We built a population viability analysis (PVA) model to predict future population status of the lesser prairie-chicken (Tympanuchus pallidicinctus, LEPC) in four ecoregions across the species’ range. The model results will be used in the U.S. Fish and Wildlife Service's (FWS) Species Status Assessment (SSA) for the LEPC. Our stochastic projection model combined demographic rate estimates from previously published literature with demographic rate estimates that integrate the influence of climate conditions. This LEPC PVA projects declining populations with estimated population growth rates well below 1 in each ecoregion regardless of habitat or climate change. These results are consistent with estimates of LEPC population growth rates derived from other demographic process models. Although the absolute magnitude of the decline is unlikely to be as low as modeling tools indicate, several different lines of evidence suggest LEPC populations are declining.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171071","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Cummings, J.W., Converse, S.J., Moore, C.T., Smith, D.R., Nichols, C.T., Allan, N.L., and O'Meilia, C.M., 2017, A projection of lesser prairie chicken (Tympanuchus pallidicinctus) populations range-wide: U.S. Geological Survey Open-File Report 2017-1071, 60 p., https://doi.org/10.3133/ofr20171071.","productDescription":"vi, 60 p.","onlineOnly":"Y","ipdsId":"IP-087040","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":343047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1071/coverthb.jpg"},{"id":343048,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1071/ofr20171071.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1071"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.99609375,\n 32.045332838858506\n ],\n [\n -98.3056640625,\n 32.045332838858506\n ],\n [\n -98.3056640625,\n 39.436192999314095\n ],\n [\n -105.99609375,\n 39.436192999314095\n ],\n [\n -105.99609375,\n 32.045332838858506\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Leader, Washington Cooperative Fish and Wildlife Research Unit
U.S. Geological Survey
Fishery Sciences Building, Box 355020
University of Washington
Seattle, Washington, 98195
The stochastic empirical loading and dilution model (SELDM) was used to demonstrate methods for estimating risks for water-quality exceedances of event-mean concentrations (EMCs) of total-copper. Monte Carlo methods were used to simulate stormflow, total-hardness, suspended-sediment, and total-copper EMCs as stochastic variables. These simulations were done for the Charles River Basin upstream of Interstate 495 in Bellingham, Massachusetts. The hydrology and water quality of this site were simulated with SELDM by using data from nearby, hydrologically similar sites. Three simulations were done to assess the potential effects of the highway on receiving-water quality with and without highway-runoff treatment by a structural best-management practice (BMP). In the low-development scenario, total copper in the receiving stream was simulated by using a sediment transport curve, sediment chemistry, and sediment-water partition coefficients. In this scenario, neither the highway runoff nor the BMP effluent caused concentration exceedances in the receiving stream that exceed the once in three-year threshold (about 0.54 percent). In the second scenario, without the highway, runoff from the large urban areas in the basin caused exceedances in the receiving stream in 2.24 percent of runoff events. In the third scenario, which included the effects of the urban runoff, neither the highway runoff nor the BMP effluent increased the percentage of exceedances in the receiving stream. Comparison of the simulated geometric mean EMCs with data collected at a downstream monitoring site indicates that these simulated values are within the 95-percent confidence interval of the geometric mean of the measured EMCs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2017: Watershed management, irrigation and drainage, and water resources planning and management","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2017","conferenceDate":"May 21-25, 2017","conferenceLocation":"Sacremento, CA","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/9780784480601.028","isbn":"978-0-7844-8060-1","usgsCitation":"Granato, G.E., and Jones, S.C., 2017, Estimating risks for water-quality exceedances of total-copper from highway and urban runoff under predevelopment and current conditions with the Stochastic Empirical Loading and Dilution Model (SELDM), in World environmental and water resources congress 2017: Watershed management, irrigation and drainage, and water resources planning and management, Sacremento, CA, May 21-25, 2017, p. 313-327, https://doi.org/10.1061/9780784480601.028.","productDescription":"15 p.","startPage":"313","endPage":"327","ipdsId":"IP-074316","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":344706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"598c1f3ee4b09fa1cb0ffef3","contributors":{"editors":[{"text":"Dunn, Christopher N.","contributorId":195552,"corporation":false,"usgs":false,"family":"Dunn","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":707424,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Van Weele, Brian","contributorId":176821,"corporation":false,"usgs":false,"family":"Van Weele","given":"Brian","email":"","affiliations":[],"preferred":false,"id":707425,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":147346,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":707417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":707418,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190051,"text":"70190051 - 2017 - Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent","interactions":[],"lastModifiedDate":"2017-08-07T16:53:26","indexId":"70190051","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1896,"text":"Herpetological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent","docAbstract":"Our study represents the first attempt to describe biogeographic provinces for North American (México, United States, and Canada) turtles. We analyzed three nested data sets separately: (1) all turtles, (2) freshwater turtles, and (3) aquatic turtles. We georeferenced North American turtle distributions, then we created presence–absence matrices for each of the three data sets. We used watershed unit as biogeographic units. We conducted an unweighted pair-group method with arithmetic mean clustering analysis on each Jaccard index distance matrix from our watershed species matrices to delineate biogeographic provinces. Provinces were then tested for significant differences in species compositions in a global model with the use of a one-way analysis of similarity. We conducted a best subset of environmental variables with maximum (rank) correlation with community dissimilarities that determined the best model of abiotic variables explaining province delineation (i.e., climate, topography, and stream channel). To identify which species contributed the most to province delineations, we conducted an indicator species analysis and a similarity-percentage analysis. There were 16 all-turtle provinces, 15 freshwater provinces, and 13 aquatic provinces. Species compositions delineating the provinces were explained by abiotic variables, including mean annual precipitation, mean precipitation seasonality, and diversity of streams. Province delineations correspond closely with geographical boundaries, many of which have Pleistocene origins. For example, rivers with a history of carrying glacial runoff (e.g., Arkansas, Mississippi) sometimes dissect upland provinces, especially for aquatic and semiaquatic turtles. Compared with freshwater fishes, turtles show greater sensitivity to decreased temperature with restriction of most taxa south of the last permafrost maximum. Turtles also exhibit higher sensitivity to climatic, geomorphic, and tectonic instability, with richness and endemism concentrated along the more stable Gulf of México and Atlantic (south of the last permafrost maximum) coasts. Although distribution data indicate two aquatic turtles are most cold tolerant (i.e., Chrysemys picta, Chelydra serpentina), aquatic turtles overall show the most restriction to warmer, wetter climates. Sequential addition of semiaquatic and terrestrial turtles into analyses shows, as expected, that these taxa flesh out turtle faunas in climatically harsh (e.g., grasslands) or remote (e.g., California, Sonoran Desert) regions. The turtle assemblages of southwestern versus southeastern North America are distinct. But there is a transition zone across the semiarid plains of the Texas Gulf Coast, High Plains, and Chihuahuan Desert, including a strong boundary congruent with the Cochise Filter-Barrier. This is not a simple subdivision of Neotropical versus Nearctic taxa, as some lineages from both realms span the transition zone.
","language":"English","publisher":"The Herpetologists’ League","doi":"10.1655/HERPMONOGRAPHS-D-16-00013","usgsCitation":"Ennen, J.R., Matamoros, W.A., Agha, M., Lovich, J.E., Sweat, S.C., and Hoagstrom, C.W., 2017, Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent: Herpetological Monographs, v. 31, no. 1, p. 114-140, https://doi.org/10.1655/HERPMONOGRAPHS-D-16-00013.","productDescription":"27 p.","startPage":"114","endPage":"140","ipdsId":"IP-080651","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59897c0ee4b09fa1cb0c2bf1","contributors":{"authors":[{"text":"Ennen, Joshua R.","contributorId":83858,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matamoros, Wilfredo A.","contributorId":172518,"corporation":false,"usgs":false,"family":"Matamoros","given":"Wilfredo","email":"","middleInitial":"A.","affiliations":[{"id":27060,"text":"Facultad de Ciencias Biologicas, Universidad de Cencias y Artes de Chiapas, Museo de Zoologia, Tuxtla Gutiérrez, Chiapas, México Apartado Postal 29000, México","active":true,"usgs":false}],"preferred":false,"id":707332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":707333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":707329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweat, Sarah C.","contributorId":195519,"corporation":false,"usgs":false,"family":"Sweat","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":707331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoagstrom, Christopher W.","contributorId":195520,"corporation":false,"usgs":false,"family":"Hoagstrom","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":707334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192468,"text":"70192468 - 2017 - Combining multiple earthquake models in real time for earthquake early warning","interactions":[],"lastModifiedDate":"2017-12-12T12:45:05","indexId":"70192468","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining multiple earthquake models in real time for earthquake early warning","docAbstract":"The ultimate goal of earthquake early warning (EEW) is to provide local shaking information to users before the strong shaking from an earthquake reaches their location. This is accomplished by operating one or more real‐time analyses that attempt to predict shaking intensity, often by estimating the earthquake’s location and magnitude and then predicting the ground motion from that point source. Other EEW algorithms use finite rupture models or may directly estimate ground motion without first solving for an earthquake source. EEW performance could be improved if the information from these diverse and independent prediction models could be combined into one unified, ground‐motion prediction. In this article, we set the forecast shaking at each location as the common ground to combine all these predictions and introduce a Bayesian approach to creating better ground‐motion predictions. We also describe how this methodology could be used to build a new generation of EEW systems that provide optimal decisions customized for each user based on the user’s individual false‐alarm tolerance and the time necessary for that user to react.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160331","usgsCitation":"Minson, S.E., Wu, S., Beck, J., and Heaton, T.H., 2017, Combining multiple earthquake models in real time for earthquake early warning: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1868-1882, https://doi.org/10.1785/0120160331.","productDescription":"15 p.","startPage":"1868","endPage":"1882","ipdsId":"IP-079620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469618,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20170613-131115322","text":"External Repository"},{"id":347508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-13","publicationStatus":"PW","scienceBaseUri":"59f83a34e4b063d5d30980d0","contributors":{"authors":[{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Stephen","contributorId":198428,"corporation":false,"usgs":false,"family":"Wu","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":716002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, James L","contributorId":198429,"corporation":false,"usgs":false,"family":"Beck","given":"James L","affiliations":[],"preferred":false,"id":716003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heaton, Thomas H.","contributorId":187505,"corporation":false,"usgs":false,"family":"Heaton","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716004,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189892,"text":"70189892 - 2017 - Observed variations in U.S. frost timing linked to atmospheric circulation patterns","interactions":[],"lastModifiedDate":"2017-08-06T16:54:49","indexId":"70189892","displayToPublicDate":"2017-08-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Observed variations in U.S. frost timing linked to atmospheric circulation patterns","docAbstract":"Several studies document lengthening of the frost-free season within the conterminous United States (U.S.) over the past century, and report trends in spring and fall frost timing that could stem from hemispheric warming. In the absence of warming, theory and case studies link anomalous frost timing to atmospheric circulation anomalies. However, recent efforts to relate a century of observed changes in U.S. frost timing to various atmospheric circulations yielded only modest correlations, leaving the relative importance of circulation and warming unclear. Here, we objectively partition the U.S. into four regions and uncover atmospheric circulations that account for 25–48% of spring and fall-frost timing. These circulations appear responsive to historical warming, and they consistently account for more frost timing variability than hemispheric or regional temperature indices. Reliable projections of future variations in growing season length depend on the fidelity of these circulation patterns in global climate models.
","language":"English","publisher":"Nature","doi":"10.1038/ncomms15307","usgsCitation":"Strong, C., and McCabe, G., 2017, Observed variations in U.S. frost timing linked to atmospheric circulation patterns: Nature Communications, v. 8, Article 15307: 9 p., https://doi.org/10.1038/ncomms15307.","productDescription":"Article 15307: 9 p.","ipdsId":"IP-080016","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms15307","text":"Publisher Index Page"},{"id":344610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-23","publicationStatus":"PW","scienceBaseUri":"59882a8ee4b05ba66e9ffdd4","contributors":{"authors":[{"text":"Strong, Courtenay","contributorId":195262,"corporation":false,"usgs":false,"family":"Strong","given":"Courtenay","email":"","affiliations":[],"preferred":false,"id":706635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":706638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":70190024,"text":"70190024 - 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","interactions":[],"lastModifiedDate":"2017-08-04T10:07:58","indexId":"70190024","displayToPublicDate":"2017-08-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"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","docAbstract":"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":70190022,"text":"70190022 - 2017 - Biological and land use controls on the isotopic composition of aquatic carbon in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2018-01-30T21:08:43","indexId":"70190022","displayToPublicDate":"2017-08-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Biological and land use controls on the isotopic composition of aquatic carbon in the Upper Mississippi River Basin","docAbstract":"Riverine ecosystems receive organic matter (OM) from terrestrial sources, internally produce new OM, and biogeochemically cycle and modify organic and inorganic carbon. Major gaps remain in the understanding of the relationships between carbon sources and processing in river systems. Here we synthesize isotopic, elemental, and molecular properties of dissolved organic carbon (DOC), particulate organic carbon (POC), and dissolved inorganic carbon (DIC) in the Upper Mississippi River (UMR) system above Wabasha, MN, including the main stem Mississippi River and its four major tributaries (Minnesota, upper Mississippi, St. Croix, and Chippewa Rivers). Our goal was to elucidate how biological processing modifies the chemical and isotopic composition of aquatic carbon pools during transport downstream in a large river system with natural and man-made impoundments. Relationships between land cover and DOC carbon-isotope composition, absorbance, and hydrophobic acid content indicate that DOC retains terrestrial carbon source information, while the terrestrial POC signal is largely replaced by autochthonous organic matter, and DIC integrates the influence of in-stream photosynthesis and respiration of organic matter. The UMR is slightly heterotrophic throughout the year, but pools formed by low-head navigation dams and natural impoundments promote a shift towards autotrophic conditions, altering aquatic ecosystem dynamics and POC and DIC composition. Such changes likely occur in all major river systems affected by low-head dams and need to be incorporated into our understanding of inland water carbon dynamics and processes controlling CO2 emissions from rivers, as new navigation and flood control systems are planned for future river and water resources management.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GB005699","usgsCitation":"Voss, B., Wickland, K.P., Aiken, G.R., and Striegl, R.G., 2017, Biological and land use controls on the isotopic composition of aquatic carbon in the Upper Mississippi River Basin: Global Biogeochemical Cycles, v. 31, no. 8, p. 1271-1288, https://doi.org/10.1002/2017GB005699.","productDescription":"18 p.","startPage":"1271","endPage":"1288","ipdsId":"IP-080077","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gb005699","text":"Publisher Index Page"},{"id":344582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River Basin","volume":"31","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59858807e4b05ba66e9ea298","contributors":{"authors":[{"text":"Voss, Britta 0000-0003-0149-8106 bvoss@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-8106","contributorId":195490,"corporation":false,"usgs":true,"family":"Voss","given":"Britta","email":"bvoss@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":707221,"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":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife 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":70189999,"text":"70189999 - 2017 - Oxygen and U-Th isotopes and the timescales of hydrothermal exchange and melting in granitoid wall rocks at Mount Mazama, Crater Lake, Oregon","interactions":[],"lastModifiedDate":"2017-08-03T07:26:07","indexId":"70189999","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}},"title":"Oxygen and U-Th isotopes and the timescales of hydrothermal exchange and melting in granitoid wall rocks at Mount Mazama, Crater Lake, Oregon","docAbstract":"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":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":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":707060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":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":70188280,"text":"tm11B9 - 2017 - The National Map seamless digital elevation model specifications","interactions":[],"lastModifiedDate":"2018-02-15T12:24:17","indexId":"tm11B9","displayToPublicDate":"2017-08-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B9","title":"The National Map seamless digital elevation model specifications","docAbstract":"This specification documents the requirements and standards used to produce the seamless elevation layers for The National Map of the United States. 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
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
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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
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":70193245,"text":"70193245 - 2017 - A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","interactions":[],"lastModifiedDate":"2018-01-23T09:27:51","indexId":"70193245","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","docAbstract":"Widespread tree mortality associated with drought has been observed on all forested continents and global change is expected to exacerbate vegetation vulnerability. Forest mortality has implications for future biosphere–atmosphere interactions of carbon, water and energy balance, and is poorly represented in dynamic vegetation models. Reducing uncertainty requires improved mortality projections founded on robust physiological processes. However, the proposed mechanisms of drought-induced mortality, including hydraulic failure and carbon starvation, are unresolved. A growing number of empirical studies have investigated these mechanisms, but data have not been consistently analysed across species and biomes using a standardized physiological framework. Here, we show that xylem hydraulic failure was ubiquitous across multiple tree taxa at drought-induced mortality. All species assessed had 60% or higher loss of xylem hydraulic conductivity, consistent with proposed theoretical and modelled survival thresholds. We found diverse responses in non-structural carbohydrate reserves at mortality, indicating that evidence supporting carbon starvation was not universal. Reduced non-structural carbohydrates were more common for gymnosperms than angiosperms, associated with xylem hydraulic vulnerability, and may have a role in reducing hydraulic function. Our finding that hydraulic failure at drought-induced mortality was persistent across species indicates that substantial improvement in vegetation modelling can be achieved using thresholds in hydraulic function.
","language":"English","publisher":"Nature","doi":"10.1038/s41559-017-0248-x","usgsCitation":"Adams, H., Zeppel, M., Anderegg, W.R., Hartmann, H., Landhausser, S.M., Tissue, D.T., Huxman, T.E., Hudson, P.J., Franz, T.E., Allen, C.D., Anderegg, L., Barron-Gafford, G.A., Beerling, D., Breshears, D.D., Brodribb, T.J., Bugmann, H., Cobb, R.C., Collins, A.D., Dickman, L.T., Duan, H., Ewers, B.E., Galiano, L., Galvez, D.A., Garcia-Forner, N., Gaylord, M.L., Germino, M.J., Gessler, A., Hacke, U.G., Hakamada, R., Hector, A., Jenkins, M., Kane, J.M., Kolb, T.E., Law, D., Lewis, J.D., Limousin, J., Love, D., Macalady, A.K., Martínez-Vilalta, J., Mencuccini, M., Mitchell, P.J., Muss, J.D., O’Brien, M.J., O’Grady, A.P., Pangle, R.E., Pinkard, E.A., Piper, F.I., Plaut, J., Pockman, W.T., Quirk, J., Reinhardt, K., Ripullone, F., Ryan, M., Sala, A., Sevanto, S., Sperry, J.S., Vargas, R., Vennetier, M., Way, D.A., Wu, C., Yepez, E.A., and McDowell, N.G., 2017, A multi-species synthesis of physiological mechanisms in drought-induced tree mortality: Nature Ecology & Evolution, v. 1, p. 1285-1291, https://doi.org/10.1038/s41559-017-0248-x.","productDescription":"7 p.","startPage":"1285","endPage":"1291","ipdsId":"IP-072990","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469637,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41559-017-0248-x","text":"External Repository"},{"id":348043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"59fadd21e4b0531197b13c84","contributors":{"authors":[{"text":"Adams, Henry D.","contributorId":105619,"corporation":false,"usgs":true,"family":"Adams","given":"Henry D.","affiliations":[],"preferred":false,"id":719021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeppel, Melanie","contributorId":147096,"corporation":false,"usgs":false,"family":"Zeppel","given":"Melanie","email":"","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":719022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderegg, William R.L.","contributorId":147089,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"R.L.","affiliations":[{"id":16784,"text":"Princeton U.","active":true,"usgs":false}],"preferred":false,"id":719023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartmann, Henrik","contributorId":181974,"corporation":false,"usgs":false,"family":"Hartmann","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":719024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landhausser, Simon M.","contributorId":199409,"corporation":false,"usgs":false,"family":"Landhausser","given":"Simon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tissue, David T.","contributorId":199410,"corporation":false,"usgs":false,"family":"Tissue","given":"David","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":719026,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719027,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hudson, Patrick J.","contributorId":199411,"corporation":false,"usgs":false,"family":"Hudson","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Franz, Trenton E.","contributorId":199412,"corporation":false,"usgs":false,"family":"Franz","given":"Trenton","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719029,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":719155,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Anderegg, Leander D. 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To ameliorate these changes, managers and scientists have begun planning treatments aimed at reducing fuels and increasing understory biodiversity. However, spatial variability in tree density across the landscape is not well-characterized, and if better known, could greatly influence planning efforts. We used reflectance values from individual Landsat 8 bands (bands 2, 3, 4, 5, 6, and 7) and calculated vegetation indices (difference vegetation index, simple ratios, and normalized vegetation indices) to estimate tree density in an area planned for treatment in the Jemez Mountains, New Mexico, characterized by multiple vegetation types and a complex topography. Because different vegetation types have different spectral signatures, we derived models with multiple predictor variables for each vegetation type, rather than using a single model for the entire project area, and compared the model-derived values to values collected from on-the-ground transects. Among conifer-dominated areas (73% of the project area), the best models (as determined by corrected Akaike Information Criteria (AICc)) included Landsat bands 2, 3, 4, and 7 along with simple ratios, normalized vegetation indices, and the difference vegetation index (R2 values for ponderosa: 0.47, piñon-juniper: 0.52, and spruce-fir: 0.66). On the other hand, in aspen-dominated areas (9% of the project area), the best model included individual bands 4 and 2, simple ratio, and normalized vegetation index (R2 value: 0.97). Most areas dominated by ponderosa, pinyon-juniper, or spruce-fir had more than 100 trees per hectare. About 54% of the study area has medium to high density of trees (100–1000 trees/hectare), and a small fraction (4.5%) of the area has very high density (>1000 trees/hectare). Our results provide a better understanding of tree density for identifying areas in need of treatment and planning for more effective treatment. Our analysis also provides an integrated method of estimating tree density across complex landscapes that could be useful for further restoration planning.
","language":"English","publisher":"MDPI","doi":"10.3390/f8080287","usgsCitation":"Humagain, K., Portillo-Quintero, C., Cox, R.D., and Cain, J.W., 2017, Mapping tree density in forests of the southwestern USA using Landsat 8 data: Forests, v. 8, no. 8, p. 1-15, https://doi.org/10.3390/f8080287.","productDescription":"Article 287; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-087221","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8080287","text":"Publisher Index Page"},{"id":347412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.78092956542969,\n 35.621023736228004\n ],\n [\n -106.40396118164062,\n 35.621023736228004\n ],\n [\n -106.40396118164062,\n 36.00134056648952\n ],\n [\n -106.78092956542969,\n 36.00134056648952\n ],\n [\n -106.78092956542969,\n 35.621023736228004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f44","contributors":{"authors":[{"text":"Humagain, Kamal","contributorId":198375,"corporation":false,"usgs":false,"family":"Humagain","given":"Kamal","email":"","affiliations":[],"preferred":false,"id":715906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Portillo-Quintero, Carlos","contributorId":198384,"corporation":false,"usgs":false,"family":"Portillo-Quintero","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":715907,"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":715908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":714002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192038,"text":"70192038 - 2017 - Introduction to “Global tsunami science: Past and future, Volume II”","interactions":[],"lastModifiedDate":"2017-10-24T15:23:45","indexId":"70192038","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to “Global tsunami science: Past and future, Volume II”","docAbstract":"Twenty-two papers on the study of tsunamis are included in Volume II of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 (Eds., E. L. Geist, H. M. Fritz, A. B. Rabinovich, and Y. Tanioka). Three papers in Volume II focus on details of the 2011 and 2016 tsunami-generating earthquakes offshore of Tohoku, Japan. The next six papers describe important case studies and observations of recent and historical events. Four papers related to tsunami hazard assessment are followed by three papers on tsunami hydrodynamics and numerical modelling. Three papers discuss problems of tsunami warning and real-time forecasting. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: volcanic explosions, landslides, and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-017-1638-3","usgsCitation":"Rabinovich, A.B., Fritz, H.M., Tanioka, Y., and Geist, E.L., 2017, Introduction to “Global tsunami science: Past and future, Volume II”: Pure and Applied Geophysics, v. 174, no. 8, p. 2883-2889, https://doi.org/10.1007/s00024-017-1638-3.","productDescription":"7 p.","startPage":"2883","endPage":"2889","ipdsId":"IP-089141","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-017-1638-3","text":"Publisher Index Page"},{"id":347267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d8e","contributors":{"authors":[{"text":"Rabinovich, Alexander B.","contributorId":177506,"corporation":false,"usgs":false,"family":"Rabinovich","given":"Alexander","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Hermann M.","contributorId":194830,"corporation":false,"usgs":false,"family":"Fritz","given":"Hermann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanioka, Yuichiro","contributorId":177507,"corporation":false,"usgs":false,"family":"Tanioka","given":"Yuichiro","email":"","affiliations":[],"preferred":false,"id":713951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192610,"text":"70192610 - 2017 - Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","interactions":[],"lastModifiedDate":"2017-11-10T11:32:56","indexId":"70192610","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","title":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","docAbstract":"Burbot, Lota lota (Linnaeus), is a regionally popular sportfish in the Wind River drainage of Wyoming, USA, at the southern boundary of the range of the species. Recent declines in burbot abundances were hypothesised to be caused by overexploitation, entrainment in irrigation canals and habitat loss. This study addressed the overexploitation hypothesis using tagging data to generate reliable exploitation, abundance and density estimates from a multistate capture–recapture model that accounted for incomplete angler reporting and tag loss. Exploitation rate μ was variable among the study lakes and inversely correlated with density. Exploitation thresholds μ40 associated with population densities remaining above 40% of carrying capacity were generated to characterise risk of overharvest using exploitation and density estimates from tagging data and a logistic surplus-production model parameterised with data from other burbot populations. Bull Lake (μ = 0.06, 95% CI: 0.03–0.11; μ40 = 0.18) and Torrey Lake (μ = 0.02, 95% CI: 0.00–0.11; μ40 = 0.18) had a low risk of overfishing, Upper Dinwoody Lake had intermediate risk (μ = 0.08, 95% CI: 0.02–0.32; μ40 = 0.18) and Lower Dinwoody Lake had high risk (μ = 0.32, 95% CI: 0.10–0.67; μ40 = 0.08). These exploitation and density estimates can be used to guide sustainable management of the Wind River drainage recreational burbot fishery and inform management of other burbot fisheries elsewhere.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12226","usgsCitation":"Lewandoski, S., Guy, C.S., Zale, A.V., Gerrity, P.C., Deromedi, J.W., Johnson, K.M., and Skates, D.L., 2017, Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model: Fisheries Management and Ecology, v. 24, no. 4, p. 298-307, https://doi.org/10.1111/fme.12226.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-076704","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"24","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86108","contributors":{"authors":[{"text":"Lewandoski, S. A.","contributorId":200246,"corporation":false,"usgs":false,"family":"Lewandoski","given":"S. 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W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skates, D. L.","contributorId":200248,"corporation":false,"usgs":false,"family":"Skates","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194201,"text":"70194201 - 2017 - Paltry past-precipitation: Predisposing prairie dogs to plague?","interactions":[],"lastModifiedDate":"2017-11-17T15:14:11","indexId":"70194201","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":"Paltry past-precipitation: Predisposing prairie dogs to plague?","docAbstract":"The plague bacterium Yersinia pestis was introduced to California in 1900 and spread rapidly as a sylvatic disease of mammalian hosts and flea vectors, invading the Great Plains in the United States by the 1930s to 1940s. In grassland ecosystems, plague causes periodic, devastating epizootics in colonies of black-tailed prairie dogs (Cynomys ludovicianus), sciurid rodents that create and maintain subterranean burrows. In doing so, plague inhibits prairie dogs from functioning as keystone species of grassland communities. The rate at which fleas transmit Y. pestis is thought to increase when fleas are abundant. Flea densities can increase during droughts when vegetative production is reduced and herbivorous prairie dogs are malnourished and have weakened defenses against fleas. Epizootics of plague have erupted frequently in prairie dogs during years in which precipitation was plentiful, and the accompanying cool temperatures might have facilitated the rate at which fleas transmitted Y. pestis. Together these observations evoke the hypothesis that transitions from dry-to-wet years provide conditions for plague epizootics in prairie dogs. Using generalized linear models, we analyzed a 24-year dataset on the occurrence of plague epizootics in 42 colonies of prairie dogs from Colorado, USA, 1982–2005. Of the 33 epizootics observed, 52% erupted during years with increased precipitation in summer. For the years with increased summer precipitation, if precipitation in the prior growing season declined from the maximum of 502 mm to the minimum of 200 mm, the prevalence of plague epizootics was predicted to increase 3-fold. Thus, reduced precipitation may have predisposed prairie dogs to plague epizootics when moisture returned. Biologists sometimes assume dry conditions are detrimental for plague. However, 48% of epizootics occurred during years in which precipitation was scarce in summer. In some cases, an increased abundance of fleas during dry years might compensate for other conditions that become less favorable for plague transmission. Global warming is forecasted to amplify the hydrological cycle in the Great Plains, causing an increased occurrence of prolonged droughts interceded by brief periods of intense precipitation. Results herein suggest these changes might affect plague cycles in prairie dogs. Both negative and positive consequences of dry conditions should be considered when managing plague.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21281","usgsCitation":"Eads, D., and Biggins, D.E., 2017, Paltry past-precipitation: Predisposing prairie dogs to plague?: Journal of Wildlife Management, v. 81, no. 6, p. 990-998, https://doi.org/10.1002/jwmg.21281.","productDescription":"9 p.","startPage":"990","endPage":"998","ipdsId":"IP-086521","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438257,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0K17","text":"USGS data release","linkHelpText":"Occurrence of plague epizootics in colonies of black-tailed prairie dogs, Pawnee National Grassland, Colorado, 1982-2005"},{"id":349075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b6","contributors":{"authors":[{"text":"Eads, David deads@usgs.gov","contributorId":200549,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","affiliations":[],"preferred":true,"id":722638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196468,"text":"70196468 - 2017 - Integrating geographically isolated wetlands into land management decisions","interactions":[],"lastModifiedDate":"2018-05-07T10:55:59","indexId":"70196468","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Integrating geographically isolated wetlands into land management decisions","docAbstract":"Wetlands across the globe provide extensive ecosystem services. However, many wetlands – especially those surrounded by uplands, often referred to as geographically isolated wetlands (GIWs) – remain poorly protected. Protection and restoration of wetlands frequently requires information on their hydrologic connectivity to other surface waters, and their cumulative watershed‐scale effects. The integration of measurements and models can supply this information. However, the types of measurements and models that should be integrated are dependent on management questions and information compatibility. We summarize the importance of GIWs in watersheds and discuss what wetland connectivity means in both science and management contexts. We then describe the latest tools available to quantify GIW connectivity and explore crucial next steps to enhancing and integrating such tools. These advancements will ensure that appropriate tools are used in GIW decision making and maintaining the important ecosystem services that these wetlands support.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1504","usgsCitation":"Golden, H.E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M.C., McLaughlin, D.L., Alexander, L.C., Ameli, A.A., Christensen, J.R., Evenson, G.R., Jones, C.N., Lane, C., and Lang, M., 2017, Integrating geographically isolated wetlands into land management decisions: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 319-327, https://doi.org/10.1002/fee.1504.","productDescription":"9 p.","startPage":"319","endPage":"327","ipdsId":"IP-088147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6261316","text":"External Repository"},{"id":353288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f5","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":733024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":733025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":733026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Nandita","contributorId":156369,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","affiliations":[{"id":20330,"text":"Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1","active":true,"usgs":false}],"preferred":false,"id":733027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":733028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ameli, Ali A.","contributorId":204057,"corporation":false,"usgs":false,"family":"Ameli","given":"Ali","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":733031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":733033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Charles N.","contributorId":204060,"corporation":false,"usgs":false,"family":"Jones","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":733034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":733035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":733036,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70193539,"text":"70193539 - 2017 - Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","interactions":[],"lastModifiedDate":"2017-11-14T13:24:12","indexId":"70193539","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","docAbstract":"Substantial declines of anadromous Atlantic Salmon Salmo salar have occurred throughout its range, with many populations at the southern extent of the distribution currently extirpated or endangered. While both one sea winter (1SW) and two sea winter (2SW) spawner numbers for the North American stocks have declined since the 1950s, the decline has been most severe in 2SW spawners. The first months at sea are considered a period of high mortality. However, early ocean mortality alone cannot explain the more pronounced decline of 2SW spawners, suggesting that the second year at sea may be more critical than previously thought. Atlantic Salmon scales collected by anglers and the state agency from 1946 to 2013 from five rivers in eastern Maine were used to estimate smolt age and ocean age of returning adults. Additionally, seasonal growth rates of maiden 2SW spawners were estimated using intercirculi measurements and linear back-calculation methods. Generalized linear mixed models (Gaussian family, log link function) were used to investigate the influence of average sea surface temperature, accumulated thermal units, the Atlantic Multidecadal Oscillation (AMO) and North Atlantic Oscillation indices, smolt age, smolt length, postsmolt growth, and river of origin on growth rate during the oceanic migration of North American Atlantic Salmon. Results suggest that different factors influence salmon growth throughout their oceanic migration, and previous growth can be a strong predictor of future size. Growth was negatively impacted by the phase of the AMO, which has been linked to salmon abundance trends, in early spring following the postsmolt period. This is likely when the 1SW and 2SW stock components separate, and our results suggest that this period may be of interest in future work examining the disproportionate decline in 2SW spawners.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2017.1334723","usgsCitation":"Izzo, L.K., and Zydlewski, J.D., 2017, Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 9, no. 1, p. 357-372, https://doi.org/10.1080/19425120.2017.1334723.","productDescription":"16 p.","startPage":"357","endPage":"372","ipdsId":"IP-077169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2017.1334723","text":"Publisher Index Page"},{"id":348831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 43.45291889355465\n ],\n [\n -40,\n 43.45291889355465\n ],\n [\n -40,\n 70\n ],\n [\n -70,\n 70\n ],\n [\n -70,\n 43.45291889355465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c6","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":719308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193458,"text":"70193458 - 2017 - Landscape capability predicts upland game bird abundance and occurrence","interactions":[],"lastModifiedDate":"2017-11-10T18:36:35","indexId":"70193458","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":"Landscape capability predicts upland game bird abundance and occurrence","docAbstract":"Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (Scolopax minor) and ruffed grouse (Bonasa umbellus). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21265","usgsCitation":"Loman, Z., Blomberg, E.J., DeLuca, W., Harrison, D.J., Loftin, C., and Wood, P.B., 2017, Landscape capability predicts upland game bird abundance and occurrence: Journal of Wildlife Management, v. 81, no. 6, p. 1110-1116, https://doi.org/10.1002/jwmg.21265.","productDescription":"7 p.","startPage":"1110","endPage":"1116","ipdsId":"IP-076384","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348595,"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":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86104","contributors":{"authors":[{"text":"Loman, Zachary G.","contributorId":145932,"corporation":false,"usgs":false,"family":"Loman","given":"Zachary G.","affiliations":[],"preferred":false,"id":721640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":721641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":721642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Daniel J.","contributorId":200256,"corporation":false,"usgs":false,"family":"Harrison","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}