{"pageNumber":"161","pageRowStart":"4000","pageSize":"25","recordCount":10465,"records":[{"id":70168378,"text":"70168378 - 2013 - Inferring the relative resilience of alternative states","interactions":[],"lastModifiedDate":"2016-02-15T16:33:15","indexId":"70168378","displayToPublicDate":"2013-10-11T17:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inferring the relative resilience of alternative states","docAbstract":"<p>Ecological systems may occur in alternative states that differ in ecological structures, functions and processes. Resilience is the measure of disturbance an ecological system can absorb before changing states. However, how the intrinsic structures and processes of systems that characterize their states affects their resilience remains unclear. We analyzed time series of phytoplankton communities at three sites in a floodplain in central Spain to assess the dominant frequencies or &ldquo;temporal scales&rdquo; in community dynamics and compared the patterns between a wet and a dry alternative state. The identified frequencies and cross-scale structures are expected to arise from positive feedbacks that are thought to reinforce processes in alternative states of ecological systems and regulate emergent phenomena such as resilience. Our analyses show a higher species richness and diversity but lower evenness in the dry state. Time series modeling revealed a decrease in the importance of short-term variability in the communities, suggesting that community dynamics slowed down in the dry relative to the wet state. The number of temporal scales at which community dynamics manifested, and the explanatory power of time series models, was lower in the dry state. The higher diversity, reduced number of temporal scales and the lower explanatory power of time series models suggest that species dynamics tended to be more stochastic in the dry state. From a resilience perspective our results highlight a paradox: increasing species richness may not necessarily enhance resilience. The loss of cross-scale structure (i.e. the lower number of temporal scales) in community dynamics across sites suggests that resilience erodes during drought. Phytoplankton communities in the dry state are therefore likely less resilient than in the wet state. Our case study demonstrates the potential of time series modeling to assess attributes that mediate resilience. The approach is useful for assessing resilience of alternative states across ecological and other complex systems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS One","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0077338","usgsCitation":"Angeler, D., Allen, C.R., Rojo, C., Alvarez-Cobelas, M., Rodrigo, M.A., and Sanchez-Carrillo, S., 2013, Inferring the relative resilience of alternative states: PLoS ONE, v. 8, no. 10, e77338, https://doi.org/10.1371/journal.pone.0077338.","productDescription":"e77338","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051609","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0077338","text":"Publisher Index Page"},{"id":318032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Las Tablas de Daimiel floodplain wetland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -3.2299804687499996,\n              41.73852846935917\n            ],\n            [\n              -1.69189453125,\n              41.77131167976407\n            ],\n            [\n              -1.2744140625,\n              41.36031866306708\n            ],\n            [\n              -1.2744140625,\n              40.78054143186031\n            ],\n            [\n              -2.04345703125,\n              40.094882122321174\n            ],\n            [\n              -3.40576171875,\n              39.65645604812829\n            ],\n            [\n              -4.5263671875,\n              39.06184913429154\n            ],\n            [\n              -6.08642578125,\n              38.87392853923629\n            ],\n            [\n              -7.250976562499999,\n              39.436192999314095\n            ],\n            [\n              -6.6357421875,\n              40.329795743702064\n            ],\n            [\n              -6.08642578125,\n              40.81380923056958\n            ],\n            [\n              -4.482421875,\n              41.343824581185686\n            ],\n            [\n              -3.2299804687499996,\n              41.73852846935917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"56c304c7e4b0946c652087a4","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":620281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rojo, Carmen","contributorId":166885,"corporation":false,"usgs":false,"family":"Rojo","given":"Carmen","email":"","affiliations":[],"preferred":false,"id":620282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez-Cobelas, Miguel","contributorId":166886,"corporation":false,"usgs":false,"family":"Alvarez-Cobelas","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":620283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodrigo, Maria A.","contributorId":166887,"corporation":false,"usgs":false,"family":"Rodrigo","given":"Maria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez-Carrillo, Salvador","contributorId":166888,"corporation":false,"usgs":false,"family":"Sanchez-Carrillo","given":"Salvador","email":"","affiliations":[],"preferred":false,"id":620285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048761,"text":"70048761 - 2013 - A model of strength","interactions":[],"lastModifiedDate":"2014-05-30T14:43:23","indexId":"70048761","displayToPublicDate":"2013-10-11T07:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A model of strength","docAbstract":"In her AAAS News & Notes piece \"Can the Southwest manage its thirst?\" (26 July, p. 362), K. Wren quotes Ajay Kalra, who advocates a particular method for predicting Colorado River streamflow \"because it eschews complex physical climate models for a statistical data-driven modeling approach.\" A preference for data-driven models may be appropriate in this individual situation, but it is not so generally, Data-driven models often come with a warning against extrapolating beyond the range of the data used to develop the models. When the future is like the past, data-driven models can work well for prediction, but it is easy to over-model local or transient phenomena, often leading to predictive inaccuracy (1). Mechanistic models are built on established knowledge of the process that connects the response variables with the predictors, using information obtained outside of an extant data set. One may shy away from a mechanistic approach when the underlying process is judged to be too complicated, but good predictive models can be constructed with statistical components that account for ingredients missing in the mechanistic analysis. Models with sound mechanistic components are more generally applicable and robust than data-driven models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.342.6155.192","usgsCitation":"Johnson, D.H., and Cook, R., 2013, A model of strength: Science, v. 342, p. 192-193, https://doi.org/10.1126/science.342.6155.192.","productDescription":"2 p.","startPage":"192","endPage":"193","numberOfPages":"2","ipdsId":"IP-051404","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.342.6155.192"}],"volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fc0e4b0120853e8be06","contributors":{"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, R.D.","contributorId":6371,"corporation":false,"usgs":true,"family":"Cook","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":485584,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160888,"text":"70160888 - 2013 - Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","interactions":[],"lastModifiedDate":"2016-01-04T15:23:01","indexId":"70160888","displayToPublicDate":"2013-10-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","docAbstract":"<p>Magnetic anomalies provide surprising structural detail within the previously undivided Coastal Belt, the westernmost, youngest, and least-metamorphosed part of the Franciscan Complex of northern California. Although the Coastal Belt consists almost entirely of arkosic graywacke and shale of mainly Eocene age, new detailed aeromagnetic data show that it is pervasively marked by long, narrow, and regularly spaced anomalies. These anomalies arise from relatively simple tabular bodies composed principally of magnetic basalt or graywacke confi ned mainly to the top couple of kilometers, even though metamorphic grade indicates that these rocks have been more deeply buried, at depths of 5&ndash;8 km. If true, this implies surprisingly uniform uplift of these rocks. The basalt (and associated Cretaceous limestone) occurs largely in the northern part of the Coastal Belt; the graywacke is recognized only in the southern Coastal Belt and is magnetic because it contains andesitic grains. The magnetic grains were not derived from the basalt, and thus require a separate source. The anomalies defi ne simple patterns that can be related to folding and faulting within the Coastal Belt. This apparent simplicity belies complex structure mapped at outcrop scale, which can be explained if the relatively simple tabular bodies are internally deformed, fault-bounded slabs. One mechanism that can explain the widespread lateral extent of the thin layers of basalt is peeling up of the uppermost part of the oceanic crust into the accretionary prism, controlled by porosity and permeability contrasts caused by alteration in the upper part of the subducting slab. It is not clear, however, how this mechanism might generate fault-bounded layers containing magnetic graywacke. We propose that structural domains defined by anomaly trend, wavelength, and source reflect imbrication and folding during the accretion process and local plate interactions as the Mendocino triple junction migrated north, a hypothesis that should be tested by more detailed structural studies.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00942.1","usgsCitation":"Langenheim, V., Jachens, R.C., Wentworth, C.M., and McLaughlin, R.J., 2013, Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data: Geosphere, v. 9, p. 1-17, https://doi.org/10.1130/GES00942.1.","productDescription":"18 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042733","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00942.1","text":"Publisher Index Page"},{"id":313249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coastal Belt of the Franciscan Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.002685546875,\n              41.97582726102573\n            ],\n            [\n              -123.93676757812499,\n              40.70562793820589\n            ],\n            [\n              -123.431396484375,\n              39.26628442213066\n            ],\n            [\n              -122.44262695312501,\n              37.84015683604134\n            ],\n            [\n              -122.6953125,\n              37.83148014503288\n            ],\n            [\n              -123.035888671875,\n              38.09998264736481\n            ],\n            [\n              -123.77197265625,\n              38.90813299596705\n            ],\n            [\n              -123.8818359375,\n              39.842286020743394\n            ],\n            [\n              -124.4091796875,\n              40.23760536584024\n            ],\n            [\n              -124.47509765625,\n              40.65563874006118\n            ],\n            [\n              -124.244384765625,\n              41.03793062246529\n            ],\n            [\n              -124.31030273437499,\n              41.92680320648791\n            ],\n            [\n              -124.002685546875,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568ba5dbe4b0e7594ee776b9","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048525,"text":"70048525 - 2013 - Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","interactions":[],"lastModifiedDate":"2015-12-03T15:06:19","indexId":"70048525","displayToPublicDate":"2013-10-01T14:21:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","docAbstract":"<p>1. Quantifying lake biogeochemical processing at broad spatial scales requires that we scale processes along with physical metrics. Past work has primarily scaled lentic processes using estimates of lake surface area. However, many processes important to lakes, such as material, energy and biological fluxes and biogeochemical cycling, scale with lake perimeter. 2. We estimate the total lake perimeter for the contiguous United States (U.S.) and examine the sensitivity of this estimate to measurement resolution. At the original mapping resolution, lakes in the contiguous U.S. have a total perimeter of over 1.8 million km. 3. The change in measured perimeter versus measurement resolution for the contiguous U.S. had a log-log slope (also known as the fractal dimension) of \u00010.21, generally less than previously reported estimates. With changing observation resolution, total measured perimeter was most sensitive to the inclusion or exclusion of small lakes, not shoreline complexity. 4. The total aquatic&ndash;terrestrial interface in lakes is less than one-tenth that of streams and rivers, which collectively account for over 21 million km of shoreline in the contiguous U.S. This study further describes the distribution of lake perimeter and proposes a technique that can contribute to understanding continental-scale processes.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/fwb.12258","usgsCitation":"Winslow, L., Read, J.S., Hanson, P.C., and Stanley, E.H., 2013, Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution: Freshwater Biology, 11 p., https://doi.org/10.1111/fwb.12258.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051169","costCenters":[],"links":[{"id":473494,"rank":2,"type":{"id":40,"text":"Open 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jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":484959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":484961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":484962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70099618,"text":"70099618 - 2013 - It's time for bold new approaches to link delta science and policymaking","interactions":[],"lastModifiedDate":"2020-12-29T12:33:15.460312","indexId":"70099618","displayToPublicDate":"2013-10-01T13:38:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"It's time for bold new approaches to link delta science and policymaking","docAbstract":"<p>California’s Sacramento–San Joaquin Delta is widely recognized as a highly damaged\necosystem. The Delta is also emblematic of a growing sense worldwide that society\nneeds to do a better job of using scientific knowledge to guide conservation and\nresource management policies. Fortunately, we now have an unprecedented opportunity\nto get it right in building structures that support effective science–policy linkages\nin the Delta. By adopting bold steps to implement a “one Delta, one science” approach\nfor a new Delta Science Plan, California can become a leading example of how to\ntackle the global problem of rapid ecological change and biodiversity loss.</p>\n<br/>\n<p>In this essay, we first describe the current paradox—continued environmental declines\ndespite considerable investments in science and policy actions—and the high stakes of\ngambling with failure. Next, we explore why it is so hard to use scientific knowledge\nto design and implement policies that meet society’s sustainability goals. We then\noutline promising ways to overcome these obstacles, drawing on recent experiences.\nWe conclude with thoughts on how to leverage this experience to develop a bold new\napproach to Delta science.</p>","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2013v11iss3art6","usgsCitation":"Cloern, J.E., and Hanak, E., 2013, It's time for bold new approaches to link delta science and policymaking: San Francisco Estuary and Watershed Science, v. 11, no. 3, 7 p., https://doi.org/10.15447/sfews.2013v11iss3art6.","productDescription":"7 p.","ipdsId":"IP-048889","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2013v11iss3art6","text":"Publisher Index Page"},{"id":381712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5646,38.6515 ], [ -122.5646,37.1915 ], [ -120.9973,37.1915 ], [ -120.9973,38.6515 ], [ -122.5646,38.6515 ] ] ] } } ] }","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-22","publicationStatus":"PW","scienceBaseUri":"535594a8e4b0120853e8c037","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanak, Ellen","contributorId":22674,"corporation":false,"usgs":true,"family":"Hanak","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":491989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184342,"text":"70184342 - 2013 - Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","interactions":[],"lastModifiedDate":"2021-04-05T16:59:54.709044","indexId":"70184342","displayToPublicDate":"2013-10-01T11:56:33","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","docAbstract":"<p>For more than two decades, the paradigm of large-magnitude (~250 km), northwest-directed (~N70°W) Neogene extensional lengthening between the Colorado Plateau and Sierra Nevada at the approximate latitude of Las Vegas has remained largely unchallenged, as has the notion that the strain integrates with coeval strains in adjacent regions and with plate-boundary strain. The paradigm depends on poorly constrained interconnectedness of extreme-case lengthening estimated at scattered localities within the region. Here we evaluate the soundness of the inferred strain interconnectedness over an area reaching 600 km southwest from Beaver, Utah, to Barstow, California, and conclude that lengthening is overestimated in most areas and, even if the estimates are valid, lengthening is not interconnected in a way that allows for published versions of province-wide summations.</p><p>We summarize Neogene strike slip in 13 areas distributed from central Utah to Lake Mead. In general, left-sense shear and associated structures define a broad zone of translation approximately parallel to the eastern boundary of the Basin and Range against the Colorado Plateau, a zone we refer to as the Hingeline shear zone. Areas of steep-axis rotation (ranging to 2500 km<sup>2</sup>) record N-S shortening rather than unevenly distributed lengthening. In most cases, the rotational shortening and extension-parallel folds and thrusts are coupled to, or absorb, strike slip, thus providing valuable insight into how the discontinuous strike-slip faults are simply parts of a broad zone of continuous strain. The discontinuous nature of strike slip and the complex mixture of extensional, contractional, and steep-axis rotational structures in the Hingeline shear zone are similar to those in the Walker Lane belt in the west part of the Basin and Range, and, together, the two record southward displacement of the central and northern Basin and Range relative to the adjacent Colorado Plateau. Understanding this province-scale coupling is critical to understanding major NS shortening and westerly tectonic escape in the Lake Mead area.</p><p>One north-elongate uplift in the Hingeline shear zone is a positive flower structure along a strike-slip fault, and we postulate that most other large uplifts are diapiric, resulting from extension-normal inflow of ductile substrate, rather than second-order isostatic responses to tectonic unloading. We also postulate that large steep-axis rotations, and some small ones as well, result from basal tractions imparted by gradients in southerly directed subjacent ductile flow rather than by shear coupling imparted by laterally variable elongation strains. The shortening strain recorded in the rotations and related structures probably matches or exceeds the magnitude of lengthening, even for the Lake Mead area where we do not question local large (~65 km) west-directed lengthening. We assess the results of extensive recent earth-science research in the Lake Mead area and conclude that previously published models of N-S convergence, westerly tectonic rafting, and N-S occlusion are valid and record unique tectonic escape accommodation for south-directed displacement of the Great Basin sector of the Basin and Range. Genetic ties between the south-directed displacement and plate-interaction forces are elusive, and we suggest the displacement results from body forces inherent in the Basin and Range.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2013.2499(01)","usgsCitation":"Anderson, R.E., Beard, S., Mankinen, E.A., and Hillhouse, J.W., 2013, Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm: Geological Society of America Special Papers , v. 499, p. 1-67, https://doi.org/10.1130/2013.2499(01).","productDescription":"67 p.","startPage":"1","endPage":"67","ipdsId":"IP-041656","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":336973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","city":"Barstow, Beaver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1534,34.8 ], [ -117.1534,38.308351 ], [ -112.61087,38.308351 ], [ -112.61087,34.8 ], [ -117.1534,34.8 ] ] ] } } ] }","volume":"499","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f7e4b014cc3a3ba4cc","contributors":{"authors":[{"text":"Anderson, R. Ernest","contributorId":104484,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Ernest","affiliations":[],"preferred":false,"id":681062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":167711,"corporation":false,"usgs":true,"family":"Beard","given":"Sue","email":"sbeard@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":681060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045854,"text":"70045854 - 2013 - Prescribed-fire effects on an aquatic community of a southwest montane grassland system","interactions":[],"lastModifiedDate":"2013-11-12T10:55:27","indexId":"70045854","displayToPublicDate":"2013-10-01T10:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed-fire effects on an aquatic community of a southwest montane grassland system","docAbstract":"The use of prescription fire has long been recognized as a reliable management tool to suppress vegetative succession processes and to reduce fuel loading to prevent catastrophic wildfires, but very little attention has been paid to the effects on aquatic systems. A late-fall prescribed burn was implemented to characterize effects on an aquatic community within a montane grassland system in north-central New Mexico. The fire treatment was consistent with protocols of a managed burn except that the fire was allowed to burn through the riparian area to the treatment stream to replicate natural fire behavior. In addition to summer and fall preburn assessment of the treatment and reference stream, we characterized immediate postfire effects (within a week for macroinvertebrates and within 6 months for fish) and seasonal effects over a 2-year period. Responses within the treatment stream were compared with an unburned reference stream adjacent to the prescription burn. During the burn, the diel range in air temperature increased by 5°C while diel range in water temperature did not change. Carbon–nitrogen ratios did not differ between treatment and reference streams, indicating the contribution of ash from the surrounding grassland was negligible. Although total taxa and species richness of aquatic macroinvertebrates were not altered, qualitative indices revealed departure from preburn condition due to loss of sensitive taxa (mayflies [order Ephemeroptera] and stoneflies [order Plecoptera]) and an increase in tolerant taxa (midges [order Chironomidae]) following the burn. Within 1 year of the burn, these attributes returned to preburn conditions. The density and recruitment of adult Brown Trout Salmo trutta did not differ between pre- and postburn collections, nor did fish condition differ. Fire is rarely truly replicated within a given study. Although our study represents one replication, the results will inform managers about the importance in timing (seasonality) of prescription burn and anticipated effects on aquatic communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.824934","usgsCitation":"Caldwell, C.A., Jacobi, G.Z., Anderson, M.C., Parmenter, R.R., McGann, J., Gould, W., DuBey, R., and Jacobi, M.D., 2013, Prescribed-fire effects on an aquatic community of a southwest montane grassland system: North American Journal of Fisheries Management, v. 33, no. 5, p. 1049-1062, https://doi.org/10.1080/02755947.2013.824934.","productDescription":"14 p.","startPage":"1049","endPage":"1062","numberOfPages":"14","ipdsId":"IP-040830","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":279004,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.824934"},{"id":279006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.622314,35.827 ], [ -106.622314,36.009395 ], [ -106.398983,36.009395 ], [ -106.398983,35.827 ], [ -106.622314,35.827 ] ] ] } } ] }","volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-03","publicationStatus":"PW","scienceBaseUri":"52835c24e4b047efbbb4ae62","contributors":{"authors":[{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, Gerald Z.","contributorId":86837,"corporation":false,"usgs":true,"family":"Jacobi","given":"Gerald","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":478434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael C.","contributorId":38887,"corporation":false,"usgs":true,"family":"Anderson","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parmenter, Robert R.","contributorId":88643,"corporation":false,"usgs":true,"family":"Parmenter","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGann, Jeanine","contributorId":76637,"corporation":false,"usgs":true,"family":"McGann","given":"Jeanine","email":"","affiliations":[],"preferred":false,"id":478433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":478432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuBey, Robert","contributorId":60113,"corporation":false,"usgs":true,"family":"DuBey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":478431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobi, M. Donna","contributorId":6365,"corporation":false,"usgs":true,"family":"Jacobi","given":"M.","email":"","middleInitial":"Donna","affiliations":[],"preferred":false,"id":478429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046084,"text":"70046084 - 2013 - Effect of correlated observation error on parameters, predictions, and uncertainty","interactions":[],"lastModifiedDate":"2018-04-02T15:33:11","indexId":"70046084","displayToPublicDate":"2013-10-01T10:00:00","publicationYear":"2013","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":"Effect of correlated observation error on parameters, predictions, and uncertainty","docAbstract":"Correlations among observation errors are typically omitted when calculating observation weights for model calibration by inverse methods. We explore the effects of omitting these correlations on estimates of parameters, predictions, and uncertainties. First, we develop a new analytical expression for the difference in parameter variance estimated with and without error correlations for a simple one-parameter two-observation inverse model. Results indicate that omitting error correlations from both the weight matrix and the variance calculation can either increase or decrease the parameter variance, depending on the values of error correlation (ρ) and the ratio of dimensionless scaled sensitivities (r<sub>dss</sub>). For small ρ, the difference in variance is always small, but for large ρ, the difference varies widely depending on the sign and magnitude of r<sub>dss</sub>. Next, we consider a groundwater reactive transport model of denitrification with four parameters and correlated geochemical observation errors that are computed by an error-propagation approach that is new for hydrogeologic studies. We compare parameter estimates, predictions, and uncertainties obtained with and without the error correlations. Omitting the correlations modestly to substantially changes parameter estimates, and causes both increases and decreases of parameter variances, consistent with the analytical expression. Differences in predictions for the models calibrated with and without error correlations can be greater than parameter differences when both are considered relative to their respective confidence intervals. These results indicate that including observation error correlations in weighting for nonlinear regression can have important effects on parameter estimates, predictions, and their respective uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20499","usgsCitation":"Tiedeman, C.R., and Green, C.T., 2013, Effect of correlated observation error on parameters, predictions, and uncertainty: Water Resources Research, v. 49, no. 10, p. 6339-6355, https://doi.org/10.1002/wrcr.20499.","productDescription":"17 p.","startPage":"6339","endPage":"6355","numberOfPages":"17","onlineOnly":"Y","ipdsId":"IP-045884","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20499","text":"Publisher Index Page"},{"id":278960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20499"}],"volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"527e5869e4b02d2057dd95d2","contributors":{"authors":[{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":478854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":478853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058671,"text":"70058671 - 2013 - Cutthroat trout virus as a surrogate in vitro infection model for testing inhibitors of hepatitis E virus replication","interactions":[],"lastModifiedDate":"2013-12-12T09:27:20","indexId":"70058671","displayToPublicDate":"2013-10-01T09:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":820,"text":"Antiviral Research","active":true,"publicationSubtype":{"id":10}},"title":"Cutthroat trout virus as a surrogate in vitro infection model for testing inhibitors of hepatitis E virus replication","docAbstract":"Hepatitis E virus (HEV) is one of the most important causes of acute hepatitis worldwide. Although most infections are self-limiting, mortality is particularly high in pregnant women. Chronic infections can occur in transplant and other immune-compromised patients. Successful treatment of chronic hepatitis E has been reported with ribavirin and pegylated interferon-alpha, however severe side effects were observed. We employed the cutthroat trout virus (CTV), a non-pathogenic fish virus with remarkable similarities to HEV, as a potential surrogate for HEV and established an antiviral assay against this virus using the Chinook salmon embryo (CHSE-214) cell line. Ribavirin and the respective trout interferon were found to efficiently inhibit CTV replication. Other known broad-spectrum inhibitors of RNA virus replication such as the nucleoside analog 2′-C-methylcytidine resulted only in a moderate antiviral activity. In its natural fish host, CTV levels largely fluctuate during the reproductive cycle with the virus detected mainly during spawning. We wondered whether this aspect of CTV infection may serve as a surrogate model for the peculiar pathogenesis of HEV in pregnant women. To that end the effect of three sex steroids on in vitro CTV replication was evaluated. Whereas progesterone resulted in marked inhibition of virus replication, testosterone and 17β-estradiol stimulated viral growth. Our data thus indicate that CTV may serve as a surrogate model for HEV, both for antiviral experiments and studies on the replication biology of the Hepeviridae.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Antiviral Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.antiviral.2013.07.013","usgsCitation":"Debing, Y., Winton, J., Neyts, J., and Dallmeier, K., 2013, Cutthroat trout virus as a surrogate in vitro infection model for testing inhibitors of hepatitis E virus replication: Antiviral Research, v. 100, no. 1, p. 98-101, https://doi.org/10.1016/j.antiviral.2013.07.013.","productDescription":"4 p.","startPage":"98","endPage":"101","numberOfPages":"4","ipdsId":"IP-044728","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473513,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://linkinghub.elsevier.com/retrieve/pii/S0166-3542(13)00200-3","text":"External Repository"},{"id":280263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280251,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.antiviral.2013.07.013"}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd539de4b0b290850f53f8","contributors":{"authors":[{"text":"Debing, Yannick","contributorId":38462,"corporation":false,"usgs":true,"family":"Debing","given":"Yannick","email":"","affiliations":[],"preferred":false,"id":487245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James","contributorId":53897,"corporation":false,"usgs":true,"family":"Winton","given":"James","affiliations":[],"preferred":false,"id":487248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neyts, Johan","contributorId":48082,"corporation":false,"usgs":true,"family":"Neyts","given":"Johan","email":"","affiliations":[],"preferred":false,"id":487246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dallmeier, Kai","contributorId":52480,"corporation":false,"usgs":true,"family":"Dallmeier","given":"Kai","email":"","affiliations":[],"preferred":false,"id":487247,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047452,"text":"70047452 - 2013 - Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency","interactions":[],"lastModifiedDate":"2014-01-24T09:27:16","indexId":"70047452","displayToPublicDate":"2013-10-01T08:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency","docAbstract":"Runoff during intense rainstorms plays a major role in generating debris flows in many alpine areas and burned steeplands. Yet compared to debris flow initiation from shallow landslides, the mechanics by which runoff generates a debris flow are less understood. To better understand debris flow initiation by surface water runoff, we monitored flow stage and rainfall associated with debris flows in the headwaters of two small catchments: a bedrock-dominated alpine basin in central Colorado (0.06 km<sup>2</sup>) and a recently burned area in southern California (0.01 km<sup>2</sup>). We also obtained video footage of debris flow initiation and flow dynamics from three cameras at the Colorado site. Stage observations at both sites display distinct patterns in debris flow surge characteristics relative to rainfall intensity (I). We observe small, quasiperiodic surges at low I; large, quasiperiodic surges at intermediate I; and a single large surge followed by small-amplitude fluctuations about a more steady high flow at high I. Video observations of surge formation lead us to the hypothesis that these flow patterns are controlled by upstream variations in channel slope, in which low-gradient sections act as “sediment capacitors,” temporarily storing incoming bed load transported by water flow and periodically releasing the accumulated sediment as a debris flow surge. To explore this hypothesis, we develop a simple one-dimensional morphodynamic model of a sediment capacitor that consists of a system of coupled equations for water flow, bed load transport, slope stability, and mass flow. This model reproduces the essential patterns in surge magnitude and frequency with rainfall intensity observed at the two field sites and provides a new framework for predicting the runoff threshold for debris flow initiation in a burned or alpine setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrf.20148","usgsCitation":"Kean, J.W., McCoy, S.W., Tucker, G., Staley, D.M., and Coe, J.A., 2013, Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency: Journal of Geophysical Research F: Earth Surface, v. 118, no. 4, p. 2190-2207, https://doi.org/10.1002/jgrf.20148.","productDescription":"18 p.","startPage":"2190","endPage":"2207","numberOfPages":"18","ipdsId":"IP-050012","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":279014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279012,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20148"}],"country":"United States","state":"California;Colorado","otherGeospatial":"Arroyo Seco;Chalk Cliffs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.23,34.08 ], [ -118.23,39.08 ], [ -105.79,39.08 ], [ -105.79,34.08 ], [ -118.23,34.08 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"52835c25e4b047efbbb4ae75","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":482065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Scott W.","contributorId":94954,"corporation":false,"usgs":true,"family":"McCoy","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":482067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":482066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":482064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148111,"text":"70148111 - 2013 - Spatial and temporal variation in efficiency of the Moore egg collector","interactions":[],"lastModifiedDate":"2015-06-02T11:02:23","indexId":"70148111","displayToPublicDate":"2013-10-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation in efficiency of the Moore egg collector","docAbstract":"<p><span>The Moore egg collector (MEC) was developed for quantitative and nondestructive capture of semibuoyant fish eggs. Previous studies have indicated that capture efficiency of the MEC was low and the use of one device did not adequately represent the spatial distribution within the water column of egg surrogates (gellan beads) of pelagic broadcast-spawning cyprinids. The objective of this study was to assess whether use of multiple MECs showed differences in spatial and temporal distribution of bead catches. Capture efficiency of three MECs was tested at four 500-m sites on the South Canadian River, a Great Plains river in Oklahoma. For each trial, approximately 100,000 beads were released and mean capture efficiency was 0.47&ndash;2.16%. Kolmogorov&ndash;Smirnov tests indicated the spatial distributions of bead catches were different among multiple MECs at three of four sites. Temporal variability in timing of peak catches of gellan beads was also evident between MECs. We concluded that the use of multiple MECs is necessary to properly sample eggs of pelagic broadcast-spawning cyprinids.</span></p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2013.824939","usgsCitation":"Worthington, T.A., Brewer, S.K., and Farless, N., 2013, Spatial and temporal variation in efficiency of the Moore egg collector: North American Journal of Fisheries Management, v. 33, no. 6, p. 1113-1118, https://doi.org/10.1080/02755947.2013.824939.","productDescription":"6 p.","startPage":"1113","endPage":"1118","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045928","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"South Canadian River","geographicExtents":"{\n  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,{"id":70150419,"text":"70150419 - 2013 - Links between riparian landcover, instream environment and fish assemblages in headwater streams of south-eastern Brazil","interactions":[],"lastModifiedDate":"2015-06-24T14:03:36","indexId":"70150419","displayToPublicDate":"2013-10-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Links between riparian landcover, instream environment and fish assemblages in headwater streams of south-eastern Brazil","docAbstract":"<p><span>We hypothesised and tested a hierarchical organisation model where riparian landcover would influence bank composition and light availability, which in turn would influence instream environments and control fish assemblages. The study was conducted during the dry season in 11 headwater tributaries of the Sorocaba River in the upper Paran&aacute; River Basin, south-eastern Brazil. We focused on seven environmental factors each represented by one or multiple environmental variables and seven fish functional traits each represented by two or more classes. Multivariate direct gradient analyses suggested that riparian zone landcover can be considered a higher level causal factor in a network of relations that control instream characteristics and fish assemblages. Our results provide a framework for a hierarchical conceptual model that identifies singular and collective influences of variables from different scales on each other and ultimately on different aspects related to stream fish functional composition. This conceptual model is focused on the relationships between riparian landcover and instream variables as causal factors on the organisation of stream fish assemblages. Our results can also be viewed as a model for headwater stream management in that landcover can be manipulated to influence factors such as bank composition, substrates and water quality, whereas fish assemblage composition can be used as indicators to monitor the success of such efforts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12065","usgsCitation":"Cruz, B.B., Miranda, L.E., and Cetra, M., 2013, Links between riparian landcover, instream environment and fish assemblages in headwater streams of south-eastern Brazil: Ecology of Freshwater Fish, v. 22, no. 4, p. 607-616, https://doi.org/10.1111/eff.12065.","productDescription":"10 p.","startPage":"607","endPage":"616","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040676","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Sorocaba River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -47.669677734375,\n              -23.61432859499169\n            ],\n            [\n              -47.669677734375,\n              -23.35486416841885\n            ],\n            [\n              -47.23297119140625,\n              -23.35486416841885\n            ],\n            [\n              -47.23297119140625,\n              -23.61432859499169\n            ],\n            [\n              -47.669677734375,\n              -23.61432859499169\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-06","publicationStatus":"PW","scienceBaseUri":"558bd4bbe4b0b6d21dd65310","contributors":{"authors":[{"text":"Cruz, Bruna B.","contributorId":97129,"corporation":false,"usgs":true,"family":"Cruz","given":"Bruna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":556826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cetra, Mauricio","contributorId":143697,"corporation":false,"usgs":false,"family":"Cetra","given":"Mauricio","email":"","affiliations":[],"preferred":false,"id":556827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048396,"text":"70048396 - 2013 - Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie","interactions":[],"lastModifiedDate":"2013-09-26T15:17:30","indexId":"70048396","displayToPublicDate":"2013-09-25T09:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie","docAbstract":"Manayunkia speciosa has been a taxonomic curiosity for 150 years with little interest until 1977 when it was identified as an intermediate host of a fish parasite (Ceratomyxa shasta) responsible for fish mortalities (e.g., chinook salmon). Manayunkia was first reported in the Great Lakes in 1929. Since its discovery, the taxon has been reported in 50% (20 of 40 studies) of benthos studies published between 1960 and 2007. When found, Manayunkia comprised < 1% of benthos in 70% of examined studies. In one extensive study, Manayunkia occurred in only 26% of 378 sampled events (1991–2009). The taxon was found at higher densities in one area of Lake Erie (mean = 3658/m<sup>2</sup>) and Georgian Bay (1790/m<sup>2</sup>) than in five other areas (mean = 60 to 553/m<sup>2</sup>) of the lakes. A 70-year history of Manayunkia in western Lake Erie indicates it was not found in 1930, was most abundant in 1961 (mean = 8039, maximum = 67,748/m<sup>2</sup>), and decreased in successive periods of 1982 (3529, 49,639/m<sup>2</sup>), 1993 (1876, 25,332/m<sup>2</sup>), and 2003 (79, 2583/m<sup>2</sup>). It occurred at 48% of stations in 1961, 58% in 1982, 52% in 1993, and 6% of stations in 2003. In all years, Manayunkia was distributed primarily near the mouth of the Detroit River. Causes for declines in distribution and abundance are unknown, but may be related to pollution-abatement programs that began in the 1970s, and invasion of dreissenid mussels in the late-1980s which contributed to de-eutrophication of western Lake Erie. At present, importance of the long-term decline of Manayunkia in Lake Erie is unknown.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.03.006","usgsCitation":"Schloesser, D.W., 2013, Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie: Journal of Great Lakes Research, v. 39, no. 2, p. 308-316, https://doi.org/10.1016/j.jglr.2013.03.006.","productDescription":"9 p.","startPage":"308","endPage":"316","ipdsId":"IP-044493","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278153,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.006"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,0.0011111111111111111 ], [ -95,0.001388888888888889 ], [ -73,0.001388888888888889 ], [ -73,0.0011111111111111111 ], [ -95,0.0011111111111111111 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52455763e4b0b3d37307e177","contributors":{"authors":[{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048400,"text":"sir20135117 - 2013 - Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2013-09-25T09:01:14","indexId":"sir20135117","displayToPublicDate":"2013-09-25T08:57:00","publicationYear":"2013","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":"2013-5117","title":"Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"<p>Fish Creek, an approximately 25-kilometer-long tributary to Snake River, is located in Teton County in western Wyoming near the town of Wilson. Fish Creek is an important water body because it is used for irrigation, fishing, and recreation and adds scenic value to the Jackson Hole properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey conducted a study in cooperation with the Teton Conservation District to characterize the hydrology, water quality, and biologic communities of Fish Creek during 2007–11.</p>\n</br>\n<p>The hydrology of Fish Creek is strongly affected by groundwater contributions from the area known as the Snake River west bank, which lies east of Fish Creek and west of Snake River. Because of this continuous groundwater discharge to the creek, land-use activities in the west bank area can affect the groundwater quality. Evaluation of nitrate isotopes and dissolved-nitrate concentrations in groundwater during the study indicated that nitrate was entering Fish Creek from groundwater, and that the source of nitrate was commonly a septic/sewage effluent or manure source, or multiple sources, potentially including artificial nitrogen fertilizers, natural soil organic matter, and mixtures of sources.</p>\n</br>\n<p>Concentrations of dissolved nitrate and orthophosphate, which are key nutrients for growth of aquatic plants, generally were low in Fish Creek and occasionally were less than reporting levels (not detected). One potential reason for the low nutrient concentrations is that nutrients were being consumed by aquatic plant life that increases during the summer growing season, as a result of the seasonal increase in temperature and larger number of daylight hours.</p>\n</br>\n<p>Several aspects of Fish Creek’s hydrology contribute to higher productivity and biovolume of aquatic plants in Fish Creek than typically observed in streams of its size in Wyoming. Especially in the winter, the proportionately large, continuous gain of groundwater into Fish Creek in the perennial section keeps most of the creek free of ice. Because sunlight can still reach the streambed in Fish Creek and the water is still flowing, aquatic plants continue to photosynthesize in the winter, albeit at a lower level of productivity. Additionally, the cobble and large gravel substrate in Fish Creek provides excellent attachment points for aquatic plants, and when combined with Fish Creek’s channel stability allows rapid growth of aquatic plants once conditions allow during the spring.</p>\n</br>\n<p>The aquatic plant community of Fish Creek was different than most streams in Wyoming in that it contains many different macrophytes—including macroalgae such as long streamers of <i>Cladophora</i>, aquatic vascular plants, and moss; most other streams in the state contain predominantly algae. From the banks of Fish Creek, the bottom of the stream sometimes appeared to be a solid green carpet. A shift was observed from higher amounts of microalgae in April/May to higher amounts macrophytes in August and October, and differences in the relative abundance of microalgae and macrophytes were statistically significant between seasons.</p>\n</br>\n<p>Differences in dissolved-nitrate concentrations and in the nitrogen-to-phosphorus ratio were significantly different between seasons, as concentrations of dissolved nitrate decreased from April/May to August and October. It is likely that dissolved-nitrate concentrations in Fish Creek were lower in August and October because macrophytes were quickly utilizing the nutrient, and a negative correlation between macro-phytes and nitrate was found.</p>\n</br>\n<p>Macroinvertebrates also were sampled because of their role as indicators of water quality and their documented responses to perturbation such as degradation of water quality and habitat. Statistically significant seasonal differences were noted in the macroinvertebrate community. Taxa richness and relative abundance of Ephemeroptera, Plecoptera, and Trichoptera, which tend to be intolerant of water-quality degradation, decreased from April/May to August; the same time period saw a corresponding increase in Diptera and noninsects, particularly Oligochaeta (worms) that are more tolerant.</p>\n</br>\n<p>Seasonal changes in macroinvertebrate functional feeding groups were significantly different. The relative abundance of gatherer-collector and scraper feeding groups decreased from April/May to August, accompanied by an increase in filterer-collector and shredders feeding groups. Seasonal changes in feeding groups might be due to the seasonal shift in aquatic plant communities, as indicated by comparison with other streams in the area that had fewer aquatic macrophytes than Fish Creek. Statistical tests of macroinvertebrate metrics indicated few differences between years or biological sampling sites on Fish Creek, although the site farthest upstream sometimes was different not only in terms of macroinvertebrates but also in streamflow, water quality, and aquatic plants.</p>\n</br>\n<p>Potential effects of contributions of additional nutrients to the Fish Creek ecosystem beyond the conditions sampled during the study period are not known. However, because virtually all of the detectable dissolved nitrate commonly was consumed by aquatic plants in August (leaving dissolved nitrate less than the reporting level in water samples), it is possible that increased nutrient contributions could cause increased growth of aquatic plants. Additional long-term monitoring of the stream, with concurrent data analysis and interpretation would be needed to determine the effects of additional nutrients on the aquatic plant community and on higher levels of the food chain.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135117","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Peterson, D.A., Wheeler, J.D., Edmiston, C.S., Taylor, M.L., and Leemon, D.J., 2013, Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Scientific Investigations Report 2013-5117, Report: x, 76 p.; Downloads Directory, https://doi.org/10.3133/sir20135117.","productDescription":"Report: x, 76 p.; Downloads Directory","numberOfPages":"90","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-042351","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135117.gif"},{"id":278055,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5117/"},{"id":278056,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5117/pdf/sir2013-5117.pdf"},{"id":278057,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5117/downloads/"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.045942,43.409662 ], [ -111.045942,43.899253 ], [ -110.359812,43.899253 ], [ -110.359812,43.409662 ], [ -111.045942,43.409662 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f7cfe4b05b217bad9fe9","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmiston, C. Scott","contributorId":30595,"corporation":false,"usgs":true,"family":"Edmiston","given":"C.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":484531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Michelle L.","contributorId":35206,"corporation":false,"usgs":true,"family":"Taylor","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048364,"text":"70048364 - 2013 - Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis","interactions":[],"lastModifiedDate":"2013-09-23T16:19:07","indexId":"70048364","displayToPublicDate":"2013-09-23T16:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis","docAbstract":"Diatoms and silicoflagellate assemblages were examined in two year-increments of varved samples spanning the interval from 1748 through 2007 in Santa Barbara Basin (SBB) box core SBBC0806 to determine the timing and impact of possible 20th century warming on several different components of the plankton. Diatoms (Thalassionema nitzschioides =TN) and silicoflagellates (Distephanus speculum s.l. =DS) indicative of cooler waters and a shallow thermocline begin to decline in the 1920s and persistently compose a lower percentage of the assemblage in the SBB by about 1940.  Prior to 1940, TN constituted on average ~30% of the Chaetoceros-free diatom sediment assemblage and DS on average ~36% of the silicoflagellate assemblage.  Between 1940 and 1996 these relative abundances were ~20% (TN) and ~8% (DS).  These results are consistent with results from planktonic foraminifera and radiolarians that indicate an influence of 20th century warming on marine ecosystems before most scientific observations began.  Cooling of surface waters coincident with the one of the strongest La Niña events of the 20th century (and a return to negative PDO conditions) in late 1998 brought about a return to pre-1940 values of these cool water taxa (TN ~31%, DS ~25%).  However, this recent regional cooling appears to have been accompanied by profound changes in the diatom assemblage.  Pseudo-nitzschia australis, and Pseudo-nitzschia multiseries, diatom species associated with domoic acid, a neurotoxin that causes shellfish poisoning and marine mammal deaths, rapidly became dominant in the SBB sediment record at the time of the regional cooling (1999) and increased substantially in numbers as a bloom-forming taxon (relative to Chaetoceros spores) in 2003.  Prior to 2003 diatom blooms recorded in the SBB sediment record consisted predominantly of Chaetoceros spores and less commonly of Rhizosolenia-related species (Neocalyptrella robusta and R. setigera). Fecal pellets dominated by valves of P. australis, however, were particularly abundant in both the 2003 and 2006 samples, coincident with recorded incidents of domoic acid increase and widespread shellfish poisoning in the SBB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2012.07.002","usgsCitation":"Barron, J.A., Bukry, D., Field, D.B., and Finney, B., 2013, Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis: Quaternary International, v. 310, p. 140-154, https://doi.org/10.1016/j.quaint.2012.07.002.","productDescription":"15 p.","startPage":"140","endPage":"154","ipdsId":"IP-039021","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":278019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2012.07.002"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.89,19.86 ], [ -130.89,50.03 ], [ -109.85,50.03 ], [ -109.85,19.86 ], [ -130.89,19.86 ] ] ] } } ] }","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fbe4b0ec672f073abf","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":484427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":484428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, David B.","contributorId":77036,"corporation":false,"usgs":true,"family":"Field","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finney, Bruce","contributorId":59715,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce","affiliations":[],"preferred":false,"id":484429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048355,"text":"70048355 - 2013 - Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","interactions":[],"lastModifiedDate":"2016-09-22T12:36:32","indexId":"70048355","displayToPublicDate":"2013-09-23T11:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","docAbstract":"Marine surface waters are being acidified due to uptake of anthropogenic carbon dioxide, resulting in surface ocean areas of undersaturation with respect to carbonate minerals, including aragonite. In the Arctic Ocean, acidification is expected to occur at an accelerated rate with respect to the global oceans, but a paucity of baseline data has limited our understanding of the extent of Arctic undersaturation and of regional variations in rates and causes. The lack of data has also hindered refinement of models aimed at projecting future trends of ocean acidification. Here, based on more than 34,000 data records collected in 2010 and 2011, we establish a baseline of inorganic carbon data (pH, total alkalinity, dissolved inorganic carbon, partial pressure of carbon dioxide, and aragonite saturation index) for the western Arctic Ocean. This data set documents aragonite undersaturation in ~20% of the surface waters of the combined Canada and Makarov basins, an area characterized by recent acceleration of sea ice loss. Conservative tracer studies using stable oxygen isotopic data from 307 sites show that while the entire surface of this area receives abundant freshwater from meteoric sources, freshwater from sea ice melt is most closely linked to the areas of carbonate mineral undersaturation. These data link the Arctic Ocean’s largest area of aragonite undersaturation to sea ice melt and atmospheric CO<sub>2</sub> absorption in areas of low buffering capacity. Some relatively supersaturated areas can be linked to localized biological activity. Collectively, these observations can be used to project trends of ocean acidification in higher latitude marine surface waters where inorganic carbon chemistry is largely influenced by sea ice meltwater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0073796","usgsCitation":"Robbins, L.L., Wynn, J.G., Lisle, J.T., Yates, K.K., Knorr, P.O., Byrne, R., Liu, X., Patsavas, M.C., Azetsu-Scott, K., and Takahashi, T., 2013, Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite: PLoS ONE, v. 8, no. 9, 15 p., https://doi.org/10.1371/journal.pone.0073796.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-036765","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0073796","text":"Publisher Index Page"},{"id":278003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0073796"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.9,66.5 ], [ -166.9,77.3 ], [ -105.2,77.3 ], [ -105.2,66.5 ], [ -166.9,66.5 ] ] ] } } ] }","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"524154f9e4b0ec672f073aaf","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan G.","contributorId":92960,"corporation":false,"usgs":true,"family":"Wynn","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":484403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":484401,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":484402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patsavas, Mark C.","contributorId":99881,"corporation":false,"usgs":true,"family":"Patsavas","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Azetsu-Scott, Kumiko","contributorId":78636,"corporation":false,"usgs":true,"family":"Azetsu-Scott","given":"Kumiko","email":"","affiliations":[],"preferred":false,"id":484400,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Taro","contributorId":55319,"corporation":false,"usgs":true,"family":"Takahashi","given":"Taro","email":"","affiliations":[],"preferred":false,"id":484399,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048327,"text":"70048327 - 2013 - On the absolute calibration of SO<sub>2</sub> cameras","interactions":[],"lastModifiedDate":"2013-09-23T11:20:15","indexId":"70048327","displayToPublicDate":"2013-09-22T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"On the absolute calibration of SO<sub>2</sub> cameras","docAbstract":"Sulphur dioxide emission rate measurements are an important tool for volcanic monitoring and eruption risk assessment. The SO<sub>2</sub> camera technique remotely measures volcanic emissions by analysing the ultraviolet absorption of SO<sub>2</sub> in a narrow spectral window between 300 and 320 nm using solar radiation scattered in the atmosphere. The SO<sub>2</sub> absorption is selectively detected by mounting band-pass interference filters in front of a two-dimensional, UV-sensitive CCD detector. One important step for correct SO<sub>2</sub> emission rate measurements that can be compared with other measurement techniques is a correct calibration. This requires conversion from the measured optical density to the desired SO<sub>2</sub> column density (CD). The conversion factor is most commonly determined by inserting quartz cells (cuvettes) with known amounts of SO<sub>2</sub> into the light path. Another calibration method uses an additional narrow field-of-view Differential Optical Absorption Spectroscopy system (NFOVDOAS), which measures the column density simultaneously in a small area of the camera’s field-of-view. This procedure combines the very good spatial and temporal resolution of the SO<sub>2</sub> camera technique with the more accurate column densities obtainable from DOAS measurements.\nThis work investigates the uncertainty of results gained through the two commonly used, but quite different, calibration methods (DOAS and calibration cells). Measurements with three different instruments, an SO<sub>2</sub> camera, a NFOVDOAS system and an Imaging DOAS (I-DOAS), are presented. We compare the calibration-cell approach with the calibration from the NFOV-DOAS system. The respective results are compared with measurements from an I-DOAS to verify the calibration curve over the spatial extent of the image. The results show that calibration cells, while working fine in some cases, can lead to an overestimation of the SO<sub>2</sub> CD by up to 60% compared with CDs from the DOAS measurements. Besides these errors of calibration, radiative transfer effects (e.g. light dilution, multiple scattering) can significantly influence the results of both instrument types. The measurements presented in this work were taken at Popocatepetl, Mexico, between 1 March 2011 and 4 March 2011. Average SO<sub>2</sub> emission rates between 4.00 and 14.34 kg s<sup>−1</sup> were observed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Measurement Techniques","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Atmospheric Measurement Techniques","doi":"10.5194/amt-6-677-2013","usgsCitation":"Lubcke, P., Bobrowski, N., Illing, S., Kern, C., Alvarez Nieves, J.M., Vogel, L., Zielcke, J., Delgados Granados, H., and Platt, U., 2013, On the absolute calibration of SO<sub>2</sub> cameras: Atmospheric Measurement Techniques, v. 6, p. 677-696, https://doi.org/10.5194/amt-6-677-2013.","productDescription":"20 p.","startPage":"677","endPage":"696","numberOfPages":"20","ipdsId":"IP-042811","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-6-677-2013","text":"Publisher Index Page"},{"id":278000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/amt-6-677-2013"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2013-03-14","publicationStatus":"PW","scienceBaseUri":"524162e7e4b0ec672f073af2","contributors":{"authors":[{"text":"Lubcke, Peter","contributorId":56141,"corporation":false,"usgs":false,"family":"Lubcke","given":"Peter","email":"","affiliations":[],"preferred":false,"id":484333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bobrowski, Nicole","contributorId":45214,"corporation":false,"usgs":true,"family":"Bobrowski","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":484332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Illing, Sebastian","contributorId":24676,"corporation":false,"usgs":true,"family":"Illing","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":484328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":484327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez Nieves, Jose Manuel","contributorId":90199,"corporation":false,"usgs":true,"family":"Alvarez Nieves","given":"Jose","email":"","middleInitial":"Manuel","affiliations":[],"preferred":false,"id":484334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogel, Leif","contributorId":37632,"corporation":false,"usgs":true,"family":"Vogel","given":"Leif","email":"","affiliations":[],"preferred":false,"id":484331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zielcke, Johannes","contributorId":107599,"corporation":false,"usgs":true,"family":"Zielcke","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":484335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delgados Granados, Hugo","contributorId":32439,"corporation":false,"usgs":true,"family":"Delgados Granados","given":"Hugo","email":"","affiliations":[],"preferred":false,"id":484330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Platt, Ulrich","contributorId":26609,"corporation":false,"usgs":true,"family":"Platt","given":"Ulrich","affiliations":[],"preferred":false,"id":484329,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70125709,"text":"70125709 - 2013 - Recovery of a top predator mediates negative eutrophic effects on seagrass","interactions":[],"lastModifiedDate":"2014-09-18T11:12:10","indexId":"70125709","displayToPublicDate":"2013-09-17T11:07:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of a top predator mediates negative eutrophic effects on seagrass","docAbstract":"A fundamental goal of the study of ecology is to determine the drivers of habitat-forming vegetation, with much emphasis given to the relative importance to vegetation of “bottom-up” forces such as the role of nutrients and “top-down” forces such as the influence of herbivores and their predators. For coastal vegetation (e.g., kelp, seagrass, marsh, and mangroves) it has been well demonstrated that alterations to bottom-up forcing can cause major disturbances leading to loss of dominant vegetation. One such process is anthropogenic nutrient loading, which can lead to major changes in the abundance and species composition of primary producers, ultimately affecting important ecosystem services. In contrast, much less is known about the relative importance of apex predators on coastal vegetated ecosystems because most top predator populations have been depleted or lost completely. Here we provide evidence that an unusual four-level trophic cascade applies in one such system, whereby a top predator mitigates the bottom-up influences of nutrient loading. In a study of seagrass beds in an estuarine ecosystem exposed to extreme nutrient loading, we use a combination of a 50-y time series analysis, spatial comparisons, and mesocosm and field experiments to demonstrate that sea otters (<i>Enhydra lutris</i>) promote the growth and expansion of eelgrass (<i>Zostera marina</i>) through a trophic cascade, counteracting the negative effects of agriculturally induced nutrient loading. Our results add to a small but growing body of literature illustrating that significant interactions between bottom-up and top-down forces occur, in this case with consequences for the conservation of valued ecosystem services provided by seagrass.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1302805110","usgsCitation":"Hughes, B., Eby, R., Van Dyke, E., Tinker, M.T., Marks, C.I., Johnson, K., and Wasson, K., 2013, Recovery of a top predator mediates negative eutrophic effects on seagrass: Proceedings of the National Academy of Sciences, v. 110, no. 38, p. 15313-15318, https://doi.org/10.1073/pnas.1302805110.","productDescription":"6 p.","startPage":"15313","endPage":"15318","numberOfPages":"6","ipdsId":"IP-050808","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473540,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1302805110","text":"External Repository"},{"id":294130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294068,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1302805110"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.806236,36.796855 ], [ -121.806236,36.814723 ], [ -121.774222,36.814723 ], [ -121.774222,36.796855 ], [ -121.806236,36.796855 ] ] ] } } ] }","volume":"110","issue":"38","noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"541bf44de4b0e96537ddf825","contributors":{"authors":[{"text":"Hughes, Brent B.","contributorId":23463,"corporation":false,"usgs":true,"family":"Hughes","given":"Brent B.","affiliations":[],"preferred":false,"id":501630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eby, Ron","contributorId":92595,"corporation":false,"usgs":true,"family":"Eby","given":"Ron","affiliations":[],"preferred":false,"id":501633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Dyke, Eric","contributorId":57384,"corporation":false,"usgs":true,"family":"Van Dyke","given":"Eric","email":"","affiliations":[],"preferred":false,"id":501632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marks, Corina I.","contributorId":13558,"corporation":false,"usgs":true,"family":"Marks","given":"Corina","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":501629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Kenneth S.","contributorId":31541,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth S.","affiliations":[],"preferred":false,"id":501631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wasson, Kerstin","contributorId":8398,"corporation":false,"usgs":true,"family":"Wasson","given":"Kerstin","affiliations":[],"preferred":false,"id":501628,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70125370,"text":"70125370 - 2013 - Two new species of <i>Isospora</i> (Apicomplexa: Eimeriidae) from skinks <i>Emoia</i> spp. (Sauria: Scincidae), from Fiji and Papua New Guinea","interactions":[],"lastModifiedDate":"2014-09-17T10:46:19","indexId":"70125370","displayToPublicDate":"2013-09-17T10:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Two new species of <i>Isospora</i> (Apicomplexa: Eimeriidae) from skinks <i>Emoia</i> spp. (Sauria: Scincidae), from Fiji and Papua New Guinea","docAbstract":"Between September and October 1991 and again during September 1992, skinks (<i>Emoia</i> spp.) were collected from various localities on Fiji and Papua New Guinea (PNG) and examined for coccidians. One of 4 (25%) De Vis' emo skinks (<i>Emoia pallidiceps</i>) from PNG harbored an undescribed species of <i>Isospora</i> in its feces. Oocysts of <i>Isospora grinbikpelapalai</i> n. sp. were ellipsoidal to subspheroidal, 18.1 × 14.9 (17–20 × 14–16) μm, with a bilayered wall and a length/width index (L/W) of 1.2. Both micropyle and oocyst residuum were absent, but a prominent polar granule was present. Sporocysts were ovoidal, 10.7 × 7.6 (10–11 × 7–8) μm, with a L/W index of 1.4. Stieda and sub-Stieda bodies were present, but para-Stieda bodies were absent. The sporocyst residuum consisted of large scattered globules dispersed between sporozoites. Sporozoites were elongate with spheroidal anterior and posterior refractile bodies. <i>Isospora grinbikpelapalai</i> was also found in 1 of 2 (50%) Pope's emo skinks (<i>Emoia popei</i>) from PNG. One of 13 (8%) white-bellied copper-striped skinks (<i>Emoia cyanura</i>), from Fiji, was passing another undescribed species of <i>Isospora</i> in its feces. Oocysts of <i>Isospora casei</i> n. sp. were elongate, 31.8 × 21.3 (28–35 × 18–24) μm, with a bilayered wall and a L/W index of 1.5. Micropyle, oocyst residuum, and polar granule were all absent. Sporocysts were ovoidal, 15.3 × 10.6 (14–16 × 10–12) μm, with a L/W index of 1.4. Stieda and sub-Stieda bodies were present, but para-Stieda bodies were absent. The sporocyst residuum consisted of scattered globules among sporozoites or as a cluster surrounding sporozoites. Sporozoites were elongate with spheroidal anterior and posterior refractile bodies. <i>Isospora casei</i> was also found in 1 of 2 (50%) Fiji slender treeskinks (<i>Emoia concolor</i>) from Fiji. This represents the first report of coccidia from <i>Emoia</i> spp. and, to our knowledge, the initial documentation of reptilian coccidia from herpetofauna from Papua New Guinea.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Parasitology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/12-171.1","usgsCitation":"McAllister, C.T., Duszynski, D.W., and Fisher, R.N., 2013, Two new species of <i>Isospora</i> (Apicomplexa: Eimeriidae) from skinks <i>Emoia</i> spp. (Sauria: Scincidae), from Fiji and Papua New Guinea: Journal of Parasitology, v. 99, no. 4, p. 677-679, https://doi.org/10.1645/12-171.1.","productDescription":"3 p.","startPage":"677","endPage":"679","ipdsId":"IP-045072","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293962,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/12-171.1"}],"country":"Fiji;Papa New Guinea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 140.84,-20.67 ], [ 140.84,-0.87 ], [ -178.23,-0.87 ], [ -178.23,-20.67 ], [ 140.84,-20.67 ] ] ] } } ] }","volume":"99","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541aa2aae4b01571b3d51d38","contributors":{"authors":[{"text":"McAllister, Chris T.","contributorId":22704,"corporation":false,"usgs":true,"family":"McAllister","given":"Chris","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":501337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duszynski, Donald W.","contributorId":87869,"corporation":false,"usgs":true,"family":"Duszynski","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":501338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501336,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045871,"text":"70045871 - 2013 - The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream","interactions":[],"lastModifiedDate":"2018-02-21T17:40:46","indexId":"70045871","displayToPublicDate":"2013-09-11T10:55:56","publicationYear":"2013","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":"The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream","docAbstract":"Given projected increases in stream temperatures attributable to global change, improved understanding of relationships between stream temperatures and hyporheic exchange would be useful. We conducted two conservative tracer injection experiments in a glacial meltwater stream, to evaluate the effects of hyporheic thermal gradients on exchange processes, including preferential flow paths (PFPs). The experiments were conducted on the same day, the first (a stream injection) during a cool, morning period and the second (dual stream and hyporheic injections) during a warm, afternoon period. In the morning, the hyporheic zone was thermally uniform at 4°C, whereas by the afternoon the upper 10 cm had warmed to 6–12°C and exhibited greater temperature heterogeneity. Solute transport modeling showed that hyporheic cross-sectional areas (A<sub>s</sub>) at two downstream sites were two and seven times lower during the warm experiment. Exchange metrics indicated that the hyporheic zone had less influence on downstream solute transport during the warm, afternoon experiment. Calculated hyporheic depths were less than 5 cm, contrasting with tracer detection at 10 and 25 cm depths. The hyporheic tracer arrival at one downstream site was rapid, comparable to the in-stream tracer arrival, providing evidence for PFPs. We thus propose a conceptual view of the hyporheic zone in this reach as being dominated by discrete PFPs weaving through hydraulically isolated areas. One explanation for the simultaneous increase in temperature heterogeneity and A<sub>s</sub> decrease in a warmer hyporheic zone may be a flow path preferentiality feedback mechanism resulting from a combination of temperature-related viscosity decreases and streambed heterogeneity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20410","usgsCitation":"Cozzetto, K.D., Bencala, K.E., Gooseff, M.N., and McKnight, D.M., 2013, The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream: Water Resources Research, v. 49, no. 9, p. 5552-5569, https://doi.org/10.1002/wrcr.20410.","productDescription":"18 p.","startPage":"5552","endPage":"5569","numberOfPages":"18","ipdsId":"IP-045473","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":280980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280977,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20410"}],"otherGeospatial":"Antarctica;Mcmurdo Dry Valleys;Transantarctic Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 162.849,-77.6898 ], [ 162.849,-77.5593 ], [ 163.493,-77.5593 ], [ 163.493,-77.6898 ], [ 162.849,-77.6898 ] ] ] } } ] }","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"53cd7819e4b0b2908510bee7","contributors":{"authors":[{"text":"Cozzetto, Karen D.","contributorId":44461,"corporation":false,"usgs":true,"family":"Cozzetto","given":"Karen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":478464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":478467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":478465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70123871,"text":"70123871 - 2013 - A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","interactions":[],"lastModifiedDate":"2014-09-10T11:36:43","indexId":"70123871","displayToPublicDate":"2013-09-10T11:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","docAbstract":"A central challenge of conservation biology is using limited data to predict rare species occurrence and identify conservation areas that play a disproportionate role in regional persistence. Where species occupy discrete patches in a landscape, such predictions require data about environmental quality of individual patches and the connectivity among high quality patches. We present a novel extension to species occupancy modeling that blends traditionalpredictions of individual patch environmental quality with network analysis to estimate connectivity characteristics using limited survey data. We demonstrate this approach using environmental and geospatial attributes to predict observed occupancy patterns of the Yosemite toad (<i>Anaxyrus (= Bufo) canorus</i>) across >2,500 meadows in Yosemite National Park (USA). <i>A. canorus</i>, a Federal Proposed Species, breeds in shallow water associated with meadows. Our generalized linear model (GLM) accurately predicted ~84% of true presence-absence data on a subset of data withheld for testing. The predicted environmental quality of each meadow was iteratively ‘boosted’ by the quality of neighbors within dispersal distance. We used this park-wide meadow connectivity network to estimate the relative influence of an individual Meadow’s ‘environmental quality’ versus its ‘network quality’ to predict: a) clusters of high quality breeding meadows potentially linked by dispersal, b) breeding meadows with high environmental quality that are isolated from other such meadows, c) breeding meadows with lower environmental quality where long-term persistence may critically depend on the network neighborhood, and d) breeding meadows with the biggest impact on park-wide breeding patterns. Combined with targeted data on dispersal, genetics, disease, and other potential stressors, these results can guide designation of core conservation areas for <i>A. canorus</i> in Yosemite National Park.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PlosOne","doi":"10.1371/journal.pone.0072200","usgsCitation":"Berlow, E.L., Knapp, R.A., Ostoja, S.M., Williams, R.J., McKenny, H., Matchett, J.R., Guo, Q., Fellers, G.M., Kleeman, P., Brooks, M.L., and Joppa, L., 2013, A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>): PLoS ONE, v. 8, no. 8, e72200, https://doi.org/10.1371/journal.pone.0072200.","productDescription":"e72200","ipdsId":"IP-042749","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0072200","text":"Publisher Index Page"},{"id":293606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0072200"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.886496,37.494762 ], [ -119.886496,38.185228 ], [ -119.195416,38.185228 ], [ -119.195416,37.494762 ], [ -119.886496,37.494762 ] ] ] } } ] }","volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-12","publicationStatus":"PW","scienceBaseUri":"541165bfe4b0fe7e184a5550","contributors":{"authors":[{"text":"Berlow, Eric L.","contributorId":91416,"corporation":false,"usgs":false,"family":"Berlow","given":"Eric","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knapp, Roland A.","contributorId":69901,"corporation":false,"usgs":false,"family":"Knapp","given":"Roland","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard J.","contributorId":34443,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenny, Heather","contributorId":103193,"corporation":false,"usgs":true,"family":"McKenny","given":"Heather","affiliations":[],"preferred":false,"id":500438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, John R. 0000-0002-2905-6468 jmatchett@usgs.gov","orcid":"https://orcid.org/0000-0002-2905-6468","contributorId":1669,"corporation":false,"usgs":true,"family":"Matchett","given":"John","email":"jmatchett@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guo, Qinghau","contributorId":35248,"corporation":false,"usgs":true,"family":"Guo","given":"Qinghau","email":"","affiliations":[],"preferred":false,"id":500433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kleeman, Patrick","contributorId":101608,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","affiliations":[],"preferred":false,"id":500437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500428,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Joppa, Lucas","contributorId":66606,"corporation":false,"usgs":true,"family":"Joppa","given":"Lucas","affiliations":[],"preferred":false,"id":500434,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70123881,"text":"70123881 - 2013 - Soil Seed Bank Responses to Postfire Herbicide and Native Seeding Treatments Designed to Control Bromus tectorum in a Pinyon–Juniper Woodland at Zion National Park, USA","interactions":[],"lastModifiedDate":"2014-09-10T10:33:54","indexId":"70123881","displayToPublicDate":"2013-09-10T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Soil Seed Bank Responses to Postfire Herbicide and Native Seeding Treatments Designed to Control Bromus tectorum in a Pinyon–Juniper Woodland at Zion National Park, USA","docAbstract":"The continued threat of an invasive, annual brome (<i>Bromus</i>) species in the western United States has created the need for integrated approaches to postfire restoration. Additionally, the high germination rate, high seed production, and seed bank carryover of annual bromes points to the need to assay soil seed banks as part of monitoring programs. We sampled the soil seed bank to help assess the effectiveness of treatments utilizing the herbicide Plateau® (imazapic) and a perennial native seed mix to control annual <i>Bromus</i> species and enhance perennial native plant establishment following a wildfire in Zion National Park, Utah. This study is one of few that have monitored the effects of imazapic and native seeding on a soil seed bank community and the only one that we know of that has done so in a pinyon–juniper woodland. The study made use of untreated, replicated controls, which is not common for seed bank studies. One year posttreatment, <i>Bromus</i> was significantly reduced in plots sprayed with herbicide. By the second year posttreatment, the effects of imazapic were less evident and convergence with the controls was evident. Emergence of seeded species was low for the duration of the study. Dry conditions and possible interactions with imazapic probably contributed to the lack of emergence of seeded native species. The perennial grass sand dropseed outperformed the other species included in the seed mix. We also examined how the treatments affected the soil seed bank community as a whole. We found evidence that the herbicide was reducing several native annual forbs and one nonnative annual forb. However, overall effects on the community were not significant. The results of our study were similar to what others have found in that imazapic is effective in providing a short-term reduction in Bromus density, although it can impact emergence of nontarget species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Invasive Plant Science and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-12-00048.1","usgsCitation":"Brooks, M.L., Hondo Brisbin, G.S., Andrea Thode, P., and Karen Weber, G.S., 2013, Soil Seed Bank Responses to Postfire Herbicide and Native Seeding Treatments Designed to Control Bromus tectorum in a Pinyon–Juniper Woodland at Zion National Park, USA: Invasive Plant Science and Management, v. 6, no. 1, p. 118-129, https://doi.org/10.1614/IPSM-D-12-00048.1.","productDescription":"12 p.","startPage":"118","endPage":"129","ipdsId":"IP-038938","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293570,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-D-12-00048.1"}],"country":"United States","state":"Utah","otherGeospatial":"Zion National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.228285,37.14135 ], [ -113.228285,37.504284 ], [ -112.863147,37.504284 ], [ -112.863147,37.14135 ], [ -113.228285,37.14135 ] ] ] } } ] }","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"541165c5e4b0fe7e184a556f","contributors":{"authors":[{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondo Brisbin, graduate student","contributorId":93832,"corporation":false,"usgs":true,"family":"Hondo Brisbin","given":"graduate","email":"","middleInitial":"student","affiliations":[],"preferred":false,"id":500452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrea Thode, Professor","contributorId":48110,"corporation":false,"usgs":true,"family":"Andrea Thode","given":"Professor","email":"","affiliations":[],"preferred":false,"id":500451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karen Weber, graduate student","contributorId":23857,"corporation":false,"usgs":true,"family":"Karen Weber","given":"graduate","email":"","middleInitial":"student","affiliations":[],"preferred":false,"id":500450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048056,"text":"70048056 - 2013 - A new model for the growth of basaltic shields based on deformation of Fernandina volcano, Galápagos Islands","interactions":[],"lastModifiedDate":"2013-09-10T10:27:11","indexId":"70048056","displayToPublicDate":"2013-09-10T10:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"A new model for the growth of basaltic shields based on deformation of Fernandina volcano, Galápagos Islands","docAbstract":"Space-geodetic measurements of surface deformation produced by the most recent eruptions at Fernandina – the most frequently erupting volcano in the Galápagos Archipelago – reveal that all have initiated with the intrusion of subhorizontal sills from a shallow magma reservoir. This includes eruptions from fissures that are oriented both radially and circumferentially with respect to the summit caldera. A Synthetic Aperture Radar (SAR) image acquired 1–2 h before the start of a radial fissure eruption in 2009 captures one of these sills in the midst of its propagation toward the surface. Galápagos eruptive fissures of all orientations have previously been presumed to be fed by vertical dikes, and this assumption has guided models of the origin of the eruptive fissure geometry and overall development of the volcanoes. Our findings allow us to reinterpret the internal structure and evolution of Galápagos volcanoes and of similar basaltic shields. Furthermore, we note that stress changes generated by the emplacement of subhorizontal sills feeding one type of eruption may control the geometry of subsequent eruptive fissures. Specifically, circumferential fissures tend to open within areas uplifted by sill intrusions that initiated previous radial fissure eruptions. This mechanism provides a possible explanation for the pattern of eruptive fissures that characterizes all the western Galápagos volcanoes, as well as the alternation between radial and circumferential fissure eruptions at Fernandina. The same model suggests that the next eruption of Fernandina will be from a circumferential fissure in the area uplifted by the 2009 sill intrusion, just southwest of the caldera rim.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.07.016","usgsCitation":"Bagnardi, M., Amelung, F., and Poland, M., 2013, A new model for the growth of basaltic shields based on deformation of Fernandina volcano, Galápagos Islands: Earth and Planetary Science Letters, v. 377-378, p. 358-366, https://doi.org/10.1016/j.epsl.2013.07.016.","productDescription":"9 p.","startPage":"358","endPage":"366","numberOfPages":"9","ipdsId":"IP-048920","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2013.07.016"}],"country":"Ecuador","state":"Galápagos Islands","otherGeospatial":"Fernandina Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.666077,-0.514632 ], [ -91.666077,-0.256913 ], [ -91.36665,-0.256913 ], [ -91.36665,-0.514632 ], [ -91.666077,-0.514632 ] ] ] } } ] }","volume":"377-378","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5230314fe4b04b8e63a205fc","contributors":{"authors":[{"text":"Bagnardi, Marco","contributorId":62106,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","affiliations":[],"preferred":false,"id":483679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amelung, Falk","contributorId":83569,"corporation":false,"usgs":true,"family":"Amelung","given":"Falk","affiliations":[],"preferred":false,"id":483680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":483678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048015,"text":"70048015 - 2013 - Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","interactions":[],"lastModifiedDate":"2013-09-06T09:19:16","indexId":"70048015","displayToPublicDate":"2013-09-06T09:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota","docAbstract":"Hydrologic manipulations have the potential to exacerbate or remediate eutrophication in productive reservoirs. Dam operations at Kabetogama Lake, Minnesota, were modified in 2000 to restore a more natural water regime and improve water quality. The US Geological Survey and National Park Service evaluated nutrient, algae, and nuisance bloom data in relation to changes in Kabetogama Lake water levels. Comparison of the results of this study to previous studies indicates that chlorophyll a concentrations have decreased, whereas total phosphorus (TP) concentrations have not changed significantly since 2000. Water and sediment quality data were collected at Voyageurs National Park during 2008–2009 to assess internal phosphorus loading and determine whether loading is a factor affecting TP concentrations and algal productivity. Kabetogama Lake often was mixed vertically, except for occasional stratification measured in certain areas, including Lost Bay in the northeastern part of Kabetogama Lake. Stratification, higher bottom water and sediment nutrient concentrations than in other parts of the lake, and phosphorus release rates estimated from sediment core incubations indicated that Lost Bay is one of several areas that may be contributing to internal loading. Internal loading of TP is a concern because increased TP may cause excessive algal growth including potentially toxic cyanobacteria.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.831148","usgsCitation":"Christensen, V.G., Maki, R., and Kiesling, R.L., 2013, Evaluation of internal loading and water level changes: implications for phosphorus, algal production, and nuisance blooms in Kabetogama Lake, Voyageurs National Park, Minnesota: Lake and Reservoir Management, v. 29, no. 3, p. 202-215, https://doi.org/10.1080/10402381.2013.831148.","productDescription":"14 p.","startPage":"202","endPage":"215","numberOfPages":"14","ipdsId":"IP-043981","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":473552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.831148","text":"Publisher Index Page"},{"id":277356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277355,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10402381.2013.831148"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park;Kabetogama Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.128616,48.402901 ], [ -93.128616,48.53329 ], [ -92.785409,48.53329 ], [ -92.785409,48.402901 ], [ -93.128616,48.402901 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb68e4b08fd0132e793d","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":483602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047933,"text":"70047933 - 2013 - Threatened and endangered subspecies with vulnerable ecological traits Also have high susceptibility to sea level rise and habitat fragmentation","interactions":[],"lastModifiedDate":"2013-10-30T12:38:36","indexId":"70047933","displayToPublicDate":"2013-09-03T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Threatened and endangered subspecies with vulnerable ecological traits Also have high susceptibility to sea level rise and habitat fragmentation","docAbstract":"The presence of multiple interacting threats to biodiversity and the increasing rate of species extinction make it critical to prioritize management efforts on species and communities that maximize conservation success. We implemented a multi-step approach that coupled vulnerability assessments evaluating threats to Florida taxa such as climate change, sea-level rise, and habitat fragmentation with in-depth literature surveys of taxon-specific ecological traits. The vulnerability, adaptive capacity, and ecological traits of 12 threatened and endangered subspecies were compared to non-listed subspecies of the same parent species. Overall, the threatened and endangered subspecies showed high vulnerability and low adaptive capacity, in particular to sea level rise and habitat fragmentation. They also exhibited larger home ranges and greater dispersal limitation compared to non-endangered subspecies, which may inhibit their ability to track changing climate in fragmented landscapes. There was evidence for lower reproductive capacity in some of the threatened or endangered taxa, but not for most. Taxa located in the Florida Keys or in other low coastal areas were most vulnerable to sea level rise, and also showed low levels of adaptive capacity, indicating they may have a lower probability of conservation success. Our analysis of at-risk subspecies and closely related non-endangered subspecies demonstrates that ecological traits help to explain observed differences in vulnerability and adaptive capacity. This study points to the importance of assessing the relative contributions of multiple threats and evaluating conservation value at the species (or subspecies) level when resources are limited and several factors affect conservation success.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0070647","usgsCitation":"Benscoter, A., Reece, J.S., Noss, R.F., Brandt, L.B., Mazzotti, F., Romañach, S., and Watling, J., 2013, Threatened and endangered subspecies with vulnerable ecological traits Also have high susceptibility to sea level rise and habitat fragmentation: PLoS ONE, v. 8, no. 8, 10, https://doi.org/10.1371/journal.pone.0070647.","productDescription":"10","numberOfPages":"10","ipdsId":"IP-042177","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0070647","text":"Publisher Index Page"},{"id":277227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277226,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0070647"}],"volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-05","publicationStatus":"PW","scienceBaseUri":"5226f6e2e4b01904cf5a815b","contributors":{"authors":[{"text":"Benscoter, Allison M.","contributorId":81399,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison M.","affiliations":[],"preferred":false,"id":483331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reece, Joshua S.","contributorId":84654,"corporation":false,"usgs":true,"family":"Reece","given":"Joshua","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":483332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noss, Reed F. 0000-0003-2997-4688","orcid":"https://orcid.org/0000-0003-2997-4688","contributorId":98615,"corporation":false,"usgs":true,"family":"Noss","given":"Reed","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":483333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura B.","contributorId":32437,"corporation":false,"usgs":true,"family":"Brandt","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":483330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":483334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watling, James I.","contributorId":101963,"corporation":false,"usgs":true,"family":"Watling","given":"James I.","affiliations":[],"preferred":false,"id":483335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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