Small springs in semiarid landscapes are essential for maintaining aquatic biodiversity and supporting livestock grazing operations. However, little is known about controls on the distribution and physical characteristics of small springs, the aquatic species they support, or their sensitivity to disturbance. We address this information gap in the Crooked River subbasin, a tributary of the Deschutes River in Oregon. We conducted spatial analyses on 2,519 mapped springs to investigate the influence of landscape controls (precipitation and bedrock permeability) on spring density in the Crooked River subbasin and the adjacent Upper Deschutes subbasin. Spring density was highest in areas of low bedrock permeability (P < 0.0001) and high annual precipitation (P < 0.0001). We suggest that the high density of small springs on low‐permeability bedrock indicates that these springs generally have short, shallow flow paths and thus may be susceptible to forecasted climate changes. A survey of 137 springs in the Crooked River subbasin revealed the hydrogeologic setting affects spring discharge type (P = 0.017), temperature (P = 0.011), and pH (P = 0.026). We found a high frequency of anthropogenic impacts on springs: 95% of diffuse‐discharge springs and 79% of discrete‐discharge springs were disturbed by livestock grazing. Species inventories at 10 of the most intact surveyed springs confirm that small springs are biologically diverse, with 151 total species of plants and 135 total taxa of macroinvertebrates. Springs in the Crooked River subbasin are ecologically important habitats but require careful management to protect against livestock disturbance and development.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2065","usgsCitation":"Freed, Z., Aldous, A., and Gannett, M.W., 2019, Landscape controls on the distribution and ecohydrology of central Oregon springs: Ecohydrology, v. 12, no. 2, p. 1-16, https://doi.org/10.1002/eco.2065.","productDescription":"e2065; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-094168","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":360889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Freed, Zach","contributorId":212139,"corporation":false,"usgs":false,"family":"Freed","given":"Zach","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":755612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldous, Allison","contributorId":212140,"corporation":false,"usgs":false,"family":"Aldous","given":"Allison","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":755613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201879,"text":"70201879 - 2019 - Decision-making in agent-based modeling: A current review and future prospectus","interactions":[],"lastModifiedDate":"2019-01-31T15:10:29","indexId":"70201879","displayToPublicDate":"2019-01-31T15:10:28","publicationYear":"2019","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":"Decision-making in agent-based modeling: A current review and future prospectus","docAbstract":"All basic processes of ecological populations involve decisions; when and where to move, when and what to eat, and whether to fight or flee. Yet decisions and the underlying principles of decision-making have been difficult to integrate into the classical population-level models of ecology. Certainly, there is a long history of modeling individuals' searching behavior, diet selection, or conflict dynamics within social interactions. When all the individuals are given certain simple rules to govern their decision-making processes, the resultant population–level models have yielded important generalizations and theory. But it is also recognized that such models do not represent the way real individuals decide on actions. Factors that influence a decision include the organism's environment with its dynamic rewards and risks, the complex internal state of the organism, and its imperfect knowledge of the environment. In the case of animals, it may also involve complex social factors, and experience and learning, which vary among individuals. The way that all factors are weighed and processed to lead to decisions is a major area of behavioral theory.
While classic population-level modeling is limited in its ability to integrate decision-making in its actual complexity, the development of individual- or agent-based models (IBM/ABMs) (we use ABM throughout to designate both “agent-based modeling” and an “agent-based model”) has opened the possibility of describing the way that decisions are made, and their effects, in minute detail. Over the years, these models have increased in size and complexity. Current ABMs can simulate thousands of individuals in realistic environments, and with highly detailed internal physiology, perception and ability to process the perceptions and make decisions based on those and their internal states. The implementation of decision-making in ABMs ranges from fairly simple to highly complex; the process of an individual deciding on an action can occur through the use of logical and simple (if-then) rules to more sophisticated neural networks and genetic algorithms. The purpose of this paper is to give an overview of the ways in which decisions are integrated into a variety of ABMs and to give a prospectus on the future of modeling of decisions in ABMs.
","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2018.00237","usgsCitation":"DeAngelis, D.L., and Diaz, S.G., 2019, Decision-making in agent-based modeling: A current review and future prospectus: Frontiers in Ecology and Evolution, v. 6, p. 1-16, https://doi.org/10.3389/fevo.2018.00237.","productDescription":"Article 237; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-102146","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2018.00237","text":"Publisher Index Page"},{"id":360887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diaz, Stephanie G.","contributorId":212228,"corporation":false,"usgs":false,"family":"Diaz","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":755751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201820,"text":"70201820 - 2019 - The formation of gullies on Mars today","interactions":[],"lastModifiedDate":"2019-01-31T12:45:02","indexId":"70201820","displayToPublicDate":"2019-01-31T12:44:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"The formation of gullies on Mars today","docAbstract":"A decade of high-resolution monitoring has revealed extensive activity in fresh Martian gullies. Flows within the gullies are diverse: they can be relatively light, neutral or dark, colourful or bland, and range from superficial deposits to 10 m-scale topographic changes. We observed erosion and transport of material within gullies, new terraces, freshly eroded channel segments, migrating sinuous curves, channel abandonment, and lobate deposits. We also observed early stages of gully initiation, demonstrating that these processes are not merely modifying pre-existing landforms. The timing of activity closely correlates with the presence of seasonal CO2 frost, so the current changes must be part of ongoing gully formation that is driven largely by its presence. We suggest that the cumulative effect of many flows erodes alcoves and channels, and builds lobate aprons, with no involvement of liquid water. Instead, flows may be fluidized by sublimation of entrained CO2 ice or other mechanisms. The frequent activity is likely to have erased any features dating from high-obliquity periods, so fresh gully geomorphology at middle and high latitudes is not evidence for past liquid water. CO2 ice-driven processes may have been important throughout Martian geological history and their deposits could exist in the rock record, perhaps resembling debris-flow sediments.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP467.5","usgsCitation":"Dundas, C.M., McEwen, A.S., Diniega, S., Hansen, C.J., and McElwaince, J.N., 2019, The formation of gullies on Mars today: Geological Society, London, Special Publications, v. 467, p. 67-94, https://doi.org/10.1144/SP467.5.","productDescription":"28 p.","startPage":"67","endPage":"94","ipdsId":"IP-082415","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467952,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":360869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"467","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":755475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":755476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diniega, Serina","contributorId":212017,"corporation":false,"usgs":false,"family":"Diniega","given":"Serina","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":755477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":755478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McElwaince, Jim N.","contributorId":212018,"corporation":false,"usgs":false,"family":"McElwaince","given":"Jim","email":"","middleInitial":"N.","affiliations":[{"id":38386,"text":"Durham University/PSI","active":true,"usgs":false}],"preferred":true,"id":755479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203370,"text":"70203370 - 2019 - Seasonal distribution of Dall's porpoise in Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2019-05-09T12:53:12","indexId":"70203370","displayToPublicDate":"2019-01-31T12:43:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal distribution of Dall's porpoise in Prince William Sound, Alaska","docAbstract":"Dall's porpoise, Phocoenoides dalli, are a conspicuous predator in the Prince William Sound ecosystem, yet there has been little effort directed towards monitoring this species since the 1980s, prior to the Exxon Valdez oil spill. We used vessel-based surveys to examine the seasonal distribution of Dall's porpoise in the waters of Prince William Sound during eight years from 2007 to 2015. Over the course of 168 days and 15,653. km of survey effort, 921 Dall's porpoise were encountered in 210 groups. We estimate an encounter rate of 0.061 porpoise/km traveled or 1 porpoise encountered for every 16.5. km traveled. Dall's porpoise were found throughout the year in Prince William Sound, and used a wide range of habitats, including those not considered typical of the species, such as bays, shallow water, and nearshore waters. Dall's porpoise seasonally shifted their center of distribution from the western passages in fall to the bays of the eastern Sound in winter and spring. Dall's porpoises were widely dispersed throughout the Sound in summer. We identified potential Dall's porpoise habitat (depth, slope, and distance from shore) within Prince William Sound using generalized additive models (GAM). Dall's porpoise were found in deeper water during summer and in shallowest water during spring. We propose that their use of novel habitats is a function of reduced predation risk associated with the decline of their main predator, killer whales (Orcinus orca), following the Exxon Valdez oil spill, and the presence of overwintering and spawning Pacific herring (Clupea pallasii). While the size of the Dall's porpoise population within Prince William Sound remains unknown, our encounter rates were lower than those reported in the 1970s. Their high metabolic rate and ubiquitous presence makes them one of the more important, yet understudied, forage fish predators in the region.","language":"English","doi":"10.1016/j.dsr2.2017.11.002","usgsCitation":"Moran, J., O’Dell, M., Arimitsu, M.L., Straley, J.M., and Dickson, D., 2019, Seasonal distribution of Dall's porpoise in Prince William Sound, Alaska: Deep Sea Research Part II: Topical Studies in Oceanography, v. 147, p. 164-172, https://doi.org/10.1016/j.dsr2.2017.11.002.","productDescription":"9 p.","startPage":"164","endPage":"172","ipdsId":"IP-081589","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.11.002","text":"Publisher Index Page"},{"id":363644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.5,60.0 ], [ -148.5,61.0 ], [ -146.5,61.0 ], [ -146.5,60.0 ], [ -148.5,60.0 ] ] ] } } ] }","volume":"147","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moran, J.R.","contributorId":215437,"corporation":false,"usgs":false,"family":"Moran","given":"J.R.","email":"","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":762359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Dell, M.B.","contributorId":215438,"corporation":false,"usgs":false,"family":"O’Dell","given":"M.B.","email":"","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":762360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straley, Jan M","contributorId":215440,"corporation":false,"usgs":false,"family":"Straley","given":"Jan","email":"","middleInitial":"M","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":762362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickson, D.M.S.","contributorId":215439,"corporation":false,"usgs":false,"family":"Dickson","given":"D.M.S.","email":"","affiliations":[{"id":39247,"text":"North Pacific Research Board","active":true,"usgs":false}],"preferred":false,"id":762361,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201857,"text":"70201857 - 2019 - Lethal infection of wild raptors with highly pathogenic avian influenza H5N8 and H5N2 viruses in the USA, 2014–15","interactions":[],"lastModifiedDate":"2019-01-31T12:37:33","indexId":"70201857","displayToPublicDate":"2019-01-31T12:37:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Lethal infection of wild raptors with highly pathogenic avian influenza H5N8 and H5N2 viruses in the USA, 2014–15","docAbstract":"An outbreak of highly pathogenic avian influenza (HPAI) led to heavy losses of poultry in commercial farms in North America in 2014–15. Enhanced surveillance by virologists and pathologists at the US Geological Survey National Wildlife Health Center and its partners resulted in the identification of lethal infections with clade 2.3.4.4 subgroup icA2 H5N8 and novel reassortant H5N2 viruses in diverse wild raptor species that died concomitant with the poultry epizootic in the US. A range of pathologic abnormalities were present in dead raptors, including necrotizing encephalitis and myocarditis, pancreatic necrosis, and pulmonary congestion and edema. Raptors are highly susceptible to disease caused by infection with HPAI clade 2.3.4.4 viruses.
","language":"English","publisher":"BioOne","doi":"10.7589/2017-11-289","usgsCitation":"Knowles, S., Shearn-Bochsler, V.I., and Ip, S., 2019, Lethal infection of wild raptors with highly pathogenic avian influenza H5N8 and H5N2 viruses in the USA, 2014–15: Journal of Wildlife Diseases, v. 55, no. 1, p. 164-168, https://doi.org/10.7589/2017-11-289.","productDescription":"5 p.","startPage":"164","endPage":"168","ipdsId":"IP-091955","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":360867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":755539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":755538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":755540,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201817,"text":"70201817 - 2019 - The flood lavas of Kasei Valles, Mars","interactions":[],"lastModifiedDate":"2019-01-31T11:48:53","indexId":"70201817","displayToPublicDate":"2019-01-31T11:48:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"The flood lavas of Kasei Valles, Mars","docAbstract":"Both the northern and southern arms of Kasei Valles are occupied by platy-ridged flood lavas. We have mapped these flows and examined their morphology to better understand their emplacement. The lavas were emplaced as high-flux, turbulent flows (exceeding 106 m3 s−1). Lava in southern Kasei Valles can be traced back up onto the Tharsis rise, which is also the likely source of lavas in the northern arm. These eruptions were similar to, but somewhat smaller than, the Athabasca Valles flood lava in Elysium Planitia, with estimated volumes of > 1200 km3 here and 5000 km3 in Athabasca Valles. The flood lavas in both Kasei and Athabasca Valles have evidence for distal inflation as well as widespread drainage or volume loss in medial areas; this may be an important characteristic of many large, recent Martian eruptions. Despite their great size and flux, the Kasei Valles flood lavas are only a late modification to the valley system capable of only modest local erosion. The more vigorous Athabasca Valles lava may have been capable of somewhat more erosion in its smaller valley system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.11.008","usgsCitation":"Dundas, C.M., Cushing, G.E., and Keszthelyi, L.P., 2019, The flood lavas of Kasei Valles, Mars: Icarus, v. 321, p. 346-357, https://doi.org/10.1016/j.icarus.2018.11.008.","productDescription":"12 p.","startPage":"346","endPage":"357","ipdsId":"IP-095264","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467954,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8312693","text":"External Repository"},{"id":360865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"321","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":755471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":755472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":755473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201823,"text":"70201823 - 2019 - Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites","interactions":[],"lastModifiedDate":"2019-01-31T11:43:55","indexId":"70201823","displayToPublicDate":"2019-01-31T11:43:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites","docAbstract":"As part of the Great Lakes Restoration Initiative, paired edge-of-field sites were established in high priority subwatersheds to assess the effectiveness of agricultural management practices. One pairing was in Black Creek, a tributary to the Maumee River and Lake Erie. These fields were paired because of similarity in soils, topography, and agricultural management. Following two years of baseline data collection from these fields, consistent differences in water quantity and quality were observed for tile networks draining the fields, despite these fields being adjacent and managed together. Consequently, it was hypothesized that differences in subsurface water movement, specifically tile-drain density and connectivity, were the source of the observed differences. Our objective was to map the tile-drain network using remote sensing methodology in order to improve the understanding of nutrient and water transport as well as management on these fields. A combination of multispectral and thermal imagery, collected in spring of 2017, was incorporated to delineate the tile-drain network within each field. This imagery led to locating a cracked tile, which provided a direct path for overland flow to enter the tile-drain system and suggested that a tile-drain segment under the road connected the two fields. A ground-penetrating radar survey verified multiple tile locations, including the tile segment under the road. The distribution of these tiles helps explain the difference in water quantity and quality in the two fields.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.74.1.1","usgsCitation":"Williamson, T.N., Dobrowolski, E.G., Meyer, S.M., Frey, J.W., and Allred, B.J., 2019, Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites: Journal of Soil and Water Conservation, v. 74, no. 1, p. 1-11, https://doi.org/10.2489/jswc.74.1.1.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-094533","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":437592,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93R270D","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor"},{"id":437591,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DNURMT","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5"},{"id":437590,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N8ELYZ","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3"},{"id":437589,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EXXX2O","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2"},{"id":437588,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JC4SP6","text":"USGS data release","linkHelpText":"Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1"},{"id":437587,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRDJFS","text":"USGS data release","linkHelpText":"Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2"},{"id":360864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Shawn M. 0000-0001-8427-7426","orcid":"https://orcid.org/0000-0001-8427-7426","contributorId":212024,"corporation":false,"usgs":true,"family":"Meyer","given":"Shawn","email":"","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allred, Barry J.","contributorId":212023,"corporation":false,"usgs":false,"family":"Allred","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":38388,"text":"USDA, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":755491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201824,"text":"70201824 - 2019 - Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","interactions":[],"lastModifiedDate":"2019-01-31T11:41:56","indexId":"70201824","displayToPublicDate":"2019-01-31T11:41:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","docAbstract":"In order to simulate the potential effect of forecasted land‐cover change on streamflow and water availability, there has to be confidence that the hydrologic model used is sensitive to small changes in land cover (<10%) and that this land‐cover change exceeds the inherent uncertainty in forecasted conditions. To investigate this, a 26‐year streamflow record was simulated for 33 basins (54–928 km2) in the Delaware River Basin using three dates of land cover: the 2011 National Land‐Cover Dataset (Homer, Fry, & Barnes, 2012), 2030 land‐cover conditions representing median values from 101 equally‐likely forecasts, and 2060 land‐cover conditions corresponding to the same iterations used to represent 2030. Streamflow was simulated using a process‐based hydrologic model that includes both pervious and impervious methods as parameterized by three land‐cover‐based hydrologic response units (HRUs)—forested, agricultural, and developed land. Small, but significant differences in streamflow magnitude, variability, and seasonality were seen among the three time periods—2011, 2030, and 2060. Temporal differences were discernible from the range of conditions simulated with 101 equally likely forecasts for 2030. Development was co‐located with the most frequent landscape components, as characterized by topographic wetness index, resulting in a change in hydrology for each HRU, highlighting that knowing the location of disturbance is key to understanding potential streamflow changes. These results show that streamflow simulation using regional calibration that incorporates land‐cover‐based HRUs can be sensitive to relatively small changes in land‐cover and that temporal trends resulting from land‐cover change can be isolated in order to evaluate other changes that might affect water resources.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13315","usgsCitation":"Williamson, T.N., and Claggett, P.R., 2019, Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060: Hydrological Processes, v. 33, no. 1, p. 115-129, https://doi.org/10.1002/hyp.13315.","productDescription":"15 p.","startPage":"115","endPage":"129","ipdsId":"IP-084563","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":467955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13315","text":"Publisher Index Page"},{"id":360863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin ","volume":"33","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201778,"text":"ofr20181196 - 2019 - Contaminant baselines and sediment provenance along the Puget Sound Energy Transport Corridor, 2015","interactions":[],"lastModifiedDate":"2019-02-01T15:38:29","indexId":"ofr20181196","displayToPublicDate":"2019-01-31T11:09:47","publicationYear":"2019","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":"2018-1196","title":"Contaminant baselines and sediment provenance along the Puget Sound Energy Transport Corridor, 2015","docAbstract":"The transport of coal and oil can result in contaminated soil, water, and organisms from unintended releases. Trains carrying coal and crude oil regularly pass through Puget Sound, Washington, and an increase in the number of coal and oil trains is expected in the future. This study characterized levels of potentially toxic contaminants in sediment in September 2015: arsenic, metals, and polycyclic aromatic hydrocarbons (PAHs) at four sites with fine-grained sediment (Chuckanut Bay, Padilla Bay, Snohomish River Delta, Nisqually River Delta) adjacent to the Burlington Northern Santa Fe (BNSF) rail line in the Puget Sound region. Arsenic (As) and metals levels were compared to those measured at a fifth site, urban Saltwater State Park, which was expected to show contaminants associated with urbanization but not rail transport of coal and oil because it is not adjacent to the BNSF rail line. Knowledge about current properties of soil and sediment is essential for quantifying impacts of spills and other releases, and for setting remediation or restoration targets. For the sampling effort and timing of this study, all five sites had fine sediment contents of cadmium (Cd), mercury (Hg), lead (Pb), and zinc (Zn) below minimal effects levels. Pb and Zn appeared to be urban sourced. Median As, chromium (Cr), copper (Cu), and nickel (Ni) levels were in the range where adverse biological effects would possibly occur; however, Cr and Ni were geologically sourced and unlikely to be bioavailable to organisms. As, Cu, and antimony (Sb) levels were highly correlated, an association that is characteristic of legacy smelting operations; however, total sediment contents of these three elements, along with Hg and As/Sb ratios, were near natural levels and could indicate river-borne inputs. Median total PAH concentrations were highest at Snohomish River Delta, but were below minimal effects levels at all sites. Diagnostic PAH ratios were indicative of PAHs sourced from petroleum combustion and coal/biomass burning, rather than from spilled petroleum or coal. Rare earth element patterns were distinct among watersheds with Cascade volcanoes, granitic rocks, or non-volcanic sediments, making them promising sediment provenance indicators. Knowledge about sediment sources and contaminant distributions could provide unique insights about sediment-bound contaminant sourcing, delivery, and dispersal in nearshore regions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181196","usgsCitation":"Takesue, R.K., and Campbell, P.L., 2019, Contaminant baselines and sediment provenance along the Puget Sound Energy Transport Corridor, 2015: U.S. Geological Survey Open-File Report 2018–1196, 10 p., https://doi.org/10.3133/ofr20181196.","productDescription":"iv, 10 p.","onlineOnly":"Y","ipdsId":"IP-101826","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437594,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JCJ4EQ","text":"USGS data release","linkHelpText":"Inorganic compositional data for fine-grained Puget Sound sediment along the Burlington Northern Santa Fe rail line, September 2015"},{"id":360807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1196/coverthb.jpg"},{"id":360808,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1196/ofr20181196.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1196"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 47\n ],\n [\n -121.5,\n 47\n ],\n [\n -121.5,\n 49\n ],\n [\n -123.5,\n 49\n ],\n [\n -123.5,\n 47\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
Migratory birds like endangered whooping cranes (Grus americana) require suitable nocturnal roost sites during twice annual migrations. Whooping cranes primarily roost in shallow surface water wetlands, ponds, and rivers. All these features have been greatly impacted by human activities, which present threats to the continued recovery of the species. A portion of one such river, the central Platte River, has been identified as critical habitat for the survival of the endangered whooping crane. Management intervention is now underway to rehabilitate habitat form and function on the central Platte River to increase use and thereby contribute to the survival of whooping cranes. The goal of our analyses was to develop habitat selection models that could be used to direct riverine habitat management activities (i.e., channel widening, tree removal, flow augmentation, etc.) along the central Platte River and throughout the species’ range. As such, we focused our analyses on two robust sets of whooping crane observations and habitat metrics the Platte River Recovery Implementation Program (Program or PRRIP) and other such organizations could influence. This included channel characteristics such as total channel width, the width of channel unobstructed by dense vegetation, and distance of forest from the edge of the channel and flow-related metrics like wetted width and unit discharge (flow volume per linear meter of wetted channel width) that could be influenced by flow augmentation or reductions during migration. We used 17 years of systematic monitoring data in a discrete-choice framework to evaluate the influence these various metrics have on the relative probability of whooping crane use and found the width of channel unobstructed by dense vegetation and distance to the nearest forest were the best predictors of whooping crane use. Secondly, we used telemetry data obtained from a sample of 38 birds of all ages over the course of seven years, 2010–2016, to evaluate whooping crane use of riverine habitat within the North-central Great Plains, USA. For this second analysis, we focused on the two metrics found to be important predictors of whooping crane use along the central Platte River, unobstructed channel width and distance to nearest forest or wooded area. Our findings indicate resource managers, such as the Program, have the potential to influence whooping crane use of the central Platte River through removal of in-channel vegetation to increase the unobstructed width of narrow channels and through removal of trees along the bank line to increase unforested corridor widths. Results of both analyses also indicated that increases in relative probability of use by whooping cranes did not appreciably increase with unobstructed views ≥200 m wide and unforested corridor widths that were ≥330 m. Therefore, managing riverine sites for channels widths >200 m and removing trees beyond 165 m from the channel’s edge would increase costs associated with implementing management actions such as channel and bank-line disking, removing trees, augmenting flow, etc. without necessarily realizing an additional appreciable increase in use by migrating whooping cranes.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0209612","usgsCitation":"Baasch, D.M., Farrell, P.D., Howlin, S., Pearse, A.T., Farnsworth, J.M., and Smith, C.B., 2019, Whooping crane use of riverine stopover sites: PLoS ONE, v. 14, no. 1, p. 1-20, https://doi.org/10.1371/journal.pone.0209612.","productDescription":"e0209612; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-097703","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0209612","text":"Publisher Index Page"},{"id":360861,"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 -105.13916015625,\n 33.486435450999885\n ],\n [\n -95.97656249999999,\n 33.486435450999885\n ],\n [\n -95.97656249999999,\n 48.28319289548349\n ],\n [\n -105.13916015625,\n 48.28319289548349\n ],\n [\n -105.13916015625,\n 33.486435450999885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":755529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, Patrick D.","contributorId":212085,"corporation":false,"usgs":false,"family":"Farrell","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howlin, Shay","contributorId":206848,"corporation":false,"usgs":false,"family":"Howlin","given":"Shay","email":"","affiliations":[{"id":37415,"text":"Western EcoSystems Technology, Cheyenne, WY","active":true,"usgs":false}],"preferred":false,"id":755531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farnsworth, Jason M.","contributorId":212086,"corporation":false,"usgs":false,"family":"Farnsworth","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Chadwin B.","contributorId":212087,"corporation":false,"usgs":false,"family":"Smith","given":"Chadwin","email":"","middleInitial":"B.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70212585,"text":"70212585 - 2019 - Evaluation of EPT macroinvertebrate metrics in small streams located within the non-connected stormwater management region of Kansas City, Missouri, USA","interactions":[],"lastModifiedDate":"2020-08-21T14:13:38.280444","indexId":"70212585","displayToPublicDate":"2019-01-31T09:08:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3636,"text":"Transactions of the Missouri Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of EPT macroinvertebrate metrics in small streams located within the non-connected stormwater management region of Kansas City, Missouri, USA","docAbstract":"During 2012-2014, we evaluated macroinvertebrate communities in streams draining the non-connected stormwater management region (Municipal Separate Storm Sewer System, or MS4) within the Kansas City metropolitan area utilizing the Missouri bioassessment protocols. Trends in aquatic life impairment status based on Missouri's Macroinvertebrate Stream Condition Index (MSCI), as well as richness and abundance of EPT indicator metrics (Ephemeroptera, Plecoptera, Trichoptera), were compared between rural control sites and both transitional and urban stream sites representing varying stages of land use conversion. As compared to non-urban control sites, EPT taxa richness was significantly lower at MS4 urban sites during all three years (p = 0.007 – 0.013) and MS4 transitional sites during one of three years (p=0.48). EPT abundance (%) was significantly lower at MS4 urban sites during all years (p = 0.008 – 0.013) and MS4 transitional sites during one of three years (p=0.34). Mean EPT abundances ranged between 0.6% - 10.3% at urban MS4 sites, and always exceeded 18% at control sites. Both EPT richness and abundance were lower at the MS4 control site but means for EPT and other core metrics at this site were most often similar to non-urban control sites based on analysis of variance (ANOVA). MS4 transitional sites with active development in their watersheds were partially-supporting in their impairment status, and EPT metrics had lower means and generally more variability than control sites. Temporal trends indicate non-urban control and MS4 control sites consistently meet fully-supporting impairment status based on overall MSCI scores, but no study sites currently meet regional expectations (as defined by state reference streams) for either of the EPT metrics. Results indicate that Missouri and Kansas biocriteria for both EPT metrics are not consistently being met at any stream sites in the Kansas City metro area, including fully-supporting control sites and MS4 streams that receive stormwater runoff in watersheds with urban development that is well-established or currently transitioning to urban or suburban land uses.
","language":"English","publisher":"Transactions of the Missouri Academy of Science","doi":"10.30956/mas-29r1","usgsCitation":"Poulton, B.C., and Tao, J., 2019, Evaluation of EPT macroinvertebrate metrics in small streams located within the non-connected stormwater management region of Kansas City, Missouri, USA: Transactions of the Missouri Academy of Science, v. 47, no. 2019, p. 21-34, https://doi.org/10.30956/mas-29r1.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-091587","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30956/mas-29r1","text":"Publisher Index Page"},{"id":377723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Kansas City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.76806640624999,\n 38.736946065676\n ],\n [\n -93.71337890625,\n 38.736946065676\n ],\n [\n -93.71337890625,\n 39.36827914916014\n ],\n [\n -94.76806640624999,\n 39.36827914916014\n ],\n [\n -94.76806640624999,\n 38.736946065676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2019","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":796920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tao, Jing","contributorId":238945,"corporation":false,"usgs":false,"family":"Tao","given":"Jing","email":"","affiliations":[{"id":47824,"text":"Kansas City Water Services Dept.","active":true,"usgs":false}],"preferred":false,"id":796921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201807,"text":"70201807 - 2019 - Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","interactions":[],"lastModifiedDate":"2019-01-30T16:04:07","indexId":"70201807","displayToPublicDate":"2019-01-30T16:04:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","title":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","docAbstract":"The aim of this project was to compare the phenotypic responses of global populations of Lythrum salicaria in cold/dry and hot/humid environments to determine if phenotypic plasticity varied between the native and invasive ranges, and secondarily if this variation was linked to genetic diversity. Common garden studies were conducted in Třeboň, Czech Republic, and Lafayette, Louisiana, USA (cold/dry vs. hot/humid garden, respectively), using populations from latitudinal gradients in Eurasia and North America. Lythrum salicaria seeds collected from the same maternal plants across these latitudinal gradients were germinated and grown in Třeboň and Lafayette. Tissue masses (above-, below-ground, inflorescence and total) of these individuals were assessed at the end of each growing season (2006–2008). Worldwide field measurements of L. salicaria height were made by volunteers from 2004–2016. Biomass and height data were analyzed using the General Linear Model framework and multivariate techniques. Molecular markers (amplified fragment length polymorphisms) of individuals used in the common garden study were analyzed using traditional genetic diversity metrics and Bayesian clustering algorithms in STRUCTURE. Reaction norms were developed from differences in maternal plant responses in Třeboň versus Lafayette. In the common garden studies, stem/leaf, root and total biomass generally were highest for individuals grown from seeds collected in the southern part of the range in the cold garden, particularly by the third year of the study. In contrast, inflorescence biomass in the cold garden was higher by the third year in individuals from mid-latitude populations. As measured by volunteers, plants were taller in Eurasia than in North America moving from north to south with the pattern switching southward of 40°N latitude. Genetic diversity was similar between native and non-native invasive populations regardless of geographical origin of the seed and was not significantly different in the GLM Select model (p > 0.05). Reaction norm slopes showed that Eurasia had larger values than North America for reaction norms for above-ground and total biomass. Plants from the seeds of mother plants from Turkey had wide variation in total biomass when grown in Třeboň versus Lafayette; this variation in response within certain populations may have contributed to the lack of population-level differences in plasticity. These results indicate no loss of genetic diversity for L. salicaria during its North American invasion, nor reduction in plastic tissue allocation responses to a varying environment, which may help explain some of its invasive qualities and which could be of adaptive value under changing future environments.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0208300","usgsCitation":"Middleton, B.A., Travis, S.E., Kubatova, B., Johnson, D., and Edwards, K.R., 2019, Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens: PLoS ONE, v. 14, no. 1, p. 1-24, https://doi.org/10.1371/journal.pone.0208300.","productDescription":"e0208300; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-060249","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467958,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0208300","text":"Publisher Index Page"},{"id":437595,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74M92P8","text":"USGS data release","linkHelpText":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens"},{"id":360844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, Steven E.","contributorId":211992,"corporation":false,"usgs":false,"family":"Travis","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":755433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kubatova, Barbora","contributorId":211993,"corporation":false,"usgs":false,"family":"Kubatova","given":"Barbora","email":"","affiliations":[{"id":38382,"text":"University of South Bohemia","active":true,"usgs":false}],"preferred":false,"id":755434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Keith R.","contributorId":29906,"corporation":false,"usgs":true,"family":"Edwards","given":"Keith","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":755435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201781,"text":"70201781 - 2019 - Uncertainty and risk evaluation during the exploration stage of geothermal development: A review","interactions":[],"lastModifiedDate":"2019-01-30T13:59:11","indexId":"70201781","displayToPublicDate":"2019-01-30T13:59:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty and risk evaluation during the exploration stage of geothermal development: A review","docAbstract":"Quantifying and representing uncertainty for geothermal systems is often ignored, in practice, during the exploration phase of a geothermal development project. We propose that this occurs potentially because the task seems so formidable. The primary goal of this paper is to initiate a dialogue within the geothermal community about: which geothermal uncertainties should receive the most attention and which uncertainty analysis methods could provide the greatest benefit for the advancement of the geothermal energy industry. Specifically, in this paper, we review uncertainty quantification techniques that are applicable to geothermal exploration. In general, uncertainty associated with data acquisition/processing (i.e., objective uncertainty) is small compared to the uncertainty in interpretational space (i.e., subjective uncertainty) that lies between data points where extrapolation is required. Therefore, it is important to classify, assess, and quantify uncertainty to help select strategies to reduce uncertainty and to better gauge the impact that separate uncertainties have on the overall likelihood of project success. The discipline of geostatistics provides multiple quantitative methods for producing stochastic models which adhere to measured data and spatial correlation. The petroleum industry has successfully used both geostatistics and decision analysis methods to combine diverse and multiple types of uncertainties. We argue that instead of one single and final interpretation of the geothermal system, numerous interpretations may be more indicative of the possible subsurface scenarios, and these different scenarios can be evaluated using decision analyses and value of information methodologies. Finally, we recommend that the potential power generation of a geothermal reservoir should be grounded in the geologic data and modeling for a specific field and their estimated uncertainties.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2018.12.011","usgsCitation":"Witter, J.B., Trainor-Guitton, W.J., and Siler, D.L., 2019, Uncertainty and risk evaluation during the exploration stage of geothermal development: A review: Geothermics, v. 78, p. 233-242, https://doi.org/10.1016/j.geothermics.2018.12.011.","productDescription":"10 p.","startPage":"233","endPage":"242","ipdsId":"IP-102996","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Witter, Jeffrey B. 0000-0002-1357-1481","orcid":"https://orcid.org/0000-0002-1357-1481","contributorId":211948,"corporation":false,"usgs":false,"family":"Witter","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[{"id":38365,"text":"Innovate Geothermal Ltd.","active":true,"usgs":false}],"preferred":false,"id":755363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trainor-Guitton, Whitney J. 0000-0002-5726-3886","orcid":"https://orcid.org/0000-0002-5726-3886","contributorId":211949,"corporation":false,"usgs":false,"family":"Trainor-Guitton","given":"Whitney","email":"","middleInitial":"J.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":755364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201782,"text":"70201782 - 2019 - The missing dead: The lost role of animal remains in nutrient cycling in North American Rivers","interactions":[],"lastModifiedDate":"2019-01-30T13:57:15","indexId":"70201782","displayToPublicDate":"2019-01-30T13:57:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"The missing dead: The lost role of animal remains in nutrient cycling in North American Rivers","docAbstract":"While leaf litter, wood, and other plant remnants are known to play a central role in lotic ecosystems, animal remains (carcasses, bones, shells) have received less attention. We propose a simple classification scheme for animal remains in rivers based on origin (authochthonous vs. allochthonous) and frequency (pulsed vs continuous). We then present case studies in which we estimate the former biomass of several taxonomic groups that are now diminished in abundance to determine whether their remains could have historically constituted a significant flux of nutrients in rivers of North America. We focus on bones and shells, which decompose slowly and could provide long-term reservoirs of nutrients. We find that carcasses of alligator snapping turtles, once abundant in southeastern rivers, could have provided an amount of phosphorus equivalent to about 1% of total phosphorus (TP) load at median flow, and more at low flows. Mussel shells could have contributed a similar amount (0.8% of TP) but the contribution of beaver carcasses, even at former abundances, was likely small. In contrast, a single documented mass drowning of bison in the Assiniboine River could have contributed half the annual TP load for that river. Such drownings could have been a common occurrence prior to the loss of most wild terrestrial megafauna in North America. We conclude that animal remnants, particularly allochthonous remains from terrestrial animals, formerly played a substantial role in nutrient cycling. Existing models of ecosystem function under reference conditions are incomplete without consideration of these lost animal legacies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00106","usgsCitation":"Wenger, S., Subalusky, A.L., and Freeman, M., 2019, The missing dead: The lost role of animal remains in nutrient cycling in North American Rivers: Food Webs, v. 18, p. 1-6, https://doi.org/10.1016/j.fooweb.2018.e00106.","productDescription":"article e00106; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-101338","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00106","text":"Publisher Index Page"},{"id":360823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":755366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Subalusky, Amanda L.","contributorId":211950,"corporation":false,"usgs":false,"family":"Subalusky","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":755367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199849,"text":"fs20183071 - 2019 - Assessment of continuous gas resources in the Montney and Doig Formations, Alberta Basin Province, Canada, 2018","interactions":[],"lastModifiedDate":"2019-01-30T14:20:02","indexId":"fs20183071","displayToPublicDate":"2019-01-30T12:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3071","title":"Assessment of continuous gas resources in the Montney and Doig Formations, Alberta Basin Province, Canada, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 47.6 trillion cubic feet of gas and 2.2 billion barrels of natural gas liquids in the Montney and Doig Formations of the Alberta Basin Province in Canada.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183071","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Woodall, C.A., Le, P.A., Brownfield, M.E., Marra, K.R., and Leathers-Miller, H.M., 2019, Assessment of continuous gas resources in the Montney and Doig Formations, Alberta Basin Province, Canada, 2018: U.S. Geological Survey Fact Sheet 2018–3071, 2 p., https://doi.org/10.3133/fs20183071.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-100420","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360651,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3071/fs20183071.pdf","text":"Report","size":"952 kB ","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3071"},{"id":360650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3071/coverthb.jpg"}],"country":"Canada","otherGeospatial":"Alberta Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 53\n ],\n [\n -116,\n 53\n ],\n [\n -116,\n 58\n ],\n [\n -124,\n 58\n ],\n [\n -124,\n 53\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
The potential for a major earthquake in the Shumagin seismic gap, and the tsunami it could generate, was reported in 1971. However, while potentially tsunamigenic splay faults in the adjacent Unimak and Semidi earthquake segments are known, such features along the Shumagin segment were undocumented until recently. To investigate margin structure and search for splay faults, we reprocessed six legacy seismic records and also processed seismic data acquired by RV Langseth during the ALEUT project (cf. Bécel et al., 2017). All records show splay faults separating the frontal prism from the margin framework. A ridge uplifted by the splay fault hanging wall extends along the entire segment. At the plate interface, the splay fault cuts across subducted sediment strata in some images, whereas in others, the plate interface sediment cuts across the fault. Splay fault zones are commonly associated with subducting lower-plate relief.
Along the upper slope, beneath a sediment cover, major normal faults dipping landward and seaward border a ridge of basement rock. The faults displace a regional unconformity that elsewhere received Oligocene–Miocene sediment. Low seafloor scarps above some normal faults indicate recent tectonism. The buried ridge is a continuation of the Unimak Ridge structure that extends NE of the Unimak/Shumagin segment boundary. Some geological characteristics of the Shumagin segment differ from those of other Alaskan earthquake segments, but a causal link to the proposed Shumagin creeping seismic behavior is equivocal.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01657.1","usgsCitation":"von Huene, R.E., Miller, J.J., and Krabbenhoeft, A., 2019, The Shumagin seismic gap structure and associated tsunami hazards, Alaska convergent margin: Geosphere, v. 15, no. 2, p. 324-341, https://doi.org/10.1130/GES01657.1.","productDescription":"18 p.","startPage":"324","endPage":"341","ipdsId":"IP-105039","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01657.1","text":"Publisher Index Page"},{"id":361152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163,\n 53\n ],\n [\n -158,\n 53\n ],\n [\n -158,\n 55.3791104480105\n ],\n [\n -163,\n 55.3791104480105\n ],\n [\n -163,\n 53\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":757019,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":757016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":757017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoeft, Anne","contributorId":208084,"corporation":false,"usgs":false,"family":"Krabbenhoeft","given":"Anne","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":757018,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201169,"text":"70201169 - 2019 - Seismic velocity structure across the 2013 Craig, Alaska rupture from aftershock tomography: Implications for seismogenic conditions","interactions":[],"lastModifiedDate":"2019-01-30T14:23:35","indexId":"70201169","displayToPublicDate":"2019-01-29T15:18:53","publicationYear":"2019","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":"Seismic velocity structure across the 2013 Craig, Alaska rupture from aftershock tomography: Implications for seismogenic conditions","docAbstract":"The 2013 Craig, Alaska MW 7.5 earthquake ruptured along ∼150 km of the Queen Charlotte Fault (QCF), a right-lateral strike-slip plate boundary fault separating the Pacific and North American plates. Regional shear wave analyses suggest that the Craig earthquake rupturepropagated in the northward direction faster than the S-wave (supershear). Theoretical studies suggest that a bimaterial interface, such as that along the QCF, which separates oceanic and continental crust with differing elastic properties, can promote supershear rupture propagation. We deployed short-period ocean-bottom seismometers (OBS) as a part of a rapid-response effort less than four months after the Craig earthquake mainshock. During a 21-day period, 1,133 aftershocks were recorded by 8 OBS instruments. Aftershock spatial distribution indicates that the base of the seismogenic zone along the QCF approaches ∼25 km depth, consistent with a thermally-controlled fault rheology expected for igneous rocks at oceanic transform faults. The spatial distribution also provides supporting evidence for a previously hypothesized active strand of the QCF system within the Pacific Plate. Tomographic traveltime inversion for velocity structure indicates a low-velocity (VP and VS) zone on the Pacific side of the plate boundary at 5–20 km depths, where NeogenePacific crust and upper mantle seismic velocities average ∼3–11% slower than the North American side, where the Paleozoic North American crust is seismically faster. Our results suggest that elastic properties along the studied portion of the QCF are different than those of a simple oceanic–continental plate boundary fault. In our study region, velocity structure across the QCF, while bimaterial, does not support faster material on the west side of the fault, which has been proposed as one possible explanation for northward supershear propagation during the Craig earthquake. Instead, we image low-velocity material on the west side of the fault. Explanations could include that part of the rupture was subshear, or that fault damage zone properties or fault smoothness are more important controls on supershear rupture than a bimaterial contrast.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.11.021","usgsCitation":"Walton, M.A., Roland, E., Walter, J.I., Gulick, S.P., and Dotray, P., 2019, Seismic velocity structure across the 2013 Craig, Alaska rupture from aftershock tomography: Implications for seismogenic conditions: Earth and Planetary Science Letters, v. 507, p. 94-104, https://doi.org/10.1016/j.epsl.2018.11.021.","productDescription":"11 p.","startPage":"94","endPage":"104","ipdsId":"IP-085883","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467964,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.11.021","text":"Publisher Index Page"},{"id":360813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Craig","otherGeospatial":"Queen Charlotte Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140,\n 50\n ],\n [\n -128,\n 50\n ],\n [\n -128,\n 60\n ],\n [\n -140,\n 60\n ],\n [\n -140,\n 50\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"507","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walton, Maureen A. 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It presents unique challenges for national programme governance and delivery because wildlife health crosses not only jurisdictional responsibilities and authorities but also inherently spans multiple sectors of expertise. The World Organisation for Animal Health (OIE) encourages its Members to have wildlife disease monitoring and notification systems. Where national wildlife health surveillance programmes do exist, they vary in scope and size. Evidence-based guidance is lacking on the critical functions and roles needed to meet the OIE’s recommendations and other expectations of a national programme. A literature review and consultation with national wildlife health programme leaders identified five key attributes of national programmes including: (1) being knowledge and science based; (2) fostering cross-nation equivalence and harmonisation; (3) developing partnerships and national coordination; (4) providing leadership and administration of national efforts and (5) capacity development. Proposed core purposes include: (1) establishing and communication of the national wildlife health status; (2) leading national planning; (3) centralising information and expertise; (4) developing national networks leading to harmonisation and collaborations; (5) developing wildlife health workforces and (6) centralising administration and management of national programmes. A national wildlife health programme should aim to identify, effectively communicate, and manage the risk to or from a country’s wildlife populations. It should generate the appropriate knowledge required to improve the effectiveness of wildlife policies and systems, including identifyinhttp://www.oie.int/en/publications-and-documentation/scientific-and-technical-review-free-access/peer-reviewed-papers-for-the-plurithematic-review-2018/g and assessing emerging priorities, thus increasing warning for preparedness and preventive actions.
","language":"English","publisher":"OIE - World Organisation for Animal Health","doi":"10.20506/37.3.2896","usgsCitation":"Stephen, C., Sleeman, J.M., Nguyen, N.T., Zimmer, P., Duff, J.P., Gavier-Widen, D., Grillo, T., Lee, H., Rijks, J., Ryser-Degiorgis, M., Tana, T., and Uhart, M., 2019, Proposed attributes of national wildlife health programmes: Scientific and Technical Review, v. 37, no. 3, p. 925-936, https://doi.org/10.20506/37.3.2896.","productDescription":"12 p.","startPage":"925","endPage":"936","ipdsId":"IP-087529","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":502422,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://dspace.library.uu.nl:8080/handle/1874/375440","text":"External Repository"},{"id":360799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephen, Craig","contributorId":168939,"corporation":false,"usgs":false,"family":"Stephen","given":"Craig","email":"","affiliations":[],"preferred":false,"id":755309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":755310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Natalie T. 0000-0001-9389-1655 ntnguyen@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-1655","contributorId":195838,"corporation":false,"usgs":true,"family":"Nguyen","given":"Natalie","email":"ntnguyen@usgs.gov","middleInitial":"T.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":755311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmer, P.","contributorId":211939,"corporation":false,"usgs":false,"family":"Zimmer","given":"P.","email":"","affiliations":[],"preferred":false,"id":755312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duff, J. 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To better understand the complex interactions of land-use practices, water quality, and ecological integrity of streams, the U.S. Geological Survey National Water Quality Assessment Project is conducting regional-scale assessments of stream condition across the United States. In the summer of 2013, weekly water samples were collected from 100 streams in the Midwestern United States. Employing watershed theory, we used structural equation modeling (SEM) to represent a general hypothesis for how 16 variables (previously identified to be important to stream condition) might be inter-related. Again, using SEM, we evaluated the ability of this “stressor network” to explain variations in multimetrics of algal, invertebrate, and fish community health, trimming away any environmental variables not contributing to an explanation of the ecological responses. Seven environmental variables—agricultural and urban land use, sand content of soils, basin area, percent riparian area as forest, channel erosion, and relative bed stability—were found to be important for all three-community metrics. The algal and invertebrate models included water-chemistry variables not included in the fish model. Results suggest that ecological integrity of Midwest streams are affected by both agricultural and urban land uses and by the natural geologic setting, as indicated by the sand content of soils. Chemicals related to crops (pesticides and nutrients) and residential uses (pyrethroids) were found to be more strongly related to ecological integrity than were natural factors (riparian forest, watershed soil character).
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b04381","usgsCitation":"Schmidt, T., Van Metre, P.C., and Carlisle, D.M., 2019, Linking the agricultural landscape of the Midwest to stream health with structural equation modeling: Environmental Science & Technology, v. 53, no. 1, p. 452-462, https://doi.org/10.1021/acs.est.8b04381.","productDescription":"11 p.","startPage":"452","endPage":"462","ipdsId":"IP-099323","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.8b04381","text":"Publisher Index Page"},{"id":360798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":755306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":755308,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201741,"text":"70201741 - 2019 - Widespread loss of lake ice around the Northern Hemisphere in a warming world","interactions":[],"lastModifiedDate":"2019-03-04T11:14:34","indexId":"70201741","displayToPublicDate":"2019-01-29T14:32:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Widespread loss of lake ice around the Northern Hemisphere in a warming world","docAbstract":"Ice provides a range of ecosystem services—including fish harvest, cultural traditions, transportation, recreation and regulation of the hydrological cycle—to more than half of the world’s 117 million lakes. One of the earliest observed impacts of climatic warming has been the loss of freshwater ice, with corresponding climatic and ecological consequences. However, while trends in ice cover phenology have been widely documented, a comprehensive large-scale assessment of lake ice loss is absent. Here, using observations from 513 lakes around the Northern Hemisphere, we identify lakes vulnerable to ice-free winters. Our analyses reveal the importance of air temperature, lake depth, elevation and shoreline complexity in governing ice cover. We estimate that 14,800 lakes currently experience intermittent winter ice cover, increasing to 35,300 and 230,400 at 2 and 8 °C, respectively, and impacting up to 394 and 656 million people. Our study illustrates that an extensive loss of lake ice will occur within the next generation, stressing the importance of climate mitigation strategies to preserve ecosystem structure and function, as well as local winter cultural heritage.
","language":"English","publisher":"Nature","doi":"10.1038/s41558-018-0393-5","usgsCitation":"Sharma, S., Blagrave, K., Magnuson, J.J., O’Reilly, C.M., Oliver, S.K., Batt, R., Magee, M.R., Straile, D., Weyhenmeyer, G.A., Winslow, L., and Woolway, R., 2019, Widespread loss of lake ice around the Northern Hemisphere in a warming world: Nature Climate Change, v. 9, p. 227-231, https://doi.org/10.1038/s41558-018-0393-5.","productDescription":"5 p.","startPage":"227","endPage":"231","ipdsId":"IP-100691","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":360797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":755130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blagrave, Kevin","contributorId":211887,"corporation":false,"usgs":false,"family":"Blagrave","given":"Kevin","email":"","affiliations":[{"id":38342,"text":"Department of Biology, York University, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":755131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnuson, John J.","contributorId":211889,"corporation":false,"usgs":false,"family":"Magnuson","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":38344,"text":"Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":755139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":755132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batt, Ryan D.","contributorId":168948,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan D.","affiliations":[{"id":25393,"text":"Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901","active":true,"usgs":false}],"preferred":false,"id":755133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magee, Madeline R.","contributorId":211888,"corporation":false,"usgs":false,"family":"Magee","given":"Madeline","email":"","middleInitial":"R.","affiliations":[{"id":38343,"text":"Wisconsin Department of Natural Resources, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":755134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straile, Dietmar","contributorId":150309,"corporation":false,"usgs":false,"family":"Straile","given":"Dietmar","email":"","affiliations":[{"id":17983,"text":"Department of Biology, Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":755135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":755136,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Winslow, Luke A. 0000-0002-8602-5510","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":211187,"corporation":false,"usgs":false,"family":"Winslow","given":"Luke A.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":755137,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":755138,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ]}