No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Kiang, J.E., Mason,, R., and Cohn, T., 2016, A survey of uncertainty in stage-discharge rating curves and streamflow records in the United States, in River Flow 2016, p. 724-728.","productDescription":"5 p.","startPage":"724","endPage":"728","ipdsId":"IP-074015","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":339658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384681,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/river-flow-2016-george-constantinescu-marcelo-garcia-dan-hanes/10.1201/9781315644479"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa852","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":652531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":652532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":652533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186283,"text":"70186283 - 2016 - When winners become losers: Predicted nonlinear responses of arctic birds to increasing woody vegetation","interactions":[],"lastModifiedDate":"2018-08-16T21:47:19","indexId":"70186283","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"When winners become losers: Predicted nonlinear responses of arctic birds to increasing woody vegetation","docAbstract":"Climate change is facilitating rapid changes in the composition and distribution of vegetation at northern latitudes, raising questions about the responses of wildlife that rely on arctic ecosystems. One widely observed change occurring in arctic tundra ecosystems is an increasing dominance of deciduous shrub vegetation. Our goals were to examine the tolerance of arctic-nesting bird species to existing gradients of vegetation along the boreal forest-tundra ecotone, to predict the abundance of species across different heights and densities of shrubs, and to identify species that will be most or least responsive to ongoing expansion of shrubs in tundra ecosystems. We conducted 1,208 point counts on 12 study blocks from 2012–2014 in northwestern Alaska, using repeated surveys to account for imperfect detection of birds. We considered the importance of shrub height, density of low and tall shrubs (i.e. shrubs >0.5 m tall), percent of ground cover attributed to shrubs (including dwarf shrubs <0.5 m tall), and percent of herbaceous plant cover in predicting bird abundance. Among 17 species considered, only gray-cheeked thrush (Catharus minimus) abundance was associated with the highest values of all shrub metrics in its top predictive model. All other species either declined in abundance in response to one or more shrub metrics or reached a threshold where further increases in shrubs did not contribute to greater abundance. In many instances the relationship between avian abundance and shrubs was nonlinear, with predicted abundance peaking at moderate values of the covariate, then declining at high values. In particular, a large number of species were responsive to increasing values of average shrub height with six species having highest abundance at near-zero values of shrub height and abundance of four other species decreasing once heights reached moderate values (≤ 33 cm). Our findings suggest that increases in shrub cover and density will negatively affect abundance of only a few bird species and may potentially be beneficial for many others. As shrub height increases further, however, a considerable number of tundra bird species will likely find habitat increasingly unsuitable.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0164755","usgsCitation":"Thompson, S.J., Handel, C.M., Richardson, R.M., and McNew, L.B., 2016, When winners become losers: Predicted nonlinear responses of arctic birds to increasing woody vegetation: PLoS ONE, v. 11, no. 11, p. 1-17, https://doi.org/10.1371/journal.pone.0164755.","productDescription":"e0164755; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-075257","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470519,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0164755","text":"Publisher Index Page"},{"id":438515,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CN722Z","text":"USGS data release","linkHelpText":"Avian Point Count, Habitat, and Covariate Data for Subarctic Bird Abundance, Seward Peninsula, Alaska, 2012-2014"},{"id":339308,"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 -168.22265625,\n 64.33039136366138\n ],\n [\n -161.60888671875,\n 64.33039136366138\n ],\n [\n -161.60888671875,\n 66.63119845535732\n ],\n [\n -168.22265625,\n 66.63119845535732\n ],\n [\n -168.22265625,\n 64.33039136366138\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"11","tableOfContents":"Climate change is facilitating rapid changes in the composition and distribution of vegetation at northern latitudes, raising questions about the responses of wildlife that rely on arctic ecosystems. One widely observed change occurring in arctic tundra ecosystems is an increasing dominance of deciduous shrub vegetation. Our goals were to examine the tolerance of arctic-nesting bird species to existing gradients of vegetation along the boreal forest-tundra ecotone, to predict the abundance of species across different heights and densities of shrubs, and to identify species that will be most or least responsive to ongoing expansion of shrubs in tundra ecosystems. We conducted 1,208 point counts on 12 study blocks from 2012–2014 in northwestern Alaska, using repeated surveys to account for imperfect detection of birds. We considered the importance of shrub height, density of low and tall shrubs (i.e. shrubs >0.5 m tall), percent of ground cover attributed to shrubs (including dwarf shrubs <0.5 m tall), and percent of herbaceous plant cover in predicting bird abundance. Among 17 species considered, only gray-cheeked thrush (Catharus minimus) abundance was associated with the highest values of all shrub metrics in its top predictive model. All other species either declined in abundance in response to one or more shrub metrics or reached a threshold where further increases in shrubs did not contribute to greater abundance. In many instances the relationship between avian abundance and shrubs was nonlinear, with predicted abundance peaking at moderate values of the covariate, then declining at high values. In particular, a large number of species were responsive to increasing values of average shrub height with six species having highest abundance at near-zero values of shrub height and abundance of four other species decreasing once heights reached moderate values (≤ 33 cm). Our findings suggest that increases in shrub cover and density will negatively affect abundance of only a few bird species and may potentially be beneficial for many others. As shrub height increases further, however, a considerable number of tundra bird species will likely find habitat increasingly unsuitable.
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"58e753ede4b09da6799c0c4f","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":688154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, Rachel M. 0000-0001-8501-250X rrichardson@usgs.gov","orcid":"https://orcid.org/0000-0001-8501-250X","contributorId":205918,"corporation":false,"usgs":true,"family":"Richardson","given":"Rachel","email":"rrichardson@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":688157,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194308,"text":"70194308 - 2016 - Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","interactions":[],"lastModifiedDate":"2017-11-22T11:48:40","indexId":"70194308","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","docAbstract":"Climate changes are expected to increase fire frequency, fire season length, and cumulative area burned in the western United States. We focus on the potential impact of mid-21st-century climate changes on annual burn probability, fire season length, and large fire characteristics including number and size for a study area in the Northern Rocky Mountains. Although large fires are rare they account for most of the area burned in western North America, burn under extreme weather conditions, and exhibit behaviors that preclude methods of direct control. Allocation of resources, development of management plans, and assessment of fire effects on ecosystems all require an understanding of when and where fires are likely to burn, particularly under altered climate regimes that may increase large fire occurrence. We used the large fire simulation model FSim to model ignition, growth, and containment of wildfires under two climate scenarios: contemporary (based on instrumental weather) and mid-century (based on an ensemble average of global climate models driven by the A1B SRES emissions scenario). Modeled changes in fire patterns include increased annual burn probability, particularly in areas of the study region with relatively short contemporary fire return intervals; increased individual fire size and annual area burned; and fewer years without large fires. High fire danger days, represented by threshold values of Energy Release Component (ERC), are projected to increase in number, especially in spring and fall, lengthening the climatic fire season. For fire managers, ERC is an indicator of fire intensity potential and fire economics, with higher ERC thresholds often associated with larger, more expensive fires. Longer periods of elevated ERC may significantly increase the cost and complexity of fire management activities, requiring new strategies to maintain desired ecological conditions and limit fire risk. Increased fire activity (within the historical range of frequency and severity, and depending on the extent to which ecosystems are adapted) may maintain or restore ecosystem functionality; however, in areas that are highly departed from historical fire regimes or where there is disequilibrium between climate and vegetation, ecosystems may be rapidly and persistently altered by wildfires, especially those that burn under extreme conditions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1543","usgsCitation":"Riley, K.L., and Loehman, R.A., 2016, Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States: Ecosphere, v. 7, no. 11, e01543; 19 p., https://doi.org/10.1002/ecs2.1543.","productDescription":"e01543; 19 p.","ipdsId":"IP-076686","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":470467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1543","text":"Publisher Index Page"},{"id":349271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho Panhandle National Forest, Nez Perce-Clearwater National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.04833984375001,\n 45.058001435398275\n ],\n [\n -113.66455078125,\n 45.058001435398275\n ],\n [\n -113.66455078125,\n 48.980216985374994\n ],\n [\n -117.04833984375001,\n 48.980216985374994\n ],\n [\n -117.04833984375001,\n 45.058001435398275\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c24048","contributors":{"authors":[{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":723212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":723211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185027,"text":"70185027 - 2016 - Annual elk calf survival in a multiple carnivore system","interactions":[],"lastModifiedDate":"2017-03-14T13:33:17","indexId":"70185027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Annual elk calf survival in a multiple carnivore system","docAbstract":"The realized effect of multiple carnivores on juvenile ungulate recruitment may depend on the carnivore assemblage as well as compensation from forage and winter weather severity, which may mediate juvenile vulnerability to predation in ungulates. We used a time-to-event approach to test for the effects of risk factors on annual elk (Cervus canadensis) calf survival and to estimate cause-specific mortality rates for 2 elk populations in adjacent study areas in the southern Bitterroot Valley, Montana, USA, during 2011–2014. We captured and radio-tagged 286 elk calves: 226 neonates, and 60 6-month-old calves. Summer survival probability was less variable than winter (P = 0.12) and averaged 0.55 (95% CI = 0.47–0.63), whereas winter survival varied more than summer and significantly across study years (P = 0.003) and averaged 0.73 (95% CI = 0.64–0.81). During summer, elk calf survival increased with biomass of preferred forage biomass, and was slightly lower following winters with high precipitation; exposure to mountain lion (Puma concolor) predation risk was unimportant. In contrast, during winter, we found that exposure to mountain lion predation risk influenced survival, with a weak negative effect of winter precipitation. We found no evidence that forage availability or winter weather severity mediated vulnerability to mountain lion predation risk in summer or winter (e.g., an interaction), indicating that the effect of mountain lion predation was constant regardless of spatial variation in forage or weather. Mountain lions dominated known causes of elk calf mortality in summer and winter, with estimated cause-specific mortality rates of 0.14 (95% CI = 0.09–0.20) and 0.12 (95% CI = 0.07–0.18), respectively. The effect of carnivores on juvenile ungulate recruitment varies across ecological systems depending on relative carnivore densities. Mountain lions may be the most important carnivore for ungulates, especially where grizzly bears (Ursus arctos) and wolves (Canis lupus) are rare or recovering. Finally, managers may need to reduce adult female harvest of elk as carnivores recolonize to balance carnivore and ungulate management objectives, especially in less productive habitats for elk.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21133","usgsCitation":"Eacker, D.R., Hebblewhite, M., Proffitt, K.M., Jimenez, B.S., Mitchell, M.S., and Robinson, H.S., 2016, Annual elk calf survival in a multiple carnivore system: Journal of Wildlife Management, v. 80, no. 8, p. 1345-1359, https://doi.org/10.1002/jwmg.21133.","productDescription":"15 p.","startPage":"1345","endPage":"1359","ipdsId":"IP-069785","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abccd","contributors":{"authors":[{"text":"Eacker, Daniel R.","contributorId":189250,"corporation":false,"usgs":false,"family":"Eacker","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":684230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, Kelly M.","contributorId":106783,"corporation":false,"usgs":true,"family":"Proffitt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jimenez, Benjamin S.","contributorId":189251,"corporation":false,"usgs":false,"family":"Jimenez","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":684005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187330,"text":"70187330 - 2016 - Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA","interactions":[],"lastModifiedDate":"2017-04-28T15:50:03","indexId":"70187330","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA","docAbstract":"The Wallula fault zone is an integral feature of the Olympic-Wallowa lineament, an ∼500-km-long topographic lineament oblique to the Cascadia plate boundary, extending from Vancouver Island, British Columbia, to Walla Walla, Washington. The structure and past earthquake activity of the Wallula fault zone are important because of nearby infrastructure, and also because the fault zone defines part of the Olympic-Wallowa lineament in south-central Washington and suggests that the Olympic-Wallowa lineament may have a structural origin. We used aeromagnetic and ground magnetic data to locate the trace of the Wallula fault zone in the subsurface and map a quarry exposure of the Wallula fault zone near Finley, Washington, to investigate past earthquakes along the fault. We mapped three main packages of rocks and unconsolidated sediments in an ∼10-m-high quarry exposure. Our mapping suggests at least three late Pleistocene earthquakes with surface rupture, and an episode of liquefaction in the Holocene along the Wallula fault zone. Faint striae on the master fault surface are subhorizontal and suggest reverse dextral oblique motion for these earthquakes, consistent with dextral offset on the Wallula fault zone inferred from offset aeromagnetic anomalies associated with ca. 8.5 Ma basalt dikes. Magnetic surveys show that the Wallula fault actually lies 350 m to the southwest of the trace shown on published maps, passes directly through deformed late Pleistocene or younger deposits exposed at Finley quarry, and extends uninterrupted over 120 km.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31359.1","usgsCitation":"Sherrod, B.L., Blakely, R.J., Lasher, J.P., Lamb, A.P., Mahan, S.A., Foit, F.F., and Barnett, E., 2016, Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA: GSA Bulletin, v. 128, no. 11-12, p. 1636-1659, https://doi.org/10.1130/B31359.1.","productDescription":"24 p.","startPage":"1636","endPage":"1659","ipdsId":"IP-066033","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":492812,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1Q68HZT","text":"USGS data release","linkHelpText":"Luminescence data for: Trench Exposures across the Dead Coyote fault scarp in Kittitas Valley, Washington"},{"id":340633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc22c","contributors":{"authors":[{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":693473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lasher, John P.","contributorId":191562,"corporation":false,"usgs":false,"family":"Lasher","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Andrew P. alamb@usgs.gov","contributorId":5720,"corporation":false,"usgs":true,"family":"Lamb","given":"Andrew","email":"alamb@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":693476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foit, Franklin F.","contributorId":191563,"corporation":false,"usgs":false,"family":"Foit","given":"Franklin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnett, Elizabeth eli@usgs.gov","contributorId":2156,"corporation":false,"usgs":true,"family":"Barnett","given":"Elizabeth","email":"eli@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":693479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70184969,"text":"70184969 - 2016 - Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska","interactions":[],"lastModifiedDate":"2017-03-15T11:57:19","indexId":"70184969","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska","docAbstract":"The structural architecture of Alaska is the product of a complex history of deformation along both the Cordilleran and Arctic margins of North America involving oceanic plates, subduction zones and strike-slip faults and with continental elements of Laurentia, Baltica, and Siberia. We use geological constraints to assign regions of deformation to 14 time intervals and to map their distributions in Alaska. Alaska can be divided into three domains with differing deformational histories. Each domain includes a crustal fragment that originated near Early Paleozoic Baltica. The Northern domain experienced the Early Cretaceous Brookian orogeny, an oceanic arc-continent collision, followed by mid-Cretaceous extension. Early Cretaceous opening of the oceanic Canada Basin rifted the orogen from the Canadian Arctic margin, producing the bent trends of the orogen. The second (Southern) domain consists of Neoproterozoic and younger crust of the amalgamated Peninsular-Wrangellia-Alexander arc terrane and its paired Mesozoic accretionary prism facing the Pacific Ocean basin. The third (Interior) domain, situated between the first two domains and roughly bounded by the Cenozoic dextral Denali and Tintina faults, includes the large continental Yukon Composite and Farewell terranes having different Permian deformational episodes. Although a shared deformation that might mark their juxtaposition by collisional processes is unrecognized, sedimentary linkage between the two terranes and depositional overlap of the boundary with the Northern domain occurred by early Late Cretaceous. Late Late Cretaceous deformation is the first deformation shared by all three domains and correlates temporally with emplacement of the Southern domain against the remainder of Alaska. Early Cenozoic shortening is mild across interior Alaska but is significant in the Brooks Range, and correlates in time with dextral faulting, ridge subduction and counter-clockwise rotation of southern Alaska. Late Cenozoic shortening is significant in southern Alaska inboard of the underthrusting Yakutat terrane at the Pacific margin and in northeastern Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.06.025","usgsCitation":"Moore, T.E., and Box, S.E., 2016, Age, distribution and style of deformation in Alaska north of 60°N: Implications for assembly of Alaska: Tectonophysics, v. 691, no. A, p. 133-170, https://doi.org/10.1016/j.tecto.2016.06.025.","productDescription":"38 p.","startPage":"133","endPage":"170","ipdsId":"IP-069484","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.06.025","text":"Publisher Index Page"},{"id":337610,"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 -168.4423828125,\n 60\n ],\n [\n -141,\n 60\n ],\n [\n -141,\n 71.41317683396566\n ],\n [\n -168.4423828125,\n 71.41317683396566\n ],\n [\n -168.4423828125,\n 60\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"691","issue":"A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86a8","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":683771,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185046,"text":"70185046 - 2016 - Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population","interactions":[],"lastModifiedDate":"2017-03-13T16:31:18","indexId":"70185046","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population","docAbstract":"While variation in age structure over time and space has long been considered important for population dynamics and conservation, reliable estimates of such spatio-temporal variation in age structure have been elusive for wild vertebrate populations. This limitation has arisen because of problems of imperfect detection, the potential for temporary emigration impacting assessments of age structure, and limited information on age. However, identifying patterns in age structure is important for making reliable predictions of both short- and long-term dynamics of populations of conservation concern. Using a multistate superpopulation estimator, we estimated region-specific abundance and age structure (the proportion of individuals within each age class) of a highly endangered population of snail kites for two separate regions in Florida over 17 years (1997–2013). We find that in the southern region of the snail kite—a region known to be critical for the long-term persistence of the species—the population has declined significantly since 1997, and during this time, it has increasingly become dominated by older snail kites (> 12 years old). In contrast, in the northern region—a region historically thought to serve primarily as drought refugia—the population has increased significantly since 2007 and age structure is more evenly distributed among age classes. Given that snail kites show senescence at approximately 13 years of age, where individuals suffer higher mortality rates and lower breeding rates, these results reveal an alarming trend for the southern region. Our work illustrates the importance of accounting for spatial structure when assessing changes in abundance and age distribution and the need for monitoring of age structure in imperiled species.
","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0162690","usgsCitation":"Reichert, B.E., Kendall, W., Fletcher, R.J., and Kitchens, W.M., 2016, Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population: PLoS ONE, v. 11, no. 9, p. 1-18, https://doi.org/10.1371/journal.pone.0162690.","productDescription":"e0162690; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-074516","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0162690","text":"Publisher Index Page"},{"id":337473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.24365234375,\n 25.512700007620513\n ],\n [\n -80.09033203125,\n 25.512700007620513\n ],\n [\n -80.09033203125,\n 28.5941685062326\n ],\n [\n -82.24365234375,\n 28.5941685062326\n ],\n [\n -82.24365234375,\n 25.512700007620513\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e92","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":684162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":684164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184976,"text":"70184976 - 2016 - Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","interactions":[],"lastModifiedDate":"2017-03-14T15:59:14","indexId":"70184976","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","docAbstract":"Distributional shifts of biota to higher latitudes and elevations are presumably influenced by species-specific physiological tolerances related to warming temperatures. However, it is establishment rather than dispersal that may be limiting colonizations in these cold frontier areas. In freshwater ecosystems, perennial groundwater springs provide critical winter thermal refugia in these extreme environments. By reconciling the thermal characteristics of these refugia with the minimum thermal tolerances of life stages critical for establishment, we develop a strategy to focus broad projections of northward and upward range shifts to the specific habitats that are likely for establishments. We evaluate this strategy using chum salmon (Oncorhynchus keta) and pink salmon (Oncorhynchus gorbuscha) that seem poised to colonize Arctic watersheds. Stream habitats with a minimum temperature of 4 °C during spawning and temperatures above 2 °C during egg incubation were most vulnerable to establishments by chum and pink salmon. This strategy will improve modelling forecasts of range shifts for cold freshwater habitats and focus proactive efforts to conserve both newly emerging fisheries and native species at northern and upper distributional extremes.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0051","usgsCitation":"Dunmall, K.M., Mochnacz, N.J., Zimmerman, C.E., Lean, C., and Reist, J.D., 2016, Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 12, p. 1750-1758, https://doi.org/10.1139/cjfas-2016-0051.","productDescription":"9 p.","startPage":"1750","endPage":"1758","ipdsId":"IP-057378","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73094","text":"External Repository"},{"id":337544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd1","contributors":{"authors":[{"text":"Dunmall, Karen M.","contributorId":189272,"corporation":false,"usgs":false,"family":"Dunmall","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mochnacz, Neil J.","contributorId":189273,"corporation":false,"usgs":false,"family":"Mochnacz","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":683797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lean, Charles","contributorId":189274,"corporation":false,"usgs":false,"family":"Lean","given":"Charles","email":"","affiliations":[],"preferred":false,"id":684321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reist, James D.","contributorId":189275,"corporation":false,"usgs":false,"family":"Reist","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185056,"text":"70185056 - 2016 - The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318","interactions":[],"lastModifiedDate":"2017-03-13T16:20:03","indexId":"70185056","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318","docAbstract":"The Adélie Basin, located offshore of the Wilkes Land margin, experiences unusually high sedimentation rates (~ 2 cm yr− 1) for the Antarctic coast. This study sought to compare depthwise changes in organic matter (OM) quantity and quality with changes in microbial biomass with depth at this high-deposition site and an offshore continental margin site. Sediments from both sites were collected during the International Ocean Drilling (IODP) Program Expedition 318. Viable microbial biomass was estimated from concentrations of bacterial-derived phospholipid fatty acids, while OM quality was assessed using four different amino acid degradation proxies. Concentrations of total hydrolysable amino acids (THAA) measured from the continental margin suggest an oligotrophic environment, with THAA concentrations representing only 2% of total organic carbon with relative proportions of non-protein amino acids β-alanine and γ-aminobutyric acid as high as 40%. In contrast, THAA concentrations from the near-shore Adélie Basin represent 40%–60% of total organic carbon. Concentrations of β-alanine and γ-aminobutyric acid were often below the detection limit and suggest that the OM of the basin as labile. DI values in surface sediments at the Adélie and margin sites were measured to be + 0.78 and − 0.76, reflecting labile and more recalcitrant OM, respectively. Greater DI values in deeper and more anoxic portions of both cores correlated positively with increased relative concentrations of phenylalanine plus tyrosine and may represent a change of redox conditions, rather than OM quality. This suggests that DI values calculated along chemical profiles should be interpreted with caution. THAA concentrations, the percentage of organic carbon (CAA%) and total nitrogen (NAA%) represented by amino acids at both sites demonstrated a significant positive correlation with bacterial abundance estimates. These data suggest that the selective degradation of amino acids, as indicated by THAA concentrations, CAA% or NAA% values may be a better proxy for describing the general changes in sedimentary bacterial abundances than total organic matter or bulk sedimentation rates.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2016.08.002","usgsCitation":"Carr, S., Mills, C., and Mandernack, K.W., 2016, The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318: Marine Chemistry, v. 186, p. 72-82, https://doi.org/10.1016/j.marchem.2016.08.002.","productDescription":"11 p.","startPage":"72","endPage":"82","ipdsId":"IP-076259","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":337469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8a","contributors":{"authors":[{"text":"Carr, Stephanie A","contributorId":189201,"corporation":false,"usgs":false,"family":"Carr","given":"Stephanie A","affiliations":[],"preferred":false,"id":684105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":684104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandernack, Kevin W","contributorId":189202,"corporation":false,"usgs":false,"family":"Mandernack","given":"Kevin","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":684106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185055,"text":"70185055 - 2016 - Positive biodiversity-productivity relationship predominant in global forests","interactions":[],"lastModifiedDate":"2017-03-15T12:41:45","indexId":"70185055","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Positive biodiversity-productivity relationship predominant in global forests","docAbstract":"The relationship between biodiversity and ecosystem productivity has been explored in detail in herbaceous vegetation, but patterns in forests are far less well understood. Liang et al. have amassed a global forest data set from >770,000 sample plots in 44 countries. A positive and consistent relationship can be discerned between tree diversity and ecosystem productivity at landscape, country, and ecoregion scales. On average, a 10% loss in biodiversity leads to a 3% loss in productivity. This means that the economic value of maintaining biodiversity for the sake of global forest productivity is more than fivefold greater than global conservation costs.
","language":"English","publisher":"Science","doi":"10.1126/science.aaf8957","usgsCitation":"Liang, J., Crowther, T.W., Picard, N., Wiser, S., Zhou, M., Alberti, G., Schulze, E., McGuire, A.D., and et al., 2016, Positive biodiversity-productivity relationship predominant in global forests: Science, v. 354, no. 6309, 12 p., https://doi.org/10.1126/science.aaf8957.","productDescription":"12 p.","ipdsId":"IP-076166","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470456,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.knaw.nl/portal/en/publications/5d718d39-0a5b-44dc-a476-4fc94ec12084","text":"External Repository"},{"id":337630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6309","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a6","contributors":{"authors":[{"text":"Liang, Jingjing","contributorId":189197,"corporation":false,"usgs":false,"family":"Liang","given":"Jingjing","email":"","affiliations":[],"preferred":false,"id":684099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowther, Thomas W.","contributorId":177398,"corporation":false,"usgs":false,"family":"Crowther","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Picard, Nicolas","contributorId":189198,"corporation":false,"usgs":false,"family":"Picard","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":684101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiser, Susan","contributorId":189199,"corporation":false,"usgs":false,"family":"Wiser","given":"Susan","email":"","affiliations":[],"preferred":false,"id":684102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhou, Mo","contributorId":189200,"corporation":false,"usgs":false,"family":"Zhou","given":"Mo","email":"","affiliations":[],"preferred":false,"id":684103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alberti, Giorgio","contributorId":189320,"corporation":false,"usgs":false,"family":"Alberti","given":"Giorgio","email":"","affiliations":[],"preferred":false,"id":684506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schulze, Ernst-Detlef","contributorId":189321,"corporation":false,"usgs":false,"family":"Schulze","given":"Ernst-Detlef","email":"","affiliations":[],"preferred":false,"id":684507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":684508,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"et al.","contributorId":128369,"corporation":true,"usgs":false,"organization":"et al.","id":684528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70182084,"text":"70182084 - 2016 - New findings of twisted-wing parasites (Strepsiptera) in Alaska","interactions":[],"lastModifiedDate":"2017-03-29T11:48:55","indexId":"70182084","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5299,"text":"Newsletter of the Alaska Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"New findings of twisted-wing parasites (Strepsiptera) in Alaska","docAbstract":"Strepsipterans are a group of insects with a gruesome life history and an enigmatic evolutionary past. Called ‘twisted-wing parasites’, they are minute parasitoids with a very distinct morphology (Figure 1). Alternatively thought to be related to ichneumon wasps, Diptera (flies), Coleoptera (beetles), and even Neuroptera (net-winged insects) (Pohl and Beutel, 2013); the latest genetic and morphological data support the sister order relationship of Strepsiptera and Coleoptera (Niehuis et al., 2012). Strepsipterans are highly modified, males having two hind wings and halteres instead of front wings or elytra. Unlike most parasitoids, they develop inside active, living insects who are sexually sterilized but not killed until or after emergence (Kathirithamby et al., 2015).
","language":"English","publisher":"Alaska Entomological Society","usgsCitation":"Mcdermott, M., 2016, New findings of twisted-wing parasites (Strepsiptera) in Alaska: Newsletter of the Alaska Entomological Society, v. 9, no. 1, p. 6-8.","productDescription":"3 p.","startPage":"6","endPage":"8","ipdsId":"IP-074440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":335675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335665,"type":{"id":15,"text":"Index Page"},"url":"https://www.akentsoc.org/newsletter-v9-n1","linkFileType":{"id":5,"text":"html"}}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82de4b025c46428626c","contributors":{"authors":[{"text":"Mcdermott, Molly 0000-0002-0000-0831 mmcdermott@usgs.gov","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":181770,"corporation":false,"usgs":true,"family":"Mcdermott","given":"Molly","email":"mmcdermott@usgs.gov","affiliations":[],"preferred":true,"id":669493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182778,"text":"70182778 - 2016 - Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","interactions":[],"lastModifiedDate":"2017-05-31T16:05:26","indexId":"70182778","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","docAbstract":"A number of studies have reported the presence of wheat septoria leaf blotch (Septoria tritici; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. Specifically, we identified 50 environmental variables and assessed their relationships with SLB disease severity. Geographically referenced disease severity data were obtained from the field, and linear regression and Boosted Regression Trees (BRT) modeling approaches were used for developing spatial models. Moderate-resolution imaging spectroradiometer (MODIS) derived vegetation indices and land surface temperature (LST) variables highly influenced SLB model predictions. Soil and topographic variables did not sufficiently explain observed SLB disease severity variation in this study. Our results show that wheat growing areas in Central Ethiopia, including highly productive districts, are at risk of SLB disease. The study demonstrates the integration of field data with modeling approaches such as BRT for predicting the spatial patterns of severity of a pathogenic wheat disease in Central Ethiopia. Our results can aid Ethiopia's wheat disease monitoring efforts, while our methods can be replicated for testing related hypotheses elsewhere.
","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.09.003","usgsCitation":"Wakie, T., Kumar, S., Senay, G., Takele, A., and Lencho, A., 2016, Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia: Ecological Informatics, v. 36, p. 15-30, https://doi.org/10.1016/j.ecoinf.2016.09.003.","productDescription":"16 p.","startPage":"15","endPage":"30","ipdsId":"IP-079364","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2016.09.003","text":"Publisher Index Page"},{"id":336745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf5","chorus":{"doi":"10.1016/j.ecoinf.2016.09.003","url":"http://dx.doi.org/10.1016/j.ecoinf.2016.09.003","publisher":"Elsevier BV","authors":"Wakie Tewodros T., Kumar Sunil, Senay Gabriel B., Takele Abera, Lencho Alemu","journalName":"Ecological Informatics","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Wakie, Tewodros","contributorId":138730,"corporation":false,"usgs":false,"family":"Wakie","given":"Tewodros","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":680410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":680411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","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":673717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takele, Abera","contributorId":187439,"corporation":false,"usgs":false,"family":"Takele","given":"Abera","email":"","affiliations":[],"preferred":false,"id":680412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencho, Alemu","contributorId":187440,"corporation":false,"usgs":false,"family":"Lencho","given":"Alemu","email":"","affiliations":[],"preferred":false,"id":680413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192022,"text":"70192022 - 2016 - Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","interactions":[],"lastModifiedDate":"2017-10-19T15:05:42","indexId":"70192022","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5385,"text":"Climate Change Responses","active":true,"publicationSubtype":{"id":10}},"title":"Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","docAbstract":"Background
Contemporary climate change is affecting nearly all biomes, causing shifts in animal distributions, phenology, and persistence. Favorable microclimates may buffer organisms against rapid changes in climate, thereby allowing time for populations to adapt. The degree to which microclimates facilitate the local persistence of climate-sensitive species, however, is largely an open question. We addressed the importance of microrefuges in mammalian thermal specialists, using the American pika (Ochotona princeps) as a model organism. Pikas are sensitive to ambient temperatures, and are active year-round in the alpine where conditions are highly variable. We tested four hypotheses about the relationship between microrefuges and pika occurrence: 1) Local-habitat Hypothesis (local-habitat conditions are paramount, regardless of microrefuge); 2) Surface-temperature Hypothesis (surrounding temperatures, unmoderated by microrefuge, best predict occurrence); 3) Interstitial-temperature Hypothesis (temperatures within microrefuges best predict occurrence), and 4) Microrefuge Hypothesis (the degree to which microrefuges moderate the surrounding temperature facilitates occurrence, regardless of other habitat characteristics). We examined pika occurrence at 146 sites across an elevational gradient. We quantified pika presence, physiographic habitat characteristics and forage availability at each site, and deployed paired temperature loggers at a subset of sites to measure surface and subterranean temperatures.
Results
We found strong support for the Microrefuge Hypothesis. Pikas were more likely to occur at sites where the subsurface environment substantially moderated surface temperatures, especially during the warm season. Microrefugium was the strongest predictor of pika occurrence, independent of other critical habitat characteristics, such as forage availability.
Conclusions
By modulating surface temperatures, microrefuges may strongly influence where temperature-limited animals persist in rapidly warming environments. As climate change continues to manifest, efforts to understand the changing dynamics of animal-habitat relationships will be enhanced by considering the quality of microrefuges.
Complex watershed simulation models are powerful tools that can help scientists and policy-makers address challenging topics, such as land use management and water security. In the Western Lake Erie Basin (WLEB), complex hydrological models have been applied at various scales to help describe relationships between land use and water, nutrient, and sediment dynamics. This manuscript evaluated the capacity of the current Soil and Water Assessment Tool (SWAT2012) to predict hydrological and water quality processes within WLEB at the finest resolution watershed boundary unit (NHDPlus) along with the current conditions and conservation scenarios. The process based SWAT model was capable of the fine-scale computation and complex routing used in this project, as indicated by measured data at five gaging stations. The level of detail required for fine-scale spatial simulation made the use of both hard and soft data necessary in model calibration, alongside other model adaptations. Limitations to the model's predictive capacity were due to a paucity of data in the region at the NHDPlus scale rather than due to SWAT functionality. Results of treatment scenarios demonstrate variable effects of structural practices and nutrient management on sediment and nutrient loss dynamics. Targeting treatment to acres with critical outstanding conservation needs provides the largest return on investment in terms of nutrient loss reduction per dollar spent, relative to treating acres with lower inherent nutrient loss vulnerabilities. Importantly, this research raises considerations about use of models to guide land management decisions at very fine spatial scales. Decision makers using these results should be aware of data limitations that hinder fine-scale model interpretation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.06.202","usgsCitation":"Yen, H., White, M.J., Arnold, J.G., Keitzer, S.C., Johnson, M.V., Atwood, J.D., Daggupati, P., Herbert, M.E., Sowa, S.P., Ludsin, S.A., Robertson, D.M., Srinivasan, R., and Rewa, C.A., 2016, Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios: Science of the Total Environment, v. 569-570, p. 1265-1281, https://doi.org/10.1016/j.scitotenv.2016.06.202.","productDescription":"17 p.","startPage":"1265","endPage":"1281","ipdsId":"IP-075988","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":470472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.06.202","text":"Publisher Index Page"},{"id":337455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie Basin","volume":"569-570","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8c","contributors":{"authors":[{"text":"Yen, Haw 0000-0002-5509-8792","orcid":"https://orcid.org/0000-0002-5509-8792","contributorId":169564,"corporation":false,"usgs":false,"family":"Yen","given":"Haw","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":684085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Michael J.","contributorId":172348,"corporation":false,"usgs":false,"family":"White","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Jeffrey G.","contributorId":172345,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":684097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keitzer, S. Conor 0000-0002-8164-4099","orcid":"https://orcid.org/0000-0002-8164-4099","contributorId":189196,"corporation":false,"usgs":false,"family":"Keitzer","given":"S.","email":"","middleInitial":"Conor","affiliations":[],"preferred":false,"id":684096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Mari-Vaughn V. 0000-0002-2944-2529","orcid":"https://orcid.org/0000-0002-2944-2529","contributorId":189195,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":684095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atwood, Jay D.","contributorId":189194,"corporation":false,"usgs":false,"family":"Atwood","given":"Jay","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daggupati, Prasad 0000-0002-7044-3435","orcid":"https://orcid.org/0000-0002-7044-3435","contributorId":189193,"corporation":false,"usgs":false,"family":"Daggupati","given":"Prasad","email":"","affiliations":[],"preferred":false,"id":684093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herbert, Matthew E.","contributorId":189192,"corporation":false,"usgs":false,"family":"Herbert","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":684092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sowa, Scott P. 0000-0002-5425-2591 sowasp@missouri.edu","orcid":"https://orcid.org/0000-0002-5425-2591","contributorId":146672,"corporation":false,"usgs":false,"family":"Sowa","given":"Scott","email":"sowasp@missouri.edu","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":684091,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ludsin, Stuart A. 0000-0002-3866-2216","orcid":"https://orcid.org/0000-0002-3866-2216","contributorId":175425,"corporation":false,"usgs":false,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684090,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684086,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Srinivasan, Raghavan","contributorId":189191,"corporation":false,"usgs":false,"family":"Srinivasan","given":"Raghavan","affiliations":[],"preferred":false,"id":684089,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rewa, Charles A.","contributorId":189190,"corporation":false,"usgs":false,"family":"Rewa","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684088,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70178628,"text":"70178628 - 2016 - Chemical and isotopic changes in Williston Basin brines during long-term oil production: An example from the Poplar dome, Montana","interactions":[],"lastModifiedDate":"2017-04-27T10:14:39","indexId":"70178628","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Chemical and isotopic changes in Williston Basin brines during long-term oil production: An example from the Poplar dome, Montana","docAbstract":"Brine samples were collected from 30 conventional oil wells producing mostly from the Charles Formation of the Madison Group in the East and Northwest Poplar oil fields on the Fort Peck Indian Reservation, Montana. Dissolved concentrations of major ions, trace metals, Sr isotopes, and stable isotopes (oxygen and hydrogen) were analyzed to compare with a brine contaminant that affected groundwater northeast of the town of Poplar. Two groups of brine compositions, designated group I and group II, are identified on the basis of chemistry and 87Sr/86Sr ratios. The solute chemistry and Sr isotopic composition of group I brines are consistent with long-term residency in Mississippian carbonate rocks, and brines similar to these contaminated the groundwater. Group II brines probably resided in clastic rocks younger than the Mississippian limestones before moving into the Poplar dome to replenish the long-term fluid extraction from the Charles Formation. Collapse of strata at the crest of the Poplar dome resulting from dissolution of Charles salt in the early Paleogene probably developed pathways for the ingress of group II brines from overlying clastic aquifers into the Charles reservoir. Such changes in brine chemistry associated with long-term oil production may be a widespread phenomenon in the Williston Basin.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/05261615114","usgsCitation":"Peterman, Z.E., and Thamke, J., 2016, Chemical and isotopic changes in Williston Basin brines during long-term oil production: An example from the Poplar dome, Montana: AAPG Bulletin, v. 100, no. 10, p. 1619-1632, https://doi.org/10.1306/05261615114.","productDescription":"14 p.","startPage":"1619","endPage":"1632","ipdsId":"IP-066379","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"100","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e50739b","contributors":{"authors":[{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":654632,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178721,"text":"70178721 - 2016 - Application of decision science to resilience management in Jamaica Bay","interactions":[],"lastModifiedDate":"2017-03-28T09:02:12","indexId":"70178721","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of decision science to resilience management in Jamaica Bay","docAbstract":"This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. 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P.","contributorId":189915,"corporation":false,"usgs":false,"family":"Hare","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedman, Richard C.","contributorId":171461,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177939,"text":"70177939 - 2016 - Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","interactions":[],"lastModifiedDate":"2017-01-20T11:10:39","indexId":"70177939","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","docAbstract":"The Prairie Pothole Region (PPR) is home to more than 50% of the migratory waterfowl in North America. Although the PPR provides an abundance of temporary and permanent wetlands for nesting and feeding, increases in commodity prices and agricultural drainage practices have led to a trend of wetland drainage. The Northern Shoveler is a migratory dabbling duck species that uses wetland habitats and cultivated croplands in the PPR. Richland County in North Dakota and Roberts County in South Dakota have an abundance of wetlands and croplands and were chosen as the study areas for this research to assess the wetland size and cultivated cropland in relation to hydrologic soil groups for the Northern Shoveler habitat. This study used geographic information system data to analyze Northern Shoveler habitats in association with Natural Resource Conservation Service soil data. Habitats, which are spatially associated with certain hydrologic soil groups, may be at risk of artificial drainage installations because of their proximity to cultivated croplands and soil lacking in natural drainage that may become wet or inundated. Findings indicate that most wetlands that are part of Northern Shoveler habitats were within or adjacent to cultivated croplands. The results also revealed soil hydrologic groups with high runoff potential and low water transmission rates account for most of the soil within the Northern Shoveler‘s wetland and cropland habitats. Habitats near agriculture with high runoff potential are likely to be drained and this has the potential of reducing Northern Shoveler habitat.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"10th International Drainage Symposium Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International Drainage Symposium Conference","conferenceDate":"September 6-9, 2016","conferenceLocation":"Minneapolis, Minnesota","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/IDS.20162493338","usgsCitation":"Kastner, B., Christensen, V.G., Williamson, T., and Sanocki, C.A., 2016, Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups, in 10th International Drainage Symposium Conference, Minneapolis, Minnesota, September 6-9, 2016, https://doi.org/10.13031/IDS.20162493338.","ipdsId":"IP-076360","costCenters":[{"id":392,"text":"Minnesota Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":659210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":659211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178032,"text":"70178032 - 2016 - King Rail (Rallus elegans) Nesting and Brood 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M.","contributorId":16137,"corporation":false,"usgs":true,"family":"Carroll","given":"M.","email":"","affiliations":[],"preferred":false,"id":652655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":652656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178036,"text":"70178036 - 2016 - Organizing environmental flow frameworks to meet hydropower mitigation needs","interactions":[],"lastModifiedDate":"2016-11-01T13:30:46","indexId":"70178036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Organizing environmental flow frameworks to meet hydropower mitigation needs","docAbstract":"The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow science due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Herein, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. Our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. Lastly, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0726-y","usgsCitation":"McManamay, R.A., Brewer, S.K., Jager, H., and Troia, M.J., 2016, Organizing environmental flow frameworks to meet hydropower mitigation needs: Environmental Management, v. 58, no. 3, p. 365-385, https://doi.org/10.1007/s00267-016-0726-y.","productDescription":"21 p.","startPage":"365","endPage":"385","ipdsId":"IP-069487","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1260072","text":"External Repository"},{"id":330622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91009","contributors":{"authors":[{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jager, Henriette","contributorId":167339,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","affiliations":[{"id":24694,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":652648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troia, Matthew J.","contributorId":176520,"corporation":false,"usgs":false,"family":"Troia","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178631,"text":"70178631 - 2016 - Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight","interactions":[],"lastModifiedDate":"2017-07-12T16:12:02","indexId":"70178631","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight","docAbstract":"The lampricides 3-trifluoromethyl-4-nitrophenol (TFM) and 2′,5-dichloro-4′-nitrosalicylanilide (niclosamide) are directly added to many tributaries of the Great Lakes that harbor the invasive parasitic sea lamprey. Despite their long history of use, the fate of lampricides is not well understood. This study evaluates the rate and pathway of direct photodegradation of both lampricides under simulated sunlight. The estimated half-lives of TFM range from 16.6 ± 0.2 h (pH 9) to 32.9 ± 1.0 h (pH 6), while the half-lives of niclosamide range from 8.88 ± 0.52 days (pH 6) to 382 ± 83 days (pH 9) assuming continuous irradiation over a water depth of 55 cm. Both compounds degrade to form a series of aromatic intermediates, simple organic acids, ring cleavage products, and inorganic ions. Experimental data were used to construct a kinetic model which demonstrates that the aromatic products of TFM undergo rapid photolysis and emphasizes that niclosamide degradation is the rate-limiting step to dehalogenation and mineralization of the lampricide. This study demonstrates that TFM photodegradation is likely to occur on the time scale of lampricide applications (2–5 days), while niclosamide, the less selective lampricide, will undergo minimal direct photodegradation during its passage to the Great Lakes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02607","usgsCitation":"McConville, M.B., Hubert, T.D., and Remucal, C.K., 2016, Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight: Environmental Science & Technology, v. 50, no. 18, p. 9998-10006, https://doi.org/10.1021/acs.est.6b02607.","productDescription":"9 p.","startPage":"9998","endPage":"10006","ipdsId":"IP-076266","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":331398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"18","noUsgsAuthors":false,"publicationDate":"2016-08-26","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507398","contributors":{"authors":[{"text":"McConville, Megan B.","contributorId":177099,"corporation":false,"usgs":false,"family":"McConville","given":"Megan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":654640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":654641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Remucal, Christina K.","contributorId":177100,"corporation":false,"usgs":false,"family":"Remucal","given":"Christina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":654642,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178010,"text":"70178010 - 2016 - Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","interactions":[],"lastModifiedDate":"2016-11-01T13:56:10","indexId":"70178010","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","docAbstract":"To determine whether a consumption-oriented fishery was compatible with a trophy-oriented fishery for Muskellunge Esox masquinongy, we modeled effects of a spearing fishery and recreational angling fishery on population size structure (i.e., numbers of fish ≥ 102, 114, and 127 cm) in northern Wisconsin. An individual-based simulation model was used to quantify the effect of harvest mortality at currently observed levels of recreational angling and tribal spearing fishery exploitation, along with simulated increases in exploitation, for three typical growth potentials (i.e., low, moderate, and high) of Muskellunge in northern Wisconsin across a variety of minimum length limits (i.e., 71, 102, 114, and 127 cm). Populations with moderate to high growth potential and minimum length limits ≥ 114 cm were predicted to have lower declines in numbers of trophy Muskellunge when subjected to angling-only and mixed fisheries at observed and increased levels of exploitation, which suggested that fisheries with disparate motivations may be able to coexist under certain conditions such as restrictive length limits and low levels of exploitation. However, for most Muskellunge populations in northern Wisconsin regulated by a 102-cm minimum length limit, both angling and spearing fisheries may reduce numbers of trophy Muskellunge as larger declines were predicted across all growth potentials. Our results may be useful if Muskellunge management options in northern Wisconsin are re-examined in the future.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1214646","usgsCitation":"Faust, M.D., and Hansen, M.J., 2016, Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1336-1346, https://doi.org/10.1080/02755947.2016.1214646.","productDescription":"11 p.","startPage":"1336","endPage":"1346","ipdsId":"IP-075344","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100f","contributors":{"authors":[{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":652538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":652537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192862,"text":"70192862 - 2016 - Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","interactions":[],"lastModifiedDate":"2017-11-08T12:18:59","indexId":"70192862","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","docAbstract":"Fishery managers often use catch per unit effort (CPUE) of a given taxon derived from a group of anglers, those that sought said taxon, to evaluate fishery objectives because managers assume CPUE for this group of anglers is most sensitive to changes in fish taxon density. Further, likelihood of harvest may differ for sought and non-sought taxa if taxon sought is a defining characteristic of anglers’ attitude toward harvest. We predicted that taxon-specific catch across parties and reservoirs would be influenced by targeted taxon after controlling for number of anglers in a party and time spent fishing (combine to quantify fishing effort of party); we also predicted similar trends for taxon-specific harvest. We used creel-survey data collected from anglers that varied in taxon targeted, from generalists (targeting “anything” [no primary target taxa, but rather targeting all fishes]) to target specialists (e.g., anglers targeting largemouth bass Micropterus salmoides) in 19 Nebraska reservoirs during 2009–2011 to test our predictions. Taxon-specific catch and harvest were, in general, positively related to fishing effort. More importantly, we observed differences of catch and harvest among anglers grouped by taxon targeted for each of the eight taxa assessed. Anglers targeting a specific taxon had the greatest catch for that taxon and anglers targeting anything typically had the second highest catch for that taxon. In addition, anglers tended to catch more of closely related taxa and of taxa commonly targeted with similar fishing techniques. We encourage managers to consider taxon-specific objectives of target and non-target catch and harvest.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.05.025","usgsCitation":"Pope, K.L., Chizinski, C.J., Wiley, C.L., and Martin, D., 2016, Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa: Fisheries Research, v. 183, p. 128-137, https://doi.org/10.1016/j.fishres.2016.05.025.","productDescription":"10 p.","startPage":"128","endPage":"137","ipdsId":"IP-054691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453df","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Christopher L.","contributorId":200145,"corporation":false,"usgs":false,"family":"Wiley","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192923,"text":"70192923 - 2016 - The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","interactions":[],"lastModifiedDate":"2017-10-30T14:42:05","indexId":"70192923","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","docAbstract":"This paper discusses the challenges and benefits of the Grand Ethiopian Renaissance Dam (GERD), which is under construction and expected to be operational on the Blue Nile River in Ethiopia in a few years. Like many large-scale projects on transboundary rivers, the GERD has been criticized for potentially jeopardizing downstream water security and livelihoods through upstream unilateral decision making. In spite of the contentious nature of the project, the authors argue that this project can provide substantial benefits for regional development. The GERD, like any major river infrastructure project, will undeniably bring about social, environmental, and economic change, and in this unique case has, on balance, the potential to achieve success on all fronts. It must be stressed, however, that strong partnerships between riparian countries are essential. National success is contingent on regional cooperation.
","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)WR.1943-5452.0000708","usgsCitation":"Teferi Taye, M., Tadesse, T., Senay, G., and Block, P., 2016, The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?: Journal of Water Resources Planning and Management, v. 142, no. 11, p. 1-5, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000708.","productDescription":"Article 02516001; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-072208","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 24.8291015625,\n -2.986927393334863\n ],\n [\n 36.73828124999999,\n -2.986927393334863\n ],\n [\n 36.73828124999999,\n 31.39115752282472\n ],\n [\n 24.8291015625,\n 31.39115752282472\n ],\n [\n 24.8291015625,\n -2.986927393334863\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980fd","contributors":{"authors":[{"text":"Teferi Taye, Meron","contributorId":198997,"corporation":false,"usgs":false,"family":"Teferi Taye","given":"Meron","email":"","affiliations":[],"preferred":false,"id":717835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":717836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":717360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Block, Paul","contributorId":198998,"corporation":false,"usgs":false,"family":"Block","given":"Paul","email":"","affiliations":[],"preferred":false,"id":717837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178133,"text":"70178133 - 2016 - Long-term continuous acoustical suspended-sediment measurements in rivers – Theory, evaluation, and results from 14 stations on five rivers","interactions":[],"lastModifiedDate":"2017-04-13T09:17:41","indexId":"70178133","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Long-term continuous acoustical suspended-sediment measurements in rivers – Theory, evaluation, and results from 14 stations on five rivers","docAbstract":"We have developed a physically based method for using two acoustic frequencies to measure suspended-silt-and-clay concentration, suspended-sand concentration, and suspended-sand median grain size in river cross sections at 15-minute intervals over decadal timescales. The method is strongly grounded in the extensive scientific literature on the scattering of sound by suspensions of small particles. In particular, the method takes advantage of the specific theoretical relations among acoustic frequency, acoustic attenuation, acoustic backscatter, suspended-sediment concentration, and suspended-sediment grain-size distribution. We briefly describe the theory and methods, demonstrate the application of the method, and compute biases and errors in the method at 14 stations in the Colorado River and Rio Grande basins, where large numbers of suspended-sediment samples have been collected concurrently with acoustical measurements over many years. Quantification of errors in sediment-transport measurements made using this method is essential if the measurements are to be used effectively, e.g., to evaluate uncertainty in long-term sediment loads and budgets","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016, Proceedings of the International Conference on Fluvial Hydraulics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"River Flow 2016","conferenceDate":"July 11-14, 2016","conferenceLocation":"St. Louis, MO","language":"English","isbn":"978-1-315-64447-9","usgsCitation":"Topping, D.J., Wright, S., Griffiths, R.E., and Dean, D.J., 2016, Long-term continuous acoustical suspended-sediment measurements in rivers – Theory, evaluation, and results from 14 stations on five rivers, in River Flow 2016, Proceedings of the International Conference on Fluvial Hydraulics, St. Louis, MO, July 11-14, 2016, p. 1510-1518.","productDescription":"9 p.","startPage":"1510","endPage":"1518","ipdsId":"IP-073932","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":339657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa850","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179077,"text":"70179077 - 2016 - Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","interactions":[],"lastModifiedDate":"2016-12-15T15:27:17","indexId":"70179077","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","docAbstract":"Many ecological processes depend on the regular rise and fall of water levels (WLs), and artificial manipulations to WL regimes can impair important ecosystem services. Previous research has suggested that differences in WL between late summer and early spring may alter the suitability of shoals used by Walleyes Sander vitreus for spawning. Other species, such as the Yellow Perch Perca flavescens, are unlikely to be affected in the same way by WL fluctuations because their spawning requirements are quite different. We used 11–23 years of data from six northern Minnesota lakes to assess the effects of WL fluctuations on the abundances of young-of-the-year (age-0) Walleyes and Yellow Perch. In two lakes (Rainy Lake and Lake Kabetogama), a change in WL management occurred in 2000, after which these lakes saw increased age-0 Walleye abundance, while the other study lakes experienced decreases or no change. Rainy Lake and Lake Kabetogama also had increases in age-0 Yellow Perch, but another study lake did also. We used partial least-squares regression to assess whether WL metrics were associated with variation in age-0 Walleye and Yellow Perch abundances, but WL metrics were seldom associated with age-0 abundance for either species. Our analysis suggested a potential influence of WL regulation on age-0 Walleye abundance, but we found no evidence that early spring access to spawning shoals was the mechanism by which this occurred.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1214645","usgsCitation":"Larson, J.H., Staples, D.F., Maki, R., Vallazza, J., Knights, B.C., and Peterson, K.E., 2016, Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?: North American Journal of Fisheries Management, v. 36, no. 6, p. 1425-1436, https://doi.org/10.1080/02755947.2016.1214645.","productDescription":"12 p.","startPage":"1425","endPage":"1436","ipdsId":"IP-061712","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Do_Water_Level_Fluctuations_Influence_Production_of_Walleye_and_Yellow_Perch_Young-of-the-Year_in_Large_Northern_Lakes_/4223739","text":"External Repository"},{"id":332190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"5853ba40e4b0e2663625f2b8","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staples, David F.","contributorId":150561,"corporation":false,"usgs":false,"family":"Staples","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":655944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":655945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Kevin E.","contributorId":177489,"corporation":false,"usgs":false,"family":"Peterson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655948,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}