Since the 1970s, the Central Valley of California has seen a large investment in preservation and restoration of wetlands and riparian areas. At the same time, grasslands have been lost to vineyards, orchards, and residential development at an accelerating rate. We analyzed data from 17 Christmas Bird Count circles that were surveyed regularly between winter 1978–79 and winter 2013–14 to document population trends for birds wintering in this region. We selected 112 taxa (species or species groups) that were relatively abundant and widespread in the Central Valley during winter and used a hierarchical model to estimate annual rates of population change from the count data while accounting for varying survey effort. A much larger proportion of taxa showed positive (46%) than negative (18%) trends; about a third (36%) showed no detectable change. Central Valley habitats that showed the highest proportion of taxa with increasing vs. decreasing trends were riparian (59% vs. 9%; n = 32), wetlands (49% vs. 11%; n = 47), and open water (44% vs. 0%; n = 9), likely reflecting the conservation efforts in these habitats in recent decades. In contrast, a greater proportion of the taxa associated with grasslands and other open habitats (n = 25) showed decreases (48%) than increases (28%). As expected, species that adapt well to areas of human habitation showed stable or increasing trends. Examples of such species with strong positive trends include Anna's Hummingbird (Calypte anna), Black Phoebe (Sayornis nigricans) and recent Central Valley arrivals, Eurasian Collared-Dove (Streptopelia decaocto) and Great-tailed Grackle (Quiscalus mexicanus). Scavenging, opportunistic species such as Turkey Vulture (Cathartes aura) and Common Raven (Corvus corax) also showed strong positive trends. Trends in wintering populations were largely concordant with estimated trends available from breeding areas in California and western North America. Overall, these abundance data suggest that recent efforts to preserve and restore wetland and riparian habitats may be benefiting birds. However, a similar focus on conservation of the Central Valley's remaining grasslands may be needed to maintain populations of grassland-associated birds.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trends and Traditions: Avifaunal Change in Western North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Western Field Ornithologists","doi":"10.21199/SWB3.12","collaboration":"Western Field Ornithologists","usgsCitation":"Pandolfino, E.R., and Handel, C.M., 2018, Population trends of birds wintering in the Central Valley of California, chap. of Trends and Traditions: Avifaunal Change in Western North America, v. 3, p. 215-235, https://doi.org/10.21199/SWB3.12.","productDescription":"21 p.","startPage":"215","endPage":"235","ipdsId":"IP-096037","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":488979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21199/swb3.12","text":"Publisher Index Page"},{"id":365081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pandolfino, Edward R","contributorId":209700,"corporation":false,"usgs":false,"family":"Pandolfino","given":"Edward","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":748594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237022,"text":"70237022 - 2018 - Quantifying the effect of beating inferred from recorded responses of tall buildings","interactions":[],"lastModifiedDate":"2022-09-28T16:43:47.384552","indexId":"70237022","displayToPublicDate":"2018-12-31T11:42:42","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantifying the effect of beating inferred from recorded responses of tall buildings","docAbstract":"The beating phenomenon observed in recorded earthquake responses of a tall building in Japan and of two others buildings in the U.S. are examined in this paper. The objective of the paper is to discuss the significance of beating and to estimate what percentage of total shaking energy impacting a building is contributed by beating when it occurs. Beating is prominent in the prolonged resonant responses of lightly damped structures and is a periodic vibrational behavior caused by distinctive coupling between translational and torsional modes that typically have close frequencies. Resonances from site effects may also enhance beating. Spectral analyses and system identification techniques are used herein to quantify the periods and amplitudes of the beating from strong-motion recordings of the three buildings. Quantification of beating is a first step towards determining remedial actions to improve building resilience to this phenomenon. It is shown by the analysis presented in this paper that the ratio of additional vibrational energy of a building exhibiting beating with respect to a postulated zero beating status can be as much as 105% depending on the building and the strong shaking record. Hence, beating should be considered during design and analyses process. Alternatively, remedies maybe implemented for existing buildings.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 11th national conference in earthquake engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th National Conference on Earthquake Engineering 2018 (11NCEE): Integrating Science, Engineering, & Policy","conferenceDate":"Jun 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Celebi, M., 2018, Quantifying the effect of beating inferred from recorded responses of tall buildings, in Proceedings of the 11th national conference in earthquake engineering, Los Angeles, CA, Jun 25-29, 2018, 12 p.","productDescription":"12 p.","ipdsId":"IP-089453","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407520,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eeri.org/about-eeri/news/4631-5611ncee-papers-presentations-view-online"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":853102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70217704,"text":"70217704 - 2018 - Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies","interactions":[],"lastModifiedDate":"2021-02-08T17:30:57.857317","indexId":"70217704","displayToPublicDate":"2018-12-31T11:28:17","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies","docAbstract":"Permafrost is found throughout northern latitudes, and hasfar reaching implications for natural and man-made environments including hydrologic processes, landscape dynamics, ecosystems, and infrastructure. While maps of near-surface permafrost characteristics are available, relatively little is known about permafrost distributions at depth over large areas. Here, we summarize several frequency domain airborne electromagnetic (AEM) surveys acquired within interior Alaska from 2006 –2016 that were collected to improveunderstanding ofpermafrost and geological controls on hydrologic processes and infrastructure. Results of the AEM surveys are supported by both hydrogeophysical numerical models and ground-based geophysical observations.
","conferenceTitle":"7th International Workshop on Airborne Electromagnetics","conferenceDate":"June 17-20, 2018","conferenceLocation":"Kolding, Denmark","language":"English","publisher":"Aarhus University","usgsCitation":"Minsley, B.J., Emond, A.M., Rey, D., and Daanen, R., 2018, Airborne electromagnetic imaging of permafrost for hydrologic and infrastructure studies, 7th International Workshop on Airborne Electromagnetics, Kolding, Denmark, June 17-20, 2018, 3 p.","productDescription":"3 p.","ipdsId":"IP-095924","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":383103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383102,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conferencemanager.dk/aem2018"}],"country":"United 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Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":809289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emond, Abraham M.","contributorId":216313,"corporation":false,"usgs":false,"family":"Emond","given":"Abraham","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":809290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daanen, Ronald","contributorId":191060,"corporation":false,"usgs":false,"family":"Daanen","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":809292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198416,"text":"70198416 - 2018 - A regional analysis of long-term gray and harbor seal stranding events","interactions":[],"lastModifiedDate":"2020-12-10T16:32:39.915725","indexId":"70198416","displayToPublicDate":"2018-12-31T10:24:35","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A regional analysis of long-term gray and harbor seal stranding events","docAbstract":"Strong indicators of species’ sensitivity, adaptive capacity, and overall vulnerability to climate change are provided by changes in phenology, the timing of recurring life events (Parmesan and Yohe, 2003). We possess poor information on climate induced shifts in phenology of marine organisms, especially top predators. The Gulf of Maine (GOM) Seasonal Migrants Project is an ongoing effort to determine the phenological changes occurring in the GOM across marine mammals, sea turtles, and other marine species of conservation concern. As part of that study, stranding data of injured or dead animals was explored for its utility to serve as supplemental data to amend more traditional survey data where observations are scarce.
NOAA’s Greater Atlantic Region Marine Mammal Stranding Network Database was examined for its utility as a potential long-term time series for the evaluation of phenological patterns and shifts. Although records from stranding events represent sick or injured animals, these data have been found to be reasonably comparable to survey data and provide useful information on species’ distribution, abundance, and foraging ecology (Maldini et al., 2005; Staudinger et al., 2014; Johnston et al., 2012, 2015). In this study, we focused on stranding data of two marine mammal species, harbor seals (Phoca vitulina) and gray seals (Halichoerus grypus). It was anticipated these data would also be good indicators of the areas and habitats that seal populations use on a seasonal and annual basis in the region. Viable stranding data from Maine to North Carolina included 1,571 gray seals and 4,399 harbor seals from 2001 to 2015. This paper presents a summary of the spatial and temporal patterns of these data, and suggests their suitability as supplemental data to other GOM marine species phenological studies, such as the North Atlantic Right Whale Consortium database modeling efforts.
","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Jones, K.M., and Staudinger, M., 2018, A regional analysis of long-term gray and harbor seal stranding events, 18 p.","productDescription":"18 p.","ipdsId":"IP-098831","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381199,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.umass.edu/necsc/biblio/regional-analysis-long-term-gray-and-harbor-seal-stranding-events"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Katharine M. L.","contributorId":245633,"corporation":false,"usgs":false,"family":"Jones","given":"Katharine","email":"","middleInitial":"M. L.","affiliations":[],"preferred":false,"id":806669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staudinger, Michelle","contributorId":206654,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":741371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209729,"text":"70209729 - 2018 - The 3D elevation program","interactions":[],"lastModifiedDate":"2020-04-23T15:20:43.052483","indexId":"70209729","displayToPublicDate":"2018-12-31T10:19:25","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"The 3D elevation program","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Digital elevation model technologies and applications : the DEM users manual","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"ASPRS","usgsCitation":"Stoker, J.M., Lukas, V., Jason, A.L., Eldridge, D.F., and Sugarbaker, L.J., 2018, The 3D elevation program, chap. 5 of Digital elevation model technologies and applications : the DEM users manual.","ipdsId":"IP-081117","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":374223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":787689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lukas, Vicki 0000-0002-3151-6689 vlukas@usgs.gov","orcid":"https://orcid.org/0000-0002-3151-6689","contributorId":2890,"corporation":false,"usgs":true,"family":"Lukas","given":"Vicki","email":"vlukas@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":787690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jason, Allyson L. 0000-0001-5590-3766 ajason@usgs.gov","orcid":"https://orcid.org/0000-0001-5590-3766","contributorId":224300,"corporation":false,"usgs":true,"family":"Jason","given":"Allyson","email":"ajason@usgs.gov","middleInitial":"L.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":787691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eldridge, Diane F. 0000-0002-2821-6239 deldridge@usgs.gov","orcid":"https://orcid.org/0000-0002-2821-6239","contributorId":196409,"corporation":false,"usgs":true,"family":"Eldridge","given":"Diane","email":"deldridge@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":787692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sugarbaker, Larry J. 0000-0002-5720-0738 lsugarbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-5720-0738","contributorId":224301,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":787693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222618,"text":"70222618 - 2018 - Validating ground-motion simulations on rough faults in complex 3D media","interactions":[],"lastModifiedDate":"2021-08-10T11:35:30.321721","indexId":"70222618","displayToPublicDate":"2018-12-31T09:05:35","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Validating ground-motion simulations on rough faults in complex 3D media","docAbstract":"We utilize a two-step process to validate 0-4 Hz ground motion simulations using the 1989 Loma Prieta earthquake. In the first step we run multiple realizations using the Graves and Pitarka hybrid method as implemented on the SCEC Broadband Simulation Platform and compare these with near-fault (R < 40 km) recorded motions. A total of 648 rupture scenarios are examined and from these results we select the best fitting ruptures, which are then used in the second step of the validation. This second step consists of running 3D simulations using a finely sampled seismic velocity mesh. The base 3D structure is obtained from the USGS SF Bay Area velocity model, which is also modified to include small-scale 3D stochastic perturbations. The 3D results are compared with the recorded motions and show very good agreement over the frequency band 0-4 Hz for distances out to 40 km. Most importantly, the newly added features to the simulation process reduce the coherency of the radiated higher frequency (f > 1 Hz) ground motions, and homogenize radiation-pattern effects in this same bandwidth, bringing the simulations into closer agreement with the very near-fault records.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of eleventh U.S. national conference on earthquake engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th National Conference on Earthquake Engineering 2018 (11NCEE): Integrating Science, Engineering, & Policy","conferenceDate":"June 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Graves, R., and Pitarka, A., 2018, Validating ground-motion simulations on rough faults in complex 3D media, in Proceedings of eleventh U.S. national conference on earthquake engineering, Los Angeles, CA, June 25-29, 2018, p. 4120-4129.","productDescription":"10 p","startPage":"4120","endPage":"4129","ipdsId":"IP-096616","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitarka, Arben","contributorId":184062,"corporation":false,"usgs":false,"family":"Pitarka","given":"Arben","email":"","affiliations":[],"preferred":false,"id":820780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208483,"text":"70208483 - 2018 - Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","interactions":[],"lastModifiedDate":"2020-02-12T07:00:44","indexId":"70208483","displayToPublicDate":"2018-12-31T06:59:56","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","docAbstract":"Geoscience Australia has recently released its 2018 National Seismic Hazard Assessment (NSHA18). Results from the NSHA18 indicate significantly lower seismic hazard across almost all Australian localities at the 1/500 annual exceedance probability level relative to the factors adopted for the current Australian Standard AS1170.4–2007 (R2018). These new hazard estimates, coupled with larger probability factors (kp) for long return periods, have challenged notions of seismic hazard in Australia in terms of the recurrence of damaging ground motions. As a consequence, the new hazard estimates have raised questions over the appropriateness of the prescribed National Construction Code probability level as used in the AS1170.4 to determine appropriate seismic demands for the design of ordinary-use structures. Therefore, it is suggested that the ground-motion exceedance probability used in the current AS1170.4 be reviewed in light of the recent hazard assessment and the expected performance of modern buildings for rarer ground motions.\nWhilst adjusting the AS1170.4 exceedance probability level would be a major departure from previous earthquake loading standards, it would bring it into line with other international building codes in similar tectonic environments. Additionally, it would offer opportunities to further modernise how seismic demands are considered in Australian building design. In particular, the authors highlight the following additional opportunities: 1) the use of uniform hazard spectra to replace and simplify the spectral shape factors, which do not deliver uniform hazard across all natural periods; 2) updated site amplification factors to ensure continuity with modern ground-motion models, and; 3) the potential to define design ground motions in terms of uniform collapse risk rather than uniform hazard.\nEstimation of seismic hazard at any location is an uncertain science. However, as our knowledge improves, our estimates of the hazard will converge more closely to the actual – but unknowable – (time independent) hazard. It is therefore prudent to regularly update the estimates of the seismic demands in our building codes using the best available evidence-based methods and models.","conferenceTitle":"Australian Earthquake Engineering Society 2018 Conference","conferenceDate":"November 16-18, 2018","conferenceLocation":"Perth, AU","language":"English","publisher":"Australian Earthquake Engineering Society","usgsCitation":"Allen, T., and Luco, N., 2018, Opportunities to enhance seismic demand parameters for future editions of the AS1170.4, Australian Earthquake Engineering Society 2018 Conference, Perth, AU, November 16-18, 2018, 14 p.","productDescription":"14 p.","ipdsId":"IP-103256","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372242,"type":{"id":15,"text":"Index Page"},"url":"https://aees.org.au/wp-content/uploads/2019/12/01-Trevor-Allen.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":782080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204436,"text":"70204436 - 2018 - Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina","interactions":[],"lastModifiedDate":"2019-07-25T12:41:54","indexId":"70204436","displayToPublicDate":"2018-12-29T12:41:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina","docAbstract":"Forest fragmentation in agroecosystems is linked to declines of avian species worldwide. Agriculture has greatly reduced native forest cover in east-central Argentina. Assessing the influence of fragmentation on forest bird populations is vital to inform reliable conservation and management strategies for the Espinal region of Argentina. We determined the relationships of vegetation structure within native forest patches, size and shape of these patches (patch scale), composition and spatial configuration (at landscape scale) to relative abundance of 17 forest bird species during austral fall-winter and spring-summer seasons. Birds were sampled from 2007 – 2009 in 45 forest patches within three landscape mosaics (30x30 km) representing a gradient of native forest fragmentation in east-central Argentina. We used an information-theoretic approach and approximated model inference to examine the effect of predictor environmental variables at two spatial scales on patterns of forest bird abundance. Density of trees within forest patches was the main predictor of bird abundance at the patch scale. Amount of forest and spatial configuration were also important. The abundance of several bird species was greater in patches with high density of trees and landscapes characterized by more forest cover and larger patches in close proximity. We found two main avian response patterns to forest fragmentation and patch characteristics. This information contributes reliable knowledge for the design of conservation measures of agricultural landscapes in the Espinal region of Argentina.","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-01222-130203","usgsCitation":"Vilella, F., Calamari, N., and Mercuri, P., 2018, Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina: Avian Conservation and Ecology, v. 13, no. 2, 3 p., https://doi.org/10.5751/ACE-01222-130203.","productDescription":"3 p.","ipdsId":"IP-083012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01222-130203","text":"Publisher Index Page"},{"id":365947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.5,-55.2],[-66.45,-55.25],[-66.95992,-54.89681],[-67.56244,-54.87001],[-68.63335,-54.8695],[-68.63401,-52.63637],[-68.25,-53.1],[-67.75,-53.85],[-66.45,-54.45],[-65.05,-54.7],[-65.5,-55.2]]],[[[-64.96489,-22.07586],[-64.37702,-22.79809],[-63.98684,-21.99364],[-62.84647,-22.03499],[-62.68506,-22.24903],[-60.84656,-23.88071],[-60.02897,-24.0328],[-58.80713,-24.77146],[-57.77722,-25.16234],[-57.63366,-25.60366],[-58.61817,-27.12372],[-57.60976,-27.3959],[-56.4867,-27.5485],[-55.69585,-27.38784],[-54.78879,-26.62179],[-54.62529,-25.73926],[-54.13005,-25.54764],[-53.62835,-26.12487],[-53.64874,-26.92347],[-54.49073,-27.47476],[-55.16229,-27.88192],[-56.2909,-28.85276],[-57.62513,-30.21629],[-57.87494,-31.01656],[-58.14244,-32.0445],[-58.13265,-33.04057],[-58.34961,-33.26319],[-58.42707,-33.90945],[-58.49544,-34.43149],[-57.22583,-35.28803],[-57.36236,-35.97739],[-56.73749,-36.41313],[-56.78829,-36.90157],[-57.74916,-38.18387],[-59.23186,-38.72022],[-61.23745,-38.92842],[-62.33596,-38.82771],[-62.12576,-39.4241],[-62.33053,-40.17259],[-62.14599,-40.6769],[-62.7458,-41.02876],[-63.77049,-41.16679],[-64.73209,-40.80268],[-65.11804,-41.06431],[-64.97856,-42.058],[-64.30341,-42.35902],[-63.75595,-42.04369],[-63.45806,-42.56314],[-64.3788,-42.87356],[-65.1818,-43.49538],[-65.32882,-44.50137],[-65.56527,-45.03679],[-66.50997,-45.03963],[-67.29379,-45.5519],[-67.58055,-46.30177],[-66.59707,-47.03392],[-65.64103,-47.23613],[-65.98509,-48.13329],[-67.16618,-48.69734],[-67.81609,-49.86967],[-68.72875,-50.26422],[-69.13854,-50.73251],[-68.81556,-51.7711],[-68.14999,-52.34998],[-68.57155,-52.29944],[-69.49836,-52.14276],[-71.9148,-52.00902],[-72.3294,-51.42596],[-72.30997,-50.67701],[-72.97575,-50.74145],[-73.32805,-50.37879],[-73.41544,-49.31844],[-72.64825,-48.87862],[-72.33116,-48.24424],[-72.44736,-47.73853],[-71.91726,-46.88484],[-71.55201,-45.56073],[-71.65932,-44.97369],[-71.22278,-44.78424],[-71.3298,-44.40752],[-71.79362,-44.20717],[-71.46406,-43.78761],[-71.91542,-43.40856],[-72.1489,-42.25489],[-71.7468,-42.05139],[-71.91573,-40.83234],[-71.68076,-39.80816],[-71.41352,-38.91602],[-70.81466,-38.553],[-71.11863,-37.57683],[-71.12188,-36.65812],[-70.36477,-36.00509],[-70.38805,-35.16969],[-69.81731,-34.19357],[-69.81478,-33.27389],[-70.0744,-33.09121],[-70.53507,-31.36501],[-69.91901,-30.33634],[-70.01355,-29.36792],[-69.65613,-28.45914],[-69.00123,-27.52121],[-68.29554,-26.89934],[-68.5948,-26.50691],[-68.386,-26.18502],[-68.41765,-24.51855],[-67.32844,-24.0253],[-66.98523,-22.98635],[-67.10667,-22.73592],[-66.27334,-21.83231],[-64.96489,-22.07586]]]]},\"properties\":{\"name\":\"Argentina\"}}]}","volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calamari, N.C.","contributorId":217496,"corporation":false,"usgs":false,"family":"Calamari","given":"N.C.","email":"","affiliations":[{"id":39653,"text":"Instituto Nacional de Tecnología Agropecuaria","active":true,"usgs":false}],"preferred":false,"id":766903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercuri, P.A.","contributorId":217497,"corporation":false,"usgs":false,"family":"Mercuri","given":"P.A.","email":"","affiliations":[{"id":39653,"text":"Instituto Nacional de Tecnología Agropecuaria","active":true,"usgs":false}],"preferred":false,"id":766904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202899,"text":"70202899 - 2018 - Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands","interactions":[],"lastModifiedDate":"2019-04-05T12:46:49","indexId":"70202899","displayToPublicDate":"2018-12-28T14:10:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands","docAbstract":"Ecosystems in the southwestern U.S. are hotspots for climate change, and are predicted to experience continued warming and drying. In these water-limited systems, the balance between herbaceous and woody plant abundance impacts biodiversity and ecosystem processes, highlighting the need to understand how climate change will influence functional composition. However, variability in topo-edaphic conditions, notably soil texture and depth, as well as a long history of disturbance, confound efforts to quantify specific climatic controls over plant functional composition. Here, we utilized a mechanistic soil water model and identified the timing and depth at which soil moisture related most strongly to the balance between grass and shrub dominance in the Southern Colorado Plateau. Shrubs dominate where there is high soil moisture availability during winter, and where temperature is more seasonally variable, while grasses are favored where moisture is available during summer and temperatures are higher. Climate change projections indicate increases in seasonal temperature variability and decreases in summer soil moisture, which both favor shrub dominance. However, projections also include substantial and reliable increases in temperature, which favors grass dominance. Rising temperatures overwhelm both the soil moisture and temperature variability effects favoring shrubs such that our models indicate increasing grasses at these sites. This approach, which incorporates local, edaphic factors at sites protected from disturbance, improves understanding of climate change impacts on plant functional composition and may be useful in other complex dryland regions with high edaphic and climatic heterogeneity.","language":"English","publisher":"Springer","doi":"10.1007/s00442-018-4282-4","usgsCitation":"Gremer, J., Andrews, C.M., Norris, J.R., Thomas, L.P., Munson, S.M., Duniway, M.C., and Bradford, J.B., 2018, Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands: Oecologia, v. 188, p. 1195-1207, https://doi.org/10.1007/s00442-018-4282-4.","productDescription":"13 p.","startPage":"1195","endPage":"1207","ipdsId":"IP-095161","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":362717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.23406982421875,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 37.76202988573211\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"188","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gremer, Jennifer R.","contributorId":181751,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer R.","affiliations":[],"preferred":false,"id":760415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norris, Jodi R.","contributorId":190196,"corporation":false,"usgs":false,"family":"Norris","given":"Jodi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Lisa P.","contributorId":189631,"corporation":false,"usgs":false,"family":"Thomas","given":"Lisa","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":760419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":760420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760416,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202001,"text":"70202001 - 2018 - Coseismic sackungen in the New Madrid seismic zone, USA","interactions":[],"lastModifiedDate":"2019-02-05T10:52:25","indexId":"70202001","displayToPublicDate":"2018-12-28T10:52:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic sackungen in the New Madrid seismic zone, USA","docAbstract":"High‐resolution lidar reveals newly recognized evidence of strong shaking in the New Madrid seismic zone in the central United States. We mapped concentrations of sackungen (ridgetop spreading features) on bluffs along the eastern Mississippi River valley in northwestern Tennessee that likely form or are reactivated during large earthquakes. These sackungen are concentrated on the hanging wall of the Reelfoot reverse fault and show a preferential orientation indicating ground failure normal to fault strike. These observations suggest that the sackungen record one or more earthquakes on the southern Reelfoot fault since the deposition of the ~30‐ to 11‐ka Peoria Loess and potentially constrain the minimum intensity of near‐fault ground motion. This study demonstrates that sackungen can be used to infer fault source and mechanism and, in combination with field‐based techniques, improve paleoseismic records and seismic hazard models.
","language":"English","publisher":"AGU","doi":"10.1029/2018GL080493","usgsCitation":"Delano, J.E., Gold, R.D., Briggs, R.W., and Jibson, R.W., 2018, Coseismic sackungen in the New Madrid seismic zone, USA: Geophysical Research Letters, v. 45, no. 24, p. 13258-13268, https://doi.org/10.1029/2018GL080493.","productDescription":"11 p.","startPage":"13258","endPage":"13268","ipdsId":"IP-103137","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468172,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl080493","text":"Publisher Index Page"},{"id":437639,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RFHA23","text":"USGS data release","linkHelpText":"Data Set S1 for "Coseismic Sackungen in the New Madrid Seismic Zone, USA""},{"id":361010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New Madrid Seismic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5833,\n 36\n ],\n [\n -89.1667,\n 36\n ],\n [\n -89.1667,\n 36.5\n ],\n [\n -89.5833,\n 36.5\n ],\n [\n -89.5833,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203067,"text":"70203067 - 2018 - Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","interactions":[],"lastModifiedDate":"2019-04-17T08:47:50","indexId":"70203067","displayToPublicDate":"2018-12-27T08:47:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","docAbstract":"Remote sensing has become an increasingly viable tool for characterizing fluvial systems. In this study, we used field measurements from a 1.6 km reach of the upper Sacramento River, CA, to evaluate the potential of mapping water depths from a range of platforms, sensors, and depth retrieval methods. Field measurements of water column optical properties also were compared to similar data sets from other rivers to provide context for our results. We considered field spectra, a multispectral satellite image, hyperspectral data collected from conventional and unmanned aircraft, and a bathymetric LiDAR and applied a generalized version of Optimal Band Ratio Analysis (OBRA) and the K nearest neighbors regression (KNN) machine learning algorithm. Linear, quadratic, exponential, power, and lowess OBRA models enabled more flexible curve-fitting in calibrating spectrally based quantities to depth; an exponential formulation avoided artifacts associated with other model types. KNN increased observed vs. predicted R2 values, particularly for the satellite image; we also found that pre-processing of satellite images was unnecessary and that a basic data product could be used for depth retrieval. Bathymetric LiDAR was highly accurate and precise in shallow water, but a lack of bottom returns from areas greater than 2 m deep resulted in large gaps in coverage. The maximum detectable depth imposes an important constraint on fluvial remote sensing and a hybrid approach combined with field surveys of deep areas might be a more realistic operational strategy for bathymetric mapping. Future work will focus on scaling up from short reaches to long river segments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023586","usgsCitation":"Legleiter, C.J., and Harrison, L.R., 2018, Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA: Water Resources Research, v. 55, no. 3, p. 2142-2169, https://doi.org/10.1029/2018WR023586.","productDescription":"18 p.","startPage":"2142","endPage":"2169","ipdsId":"IP-098349","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468174,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53803","text":"External Repository"},{"id":437640,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q52NZ1","text":"USGS data release","linkHelpText":"Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California"},{"id":362993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.38254547119139,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 40.514973694087224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":761024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202521,"text":"70202521 - 2018 - Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2019-03-07T10:00:40","indexId":"70202521","displayToPublicDate":"2018-12-22T10:00:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","docAbstract":"A time series of three closely-spaced data sets are used to track the early expansion of the invasive Japanese benthic foraminifera Trochammina hadai in the southern portion of San Francisco Bay known as South Bay. The species initially appeared in 1983, comprising only 1.5% of the assemblage in one of four samples that were dominated by the native species Ammonia tepida and Cribroelphidium excavatum (means = 60.2% and 33.8%, respectively). By 1986, census counts and R- andQ-mode cluster analyses document the explosive growth of the invasive as T. hadai now dominates the assemblage (mean = 42.7%;max = 88.7%)with associated declines in abundance of A. tepida (by greater than one-half; mean = 26.8%) and C. excavatum (by greater than one-third; mean = 20.6%). The invasive continued to dominant the assemblage in 1987, spreading even further to the north and south in South Bay, although its average abundance dropped slightly (~2%) as did those of A. tepida (~3%) and C. excavatum (0.4%). A rare increase in abundance of Elphidiella hannai and the appearance of numerous coastalmarine species in the central portion of the bay are thought to be the result of an incursion ofmarine waters into South Bay due to the prevalent drought conditions in 1987. Clearly, the rapid decline in abundance of the formerly dominant species A. tepida and C. excavatum in South Bay from 1983 to 1986 that continued into 1987 suggests the introduction of T. hadai in the bay severely impacted the native population.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"McGann, M., 2018, Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA: Micropaleontology, v. 64, no. 5-6, p. 365-378.","productDescription":"14 p.","startPage":"365","endPage":"378","ipdsId":"IP-084633","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-344/article-2085"}],"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 -122.82714843749999,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 37.36579146999664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"5-6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","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":758915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200892,"text":"sir20185156 - 2018 - Updates to the suspended sediment SPARROW model developed for western Oregon and northwestern California","interactions":[],"lastModifiedDate":"2021-10-25T19:46:26.14728","indexId":"sir20185156","displayToPublicDate":"2018-12-21T12:16:50","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":"2018-5156","displayTitle":"Updates to the Suspended Sediment SPARROW Model Developed for Western Oregon and Northwestern California","title":"Updates to the suspended sediment SPARROW model developed for western Oregon and northwestern California","docAbstract":"A SPARROW (SPAtially Related Regressions On Watershed attributes) model that was previously developed for western Oregon and northwestern California was updated using advancements in the SPARROW software and refinements to the input data. As was the case for the original model calibration, the updated models used the NHD Plus Version 2 as a hydrologic framework and relied on the same estimates of long-term mean suspended-sediment loads and watershed attributes. The updated calibration results indicated that two different SPARROW models were possible—one model from which sediment sources were represented by local lithology and one from which sediment sources were represented by generalized land-cover classes; precipitation, catchment slope, wildfire disturbance, and sediment loss in impoundments were significantly correlated with suspended-sediment loads in both models. The updated models also included a method to compensate for the bias introduced by using total suspended solids to represent suspended sediment in the calibration dataset—a feature that was not available during the original model calibration. The effect of this feature was an overall increase in estimated suspended-sediment loads. Although the lithology- and the land-cover based models used different landscape properties to describe sediment sources, each could be useful in specific applications. The lithology-based model provides more accurate estimates of suspended-sediment load, but the land-cover based model allows water-quality managers to estimate how much in-stream suspended-sediment load originates in areas with extensive development compared to the load that originates in areas with relatively little human impact.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185156","usgsCitation":"Wise, D.R., 2018, Updates to the suspended sediment SPARROW model developed for western Oregon and northeastern California: U.S. Geological Survey Scientific Investigations Report 2018–5156, 23 p., https://doi.org/10.3133/sir20185156.","productDescription":"Report: v, 23 p.; Appendix; Data Release","onlineOnly":"Y","ipdsId":"IP-093497","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":360706,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XVX2SM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Predictions from the updated SPARROW suspended sediment models developed for western Oregon and northwestern California"},{"id":360705,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5156/sir20185156_appendix01.xlsx","text":"Appendix 1","size":"34 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018-5156 Appendix 1"},{"id":360704,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5156/sir20185156.pdf","text":"Report","size":"16.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5156"},{"id":360703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5156/coverthb.jpg"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.62890625,\n 40\n ],\n [\n -120.5,\n 40\n ],\n [\n -120.5,\n 46.3\n ],\n [\n -124.62890625,\n 46.3\n ],\n [\n -124.62890625,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The palila (Loxioides bailleui) population was surveyed annually from 1998–2018 on Mauna Kea Volcano
to determine abundance, population trend, and spatial distribution. In the latest surveys, the 2017
population was estimated at 1,177−1,813 birds (point estimate: 1,461) and the 2018 population was
estimated at 778−1,420 (point estimate: 1,051). Only two palila were detected outside the core survey
area during a mountain-wide survey in 2017, suggesting that most, if not all, palila inhabit the western
slope during the annual survey period. Since 1998, the size of the area containing palila detections on
the western slope did not show a significant change, suggesting that the range of the species has
remained stable; although this area represents only about 5% of its historical extent. During 1998−2003,
palila numbers fluctuated moderately (coefficient of variation [CV] = 0.20). After peaking in 2003,
population estimates declined steadily through 2011; since 2010, estimates have continued to decline at
a slower rate. The average rate of decline during 1998−2018 was 168 birds per year with very strong
statistical support for an overall declining trend in abundance. Over the 21-year monitoring period, the
estimated rate of change equated to a 76% decline in the population.
On the Western Slope of Colorado, variable climate and precipitation conditions are typical. Periods of drought—which may be defined by lack of water, high temperatures, low soil moisture, or other indicators—cause a range of impacts across sectors, including water, land, and fire management.
The Western Slope’s Upper Colorado River Basin (UCRB) was one of the first pilot areas in which the National Integrated Drought Information System (NIDIS) implemented a drought early warning system (DEWS) in 2009. NIDIS presently supports eight regional DEWS; as of 2016, the UCRB DEWS has been incorporated into an expanded Intermountain West (IMW) DEWS. The selection of the UCRB for an initial DEWS reflects the regional importance of drought information for managing water supply for agriculture and other uses, and the need for effective decision support related to drought. Additionally, new drought information products were developed specifically for the UCRB DEWS, and a number of others have been created since 2009, adding to the preexisting toolkit for drought decision making.
The various elements of the UCRB drought early warning system can be expected to be more or less suitable for the needs of different decision makers. As a result, the UCRB makes an ideal case study to examine the use of scientific information products and tools in which the broad decision context (managing drought) is defined, but information needs of current and prospective users vary. Thus decision makers will make varied choices about which of the available tools to use or not use, depending on the particular management and institutional context in which they work. This report investigates the factors that affect the choices of decision makers about whether and how to use particular information sources, products, and tools. The investigation focused on the following research questions:
Studies of decision support tools or information sources often concentrate on the known users of a given tool(s). Such an approach can yield useful information; it provides rich insight into the experiences of users and can suggest design modifications to make existing tools more effective. Yet it is not an effective approach to capture the perspectives and needs of prospective tool users or to investigate the factors that affect whether or not someone chooses to use tools in the first place. To overcome this challenge, in this study the author instead used a geographically based sampling strategy in which a range of natural resource managers from preidentified Federal management units and selected State agencies on the Western Slope were considered prospective users of tools. Prospective users were then asked to describe in an open-ended fashion what information and tools they do or do not use and why. This approach allowed for respondents to report both use and nonuse of tools, and thus the ability to identify factors that influence information and tool use choices by managers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181173","usgsCitation":"Cravens, A.E., 2018, How and why Upper Colorado River Basin land, water, and fire managers choose to use drought tools (or not): U.S. Geological Survey Open-File Report 2018–1173, 60 p., https://doi.org/10.3133/ofr20181173.","productDescription":"vi, 60 p.","onlineOnly":"Y","ipdsId":"IP-091495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":360635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1173/ofr20181173.pdf","text":"Report","size":"2.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1173"},{"id":360592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1173/coverthb.jpg"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118
Wastewater disposal is generally accepted to be the primary cause of the increased seismicity rate in Oklahoma within the past decade, but no statewide analysis has investigated the contribution of hydraulic fracturing (HF) to the observed seismicity or the seismic hazard. Utilizing an enhanced seismicity catalog generated with multi‐station template matching from 2010‐2016 and all available hydraulic fracturing information, we identified 274 HF wells that are spatiotemporally correlated with bursts of seismicity. The majority of HF induced seismicity cases occurred in the SCOOP/STACK plays, but we also identified prominent cases in the Arkoma Basin as well as some more complex potential cases along the edge of the Anadarko Platform. For HF treatments where we have access to injection parameters, modeling suggests poroelastic stresses are likely responsible for seismicity, but we cannot rule out direct pore pressure effects as a contributing factor. In all of the 16 regions we identified, ≥75% of the seismicity correlated with reported HF wells. In some regions, >95% of seismicity correlated with HF wells and >50% of the HF wells correlated with seismicity. Overall, we found ~700 HF induced earthquakes with M ≥ 2.0, including 12 events with M 3.0‐3.5. These findings suggest state regulations implemented in 2018 that require operators in the SCOOP/STACK plays to take action if a M > 2 earthquake occurs could have a significant impact on future operations.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016790","usgsCitation":"Skoumal, R.J., Ries, R., Brudzinski, M.R., Barbour, A.J., and Currie, B.S., 2018, Earthquakes induced by hydraulic fracturing are pervasive in Oklahoma: Journal of Geophysical Research B: Solid Earth, v. 123, no. 12, p. 10918-10935, https://doi.org/10.1029/2018JB016790.","productDescription":"18 p.","startPage":"10918","endPage":"10935","ipdsId":"IP-101853","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016790","text":"Publisher Index Page"},{"id":360647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 33.75\n ],\n [\n -94.5,\n 33.75\n ],\n [\n -94.5,\n 37.5\n ],\n [\n -100,\n 37.5\n ],\n [\n -100,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","scienceBaseUri":"5c1cb85be4b0708288c83806","contributors":{"authors":[{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":754825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ries, Rosamiel","contributorId":211773,"corporation":false,"usgs":false,"family":"Ries","given":"Rosamiel","email":"","affiliations":[{"id":38316,"text":"Miami University, Oxford, Ohio","active":true,"usgs":false}],"preferred":false,"id":754826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brudzinski, Michael R. 0000-0003-1869-0700","orcid":"https://orcid.org/0000-0003-1869-0700","contributorId":207880,"corporation":false,"usgs":false,"family":"Brudzinski","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":754827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":197158,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","email":"abarbour@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":754828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currie, Brian S.","contributorId":207881,"corporation":false,"usgs":false,"family":"Currie","given":"Brian","email":"","middleInitial":"S.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":754829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201668,"text":"70201668 - 2018 - Ground motions from induced earthquakes in Oklahoma and Kansas","interactions":[],"lastModifiedDate":"2019-01-28T08:20:01","indexId":"70201668","displayToPublicDate":"2018-12-20T15:19:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Ground motions from induced earthquakes in Oklahoma and Kansas","docAbstract":"Improved predictions of earthquake ground motions are critical to advancing seismic hazard analyses and earthquake response. The high seismicity rate from 2009 to 2016 in Oklahoma and Kansas provides an extensive data set for examining the ground motions from these events. We evaluate the ability of three suites of ground‐motion prediction equations (GMPEs)—appropriate for modeling tectonic earthquakes in active crustal and stable continental regions—to reproduce the observed ground motions. Mixed‐effects regressions are used to separate the ground‐motion residuals into bias, between‐event, and within‐event terms. Although the residuals depict differing accuracies in the ability of the three GMPE suites to predict the ground motions, some consistent trends emerge in the period, magnitude, and distance dependence. The trends suggest that aspects of the ground motions from these induced earthquakes are not well modeled by current tectonic GMPEs. Most important, we find evidence for relatively poor overall fit to the ground motions, by all of the GMPE suites, at periods less than about 0.2 s and above 3 s, greater‐than‐predicted magnitude scaling for small to moderate‐magnitude events (
Understanding the relationship between environmental factors and vital rates is an important step in predicting a species’ response to environmental change. Species associated with sea ice are of particular concern because sea ice is projected to decrease rapidly in polar environments with continued levels of greenhouse gas emissions. The relationship between sea ice and the vital rates of the Spectacled Eider, a threatened species that breeds in Alaska and Russia and winters in the Bering Sea, appears to be complex. While severe ice can impede foraging for benthic prey, ice also suppresses wave action and provides a platform on which eiders roost, thereby reducing thermoregulation costs. We analyzed a 23‐year mark‐recapture dataset for Spectacled Eiders nesting on Kigigak Island in western Alaska, and tested survival models containing different ice and weather‐related covariates. We found that much of the variation in eider survival could be explained by the number of days per year with >95% sea ice concentration at the Bering Sea core wintering area. Furthermore, the data supported a quadratic relationship with sea ice rather than a linear one, indicating that intermediate sea ice concentrations were optimal for survival. We then used matrix population models to project population trajectories using General Circulation Model (GCM) outputs of daily sea ice cover. GCMs projected reduced sea ice at the wintering area by year 2100 under a moderated emissions scenario (RCP 4.5) and nearly ice‐free conditions under an unabated emissions scenario (RCP 8.5). Under RCP 4.5, stochastic models projected an increase in population size until 2069 coincident with moderate ice conditions, followed by a decline in population size as ice conditions shifted from intermediate to mostly ice‐free. Under RCP 8.5, eider abundance increased until 2040 and then decreased to near extirpation toward the end of the century as the Bering Sea became ice‐free. Considerable uncertainty around parameter estimates for survival in years with minimal sea ice contributed to variation in stochastic projections of future population size, and this uncertainty could be reduced with additional survival data from low‐ice winters.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4637","usgsCitation":"Christie, K.S., Hollmen, T.E., Flint, P.L., and Douglas, D., 2018, Non‐linear effect of sea ice: Spectacled Eider survival declines at both extremes of the ice spectrum: Ecology and Evolution, v. 8, no. 23, p. 11808-11818, https://doi.org/10.1002/ece3.4637.","productDescription":"11 p.","startPage":"11808","endPage":"11818","ipdsId":"IP-093761","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4637","text":"Publisher Index Page"},{"id":360610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":" Kigigak Island","volume":"8","issue":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","scienceBaseUri":"5c1cb85de4b0708288c83817","contributors":{"authors":[{"text":"Christie, Katherine S.","contributorId":177114,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":754733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":754734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","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":754731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":754732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201359,"text":"sir20185167 - 2018 - Flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York","interactions":[],"lastModifiedDate":"2018-12-20T16:27:27","indexId":"sir20185167","displayToPublicDate":"2018-12-20T06:30:00","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":"2018-5167","displayTitle":"Flood-Inundation Maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York","title":"Flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York","docAbstract":"Digital flood-inundation maps for a 2.9-square-mile area of Ithaca, New York, were created in 2015–18 by the U.S. Geological Survey in cooperation with the City of Ithaca, New York, and the New York State Department of State. The flood-inundation maps depict estimates of the maximum areal extent and depth of flooding corresponding to selected flood frequencies for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek and selected water-surface elevations of Cayuga Lake.
Flood profiles for the stream reaches were computed by combining a one-dimensional step-backwater model for the stream channels and a two-dimensional model for the overbank areas. The resulting hydraulic model was calibrated by using water-surface profiles from five observed storm events. The model was then used to compute 15 water-surface profiles for 5 flood frequencies (50-, 10-, 2-, 1-, and 0.2-percent annual exceedance probabilities, or 2-, 10-, 50-, 100-, and 500-year recurrence intervals) and 3 lake levels (representing average conditions, a 2-year-high condition, and a 100-year-high condition). The simulated water-surface profiles were then combined with a digital elevation model (derived from light detection and ranging data having 0.31‑foot vertical accuracy and 3.3-foot horizontal resolution) to delineate the maximum area flooded at each water level.
Flood-inundation maps and geographic information system flood-extent polygons and depth grids are available in the data release associated with this report. These maps can provide emergency management personnel and residents with information that is critical for flood-management planning, flood-response activities, and postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185167","collaboration":"Prepared in cooperation with the City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Nystrom, E.A., Lilienthal, A.G., III, and Coon, W.F., 2018, Flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York: U.S. Geological Survey Scientific Investigations Report 2018–5167, 27 p., https://doi.org/10.3133/sir20185167. \n\n","productDescription":"Report: viii, 27 p.; Data release","ipdsId":"IP-097931","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":437643,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V8ED23","text":"USGS data release","linkHelpText":"Geospatial dataset of flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York"},{"id":360375,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V8ED23 ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial dataset of flood-inundation maps for Cayuga Inlet, Sixmile Creek, Cascadilla Creek, and Fall Creek at Ithaca, New York, 2018"},{"id":360373,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5167/coverthb.jpg"},{"id":360374,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5167/sir20185167.pdf","text":"Report","size":"6.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5167"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Cascadilla Creek, Cayuga Inlet, Fall Creek, Sixmile Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.53213500976562,\n 42.413825296776835\n ],\n [\n -76.48578643798827,\n 42.413825296776835\n ],\n [\n -76.48578643798827,\n 42.46994435756588\n ],\n [\n -76.53213500976562,\n 42.46994435756588\n ],\n [\n -76.53213500976562,\n 42.413825296776835\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Knowing how many manatees live in Florida is critical for conservation and management of this threatened species. Martin et al. (2015) flew aerial surveys in 2011–2012 and estimated abundance in those years using advanced techniques that incorporated multiple data sources. We flew additional aerial surveys in 2015–2016 to count manatees and again applied advanced statistical techniques to estimate their abundance. We also made several methodological advances over the earlier work, including accounting for how sea state (water surface conditions) and synchronous surfacing behavior affect the availability of manatees to be detected and incorporating all parts of Florida in the area of inference. We estimate that the number of manatees in Florida in 2015–2016 was 8,810 (95% Bayesian credible interval 7,520–10,280), of which 4,810 (3,820–6,010) were on the west coast of Florida and 4,000 (3,240–4,910) were on the east coast. These estimates and associated uncertainty, in addition to being of immediate value to wildlife managers, are essential new data for incorporation into integrated population models and population viability analyses.
","language":"English","publisher":"Florida Fish and Wildlife Conservation Commission, Fish and Wildfish Research Institute","usgsCitation":"Hostetler, J.A., Edwards, H.H., Martin, J., and Schueller, P., 2018, Updated statewide abundance estimates for the Florida manatee: Technical Report 23, 23 p.","productDescription":"23 p.","ipdsId":"IP-102216","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":360625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360588,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://f50006a.eos-intl.net/F50006A/OPAC/Details/Record.aspx?BibCode=1864664"}],"country":"United 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Wyoming","interactions":[],"lastModifiedDate":"2022-02-09T23:16:31.012536","indexId":"70228341","displayToPublicDate":"2018-12-18T17:10:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics and management of lentic populations of nonnative Burbot in the Green River system, Wyoming","docAbstract":"Fishes introduced outside of their native distributions have the potential to negatively affect their recipient ecosystems. Since their illegal introduction into the Green River, Wyoming, in the 1990s, Burbot Lota lota have been sampled in lotic and lentic environments throughout the Green River system where they pose a threat to native fishes and valuable sport fisheries. In response to this invasion, managers of the Green River have begun to explore the efficacy of a suppression effort targeting Burbot. This study sought to the describe population dynamics of Burbot in the lentic portions of the Green River system and compare with Burbot population dynamics in the Green River. We also sought to evaluate potential management scenarios for a suppression program. Burbot for this study were collected from Fontenelle and Flaming Gorge reservoirs in October and November 2016. Growth rates of Burbot in the lentic portion of the system were higher than for fish in the Green River. Total annual mortality rates of Burbot were approximately 10% lower in reservoirs (33%) than for fish in the Green River. Additionally, lentic Burbot matured earlier than lotic Burbot. An age-structured population model indicated that Burbot populations were growing rapidly (λ = 1.18) in the study reservoirs. Annual exploitation of juvenile Burbot would need to reach 7%. Exploitation of mature Burbot would need to increase to 33% or greater (A ≥ 57%) to effectively suppress Burbot in this system. Sensitivity analysis suggested that mortality of age-1 and age-2 Burbot had the greatest influence on population growth rate. However, due to difficulties in collecting juvenile Burbot in the system, focusing removal effort on mature Burbot may be the most realistic option for suppressing Burbot populations in the Green River system.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10247","usgsCitation":"Brauer, T.A., Quist, M.C., Rhea, D.T., Laughlin, T.W., and Walrath, J., 2018, Population characteristics and management of lentic populations of nonnative Burbot in the Green River system, Wyoming: North American Journal of Fisheries Management, v. 39, p. 45-57, https://doi.org/10.1002/nafm.10247.","productDescription":"13 p.","startPage":"45","endPage":"57","ipdsId":"IP-098188","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.40985107421875,\n 41.99113954535575\n ],\n [\n -109.64492797851562,\n 41.99113954535575\n ],\n [\n -109.64492797851562,\n 42.72280375732727\n ],\n [\n -110.40985107421875,\n 42.72280375732727\n ],\n [\n -110.40985107421875,\n 41.99113954535575\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Brauer, Tucker A.","contributorId":204716,"corporation":false,"usgs":false,"family":"Brauer","given":"Tucker","email":"","middleInitial":"A.","affiliations":[{"id":36977,"text":"Department of Fish and Wildlife Sciences, University of Idaho","active":true,"usgs":false}],"preferred":false,"id":833859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, Darren T.","contributorId":204717,"corporation":false,"usgs":false,"family":"Rhea","given":"Darren","email":"","middleInitial":"T.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":833861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laughlin, Troy W.","contributorId":275237,"corporation":false,"usgs":false,"family":"Laughlin","given":"Troy","email":"","middleInitial":"W.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":833862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walrath, John D.","contributorId":171507,"corporation":false,"usgs":false,"family":"Walrath","given":"John D.","affiliations":[],"preferred":false,"id":833863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203091,"text":"70203091 - 2018 - A natural‐origin steelhead population's response to exclusion of hatchery fish","interactions":[],"lastModifiedDate":"2019-04-22T08:41:53","indexId":"70203091","displayToPublicDate":"2018-12-18T16:03:20","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":"A natural‐origin steelhead population's response to exclusion of hatchery fish","docAbstract":"It is asserted that reduction or elimination of hatchery stocking will increase natural‐origin salmon Oncorhynchus spp. and steelhead O. mykiss production. We conducted an analysis of steelhead population census data (1958–2017) to determine whether elimination of summer steelhead stocking in the upper Clackamas River in 1998 increased the productivity of natural‐origin winter steelhead. A Bayesian state–space stock–recruitment model was fitted to the adult steelhead data set, and productivity was estimated as a function of hatchery‐origin spawner abundance as well as other environmental factors. When used as a predictive variable in our model, the abundance of hatchery summer steelhead spawners (1972–2001) did not have a negative effect on winter steelhead recruitment. However, spill at North Fork Dam (the gateway to the upper Clackamas River basin) and the Pacific Decadal Oscillation (an index of ocean conditions) were both negatively associated with winter steelhead recruitment. Moreover, winter steelhead abundance in the upper Clackamas River basin failed to rebound to abundances observed in years prior to the hatchery program, and fluctuations in winter steelhead abundance were correlated with those of other regional winter steelhead stocks. Our assessment underscores the need for studies that (1) directly quantify the effects of hatchery fish on the production of natural‐origin salmon and steelhead, (2) empirically test published theories about mechanisms of hatchery fish impacts on natural‐origin populations, and (3) document population responses to major changes in hatchery programs.
","language":"English","publisher":"American Fisheries Society ","doi":"10.1002/tafs.10140","usgsCitation":"Courter, I.I., Wyatt, G.J., Perry, R., Plumb, J., Carpenter, F.M., Ackerman, N.K., Lessard, R.B., and Galbreath, P., 2018, A natural‐origin steelhead population's response to exclusion of hatchery fish: Transactions of the American Fisheries Society, v. 148, no. 2, p. 339-351, https://doi.org/10.1002/tafs.10140.","productDescription":"13 p.","startPage":"339","endPage":"351","ipdsId":"IP-098370","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10140","text":"Publisher Index Page"},{"id":363055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":" Clackamas River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73376464843749,\n 45.0657615477031\n ],\n [\n -121.73263549804688,\n 45.0657615477031\n ],\n [\n -121.73263549804688,\n 45.45724086262233\n ],\n [\n -122.73376464843749,\n 45.45724086262233\n ],\n [\n -122.73376464843749,\n 45.0657615477031\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Courter, Ian I","contributorId":214903,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","email":"","middleInitial":"I","affiliations":[{"id":39134,"text":"Mount Hood Environmental, P.O. Box 744, Boring, Oregon 97009","active":true,"usgs":false}],"preferred":false,"id":761132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wyatt, Garth J","contributorId":214904,"corporation":false,"usgs":false,"family":"Wyatt","given":"Garth","email":"","middleInitial":"J","affiliations":[{"id":39135,"text":"Portland General Electric, 33831 Faraday Rd., Estacada, Oregon 97023","active":true,"usgs":false}],"preferred":false,"id":761133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":214905,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plumb, John 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":214906,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Forrest M","contributorId":214907,"corporation":false,"usgs":false,"family":"Carpenter","given":"Forrest","email":"","middleInitial":"M","affiliations":[{"id":39134,"text":"Mount Hood Environmental, P.O. Box 744, Boring, Oregon 97009","active":true,"usgs":false}],"preferred":false,"id":761136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Nicklaus K","contributorId":214552,"corporation":false,"usgs":false,"family":"Ackerman","given":"Nicklaus","email":"","middleInitial":"K","affiliations":[{"id":39068,"text":"Portland General Electric, Estacada, OR","active":true,"usgs":false}],"preferred":false,"id":761137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lessard, Robert B","contributorId":214908,"corporation":false,"usgs":false,"family":"Lessard","given":"Robert","email":"","middleInitial":"B","affiliations":[{"id":39136,"text":"Columbia River Intertribal Fish Commission, 700 NE Multnomah St., Portland, Oregon 97232","active":true,"usgs":false}],"preferred":false,"id":761138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galbreath, Peter F","contributorId":214909,"corporation":false,"usgs":false,"family":"Galbreath","given":"Peter F","affiliations":[{"id":39136,"text":"Columbia River Intertribal Fish Commission, 700 NE Multnomah St., Portland, Oregon 97232","active":true,"usgs":false}],"preferred":false,"id":761139,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}