Tsunamis have the potential to cause considerable damage to communities along the U.S. Pacific Northwest coastline. As coastal communities expand over time, the potential societal impact of tsunami inundation changes. To understand how community exposure to tsunami hazards may change in coming decades, we projected future development (i.e. urban, residential, and rural), households, and residents over a 50-year period (2011–2061) along the Washington, Oregon, and northern California coasts. We created a spatially explicit, land use/land cover, state-and-transition simulation model to project future developed land use based on historical development trends. We then compared our development projection results to tsunami-hazard zones associated with a Cascadia subduction zone (CSZ) earthquake. Changes in tsunami-hazard exposure by 2061 were estimated for 50 incorporated cities, 7 tribal reservations, and 17 counties relative to current (2011) estimates. Across the region, 2061 population exposure in tsunami-hazard zones was projected to increase by 3880 households and 6940 residents. The top ten communities with highest population exposure to CSZ-related tsunamis in 2011 are projected to remain the areas with the highest population exposure by 2061. The largest net population increases in tsunami-hazard zones were projected in the unincorporated portions of several counties, including Skagit, Coos, and Humboldt. Land-change simulation modeling of projected future development serves as an exploratory tool aimed at helping local governments understand the hazard-exposure implications of community growth and to include this knowledge in risk-reduction planning.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2017.02.015","usgsCitation":"Sleeter, B.M., Wood, N.J., Soulard, C.E., and Wilson, T., 2017, Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest: International Journal of Disaster Risk Reduction, v. 22, p. 10-22, https://doi.org/10.1016/j.ijdrr.2017.02.015.","productDescription":"13 p.","startPage":"10","endPage":"22","ipdsId":"IP-080885","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469853,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2017.02.015","text":"Publisher Index Page"},{"id":347145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.3759765625,\n 39.639537564366684\n ],\n [\n -119.970703125,\n 39.639537564366684\n ],\n [\n -119.970703125,\n 49.03786794532644\n ],\n [\n -125.3759765625,\n 49.03786794532644\n ],\n [\n -125.3759765625,\n 39.639537564366684\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa8e4b0220bbd988fa0","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191688,"text":"70191688 - 2017 - Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA)","interactions":[],"lastModifiedDate":"2017-10-24T13:44:30","indexId":"70191688","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA)","docAbstract":"Despite the importance of hydrologic regimes to the phenology, demography, and abundance of fishes such as salmonids, there have been surprisingly few syntheses that holistically assess regional, species-specific trends in hydrologic regimes within a framework of climate change. Here, we consider hydrologic regimes within the Greater Yellowstone Area in the Rocky Mountains of western North America to evaluate changes in hydrologic metrics anticipated to affect salmonids, a group of fishes with high regional ecological and socioeconomic value. Our analyses assessed trends across different sites and time periods (1930–, 1950–, and 1970–2015) as means to evaluate spatial and temporal shifts. Consistent patterns emerged from our analyses indicating substantial shifts to (1) earlier peak discharge events; (2) reductions of summer minimum streamflows; (3) declines in the duration of river ice; and (4) decreases in total volume of water. We found accelerated trends in hydrologic change for the 1970–2015 period, with an average peak discharge 7.5 days earlier, 27.5% decline in summer minimum streamflows, and a 15.6% decline in the annual total volume of water (1 October–September 30) across sites. We did observe considerable variability in magnitude of change across sites, suggesting different levels of vulnerability to a changing climate. Our analyses provide an iterative means for assessing climate predictions and an important step in identifying the climate resilience of landscapes.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9472-3","usgsCitation":"Al-Chokhachy, R.K., Sepulveda, A.J., Ray, A.M., Thoma, D.P., and Tercek, M.T., 2017, Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA): Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 425-441, https://doi.org/10.1007/s11160-017-9472-3.","productDescription":"17 p.","startPage":"425","endPage":"441","ipdsId":"IP-079638","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Greater Yellowstone Area","volume":"27","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d94","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":713063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":713064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":713065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":713066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tercek, Michael T.","contributorId":197257,"corporation":false,"usgs":false,"family":"Tercek","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191032,"text":"70191032 - 2017 - Behavioral responses of Pacific lamprey to alarm cues","interactions":[],"lastModifiedDate":"2017-09-25T12:13:54","indexId":"70191032","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral responses of Pacific lamprey to alarm cues","docAbstract":"Pacific lamprey (Entosphenus tridentatus), an anadromous ectoparasite, faces several challenges during adult migration to spawning grounds. Developing methods to address these challenges is critical to the success of ongoing conservation efforts. The challenges are diverse, and include anthropogenic alterations to the ecosystem resulting in loss of habitat, impassable barriers such as dams, climate change impacts, and altered predator fields. We conducted a behavioral study to understand how adult migrating Pacific lamprey respond to potential alarm cues: White Sturgeon (Acipenser transmontanus), human saliva, decayed Pacific lamprey, and river otter (Lontra canadensis). Research has shown that some species of lamprey can be guided to a location using odors and similar cues may be useful as a management tool for Pacific lamprey. Experiments were conducted over 2 nights and measured the number of entries (count) and duration of time spent (occupancy) by adult lamprey in each arm of a two-choice maze. During the first night, no odor was added to test for selection bias between arms. During the second night odor was added to one arm of the maze. Contrary to expectations, lamprey were significantly attracted to the river otter odor in both count and occupancy. No significant differences were found in the response of lamprey to the other three odors. Results from this study indicate that Pacific lamprey do respond to some odors; however, additional tests are necessary to better identify the types of odors and concentrations that elicit a repeatable response.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/042016-JWFM-033","usgsCitation":"Porter, L.L., Hayes, M.C., Jackson, A.D., Burke, B.J., Moser, M.L., and Wagner, R.S., 2017, Behavioral responses of Pacific lamprey to alarm cues: Journal of Fish and Wildlife Management, v. 8, no. 1, p. 101-113, https://doi.org/10.3996/042016-JWFM-033.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-073451","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469798,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3996/042016-jwfm-033","text":"External Repository"},{"id":346053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Walla Walla River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.9649658203125,\n 45.4524242413431\n ],\n [\n -118.0645751953125,\n 45.4524242413431\n ],\n [\n -118.0645751953125,\n 46.57774276255591\n ],\n [\n -120.9649658203125,\n 46.57774276255591\n ],\n [\n -120.9649658203125,\n 45.4524242413431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"59ca15aee4b017cf314041c6","contributors":{"authors":[{"text":"Porter, Laurie L.","contributorId":196654,"corporation":false,"usgs":false,"family":"Porter","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":711024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Aaron D.","contributorId":196655,"corporation":false,"usgs":false,"family":"Jackson","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, R. Steven","contributorId":196657,"corporation":false,"usgs":false,"family":"Wagner","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":711029,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191454,"text":"70191454 - 2017 - Is motivation important to brook trout passage through culverts?","interactions":[],"lastModifiedDate":"2017-10-13T11:12:24","indexId":"70191454","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Is motivation important to brook trout passage through culverts?","docAbstract":"Culverts can restrict movement of stream-dwelling fish. Motivation to enter and ascend these structures is an essential precursor for successful passage. However, motivation is challenging to quantify. Here, we use attempt rate to assess motivation of 447 brook trout (Salvelinus fontinalis) entering three culverts under a range of hydraulic, environmental, and biological conditions. A passive integrated transponder system allowed for the identification of passage attempts and success of individual fish. Attempt rate was quantified using time-to-event analysis allowing for time-varying covariates and recurrent events. Attempt rate was greatest during the spawning period, at elevated discharge, at dusk, and for longer fish. It decreased during the day and with increasing number of conspecifics downstream of the culvert. Results also show a positive correlation between elevated motivation and successful passage. This study enhances understanding of factors influencing brook trout motivation to ascend culverts and shows that attempt rate is a dynamic phenomenon, variable over time and among individuals. It also presents methods that could be used to investigate other species’ motivation to pass natural or anthropogenic barriers.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0237","usgsCitation":"Goerig, E., and Castro-Santos, T.R., 2017, Is motivation important to brook trout passage through culverts?: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 6, p. 885-893, https://doi.org/10.1139/cjfas-2016-0237.","productDescription":"9 p.","startPage":"885","endPage":"893","ipdsId":"IP-076710","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469788,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://espace.inrs.ca/id/eprint/5146/1/P3101.pdf","text":"External Repository"},{"id":346570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Quebec","otherGeospatial":"Sainte-Marguerite River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5,\n 48.6667\n ],\n [\n -70,\n 48.6667\n ],\n [\n -70,\n 48.3333\n ],\n [\n -70.5,\n 48.3333\n ],\n [\n -70.5,\n 48.6667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"74","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d099e4b05fe04cd117b0","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":712337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190739,"text":"70190739 - 2017 - Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","interactions":[],"lastModifiedDate":"2017-09-13T15:42:25","indexId":"70190739","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","docAbstract":"Erodibility of cohesive sediment in the Sacramento-San Joaquin River Delta (Delta) was investigated with an erosion microcosm. Erosion depths in the Delta and in the microcosm were estimated to be about one floc diameter over a range of shear stresses and times comparable to half of a typical tidal cycle. Using the conventional assumption of horizontally homogeneous bed sediment, data from 27 of 34 microcosm experiments indicate that the erosion rate coefficient increased as eroded mass increased, contrary to theory. We believe that small erosion depths, erosion rate coefficient deviation from theory, and visual observation of horizontally varying biota and texture at the sediment surface indicate that erosion cannot solely be a function of depth but must also vary horizontally. We test this hypothesis by developing a simple numerical model that includes horizontal heterogeneity, use it to develop an artificial time series of suspended-sediment concentration (SSC) in an erosion microcosm, then analyze that time series assuming horizontal homogeneity. A shear vane was used to estimate that the horizontal standard deviation of critical shear stress was about 30% of the mean value at a site in the Delta. The numerical model of the erosion microcosm included a normal distribution of initial critical shear stress, a linear increase in critical shear stress with eroded mass, an exponential decrease of erosion rate coefficient with eroded mass, and a stepped increase in applied shear stress. The maximum SSC for each step increased gradually, thus confounding identification of a single well-defined critical shear stress as encountered with the empirical data. Analysis of the artificial SSC time series with the assumption of a homogeneous bed reproduced the original profile of critical shear stress, but the erosion rate coefficient increased with eroded mass, similar to the empirical data. Thus, the numerical experiment confirms the small-depth erosion hypothesis. A linear model of critical shear stress and eroded mass is proposed to simulate small-depth erosion, assuming that the applied and critical shear stresses quickly reach equilibrium.
","language":"English","publisher":"Springer","doi":"10.1007/s10236-017-1047-2","usgsCitation":"Schoellhamer, D., Manning, A.J., and Work, P.A., 2017, Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA: Ocean Dynamics, v. 67, no. 6, p. 799-811, https://doi.org/10.1007/s10236-017-1047-2.","productDescription":"13 p.","startPage":"799","endPage":"811","ipdsId":"IP-053622","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":461533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10236-017-1047-2","text":"Publisher Index Page"},{"id":345708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08007812499999,\n 37.79676317682161\n ],\n [\n -121.27670288085938,\n 37.79676317682161\n ],\n [\n -121.27670288085938,\n 38.36211833953394\n ],\n [\n -122.08007812499999,\n 38.36211833953394\n ],\n [\n -122.08007812499999,\n 37.79676317682161\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59ba43b9e4b091459a5629ba","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew J.","contributorId":175079,"corporation":false,"usgs":false,"family":"Manning","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189556,"text":"70189556 - 2017 - Mangrove species' responses to winter air temperature extremes in China","interactions":[],"lastModifiedDate":"2017-07-17T11:15:43","indexId":"70189556","displayToPublicDate":"2017-06-01T00:00:00","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":"Mangrove species' responses to winter air temperature extremes in China","docAbstract":"The global distribution and diversity of mangrove forests is greatly influenced by the frequency and intensity of winter air temperature extremes. However, our understanding of how different mangrove species respond to winter temperature extremes has been lacking because extreme freezing and chilling events are, by definition, relatively uncommon and also difficult to replicate experimentally. In this study, we investigated species-specific variation in mangrove responses to winter temperature extremes in China. In 10 sites that span a latitudinal gradient, we quantified species-specific damage and recovery following a chilling event, for mangrove species within and outside of their natural range (i.e., native and non-native species, respectively). To characterize plant stress, we measured tree defoliation and chlorophyll fluorescence approximately one month following the chilling event. To quantify recovery, we measured chlorophyll fluorescence approximately nine months after the chilling event. Our results show high variation in the geographic- and species-specific responses of mangroves to winter temperature extremes. While many species were sensitive to the chilling temperatures (e.g., Bruguiera sexangula and species in the Sonneratia and Rhizophora genera), the temperatures during this event were not cold enough to affect certain species (e.g., Kandelia obovata, Aegiceras corniculatum, Avicennia marina, and Bruguiera gymnorrhiza). As expected, non-native species were less tolerant of winter temperature extremes than native species. Interestingly, tidal inundation modulated the effects of chilling. In comparison with other temperature-controlled mangrove range limits across the world, the mangrove range limit in China is unique due to the combination of the following three factors: (1) Mangrove species diversity is comparatively high; (2) winter air temperature extremes, rather than means, are particularly intense and play an important ecological role; and (3) due to afforestation and restoration efforts, several species of non-native mangroves have been introduced beyond their natural range limits. Hence, from a global perspective, mangroves in China provide valuable opportunities to advance understanding of the effects of freezing and chilling temperatures on mangroves. Within the context of climate change, our findings provide a foundation for better understanding and preparing for mangrove species-specific responses to future changes in the duration and intensity of winter temperature extremes.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1865","usgsCitation":"Chen, L., Wang, W., Li, Q.Q., Zhang, Y., Yang, S., Osland, M.J., Huang, J., and Peng, C., 2017, Mangrove species' responses to winter air temperature extremes in China: Ecosphere, v. 8, no. 6, e01865; 14 p., https://doi.org/10.1002/ecs2.1865.","productDescription":"e01865; 14 p.","ipdsId":"IP-080209","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1865","text":"Publisher Index Page"},{"id":343935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"596dcca2e4b0d1f9f062755a","contributors":{"authors":[{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":705160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Wenqing","contributorId":194707,"corporation":false,"usgs":false,"family":"Wang","given":"Wenqing","email":"","affiliations":[],"preferred":false,"id":705161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qingshun Q.","contributorId":194708,"corporation":false,"usgs":false,"family":"Li","given":"Qingshun","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":705162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Yihui","contributorId":194709,"corporation":false,"usgs":false,"family":"Zhang","given":"Yihui","email":"","affiliations":[],"preferred":false,"id":705163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Shengchang","contributorId":194710,"corporation":false,"usgs":false,"family":"Yang","given":"Shengchang","email":"","affiliations":[],"preferred":false,"id":705164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":705159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Jinliang","contributorId":194712,"corporation":false,"usgs":false,"family":"Huang","given":"Jinliang","email":"","affiliations":[],"preferred":false,"id":705166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peng, Congjiao","contributorId":194711,"corporation":false,"usgs":false,"family":"Peng","given":"Congjiao","email":"","affiliations":[],"preferred":false,"id":705165,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194726,"text":"70194726 - 2017 - A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","interactions":[],"lastModifiedDate":"2017-12-14T12:25:54","indexId":"70194726","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2484,"text":"Journal of Toxicology and Environmental Health, Part B: Critical Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans","docAbstract":"The compound BMAA (β-N-methylamino-L-alanine) has been postulated to play a significant role in four serious neurological human diseases: Amyotrophic Lateral Sclerosis/Parkinsonism Dementia Complex (ALS/PDC) found on Guam, and ALS, Parkinsonism, and dementia that occur globally. ALS/PDC with symptoms of all three diseases first came to the attention of the scientific community during and after World War II. It was initially associated with cycad flour used for food because BMAA is a product of symbiotic cycad root-dwelling cyanobacteria. Human consumption of flying foxes that fed on cycad seeds was later suggested as a source of BMAA on Guam and a cause of ALS/PDC. Subsequently, the hypothesis was expanded to include a causative role for BMAA in other neurodegenerative diseases including Alzheimer’s disease (AD) through exposures attributed to proximity to freshwaters and/or consumption of seafood due to its purported production by most species of cyanobacteria. The hypothesis that BMAA is the critical factor in the genesis of these neurodegenerative diseases received considerable attention in the medical, scientific, and public arenas. This review examines the history of ALS/PDC and the BMAA-human disease hypotheses; similarities and differences between ALS/PDC and the other diseases with similar symptomologies; the relationship of ALS/PDC to other similar diseases, studies of BMAA-mediated effects in lab animals, inconsistencies and data gaps in the hypothesis; and other compounds and agents that were suggested as the cause of ALS/PDC on Guam. The review concludes that the hypothesis of a causal BMAA neurodegenerative disease relationship is not supported by existing data.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10937404.2017.1297592","usgsCitation":"Chernoff, N., Hill, D.J., Diggs, D.L., Faison, B.D., Francis, B.M., Lang, J.R., Larue, M.M., Le, T., Loftin, K.A., Lugo, J.N., Schmid, J.E., and Winnik, W.W., 2017, A critical review of the postulated role of the non-essential amino acid, β-N-methylamino-L-alanine, in neurodegenerative disease in humans: Journal of Toxicology and Environmental Health, Part B: Critical Reviews, v. 20, no. 4, p. 183-229, https://doi.org/10.1080/10937404.2017.1297592.","productDescription":"47 p.","startPage":"183","endPage":"229","ipdsId":"IP-085335","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":469809,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6503681","text":"External Repository"},{"id":349986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c2351d","contributors":{"authors":[{"text":"Chernoff, Neil","contributorId":25859,"corporation":false,"usgs":true,"family":"Chernoff","given":"Neil","email":"","affiliations":[],"preferred":false,"id":725024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, D. 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N.","contributorId":201344,"corporation":false,"usgs":false,"family":"Lugo","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":725032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmid, J. E.","contributorId":201345,"corporation":false,"usgs":false,"family":"Schmid","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winnik, W. W.","contributorId":201346,"corporation":false,"usgs":false,"family":"Winnik","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193291,"text":"70193291 - 2017 - Uncertainties in forecasting the response of polar bears to global climate change","interactions":[],"lastModifiedDate":"2021-04-26T15:04:42.409319","indexId":"70193291","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Uncertainties in forecasting the response of polar bears to global climate change","docAbstract":"Several sources of uncertainty affect how precisely the future status of polar bears (Ursus maritimus) can be forecasted. Foremost are unknowns about the future levels of global greenhouse gas emissions, which could range from an unabated increase to an aggressively mitigated reduction. Uncertainties also arise because different climate models project different amounts and rates of future warming (and sea ice loss)—even for the same emission scenario. There are also uncertainties about how global warming could affect the Arctic Ocean’s food web, so even if climate models project the presence of sea ice in the future, the availability of polar bear prey is not guaranteed. Under a worst-case emission scenario in which rates of greenhouse gas emissions continue to rise unabated to century’s end, the uncertainties about polar bear status center on a potential for extinction. If the species were to persist, it would likely be restricted to a high-latitude refugium in northern Canada and Greenland—assuming a food web also existed with enough accessible prey to fuel weight gains for surviving onshore during the most extreme years of summer ice melt. On the other hand, if emissions were to be aggressively mitigated at the levels proposed in the Paris Climate Agreement, healthy polar bear populations would probably continue to occupy all but the most southern areas of their contemporary summer range. While polar bears have survived previous warming phases—which indicate some resiliency to the loss of sea ice habitat—what is certain is that the present pace of warming is unprecedented and will increasingly expose polar bears to historically novel stressors.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine animal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_25","usgsCitation":"Douglas, D.C., and Atwood, T.C., 2017, Uncertainties in forecasting the response of polar bears to global climate change, chap. of Marine animal welfare, p. 463-473, https://doi.org/10.1007/978-3-319-46994-2_25.","productDescription":"11 p.","startPage":"463","endPage":"473","ipdsId":"IP-076001","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c23530","contributors":{"editors":[{"text":"Butterworth, Andy","contributorId":45100,"corporation":false,"usgs":false,"family":"Butterworth","given":"Andy","email":"","affiliations":[],"preferred":false,"id":724155,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188919,"text":"70188919 - 2017 - Western bats as a reservoir of novel Streptomyces species with antifungal activity","interactions":[],"lastModifiedDate":"2017-06-27T15:02:52","indexId":"70188919","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Western bats as a reservoir of novel Streptomyces species with antifungal activity","title":"Western bats as a reservoir of novel Streptomyces species with antifungal activity","docAbstract":"At least two-thirds of commercial antibiotics today are derived from Actinobacteria, more specifically from the genus Streptomyces. Antibiotic resistance and new emerging diseases pose great challenges in the field of microbiology. Cave systems, in which actinobacteria are ubiquitous and abundant, represent new opportunities for the discovery of novel bacterial species and the study of their interactions with emergent pathogens. White-nose syndrome is an invasive bat disease caused by the fungus Pseudogymnoascus destructans, which has killed more than six million bats in the last 7 years. In this study, we isolated naturally occurring actinobacteria from white-nose syndrome (WNS)-free bats from five cave systems and surface locations in the vicinity in New Mexico and Arizona, USA. We sequenced the 16S rRNA region and tested 632 isolates from 12 different bat species using a bilayer plate method to evaluate antifungal activity. Thirty-six actinobacteria inhibited or stopped the growth of P. destructans, with 32 (88.9%) actinobacteria belonging to the genus Streptomyces. Isolates in the genera Rhodococcus, Streptosporangium, Luteipulveratus, and Nocardiopsis also showed inhibition. Twenty-five of the isolates with antifungal activity against P. destructans represent 15 novel Streptomyces spp. based on multilocus sequence analysis. Our results suggest that bats in western North America caves possess novel bacterial microbiota with the potential to inhibit P. destructans.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.03057-16","usgsCitation":"Hamm, P.S., Caimi, N.A., Northup, D.E., Valdez, E.W., Buecher, D.C., Dunlap, C.A., Labeda, D.P., Lueschow, S., and Porras-Alfaro, A., 2017, Western bats as a reservoir of novel Streptomyces species with antifungal activity: Applied and Environmental Microbiology, v. 83, no. 5, p. 1-10, https://doi.org/10.1128/AEM.03057-16.","productDescription":"e03057-16; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-078054","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.03057-16","text":"External Repository"},{"id":343013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea4e4b062508e3c7a65","contributors":{"authors":[{"text":"Hamm, Paris S.","contributorId":193654,"corporation":false,"usgs":false,"family":"Hamm","given":"Paris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":701226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":701228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":701225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":701229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Christopher A.","contributorId":193658,"corporation":false,"usgs":false,"family":"Dunlap","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":701230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labeda, David P.","contributorId":193659,"corporation":false,"usgs":false,"family":"Labeda","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":701231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lueschow, Shiloh","contributorId":193662,"corporation":false,"usgs":false,"family":"Lueschow","given":"Shiloh","email":"","affiliations":[],"preferred":false,"id":701290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":701232,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192741,"text":"70192741 - 2017 - Aquatic ecosystems in a changing climate","interactions":[],"lastModifiedDate":"2017-11-17T11:17:56","indexId":"70192741","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic ecosystems in a changing climate","docAbstract":"Extreme climate events (ECEs) such as tropical storms and hurricanes, thunderstorms, heat waves, droughts, ice storms, and snow storms have increased and are projected to further increase in intensity and frequency across the world. These events are expected to have significant consequences for aquatic ecosystems with the potential for large changes in ecosystem processes, responses, and functions.
","language":"English","publisher":"AGU","doi":"10.1029/2017EO076549","usgsCitation":"Inamdar, S., Shanley, J.B., and McDowell, W.H., 2017, Aquatic ecosystems in a changing climate: Eos, Earth and Space Science News, v. 98, HTML Document, https://doi.org/10.1029/2017EO076549.","productDescription":"HTML Document","ipdsId":"IP-087301","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo076549","text":"Publisher Index Page"},{"id":349060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353f","contributors":{"authors":[{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":716802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192634,"text":"70192634 - 2017 - Reflected stochastic differential equation models for constrained animal movement","interactions":[],"lastModifiedDate":"2018-02-14T14:17:57","indexId":"70192634","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Reflected stochastic differential equation models for constrained animal movement","docAbstract":"Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling animal movement constrained in space by considering a class of constrained stochastic processes, reflected stochastic differential equations. Our approach generalizes existing methods for modeling unconstrained animal movement. We present methods for simulation and inference based on augmenting the constrained movement path with a latent unconstrained path and illustrate this augmentation with a simulation example and an analysis of telemetry data from a Steller sea lion (Eumatopias jubatus) in southeast Alaska.
","language":"English","publisher":"Springer","doi":"10.1101/152017","usgsCitation":"Hanks, E.M., Johnson, D., and Hooten, M., 2017, Reflected stochastic differential equation models for constrained animal movement: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 353-372, https://doi.org/10.1101/152017.","productDescription":"20 p.","startPage":"353","endPage":"372","ipdsId":"IP-083237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/152017","text":"External Repository"},{"id":348557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.6259765625,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 55.75803176823725\n ],\n [\n -132.82470703125,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 58.228596132481435\n ],\n [\n -136.6259765625,\n 55.75803176823725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c8611d","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192757,"text":"70192757 - 2017 - A physical model for extreme drought over southwest Asia","interactions":[],"lastModifiedDate":"2020-08-20T19:28:00.955021","indexId":"70192757","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"A physical model for extreme drought over southwest Asia","docAbstract":"The socioeconomic difficulties of southwest Asia, defined as the area bound by the domain 25°N–40°N and 40°E–70°E, are exacerbated by extreme precipitation deficits during the November–April rainy season. The precipitation deficits during many southwest Asia droughts have been examined in terms of the forcing by climate variability originating over the Pacific Ocean as a result of the El Niño–Southern Oscillation (ENSO), Pacific decadal variability (PDV), and the long-term warming of Pacific (LT) sea surface temperatures (SST). Here we examine how the most extreme November–April southwest Asia droughts relate to global SSTs and the associated large-scale atmospheric circulation anomalies and analyze the specific atmospheric forcing mechanisms responsible for changes in regional southwest Asian precipitation. The driest November–April seasons during 1948–2012 over southwest Asia are forced by subsidence and reductions of moisture fluxes as a result of the interaction of the mean flow with anomalous zonally symmetric high pressure throughout the Northern Hemisphere. The anomalous zonally symmetric high pressure throughout the Northern Hemisphere occurs simultaneously with cool central and eastern Pacific SST anomalies associated with La Niña and the negative phase of PDV and a warm west Pacific Ocean caused in part by the long-term warming of the west Pacific Ocean.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate extremes: Patterns and mechanisms","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781119068020.ch17","isbn":"978-1-119-06784-9","usgsCitation":"Hoell, A., Funk, C., Barlow, M., and Cannon, F., 2017, A physical model for extreme drought over southwest Asia, chap. 17 of Climate extremes: Patterns and mechanisms, p. 283-298, https://doi.org/10.1002/9781119068020.ch17.","productDescription":"16 p.","startPage":"283","endPage":"298","ipdsId":"IP-065852","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Asia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 38.232421875,\n 24.766784522874453\n ],\n [\n 71.279296875,\n 24.766784522874453\n ],\n [\n 71.279296875,\n 40.91351257612758\n ],\n [\n 38.232421875,\n 40.91351257612758\n ],\n [\n 38.232421875,\n 24.766784522874453\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353c","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145805,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":716840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":716839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":716841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Forrest","contributorId":198693,"corporation":false,"usgs":false,"family":"Cannon","given":"Forrest","email":"","affiliations":[],"preferred":false,"id":716842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192752,"text":"70192752 - 2017 - Harvest and group effects on pup survival in a cooperative breeder","interactions":[],"lastModifiedDate":"2017-11-08T12:53:18","indexId":"70192752","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harvest and group effects on pup survival in a cooperative breeder","docAbstract":"Recruitment in cooperative breeders can be negatively affected by changes in group size and composition. The majority of cooperative breeding studies have not evaluated human harvest; therefore, the effects of recurring annual harvest and group characteristics on survival of young are poorly understood. We evaluated how harvest and groups affect pup survival using genetic sampling and pedigrees for grey wolves in North America. We hypothesized that harvest reduces pup survival because of (i) reduced group size, (ii) increased breeder turnover and/or (iii) reduced number of female helpers. Alternatively, harvest may increase pup survival possibly due to increased per capita food availability or it could be compensatory with other forms of mortality. Harvest appeared to be additive because it reduced both pup survival and group size. In addition to harvest, turnover of breeding males and the presence of older, non-breeding males also reduced pup survival. Large groups and breeder stability increased pup survival when there was harvest, however. Inferences about the effect of harvest on recruitment require knowledge of harvest rate of young as well as the indirect effects associated with changes in group size and composition, as we show. The number of young harvested is a poor measure of the effect of harvest on recruitment in cooperative breeders.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2017.0580","usgsCitation":"Ausband, D.E., Mitchell, M.S., Stansbury, C.R., Stenglein, J., and Waits, L.P., 2017, Harvest and group effects on pup survival in a cooperative breeder: Proceedings of the Royal Society B: Biological Sciences, v. 284, no. 1855, Article 20170580, https://doi.org/10.1098/rspb.2017.0580.","productDescription":"Article 20170580","ipdsId":"IP-076152","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.0580","text":"Publisher Index Page"},{"id":348448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1855","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5a0425b7e4b0dc0b45b45360","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":198687,"corporation":false,"usgs":false,"family":"Ausband","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansbury, Carisa R.","contributorId":200150,"corporation":false,"usgs":false,"family":"Stansbury","given":"Carisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stenglein, Jennifer L.","contributorId":63146,"corporation":false,"usgs":true,"family":"Stenglein","given":"Jennifer L.","affiliations":[],"preferred":false,"id":721145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192735,"text":"70192735 - 2017 - A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","interactions":[],"lastModifiedDate":"2017-11-08T13:06:03","indexId":"70192735","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","docAbstract":"Rich fens are common boreal ecosystems with distinct hydrology, biogeochemistry and ecology that influence their carbon (C) balance. We present growing season soil chamber methane emission (FCH4), ecosystem respiration (ER), net ecosystem exchange (NEE) and gross primary production (GPP) fluxes from a 9-years water table manipulation experiment in an Alaskan rich fen. The study included major flood and drought years, where wetting and drying treatments further modified the severity of droughts. Results support previous findings from peatlands that drought causes reduced magnitude of growing season FCH4, GPP and NEE, thus reducing or reversing their C sink function. Experimentally exacerbated droughts further reduced the capacity for the fen to act as a C sink by causing shifts in vegetation and thus reducing magnitude of maximum growing season GPP in subsequent flood years by ~15% compared to control plots. Conversely, water table position had only a weak influence on ER, but dominant contribution to ER switched from autotrophic respiration in wet years to heterotrophic in dry years. Droughts did not cause inter-annual lag effects on ER in this rich fen, as has been observed in several nutrient-poor peatlands. While ER was dependent on soil temperatures at 2 cm depth, FCH4 was linked to soil temperatures at 25 cm. Inter-annual variability of deep soil temperatures was in turn dependent on wetness rather than air temperature, and higher FCH4 in flooded years was thus equally due to increased methane production at depth and decreased methane oxidation near the surface. Short-term fluctuations in wetness caused significant lag effects on FCH4, but droughts caused no inter-annual lag effects on FCH4. Our results show that frequency and severity of droughts and floods can have characteristic effects on the exchange of greenhouse gases, and emphasize the need to project future hydrological regimes in rich fens.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13612","usgsCitation":"Olefeldt, D., Euskirchen, E., Harden, J.W., Kane, E.S., McGuire, A.D., Waldrop, M.P., and Turetsky, M.R., 2017, A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability: Global Change Biology, v. 23, no. 6, p. 2428-2440, https://doi.org/10.1111/gcb.13612.","productDescription":"13 p.","startPage":"2428","endPage":"2440","ipdsId":"IP-075210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b45367","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":721161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":721163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":721165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":721166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192080,"text":"70192080 - 2017 - Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","interactions":[],"lastModifiedDate":"2017-10-19T15:33:13","indexId":"70192080","displayToPublicDate":"2017-06-01T00:00:00","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":"Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection","docAbstract":"Understanding species–habitat relationships for endangered species is critical for their conservation. However, many studies have limited value for conservation because they fail to account for habitat associations at multiple spatial scales, anthropogenic variables, and imperfect detection. We addressed these three limitations by developing models for an endangered wetland bird, Yuma Ridgway's rail (Rallus obsoletus yumanensis), that examined how the spatial scale of environmental variables, inclusion of anthropogenic disturbance variables, and accounting for imperfect detection in validation data influenced model performance. These models identified associations between environmental variables and occupancy. We used bird survey and spatial environmental data at 2473 locations throughout the species' U.S. range to create and validate occupancy models and produce predictive maps of occupancy. We compared habitat-based models at three spatial scales (100, 224, and 500 m radii buffers) with and without anthropogenic disturbance variables using validation data adjusted for imperfect detection and an unadjusted validation dataset that ignored imperfect detection. The inclusion of anthropogenic disturbance variables improved the performance of habitat models at all three spatial scales, and the 224-m-scale model performed best. All models exhibited greater predictive ability when imperfect detection was incorporated into validation data. Yuma Ridgway's rail occupancy was negatively associated with ephemeral and slow-moving riverine features and high-intensity anthropogenic development, and positively associated with emergent vegetation, agriculture, and low-intensity development. Our modeling approach accounts for common limitations in modeling species–habitat relationships and creating predictive maps of occupancy probability and, therefore, provides a useful framework for other species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1837","usgsCitation":"Glisson, W.J., Conway, C.J., Nadeau, C.P., and Borgmann, K.L., 2017, Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection: Ecosphere, v. 8, no. 6, p. 1-20, https://doi.org/10.1002/ecs2.1837.","productDescription":"e01837; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-082202","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1837","text":"Publisher Index Page"},{"id":347000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.52099609375,\n 32.57459172113418\n ],\n [\n -112.43408203124999,\n 32.57459172113418\n ],\n [\n -112.43408203124999,\n 36.86204269508728\n ],\n [\n -116.52099609375,\n 36.86204269508728\n ],\n [\n -116.52099609375,\n 32.57459172113418\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c8b","contributors":{"authors":[{"text":"Glisson, Wesley J.","contributorId":171646,"corporation":false,"usgs":false,"family":"Glisson","given":"Wesley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borgmann, Kathi L.","contributorId":171647,"corporation":false,"usgs":false,"family":"Borgmann","given":"Kathi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192192,"text":"70192192 - 2017 - Reexamining ultrafiltration and solute transport in groundwater","interactions":[],"lastModifiedDate":"2017-10-23T13:33:16","indexId":"70192192","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Reexamining ultrafiltration and solute transport in groundwater","docAbstract":"Geologic ultrafiltration—slowing of solutes with respect to flowing groundwater—poses a conundrum: it is consistently observed experimentally in clay-rich lithologies, but has been difficult to identify in subsurface data. Resolving this could be important for clarifying clay and shale transport properties at large scales as well as interpreting solute and isotope patterns for applications ranging from nuclear waste repository siting to understanding fluid transport in tectonically active environments. Simulations of one-dimensional NaCl transport across ultrafiltering clay membrane strata constrained by emerging data on geologic membrane properties showed different ultrafiltration effects than have often been envisioned. In relatively high-permeability advection-dominated regimes, salinity increases occurred mostly within membrane units while their effluent salinity initially fell and then rose to match solute delivery. In relatively low-permeability diffusion-dominated regimes, salinity peaked at the membrane upstream boundary and effluent salinity remained low. In both scenarios, however, only modest salinity changes (up to ∼3 g L−1) occurred because of self-limiting tendencies; membrane efficiency declines as salinity rises, and although sediment compaction increases efficiency, it is also decreases permeability and allows diffusive transport to dominate. It appears difficult for ultrafiltration to generate brines as speculated, but widespread and less extreme ultrafiltration effects in the subsurface could be unrecognized. Conditions needed for ultrafiltration are present in settings that include topographically-driven flow systems, confined aquifer systems subjected to injection or withdrawal, compacting basins, and accretionary complexes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020492","usgsCitation":"Neuzil, C.E., and Person, M., 2017, Reexamining ultrafiltration and solute transport in groundwater: Water Resources Research, v. 53, no. 6, p. 4922-4941, https://doi.org/10.1002/2017WR020492.","productDescription":"20 p.","startPage":"4922","endPage":"4941","ipdsId":"IP-086146","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-16","publicationStatus":"PW","scienceBaseUri":"59eeffa7e4b0220bbd988f9a","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Person, Mark","contributorId":197964,"corporation":false,"usgs":false,"family":"Person","given":"Mark","email":"","affiliations":[],"preferred":false,"id":714672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188835,"text":"70188835 - 2017 - Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","interactions":[],"lastModifiedDate":"2017-06-26T12:53:22","indexId":"70188835","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited","docAbstract":"The growth and decay of ocean-island volcanoes are intrinsically linked to vertical movements. While the causes for subsidence are better understood, uplift mechanisms remain enigmatic. Santa Maria Island in the Azores Archipelago is an ocean-island volcano resting on top of young lithosphere, barely 480 km away from the Mid-Atlantic Ridge. Like most other Azorean islands, Santa Maria should be experiencing subsidence. Yet, several features indicate an uplift trend instead. In this paper, we reconstruct the evolutionary history of Santa Maria with respect to the timing and magnitude of its vertical movements, using detailed field work and 40Ar/39Ar geochronology. Our investigations revealed a complex evolutionary history spanning ∼6 m.y., with subsidence up to ca. 3.5 Ma followed by uplift extending to the present day. The fact that an island located in young lithosphere experienced a pronounced uplift trend is remarkable and raises important questions concerning possible uplift mechanisms. Localized uplift in response to the tectonic regime affecting the southeastern tip of the Azores Plateau is unlikely, since the area is under transtension. Our analysis shows that the only viable mechanism able to explain the uplift is crustal thickening by basal intrusions, suggesting that intrusive processes play a significant role even on islands standing on young lithosphere, such as in the Azores.
","language":"English","publisher":"The Geological Society of America","doi":"10.1130/B31538.1","usgsCitation":"Ramalho, R., Helffrich, G., Madeira, J., Cosca, M.A., Thomas, C., Quartau, R., Hipolito, A., Rovere, A., Hearty, P., and Avila, S., 2017, Emergence and evolution of Santa Maria Island (Azores)—The conundrum of uplifted islands revisited: Geological Society of America Bulletin, v. 129, no. 3-4, p. 372-390, https://doi.org/10.1130/B31538.1.","productDescription":"19 p. ","startPage":"372","endPage":"390","ipdsId":"IP-078362","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469782,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1983/28e00a4d-8f0a-4130-a5e4-55a2d9e7193b","text":"External Repository"},{"id":342884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Santa Maria Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -25.45,\n 36.8\n ],\n [\n -24.85,\n 36.8\n ],\n [\n -24.85,\n 37.17\n ],\n [\n -25.45,\n 37.17\n ],\n [\n -25.45,\n 36.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3660","contributors":{"authors":[{"text":"Ramalho, Ricardo","contributorId":193475,"corporation":false,"usgs":false,"family":"Ramalho","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":700558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helffrich, George","contributorId":193476,"corporation":false,"usgs":false,"family":"Helffrich","given":"George","email":"","affiliations":[],"preferred":false,"id":700559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madeira, Jose","contributorId":193477,"corporation":false,"usgs":false,"family":"Madeira","given":"Jose","email":"","affiliations":[],"preferred":false,"id":700560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Christine","contributorId":193478,"corporation":false,"usgs":false,"family":"Thomas","given":"Christine","affiliations":[],"preferred":false,"id":700561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quartau, Rui","contributorId":193479,"corporation":false,"usgs":false,"family":"Quartau","given":"Rui","email":"","affiliations":[],"preferred":false,"id":700562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipolito, Ana","contributorId":193480,"corporation":false,"usgs":false,"family":"Hipolito","given":"Ana","email":"","affiliations":[],"preferred":false,"id":700563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rovere, Alessio","contributorId":193481,"corporation":false,"usgs":false,"family":"Rovere","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":700564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hearty, Paul","contributorId":193482,"corporation":false,"usgs":false,"family":"Hearty","given":"Paul","email":"","affiliations":[],"preferred":false,"id":700565,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Avila, Sergio","contributorId":193483,"corporation":false,"usgs":false,"family":"Avila","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":700566,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70193122,"text":"70193122 - 2017 - Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","interactions":[],"lastModifiedDate":"2017-11-01T16:48:55","indexId":"70193122","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears","docAbstract":"We evaluated total mercury (THg) concentrations and trends in polar bears from the southern Beaufort Sea subpopulation from 2004 to 2011. Hair THg concentrations ranged widely among individuals from 0.6 to 13.3 μg g–1 dry weight (mean: 3.5 ± 0.2 μg g–1). Concentrations differed among sex and age classes: solitary adult females ≈ adult females with cubs ≈ subadults > adult males ≈ yearlings > cubs-of-the-year ≈ 2 year old dependent cubs. No variation was observed between spring and fall samples. For spring-sampled adults, THg concentrations declined by 13% per year, contrasting recent trends observed for other Western Hemispheric Arctic biota. Concentrations also declined by 15% per year considering adult males only, while a slower, nonsignificant decrease of 4.4% per year was found for adult females. Lower THg concentrations were associated with higher body mass index (BMI) and higher proportions of lower trophic position food resources consumed. Because BMI and diet were related, and the relationship to THg was strongest for BMI, trends were re-evaluated adjusting for BMI as the covariate. The adjusted annual decline was not significant. These findings indicate that changes in foraging ecology, not declining environmental concentrations of mercury, are driving short-term declines in THg concentrations in southern Beaufort Sea polar bears.
","language":"English","publisher":"ACS Publishing","doi":"10.1021/acs.est.7b00812","usgsCitation":"McKinney, M.A., Atwood, T.C., Pedro, S., and Peacock, E.L., 2017, Ecological change drives a decline in mercury concentrations in southern Beaufort Sea polar bears: Environmental Science & Technology, v. 51, no. 14, p. 7814-7822, https://doi.org/10.1021/acs.est.7b00812.","productDescription":"9 p.","startPage":"7814","endPage":"7822","ipdsId":"IP-084265","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469786,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.7b00812","text":"Publisher Index Page"},{"id":438309,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71H2","text":"USGS data release","linkHelpText":"Polar Bear Hair Mercury Concentrations Southern Beaufort Sea 2004-2011"},{"id":348057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","volume":"51","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c97","contributors":{"authors":[{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":718056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedro, Sara","contributorId":199068,"corporation":false,"usgs":false,"family":"Pedro","given":"Sara","email":"","affiliations":[],"preferred":false,"id":718057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":718058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191697,"text":"70191697 - 2017 - Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","interactions":[],"lastModifiedDate":"2017-10-17T17:00:22","indexId":"70191697","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","title":"Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse","docAbstract":"The 3 September 2016 Mw 5.8 Pawnee earthquake in northern Oklahoma is the largest earthquake ever recorded in Oklahoma. The coseismic deformation was measured with both Interferometric Synthetic Aperture Radar and Global Positioning System (GPS), with measureable signals of order 1 cm and 1 mm, respectively. We derive a coseismic slip model from Sentinel‐1A and Radarsat 2 interferograms and GPS static offsets, dominated by distributed left‐lateral strike slip on a primary west‐northwest–east‐southeast‐trending subvertical plane, whereas strike slip is concentrated near the hypocenter (5.6 km depth), with maximum slip of ∼1 m located slightly east and down‐dip of the hypocenter. Based on systematic misfits of observed interferogram line‐of‐sight (LoS) displacements, with LoS based on shear‐dislocation models, a few decimeters of fault‐zone collapse are inferred in the hypocentral region where coseismic slip was the largest. This may represent the postseismic migration of large volumes of fluid away from the high‐slip areas, made possible by the creation of a temporary high‐permeability damage zone around the fault.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170002","usgsCitation":"Pollitz, F., Wicks, C., Schoenball, M., Ellsworth, W.L., and Murray, M., 2017, Geodetic slip model of the 3 September 2016 Mw 5.8 Pawnee, Oklahoma, earthquake: Evidence for fault‐zone collapse: Seismological Research Letters, v. 88, no. 4, p. 983-993, https://doi.org/10.1785/0220170002.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-082300","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Pawnee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5,\n 35.75\n ],\n [\n -95.5,\n 35.75\n ],\n [\n -95.5,\n 37\n ],\n [\n -97.5,\n 37\n ],\n [\n -97.5,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a3","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":713104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Mark","contributorId":197272,"corporation":false,"usgs":false,"family":"Murray","given":"Mark","affiliations":[],"preferred":false,"id":713107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188990,"text":"70188990 - 2017 - Can wolves help save Japan's mountain forests?","interactions":[],"lastModifiedDate":"2017-06-28T14:50:34","indexId":"70188990","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2093,"text":"International Wolf","active":true,"publicationSubtype":{"id":10}},"title":"Can wolves help save Japan's mountain forests?","docAbstract":"Japan’s wolves were extinct by 1905. Today Japan's mountain forests are being killed by overabundant sika deer and wild boars. Since the early 1990s, the Japan Wolf Association has proposed wolf reintroduction to Japan to restore rural ecology and to return a culturally important animal. In this article I discuss whether the return of wolves could help save Japan's mountain forests.","language":"English","publisher":"International Wolf Center","usgsCitation":"Barber-Meyer, S., 2017, Can wolves help save Japan's mountain forests?: International Wolf, v. Summer 2017, p. 30-31.","productDescription":"2 p.","startPage":"30","endPage":"31","ipdsId":"IP-081236","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":343085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343078,"type":{"id":15,"text":"Index Page"},"url":"https://www.wolf.org/wolf-info/wolf-magazine/"}],"volume":"Summer 2017","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1d2e4b0d1f9f05b37b4","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":702293,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70194492,"text":"70194492 - 2017 - Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices","interactions":[],"lastModifiedDate":"2017-11-30T11:34:28","indexId":"70194492","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices","docAbstract":"The Midcontinent Rift System (MRS) is a Late Mesoproterozoic (∼1.1 Ga) sequence of volcanic and sedimentary rocks exposed in the Lake Superior Region of North America. The MRS continues to be the focus of much research due to its economic mineral deposits as well as its archive of Precambrian life and tectonic processes. In order to constrain the post-depositional thermal history of the MRS, samples were analyzed for carbonate clumped isotope composition and organic thermal maturity. Clumped isotope values from sedimentary/early-diagenetic samples were partially reset during burial to temperatures between 68 and 75 °C. Solid-state reordering models indicate that maximum burial temperatures of 125–155 °C would reset the clumped isotope values to the observed temperature range prior to the onset of regional cooling and uplift. Clumped isotope results from late-stage veins in the White Pine Mine encompass a greater temperature range (49–116 °C), indicative of spatially variable hydrothermal activity and vein emplacement after burial temperatures fell below 100 °C during regional cooling and uplift. Clumped isotope and organic thermal maturity data do not indicate significant spatial differences in thermal history along the MRS. Observed variability in bulk organic matter composition and biomarker indices are therefore more likely a result of shifts in primary productivity or early-degradation processes. These results demonstrate that the MRS experienced a spatially consistent, relatively mild thermal history (125–155 °C) and is therefore a valuable archive for understanding the Late Mesoproterozoic environment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2017.03.022","usgsCitation":"Gallagher, T.M., Sheldon, N.D., Mauk, J.L., Petersen, S.V., Gueneli, N., and Brocks, J.J., 2017, Constraining the thermal history of the North American Midcontinent Rift System using carbonate clumped isotopes and organic thermal maturity indices: Precambrian Research, v. 294, p. 53-66, https://doi.org/10.1016/j.precamres.2017.03.022.","productDescription":"14 p.","startPage":"53","endPage":"66","ipdsId":"IP-080782","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2017.03.022","text":"Publisher Index Page"},{"id":349586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.4224853515625,\n 46.33175800051563\n ],\n [\n -87.462158203125,\n 46.33175800051563\n ],\n [\n -87.462158203125,\n 48.23565029755308\n ],\n [\n -92.4224853515625,\n 48.23565029755308\n ],\n [\n -92.4224853515625,\n 46.33175800051563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"294","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbce4b06e28e9c23520","contributors":{"authors":[{"text":"Gallagher, Timothy M.","contributorId":201012,"corporation":false,"usgs":false,"family":"Gallagher","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheldon, Nathan D.","contributorId":201013,"corporation":false,"usgs":false,"family":"Sheldon","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Sierra V.","contributorId":201014,"corporation":false,"usgs":false,"family":"Petersen","given":"Sierra","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":724103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gueneli, Nur","contributorId":201015,"corporation":false,"usgs":false,"family":"Gueneli","given":"Nur","email":"","affiliations":[],"preferred":false,"id":724104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brocks, Jochen J.","contributorId":201016,"corporation":false,"usgs":false,"family":"Brocks","given":"Jochen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724105,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188103,"text":"70188103 - 2017 - Book review: Reptiles and amphibians: Self-assessment color review","interactions":[],"lastModifiedDate":"2018-01-10T19:02:39","indexId":"70188103","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Reptiles and amphibians: Self-assessment color review","docAbstract":"No abstract available.
Book information: Reptiles and Amphibians: Self-Assessment Color Review. 2nd Edition. By Fredric L. Frye. CRC Press, Taylor and Francis Group, Boca Raton, Florida USA. 2015. 252 pp. ISBN 9781482257601.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-53.3.706","usgsCitation":"Green, D.E., 2017, Book review: Reptiles and amphibians: Self-assessment color review: Journal of Wildlife Diseases, v. 53, no. 3, p. 706-707, https://doi.org/10.7589/0090-3558-53.3.706.","productDescription":"2 p.","startPage":"706","endPage":"707","ipdsId":"IP-077349","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":341931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd633e4b0e9bd0ea896a3","contributors":{"authors":[{"text":"Green, David E. 0000-0002-7663-1832 degreen@usgs.gov","orcid":"https://orcid.org/0000-0002-7663-1832","contributorId":3715,"corporation":false,"usgs":true,"family":"Green","given":"David","email":"degreen@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188108,"text":"70188108 - 2017 - Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","interactions":[],"lastModifiedDate":"2017-06-14T11:58:12","indexId":"70188108","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","title":"Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","docAbstract":"Managers making decisions may benefit from a well-informed understanding of a species' population size and trends. Given the cryptic nature and habitat characteristics of the western pond turtle (Emys marmorata), however, imperfect detection may be high and population estimates are frequently varied and unreliable. As a case study to investigate this issue, we used temperature dataloggers to examine turtle behavior at 2 long-term monitoring sites with different hydrological characteristics in Sequoia National Park, California, to determine if common stream-survey techniques are consistent with site-specific turtle behavior. Sycamore Creek is an intermittent stream that dries up every summer while the North Fork Kaweah River flows year-round. We found that while turtles spent most of the recorded time in the water (55% in Sycamore Creek and 82% in the North Fork Kaweah River), the timing of traditional surveys only coincided with the turtles' aquatic activity in the North Fork Kaweah River. At Sycamore Creek, turtles were most likely to be in the water at night. In contrast, failure to detect turtles in North Fork Kaweah River is likely owing to the larger size and complexity of the underwater habitat. In both streams, turtles were also more likely to be in the water in the weeks leading up to important changes in hydroperiods. Our findings illustrate the effects that differences in water permanence can have on turtle behavior within the same watershed and how phenotypic plasticity may then affect detection during surveys. Our study highlights the importance of tailoring survey practices to the site-specific behavioral traits of the target species.
","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1240.1","usgsCitation":"Ruso, G., Meyer, E., and Das, A., 2017, Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California: Chelonian Conservation and Biology, v. 16, no. 1, p. 20-28, https://doi.org/10.2744/CCB-1240.1.","productDescription":"9 p.","startPage":"20","endPage":"28","ipdsId":"IP-082015","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":495027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1240.1","text":"Publisher Index Page"},{"id":341947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.69010925292969,\n 36.41078375301565\n ],\n [\n -118.4271240234375,\n 36.41078375301565\n ],\n [\n -118.4271240234375,\n 36.563151553545985\n ],\n [\n -118.69010925292969,\n 36.563151553545985\n ],\n [\n -118.69010925292969,\n 36.41078375301565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd633e4b0e9bd0ea896a1","contributors":{"authors":[{"text":"Ruso, Gabrielle gruso@usgs.gov","contributorId":192549,"corporation":false,"usgs":true,"family":"Ruso","given":"Gabrielle","email":"gruso@usgs.gov","affiliations":[],"preferred":true,"id":696773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Erik","contributorId":192550,"corporation":false,"usgs":false,"family":"Meyer","given":"Erik","email":"","affiliations":[],"preferred":false,"id":696774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696772,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188114,"text":"70188114 - 2017 - Predation of freshwater fish in environments with elevated carbon dioxide","interactions":[],"lastModifiedDate":"2017-09-05T12:44:50","indexId":"70188114","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Predation of freshwater fish in environments with elevated carbon dioxide","docAbstract":"Carbon dioxide (CO2) in fresh-water environments is poorly understood, yet in marine environments CO2 can affect fish behaviour, including predator–prey relationships. To examine changes in predator success in elevated CO2, we experimented with predatory Micropterus salmoides and Pimephales promelas prey. We used a two-factor fully crossed experimental design; one factor was 4-day (acclimation) CO2 concentration and the second factor CO2 concentration during 20-min predation experiments. Both factors had three treatment levels, including ambient partial pressure of CO2(pCO2; 0–1000 μatm), low pCO2 (4000–5000 μatm) and high pCO2 (8000–10 000 μatm). Micropterus salmoides was exposed to both factors, whereas P. promelas was not exposed to the acclimation factor. In total, 83 of the 96 P. promelas were consumed (n = 96 trials) and we saw no discernible effect of CO2 on predator success or time to predation. Failed strikes and time between failed strikes were too infrequent to model. Compared with marine systems, our findings are unique in that we not only saw no changes in prey capture success with increasing CO2, but we also used CO2 treatments that were substantially higher than those in past experiments. Our work demonstrated a pronounced resiliency of freshwater predators to elevated CO2 exposure, and a starting point for future work in this area.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF16156","usgsCitation":"Midway, S.R., Hasler, C.T., Wagner, T., and Suski, C., 2017, Predation of freshwater fish in environments with elevated carbon dioxide: Marine and Freshwater Research, v. 68, p. 1585-1592, https://doi.org/10.1071/MF16156.","productDescription":"8 p.","startPage":"1585","endPage":"1592","ipdsId":"IP-074164","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":341953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd632e4b0e9bd0ea89698","contributors":{"authors":[{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":696806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasler, Caleb T.","contributorId":190150,"corporation":false,"usgs":false,"family":"Hasler","given":"Caleb","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":696807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":696803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":696808,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188111,"text":"70188111 - 2017 - Addressing wild turkey population declines using structured decision making","interactions":[],"lastModifiedDate":"2017-05-31T13:54:00","indexId":"70188111","displayToPublicDate":"2017-05-31T00:00:00","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":"Addressing wild turkey population declines using structured decision making","docAbstract":"We present a case study from New York, USA, of the use of structured decision making (SDM) to identify fall turkey harvest regulations that best meet stakeholder objectives, in light of recent apparent declines in abundance of wild turkeys in the northeastern United States. We used the SDM framework to incorporate the multiple objectives associated with turkey hunting, stakeholder desires, and region-specific ecological and environmental factors that could influence fall harvest. We identified a set of 4 fall harvest regulations, composed of different season lengths and bag limits, and evaluated their relative achievement of the objectives. We used a stochastic turkey population model, statistical modeling, and expert elicitation to evaluate the consequences of each harvest regulation on each of the objectives. We conducted a statewide mail survey of fall turkey hunters in New York to gather the necessary information to evaluate tradeoffs among multiple objectives associated with hunter satisfaction. The optimal fall harvest regulation was a 2-week season and allowed for the harvest of 1 bird/hunter. This regulation was the most conservative of those evaluated, reflecting the concerns about recent declines in turkey abundance among agency wildlife biologists and the hunting public. Depending on the region of the state, the 2-week, 1-bird regulation was predicted to result in 7–32% more turkeys on the landscape after 5 years. The SDM process provided a transparent framework for setting fall turkey harvest regulations and reduced potential stakeholder conflict by explicitly taking the multiple objectives of different stakeholder groups into account.
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