\n 38.00049145082287\n ],\n [\n -122.44949340820312,\n 38.00049145082287\n ],\n [\n -122.44949340820312,\n 38.03132654864846\n ],\n [\n -122.50717163085938,\n 38.03132654864846\n ],\n [\n -122.50717163085938,\n 38.00049145082287\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"136","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfb3","contributors":{"authors":[{"text":"Foster-Martinez, Madeline R.","contributorId":201705,"corporation":false,"usgs":false,"family":"Foster-Martinez","given":"Madeline","email":"","middleInitial":"R.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":731210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":731209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferner, Matthew C.","contributorId":176972,"corporation":false,"usgs":false,"family":"Ferner","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":731211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Variano, Evan A.","contributorId":67793,"corporation":false,"usgs":true,"family":"Variano","given":"Evan A.","affiliations":[],"preferred":false,"id":731212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195805,"text":"sir20185035 - 2018 - The Ozark Plateaus Regional Aquifer Study—Documentation of a groundwater-flow model constructed to assess water availability in the Ozark Plateaus","interactions":[],"lastModifiedDate":"2018-09-25T06:02:39","indexId":"sir20185035","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","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":"2018-5035","title":"The Ozark Plateaus Regional Aquifer Study—Documentation of a groundwater-flow model constructed to assess water availability in the Ozark Plateaus","docAbstract":"Recent short-term drought conditions have emphasized the need to better understand the delicate balance between abundance, sustainability, and scarcity of groundwater in the Ozark Plateaus aquifer system. In 2014, the U.S. Geological Survey began construction of a groundwater-flow model as a tool for the assessment of groundwater availability in the Ozark Plateaus aquifer system. The model was developed to benefit concurrent and future investigations involving groundwater-pumping scenarios, optimization, particle transport, and groundwater-monitoring network analysis.
The groundwater model simulates 116 years (1900–2015) of hydrologic conditions and the response of the groundwater system to changes in stress including changes in recharge and groundwater pumping for water supply. Semiseasonal stress periods were simulated from the later part of 1991 to 2015 and represent higher demand and lower recharge in the spring and summer months and lower demand and higher recharge in the fall and winter months. Groundwater pumping increases throughout the simulation period with a maximum rate of about 600 million gallons per day (Mgal/d).
The process of matching historical hydrologic data for the Ozark Plateaus aquifer system model was accomplished by a combination of manual changes to parameter values and automated calibration methods. Observation data used in the development and evaluation of the model included 19,045 hydraulic-head observations from 6,683 wells within the model area. Observation data also included stream leakage estimates summed to calculate a net gain or net loss value for approximately 81 named streams.
The majority (mean of over 95 percent) of the recharge component is discharged through streams simulated in the model. The total simulated discharge to streams fluctuates seasonally between 7,500 and 17,500 Mgal/d with a mean outflow of 11,500 Mgal/d. Much of the remaining balance between modeled recharge inflows and stream outflows is made up by water moving into or out of storage in the aquifer system resulting in changes in modeled groundwater levels.
The goal of the model was to develop a model capable of suitable accuracy at regional scales. The intent was not to reproduce individual local-scale details, which are typically not possible given the uniform cell size of 1 square mile. Although the model may not represent each local-scale detail, the model can be applied for a better understanding of the regional flow system and to evaluate responses to changes in climate and groundwater pumping.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185035","collaboration":"Water Availability and Use Science Program","usgsCitation":"Clark, B.R., Richards, J.M., and Knierim, K.J., 2018, The Ozark Plateaus Regional Aquifer Study—Documentation of a groundwater-flow model constructed to assess water availability in the Ozark Plateaus: U.S. Geological Survey Report 2018–5035, 33 p., https://doi.org/10.3133/sir20185035.","productDescription":"Report: v, 33 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079993","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":352956,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5035/coverthb2.jpg"},{"id":352962,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/wausp/","text":"Water Availability and Use Science Program"},{"id":352957,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5035/sir20185035.pdf","text":"Report","size":"15.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5035"},{"id":352958,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F718350W","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW-NWT model of groundwater flow in the Ozark Plateaus aquifer system"}],"country":"United States","otherGeospatial":" Ozark Plateaus aquifer system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.3,\n 35.0333\n ],\n [\n -89.25,\n 35.0333\n ],\n [\n -89.25,\n 39.0667\n ],\n [\n -95.3,\n 39.0667\n ],\n [\n -95.3,\n 35.0333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
700 W. Research Blvd.
Fayetteville, AR 72701
Following detections of highly pathogenic (HP) influenza A viruses (IAVs) in wild birds inhabiting East Asia after the turn of the millennium, the intensity of sampling of wild birds for IAVs increased throughout much of North America. The objectives for many research and surveillance efforts were directed towards detecting Eurasian origin HP IAVs and understanding the potential of such viruses to be maintained and dispersed by wild birds. In this review, we highlight five important lessons learned from research and surveillance directed at HP IAVs in wild birds inhabiting North America: (1) Wild birds may disperse IAVs between North America and adjacent regions via migration, (2) HP IAVs can be introduced to wild birds in North America, (3) HP IAVs may cross the wild bird-poultry interface in North America, (4) The probability of encountering and detecting a specific virus may be low, and (5) Population immunity of wild birds may influence HP IAV outbreaks in North America. We review empirical support derived from research and surveillance efforts for each lesson learned and, furthermore, identify implications for future surveillance efforts, biosecurity, and population health. We conclude our review by identifying five additional areas in which we think future mechanistic research relative to IAVs in wild birds in North America are likely to lead to other important lessons learned in the years ahead.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2018.02.002","usgsCitation":"Ramey, A.M., DeLiberto, T.J., Berhane, Y., Swayne, D.E., and Stallknecht, D.E., 2018, Lessons learned from research and surveillance directed at highly pathogenic influenza A viruses in wild birds inhabiting North America: Virology, v. 518, p. 55-63, https://doi.org/10.1016/j.virol.2018.02.002.","productDescription":"9 p.","startPage":"55","endPage":"63","ipdsId":"IP-092056","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":488759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2018.02.002","text":"Publisher Index Page"},{"id":353017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"518","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6f4e4b0da30c1bfbfa1","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":732178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLiberto, Thomas J.","contributorId":145606,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":16167,"text":"7United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, 4101 LaPorte Ave., Fort Collins, CO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":732179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhane, Yohannes","contributorId":145607,"corporation":false,"usgs":false,"family":"Berhane","given":"Yohannes","email":"","affiliations":[{"id":16168,"text":"National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, R3L 3M4, Canada","active":true,"usgs":false}],"preferred":false,"id":732180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayne, David E.","contributorId":86218,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":732181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":732182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196282,"text":"70196282 - 2018 - Anthropocene landscape change and the legacy of nineteenth- and twentieth-century mining in the Fourmile Catchment, Colorado Front Range","interactions":[],"lastModifiedDate":"2018-06-12T13:45:59","indexId":"70196282","displayToPublicDate":"2018-03-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"Anthropocene landscape change and the legacy of nineteenth- and twentieth-century mining in the Fourmile Catchment, Colorado Front Range","docAbstract":"Human impacts on earth surface processes and materials are fundamental to understanding the proposed Anthropocene epoch. This study examines the magnitude, distribution, and long-term context of nineteenth- and twentieth-century mining in the Fourmile Creek catchment, Colorado, coupling airborne LiDAR topographic analysis with historical documents and field studies of river banks exposed by 2013 flooding. Mining impacts represent the dominant Anthropocene landscape change for this basin. Mining activity, particularly placer operations, controls floodplain stratigraphy and waste rock piles related to mining cover >5% of hillslopes in the catchment. Total rates of surface disturbance on slopes from mining activities (prospecting, mining, and road building) exceed pre-nineteenth-century rates by at least fifty times. Recent flooding and the overprint of human impacts obscure the record of Holocene floodplain evolution. Stratigraphic relations indicate that the Fourmile valley floor was as much as two meters higher in the past 2,000 years and that placer reworking, lateral erosion, or minor downcutting dominated from the late Holocene to present. Concentrations of As and Au in the fine fraction of hillslope soil, mining-related deposits, and fluvial deposits serve as a geochemical marker of mining activity in the catchment; reducing As and Au values in floodplain sediment will take hundreds of years to millennia. Overall, the Fourmile Creek catchment provides a valuable example of Anthropocene landscape change for mountainous regions of the Western United States, where hillslope and floodplain markers of human activity vary, high rates of geomorphic processes affect mixing and preservation of marker deposits, and long-term impact varies by landscape location.
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We investigated the phenology, availability, and mechanistic relationships of calcium, phosphorus, magnesium, sodium, potassium, iron, manganese, copper, and zinc in three species of woody browse, three species of graminoids, and one forb preferred by caribou over two transects bisecting the ranges of the Central Arctic (CAH) and Western Arctic (WAH) caribou herds in Alaska. Transects traversed three ecoregions (Coastal Plain, Arctic Foothills and Brooks Range) along known migration paths in the summer ranges of both herds. Concentrations of mineral in forages were compared to estimated dietary requirements of lactating female caribou. Spatial distribution of the abundance of minerals in caribou forage was associated with interactions of soil pH and mineral content, while temporal variation was related to plant maturity, and thus nitrogen and fiber content of forages. Concentrations of sodium were below caribou requirements in all forage species for most of the summer and adequate only on the Coastal Plain during the second half of summer. Phosphorus declined in plants from emergence to senescence and was below requirements in all forages by mid‐summer, while concentrations of copper declined to marginal concentrations at plant senescence. Interactions of sodium with potassium, calcium with phosphorus, and copper with zinc in forages likely exacerbate the constraints of low concentrations sodium, phosphorus, and copper. Forages on the WAH contained significantly more phosphorus and copper than forages collected on the CAH transect. We suspect that migrations of caribou to the Arctic Coastal Plain may allow parturient females to replenish sodium stores depleted by foraging inland through the long arctic winters, while also extending the availability of adequate phosphorus, if animals are able to selectively track emerging waves of forage.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2160","usgsCitation":"Oster, K.W., Barboza, P., Gustine, D.D., Joly, K., and Shively, R.D., 2018, Mineral constraints on arctic caribou (Rangifer tarandus): a spatial and phenological perspective: Ecosphere, v. 9, no. 3, e02160; 17 p., https://doi.org/10.1002/ecs2.2160.","productDescription":"e02160; 17 p.","ipdsId":"IP-088797","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2160","text":"Publisher Index Page"},{"id":352983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.7734375,\n 68.57644086491786\n ],\n [\n -148.18359375,\n 68.57644086491786\n ],\n [\n -148.18359375,\n 71.42017915498717\n ],\n [\n -162.7734375,\n 71.42017915498717\n ],\n [\n -162.7734375,\n 68.57644086491786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfab","contributors":{"authors":[{"text":"Oster, K. W.","contributorId":203677,"corporation":false,"usgs":false,"family":"Oster","given":"K.","email":"","middleInitial":"W.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":732080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, P.S.","contributorId":44261,"corporation":false,"usgs":true,"family":"Barboza","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":732081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","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":732082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":732083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shively, R. D.","contributorId":203679,"corporation":false,"usgs":false,"family":"Shively","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":36683,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":732084,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}