Recent declines in three species of chubs that inhabit the lower Missouri River (shoal chub M. hyostoma, sicklefin chub M. meeki and sturgeon chub M. gelida) have become a concern in the management of their own populations and the endangered pallid sturgeon (Scaphirhynchus albus) that feeds on them. These chub populations encounter threats from fish predation and habitat loss. With the recent advancements in the understanding of the reproductive life history of these species, their declines have prompted development of population models and population viability analyses. For each species, we developed an age‐structured population matrix model with hierarchical stochasticity, which partitions parameter total variance into sampling and temporal components. Using these models, we found population growth rate of all three chub species decreased when stochasticity was added to the model. While examining sensitivity, we found individual fish growth, as measured by length‐at‐age, to impact population growth rate and depending on the species, could be up to four times more influential than overall survival, the next most sensitive parameter. Current survival rates have large temporal variance; more research into accuracy and factors that influence survival rates is needed.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.13791","usgsCitation":"Albers, J.L., Wildhaber, M.L., and Green, N., 2018, Population viability analyses for three Macrhybopsis spp. of the Lower Missouri River: Journal of Applied Ichthyology, v. 34, no. 6, p. 1285-1292, https://doi.org/10.1111/jai.13791.","productDescription":"8 p.","startPage":"1285","endPage":"1292","ipdsId":"IP-081380","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13791","text":"Publisher Index Page"},{"id":437656,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZS2VF5","text":"USGS data release","linkHelpText":"Fecundity of Sicklefin (Macrhybopsis meeki) and Shoal Chub (M. hyostoma)"},{"id":360058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca86","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":753311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201227,"text":"70201227 - 2018 - Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","interactions":[],"lastModifiedDate":"2018-12-07T13:41:19","indexId":"70201227","displayToPublicDate":"2018-12-07T13:41:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017","docAbstract":"Land-cover classification analysis using Landsat satellite imagery acquired between 1984 and 2017 quantified short- (post-Hurricane Sandy) and long-term wetland-change trends along the Maryland and Virginia coasts between Metompkin Bay, VA and Ocean City, MD. Although there are limited options for upland migration of wetlands in the study area, regression analysis showed that wetland area increased slightly between 1984 and 2011, indicating that marsh aggradation rates were sufficient to maintain wetland elevation relative to mean sea level. Following Hurricane Irene (August 2011), the Halloween Nor’Easter (October 2011), and Hurricane Sandy (October 2012), wetland area decreased by more than 7 km2 compared with average pre-storm extents. We assume that Hurricane Sandy had the greatest impact due to the size and intensity of the storm. However, the cumulative effects of multiple storms within a short time period likely contributed to the greater observed losses in coastal wetlands relative to earlier periods. Five years after Hurricane Sandy, wetland area had not significantly recovered, but more time may be necessary to assess if the observed wetland losses will persist or if new growth within flooded marsh areas will be sufficient for the wetlands to recover to pre-storm extents. Comparisons of long-term and storm-driven wetland changes can lead to improved accuracy of habitat vulnerability models and greater understanding of potential impacts of future storms and SLR to coastal wetlands.
","language":"English","publisher":"Springer","doi":"10.1007/s11273-018-9635-6","usgsCitation":"Douglas, S.H., Bernier, J., and Smith, K., 2018, Analysis of multi-decadal wetland changes, and cumulative impact of multiple storms 1984 to 2017: Wetlands Ecology and Management, v. 26, no. 6, p. 1121-1142, https://doi.org/10.1007/s11273-018-9635-6.","productDescription":"22 p.","startPage":"1121","endPage":"1142","ipdsId":"IP-074495","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11273-018-9635-6","text":"Publisher Index Page"},{"id":360056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.57769775390625,\n 37.73162487017297\n ],\n [\n -75.04486083984375,\n 37.73162487017297\n ],\n [\n -75.04486083984375,\n 38.352426464461445\n ],\n [\n -75.57769775390625,\n 38.352426464461445\n ],\n [\n -75.57769775390625,\n 37.73162487017297\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","scienceBaseUri":"5c0b957de4b0c53ecb2aca88","contributors":{"authors":[{"text":"Douglas, Steven H. 0000-0001-9078-538X sdouglas@usgs.gov","orcid":"https://orcid.org/0000-0001-9078-538X","contributorId":182361,"corporation":false,"usgs":true,"family":"Douglas","given":"Steven","email":"sdouglas@usgs.gov","middleInitial":"H.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200987,"text":"ofr20181186 - 2018 - Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2018-12-07T15:42:49","indexId":"ofr20181186","displayToPublicDate":"2018-12-06T14:43:55","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1186","displayTitle":"Effects of Transmitter Type, Tagging Method, Body Size, and Temperature on Behavior, Physiology, and Swimming Performance of Juvenile Chinook Salmon (Oncorhynchus tshawytscha)","title":"Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha)","docAbstract":"The objective of this study was to assess the impact of different tagging methods and transmitter types on juvenile salmonid behavior, mortality, physiology, and swimming performance over a range of water temperatures and fish sizes.
In Chapter 1, two laboratory experiments were conducted to assess maximum burst-swimming speeds, the probability of gulping air, swimming angles, and the probability of resting on a screen in a swim tunnel. For the burst swim speed experiment, we identified a slightly reduced, but statistically significant difference in burst-swimming speeds for gastric- and surgical-tagged fish implanted with dummy radio and acoustic transmitters. For the swim tunnel experiment, surgical-tagged fish were one-half as likely to gulp air at the surface of the swim tunnel as untagged and gastric-tagged fish. We observed higher probabilities of fish gulping air at the surface for fish with tag ratios greater than 5 percent, suggesting that smaller fish required greater adjustment to their buoyancy than larger fish. We also observed that gastric-tagged fish had, on average, steeper swimming angles than untagged and surgical-tagged fish in the swim tunnel.
In Chapter 2, we conducted a field-based laboratory experiment at John Day Dam to assess the sustained swimming performance (i.e., critical swimming speed or Ucrit) of in-river migrating subyearling Chinook salmon that were surgically implanted with dummy radio and acoustic transmitters. Statistical tests indicated a significant reduction (about 8.3 centimeters per second [cm/s] or 1 body length per second) in sustained swimming performance for fish implanted with either radio or acoustic transmitters. We also found a significant reduction in Ucrit of -1.38 cm/s for every 1 degree Celsius (°C) increase in temperature.
In Chapter 3, we assessed the effects of water temperature on the physiology, mortality, and swimming performance of juvenile Chinook salmon in laboratory and field experiments. Juvenile Chinook salmon generally showed elevated stress response, elevated mortality, and reduced swimming performance as water temperature increased. We concluded that the water temperature threshold for handling and tagging fish with minimal impacts seems to be near 23 °C. At 25 °C, we documented very high mortality and dramatically reduced swimming performance of tagged fish relative to controls. Telemetry studies conducted at 25 °C would not meet the critical assumption that the transmitter has minimal impacts on the study fish.
In the Chapter 4, we evaluated the effects of antenna length and antenna material on the subsequent tag output power, reception, and detection of tagged fish. In a laboratory, we compared the relative signal strengths in water of 150-megahertz transmitters over a range of antenna lengths (from 6 to 30 cm) and materials (one weighing about one-half of the other). The peak relative signal strengths were at 20 and 22 cm, which are about 1 wavelength underwater at the test frequency. The peak relative signal strengths at these antenna lengths were about 50 percent greater than those of 30-cm antennas, a length commonly used in fisheries research.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181186","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Perry, R.W., and Liedtke, T.L., eds., 2018, Effects of transmitter type, tagging method, body size, and temperature on behavior, physiology, and swimming performance of juvenile Chinook salmon (Oncorhynchus tshawytscha): U.S. Geological Survey Open Report 2018–1186, 74 p., https://doi.org/10.3133/ofr20181186.","productDescription":"viii, 74 p.","onlineOnly":"Y","ipdsId":"IP-076451","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":360005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1186/coverthb.jpg"},{"id":360006,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1186/ofr20181186.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1186"}],"contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
Using a geology-based assessment methodology, the U.S. Geological Survey assessed undiscovered, technically recoverable continuous mean resources of 46.3 billion barrels of oil and 281 trillion cubic feet of gas in the Wolfcamp shale and Bone Spring Formation of the Delaware Basin in the Permian Basin Province, southeast New Mexico and west Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183073","usgsCitation":"Gaswirth, S.B., French, K.L., Pitman, J.K., Marra, K.R., Mercier, T.J., Leathers-Miller, H.M., Schenk, C.J., Tennyson, M.E., Woodall, C.A., Brownfield, M.E., Finn, T.M., and Le, P.A., 2018, Assessment of undiscovered continuous oil and gas resources in the Wolfcamp Shale and Bone Spring Formation of the Delaware Basin, Permian Basin Province, New Mexico and Texas, 2018: U.S. Geological Survey Fact Sheet 2018–3073, 4 p., https://doi.org/10.3133/fs20183073.","productDescription":"Report: 4 p.; Data release","onlineOnly":"N","ipdsId":"IP-101387","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":359787,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3073/fs20183073.pdf","text":"Report","size":"2.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3073"},{"id":359834,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WOUJD3","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Delaware Basin, Wolfcamp Shale and Bone Spring Assessment Units and Input Data"},{"id":359785,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3073/coverthb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Delaware Basin, Permian Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.93,\n 30.59\n ],\n [\n -102.84,\n 30.59\n ],\n [\n -102.84,\n 32.84\n ],\n [\n -104.93,\n 32.84\n ],\n [\n -104.93,\n 30.59\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
When applied to a snow-covered surface, aerodynamic roughness length, z0, is typically considered as a static parameter within energy balance equations. However, field observations show that z0 changes spatially and temporally, and thus z0 incorporated as a dynamic parameter may greatly improve models. To evaluate methods for characterizing snow surface roughness, we compared concurrent estimates of z0 based on (1) terrestrial light detection and ranging derived surface geometry of the snowpack surface (geometric, z0G) and (2) vertical wind profile measurements (anemometric, z0A). The value of z0Gwas computed from Lettau’s equation and underestimated z0A but compared well when scaled by a factor of 2.34. The Counihan method for computing z0G was found to be unsuitable for estimating z0 on a snow surface. During snowpack accumulation in early winter, z0 varied as a function of the snow-covered area (SCA). Our results show that as the SCA increases, z0 decreases, indicating there is a topographic influence on this relation.
","language":"English","publisher":"MDPI","doi":"10.3390/geosciences8120463","usgsCitation":"Sanow, J.E., Fassnacht, S.R., Kamin, D.J., Sexstone, G., Bauerle, W.L., and Oprea, I., 2018, Geometric versus anemometric surface roughness for a shallow accumulating snowpack: Geosciences, v. 8, no. 12, p. 1-10, https://doi.org/10.3390/geosciences8120463.","productDescription":"Article 463; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-103052","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":468200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences8120463","text":"Publisher Index Page"},{"id":359976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","scienceBaseUri":"5c0a4356e4b0815414d2812a","contributors":{"authors":[{"text":"Sanow, Jessica E.","contributorId":211149,"corporation":false,"usgs":false,"family":"Sanow","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":true,"id":753274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fassnacht, Steven R.","contributorId":177135,"corporation":false,"usgs":false,"family":"Fassnacht","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":753275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kamin, David J.","contributorId":211150,"corporation":false,"usgs":false,"family":"Kamin","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexstone, Graham A. 0000-0001-8913-0546","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":203850,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauerle, William L.","contributorId":211151,"corporation":false,"usgs":false,"family":"Bauerle","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oprea, Iuliana","contributorId":211152,"corporation":false,"usgs":false,"family":"Oprea","given":"Iuliana","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":753278,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199657,"text":"70199657 - 2018 - New global high-resolution centerlines dataset of selected river systems","interactions":[],"lastModifiedDate":"2019-12-06T10:10:11","indexId":"70199657","displayToPublicDate":"2018-12-06T10:05:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5898,"text":"Data in Brief","onlineIssn":"2352-3409","active":true,"publicationSubtype":{"id":10}},"title":"New global high-resolution centerlines dataset of selected river systems","docAbstract":"We present the first high resolution (1:20,000) river centerlines shapefiles from 50 large rivers across the world. Rivers were selected based on the criteria of having more than 1000 km length and which have been reported to have a significant contribution to global fishery production. Since large rivers often span multiple countries, the degree of changes (i.e., anthropogenic or climate derived) varies from region to region. These high-resolution layers were developed to enable researchers to delineate accurate river length, from headwaters regions to their delta and assess or visualize the ongoing changes more accurately in these river systems. Further, these polylines could be used in coordination with satellite derived environmental or landscape variables for ecological research (e.g. predicting biodiversity, estimating biomass).","language":"English","publisher":"Elsevier","doi":"10.1016/j.dib.2018.09.016","collaboration":"Michigan State University","usgsCitation":"Basher, Z., Lynch, A., and Taylor, W.W., 2018, New global high-resolution centerlines dataset of selected river systems: Data in Brief, v. 20, p. 1552-1555, https://doi.org/10.1016/j.dib.2018.09.016.","productDescription":"4 p.","startPage":"1552","endPage":"1555","ipdsId":"IP-094613","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":468201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dib.2018.09.016","text":"Publisher Index Page"},{"id":370031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357654,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S2352340918310916?via%3Dihub"}],"volume":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":208142,"corporation":false,"usgs":false,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":746092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":746091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":746093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211548,"text":"70211548 - 2018 - Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection","interactions":[],"lastModifiedDate":"2021-08-04T18:02:24.456164","indexId":"70211548","displayToPublicDate":"2018-12-06T10:04:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection","docAbstract":"Kīlauea Volcano is an archetype for the complex interactions that can occur between a volcano’s summit and flanks. Decades of monitoring at Kīlauea have demonstrated that magma rises beneath the summit and flows laterally at shallow depths to erupt along the rift zones. Kīlauea’s recent eruptions at Halema‘uma‘u and Pu‘u ‘Ō‘ō mark the first time in the historic record that long-term (>1 year) eruptions have been concurrent at the summit and a rift zone, offering a new opportunity to improve our understanding of the relationship between these two segments of the magmatic system. While magma supply rate beneath the summit has been shown in previous studies to be a primary control on magmatic system pressure and eruptive activity, the role of the eruptive vent has been less clear. Our study shows that a dynamic equilibrium is maintained between Kīlauea’s summit and East Rift Zone (ERZ) eruptive vent—and lava lake level fluctuations are closely coupled at the two eruption sites—providing new constraints on the hydraulic connection and ERZ conduit. We show that localized changes at the ERZ eruption site during 2010-2011 regulated summit behavior in an uprift direction over distances of ~20 km. Changes in the elevation and efficiency of the ERZ vent affect pressure in Kīlauea’s magmatic system and impact summit behavior. Thus, the hydraulic connection between the summit and rift zone is a “two-way street” that transmits both downrift- and uprift-directed changes. Our results support recent work at other volcanoes that shows a complex interplay between a volcano’s summit reservoir and flank conduit during flank eruptions, and suggest that explosive summit activity may in some cases be triggered by changes far away on a volcano’s rift.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.11.030","usgsCitation":"Patrick, M.R., Orr, T.R., Anderson, K.R., and Swanson, D., 2018, Eruptions in sync: Improved constraints on Kīlauea Volcano's hydraulic connection: Earth and Planetary Science Letters, v. 507, p. 50-61, https://doi.org/10.1016/j.epsl.2018.11.030.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-093483","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":387689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.4242706298828,\n 19.272257982982804\n ],\n [\n -155.43045043945312,\n 19.20029572454375\n ],\n [\n -155.39817810058594,\n 19.19056867766461\n ],\n [\n -155.01571655273438,\n 19.30660720441715\n ],\n [\n -155.03082275390625,\n 19.397953948267734\n ],\n [\n -155.11390686035156,\n 19.444579339485816\n ],\n [\n -155.2333831787109,\n 19.444579339485816\n ],\n [\n -155.3102874755859,\n 19.444579339485816\n ],\n [\n -155.4242706298828,\n 19.272257982982804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"507","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209529,"text":"70209529 - 2018 - Quantifying effects of deer browsing on vegetation establishment, growth and development in large-extent overwash fans","interactions":[],"lastModifiedDate":"2024-08-01T19:46:21.693828","indexId":"70209529","displayToPublicDate":"2018-12-05T16:25:11","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2019/2037","title":"Quantifying effects of deer browsing on vegetation establishment, growth and development in large-extent overwash fans","docAbstract":"Hurricane Sandy provided a unique opportunity to better understand the potential effects of white-tailed deer (Odocoileus virginianus borealis) on recovering vegetation in areas overwashed by Hurricane Sandy in the Otis Pike Fire Island High Dune Wilderness Area. White-tailed deer are the dominant herbivore on Fire Island and they are known to decrease plant diversity, limit reproduction and growth of some plant species, and facilitate growth and expansion of non-native species through selective browsing. Deer also negatively affect the federally-threatened seabeach amaranth plants along the island’s beaches. Deer impacts to forest understory and regeneration have been documented in Fire Island’s Sunken Forest for decades, though their impacts to recovering dune vegetation are less understood and could restrict the resilience and recovery of primary dunes.
Through use of several vegetation assessment methods, including point intercept and paired permanent exclosures, and deer monitoring with trail cameras, we documented high variability in among-overwash species richness, vegetation cover, and local deer abundance. We observed 29 vegetation species among overwash fans between 2015 and 2016. Greater vegetation cover was observed in northern (i.e., inland) areas of all overwash fans, and greater cover and species richness were documented in fenced permanent plots than in control plots. The greatest effect of deer browsing to recovering dune vegetation was in total vegetation cover, which was significantly greater in fenced permanent plots. Any amaranth plants left open (i.e., un-exclosed) were often heavily browsed and experienced early onset mortality without reproducing. Since Hurricane Sandy, total vegetation cover in overwash fans has significantly increased each year, despite deer activity and a regional drought in 2016. While deer graze and browse vegetation in overwash fans, deer and humans trample vegetation in some overwash fans and separating effects of each is not possible from exclusion studies alone. Two overwash fans have been consistently impacted by coastal disturbances since Hurricane Sandy, further complicating their recoveries. Monitoring of dune vegetation should continue as communities transition from predominantly grasses to shrubs and forbs to assess effects of deer as palatability of vegetation improves.
The incompatibility of native Colorado River fishes and nonnative warm-water sport fishes is well documented with predation by nonnative species causing rapid declines and even extirpation of native species in most locations. In a few rare instances native fishes are able to survive and recruit despite the presence of nonnative warm water predators, indicating that specific environmental conditions may help reduce predation vulnerability. We experimented with turbidity, artificial blue water colorant, woody debris, rocks, and aquatic vegetation in a laboratory setting to determine if any of these types of cover could reduce predation vulnerability and confer survival advantages for juvenile bonytail Gila elegans, (mean = 70 mm TL), roundtail chub Gila robusta, (mean = 35 mm TL), humpback chub Gila cypha, (mean = 67 mm TL), and razorback sucker Xyrauchen texanus (mean = 74 mm TL). Juvenile native fishes were exposed to predation by adult largemouth bass Micropterus salmoides, smallmouth bass Micropterus dolomieu, green sunfish Lepomis cyanellus, flathead catfish Pylodictis olivaris, and black bullhead catfish Ameiurus melas, in overnight trials. Turbidity above 500 NTU reduced predation vulnerability by up to 50%, for the sight-feeding predators, but increased predation vulnerability to non-sight feeding predators such as flathead catfish and bullhead catfish. Turbidity was the only treatment which appeared to significantly alter predation mortality of native prey. These results may help to explain recent patterns of wild juvenile razorback sucker recruitment at the inflow of the San Juan River into Lake Powell and the inflow of the Colorado River into Lake Mead. These are both areas of high turbidity where flathead catfish are not currently present but other nonnative sportfish are relatively abundant.
","language":"English","publisher":"American Fisheries Society","doi":"10.3996/042018-JFWM-031","usgsCitation":"Ward, D.L., and Vaage, B., 2018, What environmental conditions reduce predation vulnerability for juvenile Colorado River native fishes?: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 196-205, https://doi.org/10.3996/042018-JFWM-031.","productDescription":"10 p.","startPage":"196","endPage":"205","ipdsId":"IP-095633","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468202,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042018-jfwm-031","text":"Publisher Index Page"},{"id":437657,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ANHV3","text":"USGS data release","linkHelpText":"Laboratory Predation Data (various nonnative warm-water sport fishes), Arizona"},{"id":363085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"10","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Benjamin 0000-0003-1730-4302 bvaage@usgs.gov","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":211598,"corporation":false,"usgs":true,"family":"Vaage","given":"Benjamin","email":"bvaage@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201775,"text":"70201775 - 2018 - Updated California aftershock parameters","interactions":[],"lastModifiedDate":"2019-01-29T14:53:12","indexId":"70201775","displayToPublicDate":"2018-12-05T14:53:06","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":"Updated California aftershock parameters","docAbstract":"Reasenberg and Jones (1989) introduced a statistical model for aftershock rate following a mainshock along with estimates of “generic” California parameter values based on past aftershock sequences. The Reasenberg and Jones (1989) model has been used for decades to issue aftershock forecasts following
Use of environmental DNA (eDNA) to assess distributions of aquatic and semi-aquatic macroorganisms is promising, but sampling schemes may need to be tailored to specific objectives. Given the potentially high variance in aquatic eDNA among replicate grab samples, compositing smaller water volumes collected over a period of time may be more effective for some applications. In this study, we compared eDNA profiles from composite water samples aggregated over three hours with grab water samples. Both sampling patterns were performed with identical autosamplers paired at two different sites in a headwater stream environment, augmented with exogenous fish eDNA from an upstream rearing facility. Samples were filtered through 0.8 μm cellulose nitrate filters and DNA was extracted with a cetyl trimethylammonium bromide procedure. Eukaryotic and bacterial community profiles were derived by amplicon sequencing of 12S ribosomal, 16S ribosomal, and cytochrome oxidase I loci. Operational taxa were assigned to genus with a lowest common ancestor approach for eukaryotes and to family with the RDP Classifier software for prokaryotes. Eukaryotic community profiles were more consistent with composite sampling than grab sampling. Downstream, rarefaction curves suggested faster taxon accumulation for composite samples, and estimated richness was higher for composite samples as a set than for grab samples. Upstream, composite sampling produced lower estimated richness than grab samples, but with overlapping standard errors. Furthermore, a bimodal pattern of richness as a function of sequence counts suggested the impact of clumped particles on upstream samples. Bacterial profiles were insensitive to sample method, consistent with the more even dispersion expected for bacteria compared with eukaryotic eDNA. Overall, samples composited over 3 h performed equal to or better than triplicate grab sampling for quantitative community metrics, despite the higher total sequencing effort provided to grab replicates. On the other hand, taxon-specific detection rates did not differ appreciably and the two methods gave similar estimates of the ratio of the common fish genera Salmo and Coregonus at each site. Unexpectedly, Salmo eDNA dropped out substantially faster than Coregonus eDNA between the two sites regardless of sampling method, suggesting that differential settling affects the estimation of relative abundance. We identified bacterial patterns that were associated with eukaryotic diversity, suggesting potential roles as biomarkers of sample representativeness.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.5871","usgsCitation":"Cornman, R.S., McKenna, J.E., Fike, J., Oyler-McCance, S.J., and Johnson, R., 2018, An experimental comparison of composite and grab sampling of stream water for metagenetic analysis of environmental DNA: PeerJ, v. 6, p. 1-28, https://doi.org/10.7717/peerj.5871.","productDescription":"e5871; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-098663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.5871","text":"Publisher Index Page"},{"id":437658,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NIUYM","text":"USGS data release","linkHelpText":"Metagenetic analysis of stream community composition based on environmental DNA"},{"id":360249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","scienceBaseUri":"5c137dd3e4b006c4f8514882","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":753900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Robin 0000-0003-4314-3792","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":211387,"corporation":false,"usgs":false,"family":"Johnson","given":"Robin","affiliations":[{"id":38242,"text":"Integrated Statistics (Contractor)","active":true,"usgs":false}],"preferred":false,"id":753904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201146,"text":"sir20185129 - 2018 - Vibration monitoring results near a bat hibernaculum at Mammoth Cave National Park, Kentucky, March 2016","interactions":[],"lastModifiedDate":"2018-12-05T14:39:59","indexId":"sir20185129","displayToPublicDate":"2018-12-04T15:45:00","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":"2018-5129","displayTitle":"Vibration Monitoring Results near a Bat Hibernaculum at Mammoth Cave National Park, Kentucky, March 2016","title":"Vibration monitoring results near a bat hibernaculum at Mammoth Cave National Park, Kentucky, March 2016","docAbstract":"Vibrations originating from construction of a new walkway in a passage of Mammoth Cave, from walking personnel simulating a bat survey, and from ambient sources were measured near a bat hibernaculum beneath Mammoth Cave National Park, Kentucky, to determine if the vibrations were disturbing the hibernating bats. Data presented indicate direction and magnitude of the vibrations. The seven sources of vibration that were recorded include hammer drill (one location), plate compactor (two locations), jackhammer (two locations), personnel simulating a bat survey near the hibernaculum (walking throughout the cave), and background levels. Vibrations were measured for approximately 10 seconds during each triggering of the source and each source was recorded 5–10 times to represent the reproducibility of the vibrations.
The plate compactor produced the largest velocity of 0.00226 inch per second on one of the longitudinal components. The simulated bat survey produced the largest value of acceleration of 0.34 inch per square second in the vertical component. Maximum vertical velocities and accelerations did not exceed literature values for human perception or visible agitation in laboratory mice.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185129","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Adams, R.F., Morrow, W.S., and Koebel, C.M., 2018, Vibration monitoring results near a bat hibernaculum at Mammoth Cave National Park, Kentucky, March 2016: U.S. Geological Survey Scientific Investigations Report 2018–5129, 16 p., https://doi.org/10.3133/sir20185129.","productDescription":"Report: iv, 16 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074738","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":359864,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94LHZHR","text":"USGS data release","description":"USGS data release","linkHelpText":"Vibration Monitoring Data from a Bat Hibernaculum at Mammoth Cave National Park, Kentucky, March 2016"},{"id":359862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5129/coverthb.jpg"},{"id":359863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5129/sir20185129.pdf","text":"Report","size":"19.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5129"}],"country":"United States","state":"Kentucky","otherGeospatial":"Mammoth Cave National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.10980987548828,\n 37.17071303242321\n ],\n [\n -86.08234405517578,\n 37.17071303242321\n ],\n [\n -86.08234405517578,\n 37.19368966240492\n ],\n [\n -86.10980987548828,\n 37.19368966240492\n ],\n [\n -86.10980987548828,\n 37.17071303242321\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
9818 Bluegrass Parkway
Louisville, Kentucky 40299
This report describes an interactive tool (NDakGWtool) in which a statistical model is developed using locally weighted regression to estimate monthly mean groundwater elevations for a specified latitude and longitude, referred to as the “user-specified location.” For each user-specified location, seven models are developed for each month from April through October. Localized, high spatial-resolution maps of estimated monthly mean groundwater surface elevations are produced from the models. The tool was evaluated for glacial drift aquifers of the 32-county study area in central and eastern North Dakota. Although groundwater elevations from 1960 to 2017 were available to develop the tool, groundwater elevations from 1995 to 2015 were used for model testing and development of the model domain. There are 413 grid cells of 0.1-degree latitude by 0.1-degree longitude size in the model domain, and the tool produces maps of estimated monthly mean groundwater surface elevations for the cell containing the user-specified location. Additionally, the NDakGWtool produces maps of estimated groundwater depth below land surface and ArcGIS files of estimated groundwater surface elevations and groundwater depth below land surface. The tool is composed of four main components: data input, statistical model, output, and user-interactive process.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181185","collaboration":"Prepared in cooperation with Natural Resources Conservation Service","usgsCitation":"Nustad, R.A., Damschen, W.C., and Vecchia, A.V., 2018, Interactive tool to estimate groundwater elevations in central and eastern North Dakota: U.S. Geological Survey Open-File Report 2018–1185, 24 p., https://doi.org/10.3133/ofr20181185.","productDescription":"Report: vi, 24; Appendix","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-090716","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":359877,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1185/coverthb.jpg"},{"id":359878,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1185/ofr20181185.pdf","text":"Report","size":"6.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1185"},{"id":359880,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1185/ofr20181185_appendix.zip","text":"Appendix","size":"27.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2018–1185 Appendix","linkHelpText":"R Documentation"}],"country":"United States","state":"North Dakota","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
Mafic volcanic fields are widespread, but few have erupted in historic times, providing limited observations of the magnitudes, dynamics, and timescales of lava flow emplacement in these settings. To expand our knowledge of effusive mafic eruptions, we must evaluate solidified flows to discern syn-eruptive conditions. The Harrat Rahat volcanic field in western Saudi Arabia offers a good opportunity for this, with a historical eruption in 1256 CE and many well-preserved prehistoric flows. We combine historical observations and rheological and morphological analyses of the youngest flows with analytical models to reconstruct eruptive histories and lava flow emplacement conditions in Harrat Rahat. Petrologic analysis of samples for emplacement temperatures and crystallinities shows cooling trends from vent to toe of ~ 1140 to ~ 1090 °C at rates of 2–7 °C km−1, crystallinities increasing from 0.5 to 60%, and apparent viscosities increasing from 102 to 109 Pa s. High-resolution topographic data facilitates quantitative analysis of morphology and interpolation of pre-eruptive surfaces to measure flow thicknesses, channels, and levees, and enables calculation of eruptive volumes. Analytical models relating flow morphology to emplacement conditions are applied to estimate effusion rates. Within the suite of studied flows, volume estimates range from 0.07 to 0.42 km3dense rock equivalent, with effusion rates on the order of 10 to 100 s of m3 s−1 and durations from 1 to 15 weeks. These integrated analyses quantify past lava flow emplacement conditions and dynamics in Harrat Rahat, improving our understanding and observations of fundamental parameters and controls of effusive eruptions in mafic volcanic fields.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-018-1259-4","usgsCitation":"Dietterich, H.R., Downs, D.T., Stelten, M.E., and Zahran, H.M., 2018, Reconstructing lava flow emplacement histories with rheological and morphological analyses: the Harrat Rahat volcanic field, Kingdom of Saudi Arabia: Bulletin of Volcanology, v. 80, p. 1-23, https://doi.org/10.1007/s00445-018-1259-4.","productDescription":"Article 55; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-100121","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":359929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","otherGeospatial":"Harrat Rahat","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 39.7,\n 24.3\n ],\n [\n 40,\n 24.3\n ],\n [\n 40,\n 24.55\n ],\n [\n 39.7,\n 24.55\n ],\n [\n 39.7,\n 24.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-03","publicationStatus":"PW","scienceBaseUri":"5c07a061e4b0815414cee777","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":753020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":753021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":753022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zahran, Hani M. 0000-0002-0029-3822","orcid":"https://orcid.org/0000-0002-0029-3822","contributorId":203711,"corporation":false,"usgs":false,"family":"Zahran","given":"Hani","email":"","middleInitial":"M.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":true,"id":753023,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201171,"text":"70201171 - 2018 - Waterfowl spring migratory behavior and avian influenza transmission risk in the changing landscape of the East Asian-Australasian Flyway","interactions":[],"lastModifiedDate":"2018-12-04T10:27:03","indexId":"70201171","displayToPublicDate":"2018-12-04T10:27:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl spring migratory behavior and avian influenza transmission risk in the changing landscape of the East Asian-Australasian Flyway","docAbstract":"Avian influenza has advanced from a regional concern to a global health issue with significant economic, trade, and public health implications. Wild birds, particularly waterfowl (Anseriformes), are known reservoirs for low-pathogenic avian influenza viruses (AIV) and recent studies have shown their potential in the spread of highly pathogenic forms of virus. East Asia remains an epicenter for the emergence of novel strains of AIV, however, information on movement ecology of waterfowl, and subsequently a clearer understanding of disease transmission risks in this region has been greatly lacking. To address this, we marked two species of wild waterfowl, northern pintail (Anas acuta) and Eurasian wigeon (Anas penelope), with satellite transmitters on their wintering grounds in Hong Kong, China to study the northward spring migration in the East Asian-Australasian Flyway in relation to disease transmission factors. Northern pintail were found to initiate migration 42 days earlier, travel 2,150 km farther, and perform 4.4 more stopovers than Eurasian wigeon. We found both species used similar stopover locations including areas along the Yangtze River near Shanghai, Bohai Bay and Korea Bay in rapidly developing regions of the Yellow Sea, and the Sea of Okhotsk where the species appeared to funnel through a migratory bottleneck. Both species appeared to exhibit strong habitat selection for rice paddies during migration stopovers, a habitat preference which has the potential to influence risks of AIV outbreaks as rapid land use and land cover changes occur throughout China. Both species had greatest association with H5N1 outbreaks during the early stages of migration when they were at lower latitudes. While Eurasian wigeon were not associated with outbreaks after the mean date of wintering ground departures, northern pintail were associated with outbreaks until the majority of individuals departed from the Yellow Sea, a migratory stopover location. Our results show species-level differences in migration timing and behavior for these common and widespread species, demonstrating the need to consider their unique temporal and spatial movement ecology when incorporating wild birds into AIV risk modeling and management.
","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2018.00206","usgsCitation":"Sullivan, J.D., Takekawa, J., Spragens, K.A., Newman, S.H., Xiao, X., Leader, P.J., Smith, B., and Prosser, D.J., 2018, Waterfowl spring migratory behavior and avian influenza transmission risk in the changing landscape of the East Asian-Australasian Flyway: Frontiers in Ecology and Evolution, v. 6, p. 1-14, https://doi.org/10.3389/fevo.2018.00206.","productDescription":"Article 206; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-099333","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468204,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2018.00206","text":"Publisher Index Page"},{"id":359915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","scienceBaseUri":"5c07a062e4b0815414cee779","contributors":{"authors":[{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":753035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":753036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spragens, Kyle A. kspragens@usgs.gov","contributorId":211030,"corporation":false,"usgs":false,"family":"Spragens","given":"Kyle","email":"kspragens@usgs.gov","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":753037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Scott H.","contributorId":199129,"corporation":false,"usgs":false,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":753038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":753039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leader, Paul J.","contributorId":211031,"corporation":false,"usgs":false,"family":"Leader","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":38173,"text":"AEC Ltd","active":true,"usgs":false}],"preferred":false,"id":753040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Bena","contributorId":211032,"corporation":false,"usgs":false,"family":"Smith","given":"Bena","email":"","affiliations":[{"id":38174,"text":"WWT Consulting","active":true,"usgs":false}],"preferred":false,"id":753041,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753034,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202541,"text":"70202541 - 2018 - Rising tides: Assessing habitat vulnerability for an endangered salt marsh-dependent species with sea-level rise","interactions":[],"lastModifiedDate":"2020-02-25T07:59:25","indexId":"70202541","displayToPublicDate":"2018-12-04T10:19:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Rising tides: Assessing habitat vulnerability for an endangered salt marsh-dependent species with sea-level rise","docAbstract":"Salt marsh-dependent species are vulnerable to impacts of sea-level rise (SLR). Site-specific differences in ecogeomorphic processes result in different SLR vulnerabilities. SLR impacts to Ridgway’s rail (Rallus obsoletus) of Southern California (SC) and San Francisco Bay (SF), U.S.A. could foreshadow SLR effects on other coastal endemic species. Salt marsh vulnerabilities to SLR were forecasted across 14 study sites using the Wetland Accretion Rate Model of Ecosystem Resilience, which accounts for changes in above and belowground marsh processes. Changes in suitable habitat for rail were projected with MaxEnt. Under a high (166 cm/100 yr) SLR scenario, current extent of suitable habitat is projected to increase by 34% across the combined area of 14 sites by 2050, but by 2100, total habitat suitability is projected to decrease by 83%, with six salt marshes losing over 95% of suitable habitat. Under a high SLR scenario, SF’s suitable habitat is predicted to increase by 35% at mid-century, and SC’s current suitable habitat extent will increase by 24%. However, by 2100, SF is forecasted to lose 84% of suitable habitat and SC to lose 80% of its current habitat extent. If accretion rates cannot keep pace with SLR, salt marsh obligate species are in danger of being extirpated from their habitat.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1112-8","usgsCitation":"Rosencranz, J., Thorne, K., Buffington, K., Overton, C.T., Takekawa, J., Casazza, M.L., McBroom, J., Wood, J.K., Nur, N., Zembal, R.L., MacDonald, G.M., and Ambrose, R.F., 2018, Rising tides: Assessing habitat vulnerability for an endangered salt marsh-dependent species with sea-level rise: Wetlands, v. 39, p. 1-16, https://doi.org/10.1007/s13157-018-1112-8.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-097425","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203688,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":759027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McBroom, Jennifer","contributorId":167185,"corporation":false,"usgs":false,"family":"McBroom","given":"Jennifer","email":"","affiliations":[{"id":24635,"text":"Invasive Spartina Project","active":true,"usgs":false}],"preferred":false,"id":759029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wood, Julian K.","contributorId":167190,"corporation":false,"usgs":false,"family":"Wood","given":"Julian","email":"","middleInitial":"K.","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":759030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nur, Nadav","contributorId":175035,"corporation":false,"usgs":false,"family":"Nur","given":"Nadav","email":"","affiliations":[],"preferred":false,"id":759031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zembal, Richard L.","contributorId":214052,"corporation":false,"usgs":false,"family":"Zembal","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":38967,"text":"Orange County Water District, Fountain Valley, California","active":true,"usgs":false}],"preferred":false,"id":759032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":759033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ambrose, Richard F.","contributorId":174708,"corporation":false,"usgs":false,"family":"Ambrose","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":759034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70222921,"text":"70222921 - 2018 - Potential effects of GPS transmitters on greater sage-grouse survival in a post-fire landscape","interactions":[],"lastModifiedDate":"2021-08-10T15:30:51.254639","indexId":"70222921","displayToPublicDate":"2018-12-04T10:19:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of GPS transmitters on greater sage-grouse survival in a post-fire landscape","docAbstract":"Rigorous monitoring and evaluation of wildlife population performance because of management or disturbance often relies upon the handling and marking of animals. Such studies must assume that marking animals does not affect their behavior or demography. We examined survival of greater sage-grouse Centrocercus urophasianus post wildfire in southeastern Oregon, USA. We observed extremely high mortality rates early in the study and questioned if our global positioning systems (GPS) transmitters were negatively affecting survival of adult greater sage-grouse. Thus, in situ we captured and randomly assigned additional grouse to either a GPS or VHF transmitter and examine patterns of mortality and estimated survival to evaluate if there were in fact transmitter effects on this important vital rate. Our results indicated that regardless of instrument type large wildfire had negative effects on monthly survival the first year after the fire. However, point estimates indicated that greater sage-grouse fitted with GPS transmitters had approximately 5% lower annual survival than VHF tagged birds, but although there was relatively large overlap in confidence limits, likely caused by small sample sizes. Further research is needed to disentangle potential confounding effects of GPS transmitters on survival impacts of grouse in association with large disturbance.
","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00479","usgsCitation":"Foster, L.J., Dugger, K., Hagen, C.A., and Budeau, D.A., 2018, Potential effects of GPS transmitters on greater sage-grouse survival in a post-fire landscape: Wildlife Biology, v. 2018, no. 1, wlb.00479, 6 p., https://doi.org/10.2981/wlb.00479.","productDescription":"wlb.00479, 6 p.","ipdsId":"IP-100211","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00479","text":"Publisher Index Page"},{"id":387817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trout Creek Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.52188110351562,\n 41.99726342796974\n ],\n [\n -117.90390014648436,\n 41.99726342796974\n ],\n [\n -117.90390014648436,\n 42.381879610913195\n ],\n [\n -118.52188110351562,\n 42.381879610913195\n ],\n [\n -118.52188110351562,\n 41.99726342796974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2018","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":820809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":820808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budeau, David A.","contributorId":44840,"corporation":false,"usgs":true,"family":"Budeau","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217043,"text":"70217043 - 2018 - Twenty-nine years of population dynamics in a small-bodied montane amphibian","interactions":[],"lastModifiedDate":"2020-12-29T13:39:05.613643","indexId":"70217043","displayToPublicDate":"2018-12-04T07:36:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-nine years of population dynamics in a small-bodied montane amphibian","docAbstract":"Identifying population declines before they reach crisis proportions is imperative given the current global decline in vertebrate fauna and associated challenges and expense of recovery. Understanding life histories and how the environment influences demography are critical aspects of this challenge, as is determining the biological relevance of covariates that are best supported by the data. We used 29 yr of data on chorus frogs at two sites to estimate demographic parameters, examine life history, assess weather‐related covariates, and determine the magnitude of process variation in target parameters. Average estimates of survival probabilities were 0.51 (Standard Error [SE] = 0.04) and 0.43 (SE = 0.04), and average estimates of recruitment probabilities were 0.64 (SE = 0.07) and 0.44 (SE = 0.04). Process variation accounted for ≥76% of the total temporal variation in both parameters at one pond and in survival probability alone at the other, suggesting that the covariates in our top models were explaining predominantly process rather than sampling variation. Estimates of population growth rates indicated a declining population at one pond (i.e., negative population growth rates in 15 of 18 yr), and comparisons with historical estimates suggested declines in survival probability at the other. The amount of deviance explained was low, providing little support for the influence of covariates on target parameters, despite model selection support. Synthesis and applications: This analysis illustrates the value of disentangling components of variance when assessing demographic drivers and highlights the need for adequate demographic information in assigning conservation labels.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2522","usgsCitation":"Muths, E., Scherer, R., Amburgey, S.M., and Corn, P., 2018, Twenty-nine years of population dynamics in a small-bodied montane amphibian: Ecosphere, v. 9, no. 12, e02522, 15 p., https://doi.org/10.1002/ecs2.2522.","productDescription":"e02522, 15 p.","ipdsId":"IP-073404","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468206,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2522","text":"Publisher Index Page"},{"id":437659,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BZAPLB","text":"USGS data release","linkHelpText":"Demographic data from two chorus frog populations in Colorado"},{"id":381718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245923,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":807332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scherer, R D","contributorId":245924,"corporation":false,"usgs":false,"family":"Scherer","given":"R D","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":807333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amburgey, S M 0000-0002-7100-7811","orcid":"https://orcid.org/0000-0002-7100-7811","contributorId":245926,"corporation":false,"usgs":false,"family":"Amburgey","given":"S","email":"","middleInitial":"M","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":807334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, PS","contributorId":245928,"corporation":false,"usgs":false,"family":"Corn","given":"PS","email":"","affiliations":[{"id":49365,"text":"Aldo Leopold Wilderness Research","active":true,"usgs":false}],"preferred":false,"id":807335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201153,"text":"70201153 - 2018 - North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation","interactions":[],"lastModifiedDate":"2019-01-28T08:40:19","indexId":"70201153","displayToPublicDate":"2018-12-03T15:51:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation","docAbstract":"The North Atlantic Current (NAC) transports warm salty water to high northern latitudes, with important repercussions for ocean circulation and global climate. A southward displacement of the NAC and Subarctic Front, which separate subpolar and subtropical water masses, is widely suggested for the Last Glacial Maximum (LGM) and may have acted as a positive feedback in glacial expansion at this time. However, the role of the NAC during the intensification of Northern Hemisphere glaciation (iNHG) at ~3.5 to 2.5 Ma is less clear. Here we present new records from Integrated Ocean Drilling Program Site U1313 (41°N) spanning ~2.8–2.4 Ma to trace the influence of Subarctic Front waters above this mid‐latitude site. We reconstruct surface and permanent pycnocline temperatures and seawater δ18O using paired Mg/Ca‐δ18O measurements on the planktic foraminifers Globigerinoides ruber and Globorotalia crassaformis and determine abundances of the subpolar foraminifer Neogloboquadrina atlantica. We find that the first significant glacial incursions of Subarctic Front surface waters above Site U1313 did not occur until ~2.6 Ma. At no time during our study interval was (sub)surface reorganization in the midlatitude North Atlantic analogous to the LGM. Our findings suggest that LGM‐like processes sensu stricto cannot be invoked to explain interglacial‐glacial cycle amplification during iNHG. They also imply that increased glacial productivity at Site U1313 during iNHG was not only driven by southward deflections of the Subarctic Front. We suggest that nutrient injection from cold‐core eddies and enhanced glacial dust delivery may have played additional roles in increasing export productivity in the midlatitude North Atlantic from 2.7 Ma.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018PA003412","usgsCitation":"Bolton, C.T., Bailey, I., Friedrich, O., Tachikawa, K., de Garidel-Thoron, T., Vidal, L., Sonzogni, C., Marino, G., Rohling, E.J., Robinson, M.M., Ermini, M., Koch, M., Cooper, M.J., and Wilson, P.A., 2018, North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation: Paleoceanography and Paleoclimatology, v. 33, no. 11, p. 1186-1205, https://doi.org/10.1029/2018PA003412.","productDescription":"20 p.","startPage":"1186","endPage":"1205","ipdsId":"IP-097975","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":460797,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018pa003412","text":"Publisher Index Page"},{"id":437661,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OFDVZ6","text":"USGS data release","linkHelpText":"Planktic foraminifer census data for ODP Sites 907, 909 and 911"},{"id":359881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","scienceBaseUri":"5c064edfe4b0815414cecb02","contributors":{"authors":[{"text":"Bolton, Clara T.","contributorId":191676,"corporation":false,"usgs":false,"family":"Bolton","given":"Clara","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":752961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Ian","contributorId":210997,"corporation":false,"usgs":false,"family":"Bailey","given":"Ian","email":"","affiliations":[{"id":35448,"text":"University of Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":752962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrich, Oliver","contributorId":210998,"corporation":false,"usgs":false,"family":"Friedrich","given":"Oliver","email":"","affiliations":[{"id":38165,"text":"Heidelberg University, Germany","active":true,"usgs":false}],"preferred":false,"id":752963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tachikawa, Kazuyo","contributorId":210999,"corporation":false,"usgs":false,"family":"Tachikawa","given":"Kazuyo","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Garidel-Thoron, Thibault","contributorId":211000,"corporation":false,"usgs":false,"family":"de Garidel-Thoron","given":"Thibault","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vidal, Laurence","contributorId":211001,"corporation":false,"usgs":false,"family":"Vidal","given":"Laurence","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonzogni, Corinne","contributorId":211002,"corporation":false,"usgs":false,"family":"Sonzogni","given":"Corinne","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marino, Gianluca","contributorId":211003,"corporation":false,"usgs":false,"family":"Marino","given":"Gianluca","email":"","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":752968,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rohling, Eelco J.","contributorId":211004,"corporation":false,"usgs":false,"family":"Rohling","given":"Eelco","email":"","middleInitial":"J.","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":752969,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":752960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ermini, Magali","contributorId":211005,"corporation":false,"usgs":false,"family":"Ermini","given":"Magali","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752970,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Koch, Mirjam","contributorId":211006,"corporation":false,"usgs":false,"family":"Koch","given":"Mirjam","email":"","affiliations":[{"id":38168,"text":"Goethe-Universitat Frankfurt, Germany","active":true,"usgs":false}],"preferred":false,"id":752971,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooper, Matthew J.","contributorId":211007,"corporation":false,"usgs":false,"family":"Cooper","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":752972,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilson, Paul A.","contributorId":211008,"corporation":false,"usgs":false,"family":"Wilson","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":752973,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70198996,"text":"sim3413 - 2018 - Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana","interactions":[],"lastModifiedDate":"2022-04-19T20:03:20.997761","indexId":"sim3413","displayToPublicDate":"2018-12-03T13:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3413","title":"Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana","docAbstract":"This geologic map of the central Beaverhead Mountains portrays a complex geologic history of depositional basin development interspersed with deformational events. Generalized geology for young basins, compiled from sources on both sides of the range, is combined with newly mapped bedrock geology to better integrate geologic development of the map area.
Successive extensional basins were obliquely oriented across deformed strata of each preceding basin and of the Paleoproterozoic basement. Strata deposited in these basins include (1) thick fine-grained arkosic strata of the Mesoproterozoic Lemhi basin deposited on Paleoproterozoic basement with shoreline exposed on the east side of the map, (2) siliciclastic and carbonate strata of the Late Neoproterozoic-early Paleozoic miogeocline that were deposited in deeper environments to the west and interfingered with cratonal basin deposits to the east, and (3) generally coarse deposits in several nested, fault-bounded Eocene to Holocene basins.
Syndepositional structural disruption including tilting and angular unconformities is present within strata and between stratigraphic packages formed during the different basin-filling events. Cretaceous, east-northeast-directed thrust faults inverted Mesoproterozoic and Neoproterozoic-Paleozoic basins and stacked strata from diverse stratigraphic packages and different depositional settings. The thrust plates rotated as they impinged on the Paleoproterozoic arch on the east side of the map, resulting in complex fault geometries that present as thrust faults to oblique reverse and tear (or ramp) fault along different fault segments. Cenozoic extension caused successive normal-fault basins of several orientations. Eocene volcanic rocks are preserved in fault-bounded depositional basins formed during the onset of Cenozoic extension. Eocene basins were obliquely overprinted by Oligocene-Miocene normal-fault basins. Holocene basins developed during steep normal faulting that formed the present Basin and Range topography.
This geologic map of the central Beaverhead Mountains is mapped at 1:24,000 scale and printable at 1:50,000 scale. These data were collected between 1997 and 2017 and synthesized to provide significant new stratigraphic and structural data and interpretations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3413","usgsCitation":"Lund, K., 2018, Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana: U.S. Geological Survey Scientific Investigations Map 3413, pamphlet 27 p., scale 1:50,000, https://doi.org/10.3133/sim3413.","productDescription":"Report: iv, 27 p.; 2 Sheets: 50.0 x 46.0 inches; Read Me; Data Release","onlineOnly":"Y","ipdsId":"IP-087570","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":399121,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108200.htm"},{"id":359707,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P905PTI4","text":"USGS data release","linkHelpText":"Digital Data for the Geologic Map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana"},{"id":359706,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_ReadMe.txt","text":"Read Me","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3413 Read Me"},{"id":359722,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_sheet_georeferenced.pdf","text":"Georeferenced Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Georeferenced Map"},{"id":359721,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_sheet.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Map"},{"id":359702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_pamphlet.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Pamphlet"},{"id":359701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3413/coverthb2.jpg"}],"scale":"50000","country":"United States","state":"Idaho, Montana","county":"Beaverhead County, Lemhi County","otherGeospatial":"central Beaverhead Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.6575,\n 44.6539\n ],\n [\n -113.1736,\n 44.6539\n ],\n [\n -113.1736,\n 45.0739\n ],\n [\n -113.6575,\n 45.0739\n ],\n [\n -113.6575,\n 44.6539\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046
As human populations increase, so does their influence over the environment. Altered terrain, degraded water quality, and threatened or endangered species are all-too-common consequences of a growing anthropogenic influence on the landscape. To help manage these effects, researchers have developed new ways to characterize current environmental conditions and help resource managers seek solutions to bring affected areas back to their best attainable health. Before an ecosystem can be improved, however, its current level of ecological stress must be determined. Characterizing environmental conditions at many sites across a landscape helps managers understand the range of current conditions and prioritize where they might focus restoration and protection efforts.
This report details the development of a prioritization framework to score riverine ecosystem stressors in a watershed based on example sites from the Tualatin River Basin in northwestern Oregon. The framework incorporated the most influential site-specific stressors throughout the basin built on a long history of data collection. These stressors were characterized with 13 metrics that were organized into 4 groups: hydrologic, water quality, physical habitat, and biological. Each stressor metric used readily accessible data and was translated to a score between 0 and 10. The higher the score, the healthier the site. This initial application of the framework used field observations and measurements to rank site conditions at two Tualatin River sites and four Tualatin River tributary sites. Given the versatility of this framework, it easily could be expanded to include more sites or new metrics, if necessary. Because stressors varied by season, all metrics for the tributary sites were scored separately during the wet season (November through April) and dry season (May through October). Water-quality data were available over a prolonged period; therefore, water-quality metrics were assessed by season and by decade (1990–99 compared to 2000–12) to evaluate long-term stressor trends.
Results for the Tualatin River Basin prioritization framework indicated that the urban tributaries demonstrated the greatest stress throughout the year, especially during the dry summer months. Spatially, the upper Tualatin River was healthier than the lower reaches of the river. Water-quality has improved in the last 10 years, mostly due to improvements in the dry period contaminant scores, but challenges remain with high water temperatures and low dissolved-oxygen conditions.
The biggest challenge with this type of research derived from inconsistencies within the available data. Both spatial and temporal data gaps must be addressed to improve the prioritization. Incorporating both discrete and continuous datasets into the prioritization framework remains a challenge because the datasets have slightly different information and criteria and are not always comparable. Regardless, this report provides guidelines for developing a prioritization framework that ranks the ecological health of sites in a watershed and provides guidance on management actions for improving conditions by targeting factors that greatly affect the health of river ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185153","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"Sobieszczyk, S., Jones, K.L., Rounds, S.A., Nilsen, E.B., and Morace, J.L., 2018, Prioritization framework for ranking riverine ecosystem stressors using example sites from the Tualatin River Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2018-5153, 40 p., https://doi.org/10.3133/sir20185153.","productDescription":"vii, 40 p.","onlineOnly":"Y","ipdsId":"IP-060830","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":359875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5153/sir20185153.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5153"},{"id":359874,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5153/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 45.3\n ],\n [\n -122.5,\n 45.3\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.3\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
In 2017, the Lake Superior fish community was sampled with daytime bottom trawls at 76 nearshore and 36 offshore stations. Spring nearshore and summer offshore water temperatures in 2017 were similar to slightly cooler than the 1991-2017 average. In the nearshore zone, a total of 28,902 individual fish from 27 species or morphotypes were collected. The number of species collected at each station ranged from 0 to 13, with a mean of 5.5 and median of 5. Lakewide nearshore mean biomass was 3.8 kg/ha which was below the long-term average of 8.7 kg/ha and the median lakewide biomass was 1.8 kg/ha. which was similar to the long-term average median value of 1.9 kg/ha. Lake Whitefish, Rainbow Smelt, Bloater, Longnose Sucker, and lean Lake Trout were the species with the highest lakewide average biomass. In the offshore zone, a total of 16,674 individuals from 13 species were collected lakewide. The average and median observed species richness at each station was 3.8 and 4 species, respectively, and ranged from 2 to 6 species. Deepwater Sculpin, Kiyi, and siscowet Lake Trout made up 99% of the total number of individuals and biomass collected in offshore waters. Mean and median lakewide biomass for all species in 2017 was 6.8 kg/ha and 6.6 kg/ha, respectively. This was similar to the long-term mean of 6.9 kg/ha and greater than that observed in 2014-2016. Nearshore average larval Coregonus densities in 2017 were greater than observed in any previous year; whereas offshore larval Coregonus densities were much less than observed in previous years.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Complied reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2017","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Vinson, M., Evrard, L.M., Gorman, O.T., and Yule, D., 2018, Status and Trends in the Lake Superior Fish Community, 2017, chap. of Complied reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2017, p. 1-11.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-095602","costCenters":[{"id":324,"text":"Great Lakes Science 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at Portland, Indiana","title":"Flood-inundation maps for the Salamonie River at Portland, Indiana","docAbstract":"Digital flood-inundation maps for a 6.5-mile reach of the Salamonie River at Portland, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Salamonie River at Portland, Ind. (station 03324200). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System web interface at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service (site PORI3) at https:/water.weather.gov/ahps/.
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the current (2018) stage-discharge relation at the Salamonie River at Portland, Ind., streamgage.
The hydraulic model then was used to compute nine water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 10.7 ft or near bankfull to 18.7 ft, which equals the highest point on the streamgage rating curve. The simulated water-surface profiles then were combined with a geographic information system digital elevation model derived from light detection and ranging data having a 0.49-ft root mean square error and 4.9-ft horizontal resolution resampled to a 10-ft grid to delineate the area flooded at each stage. The availability of these maps, along with information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185132","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Strauch, K.R., 2018, Flood-inundation maps for the Salamonie River at Portland, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5132, 9 p., https://doi.org/10.3133/sir20185132.","productDescription":"Report: vi, 9 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-089966","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":359800,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VM4BJD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Flood-inundation geospatial datasets for the Salamonie River at Portland, Indiana"},{"id":359798,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5132/coverthb.jpg"},{"id":359799,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5132/sir20185132.pdf","text":"Report","size":"996 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5132"}],"country":"United States","state":"Indiana","city":"Portland","otherGeospatial":"Salamonie River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.0587272644043,\n 40.38813537489036\n ],\n [\n -84.93925094604492,\n 40.38813537489036\n ],\n [\n -84.93925094604492,\n 40.44877593183776\n ],\n [\n -85.0587272644043,\n 40.44877593183776\n ],\n [\n -85.0587272644043,\n 40.38813537489036\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio Kentucky Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278
The outcomes of prairie reconstructions are subject to both unpredictability and complexity. Prairie, tallgrass, and mixed grass reconstruction is defined as the planting of a native herbaceous seed mixture composed of multiple prairie species (10 or more) in an area where the land has been heavily cultivated or anthropogenically disturbed. Because of the unpredictability and complexity inherent in reconstructions, some outcomes end up being failures dominated by exotic species. We propose that these failures follow a fat-tailed distribution as found in other complex systems. Fat-tailed distributions follow the Pareto principle, where 80% of the time reconstructions work as expected but 20% of the time they are surprising and far from the typical response. Therefore, we suggest managers be informed that reconstruction failures follow fat-tailed distributions as opposed to assuming reconstructions are simple and predictable with few failures. Once managers realize failures are inherent in reconstructions, resources can be allocated to more effective methods of dealing with failures rather than working to perfect the predictability of reconstructions. We suggest implementing adaptive management, especially where unpredictability is high, as a way to learn from failures. Combining learning from adaptive management with a reconstruction design process, in which goals and constraints are iteratively adjusted, can be a way to deal with failures and develop better outcomes.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.36.4.263","usgsCitation":"Norland, J.E., Dixon, C.S., Larson, D.L., Askerooth, K.L., and Geaumont, B.A., 2018, Prairie reconstruction unpredictability and complexity: What is the rate of reconstruction failures?: Ecological Restoration, v. 36, no. 4, p. 263-266, https://doi.org/10.3368/er.36.4.263.","productDescription":"4 p.","startPage":"263","endPage":"266","ipdsId":"IP-089782","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Norland, Jack E.","contributorId":214257,"corporation":false,"usgs":false,"family":"Norland","given":"Jack","email":"","middleInitial":"E.","affiliations":[{"id":39001,"text":"School of Natural Resources Sciences, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":759482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Cami S.","contributorId":208032,"corporation":false,"usgs":false,"family":"Dixon","given":"Cami","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askerooth, Kristine L.","contributorId":214258,"corporation":false,"usgs":false,"family":"Askerooth","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geaumont, Benjamin A.","contributorId":214259,"corporation":false,"usgs":false,"family":"Geaumont","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":39002,"text":"Hettinger Research Extension Center, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":759485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}