Burbot Lota lota were illegally introduced into the Green River, Wyoming, drainage and have since proliferated throughout the system. Burbot in the Green River pose a threat to native species and to socially, economically, and ecologically important recreational fisheries. Therefore, managers of the Green River are interested in implementing a suppression program for Burbot. We collected demographic data on Burbot in the Green River (summer and autumn 2013) and used the information to construct an age-based population model (female-based Leslie matrix) to simulate the population-level response of Burbot to the selective removal of different age-classes. Burbot in the Green River grew faster, matured at relatively young ages, and were highly fecund compared with other Burbot populations within the species’ native distribution. The age-structured population model, in conjunction with demographic information, indicated that the Burbot population in the Green River could be expected to increase under current conditions. The model also indicated that the Burbot population in the Green River would decline once total annual mortality reached 58%. The population growth of Burbot in the Green River was most sensitive to age-0 and age-1 mortality. The age-structured population model indicated that an increase in mortality, particularly for younger age-classes, would result in the effective suppression of the Burbot population in the Green River.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1173137","usgsCitation":"Klein, Z.B., Quist, M.C., Rhea, D.T., and Senecal, A.C., 2016, Population characteristics and the suppression of nonnative Burbot: North American Journal of Fisheries Management, v. 36, no. 5, p. 1006-1017, https://doi.org/10.1080/02755947.2016.1173137.","productDescription":"12 p.","startPage":"1006","endPage":"1017","ipdsId":"IP-065302","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-24","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abce5","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":684259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":683957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, Darren T.","contributorId":74650,"corporation":false,"usgs":true,"family":"Rhea","given":"Darren","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":684260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senecal, Anna C.","contributorId":171649,"corporation":false,"usgs":false,"family":"Senecal","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":684261,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184982,"text":"70184982 - 2016 - Amplification of postwildfire peak flow by debris","interactions":[],"lastModifiedDate":"2017-03-13T13:59:44","indexId":"70184982","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Amplification of postwildfire peak flow by debris","docAbstract":"In burned steeplands, the peak depth and discharge of postwildfire runoff can substantially increase from the addition of debris. Yet methods to estimate the increase over water flow are lacking. We quantified the potential amplification of peak stage and discharge using video observations of postwildfire runoff, compiled data on postwildfire peak flow (Qp), and a physically based model. Comparison of flood and debris flow data with similar distributions in drainage area (A) and rainfall intensity (I) showed that the median runoff coefficient (C = Qp/AI) of debris flows is 50 times greater than that of floods. The striking increase in Qp can be explained using a fully predictive model that describes the additional flow resistance caused by the emergence of coarse-grained surge fronts. The model provides estimates of the amplification of peak depth, discharge, and shear stress needed for assessing postwildfire hazards and constraining models of bedrock incision.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL069661","usgsCitation":"Kean, J.W., McGuire, L., Rengers, F.K., Smith, J.B., and Staley, D.M., 2016, Amplification of postwildfire peak flow by debris: Geophysical Research Letters, v. 43, no. 16, p. 8545-8553, https://doi.org/10.1002/2016GL069661.","productDescription":"9 p.","startPage":"8545","endPage":"8553","ipdsId":"IP-078640","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl069661","text":"Publisher Index Page"},{"id":337445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa4e4b0849ce9795eb4","contributors":{"authors":[{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":683818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683821,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184989,"text":"70184989 - 2016 - Coseismic slip and early afterslip of the 2015 Illapel, Chile, earthquake: Implications for frictional heterogeneity and coastal uplift","interactions":[],"lastModifiedDate":"2017-03-13T13:54:13","indexId":"70184989","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic slip and early afterslip of the 2015 Illapel, Chile, earthquake: Implications for frictional heterogeneity and coastal uplift","docAbstract":"Great subduction earthquakes are thought to rupture portions of the megathrust, where interseismic coupling is high and velocity-weakening frictional behavior is dominant, releasing elastic deformation accrued over a seismic cycle. Conversely, postseismic afterslip is assumed to occur primarily in regions of velocity-strengthening frictional characteristics that may correlate with lower interseismic coupling. However, it remains unclear if fixed frictional properties of the subduction interface, coseismic or aftershock-induced stress redistribution, or other factors control the spatial distribution of afterslip. Here we use interferometric synthetic aperture radar and Global Position System observations to map the distribution of coseismic slip of the 2015 Mw 8.3 Illapel, Chile, earthquake and afterslip within the first 38 days following the earthquake. We find that afterslip overlaps the coseismic slip area and propagates along-strike into regions of both high and moderate interseismic coupling. The significance of these observations, however, is tempered by the limited resolution of geodetic inversions for both slip and coupling. Additional afterslip imaged deeper on the fault surface bounds a discrete region of deep coseismic slip, and both contribute to net uplift of the Chilean Coastal Cordillera. A simple partitioning of the subduction interface into regions of fixed frictional properties cannot reconcile our geodetic observations. Instead, stress heterogeneities, either preexisting or induced by the earthquake, likely provide the primary control on the afterslip distribution for this subduction zone earthquake. We also explore the occurrence of coseismic and postseismic coastal uplift in this sequence and its implications for recent hypotheses concerning the source of permanent coastal uplift along subduction zones.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JB013124","usgsCitation":"Barnhart, W.D., Murray, J.R., Briggs, R.W., Gomez, F., Miles, C., Svarc, J.L., Riquelme, S., and Stressler, B.J., 2016, Coseismic slip and early afterslip of the 2015 Illapel, Chile, earthquake: Implications for frictional heterogeneity and coastal uplift: Journal of Geophysical Research B: Solid Earth, v. 121, no. 8, p. 6172-6191, https://doi.org/10.1002/2016JB013124.","productDescription":"20 p.","startPage":"6172","endPage":"6191","ipdsId":"IP-075669","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013124","text":"Publisher Index Page"},{"id":337443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","volume":"121","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"58c7afa3e4b0849ce9795eb2","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":683840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez, Francisco","contributorId":189090,"corporation":false,"usgs":false,"family":"Gomez","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":683843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miles, Charles P. J.","contributorId":189091,"corporation":false,"usgs":false,"family":"Miles","given":"Charles P. J.","affiliations":[],"preferred":false,"id":683844,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":683845,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riquelme, Sebástian","contributorId":31684,"corporation":false,"usgs":true,"family":"Riquelme","given":"Sebástian","affiliations":[],"preferred":false,"id":683846,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stressler, Bryan J.","contributorId":189093,"corporation":false,"usgs":false,"family":"Stressler","given":"Bryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683847,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70184990,"text":"70184990 - 2016 - Origin of the pulse-like signature of shallow long-period volcano seismicity","interactions":[],"lastModifiedDate":"2017-03-13T13:27:06","indexId":"70184990","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the pulse-like signature of shallow long-period volcano seismicity","docAbstract":"Short-duration, pulse-like long-period (LP) events are a characteristic type of seismicity accompanying eruptive activity at Mount Etna in Italy in 2004 and 2008 and at Turrialba Volcano in Costa Rica and Ubinas Volcano in Peru in 2009. We use the discrete wave number method to compute the free surface response in the near field of a rectangular tensile crack embedded in a homogeneous elastic half space and to gain insights into the origin of the LP pulses. Two source models are considered, including (1) a vertical fluid-driven crack and (2) a unilateral tensile rupture growing at a fixed sub-Rayleigh velocity with constant opening on a vertical crack. We apply cross correlation to the synthetics and data to demonstrate that a fluid-driven crack provides a natural explanation for these data with realistic source sizes and fluid properties. Our modeling points to shallow sources (<1 km depth), whose signatures are representative of the Rayleigh pulse sampled at epicentral distances >∼1 km. While a slow-rupture failure provides another potential model for these events, the synthetics and resulting fits to the data are not optimal in this model compared to a fluid-driven source. We infer that pulse-like LP signatures are parts of the continuum of responses produced by shallow fluid-driven sources in volcanoes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013152","usgsCitation":"Chouet, B.A., and Dawson, P.B., 2016, Origin of the pulse-like signature of shallow long-period volcano seismicity: Journal of Geophysical Research B: Solid Earth, v. 121, no. 8, p. 5931-5941, https://doi.org/10.1002/2016JB013152.","productDescription":"11 p.","startPage":"5931","endPage":"5941","ipdsId":"IP-075756","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013152","text":"Publisher Index Page"},{"id":337433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"58c7afa3e4b0849ce9795eb0","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184991,"text":"70184991 - 2016 - Observations and modeling of fjord sedimentation during the 30 year retreat of Columbia Glacier, AK","interactions":[],"lastModifiedDate":"2017-03-13T13:24:42","indexId":"70184991","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Observations and modeling of fjord sedimentation during the 30 year retreat of Columbia Glacier, AK","docAbstract":"To explore links between glacier dynamics, sediment yields and the accumulation of glacial sediments in a temperate setting, we use extensive glaciological observations for Columbia Glacier, Alaska, and new oceanographic data from the fjord exposed during its retreat. High-resolution seismic data indicate that 3.2 × 108 m3 of sediment has accumulated in Columbia Fjord over the past three decades, which corresponds to ~5 mm a−1 of erosion averaged over the glaciated area. We develop a general model to infer the sediment-flux history from the glacier that is compatible with the observed retreat history, and the thickness and architecture of the fjord sediment deposits. Results reveal a fivefold increase in sediment flux from 1997 to 2000, which is not correlated with concurrent changes in ice flux or retreat rate. We suggest the flux increase resulted from an increase in the sediment transport capacity of the subglacial hydraulic system due to the retreat-related steepening of the glacier surface over a known subglacial deep basin. Because variations in subglacial sediment storage can impact glacial sediment flux, in addition to changes in climate, erosion rate and glacier dynamics, the interpretation of climatic changes based on the sediment record is more complex than generally assumed.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2016.67","usgsCitation":"Love, K.B., Hallet, B., Pratt, T.L., and O’Neel, S., 2016, Observations and modeling of fjord sedimentation during the 30 year retreat of Columbia Glacier, AK: Journal of Glaciology, v. 62, no. 234, p. 778-793, https://doi.org/10.1017/jog.2016.67.","productDescription":"16 p.","startPage":"778","endPage":"793","ipdsId":"IP-073403","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2016.67","text":"Publisher Index Page"},{"id":337432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Columbia Glacier","volume":"62","issue":"234","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-31","publicationStatus":"PW","scienceBaseUri":"58c7afa3e4b0849ce9795eae","contributors":{"authors":[{"text":"Love, Katherine B","contributorId":189094,"corporation":false,"usgs":false,"family":"Love","given":"Katherine","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":683850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallet, Bernard","contributorId":189095,"corporation":false,"usgs":false,"family":"Hallet","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":683851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":683853,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185030,"text":"70185030 - 2016 - Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape","interactions":[],"lastModifiedDate":"2017-03-14T12:35:17","indexId":"70185030","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape","docAbstract":"Potamodromous Rainbow Trout Oncorhynchus mykiss are an important ecological and recreational resource in freshwater ecosystems of Alaska, and increased human development, hydroelectric projects, and reduced escapement of Chinook Salmon Oncorhynchus tshawytscha may threaten their populations. We used aerial and on-the-ground telemetry tracking, a digital landscape model, and resource selection functions to characterize seasonal movements and habitat use of 232 adult (>400 mm FL) Rainbow Trout across the complex, large (31,221 km2) Susitna River basin of south-central Alaska during 2003–2004 and 2013–2014. We found that fish overwintered in main-stem habitats near tributary mouths from November to April. After ice-out in May, fish ascended tributaries up to 51 km to spawn and afterward moved downstream to lower tributary reaches, assumedly to intercept egg and flesh subsidies provided by spawning salmonids in July and August. Fish transitioned back to main-stem overwintering habitats at the onset of autumn when salmonid spawning waned. Fidelity to tributaries where fish were initially tagged varied across seasons but was high (>0.75) in three out of four drainages. Model-averaged resource selection functions suggested that Rainbow Trout habitat use varied seasonally; fish selected low-gradient, sinuous, main-stem stream reaches in the winter, reaches with suitably sized substrate during spawning, larger reaches during the feeding season prior to the arrival of spawning salmonids, and reaches with high Chinook Salmon spawning habitat potential following the arrival of adult fish. We found little difference in movement patterns between males and females among a subset of fish for which sex was determined using genetic analysis. As most Rainbow Trout undertake extensive movements within and among tributaries and make use of a variety of seasonal habitats to complete their life histories, it will be critical to take a basinwide approach to their management (i.e., habitat protection and angling bag limits) in light of anticipated land-use changes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1202320","usgsCitation":"Fraley, K.M., Falke, J.A., Yanusz, R., and Ivey, S.S., 2016, Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape: Transactions of the American Fisheries Society, v. 145, no. 5, p. 1077-1092, https://doi.org/10.1080/00028487.2016.1202320.","productDescription":"16 p.","startPage":"1077","endPage":"1092","ipdsId":"IP-071545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"145","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abce1","contributors":{"authors":[{"text":"Fraley, Kevin M.","contributorId":189243,"corporation":false,"usgs":false,"family":"Fraley","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yanusz, Richard","contributorId":189244,"corporation":false,"usgs":false,"family":"Yanusz","given":"Richard","email":"","affiliations":[],"preferred":false,"id":684212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivey, Sam S.","contributorId":105190,"corporation":false,"usgs":true,"family":"Ivey","given":"Sam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684213,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185006,"text":"70185006 - 2016 - Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan","interactions":[],"lastModifiedDate":"2017-05-31T16:05:49","indexId":"70185006","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan","docAbstract":"We quantified mangrove disturbance resulting from Super Typhoon Haiyan using a remote sensing approach. Mangrove areas were mapped prior to Haiyan using 30 m Landsat imagery and a supervised decision-tree classification. A time sequence of 250 m eMODIS data was used to monitor mangrove condition prior to, and following, Haiyan. Based on differences in eMODIS NDVI observations before and after the storm, we classified mangrove into three damage level categories: minimal, moderate, or severe. Mangrove damage in terms of extent and severity was greatest where Haiyan first made landfall on Eastern Samar and Western Samar provinces and lessened westward corresponding with decreasing storm intensity as Haiyan tracked from east to west across the Visayas region of the Philippines. However, within 18 months following Haiyan, mangrove areas classified as severely, moderately, and minimally damaged decreased by 90%, 81%, and 57%, respectively, indicating mangroves resilience to powerful typhoons.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.06.080","usgsCitation":"Long, J., Giri, C., Primavera, J., and Trivedi, M., 2016, Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan: Marine Pollution Bulletin, v. 109, no. 2, p. 734-743, https://doi.org/10.1016/j.marpolbul.2016.06.080.","productDescription":"10 p.","startPage":"734","endPage":"743","ipdsId":"IP-059352","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":337442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","volume":"109","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7afa2e4b0849ce9795eaa","contributors":{"authors":[{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":683914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":683915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Primavera, Jurgene H.","contributorId":56151,"corporation":false,"usgs":true,"family":"Primavera","given":"Jurgene H.","affiliations":[],"preferred":false,"id":683916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trivedi, Mandar","contributorId":189130,"corporation":false,"usgs":false,"family":"Trivedi","given":"Mandar","email":"","affiliations":[],"preferred":false,"id":683917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187756,"text":"70187756 - 2016 - Carbon and energy fluxes in cropland ecosystems: a model-data comparison","interactions":[],"lastModifiedDate":"2018-02-21T17:44:24","indexId":"70187756","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and energy fluxes in cropland ecosystems: a model-data comparison","docAbstract":"Croplands are highly productive ecosystems that contribute to land–atmosphere exchange of carbon, energy, and water during their short growing seasons. We evaluated and compared net ecosystem exchange (NEE), latent heat flux (LE), and sensible heat flux (H) simulated by a suite of ecosystem models at five agricultural eddy covariance flux tower sites in the central United States as part of the North American Carbon Program Site Synthesis project. Most of the models overestimated H and underestimated LE during the growing season, leading to overall higher Bowen ratios compared to the observations. Most models systematically under predicted NEE, especially at rain-fed sites. Certain crop-specific models that were developed considering the high productivity and associated physiological changes in specific crops better predicted the NEE and LE at both rain-fed and irrigated sites. Models with specific parameterization for different crops better simulated the inter-annual variability of NEE for maize-soybean rotation compared to those models with a single generic crop type. Stratification according to basic model formulation and phenological methodology did not explain significant variation in model performance across these sites and crops. The under prediction of NEE and LE and over prediction of H by most of the models suggests that models developed and parameterized for natural ecosystems cannot accurately predict the more robust physiology of highly bred and intensively managed crop ecosystems. When coupled in Earth System Models, it is likely that the excessive physiological stress simulated in many land surface component models leads to overestimation of temperature and atmospheric boundary layer depth, and underestimation of humidity and CO2 seasonal uptake over agricultural regions.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0219-3","usgsCitation":"Lokupitiya, E., Denning, A.S., Schaefer, K., Ricciuto, D., Anderson, R., Arain, M.A., Baker, I., Barr, A.G., Chen, G., Chen, J., Ciais, P., Cook, D., Dietze, M., El Maayar, M., Fischer, M., Grant, R., Hollinger, D., Izaurralde, C., Jain, A., Kucharik, C., Li, Z., Liu, S., Li, L., Matamala, R., Peylin, P., Price, D., Running, S., Sahoo, A., Sprintsin, M., Suyker, A., Tian, H., Tonitto, C., Torn, M., Verbeeck, H., Verma, S., and Xue, Y., 2016, Carbon and energy fluxes in cropland ecosystems: a model-data comparison: Biogeochemistry, v. 128, no. 1, p. 53-76, https://doi.org/10.1007/s10533-016-0219-3.","productDescription":"14 p.","startPage":"53","endPage":"76","ipdsId":"IP-075638","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470700,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1379544","text":"External Repository"},{"id":341422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"593e25a3e4b0764e6c61b738","contributors":{"authors":[{"text":"Lokupitiya, E.","contributorId":192091,"corporation":false,"usgs":false,"family":"Lokupitiya","given":"E.","email":"","affiliations":[],"preferred":false,"id":695469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denning, A. 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A.","contributorId":192094,"corporation":false,"usgs":false,"family":"Arain","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":695474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, I.","contributorId":192095,"corporation":false,"usgs":false,"family":"Baker","given":"I.","email":"","affiliations":[],"preferred":false,"id":695475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barr, A. 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However, recent investigations using dual water stable isotopes have shown an apparent ecohydrological separation between tree-transpired water and stream water. Here we present evidence for such ecohydrological separation in two tropical environments in Puerto Rico where precipitation seasonality is relatively low and where precipitation is positively correlated with primary productivity. We determined the stable isotope signature of xylem water of 30 mahogany (Swietenia spp.) trees sampled during two periods with contrasting moisture status. Our results suggest that the separation between transpiration water and groundwater recharge/streamflow water might be related less to the temporal phasing of hydrologic inputs and primary productivity, and more to the fundamental processes that drive evaporative isotopic enrichment of residual soil water within the soil matrix. The lack of an evaporative signature of both groundwater and streams in the study area suggests that these water balance components have a water source that is transported quickly to deeper subsurface storage compared to waters that trees use. A Bayesian mixing model used to partition source water proportions of xylem water showed that groundwater contribution was greater for valley-bottom, riparian trees than for ridge-top trees. Groundwater contribution was also greater at the xeric site than at the mesic–hydric site. These model results (1) underline the utility of a simple linear mixing model, implemented in a Bayesian inference framework, in quantifying source water contributions at sites with contrasting physiographic characteristics, and (2) highlight the informed judgement that should be made in interpreting mixing model results, of import particularly in surveying groundwater use patterns by vegetation from regional to global scales.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10841","usgsCitation":"Evaristo, J., McDonnell, J.J., Scholl, M.A., Bruijnzeel, L., and Chun, K.P., 2016, Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions: Hydrological Processes, v. 30, no. 18, p. 3210-3227, https://doi.org/10.1002/hyp.10841.","productDescription":"18 p.","startPage":"3210","endPage":"3227","ipdsId":"IP-069760","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57c","contributors":{"authors":[{"text":"Evaristo, Jaivime","contributorId":202933,"corporation":false,"usgs":false,"family":"Evaristo","given":"Jaivime","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":730230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Jeffrey J.","contributorId":202934,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":36551,"text":"University of Saskatchewan, Canada, and University of Aberdeen, Scotland","active":true,"usgs":false}],"preferred":false,"id":730231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":730229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruijnzeel, L. Adrian","contributorId":202935,"corporation":false,"usgs":false,"family":"Bruijnzeel","given":"L. Adrian","affiliations":[{"id":36552,"text":"King's College London","active":true,"usgs":false}],"preferred":false,"id":730232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chun, Kwok P.","contributorId":202936,"corporation":false,"usgs":false,"family":"Chun","given":"Kwok","email":"","middleInitial":"P.","affiliations":[{"id":36553,"text":"Hong Kong Baptist University","active":true,"usgs":false}],"preferred":false,"id":730233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176136,"text":"70176136 - 2016 - Complex explosive volcanic activity on the Moon within Oppenheimer crater","interactions":[],"lastModifiedDate":"2019-02-11T08:47:15","indexId":"70176136","displayToPublicDate":"2016-07-31T22:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Complex explosive volcanic activity on the Moon within Oppenheimer crater","docAbstract":"Oppenheimer Crater is a floor-fractured crater located within the South Pole-Aitken basin on the Moon, and exhibits more than a dozen localized pyroclastic deposits associated with the fractures. Localized pyroclastic volcanism on the Moon is thought to form as a result of intermittently explosive Vulcanian eruptions under low effusion rates, in contrast to the higher-effusion rate, Hawaiian-style fire fountaining inferred to form larger regional deposits. We use Lunar Reconnaissance Orbiter Camera images and Diviner Radiometer mid-infrared data, Chandrayaan-1 orbiter Moon Mineralogy Mapper near-infrared spectra, and Clementine orbiter Ultraviolet/Visible camera images to test the hypothesis that the pyroclastic deposits in Oppenheimer crater were emplaced via Vulcanian activity by constraining their composition and mineralogy. Mineralogically, we find that the deposits are variable mixtures of orthopyroxene and minor clinopyroxene sourced from the crater floor, juvenile clinopyroxene, and juvenile iron-rich glass, and that the mineralogy of the pyroclastics varies both across the Oppenheimer deposits as a whole and within individual deposits. We observe similar variability in the inferred iron content of pyroclastic glasses, and note in particular that the northwest deposit, associated with Oppenheimer U crater, contains the most iron-rich volcanic glass thus far identified on the Moon, which could be a useful future resource. We propose that this variability in mineralogy indicates variability in eruption style, and that it cannot be explained by a simple Vulcanian eruption. A Vulcanian eruption should cause significant country rock to be incorporated into the pyroclastic deposit; however, large areas within many of the deposits exhibit spectra consistent with high abundances of juvenile phases and very little floor material. Thus, we propose that at least the most recent portion of these deposits must have erupted via a Strombolian or more continuous fire fountaining eruption, and in some cases may have included an effusive component. These results suggest that localized lunar pyroclastic deposits may have a more complex origin and mode of emplacement than previously thought.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.02.007","usgsCitation":"Bennett, K.A., Horgan, B.H., Gaddis, L.R., Greenhagen, B.T., Allen, C.C., Hayne, P.O., Bell, J., and Paige, D.A., 2016, Complex explosive volcanic activity on the Moon within Oppenheimer crater: Icarus, v. 273, p. 296-314, https://doi.org/10.1016/j.icarus.2016.02.007.","productDescription":"18 p.","startPage":"296","endPage":"314","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067538","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":328021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon, Oppenheimer crater","volume":"273","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6a02ce4b0f2f0cebdafc8","contributors":{"authors":[{"text":"Bennett, Kristen A","contributorId":174122,"corporation":false,"usgs":false,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A","affiliations":[{"id":27362,"text":"ASU SESE","active":true,"usgs":false}],"preferred":false,"id":647421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horgan, Briony H. N.","contributorId":174123,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":27363,"text":"Purdue University, Dept. Earth, Atmospheric, and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":647422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":647420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenhagen, Benjamin T","contributorId":174124,"corporation":false,"usgs":false,"family":"Greenhagen","given":"Benjamin","email":"","middleInitial":"T","affiliations":[{"id":27364,"text":"Johns Hopkins Univ Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":647423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Carlton C.","contributorId":75451,"corporation":false,"usgs":true,"family":"Allen","given":"Carlton","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":647424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayne, Paul O.","contributorId":174125,"corporation":false,"usgs":false,"family":"Hayne","given":"Paul","email":"","middleInitial":"O.","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":647425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bell, James F.","contributorId":174126,"corporation":false,"usgs":false,"family":"Bell","given":"James F.","affiliations":[{"id":27362,"text":"ASU SESE","active":true,"usgs":false}],"preferred":false,"id":647426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paige, David A.","contributorId":107891,"corporation":false,"usgs":true,"family":"Paige","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647427,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175369,"text":"70175369 - 2016 - On the deterministic and stochastic use of hydrologic models","interactions":[],"lastModifiedDate":"2018-04-03T11:39:16","indexId":"70175369","displayToPublicDate":"2016-07-31T08:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"On the deterministic and stochastic use of hydrologic models","docAbstract":"Environmental simulation models, such as precipitation-runoff watershed models, are increasingly used in a deterministic manner for environmental and water resources design, planning, and management. In operational hydrology, simulated responses are now routinely used to plan, design, and manage a very wide class of water resource systems. However, all such models are calibrated to existing data sets and retain some residual error. This residual, typically unknown in practice, is often ignored, implicitly trusting simulated responses as if they are deterministic quantities. In general, ignoring the residuals will result in simulated responses with distributional properties that do not mimic those of the observed responses. This discrepancy has major implications for the operational use of environmental simulation models as is shown here. Both a simple linear model and a distributed-parameter precipitation-runoff model are used to document the expected bias in the distributional properties of simulated responses when the residuals are ignored. The systematic reintroduction of residuals into simulated responses in a manner that produces stochastic output is shown to improve the distributional properties of the simulated responses. Every effort should be made to understand the distributional behavior of simulation residuals and to use environmental simulation models in a stochastic manner.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016WR019129","usgsCitation":"Farmer, W.H., and Vogel, R.M., 2016, On the deterministic and stochastic use of hydrologic models: Water Resources Research, v. 52, no. 7, p. 5619-5633, https://doi.org/10.1002/2016WR019129.","productDescription":"15 p.","startPage":"5619","endPage":"5633","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075481","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470712,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019129","text":"Publisher Index Page"},{"id":438579,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W37TF4","text":"USGS data release","linkHelpText":"Data release in support of &quot;One the Deterministic and Stochastic Use of Hydrologic Models&quot;"},{"id":326189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-31","publicationStatus":"PW","scienceBaseUri":"57a9ad6ae4b05e859bdfba82","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":644942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":644943,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189378,"text":"70189378 - 2016 - Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems","interactions":[],"lastModifiedDate":"2017-07-12T12:41:49","indexId":"70189378","displayToPublicDate":"2016-07-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems","docAbstract":"This report details modeling to: 1) codify flow-ecology relationships for riparian species of the Bill Williams River as operational guidance for water managers, 2) test the guidance under different climate scenarios, and 3) revise the operational guidance as needed to address the effects of climate change. Model applications detailed herein include the River Analysis System (HEC-RAS) and the Ecosystem Functions Model (HEC-EFM), which was used to generate more than three million estimates of local seedling recruitment areas. Areas were aggregated and compared to determine which scenarios generated the most seedling area per unit volume of water. Scenarios that maximized seedling area were grouped into a family of curves that serve as guidance for water managers. This work has direct connections to water management decision-making and builds upon and adds to the rich history of science-based management for the Bill Williams River, Arizona, USA.
","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Hickey, J., Fields, W., Andrew Hautzinger, Sesnie, S., Shafroth, P.B., and Gilbert, D., 2016, Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems, Report: xii, 90 p. .","productDescription":"Report: xii, 90 p. ","startPage":"1","endPage":"90","numberOfPages":"106","ipdsId":"IP-073662","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":343714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343706,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.hec.usace.army.mil/publications/"}],"country":"United States","state":"Arizona ","otherGeospatial":"Bill Williams River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.15206909179688,\n 34.178861487501464\n ],\n [\n -113.499755859375,\n 34.178861487501464\n ],\n [\n -113.499755859375,\n 34.34570381052938\n ],\n [\n -114.15206909179688,\n 34.34570381052938\n ],\n [\n -114.15206909179688,\n 34.178861487501464\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673543e4b0d1f9f05dd7db","contributors":{"authors":[{"text":"Hickey, John","contributorId":194519,"corporation":false,"usgs":false,"family":"Hickey","given":"John","email":"","affiliations":[],"preferred":false,"id":704431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fields, Woodrow","contributorId":194518,"corporation":false,"usgs":false,"family":"Fields","given":"Woodrow","email":"","affiliations":[],"preferred":false,"id":704430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrew Hautzinger","contributorId":194520,"corporation":false,"usgs":false,"family":"Andrew Hautzinger","affiliations":[],"preferred":false,"id":704432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sesnie, Steven","contributorId":194521,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven","email":"","affiliations":[],"preferred":false,"id":704433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":704429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilbert, Dick","contributorId":194522,"corporation":false,"usgs":false,"family":"Gilbert","given":"Dick","email":"","affiliations":[],"preferred":false,"id":704434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173844,"text":"sir20165087 - 2016 - Hydrogeologic investigations of the Miocene Nogales Formation in the Nogales Area, Upper Santa Cruz Basin, Arizona","interactions":[],"lastModifiedDate":"2016-07-28T16:01:20","indexId":"sir20165087","displayToPublicDate":"2016-07-28T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5087","title":"Hydrogeologic investigations of the Miocene Nogales Formation in the Nogales Area, Upper Santa Cruz Basin, Arizona","docAbstract":"Hydrogeologic investigations were conducted to evaluate the groundwater resource potential for the Miocene Nogales Formation in the Nogales area, southern Arizona. Results indicate that parts of the formation may provide new, deeper sources of groundwater for the area. Geologic mapping determined the hydrogeologic framework of the formation by defining lithologic, mineralogic, and stratigraphic characteristics; identifying potential aquifers and confining units; and mapping faults and fractures which likely influence groundwater flow. Geophysical modeling was used to determine the basin geometry and thickness of the Nogales Formation and younger alluvial aquifers and to identify target areas (deep subbasins) which may prove to be productive aquifers.
Volcaniclastic sandstone samples from the formation were analyzed for porosity, bulk density, saturated hydraulic conductivity, and fabric. Effective porosity ranges from 16 to 42 percent, bulk density from 1.6 to 2.47 grams per cubic centimeter, and saturated hydraulic conductivity (SHC) from 4 to 57 centimeters per day (4.9×10-5 to 6.7×10-4 centimeters per second). Thin sections show that sandstone framework grains consist of quartz, feldspar, biotite, hornblende, pumice, volcanic glass, and opaque minerals. The matrix in most samples consists of pumice fragments, and some contain predominantly silt and clay. Samples with a mostly silt and clay matrix have lower porosity and SHC compared to samples with mostly pumice, which have higher and wider ranges of porosity and SHC. Pore space in the Nogales Formation sediments includes moldic, intercrystalline, and fracture porosity. Some intercrystalline pore space is partially filled with calcite cement. About one third of the samples contain fractures, which correspond to fractures noted in outcrops in all members of the formation.
Scanning electron microscope (SEM) and x-ray diffraction (XRD) analyses indicate that most of the samples contained the zeolite clinoptilolite and mixed-layer clay. X-ray diffraction analyses verified clinoptilolite as the only zeolite in Nogales Formation samples; they also verified the presence of smectite and illite clay and some kaolinite. Samples which contain greater amounts of clinoptilolite and lesser amounts of smectite have high porosity and SHC in narrow ranges. However, samples with abundant smectite and lesser amounts of clinoptilolite span the entire ranges of porosity and SHC for the formation.
All members of the Nogales Formation are fractured and faulted as a result of Tertiary Basin and Range extensional deformation, which was broadly contemporaneous with deposition of the formation. These structures may have significant influence on groundwater flow in the upper Santa Cruz basin because, although many of the sediments in the formation have characteristics indicating they may be productive aquifers based only on porous-media flow, fracturing in these sediments may further enhance permeability and groundwater flow in these basin-fill aquifers by orders of magnitude.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165087","usgsCitation":"Page, W.R., Gray, Floyd, Bultman, M.W., and Menges, C.M., 2016, Hydrogeologic investigations of the Miocene Nogales Formation in the Nogales area, upper Santa Cruz basin, Arizona: U.S. Geological Survey Scientific Investigations Report 2016–5087, 31 p., https://dx.doi.org/10.3133/sir20165087.","productDescription":"v, 31 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069611","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":325636,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5087/coverthb.jpg"},{"id":325637,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5087/sir20165087.pdf","text":"Report","size":"55.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5087"}],"country":"United States","state":"Arizona","otherGeospatial":"Nogales Area, Upper Santa Cruz Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.22970581054688,\n 31.33604401284106\n ],\n [\n -111.22970581054688,\n 31.847232251731132\n ],\n [\n -110.70648193359375,\n 31.847232251731132\n ],\n [\n -110.70648193359375,\n 31.33604401284106\n ],\n [\n -111.22970581054688,\n 31.33604401284106\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Center Director, USGS Geosciences and Environmental Change Science Center
Box 25046, Mail Stop 980
Denver, CO 80225
At Gale crater, Mars, ChemCam acquired its first laser-induced breakdown spectroscopy (LIBS) target on Sol 13 of the landed portion of the mission (a Sol is a Mars day). Up to Sol 800, more than 188 000 LIBS spectra were acquired on more than 5800 points distributed over about 650 individual targets. We present a comprehensive review of ChemCam scientific accomplishments during that period, together with a focus on the lessons learned from the first use of LIBS in space. For data processing, we describe new tools that had to be developed to account for the uniqueness of Mars data. With regard to chemistry, we present a summary of the composition range measured on Mars for major-element oxides (SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, K2O) based on various multivariate models, with associated precisions. ChemCam also observed H, and the non-metallic elements C, O, P, and S, which are usually difficult to quantify with LIBS. F and Cl are observed through their molecular lines. We discuss the most relevant LIBS lines for detection of minor and trace elements (Li, Rb, Sr, Ba, Cr, Mn, Ni, and Zn). These results were obtained thanks to comprehensive ground reference datasets, which are set to mimic the expected mineralogy and chemistry on Mars. With regard to the first use of LIBS in space, we analyze and quantify, often for the first time, each of the advantages of using stand-off LIBS in space: no sample preparation, analysis within its petrological context, dust removal, sub-millimeter scale investigation, multi-point analysis, the ability to carry out statistical surveys and whole-rock analyses, and rapid data acquisition. We conclude with a discussion of ChemCam performance to survey the geochemistry of Mars, and its valuable support of decisions about selecting where and whether to make observations with more time and resource-intensive tools in the rover's instrument suite. In the end, we present a bird's-eye view of the many scientific results: discovery of felsic Noachian crust, first observation of hydrated soil, discovery of manganese-rich coatings and fracture fills indicating strong oxidation potential in Mars' early atmosphere, characterization of soils by grain size, and wide scale mapping of sedimentary strata, conglomerates, and diagenetic materials.
Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology. Several tools have been developed to alleviate this data scarcity, but few provide continuous daily streamflow records at individual streamgages within an entire region. Building on the history of hydrologic mapping, ordinary kriging was extended to predict daily streamflow time series on a regional basis. Pooling parameters to estimate a single, time-invariant characterization of spatial semivariance structure is shown to produce accurate reproduction of streamflow. This approach is contrasted with a time-varying series of variograms, representing the temporal evolution and behavior of the spatial semivariance structure. Furthermore, the ordinary kriging approach is shown to produce more accurate time series than more common, single-index hydrologic transfers. A comparison between topological kriging and ordinary kriging is less definitive, showing the ordinary kriging approach to be significantly inferior in terms of Nash–Sutcliffe model efficiencies while maintaining significantly superior performance measured by root mean squared errors. Given the similarity of performance and the computational efficiency of ordinary kriging, it is concluded that ordinary kriging is useful for first-order approximation of daily streamflow time series in ungaged watersheds.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-20-2721-2016","usgsCitation":"Farmer, W.H., 2016, Ordinary kriging as a tool to estimate historical daily streamflow records: Hydrology and Earth System Sciences, v. 20, no. 7, p. 2721-2735, https://doi.org/10.5194/hess-20-2721-2016.","productDescription":"15 p.","startPage":"2721","endPage":"2735","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070177","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-2721-2016","text":"Publisher Index Page"},{"id":325769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-12","publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951cc","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643738,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175056,"text":"70175056 - 2016 - Regional flow duration curves: Geostatistical techniques versus multivariate regression","interactions":[],"lastModifiedDate":"2018-04-03T11:39:27","indexId":"70175056","displayToPublicDate":"2016-07-28T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Regional flow duration curves: Geostatistical techniques versus multivariate regression","docAbstract":"A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical method, Top-kriging, employing a linear weighted average of dimensionless empirical FDCs, standardised with a reference streamflow value; and (2) regional multiple linear regression of streamflow quantiles, perhaps the most common method for the prediction of FDCs at ungauged sites. In particular, Top-kriging relies on a metric for expressing the similarity between catchments computed as the negative deviation of the FDC from a reference streamflow value, which we termed total negative deviation (TND). Comparisons of these two methods are made in 182 largely unregulated river catchments in the southeastern U.S. using a three-fold cross-validation algorithm. Our results reveal that the two methods perform similarly throughout flow-regimes, with average Nash-Sutcliffe Efficiencies 0.566 and 0.662, (0.883 and 0.829 on log-transformed quantiles) for the geostatistical and the linear regression models, respectively. The differences between the reproduction of FDC's occurred mostly for low flows with exceedance probability (i.e. duration) above 0.98.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2016.06.008","usgsCitation":"Pugliese, A., Farmer, W.H., Castellarin, A., Archfield, S.A., and Vogel, R.M., 2016, Regional flow duration curves: Geostatistical techniques versus multivariate regression: Advances in Water Resources, v. 96, p. 11-22, https://doi.org/10.1016/j.advwatres.2016.06.008.","productDescription":"12 p.","startPage":"11","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070176","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951d6","contributors":{"authors":[{"text":"Pugliese, Alessio","contributorId":138746,"corporation":false,"usgs":false,"family":"Pugliese","given":"Alessio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellarin, Attilio","contributorId":138747,"corporation":false,"usgs":false,"family":"Castellarin","given":"Attilio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189760,"text":"70189760 - 2016 - Granitic boulder erosion caused by chaparral wildfire: Implications for cosmogenic radionuclide dating of bedrock surfaces","interactions":[],"lastModifiedDate":"2017-07-24T14:18:59","indexId":"70189760","displayToPublicDate":"2016-07-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Granitic boulder erosion caused by chaparral wildfire: Implications for cosmogenic radionuclide dating of bedrock surfaces","docAbstract":"Rock surface erosion by wildfire is significant and widespread but has not been quantified in southern California or for chaparral ecosystems. Quantifying the surface erosion of bedrock outcrops and boulders is critical for determination of age using cosmogenic radionuclide techniques, as even modest surface erosion removes the accumulation of the cosmogenic radionuclides and causes significant underestimate of age. This study documents the effects on three large granitic boulders following the Esperanza Fire of 2006 in southern California. Spalled rock fragments were quantified by measuring the removed rock volume from each measured boulder. Between 7% and 55% of the total surface area of the boulders spalled in this single fire. The volume of spalled material, when normalized across the entire surface area, represents a mean surface lowering of 0.7–12.3 mm. Spalled material was thicker on the flanks of the boulders, and the height of the fire effects significantly exceeded the height of the vegetation prior to the wildfire. Surface erosion of boulders and bedrock outcrops as a result of wildfire spalling results in fresh surfaces that appear unaffected by chemical weathering. Such surfaces may be preferentially selected by researchers for cosmogenic surface dating because of their fresh appearance, leading to an underestimate of age.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/686273","usgsCitation":"Kendrick, K.J., Camille Partin, and Graham, R.C., 2016, Granitic boulder erosion caused by chaparral wildfire: Implications for cosmogenic radionuclide dating of bedrock surfaces: Journal of Geology, v. 124, no. 4, 11 p. , https://doi.org/10.1086/686273.","productDescription":"11 p. ","ipdsId":"IP-051970","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470719,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20160804-082406738","text":"External Repository"},{"id":344250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.267822265625,\n 32.72721987021932\n ],\n [\n -115.27954101562499,\n 32.72721987021932\n ],\n [\n -115.27954101562499,\n 33.701492795584365\n ],\n [\n -118.267822265625,\n 33.701492795584365\n ],\n [\n -118.267822265625,\n 32.72721987021932\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5977074fe4b0ec1a48889f6d","contributors":{"authors":[{"text":"Kendrick, Katherine J. 0000-0002-9839-6861 kendrick@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-6861","contributorId":2716,"corporation":false,"usgs":true,"family":"Kendrick","given":"Katherine","email":"kendrick@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camille Partin","contributorId":195090,"corporation":false,"usgs":false,"family":"Camille Partin","affiliations":[],"preferred":false,"id":706232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Robert C.","contributorId":195088,"corporation":false,"usgs":false,"family":"Graham","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174012,"text":"70174012 - 2016 - Influence of climate drivers on colonization and extinction dynamics of wetland-dependent species","interactions":[],"lastModifiedDate":"2016-08-02T13:28:37","indexId":"70174012","displayToPublicDate":"2016-07-26T14:30:00","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":"Influence of climate drivers on colonization and extinction dynamics of wetland-dependent species","docAbstract":"Freshwater wetlands are particularly vulnerable to climate change. Specifically, changes in temperature, precipitation, and evapotranspiration (i.e., climate drivers) are likely to alter flooding regimes of wetlands and affect the vital rates, abundance, and distributions of wetland-dependent species. Amphibians may be among the most climate-sensitive wetland-dependent groups, as many species rely on shallow or intermittently flooded wetland habitats for breeding. Here, we integrated multiple years of high-resolution gridded climate and amphibian monitoring data from Grand Teton and Yellowstone National Parks to explicitly model how variations in climate drivers and habitat conditions affect the occurrence and breeding dynamics (i.e., annual extinction and colonization rates) of amphibians. Our results showed that models incorporating climate drivers outperformed models of amphibian breeding dynamics that were exclusively habitat based. Moreover, climate-driven variation in extinction rates, but not colonization rates, disproportionately influenced amphibian occupancy in monitored wetlands. Long-term monitoring from national parks coupled with high-resolution climate data sets will be crucial to describing population dynamics and characterizing the sensitivity of amphibians and other wetland-dependent species to climate change. Further, long-term monitoring of wetlands in national parks will help reduce uncertainty surrounding wetland resources and strengthen opportunities to make informed, science-based decisions that have far-reaching benefits.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1409","usgsCitation":"Ray, A.M., Gould, W., Hossack, B.R., Sepulveda, A.J., Thoma, D.P., Patla, D.A., Daley, R., and Al-Chokhachy, R.K., 2016, Influence of climate drivers on colonization and extinction dynamics of wetland-dependent species: Ecosphere, v. 7, no. 7, https://doi.org/10.1002/ecs2.1409.","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071378","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1409","text":"Publisher Index Page"},{"id":325931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","volume":"7","issue":"7","edition":"Article e01409","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-26","publicationStatus":"PW","scienceBaseUri":"57a1c42fe4b006cb45552c1c","chorus":{"doi":"10.1002/ecs2.1409","url":"http://dx.doi.org/10.1002/ecs2.1409","publisher":"Wiley-Blackwell","authors":"Ray Andrew M., Gould William R., Hossack Blake R., Sepulveda Adam J., Thoma David P., Patla Debra A., Daley Rob, Al-Chokhachy Robert","journalName":"Ecosphere","publicationDate":"7/2016"},"contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":35667,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":640360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoma, David P.","contributorId":45975,"corporation":false,"usgs":true,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":640364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640365,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175237,"text":"70175237 - 2016 - The missing large impact craters on Ceres","interactions":[],"lastModifiedDate":"2016-08-03T09:24:03","indexId":"70175237","displayToPublicDate":"2016-07-26T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"The missing large impact craters on Ceres","docAbstract":"Asteroids provide fundamental clues to the formation and evolution of planetesimals. Collisional models based on the depletion of the primordial main belt of asteroids predict 10–15 craters >400 km should have formed on Ceres, the largest object between Mars and Jupiter, over the last 4.55 Gyr. Likewise, an extrapolation from the asteroid Vesta would require at least 6–7 such basins. However, Ceres’ surface appears devoid of impact craters >~280 km. Here, we show a significant depletion of cerean craters down to 100–150 km in diameter. The overall scarcity of recognizable large craters is incompatible with collisional models, even in the case of a late implantation of Ceres in the main belt, a possibility raised by the presence of ammoniated phyllosilicates. Our results indicate that a significant population of large craters has been obliterated, implying that long-wavelength topography viscously relaxed or that Ceres experienced protracted widespread resurfacing.
","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London","doi":"10.1038/ncomms12257","usgsCitation":"Marchi, S., Ermakov, A., Raymond, C., Fu, R., O’Brien, D., Bland, M.T., Ammannito, E., Sanctis, D., Bowling, T., Schenk, P., Scully, J., Buczkowski, D., Williams, D., Hiesinger, H., and Russell, C., 2016, The missing large impact craters on Ceres: Nature Communications, v. 7, https://doi.org/10.1038/ncomms12257.","startPage":"Article #12257","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073796","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms12257","text":"Publisher Index Page"},{"id":326011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ceres","volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-26","publicationStatus":"PW","scienceBaseUri":"57a315d3e4b006cb45558bb3","contributors":{"authors":[{"text":"Marchi, S.","contributorId":173386,"corporation":false,"usgs":false,"family":"Marchi","given":"S.","affiliations":[{"id":27081,"text":"Southwest Research Inst.","active":true,"usgs":false}],"preferred":false,"id":644471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ermakov, A.","contributorId":173387,"corporation":false,"usgs":false,"family":"Ermakov","given":"A.","affiliations":[{"id":27219,"text":"Massachusetts Inst. of Tech.","active":true,"usgs":false}],"preferred":false,"id":644472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raymond, C.A.","contributorId":50301,"corporation":false,"usgs":false,"family":"Raymond","given":"C.A.","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":644475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fu, R.R.","contributorId":173388,"corporation":false,"usgs":false,"family":"Fu","given":"R.R.","email":"","affiliations":[{"id":27078,"text":"Columbia University, New York","active":true,"usgs":false}],"preferred":false,"id":644473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, D.P.","contributorId":173389,"corporation":false,"usgs":false,"family":"O’Brien","given":"D.P.","email":"","affiliations":[{"id":27220,"text":"Planetary Science Inst.","active":true,"usgs":false}],"preferred":false,"id":644474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":644470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ammannito, E.","contributorId":145550,"corporation":false,"usgs":false,"family":"Ammannito","given":"E.","email":"","affiliations":[{"id":16145,"text":"Italian Space Agency","active":true,"usgs":false}],"preferred":false,"id":644476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanctis, De","contributorId":172139,"corporation":false,"usgs":false,"family":"Sanctis","given":"De","email":"","affiliations":[{"id":26990,"text":"INAF-IAPS Istituto di Astrofisica e Planetologia Spaziali, Rome","active":true,"usgs":false}],"preferred":false,"id":644477,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowling, Tim","contributorId":80002,"corporation":false,"usgs":true,"family":"Bowling","given":"Tim","affiliations":[],"preferred":false,"id":644509,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schenk, P.","contributorId":105484,"corporation":false,"usgs":true,"family":"Schenk","given":"P.","affiliations":[],"preferred":false,"id":644478,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scully, J.E.C.","contributorId":84226,"corporation":false,"usgs":true,"family":"Scully","given":"J.E.C.","email":"","affiliations":[],"preferred":false,"id":644479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Buczkowski, D.L.","contributorId":66512,"corporation":false,"usgs":true,"family":"Buczkowski","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":644480,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Williams, D.A.","contributorId":98048,"corporation":false,"usgs":false,"family":"Williams","given":"D.A.","email":"","affiliations":[{"id":7114,"text":"Arizona State Unviersity","active":true,"usgs":false}],"preferred":false,"id":644510,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hiesinger, H.","contributorId":62808,"corporation":false,"usgs":true,"family":"Hiesinger","given":"H.","affiliations":[],"preferred":false,"id":644481,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Russell, C.T.","contributorId":32275,"corporation":false,"usgs":false,"family":"Russell","given":"C.T.","email":"","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":644482,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70174973,"text":"70174973 - 2016 - Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA","interactions":[],"lastModifiedDate":"2017-11-22T17:30:19","indexId":"70174973","displayToPublicDate":"2016-07-25T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA","docAbstract":"Sagebrush steppe of North America is considered highly imperilled, in part owing to increased fire frequency. Sagebrush ecosystems support numerous species, and it is important to understand those factors that affect rates of post-fire sagebrush recovery. We explored recovery of Wyoming big sagebrush (Artemisia tridentata ssp.wyomingensis) and basin big sagebrush (A. tridentata ssp. tridentata) communities following fire in the northern Columbia Basin (Washington, USA). We sampled plots across 16 fires that burned in big sagebrush communities from 5 to 28 years ago, and also sampled nearby unburned locations. Mixed-effects models demonstrated that density of large–mature big sagebrush plants and percentage cover of big sagebrush were higher with time since fire and in plots with more precipitation during the winter immediately following fire, but were lower when precipitation the next winter was higher than average, especially on soils with higher available water supply, and with greater post-fire mortality of mature big sagebrush plants. Bunchgrass cover 5 to 28 years after fire was predicted to be lower with higher cover of both shrubs and non-native herbaceous species, and only slightly higher with time. Post-fire recovery of big sagebrush in the northern Columbia Basin is a slow process that may require several decades on average, but faster recovery rates may occur under specific site and climate conditions.
","language":"English","publisher":"CSIRO","doi":"10.1071/WF16013","usgsCitation":"Shinneman, D.J., and McIlroy, S., 2016, Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA: International Journal of Wildland Fire, v. 25, no. 9, p. 933-945, https://doi.org/10.1071/WF16013.","productDescription":"13 p.","startPage":"933","endPage":"945","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071151","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":325597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.99243164062501,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 46.13417004624326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f1f","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":643467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":643468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175008,"text":"70175008 - 2016 - Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems","interactions":[],"lastModifiedDate":"2016-12-09T16:27:28","indexId":"70175008","displayToPublicDate":"2016-07-24T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3592,"text":"Theoretical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems","docAbstract":"Theoretical models of populations on a system of two connected patches previously have shown that when the two patches differ in maximum growth rate and carrying capacity, and in the limit of high diffusion, conditions exist for which the total population size at equilibrium exceeds that of the ideal free distribution, which predicts that the total population would equal the total carrying capacity of the two patches. However, this result has only been shown for the Pearl-Verhulst growth function on two patches and for a single-parameter growth function in continuous space. Here, we provide a general criterion for total population size to exceed total carrying capacity for three commonly used population growth rates for both heterogeneous continuous and multi-patch heterogeneous landscapes with high population diffusion. We show that a sufficient condition for this situation is that there is a convex positive relationship between the maximum growth rate and the parameter that, by itself or together with the maximum growth rate, determines the carrying capacity, as both vary across a spatial region. This relationship occurs in some biological populations, though not in others, so the result has ecological implications.
","language":"English","publisher":"Springer","doi":"10.1007/s12080-016-0302-3","usgsCitation":"DeAngelis, D.L., Ming Ni, W., and Zhang, B., 2016, Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems: Theoretical Ecology, v. 9, no. 4, p. 443-453, https://doi.org/10.1007/s12080-016-0302-3.","productDescription":"11 p.","startPage":"443","endPage":"453","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071022","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":325690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"5799db49e4b0589fa1c7e81f","chorus":{"doi":"10.1007/s12080-016-0302-3","url":"http://dx.doi.org/10.1007/s12080-016-0302-3","publisher":"Springer Nature","authors":"DeAngelis D. L., Ni Wei-Ming, Zhang Bo","journalName":"Theoretical Ecology","publicationDate":"5/24/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"5/24/2016"},"contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":643586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ming Ni, Wei","contributorId":173185,"corporation":false,"usgs":false,"family":"Ming Ni","given":"Wei","email":"","affiliations":[{"id":27179,"text":"University of Minnesota, MN, School of Mathematics","active":true,"usgs":false}],"preferred":false,"id":643587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":643588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174294,"text":"ofr20161112 - 2016 - Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California","interactions":[],"lastModifiedDate":"2016-07-25T09:31:11","indexId":"ofr20161112","displayToPublicDate":"2016-07-22T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1112","title":"Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California","docAbstract":"The Amargosa River Canyon, located in the Mojave Desert of southeastern California, contains the longest perennial reach of the Amargosa River. Because of its diverse flora and fauna, it has been designated as an Area of Critical Environmental Concern and a Wild and Scenic River by the Bureau of Land Management. A survey of fishes conducted in summer 2010 indicated that endemic Amargosa River pupfish (Cyprinodon nevadensis amargosae) and speckled dace (Rhinichthys osculus spp.) were abundant and occurred throughout the Amargosa River Canyon. The 2010 survey reported non-native red swamp crayfish (Procambarus clarkii) and western mosquitofish (Gambusia affinis) captures were significantly higher, whereas pupfish captures were lower, in areas dominated by non-native saltcedar (Tamarix ssp.). Based on the 2010 survey, it was hypothesized that the invasion of saltcedar could result in a decrease in native species. In an effort to maintain and enhance native fish populations, the Bureau of Land Management removed saltcedar from a 1,550 meter reach of stream on the Amargosa River in autumn 2014 and autumn 2015. Prior to the removal of saltcedar, a survey of fishes and crayfish using baited minnow traps was conducted in the treatment reach to serve as a baseline for future comparisons with post-saltcedar removal surveys. During the 2014 survey, 1,073 pupfish and 960 speckled dace were captured within the treatment reach. Catch per unit effort of pupfish and speckled dace in the treatment reach was less in 2014 than in 2010, although differences could be owing to seasonal variation in capture probability. Non-native mosquitofish catch per unit effort decreased from 2010 to 2014; however, the catch per unit effort of crayfish increased from 2010 to 2014. Future monitoring efforts of this reach should be conducted at the same time period to account for potential seasonal fluctuations of abundance and distribution of fishes and crayfish. A more robust study design that accounts for variation in capture probability could be implemented to quantify the effects of habitat modifications on abundance of fishes and crayfish.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161112","usgsCitation":"Hereford, M.E., 2016, Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California: U.S. Geological Survey Open-File Report 2016–1112, 18 p., https://dx.doi.org/10.3133/ofr20161112.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073284","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1112/ofr20161112.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1112 Report PDF"},{"id":325572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1112/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Amargosa River Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.22719764709473,\n 35.826930045620486\n ],\n [\n -116.22719764709473,\n 35.8405686232225\n ],\n [\n -116.21895790100099,\n 35.8405686232225\n ],\n [\n -116.21895790100099,\n 35.826930045620486\n ],\n [\n -116.22719764709473,\n 35.826930045620486\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
Space geodetic measurements from the Envisat satellite between 2003 and 2010 show that subsidence rates near the southeastern shoreline of the Salton Sea in Southern California are up to 52mmyr−1 greater than the far-field background rate. By comparing these measurements with model predictions, we find that this subsidence appears to be dominated by poroelastic contraction associated with ongoing geothermal fluid production, rather than the purely fault-related subsidence proposed previously. Using a simple point source model, we suggest that the source of this proposed volumetric strain is at depths between 1.0 km and 2.4 km (95% confidence interval), comparable to generalized boundaries of the Salton Sea geothermal reservoir. We find that fault slip on two previously imaged tectonic structures, which are part of a larger system of faults in the Brawley Seismic Zone, is not an adequate predictor of surface velocity fields because the magnitudes of the best fitting slip rates are often greater than the full plate boundary rate and at least 2 times greater than characteristic sedimentation rates in this region. Large-scale residual velocity anomalies indicate that spatial patterns predicted by fault slip are incompatible with the observations.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JB012903","usgsCitation":"Barbour, A., Evans, E., Hickman, S.H., and Eneva, M., 2016, Subsidence rates at the southern Salton Sea consistent with reservoir depletion: Journal of Geophysical Research B: Solid Earth, v. 121, no. 7, p. 5308-5327, https://doi.org/10.1002/2016JB012903.","productDescription":"20 p.","startPage":"5308","endPage":"5327","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb012903","text":"Publisher Index Page"},{"id":325537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.94970703125,\n 33.53910539867444\n ],\n [\n -115.91262817382812,\n 33.52422366383016\n ],\n [\n -115.87005615234375,\n 33.48414472606364\n ],\n [\n -115.83297729492188,\n 33.44748488908883\n ],\n [\n -115.80963134765625,\n 33.4142485223105\n ],\n [\n -115.77941894531249,\n 33.39361265280212\n ],\n [\n -115.73822021484376,\n 33.37297188262367\n ],\n [\n -115.68740844726561,\n 33.37182502950726\n ],\n [\n -115.62973022460938,\n 33.35232621329064\n ],\n [\n -115.60638427734375,\n 33.31905344502012\n ],\n [\n -115.58029174804686,\n 33.2536182201511\n ],\n [\n -115.57754516601561,\n 33.22030778968541\n ],\n [\n -115.59402465820311,\n 33.173192085918075\n ],\n [\n -115.63796997070312,\n 33.146750228776455\n ],\n [\n -115.6640625,\n 33.109948297894285\n ],\n [\n -115.71212768554688,\n 33.07543248121335\n ],\n [\n -115.75881958007812,\n 33.08233672856376\n ],\n [\n -115.80413818359375,\n 33.12605104079945\n ],\n [\n -115.84259033203124,\n 33.1433007031258\n ],\n [\n -115.8563232421875,\n 33.18583537264943\n ],\n [\n -115.89340209960939,\n 33.23868752757414\n ],\n [\n -115.91949462890624,\n 33.277731642555224\n ],\n [\n -115.95932006835938,\n 33.305281685899445\n ],\n [\n -115.98129272460936,\n 33.33741240611175\n ],\n [\n -116.0211181640625,\n 33.36264966025664\n ],\n [\n -116.06643676757812,\n 33.417687357334934\n ],\n [\n -116.07742309570311,\n 33.45092240742606\n ],\n [\n -116.0980224609375,\n 33.48414472606364\n ],\n [\n -116.09390258789061,\n 33.51849923765608\n ],\n [\n -116.07879638671874,\n 33.5436838786559\n ],\n [\n -116.0540771484375,\n 33.5436838786559\n ],\n [\n -116.00875854492188,\n 33.5436838786559\n ],\n [\n -115.94970703125,\n 33.53910539867444\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"7","noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"57933619e4b0eb1ce79e8bc1","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":643194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eneva, Mariana","contributorId":167022,"corporation":false,"usgs":false,"family":"Eneva","given":"Mariana","email":"","affiliations":[{"id":24596,"text":"Imageair Inc.","active":true,"usgs":false}],"preferred":false,"id":643197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174930,"text":"70174930 - 2016 - Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin","interactions":[],"lastModifiedDate":"2017-05-04T10:01:43","indexId":"70174930","displayToPublicDate":"2016-07-22T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin","docAbstract":"Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its capacity to provide forage for livestock and wildlife and habitat critical to sagebrush obligates. Of particular interest is the greater sage grouse (Centrocercus urophasianus), an obligate whose populations have declined so severely due, in part, to increases in cheatgrass and fires that it was considered for inclusion as an endangered species. Remote sensing technologies and satellite archives help scientists monitor terrestrial vegetation globally, including cheatgrass in the Northern Great Basin. Along with geospatial analysis and advanced spatial modeling, these data and technologies can identify areas susceptible to increased cheatgrass cover and compare these with greater sage grouse priority areas for conservation (PAC). Future climate models forecast a warmer and wetter climate for the Northern Great Basin, which likely will force changing cheatgrass dynamics. Therefore, we examine potential climate-caused changes to cheatgrass. Our results indicate that future cheatgrass percent cover will remain stable over more than 80% of the study area when compared with recent estimates, and higher overall cheatgrass cover will occur with slightly more spatial variability. The land area projected to increase or decrease in cheatgrass cover equals 18% and 1%, respectively, making an increase in fire disturbances in greater sage grouse habitat likely. Relative susceptibility measures, created by integrating cheatgrass percent cover and temporal standard deviation datasets, show that potential increases in future cheatgrass cover match future projections. This discovery indicates that some greater sage grouse PACs for conservation could be at heightened risk of fire disturbance. Multiple factors will affect future cheatgrass cover including changes in precipitation timing and totals and increases in freeze-thaw cycles. Understanding these effects can help direct land management, guide scientific research, and influence policy.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.03.002","usgsCitation":"Boyte, S.P., Wylie, B.K., and Major, D.J., 2016, Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin: Rangeland Ecology and Management, v. 69, no. 4, p. 265-279, https://doi.org/10.1016/j.rama.2016.03.002.","productDescription":"15 p.","startPage":"265","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073690","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":325536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.31103515625,\n 40.17887331434696\n ],\n [\n -121.31103515625,\n 46.42271253466719\n ],\n [\n -109.86328125,\n 46.42271253466719\n ],\n [\n -109.86328125,\n 40.17887331434696\n ],\n [\n -121.31103515625,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"69","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57933613e4b0eb1ce79e8baf","contributors":{"authors":[{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":3463,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":643191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":643192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Donald J.","contributorId":83405,"corporation":false,"usgs":false,"family":"Major","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":643193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174928,"text":"70174928 - 2016 - Variability of bed drag on cohesive beds under wave action","interactions":[],"lastModifiedDate":"2017-05-08T13:57:06","indexId":"70174928","displayToPublicDate":"2016-07-22T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Variability of bed drag on cohesive beds under wave action","docAbstract":"Drag force at the bed acting on water flow is a major control on water circulation and sediment transport. Bed drag has been thoroughly studied in sandy waters, but less so in muddy coastal waters. The variation of bed drag on a muddy shelf is investigated here using field observations of currents, waves, and sediment concentration collected during moderate wind and wave events. To estimate bottom shear stress and the bed drag coefficient, an indirect empirical method of logarithmic fitting to current velocity profiles (log-law), a bottom boundary layer model for combined wave-current flow, and a direct method that uses turbulent fluctuations of velocity are used. The overestimation by the log-law is significantly reduced by taking turbulence suppression due to sediment-induced stratification into account. The best agreement between the model and the direct estimates is obtained by using a hydraulic roughness of 10