Among the most pressing concerns of land managers in post-wildfire landscapes are the establishment and spread of invasive species. Land managers need accurate maps of invasive species cover for targeted management post-disturbance that are easily transferable across space and time. In this study, we sought to develop an iterative, replicable methodology based on limited invasive species occurrence data, freely available remotely sensed data, and open source software to predict the distribution of Bromus tectorum (cheatgrass) in a post-wildfire landscape. We developed four species distribution models using eight spectral indices derived from five months of Landsat 8 Operational Land Imager (OLI) data in 2014. These months corresponded to both cheatgrass growing period and time of field data collection in the study area. The four models were improved using an iterative approach in which a threshold for cover was established, and all models had high sensitivity values when tested on an independent dataset. We also quantified the area at highest risk for invasion in future seasons given 2014 distribution, topographic covariates, and seed dispersal limitations. These models demonstrate the effectiveness of using derived multi-date spectral indices as proxies for species occurrence on the landscape, the importance of selecting thresholds for invasive species cover to evaluate ecological risk in species distribution models, and the applicability of Landsat 8 OLI and the Software for Assisted Habitat Modeling for targeted invasive species management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2017.03.009","usgsCitation":"West, A.M., Evangelista, P.H., Jarnevich, C.S., Kumar, S., Swallow, A., Luizza, M., and Chignell, S., 2017, Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software: International Journal of Applied Earth Observation and Geoinformation, v. 59, p. 135-146, https://doi.org/10.1016/j.jag.2017.03.009.","productDescription":"12 p.","startPage":"135","endPage":"146","ipdsId":"IP-062677","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469621,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2017.03.009","text":"Publisher Index Page"},{"id":438249,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J67F5X","text":"USGS data release","linkHelpText":"Cheatgrass mapping in Squirrel Creek Wildfire, WY in 2014"},{"id":344581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59858804e4b05ba66e9ea291","contributors":{"authors":[{"text":"West, Amanda M.","contributorId":176705,"corporation":false,"usgs":false,"family":"West","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evangelista, Paul H.","contributorId":14747,"corporation":false,"usgs":true,"family":"Evangelista","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":707233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kumar, Sunil","contributorId":195493,"corporation":false,"usgs":false,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":707234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swallow, Aaron","contributorId":195494,"corporation":false,"usgs":false,"family":"Swallow","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":707235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luizza, Matthew","contributorId":169629,"corporation":false,"usgs":false,"family":"Luizza","given":"Matthew","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":707236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chignell, Steve","contributorId":195495,"corporation":false,"usgs":false,"family":"Chignell","given":"Steve","email":"","affiliations":[],"preferred":false,"id":707237,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190020,"text":"70190020 - 2017 - Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA","interactions":[],"lastModifiedDate":"2017-09-05T12:31:59","indexId":"70190020","displayToPublicDate":"2017-08-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA","docAbstract":"Climate change is forecast to bring more frequent and intense precipitation to New York which has motivated research into the effects of floods on stream ecosystems. Macroinvertebrate assemblages were sampled at 13 sites in the Mohawk River basin during August 2011, and again in October 2011, following historic floods caused by remnants of Hurricane Irene and Tropical Storm Lee. The annual exceedance probabilities of floods at regional flow-monitoring sites ranged from 0.5 to 0.001. Data from the first 2 surveys, and from additional surveys done during July and October 2014, were assessed to characterize the severity of flood impacts, effect of seasonality, and recovery. Indices of total taxa richness; Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness; Hilsenhoff's biotic index; per cent model affinity; and nutrient biotic index-phosphorus were combined to calculate New York State Biological Assessment Profile scores. Analysis of variance tests were used to determine if the Biological Assessment Profile, its component metrics, relative abundance, and diversity differed significantly (p ≤ .05) among the four surveys. Only total taxa richness and Shannon–Wiener diversity increased significantly, and abundance decreased significantly, following the floods. No metrics differed significantly between the July and August 2014 surveys which indicates that the differences denoted between the August and October 2011 surveys were caused by the floods. Changes in taxa richness, EPT richness, and diversity were significantly correlated with flood annual exceedance probabilities. This study increased our understanding of the resistance and resilience of benthic macroinvertebrate communities by showing that their assemblages were relatively impervious to extreme floods across the region.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3158","usgsCitation":"Calderon, M.R., Baldigo, B.P., Smith, A., and Endreny, T.A., 2017, Effects of extreme floods on macroinvertebrate assemblages in tributaries to the Mohawk River, New York, USA: River Research and Applications, v. 33, no. 7, p. 1060-1070, https://doi.org/10.1002/rra.3158.","productDescription":"11 p.","startPage":"1060","endPage":"1070","ipdsId":"IP-082245","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469620,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/rra.3158","text":"External Repository"},{"id":344584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Mohawk River","volume":"33","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59858808e4b05ba66e9ea29c","contributors":{"authors":[{"text":"Calderon, Mirian R.","contributorId":195488,"corporation":false,"usgs":false,"family":"Calderon","given":"Mirian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":707212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Endreny, Theodore A.","contributorId":195489,"corporation":false,"usgs":false,"family":"Endreny","given":"Theodore","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707213,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188747,"text":"ofr20171072 - 2017 - Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","interactions":[],"lastModifiedDate":"2017-08-04T14:35:14","indexId":"ofr20171072","displayToPublicDate":"2017-08-03T17:25:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1072","displayTitle":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","title":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","docAbstract":"The U.S. Army Garrison Fort Carson (AGFC) and the Piñon Canyon Maneuver Site (PCMS) are facilities operated by the U.S. Department of the Army in southern Colorado. The U.S. Geological Survey, in cooperation with the U.S. Department of the Army, established a hydrologic and water-quality data-collection network at the AGFC in June 1978 and at the PCMS in October 1982. The data-collection networks are designed to assess the quantity and quality of water resources and monitor the effects of military training activities on streamflow and water quality. Two preexisting U.S. Geological Survey streamgages at the PCMS were incorporated into the data-collection network at the time it was established, providing periods of record that begin as early as 1966. This report presents and summarizes precipitation, streamflow, suspended-sediment, and water-quality data from 34 U.S. Geological Survey sites on or near the AGFC and the PCMS for the period of record at each site. (Streamflow data are presented as discharge in cubic feet per second.)
At AGFC, daily sum precipitation ranged from 0 to 11.85 inches, daily mean discharge ranged from 0 to 836 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 39,900 tons per day. With the exception of total (unfiltered) mercury and filtered sulfate at two sites and filtered manganese at three sites, 95th percentile trace element concentrations and median total (unfiltered) metal concentrations were less than regulatory numeric standards for all samples. However, individual water-quality results occasionally exceeded respective regulatory numeric standards.
At the PCMS, daily sum precipitation ranged from 0 to 4.59 inches, daily mean discharge ranged from 0 to 4,190 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 21,100 tons per day. Water-quality results, 95th percentile trace element concentrations, and median total (unfiltered) metal concentrations were less than regulatory numeric standards for most properties and constituents except for filtered chloride at one site, filtered sulfate at six sites, filtered phosphorus at one site, filtered manganese at three sites, and total (unfiltered) iron at three sites. Individual water-quality values also occasionally exceeded respective regulatory numeric standards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171072","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Arnold, L.R., 2017, Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015: U.S. Geological Survey Open-File Report 2017–1072, 130 p., https://doi.org/10.3133/ofr20171072.","productDescription":"v, 129 p.","onlineOnly":"Y","ipdsId":"IP-086258","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":344560,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1072/ofr20171072.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1072"},{"id":344559,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1072/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piñon Canyon Maneuver Site, U.S. Army Garrison Fort Carson","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.05,\n 38.77\n ],\n [\n -104.59,\n 38.77\n ],\n [\n -104.59,\n 38.4\n ],\n [\n -105.05,\n 38.4\n ],\n [\n -105.05,\n 38.77\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225
Great Lakes fishery managers have the opportunity and have expressed interest in reestablishing a native forage base in the Great Lakes consisting of various forms and species within the genus Coregonus. This report summarizes the proceedings of a workshop focused on a subset of the genus, and the term “coregonines” is used to refer to several species of deepwater ciscoes (also known as “chubs”) and the one more pelagic-oriented cisco species (Coregonus artedi, also known as “lake herring”). As the principal conservation agency for the United States Government, the Department of Interior has unique and significant authorities and capacities to support a coregonine reestablishment program in the Great Lakes. To identify and discuss key uncertainties associated with such a program and develop a coordinated approach, the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (FWS), the principal Department of the Interior bureaus to address Great Lakes fishery issues, held the first of a series of workshops on coregonine science in Ann Arbor, Michigan, on October 11–13, 2016. Workshop objectives were to identify (1) perceived key uncertainties associated with coregonine restoration in the Great Lakes and (2) DOI capacities for addressing these key uncertainties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171081","usgsCitation":"Bronte, C.R., Bunnell, D.B., David, S.R., Gordon, Roger, Gorsky, Dimitry, Millard, M.J., Read, Jennifer, Stein, R.A., and Vaccaro, Lynn, 2017, Report from the Workshop on Coregonine Restoration Science: U.S. Geological Survey Open-File Report 2017–1081, 23 p., https://doi.org/10.3133/ofr20171081.","productDescription":"vi, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087856","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":344507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1081/ofr20171081.pdf","text":"Report","size":"902 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1081"},{"id":344506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1081/coverthb.jpg"}],"publicComments":"Convened by the Coregonid Steering Committee, with membership from U.S. Fish and Wildlife Service and U.S. Geological Survey, on October 11–13, 2016","contact":"Director, Great Lakes Science Center
U.S. Geological Survey
1451 Green Rd.
Ann Arbor, MI 48105
We report new whole rock U-Th and in-situ oxygen isotope compositions for partially melted (0–50 vol% melt), low-δ18O Pleistocene granitoid blocks ejected during the ∼7.7 ka caldera-forming eruption of Mt. Mazama (Crater Lake, Oregon). The blocks are interpreted to represent wall rocks of the climactic magma chamber that, prior to eruption, experienced variable amounts of exchange with meteoric hydrothermal fluids and subsequent partial melting. U-Th and oxygen isotope results allow us to examine the timescales of hydrothermal circulation and partial melting, and provide an “outside in” perspective on the buildup to the climactic eruption of Mt. Mazama. Oxygen isotope compositions measured in the cores and rims of individual quartz (n = 126) and plagioclase (n = 91) crystals, and for transects across ten quartz crystals, document zonation in quartz (Δ18OCore-Rim ≤ 0.1–5.5‰), but show homogeneity in plagioclase (Δ18OCore-Rim ≤ ±0.8‰). We propose that oxygen isotope zonation in quartz records hydrothermal exchange followed by high-temperature exchange in response to partial melting caused by injection of basaltic to andesitic recharge magma into the deeper portions of the chamber. Results of modeling of oxygen diffusion in quartz indicates that hydrothermal exchange in quartz occurred over a period of ∼1000–63,000 years. Models also suggest that the onset of melting of the granitoids occurred a minimum of ∼10–200 years prior to the Mazama climactic eruption, an inference which is broadly consistent with results for magnetite homogenization and for Zr diffusion in melt previously reported by others.
Uranium-thorium isotope compositions of most granitoid blocks are in 238U excess, and are in agreement with a 238U enriched array previously measured for volcanic rocks at Mt. Mazama. Uranium excess in the granitoids is likely due to enrichment via hydrothermal circulation, given their low δ18O values. The sample with the highest U excess (≥5.8%) also has the most 18O isotope depletion (average δ18Oplag = −4.0‰). The granitoids are a probable assimilant and source of U excess in volcanic rocks from Mt. Mazama. Two granitoids have Th excess and low δ18O values, interpreted to record leaching of U during hydrothermal alteration. A U-Th isochron based on the U excess array of the granitoids and volcanic rocks indicates that hydrothermal circulation initiated ∼40–75 kyrs before the climactic eruption, potentially marking the initiation of a persistent upper-crustal magma chamber. The U-Th ages are consistent with the maximum timescales inferred for hydrothermal alteration based on oxygen isotope zoning in quartz.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2017.04.043","usgsCitation":"Ankney, M.E., Bacon, C.R., Valley, J.W., Beard, B.L., and Johnson, C.M., 2017, Oxygen and U-Th isotopes and the timescales of hydrothermal exchange and melting in granitoid wall rocks at Mount Mazama, Crater Lake, Oregon: Geochimica et Cosmochimica Acta, v. 213, p. 137-154, https://doi.org/10.1016/j.gca.2017.04.043.","productDescription":"18 p.","startPage":"137","endPage":"154","ipdsId":"IP-076927","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2017.04.043","text":"Publisher Index Page"},{"id":344548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Mount Mazama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.18376159667969,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.8913095904188\n ],\n [\n -122.02651977539062,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.989329864840975\n ],\n [\n -122.18376159667969,\n 42.8913095904188\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"213","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59843645e4b0e2f5d4665385","contributors":{"authors":[{"text":"Ankney, Meagan E.","contributorId":195429,"corporation":false,"usgs":false,"family":"Ankney","given":"Meagan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":707069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":707068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valley, John W.","contributorId":52895,"corporation":false,"usgs":false,"family":"Valley","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":707070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beard, Brian L.","contributorId":195430,"corporation":false,"usgs":false,"family":"Beard","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":707071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Clark M.","contributorId":195431,"corporation":false,"usgs":false,"family":"Johnson","given":"Clark","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190017,"text":"70190017 - 2017 - Correlates of immune defenses in golden eagle nestlings","interactions":[],"lastModifiedDate":"2017-11-22T16:46:13","indexId":"70190017","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5473,"text":"JEZ-A: Ecological and Integrative Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Correlates of immune defenses in golden eagle nestlings","docAbstract":"An individual's investment in constitutive immune defenses depends on both intrinsic and extrinsic factors. We examined how Leucocytozoon parasite presence, body condition (scaled mass), heterophil-to-lymphocyte (H:L) ratio, sex, and age affected immune defenses in golden eagle (Aquila chrysaetos) nestlings from three regions: California, Oregon, and Idaho. We quantified hemolytic-complement activity and bacterial killing ability, two measures of constitutive immunity. Body condition and age did not affect immune defenses. However, eagles with lower H:L ratios had lower complement activity, corroborating other findings that animals in better condition sometimes invest less in constitutive immunity. In addition, eagles with Leucocytozoon infections had higher concentrations of circulating complement proteins but not elevated opsonizing proteins for all microbes, and eagles from Oregon had significantly higher constitutive immunity than those from California or Idaho. We posit that Oregon eagles might have elevated immune defenses because they are exposed to more endoparasites than eagles from California or Idaho, and our results confirmed that the OR region has the highest rate of Leucocytozoon infections. Our study examined immune function in a free-living, long-lived raptor species, whereas most avian ecoimmunological research focuses on passerines. Thus, our research informs a broad perspective regarding the evolutionary and environmental pressures on immune function in birds.
","language":"English","publisher":"Wiley","doi":"10.1002/jez.2081","usgsCitation":"MacColl, E., Vanesky, K., Buck, J.A., Dudek, B., Eagles-Smith, C.A., Heath, J.A., Herring, G., Vennum, C., and Downs, C.J., 2017, Correlates of immune defenses in golden eagle nestlings: JEZ-A: Ecological and Integrative Physiology, v. 327, no. 5, p. 243-253, https://doi.org/10.1002/jez.2081.","productDescription":"11 p.","startPage":"243","endPage":"253","ipdsId":"IP-085113","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":487909,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/bio_facpubs/518","text":"External Repository"},{"id":344558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon","volume":"327","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"59843645e4b0e2f5d466537f","contributors":{"authors":[{"text":"MacColl, Elisabeth","contributorId":195478,"corporation":false,"usgs":false,"family":"MacColl","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":707195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanesky, Kris","contributorId":195479,"corporation":false,"usgs":false,"family":"Vanesky","given":"Kris","email":"","affiliations":[],"preferred":false,"id":707196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buck, Jeremy A.","contributorId":195480,"corporation":false,"usgs":false,"family":"Buck","given":"Jeremy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudek, Benjamin","contributorId":195481,"corporation":false,"usgs":false,"family":"Dudek","given":"Benjamin","affiliations":[],"preferred":false,"id":707198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":707194,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":707200,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vennum, Chris","contributorId":195482,"corporation":false,"usgs":false,"family":"Vennum","given":"Chris","affiliations":[],"preferred":false,"id":707201,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Downs, Cynthia J.","contributorId":195483,"corporation":false,"usgs":false,"family":"Downs","given":"Cynthia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707202,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178702,"text":"sir20105090BB - 2017 - Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine","interactions":[{"subject":{"id":70178702,"text":"sir20105090BB - 2017 - Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine","indexId":"sir20105090BB","publicationYear":"2017","noYear":false,"chapter":"BB","title":"Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2018-11-05T10:31:17","indexId":"sir20105090BB","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"BB","title":"Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine","docAbstract":"Undiscovered potash resources in the Pripyat Basin, Belarus, and Dnieper-Donets Basin, Ukraine, were assessed as part of a global mineral resource assessment led by the U.S. Geological Survey (USGS). The Pripyat Basin (in Belarus) and the Dnieper-Donets Basin (in Ukraine and southern Belarus) host stratabound and halokinetic Upper Devonian (Frasnian and Famennian) and Permian (Cisuralian) potash-bearing salt. The evaporite basins formed in the Donbass-Pripyat Rift, a Neoproterozoic continental rift structure that was reactivated during the Late Devonian and was flooded by seawater. Though the rift was divided, in part by volcanic deposits, into the separate Pripyat and Dnieper-Donets Basins, both basins contain similar potash‑bearing evaporite sequences. An Early Permian (Cisuralian) sag basin formed over the rift structure and was also inundated by seawater resulting in another sequence of evaporite deposition. Halokinetic activity initiated by basement faulting during the Devonian continued at least into the Permian and influenced potash salt deposition and structural evolution of potash-bearing salt in both basins.
Within these basins, four areas (permissive tracts) that permit the presence of undiscovered potash deposits were defined by using geological criteria. Three tracts are permissive for stratabound potash-bearing deposits and include Famennian (Upper Devonian) salt in the Pripyat Basin, and Famennian and Cisuralian (lower Permian) salt in the Dnieper-Donets Basin. In addition, a tract was delineated for halokinetic potash-bearing Famennian salt in the Dnieper-Donets Basin.
The Pripyat Basin is the third largest source of potash in the world, producing 6.4 million metric tons of potassium chloride (KCl) (the equivalent of about 4.0 million metric tons of potassium oxide or K2O) in 2012. Potash production began in 1963 in the Starobin #1 mine, near the town of Starobin, Belarus, in the northwestern corner of the basin. Potash is currently produced from six potash mines in the Starobin area. Published reserves in the Pripyat Basin area are about 7.3 billion metric tons of potash ore (about 1.3 billion metric tons of K2O) mostly from potash-bearing salt horizons in the Starobin and Petrikov mine areas. The 15,160-square-kilometer area of the Pripyat Basin underlain by Famennian potash-bearing salt contains as many as 60 known potash-bearing salt horizons. Rough estimates of the total mineral endowment associated with stratabound Famennian salt horizons in the Pripyat Basin range from 80 to 200 billion metric tons of potash-bearing salt that could contain 15 to 30 billion metric tons of K2O.
Parameters (including the number of economic potash horizons, grades, and depths) for these estimates are not published so the estimates are not easily confirmed. Historically, reserves have been estimated above a depth of 1,200 meters (m) (approximately the depths of conventional underground mining). Additional undiscovered K2O resources could be significantly greater in the remainder of the Fammenian salt depending on the extents and grades of the 60 identified potash horizons above the USGS assessment depth of 3,000 m in the remainder of the tract. Increasing ambient temperatures with increasing depths in the eastern parts of the Pripyat Basin may require a solution mining process which is aided by higher temperatures.
No resource or reserve data have been published and little is known about stratabound Famennian and Frasnian salt in the Dnieper-Donets Basin. These Upper Devonian salt units dip to the southeast and extend to depths of 15–19 kilometers (km) or greater. The tract of stratabound Famennian salt that lies above a depth of 3 km, the depth above which potash is technically recoverable by solution mining, underlies an area of about 15,600 square kilometers (km2). If Upper Devonian salt units in the Dnieper-Donets Basin contain potash-bearing strata similar to salt of the same age in the Pripyat Basin, then the stratabound Famennian tract in the Dnieper-Donets Basin could contain significant undiscovered potash resources.
The Cisuralian evaporite sequence in the Dnieper-Donets Basin consists of 10 evaporite cycles with the upper 3 cycles containing potash-bearing salt (mainly as sylvite and carnallite) in several subbasins and polyhalite in the sulfate bearing parts of the identified tract. The area of the Cisuralian tract is 62,700 km2. Potash-bearing cycles are as much as 40 m thick. One subbasin is reported to contain 794 million metric tons of “raw or crude” potash-bearing salt which could contain 50 to 150 million metric tons of K2O, depending on the grade. Undiscovered potash resources in the remainder of this permissive tract may be significantly greater. Depths to the Permian salt range from less than 100 to about 1,500 m.
Undiscovered resources of halokinetic potash-bearing salt in the Dnieper-Donets Basin were assessed quantitatively for this study by using the standard USGS three-part form of mineral resource assessment (Singer, 2007a; Singer and Menzie, 2010). Delineation of the permissive tract was based on distributions of mapped halokinetic salt structures. This tract contains at least 248 diapiric salt structures with a total area of 7,840 km2 that occupies approximately 8 percent of the basin area. The vertical extent of these salt structures is hundreds of meters to several kilometers. This assessment estimated that a total mean of 11 undiscovered deposits contain an arithmetic mean estimate of about 840 million metric tons of K2O in the halokinetic salt structures of the Dnieper-Donets Basin for which the probabilistic estimate was made.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090BB","usgsCitation":"Cocker, M.D., Orris, G.J., and Dunlap, Pamela, with contributions from Lipin, B.R., Ludington, Steve, Ryan, R.J., Słowakiewicz, Mirosław, Spanski, G.T., Wynn, Jeff, and Yang, Chao, 2017, Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine: U.S. Geological Survey Scientific Investigations Report 2010–5090–BB, 116 p., and spatial data, https://doi.org/10.3133/sir20105090BB.","productDescription":"Report: x, 116 p.; GIS Data","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053911","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":344467,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/bb/sir20105090bb_gis.zip","text":"GIS Data","size":"2.75 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2010-5090-BB"},{"id":344465,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5090/bb/coverthb.jpg"},{"id":344466,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/bb/sir20105090bb.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2010-5090-BB"}],"country":"Belarus, Ukraine","otherGeospatial":"Dnieper-Donets Basin, Pripyat Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 25.9716796875,\n 44.74673324024678\n ],\n [\n 46.8896484375,\n 44.74673324024678\n ],\n [\n 46.8896484375,\n 54.23955053156177\n ],\n [\n 25.9716796875,\n 54.23955053156177\n ],\n [\n 25.9716796875,\n 44.74673324024678\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Mineral Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
913 National Center
Reston, VA 20192
Continuous records of discharge and turbidity at a U.S. Geological Survey (USGS) streamgage in the lower Stillaguamish River were paired with discrete measurements of suspended-sediment concentration (SSC) in order to estimate suspended-sediment loads over the water years 2014 and 2015. First, relations between turbidity and SSC were developed and used to translate the continuous turbidity record into a continuous estimate of SSC. Those concentrations were then used to predict suspended-sediment loads based on the current discharge record, reported at daily intervals. Alternative methods were used to in-fill a small number of days with either missing periods of turbidity or discharge records. Uncertainties in our predictions at daily and annual time scales were estimated based on the parameter uncertainties in our turbidity-SSC regressions. Daily loads ranged from as high as 121,000 tons during a large autumn storm to as low as –56 tons, when tidal return flow moved more sediment upstream than river discharge did downstream. Annual suspended-sediment loads for both water years were close to 1.4 ± 0.2 million tons.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171066","usgsCitation":"Anderson, S.W., Curran, C.A., and Grossman, E.E., 2017, Suspended-sediment loads in the lower Stillaguamish River, Snohomish County, Washington, 2014–15: U.S. Geological Survey Open-File Report 2017–1066, 10 p., https://doi.org/10.3133/ofr20171066.","productDescription":"Report: iv, 10 p.; Table","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085882","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":344567,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1066/coverthb.jpg"},{"id":344568,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1066/ofr2017.1066.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1066"},{"id":344569,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2017/1066/ofr20171066_table03.xlsx","text":"Table 3","size":"46 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1066"}],"country":"United States","state":"Washington","county":"Snohomish County","otherGeospatial":"Lower Stillaguamish River","contact":"Director,
Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Wildfire and the threat it poses to society represents an example of the complex, dynamic relationship between social and ecological systems. Increasingly, wildfire adaptation is posited as a pathway to shift the approach to fire from a suppression paradigm that seeks to control fire to a paradigm that focuses on “living with” and “adapting to” wildfire. In this study, we seek insights into what it means to adapt to wildfire from a range of stakeholders whose efforts contribute to the management of wildfire. Study participants provided insights into the meaning, relevance, and use of the concept of fire adaptation as it relates to their wildfire-related activities. A key finding of this investigation suggests that social scale is of key importance in the conceptualization and understanding of adaptation for participating stakeholders. Indeed, where you stand in terms of understandings of fire adaptation depends in large part on where you sit.
","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-09471-220307","usgsCitation":"Brenkert-Smith, H., Meldrum, J., Champ, P.A., and Barth, C.M., 2017, Where you stand depends on where you sit: Qualitative inquiry into notions of fire adaptation: Ecology and Society, v. 22, no. 3, Article 7: 15 p., https://doi.org/10.5751/ES-09471-220307.","productDescription":"Article 7: 15 p.","ipdsId":"IP-083268","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09471-220307","text":"Publisher Index Page"},{"id":344557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59843644e4b0e2f5d466537a","contributors":{"authors":[{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":707204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707206,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189996,"text":"70189996 - 2017 - Stable C, O and clumped isotope systematics and 14C geochronology of carbonates from the Quaternary Chewaucan closed-basin lake system, Great Basin, USA: Implications for paleoenvironmental reconstructions using carbonates","interactions":[],"lastModifiedDate":"2017-08-03T07:34:40","indexId":"70189996","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stable C, O and clumped isotope systematics and 14C geochronology of carbonates from the Quaternary Chewaucan closed-basin lake system, Great Basin, USA: Implications for paleoenvironmental reconstructions using carbonates","title":"Stable C, O and clumped isotope systematics and 14C geochronology of carbonates from the Quaternary Chewaucan closed-basin lake system, Great Basin, USA: Implications for paleoenvironmental reconstructions using carbonates","docAbstract":"Isotopic compositions of lacustrine carbonates are commonly used for dating and paleoenvironmental reconstructions. Here we use carbonate δ13C and δ18O, clumped (Δ47), and 14C compositions to better understand the carbonate isotope system in closed-basin lakes and trace the paleohydrologic and temperature evolution in the Chewaucan closed-basin lake system, northern Great Basin, USA, over the Last Glacial/Holocene transition. We focus on shorezone tufas to establish that they form in isotopic equilibrium with lake water and DIC, they can be dated reliably using 14C, and their clumped isotope composition can be used to reconstruct past lake temperature. Calculations of the DIC budget and reservoir age for the lake indicate residence time is short, and dominated by exchange with atmospheric CO2 at all past lake levels. Modern lake DIC and shorezone tufas yield δ13C and 14C values consistent with isotopic equilibrium with recent fossil fuel and bomb-influenced atmospheric CO2, supporting these calculations. δ13C values of fossil tufas are also consistent with isotopic equilibrium with pre-industrial atmospheric CO2 at all shoreline elevations. This indicates that the 14C reservoir effect for this material is negligible. Clumped isotope (Δ47) results indicate shorezone tufas record mean annual lake temperature. Modern (average 13 ± 2 °C) and 18 ka BP-age tufas (average 6 ± 2 °C) have significantly different temperatures consistent with mean annual temperature lowering of 7 ± 3 °C (1 SE) under full glacial conditions. For shorezone tufas and other lake carbonates, including spring mounds, mollusk shells, and ostracod tests, overall δ13C and δ18O values co-vary according to the relative contribution of spring and lacustrine end member DIC and water compositions in the drainage system, but specific isotope values depend strongly upon sample context and are not well correlated with past lake depth. This contrasts with the interpretation that carbonate isotopes in closed-basin lake systems reflect changes in DIC and water budgets connected to higher or lower lake volumes. Instead, a small overlapping range of isotope compositions characterize multiple lake levels, so that none can be identified uniquely by isotope composition alone. Relative to other lake carbonates, δ13C and δ18O values for ostracods in Ana River Canyon deposits are very strongly influenced by Ana River water, suggesting low lake level and volume characterized Summer Lake for most of the past 100,000 years. Coupled with sedimentologic observations, the Ana River deposits thus suggest dry conditions like today are close to the mean climate state in the northern Great Basin. By contrast, basin-integrating highstands such as that dating to ∼14 ka BP, during the last glacial termination, are hydrologically unique and short-lived. Overall, our results indicate carbonate isotope records must account for the specific geochemical and hydrologic characteristics of lake system in order to provide robust paleoenvironmental reconstructions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2017.06.024","usgsCitation":"Hudson, A.M., Quade, J., Ali, G., Boyle, D.P., Bassett, S., Huntington, K.W., De los Santos, M.G., Cohen, A.S., Lin, K., and Wang, X., 2017, Stable C, O and clumped isotope systematics and 14C geochronology of carbonates from the Quaternary Chewaucan closed-basin lake system, Great Basin, USA: Implications for paleoenvironmental reconstructions using carbonates: Geochimica et Cosmochimica Acta, v. 212, p. 274-302, https://doi.org/10.1016/j.gca.2017.06.024.","productDescription":"29 p.","startPage":"274","endPage":"302","ipdsId":"IP-081594","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2017.06.024","text":"Publisher Index Page"},{"id":344550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","volume":"212","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59843647e4b0e2f5d4665391","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":707050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":707051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Guleed","contributorId":195420,"corporation":false,"usgs":false,"family":"Ali","given":"Guleed","email":"","affiliations":[],"preferred":false,"id":707052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyle, Douglas P.","contributorId":195421,"corporation":false,"usgs":false,"family":"Boyle","given":"Douglas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":707053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bassett, Scott","contributorId":195422,"corporation":false,"usgs":false,"family":"Bassett","given":"Scott","affiliations":[],"preferred":false,"id":707054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":707055,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De los Santos, Marie G.","contributorId":195424,"corporation":false,"usgs":false,"family":"De los Santos","given":"Marie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":707056,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":707057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lin, Ke","contributorId":195475,"corporation":false,"usgs":false,"family":"Lin","given":"Ke","email":"","affiliations":[],"preferred":false,"id":707058,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wang, Xiangfeng","contributorId":195425,"corporation":false,"usgs":false,"family":"Wang","given":"Xiangfeng","email":"","affiliations":[],"preferred":false,"id":707059,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189994,"text":"70189994 - 2017 - Recent stability of resident and migratory landbird populations in National Parks of the Pacific Northwest","interactions":[],"lastModifiedDate":"2017-11-22T16:46:34","indexId":"70189994","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Recent stability of resident and migratory landbird populations in National Parks of the Pacific Northwest","docAbstract":"Monitoring species in National Parks facilitates inference regarding effects of climate change on population dynamics because parks are relatively unaffected by other forms of anthropogenic disturbance. Even at early points in a monitoring program, identifying climate covariates of population density can suggest vulnerabilities to future change. Monitoring landbird populations in parks during the breeding season brings the added benefit of allowing a comparative approach to inference across a large suite of species with diverse requirements. For example, comparing resident and migratory species that vary in exposure to non-park habitats can reveal the relative importance of park effects, such as those related to local climate. We monitored landbirds using breeding-season point-count data collected during 2005–2014 in three wilderness areas of the Pacific Northwest (Mount Rainier, North Cascades, and Olympic National Parks). For 39 species, we estimated recent trends in population density while accounting for individual detection probability using Bayesian hierarchical N-mixture models. Our analyses integrated several recent developments in N-mixture modeling, incorporating interval and distance sampling to estimate distinct components of detection probability while also accommodating count intervals of varying duration, annual variation in the length and number of point-count transects, spatial autocorrelation, random effects, and covariates of detection and density. As covariates of density, we considered metrics of precipitation and temperature hypothesized to affect breeding success. We also considered effects of park and elevational stratum on trend. Regardless of model structure, we estimated stable or increasing densities during 2005–2014 for most populations. Mean trends across species were positive for migrants in every park and for residents in one park. A recent snowfall deficit in this region might have contributed to the positive trend, because population density varied inversely with precipitation-as-snow for both migrants and residents. Densities varied directly but much more weakly with mean spring temperature. Our approach exemplifies an analytical framework for estimating trends from point-count data, and for assessing the role of climatic and other spatiotemporal variables in driving those trends. Understanding population trends and the factors that drive them is critical for adaptive management and resource stewardship in the context of climate change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1902","usgsCitation":"Ray, C., Saracco, J., Holmgren, M., Wilkerson, R., Siegel, R., Jenkins, K.J., Ransom, J.I., Happe, P.J., Boetsch, J., and Huff, M., 2017, Recent stability of resident and migratory landbird populations in National Parks of the Pacific Northwest: Ecosphere, v. 8, no. 7, e01902: 24 p., https://doi.org/10.1002/ecs2.1902.","productDescription":"e01902: 24 p.","ipdsId":"IP-081909","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1902","text":"Publisher Index Page"},{"id":344551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"59843648e4b0e2f5d466539d","contributors":{"authors":[{"text":"Ray, Chris","contributorId":150148,"corporation":false,"usgs":false,"family":"Ray","given":"Chris","email":"","affiliations":[{"id":17921,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":707036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saracco, James","contributorId":195412,"corporation":false,"usgs":false,"family":"Saracco","given":"James","affiliations":[],"preferred":false,"id":707037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmgren, Mandy","contributorId":195413,"corporation":false,"usgs":false,"family":"Holmgren","given":"Mandy","email":"","affiliations":[],"preferred":false,"id":707038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilkerson, Robert","contributorId":195414,"corporation":false,"usgs":false,"family":"Wilkerson","given":"Robert","affiliations":[],"preferred":false,"id":707039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siegel, Rodney","contributorId":195415,"corporation":false,"usgs":false,"family":"Siegel","given":"Rodney","affiliations":[],"preferred":false,"id":707040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":707035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ransom, Jason I.","contributorId":139841,"corporation":false,"usgs":false,"family":"Ransom","given":"Jason","email":"","middleInitial":"I.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":707041,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Happe, Patricia J.","contributorId":177053,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":707042,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boetsch, John","contributorId":195416,"corporation":false,"usgs":false,"family":"Boetsch","given":"John","affiliations":[],"preferred":false,"id":707043,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huff, Mark","contributorId":195417,"corporation":false,"usgs":false,"family":"Huff","given":"Mark","affiliations":[],"preferred":false,"id":707044,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189997,"text":"70189997 - 2017 - Altitudinal migration and the future of an iconic Hawaiian honeycreeper in response to climate change and management","interactions":[],"lastModifiedDate":"2018-01-04T08:25:54","indexId":"70189997","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Altitudinal migration and the future of an iconic Hawaiian honeycreeper in response to climate change and management","docAbstract":"Altitudinal movement by tropical birds to track seasonally variable resources can move them from protected areas to areas of increased vulnerability. In Hawaiʻi, historical reports suggest that many Hawaiian honeycreepers such as the ‘I‘iwi (Drepanis coccinea) once undertook seasonal migrations, but the existence of such movements today is unclear. Because Hawaiian honeycreepers are highly susceptible to avian malaria, currently minimal in high-elevation forests, understanding the degree to which honeycreepers visit lower elevation forests may be critical to predict the current impact of malaria on population dynamics and how susceptible bird populations may respond to climate change and mitigation scenarios. Using radio telemetry data, we demonstrate for the first time that a large fraction of breeding adult and juvenile ‘I‘iwi originating from an upper-elevation (1,920 m) population at Hakalau Forest National Wildlife Refuge exhibit post-breeding movements well below the upper elevational limit for mosquitoes. Bloom data suggest seasonal variation in floral resources is the primary driver of seasonal movement for ‘I‘iwi. To understand the demographic implications of such movement, we developed a spatial individual-based model calibrated using previously published and original data. ʻI‘iwi dynamics were simulated backward in time, to estimate population levels in the absence of avian malaria, and forward in time, to assess the impact of climate warming as well as two potential mitigation actions. Even in disease-free ‘refuge’ populations, we found that breeding densities failed to reach the estimated carrying capacity, suggesting the existence of a seasonal “migration load” as a result of travel to disease-prevalent areas. We predict that ‘I‘iwi may be on the verge of extinction in 2100, with the total number of pairs reaching only ~ 0.2–12.3% of the estimated pre-malaria density, based on an optimistic climate change scenario. The probability of extinction of ‘I‘iwi populations, as measured by population estimates for 2100, is strongly related to their estimated migration propensity. Long-term conservation strategies likely will require a multi-pronged response including a reduction of malaria threats, habitat restoration and continued landscape-level access to seasonally variable nectar resources.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1253","usgsCitation":"Guillaumet, A., Kuntz, W.A., Samuel, M.D., and Paxton, E., 2017, Altitudinal migration and the future of an iconic Hawaiian honeycreeper in response to climate change and management: Ecological Monographs, v. 87, no. 3, p. 410-428, https://doi.org/10.1002/ecm.1253.","productDescription":"19 p.","startPage":"410","endPage":"428","ipdsId":"IP-071642","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":344549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"59843646e4b0e2f5d466538b","contributors":{"authors":[{"text":"Guillaumet, Alban","contributorId":150397,"corporation":false,"usgs":false,"family":"Guillaumet","given":"Alban","email":"","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":707061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuntz, Wendy A.","contributorId":195426,"corporation":false,"usgs":false,"family":"Kuntz","given":"Wendy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":707063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":707060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189995,"text":"70189995 - 2017 - Multiple methods for multiple futures: Integrating qualitative scenario planning and quantitative simulation modeling for natural resource decision making","interactions":[],"lastModifiedDate":"2017-09-18T15:31:48","indexId":"70189995","displayToPublicDate":"2017-08-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5474,"text":"Climate Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Multiple methods for multiple futures: Integrating qualitative scenario planning and quantitative simulation modeling for natural resource decision making","docAbstract":"Scenario planning helps managers incorporate climate change into their natural resource decision making through a structured “what-if” process of identifying key uncertainties and potential impacts and responses. Although qualitative scenarios, in which ecosystem responses to climate change are derived via expert opinion, often suffice for managers to begin addressing climate change in their planning, this approach may face limits in resolving the responses of complex systems to altered climate conditions. In addition, this approach may fall short of the scientific credibility managers often require to take actions that differ from current practice. Quantitative simulation modeling of ecosystem response to climate conditions and management actions can provide this credibility, but its utility is limited unless the modeling addresses the most impactful and management-relevant uncertainties and incorporates realistic management actions. We use a case study to compare and contrast management implications derived from qualitative scenario narratives and from scenarios supported by quantitative simulations. We then describe an analytical framework that refines the case study’s integrated approach in order to improve applicability of results to management decisions. The case study illustrates the value of an integrated approach for identifying counterintuitive system dynamics, refining understanding of complex relationships, clarifying the magnitude and timing of changes, identifying and checking the validity of assumptions about resource responses to climate, and refining management directions. Our proposed analytical framework retains qualitative scenario planning as a core element because its participatory approach builds understanding for both managers and scientists, lays the groundwork to focus quantitative simulations on key system dynamics, and clarifies the challenges that subsequent decision making must address.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.crm.2017.07.002","usgsCitation":"Symstad, A.J., Fisichelli, N.A., Miller, B., Rowland, E., and Schuurman, G.W., 2017, Multiple methods for multiple futures: Integrating qualitative scenario planning and quantitative simulation modeling for natural resource decision making: Climate Risk Management, v. 17, p. 78-91, https://doi.org/10.1016/j.crm.2017.07.002.","productDescription":"14 p.","startPage":"78","endPage":"91","ipdsId":"IP-076063","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469624,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crm.2017.07.002","text":"Publisher Index Page"},{"id":438250,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79K48RZ","text":"USGS data release","linkHelpText":"Data from simulations of ecological and hydrologic response to climate change scenarios at Wind Cave National Park, South Dakota, 1901-2050"},{"id":344561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59843647e4b0e2f5d4665397","contributors":{"authors":[{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":707045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":707046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":707047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, Erika","contributorId":146177,"corporation":false,"usgs":false,"family":"Rowland","given":"Erika","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":707048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuurman, Gregor W.","contributorId":173975,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":707049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189223,"text":"fs20173057 - 2017 - New Jersey StreamStats: A web application for streamflow statistics and basin characteristics","interactions":[],"lastModifiedDate":"2017-08-02T16:51:40","indexId":"fs20173057","displayToPublicDate":"2017-08-02T15:45:00","publicationYear":"2017","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":"2017-3057","title":"New Jersey StreamStats: A web application for streamflow statistics and basin characteristics","docAbstract":"StreamStats is an interactive, map-based web application from the U.S. Geological Survey (USGS) that allows users to easily obtain streamflow statistics and watershed characteristics for both gaged and ungaged sites on streams throughout New Jersey. Users can determine flood magnitude and frequency, monthly flow-duration, monthly low-flow frequency statistics, and watershed characteristics for ungaged sites by selecting a point along a stream, or they can obtain this information for streamgages by selecting a streamgage location on the map. StreamStats provides several additional tools useful for water-resources planning and management, as well as for engineering purposes. StreamStats is available for most states and some river basins through a single web portal.
Streamflow statistics for water resources professionals include the 1-percent annual chance flood flow (100-year peak flow) used to define flood plain areas and the monthly 7-day, 10-year low flow (M7D10Y) used in water supply management and studies of recreation, wildlife conservation, and wastewater dilution. Additionally, watershed or basin characteristics, including drainage area, percent area forested, and average percent of impervious areas, are commonly used in land-use planning and environmental assessments. These characteristics are easily derived through StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173057","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Janowicz, J.A., 2017, New Jersey StreamStats: A web application for streamflow statistics and basin characteristics: U.S. Geological Survey Fact Sheet 2017–3057, 4 p., https://doi.org/10.3133/fs20173057.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081939","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":344537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3057/coverthb.jpg"},{"id":344538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3057/fs20173057.pdf","text":"Report","size":"479 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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Jersey\",\"nation\":\"USA \"}}]}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
A variety of watershed properties available in 2015 from geographic information systems were tested in regression equations to estimate two commonly used statistical indices of the low flow of streams, namely the lowest flows averaged over 7 consecutive days that have a 1 in 10 and a 1 in 2 chance of not being exceeded in any given year (7-day, 10-year and 7-day, 2-year low flows). The equations were based on streamflow measurements in 51 watersheds in the Lower Hudson River Basin of New York during the years 1958–1978, when the number of streamflow measurement sites on unregulated streams was substantially greater than in subsequent years. These low-flow indices are chiefly a function of the area of surficial sand and gravel in the watershed; more precisely, 7-day, 10-year and 7-day, 2-year low flows both increase in proportion to the area of sand and gravel deposited by glacial meltwater, whereas 7-day, 2-year low flows also increase in proportion to the area of postglacial alluvium. Both low-flow statistics are also functions of mean annual runoff (a measure of net water input to the watershed from precipitation) and area of swamps and poorly drained soils in or adjacent to surficial sand and gravel (where groundwater recharge is unlikely and riparian water loss to evapotranspiration is substantial). Small but significant refinements in estimation accuracy resulted from the inclusion of two indices of stream geometry, channel slope and length, in the regression equations. Most of the regression analysis was undertaken with the ordinary least squares method, but four equations were replicated by using weighted least squares to provide a more realistic appraisal of the precision of low-flow estimates. The most accurate estimation equations tested in this study explain nearly 84 and 87 percent of the variation in 7-day, 10-year and 7-day, 2-year low flows, respectively, with standard errors of 0.032 and 0.050 cubic feet per second per square mile. The equations use natural values of streamflow and watershed properties; logarithmic transformations yielded less accurate equations inconsistent with some conceptualized relationships.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175019","usgsCitation":"Randall, A.D., and Freehafer, D.A., 2017, Estimation of low-flow statistics at ungaged sites on streams in the Lower Hudson River Basin, New York, from data in geographic information systems: U.S. Geological Survey Scientific Investigations Report 2017–5019, 42 p., https://doi.org/10.3133/sir20175019.","productDescription":"v, 42 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073104","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":344430,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5019/sir20175019.pdf","text":"Report","size":"3.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5019"},{"id":344429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5019/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Lower Hudson River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.6,\n 41\n ],\n [\n -73.2,\n 41\n ],\n [\n -73.2,\n 42.9\n ],\n [\n -74.6,\n 42.9\n ],\n [\n -74.6,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
On March 22, 2014, the State Route 530 Landslide near Oso, Washington mobilized 8 million cubic meters of unconsolidated Pleistocene material, creating a valley‑spanning deposit that fully impounded the North Fork Stillaguamish River. The river overtopped the 8-meter high debris impoundment within 25 hours and began steadily incising a new channel through the center of the deposit. Repeat topographic surveys, sediment transport measurements, bedload transport models, and observations of downstream channel change were used to document the establishment of that new channel through the landslide and assess the potential for downstream aggradation or channel change that might increase downstream flood hazards.
Efficient erosion of the landslide deposit, associated with the steep knickzone formed by the downstream edge of the deposit, resulted in the re-establishment of a 20–40 meters wide, deeply inset channel through the entire deposit by May 2014, 2 months after the landslide. The mean water-surface elevation of the channel through the landslide decreased 7 meters during that 2-month period, and was about 1 meter above the pre-landslide profile in July 2014. The 2014–15 flood season, which included flows near the 0.5 annual exceedance probability discharge (2-year flood), widened the channel tens of meters, and further lowered the water-surface profile 0.5 meter. The planform position evolved slowly as a result of 5–20-meter high banks predominantly composed of clay-rich, cohesive lacustrine material. Erosion of the landslide deposit delivered a total of 820 thousand metric tons of sediment to the North Fork Stillaguamish River over the 18 months following the landslide. The sediment delivery from the deposit was predominantly fine grained: 77 percent (by mass) of the eroded material was silt or clay (less than 0.063 millimeter [mm]), 19 percent sand (0.063–2 mm), and 4 percent pebbles and cobbles (greater than 2 mm).
Over the 18 months following the landslide, the bedload at a site 5 kilometers downstream of the landslide was estimated to be 310±65 thousand metric tons, and the suspended load at that same site was estimated to be 990±110 thousand metric tons. These loads represent the combined input from the landslide and ambient upstream sources; over the study interval, landslide sediment made up about 20–40 percent of the bedload, and 65–85 percent of the suspended-sediment load at this site. At a site 70 kilometers downstream of the landslide, near the mouth of the main‑stem Stillaguamish River, suspended sediment loads were estimated to be about 1,440 thousand metric tons, of which about 600 thousand metric tons, or 30 percent, likely was derived from the landslide. The mass of landslide sediment in suspension at the mouth of the river, and the timing of arrival of that sediment, indicates that about 70 percent of the landslide sediment eroded during the study period was quickly transported through the entire basin, exiting into Puget Sound within weeks of initial entrainment.
Empirical bedload transport equations, in conjunction with surficial grain-size data and output from a one‑dimensional hydraulic model, were used to estimate spatial trends in bedload transport capacity, highlighting areas where reach-scale conditions would be most likely to promote deposition of coarse landslide sediment. Transport capacities decreased sharply over a reach about 5 kilometers downstream of the landslide and remained relatively low over the next 10 kilometers downstream. However, the magnitude of calculated transport capacities are large relative to the coarse sediment input from the landslide, suggesting that substantial deposition of landslide sediment was not likely to occur. These assessments were corroborated by observations of channel change, which indicated that the downstream channel response to the landslide was modest and short-lived. The most pronounced downstream effects included a wedge of aggradation just downstream of the landslide, about 1 meter high and extending a kilometer downstream, and a 0.3-meter pulse of aggradation observed 5 kilometers downstream of the landslide. In both locations, peak aggradation and channel response occurred within about a month of the landslide, and both sites had largely recovered to pre-landslide conditions by July 2014. No substantial channel change clearly linked to the landslide was observed after July 2014 except for a modest fining of surficial gravel size distributions and continued recovery and incision of the reach just downstream of the landslide.
The muted downstream response of the North Fork Stillaguamish River to the State Route 530 Landslide primarily can be attributed to the cohesive, silt- and clay-rich material that bounded most of the new channel. Although the river efficiently incised a new channel through the deposit, subsequent rates of lateral erosion were slowed by the tall, cohesive banks, limiting the total volume of sediment delivery. Once entrained, however, most landslide material was rapidly transported downstream in suspension with little geomorphic effect. Landslide material coarse enough to travel as bedload was predominantly sand and fine gravel, and sediment transport models and observations of downstream change indicated that the rate of coarse sediment delivery from the landslide did not exceed the rivers ability to transport that material. The generally muted downstream response to sediment delivery from the State Route 530 Landslide, as well as the mechanics of that delivery and response, were generally consistent with observations made following the intentional removal of constructed dams.
The rate and efficiency of erosion from the landslide decreased over the period of analysis, as the new channel approached a quasi-equilibrium form. In the absence of additional hillslope activity, rates of erosion from the landslide are likely to be small compared to those over the first 18 months after the landslide. The modest channel response to the highest rates of sediment delivery, and rapid recovery thereafter, indicate that the river should be able to convey the continued supply of landslide-derived sediment effectively with little effect on the downstream morphology and flood risks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175055","collaboration":"Prepared in cooperation with the Federal Emergency Management Administration and Snohomish County, Washington","usgsCitation":"Anderson, S.W., Keith, M.K., Magirl, C.S., Wallick, J.R., Mastin, M.C., and Foreman, J.R., 2017, Geomorphic response of the North Fork Stillaguamish River to the State Route 530 landslide near Oso, Washington: U.S. Geological Survey Scientific Investigations Report 2017–5055, 85 p., https://doi.org/10.3133/sir20175055.","productDescription":"Report: ix, 85 p.; 2 Data Releases","numberOfPages":"85","onlineOnly":"Y","ipdsId":"IP-070334","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":344575,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VH5M2S","text":"USGS Data Release","linkHelpText":"Surficial sediment data on the North Fork Stillaguamish River and State Route 530 Landslide near Oso, Washington"},{"id":344574,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T72FPK","text":"USGS Data Release","linkHelpText":"Digital elevation models of the State Route 530 Landslide near Oso, Washington, July 2014 to July 2015"},{"id":344572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5055/coverthb.jpg"},{"id":344573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5055/sir20175055.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5055"}],"country":"United States","state":"Washington","city":"Oso","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4,\n 47.95\n ],\n [\n -121.35,\n 47.95\n ],\n [\n -121.35,\n 48.5\n ],\n [\n -122.4,\n 48.5\n ],\n [\n -122.4,\n 47.95\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
This field trip will provide an introduction to several fascinating features of Mount St. Helens. The trip begins with a rigorous hike of about 15 km from the Johnston Ridge Observatory (9 km north-northeast of the crater vent), across the 1980 Pumice Plain, to Windy Ridge (3.6 km northeast of the crater vent) to examine features that document the dynamics and progressive emplacement of pyroclastic flows. The next day, we examine classic tephra outcrops of the past 3,900 years and observe changes in thickness and character of these deposits as we traverse their respective lobes. We examine clasts in the deposits and discuss how the petrology and geochemistry of Mount St. Helens deposits reveal the evolution of the magmatic system through time. We also investigate the stratigraphy of the 1980 blast deposit and review the chronology of this iconic eruption as we travel through the remains of the blown-down forest. The third day is another rigorous hike, about 13 km round trip, climbing from the base of Windy Ridge (elevation 1,240 m) to the front of the Crater Glacier (elevation 1,700 m). En route we examine basaltic andesite and basalt lava flows emplaced between 1,800 and 1,700 years before present, a heterolithologic flow deposit produced as the 1980 blast and debris avalanche interacted, debris-avalanche hummocks that are stranded on the north flank and in the crater mouth, and shattered dacite lava domes that were emplaced between 3,900 and 2,600 years before present. These domes underlie the northern part of the volcano. In addition, within the crater we traverse well-preserved pyroclastic-flow deposits that were emplaced on the crater floor during the summer of 1980, and a beautiful natural section through the 1980 deposits in the upper canyon of the Loowit River.
Before plunging into the field-trip log, we provide an overview of Mount St. Helens geology, geochemistry, petrology, and volcanology as background. The volcano has been referred to as a “master teacher.” The 1980 eruption and studies both before and after 1980 played a major role in the establishment of the modern U.S. Geological Survey Volcano Hazards Program and our understanding of flank collapses, debris avalanches, cryptodomes, blasts, pyroclastic density currents, and lahars, as well as the dynamics of magma ascent and eruption.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022D","usgsCitation":"Pallister, J.S., Clynne, M.A., Wright, H.M., Van Eaton, A.R., Vallance, J.W., Sherrod, D.R., and Kokelaar, B.P., 2017, Field-trip guide to Mount St. Helens, Washington—An overview of the eruptive history and petrology, tephra deposits, 1980 pyroclastic density current deposits, and the crater: U.S. Geological Survey Scientific Investigations Report 2017–5022–D, 65 p., https://doi.org/10.3133/sir20175022D.","productDescription":"x, 65 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-083888","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344539,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/d/coverthb.jpg"},{"id":344540,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/d/sir20175022d.pdf","text":"Report","size":"38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-D"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Saint Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4,\n 46\n ],\n [\n -122,\n 46\n ],\n [\n -122,\n 46.4\n ],\n [\n -122.4,\n 46.4\n ],\n [\n -122.4,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
The colonization of urban environments by animals is often accompanied by earlier breeding and associated changes in seasonal schedules. Accelerated timing of seasonal reproduction in derived urban populations is a potential cause of evolutionary divergence from ancestral populations if differences in physiological processes that regulate reproductive timing become fixed over time. We compared reproductive development in free-living and captive male dark-eyed juncos deriving from a population that recently colonized a city (~35 years) and ceased migrating to that of conspecifics that live in sympatry with the urban population during winter and spring but migrate elsewhere to breed. We predicted that the earlier breeding sedentary urban birds would exhibit accelerated reproductive development in the spring along the hypothalamic-pituitary-gonadal (HPG) axis as compared to migrants. We found that free-living sedentary urban and migrant juncos differed at the level of the pituitary when measured as baseline luteinizing hormone (LH) levels, but not in increased LH when challenged with Gonadotropin-Releasing Hormone (GnRH). Among captives held in a common garden, and at the level of the gonad, we found that sedentary urban birds produced more testosterone in response to GnRH than migrants living in the same common environment, suggesting greater gonadal sensitivity in the derived urban population. Greater gonadal sensitivity could arise from greater upstream activation by LH or FSH or from reduced suppression of gonadal development by the adrenal axis. We compared abundance of gonadal transcripts for LH receptor (LHR), follicle stimulating hormone receptor (FSHR), glucocorticoid receptor (GR), and mineralocorticoid receptor (MR) in the common-garden, predicting either more abundant transcripts for LHR and FSHR or fewer transcripts for GR and MR in the earlier breeding sedentary urban breeders, as compared to the migrants. We found no difference in the expression of these genes. Together these data suggest that advanced timing of reproduction in a recently derived urban population is facilitated by earlier increase in upstream baseline activity of the HPG and earlier release from gonadal suppression by yet-to-be-discovered mechanisms. Evolutionarily, our results suggest that potential for gene flow between seasonally sympatric populations may be limited due to urban-induced advances in the timing of reproduction and resulting allochrony with ancestral forms.
","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2017.00085","usgsCitation":"Fudickar, A.M., Greives, T.J., Abolins-Abols, M., Atwell, J.W., Meddle, S.L., Friis, G., Stricker, C.A., and Ketterson, E.D., 2017, Mechanisms associated with an advance in the timing of seasonal reproduction in an urban songbird: Frontiers in Ecology and Evolution, v. 5, Article 85; 13 p., https://doi.org/10.3389/fevo.2017.00085.","productDescription":"Article 85; 13 p.","ipdsId":"IP-087350","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469628,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2017.00085","text":"Publisher Index Page"},{"id":438251,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5Z1X","text":"USGS data release","linkHelpText":"Hydrogen stable isotope data for: 'Mechanisms associated with an advance in the timing of seasonal reproduction in an urban songbird'."},{"id":344541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"La Jolla","otherGeospatial":"University of California-San Diego","volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"5982e4a9e4b0e2f5d464b709","contributors":{"authors":[{"text":"Fudickar, Adam M.","contributorId":195454,"corporation":false,"usgs":false,"family":"Fudickar","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":707137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greives, Timothy J","contributorId":195455,"corporation":false,"usgs":false,"family":"Greives","given":"Timothy","email":"","middleInitial":"J","affiliations":[{"id":33953,"text":"North Dakota State University, Fargo, ND","active":true,"usgs":false}],"preferred":false,"id":707138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abolins-Abols, Mikas","contributorId":195456,"corporation":false,"usgs":false,"family":"Abolins-Abols","given":"Mikas","email":"","affiliations":[{"id":20322,"text":"Department of Biology Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":707139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwell, Jonathan W.","contributorId":168421,"corporation":false,"usgs":false,"family":"Atwell","given":"Jonathan","email":"","middleInitial":"W.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":707140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meddle, Simone L.","contributorId":195457,"corporation":false,"usgs":false,"family":"Meddle","given":"Simone","email":"","middleInitial":"L.","affiliations":[{"id":33124,"text":"University of Edinburgh, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":707141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friis, Guillermo","contributorId":195458,"corporation":false,"usgs":false,"family":"Friis","given":"Guillermo","email":"","affiliations":[{"id":34274,"text":"Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":707142,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707136,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ketterson, Ellen D.","contributorId":168422,"corporation":false,"usgs":false,"family":"Ketterson","given":"Ellen","email":"","middleInitial":"D.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":707143,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190008,"text":"70190008 - 2017 - Interpreting surveys to estimate the size of the monarch butterfly population: Pitfalls and prospects","interactions":[],"lastModifiedDate":"2017-08-02T17:16:08","indexId":"70190008","displayToPublicDate":"2017-08-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interpreting surveys to estimate the size of the monarch butterfly population: Pitfalls and prospects","docAbstract":"To assess the change in the size of the eastern North American monarch butterfly summer population, studies have used long-term data sets of counts of adult butterflies or eggs per milkweed stem. Despite the observed decline in the monarch population as measured at overwintering sites in Mexico, these studies found no decline in summer counts in the Midwest, the core of the summer breeding range, leading to a suggestion that the cause of the monarch population decline is not the loss of Midwest agricultural milkweeds but increased mortality during the fall migration. Using these counts to estimate population size, however, does not account for the shift of monarch activity from agricultural fields to non-agricultural sites over the past 20 years, as a result of the loss of agricultural milkweeds due to the near-ubiquitous use of glyphosate herbicides. We present the counter-hypotheses that the proportion of the monarch population present in non-agricultural habitats, where counts are made, has increased and that counts reflect both population size and the proportion of the population observed. We use data on the historical change in the proportion of milkweeds, and thus monarch activity, in agricultural fields and non-agricultural habitats to show why using counts can produce misleading conclusions about population size. We then separate out the shifting proportion effect from the counts to estimate the population size and show that these corrected summer monarch counts show a decline over time and are correlated with the size of the overwintering population. In addition, we present evidence against the hypothesis of increased mortality during migration. The milkweed limitation hypothesis for monarch decline remains supported and conservation efforts focusing on adding milkweeds to the landscape in the summer breeding region have a sound scientific basis.
","language":"English","publisher":"Wiley","doi":"10.1371/journal.pone.0181245","usgsCitation":"Pleasants, J., Zalucki, M.P., Oberhauser, K.S., Brower, L.P., Taylor, O.R., and Thogmartin, W.E., 2017, Interpreting surveys to estimate the size of the monarch butterfly population: Pitfalls and prospects: PLoS ONE, v. 12, no. 7, Article e0181245; 16 p., https://doi.org/10.1371/journal.pone.0181245.","productDescription":"Article e0181245; 16 p.","ipdsId":"IP-076480","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0181245","text":"Publisher Index Page"},{"id":344542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-14","publicationStatus":"PW","scienceBaseUri":"5982e4aae4b0e2f5d464b711","contributors":{"authors":[{"text":"Pleasants, John M.","contributorId":168616,"corporation":false,"usgs":false,"family":"Pleasants","given":"John M.","affiliations":[{"id":25341,"text":"Department of Ecology, Evolution, and Organismal Biology, Iowa State University","active":true,"usgs":false}],"preferred":false,"id":707165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zalucki, Myron P.","contributorId":195450,"corporation":false,"usgs":false,"family":"Zalucki","given":"Myron","email":"","middleInitial":"P.","affiliations":[{"id":7031,"text":"School of Biological Sciences, University of Queensland","active":true,"usgs":false}],"preferred":false,"id":707166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberhauser, Karen S.","contributorId":195451,"corporation":false,"usgs":false,"family":"Oberhauser","given":"Karen","email":"","middleInitial":"S.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":707167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brower, Lincoln P.","contributorId":195452,"corporation":false,"usgs":false,"family":"Brower","given":"Lincoln","email":"","middleInitial":"P.","affiliations":[{"id":34276,"text":"Sweet Briar College, Sweet Briar, VA","active":true,"usgs":false}],"preferred":false,"id":707168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Orley R.","contributorId":191432,"corporation":false,"usgs":false,"family":"Taylor","given":"Orley","email":"","middleInitial":"R.","affiliations":[{"id":28093,"text":"Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA","active":true,"usgs":false}],"preferred":false,"id":707169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":707170,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190003,"text":"70190003 - 2017 - Restoring monarch butterfly habitat in the Midwestern US: 'All hands on deck'","interactions":[],"lastModifiedDate":"2017-08-02T18:05:58","indexId":"70190003","displayToPublicDate":"2017-08-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Restoring monarch butterfly habitat in the Midwestern US: 'All hands on deck'","docAbstract":"The eastern migratory population of monarch butterflies (Danaus plexippus plexippus) has declined by >80% within the last two decades. One possible cause of this decline is the loss of ≥1.3 billion stems of milkweed (Asclepias spp.), which monarchs require for reproduction. In an effort to restore monarchs to a population goal established by the US Fish and Wildlife Service and adopted by Mexico, Canada, and the US, we developed scenarios for amending the Midwestern US landscape with milkweed. Scenarios for milkweed restoration were developed for protected area grasslands, Conservation Reserve Program land, powerline, rail and roadside rights of way, urban/suburban lands, and land in agricultural production. Agricultural land was further divided into productive and marginal cropland. We elicited expert opinion as to the biological potential (in stems per acre) for lands in these individual sectors to support milkweed restoration and the likely adoption (probability) of management practices necessary for affecting restoration. Sixteen of 218 scenarios we developed for restoring milkweed to the Midwestern US were at levels (>1.3 billion new stems) necessary to reach the monarch population goal. One of these scenarios would convert all marginal agriculture to conserved status. The other 15 scenarios converted half of marginal agriculture (730 million stems), with remaining stems contributed by other societal sectors. Scenarios without substantive agricultural participation were insufficient for attaining the population goal. Agricultural lands are essential to reaching restoration targets because they occupy 77% of all potential monarch habitat. Barring fundamental changes to policy, innovative application of economic tools such as habitat exchanges may provide sufficient resources to tip the balance of the agro-ecological landscape toward a setting conducive to both robust agricultural production and reduced imperilment of the migratory monarch butterfly.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1088/1748-9326/aa7637","usgsCitation":"Thogmartin, W.E., Lopez-Hoffman, L., Rohweder, J.J., Diffendorfer, J., Drum, R.G., Semmens, D.J., Black, S., Caldwell, I., Cotter, D., Drobney, P., Jackson, L.L., Gale, M., Helmers, D., Hilburger, S.B., Howard, E., Oberhauser, K.S., Pleasants, J., Semmens, B.X., Taylor, O.R., Ward, P., Weltzin, J., and Wiederholt, R., 2017, Restoring monarch butterfly habitat in the Midwestern US: 'All hands on deck': Conservation Letters, v. 12, Article 074005; 10 p., https://doi.org/10.1088/1748-9326/aa7637.","productDescription":"Article 074005; 10 p.","ipdsId":"IP-077663","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aa7637","text":"Publisher Index 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Seamless elevation data are available for the conterminous United States, Hawaii, Alaska, and the U.S. territories, in three different resolutions—1/3-arc-second, 1-arc-second, and 2-arc-second. These specifications include requirements and standards information about source data requirements, spatial reference system, distribution tiling schemes, horizontal resolution, vertical accuracy, digital elevation model surface treatment, georeferencing, data source and tile dates, distribution and supporting file formats, void areas, metadata, spatial metadata, and quality assurance and control.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: U.S. Geological Survey Standards in Book 11: Collection and Delineation of Spatial Data","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11B9","usgsCitation":"Archuleta, C.M., Constance, E.W., Arundel, S.T., Lowe, A.J., Mantey, K.S., and Phillips, L.A., 2017, The National Map seamless digital elevation model specifications: U.S. Geological Survey Techniques and Methods, book 11, chap. B9, 39 p., https://doi.org/10.3133/tm11B9.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-083616","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":344505,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11b9/tm11B9.pdf","text":"Report","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 11–B–9"},{"id":344504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11b9/coverthb.jpg"}],"publicComments":"This report is Chapter 9 of Section B: U.S. Geological Survey Standards in Book 11: Collection and Delineation of Spatial Data","contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The efficacy and residual toxicity of a sodium hydroxide (NaOH) based ballast water treatment system (BWTS) were tested aboard the Great Lakes carrier M/V American Spiritin 1000 L mesocosms containing water from the ship's ballast tanks. NaOH was added to elevate the pH to 11.5 or 11.7 for 48 h, after which pH was reduced to < 9 before discharge by sparging with carbon dioxide to form sodium bicarbonate. In 4 trials, pH 11.7 NaOH BW was highly effective in reducing the densities of organisms relative to uptake water and met the ballast water discharge standards of the US Coast Guard (USCG), the US Environmental Protection Agency vessel general permit (USEPA VGP) and the International Maritime Organization (IMO) G8 for the classes of regulated organisms: ≥ 50 μm, ≥ 10 μm to < 50 μm and indicator bacteria < 10 μm. In addition, densities of heterotrophic bacteria were reduced > 96% in pH 11.7 treated discharge water relative to uptake densities. Seven day whole effluent toxicity tests indicated pH 11.7 NaOH BW met the USEPA VGP daily maximum criteria for residual toxicity. Organism densities in uptake water did not meet the minimum densities for IMO G8 shipboard test validity in 2 of 4 trials for organisms ≥ 10 μm to < 50 μm or in any trials for the < 10 μm size class. The high efficacy and low residual toxicity observed indicates that a NaOH BWTS has great potential for successfully treating large volumes of ballast water released into freshwater systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.04.004","usgsCitation":"Elskus, A., Mitchelmore, C.L., Wright, D., Henquinet, J.W., Welschmeyer, N., Flynn, C., and Watten, B.J., 2017, Efficacy and residual toxicity of a sodium hydroxide based ballast water treatment system for freshwater bulk freighters: Journal of Great Lakes Research, v. 43, no. 4, p. 744-754, https://doi.org/10.1016/j.jglr.2017.04.004.","productDescription":"11 p.","startPage":"744","endPage":"754","ipdsId":"IP-080283","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":461439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.04.004","text":"Publisher Index Page"},{"id":356208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc608e4b0f5d57878eb59","contributors":{"authors":[{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":695665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchelmore, Carys L.","contributorId":192158,"corporation":false,"usgs":false,"family":"Mitchelmore","given":"Carys","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, David","contributorId":106758,"corporation":false,"usgs":true,"family":"Wright","given":"David","affiliations":[],"preferred":false,"id":695667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henquinet, Jeffrey W.","contributorId":171741,"corporation":false,"usgs":false,"family":"Henquinet","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":695668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welschmeyer, Nicholas","contributorId":192161,"corporation":false,"usgs":false,"family":"Welschmeyer","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":695669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flynn, Colin","contributorId":192162,"corporation":false,"usgs":false,"family":"Flynn","given":"Colin","email":"","affiliations":[],"preferred":false,"id":695670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":695671,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198424,"text":"70198424 - 2017 - Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk","interactions":[],"lastModifiedDate":"2018-08-03T14:37:55","indexId":"70198424","displayToPublicDate":"2017-08-01T14:37:49","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk","docAbstract":"Although organisms make resource selection decisions at multiple spatiotemporal scales, not all scales are ecologically relevant to any given organism. Ecological patterns and rhythms such as behavioral and climatic patterns may provide a consistent method for identifying ecologically relevant scales of habitat selection. Using elk (Cervus canadensis) as an example species, we sought to test the ability of behavioral patterns to empirically partition diel scales for modeling habitat selection. We used model selection to partition diel scales by shifts in dominant behavior and then used resource selection probability functions to model elk habitat selection hierarchically at diel scales within seasons. Model selection distinguished four diel temporal partitions following elk crepuscular behavioral patterns: dawn, midday, dusk, and night. Across seasons, model‐averaged coefficients indicated that elk shifted from selecting grassland cover at dawn/dusk, to selecting for greater canopy and forest cover at midday, and then to areas with greater herbaceous biomass at night. Top models changed between diel intervals in spring and fall but stayed the same across diel intervals in winter and summer. In winter, elk selected for southern aspects during midday, for unburned areas at dawn/dusk, and for areas burned within 1–3 yr at dawn/dusk and night. In spring, elk selected for northern aspects and for areas burned within 1–3 yr at midday, for areas farther from roads at dawn/dusk and midday, and for areas farther from water at midday. In summer, elk changed diel preferences for fewer covariates: At dawn/dusk and midday, elk selected for areas farther from water and avoided forest cover, and at night, elk selected for areas burned within 1–3 yr. In fall, elk selected for areas burned the previous year at dawn/dusk and night, for higher elevations at midday, and for areas closer water at night. Using behavioral patterns to identify ecologically relevant scales can help identify overlooked habitat requirements such as diel changes in preference for fire history, forage availability, and cover. We show that the ecological relevancy of a given scale (e.g., a diel temporal scale) can change throughout a given extent (e.g., across seasons).
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2013","usgsCitation":"Roberts, C.P., Cain, J.W., and Cox, R.D., 2017, Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk: Ecosphere, v. 8, no. 11, p. 1-16, https://doi.org/10.1002/ecs2.2013.","productDescription":"e02013; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-085764","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2013","text":"Publisher Index Page"},{"id":356155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.97662353515624,\n 35.50092819950358\n ],\n [\n -106.13754272460938,\n 35.50092819950358\n ],\n [\n -106.13754272460938,\n 36.05798104702501\n ],\n [\n -106.97662353515624,\n 36.05798104702501\n ],\n [\n -106.97662353515624,\n 35.50092819950358\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5b6fc609e4b0f5d57878eb5b","contributors":{"authors":[{"text":"Roberts, Caleb P. 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":197604,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","middleInitial":"P.","affiliations":[],"preferred":false,"id":741599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert D.","contributorId":26240,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":741600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198400,"text":"70198400 - 2017 - New constraints on coseismic slip during southern Cascadia subduction zone earthquakes over the past 4600 years implied by tsunami deposits and marine turbidites","interactions":[],"lastModifiedDate":"2018-08-03T10:54:06","indexId":"70198400","displayToPublicDate":"2017-08-01T10:53:57","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"New constraints on coseismic slip during southern Cascadia subduction zone earthquakes over the past 4600 years implied by tsunami deposits and marine turbidites","docAbstract":"Forecasting earthquake and tsunami hazards along the southern Cascadia subduction zone is complicated by uncertainties in the amount of megathrust fault slip during past ruptures. Here, we estimate slip on hypothetical ruptures of the southern part of the megathrust through comparisons of late Holocene Cascadia earthquake histories derived from tsunami deposits on land and marine turbidites offshore. Bradley Lake in southern Oregon lies ~600 m landward of the shoreline and contains deposits from 12 tsunamis in the past 4600 years. Tsunami simulations that overtop the 6-m-high lake outlet, generated by ruptures with most slip south of Cape Blanco, require release of at least as much strain on the megathrust as would accumulate in 430–640 years (>15–22 m). Such high slip is inconsistent with global seismic data for a rupture ~300-km long and slip deficits over the past ~4700 years on the southern Cascadia subduction zone. Assuming slip deficits accumulated during the time intervals between marine turbidites, up to 8 of 12 tsunami inundations at the lake are predicted from a marine core site 170 km north of the lake (at Hydrate Ridge) compared to 4 of 12 when using a core site ~80 km south (at Rogue Apron). Longer time intervals between turbidites at Hydrate Ridge imply larger slip deficits compared to Rogue Apron. The different inundations predicted by the two records suggest that Hydrate Ridge records subduction ruptures that extend past both Rogue Apron and Bradley Lake. We also show how turbidite-based estimates of CSZ rupture length relate to tsunami source scenarios for probabilistic tsunami hazard assessments consistent with lake inundations over the last ~4600 years.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-017-2864-9","usgsCitation":"Priest, G.R., Witter, R., Zhang, Y.J., Goldfinger, C., Wang, K., and Allan, J.C., 2017, New constraints on coseismic slip during southern Cascadia subduction zone earthquakes over the past 4600 years implied by tsunami deposits and marine turbidites: Natural Hazards, v. 88, no. 1, p. 285-313, https://doi.org/10.1007/s11069-017-2864-9.","productDescription":"29 p.","startPage":"285","endPage":"313","ipdsId":"IP-086547","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488399,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/734","text":"External Repository"},{"id":356129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.5,\n 42\n ],\n [\n -123.75,\n 42\n ],\n [\n -123.75,\n 45\n ],\n [\n -125.5,\n 45\n ],\n [\n -125.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5b6fc609e4b0f5d57878eb5d","contributors":{"authors":[{"text":"Priest, George R.","contributorId":206646,"corporation":false,"usgs":false,"family":"Priest","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":37367,"text":"Oregon Dept. of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":741351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":741350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yinglong J.","contributorId":206647,"corporation":false,"usgs":false,"family":"Zhang","given":"Yinglong","email":"","middleInitial":"J.","affiliations":[{"id":37368,"text":"Center for Coastal Resources Management, VA Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":741352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldfinger, Chris","contributorId":195634,"corporation":false,"usgs":false,"family":"Goldfinger","given":"Chris","email":"","affiliations":[],"preferred":false,"id":741353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Kelin","contributorId":194791,"corporation":false,"usgs":false,"family":"Wang","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":741354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allan, Jonathan C.","contributorId":118007,"corporation":false,"usgs":false,"family":"Allan","given":"Jonathan","email":"","middleInitial":"C.","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":741355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193640,"text":"70193640 - 2017 - Distribution and migration chronology of Eastern population sandhill cranes","interactions":[],"lastModifiedDate":"2018-03-29T14:26:33","indexId":"70193640","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and migration chronology of Eastern population sandhill cranes","docAbstract":"The Eastern Population (EP) of greater sandhill cranes (Antigone canadensis tabida; cranes) is expanding in size and geographic range. Little information exists regarding the geographic extent of breeding, migration, and wintering ranges, migration chronology, or use of staging areas for cranes in the EP. To obtain these data, we attached solar global positioning system (GPS) platform transmitting terminals (PTTs) to 42 sandhill cranes and monitored daily locations from December 2009 through August 2014. On average, tagged cranes settled in summer areas during late‐March in Minnesota (7%), Wisconsin (29%), Michigan, USA (21%), and Ontario, Canada (38%) and arrived at their winter terminus beginning mid‐December in Indiana (15%), Kentucky (3%), Tennessee (45%), Georgia (5%), and Florida (32%). Cranes initiated spring migration beginning mid‐February to their respective summer areas on routes similar to those used during fall migration. Twenty‐five marked cranes returned to the same summer area after a second spring migration, of which 19 (76%) settled <3 km from the estimated mean center of the summer area of the previous year. During the 2010–2012 United States Fish and Wildlife Service (USFWS) Cooperative Fall Abundance Survey for cranes in the EP, we estimated that approximately 29–31% of cranes that summered in both Wisconsin and the Lower Peninsula of Michigan were not in areas included in the survey. The information we collected on crane movements provides insight into distribution and migration chronology that will aid in assessment of the current USFWS fall survey. In addition, information on specific use sites can assist state and federal managers to identify and protect key staging and winter areas particularly during current and future recreational harvest seasons.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21272","usgsCitation":"Fronczak, D.L., Andersen, D.E., Hanna, E.E., and Cooper, T.R., 2017, Distribution and migration chronology of Eastern population sandhill cranes: Journal of Wildlife Management, v. 81, no. 6, p. 1021-1032, https://doi.org/10.1002/jwmg.21272.","productDescription":"12 p.","startPage":"1021","endPage":"1032","ipdsId":"IP-070501","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21272","text":"Publisher Index Page"},{"id":352953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f7","contributors":{"authors":[{"text":"Fronczak, David L.","contributorId":191560,"corporation":false,"usgs":false,"family":"Fronczak","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanna, Everett E.","contributorId":191561,"corporation":false,"usgs":false,"family":"Hanna","given":"Everett","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":732040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Thomas R.","contributorId":191468,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732041,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}