{"pageNumber":"907","pageRowStart":"22650","pageSize":"25","recordCount":165533,"records":[{"id":70226533,"text":"70226533 - 2017 - Bedrock geology of DFDP-2B, central Alpine Fault, New Zealand","interactions":[],"lastModifiedDate":"2021-11-23T14:11:41.867427","indexId":"70226533","displayToPublicDate":"2017-10-17T07:26:31","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2869,"text":"New Zealand Journal of Geology and Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Bedrock geology of DFDP-2B, central Alpine Fault, New Zealand","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>During the second phase of the Alpine Fault, Deep Fault Drilling Project (DFDP) in the Whataroa River, South Westland, New Zealand, bedrock was encountered in the DFDP-2B borehole from 238.5–893.2 m Measured Depth (MD). Continuous sampling and meso- to microscale characterisation of whole rock cuttings established that, in sequence, the borehole sampled amphibolite facies, Torlesse Composite Terrane-derived schists, protomylonites and mylonites, terminating 200–400 m above an Alpine Fault Principal Slip Zone (PSZ) with a maximum dip of 62°. The most diagnostic structural features of increasing PSZ proximity were the occurrence of shear bands and reduction in mean quartz grain sizes. A change in composition to greater mica:quartz + feldspar, most markedly below c. 700 m MD, is inferred to result from either heterogeneous sampling or a change in lithology related to alteration. Major oxide variations suggest the fault-proximal Alpine Fault alteration zone, as previously defined in DFDP-1 core, was not sampled.</p></div></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00288306.2017.1375533","usgsCitation":"Toy, V.G., Southerland, R., Townend, J., Allen, M.J., Becroft, L., Boles, A., Boulton, C., Carpenter, B., Cooper, A.K., Cox, S.C., Daube, C., Faulkner, D.R., Halfpenny, A., Kato, N., Keys, S., Kirilova, M., Kometani, Y., Little, T., Mariani, E., Melosh, B.L., Menzies, C.D., Morales, L., Morgan, C., Mori, H., Niemeijer, A., Norris, R., Prior, D., Sauer, K., Schleicher, A., Shigematsu, N., Teagle, D.A., Tobin, H., Valdez, R., Williams, J., Yeo, S., Baratin, L., Barth, N.C., Benson, A., Boese, C., Celerier, B., Chamberlain, C.J., Conze, R., Coussens, J., Craw, L., Doan, M., Eccles, J.L., Grieve, J., Grochowski, J., Gulley, A., Howarth, J., Zamudio, K.D., Janku-Capova, L., Jeppson, T.N., Langridge, R.M., Mallyon, D., Marx, R., Massiot, 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,{"id":70263401,"text":"70263401 - 2017 - FinDer v.2: Improved real-time ground-motion predictions for M2-M9 with seismic finite-source characterization","interactions":[],"lastModifiedDate":"2025-02-10T15:32:10.488528","indexId":"70263401","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"FinDer v.2: Improved real-time ground-motion predictions for M2-M9 with seismic finite-source characterization","docAbstract":"<p><span>Recent studies suggest that small and large earthquakes nucleate similarly, and that they often have indistinguishable seismic waveform onsets. The characterization of earthquakes in real time, such as for earthquake early warning, therefore requires a flexible modeling approach that allows a small earthquake to become large as fault rupture evolves over time. Here, we present a modeling approach that generates a set of output parameters and uncertainty estimates that are consistent with both small/moderate (≤M6.5) and large earthquakes (&gt;M6.5) as is required for a robust parameter interpretation and shaking forecast. Our approach treats earthquakes over the entire range of magnitudes (&gt;M2) as finite line-source ruptures, with the dimensions of small earthquakes being very small (&lt;100&nbsp;m) and those of large earthquakes exceeding several tens to hundreds of kilometres in length. The extent of the assumed line source is estimated from the level and distribution of high-frequency peak acceleration amplitudes observed in a local seismic network. High-frequency motions are well suited for this approach, because they are mainly controlled by the distance to the rupturing fault. Observed ground-motion patterns are compared with theoretical templates modeled from empirical ground-motion prediction equations to determine the best line source and uncertainties. Our algorithm extends earlier work by Böse&nbsp;</span><i>et al.</i><span>&nbsp;for large finite-fault ruptures. This paper gives a detailed summary of the new algorithm and its offline performance for the 2016 M7.0 Kumamoto, Japan and 2014 M6.0 South Napa, California earthquakes, as well as its performance for about 100 real-time detected local earthquakes (2.2&nbsp;≤&nbsp;</span><i>M</i><span>&nbsp;≤&nbsp;5.1) in California. For most events, both the rupture length and the strike are well constrained within a few seconds (&lt;10&nbsp;s) of the event origin. In large earthquakes, this could allow for providing warnings of up to several tens of seconds. The algorithm could also be useful for resolving fault plane ambiguities of focal mechanisms and identification of rupturing faults for earthquakes as small as M2.5.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggx430","usgsCitation":"Boese, M., Smith, D., Felizardo, C., Meier, M., Heaton, T.H., and Clinton, J., 2017, FinDer v.2: Improved real-time ground-motion predictions for M2-M9 with seismic finite-source characterization: Geophysical Journal International, v. 212, no. 1, p. 725-742, https://doi.org/10.1093/gji/ggx430.","productDescription":"18 p.","startPage":"725","endPage":"742","ipdsId":"IP-087811","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggx430","text":"Publisher Index 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0000-0002-2949-8602","orcid":"https://orcid.org/0000-0002-2949-8602","contributorId":293577,"corporation":false,"usgs":false,"family":"Meier","given":"Men-Andrin","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":926854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heaton, Thomas H.","contributorId":187505,"corporation":false,"usgs":false,"family":"Heaton","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":926855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clinton, J.F.","contributorId":350746,"corporation":false,"usgs":false,"family":"Clinton","given":"J.F.","affiliations":[{"id":80868,"text":"ETH","active":true,"usgs":false}],"preferred":false,"id":926856,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191630,"text":"70191630 - 2017 - Ecosystem services from transborder migratory species: Implications for conservation governance","interactions":[],"lastModifiedDate":"2020-09-01T14:21:25.543451","indexId":"70191630","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services from transborder migratory species: Implications for conservation governance","docAbstract":"<p><span>This article discusses the conservation challenges of volant migratory transborder species and conservation governance primarily in North America. Many migratory species provide ecosystem service benefits to society. For example, insectivorous bats prey on crop pests and reduce the need for pesticides; birds and insects pollinate food plants; and birds afford recreational opportunities to hunters and birdwatchers. Migration is driven by the seasonal availability of resources; as resources in one area become seasonally scarce, individuals move to locations where resources have become seasonally abundant. The separation of the annual lifecycle means that species management and governance is often fractured across international borders. Because migratory species depend on habitat in different locations, their ability to provide ecosystem services in one area depends on the spatial subsidies, or support, provided by habitat and ecological processes in other areas. This creates telecouplings, or interconnections across geographic space, of areas such that impacts to the habitat of a migratory species in one location will affect the benefits enjoyed by people in other locations. Information about telecoupling and spatial subsidies can be used to craft new governance arrangements such as Payment for Ecosystem Services programs that target specific stakeholder groups and locations. We illustrate these challenges and opportunities with three North American case studies: the Duck Stamp Program, Mexican free-tailed bats (</span><i>Tadarida brasiliensis mexicana</i><span>), and monarch butterflies (</span><i>Danaus plexippus</i><span>).</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-110615-090119","usgsCitation":"Lopez-Hoffman, L., Chester, C.C., Semmens, D.J., Thogmartin, W.E., Rodriguez-McGoffin, M.S., Merideth, R.W., and Diffendorfer, J.E., 2017, Ecosystem services from transborder migratory species: Implications for conservation governance: Annual Review of Environment and Resources, v. 42, p. 509-539, https://doi.org/10.1146/annurev-environ-110615-090119.","productDescription":"31 p.","startPage":"509","endPage":"539","ipdsId":"IP-084535","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-environ-110615-090119","text":"Publisher Index Page"},{"id":346718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33171","contributors":{"authors":[{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":712926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chester, Charles C.","contributorId":197202,"corporation":false,"usgs":false,"family":"Chester","given":"Charles","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":712927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":712925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-McGoffin, M. Sofia","contributorId":197203,"corporation":false,"usgs":false,"family":"Rodriguez-McGoffin","given":"M.","email":"","middleInitial":"Sofia","affiliations":[],"preferred":false,"id":712929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Merideth, Robert W.","contributorId":147834,"corporation":false,"usgs":false,"family":"Merideth","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":712931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191664,"text":"70191664 - 2017 - The importance of parameterization when simulating the hydrologic response of vegetative land-cover change","interactions":[],"lastModifiedDate":"2020-05-19T17:59:45.012244","indexId":"70191664","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The importance of parameterization when simulating the hydrologic response of vegetative land-cover change","docAbstract":"<p><span>Computer models of hydrologic systems are frequently used to investigate the hydrologic response of land-cover change. If the modeling results are used to inform resource-management decisions, then providing robust estimates of uncertainty in the simulated response is an important consideration. Here we examine the importance of parameterization, a necessarily subjective process, on uncertainty estimates of the simulated hydrologic response of land-cover change. Specifically, we applied the soil water assessment tool (SWAT) model to a 1.4 km</span><sup>2</sup><span><span>&nbsp;</span>watershed in southern Texas to investigate the simulated hydrologic response of brush management (the mechanical removal of woody plants), a discrete land-cover change. The watershed was instrumented before and after brush-management activities were undertaken, and estimates of precipitation, streamflow, and evapotranspiration (ET) are available; these data were used to condition and verify the model. The role of parameterization in brush-management simulation was evaluated by constructing two models, one with 12 adjustable parameters (reduced parameterization) and one with 1305 adjustable parameters (full parameterization). Both models were subjected to global sensitivity analysis as well as Monte Carlo and generalized likelihood uncertainty estimation (GLUE) conditioning to identify important model inputs and to estimate uncertainty in several quantities of interest related to brush management. Many realizations from both parameterizations were identified as<span>&nbsp;</span></span><q>behavioral</q><span><span>&nbsp;</span>in that they reproduce daily mean streamflow acceptably well according to Nash–Sutcliffe model efficiency coefficient, percent bias, and coefficient of determination. However, the total volumetric ET difference resulting from simulated brush management remains highly uncertain after conditioning to daily mean streamflow, indicating that streamflow data alone are not sufficient to inform the model inputs that influence the simulated outcomes of brush management the most. Additionally, the reduced-parameterization model grossly underestimates uncertainty in the total volumetric ET difference compared to the full-parameterization model; total volumetric ET difference is a primary metric for evaluating the outcomes of brush management. The failure of the reduced-parameterization model to provide robust uncertainty estimates demonstrates the importance of parameterization when attempting to quantify uncertainty in land-cover change simulations.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-21-3975-2017","usgsCitation":"White, J.T., Stengel, V.G., Rendon, S.H., and Banta, J., 2017, The importance of parameterization when simulating the hydrologic response of vegetative land-cover change: Hydrology and Earth System Sciences, v. 21, p. 3975-3989, https://doi.org/10.5194/hess-21-3975-2017.","productDescription":"15 p.","startPage":"3975","endPage":"3989","ipdsId":"IP-087111","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":469514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-21-3975-2017","text":"Publisher Index Page"},{"id":346738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-04","publicationStatus":"PW","scienceBaseUri":"59e7168ce4b05fe04cd33162","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rendon, Samuel H. 0000-0001-5589-0563 srendon@usgs.gov","orcid":"https://orcid.org/0000-0001-5589-0563","contributorId":3940,"corporation":false,"usgs":true,"family":"Rendon","given":"Samuel","email":"srendon@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banta, John 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":171808,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":713005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191659,"text":"70191659 - 2017 - Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory","interactions":[],"lastModifiedDate":"2017-10-17T16:08:31","indexId":"70191659","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory","docAbstract":"<p><span>Conservation biology and applied ecology increasingly recognize that natural resource management is both an outcome and a driver of social, economic, and ecological dynamics. Protected areas offer a fundamental approach to conserving ecosystems, but they are also social-ecological systems whose ecological management and sustainability are heavily influenced by people. This editorial, and the papers in the invited feature that it introduces, discuss three emerging themes in social-ecological systems approaches to understanding protected areas: (1) the resilience and sustainability of protected areas, including analyses of their internal dynamics, their effectiveness, and the resilience of the landscapes within which they occur; (2) the relevance of spatial context and scale for protected areas, including such factors as geographic connectivity, context, exchanges between protected areas and their surrounding landscapes, and scale dependency in the provision of ecosystem services; and (3) efforts to reframe what protected areas are and how they both define and are defined by the relationships of people and nature. These emerging themes have the potential to transform management and policy approaches for protected areas and have important implications for conservation, in both theory and practice.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1584","usgsCitation":"Cumming, G.S., and Allen, C.R., 2017, Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory: Ecological Applications, v. 27, no. 6, p. 1709-1717, https://doi.org/10.1002/eap.1584.","productDescription":"9 p.","startPage":"1709","endPage":"1717","ipdsId":"IP-066373","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"59e7168de4b05fe04cd3316d","contributors":{"authors":[{"text":"Cumming, Graeme S.","contributorId":39191,"corporation":false,"usgs":true,"family":"Cumming","given":"Graeme","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713010,"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":712975,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191663,"text":"70191663 - 2017 - A decade of induced slip on the causative fault of the 2015 Mw 4.0 Venus earthquake, northeast Johnson County, Texas","interactions":[],"lastModifiedDate":"2017-11-29T16:25:02","indexId":"70191663","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A decade of induced slip on the causative fault of the 2015 M<sub>w</sub> 4.0 Venus earthquake, northeast Johnson County, Texas","title":"A decade of induced slip on the causative fault of the 2015 Mw 4.0 Venus earthquake, northeast Johnson County, Texas","docAbstract":"<p><span>On 7 May 2015, a&nbsp;</span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.0 earthquake occurred near Venus, northeast Johnson County, Texas, in an area of the Bend Arch-Fort Worth Basin that reports long-term, high-volume wastewater disposal and that has hosted felt earthquakes since 2009. In the weeks following the<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.0 earthquake, we deployed a local seismic network and purchased nearby active-source seismic reflection data to capture additional events, characterize the causative fault, and explore potential links between ongoing industry activity and seismicity. Hypocenter relocations of the resulting local earthquake catalog span ~4–6&nbsp;km depth and indicate a fault striking ~230</span><strong>°</strong><span>, dipping to the west, consistent with a nodal plane of the<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.0 regional moment tensor. Fault plane solutions indicate normal faulting, with<span>&nbsp;</span></span><i>B</i><span><span>&nbsp;</span>axes striking parallel to maximum horizontal compressive stress. Seismic reflection data image the reactivated basement fault penetrating the Ordovician disposal layer and Mississippian production layer, but not displacing post-Lower Pennsylvanian units. Template matching at regional seismic stations indicates that low-magnitude earthquakes with similar waveforms began in April 2008, with increasing magnitude over time. Pressure data from five saltwater disposal wells within 5&nbsp;km of the active fault indicate a disposal formation that is 0.9–4.8&nbsp;MPa above hydrostatic. We suggest that the injection of 28,000,000&nbsp;m</span><sup>3</sup><span><span>&nbsp;</span>of wastewater between 2006 and 2015 at these wells led to an increase in subsurface pore fluid pressure that contributed to inducing this long-lived earthquake sequence. The 2015<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.0 event represents the largest event in the continuing evolution of slip on the causative fault.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014460","usgsCitation":"Scales, M.M., DeShon, H.R., Magnani, M., Walter, J., Quinones, L., Pratt, T.L., and Hornbach, M.J., 2017, A decade of induced slip on the causative fault of the 2015 Mw 4.0 Venus earthquake, northeast Johnson County, Texas: Journal of Geophysical Research B: Solid Earth, v. 122, no. 10, p. 7879-7894, https://doi.org/10.1002/2017JB014460.","productDescription":"16 p.","startPage":"7879","endPage":"7894","ipdsId":"IP-088408","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Johnson County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.4,\n              32.1\n            ],\n            [\n              -96.8,\n              32.1\n            ],\n            [\n              -96.8,\n              32.6\n            ],\n            [\n              -97.4,\n              32.6\n            ],\n            [\n              -97.4,\n              32.1\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-07","publicationStatus":"PW","scienceBaseUri":"59e7168de4b05fe04cd33165","contributors":{"authors":[{"text":"Scales, Monique M.","contributorId":197229,"corporation":false,"usgs":false,"family":"Scales","given":"Monique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeShon, Heather R.","contributorId":48540,"corporation":false,"usgs":true,"family":"DeShon","given":"Heather","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnani, M. Beatrice","contributorId":197231,"corporation":false,"usgs":false,"family":"Magnani","given":"M. Beatrice","affiliations":[],"preferred":false,"id":712999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, Jacob I.","contributorId":147406,"corporation":false,"usgs":false,"family":"Walter","given":"Jacob I.","affiliations":[{"id":16842,"text":"U Texas Austin","active":true,"usgs":false}],"preferred":false,"id":713000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinones, Louis","contributorId":197233,"corporation":false,"usgs":false,"family":"Quinones","given":"Louis","email":"","affiliations":[],"preferred":false,"id":713001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hornbach, Matthew J.","contributorId":14258,"corporation":false,"usgs":true,"family":"Hornbach","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713003,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191542,"text":"70191542 - 2017 - Influence of pore pressure change on coseismic volumetric strain","interactions":[],"lastModifiedDate":"2017-10-17T11:00:00","indexId":"70191542","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","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":"Influence of pore pressure change on coseismic volumetric strain","docAbstract":"<p><span>Coseismic strain is fundamentally important for understanding crustal response to changes of stress after earthquakes. The elastic dislocation model has been widely applied to interpreting observed shear deformation caused by earthquakes. The application of the same theory to interpreting volumetric strain, however, has met with difficulty, especially in the far field of earthquakes. Predicted volumetric strain with dislocation model often differs substantially, and sometimes of opposite signs, from observed coseismic volumetric strains. The disagreement suggests that some processes unaccounted for by the dislocation model may occur during earthquakes. Several hypotheses have been suggested, but none have been tested quantitatively. In this paper we first examine published data to highlight the difference between the measured and calculated static coseismic volumetric strains; we then use these data to provide quantitative test of the model that the disagreement may be explained by the change of pore pressure in the shallow crust. The test allows us to conclude that coseismic change of pore pressure may be an important mechanism for coseismic crustal strain and, in the far field, may even be the dominant mechanism. Thus in the interpretation of observed coseismic crustal strain, one needs to account not only for the elastic strain due to fault rupture but also for the strain due to coseismic change of pore pressure.</span></p>","language":"English","publisher":"Springer","doi":"10.1016/j.epsl.2017.07.034","usgsCitation":"Wang, C., and Barbour, A., 2017, Influence of pore pressure change on coseismic volumetric strain: Earth and Planetary Science Letters, v. 475, p. 152-159, https://doi.org/10.1016/j.epsl.2017.07.034.","productDescription":"8 p.","startPage":"152","endPage":"159","ipdsId":"IP-085682","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.07.034","text":"Publisher Index Page"},{"id":346678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"475","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd3317d","contributors":{"authors":[{"text":"Wang, Chi-Yuen","contributorId":20001,"corporation":false,"usgs":true,"family":"Wang","given":"Chi-Yuen","affiliations":[],"preferred":false,"id":712711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":712710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191552,"text":"70191552 - 2017 - Forecast first: An argument for groundwater modeling in reverse","interactions":[],"lastModifiedDate":"2017-10-17T10:24:51","indexId":"70191552","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Forecast first: An argument for groundwater modeling in reverse","docAbstract":"<p>Numerical groundwater models are important compo-nents of groundwater analyses that are used for makingcritical decisions related to the management of ground-water resources. In this support role, models are oftenconstructed to serve a speciﬁc purpose that is to provideinsights, through simulation, related to a speciﬁc func-tion of a complex aquifer system that cannot be observeddirectly (Anderson et al. 2015).</p><p>For any given modeling analysis, several modelinput datasets must be prepared. Herein, the datasetsrequired to simulate the historical conditions are referredto as the calibration model, and the datasets requiredto simulate the model’s purpose are referred to as theforecast model. Future groundwater conditions or otherunobserved aspects of the groundwater system may besimulated by the forecast model—the outputs of interestfrom the forecast model represent the purpose of themodeling analysis. Unfortunately, the forecast model,needed to simulate the purpose of the modeling analysis,is seemingly an afterthought—calibration is where themajority of time and effort are expended and calibrationis usually completed before the forecast model is evenconstructed. Herein, I am proposing a new groundwatermodeling workﬂow, referred to as the “forecast ﬁrst”workﬂow, where the forecast model is constructed at anearlier stage in the modeling analysis and the outputsof interest from the forecast model are evaluated duringsubsequent tasks in the workﬂow.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12558","usgsCitation":"White, J.T., 2017, Forecast first: An argument for groundwater modeling in reverse: Groundwater, v. 55, no. 5, p. 660-664, https://doi.org/10.1111/gwat.12558.","productDescription":"5 p.","startPage":"660","endPage":"664","ipdsId":"IP-085148","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":346670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-03","publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33174","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712742,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191549,"text":"70191549 - 2017 - Millennial-scale variability in the local radiocarbon reservoir age of south Florida during the Holocene","interactions":[],"lastModifiedDate":"2017-10-17T10:34:50","indexId":"70191549","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Millennial-scale variability in the local radiocarbon reservoir age of south Florida during the Holocene","docAbstract":"<p><span>A growing body of research suggests that the marine environments of south Florida provide a critical link between the tropical and high-latitude Atlantic. Changes in the characteristics of water masses off south Florida may therefore have important implications for our understanding of climatic and oceanographic variability over a broad spatial scale; however, the sources of variability within this oceanic corridor remain poorly understood. Measurements of ΔR, the local offset of the radiocarbon reservoir age, from shallow-water marine environments can serve as a powerful tracer of water-mass sources that can be used to reconstruct variability in local-to regional-scale oceanography and hydrology. We combined radiocarbon and U-series measurements of Holocene-aged corals from the shallow-water environments of the Florida Keys reef tract (FKRT) with robust statistical modeling to quantify the millennial-scale variability in ΔR at locations with (“nearshore”) and without (“open ocean”) substantial terrestrial influence. Our reconstructions demonstrate that there was significant spatial and temporal variability in ΔR on the FKRT during the Holocene. Whereas ΔR was similar throughout the region after ∼4000 years ago, nearshore ΔR was significantly higher than in the open ocean during the middle Holocene. We suggest that the elevated nearshore ΔR from ∼8000 to 5000 years ago was most likely the result of greater groundwater influence associated with lower sea level at this time. In the open ocean, which would have been isolated from the influence of groundwater, ΔR was lowest ∼7000 years ago, and was highest ∼3000 years ago. We evaluated our open-ocean model of ΔR variability against records of local-to regional-scale oceanography and conclude that local upwelling was not a significant driver of open-ocean radiocarbon variability in this region. Instead, the millennial-scale trends in open-ocean ΔR were more likely a result of broader-scale changes in western Atlantic circulation associated with an increase in the supply of equatorial South Atlantic water to the Caribbean and shifts in the character of South Atlantic waters resulting from variation in the intensity of upwelling off the southwest coast of Africa. Because accurate estimates of ΔR are critical to precise calibrations of radiocarbon dates from marine samples, we also developed models of nearshore and open-ocean ΔR versus conventional&nbsp;</span><sup>14</sup><span>C ages that can be used for regional radiocarbon calibrations for the Holocene. Our study provides new insights into the patterns and drivers of oceanographic and hydrologic variability in the Straits of Florida and highlights the value of the paleoceanographic records from south Florida to our understanding of Holocene changes in climate and ocean circulation throughout the Atlantic.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quageo.2017.07.005","usgsCitation":"Toth, L., Cheng, H., Edwards, R., Ashe, E., and Richey, J.N., 2017, Millennial-scale variability in the local radiocarbon reservoir age of south Florida during the Holocene: Quaternary Geochronology, v. 42, p. 130-143, https://doi.org/10.1016/j.quageo.2017.07.005.","productDescription":"14 p.","startPage":"130","endPage":"143","ipdsId":"IP-084508","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461385,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quageo.2017.07.005","text":"Publisher Index Page"},{"id":438188,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P8492Q","text":"USGS data release","linkHelpText":"Local Radiocarbon Reservoir Age (Delta-R) Variability from the Nearshore and Open-Ocean Environments of the Florida Keys Reef Tract During the Holocene and Associated U-Series and Radiocarbon Data"},{"id":346672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.04290771484374,\n              24.492147541216028\n            ],\n            [\n              -80.15625,\n              24.492147541216028\n            ],\n            [\n              -80.15625,\n              25.535006795752302\n            ],\n            [\n              -83.04290771484374,\n              25.535006795752302\n            ],\n            [\n              -83.04290771484374,\n              24.492147541216028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33178","contributors":{"authors":[{"text":"Toth, Lauren T. ltoth@usgs.gov","contributorId":149483,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren T.","email":"ltoth@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":712730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheng, Hai","contributorId":85896,"corporation":false,"usgs":true,"family":"Cheng","given":"Hai","affiliations":[],"preferred":false,"id":712743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, R. Lawrence","contributorId":55752,"corporation":false,"usgs":true,"family":"Edwards","given":"R. Lawrence","affiliations":[],"preferred":false,"id":712744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ashe, Erica","contributorId":194112,"corporation":false,"usgs":false,"family":"Ashe","given":"Erica","affiliations":[],"preferred":false,"id":712745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":5182,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":712746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192081,"text":"70192081 - 2017 - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA","interactions":[],"lastModifiedDate":"2017-10-25T09:44:31","indexId":"70192081","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA","docAbstract":"<p><span>Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the Cascade Mountains, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras of logging trends that align with prevailing regulations and economic conditions. We used multiple logistic regression to determine the biophysical and anthropogenic factors that influence fine-scale selection of harvest stands in each time period. Results show that private lands forest cover became significantly reduced and more fragmented from 1985 to 2014. Variables linked to parameters of site conditions, location, climate, and vegetation greenness consistently distinguished harvest selection for each distinct era. This study demonstrates the utility of annual LULC data for investigating the underlying factors that influence land cover change.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8100383","usgsCitation":"Soulard, C.E., Walker, J.J., and Griffith, G.E., 2017, Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA: Forests, v. 8, no. 10, p. 1-18, https://doi.org/10.3390/f8100383.","productDescription":"Article 383; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-090964","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469435,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8100383","text":"Publisher Index Page"},{"id":438189,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X63KWW","text":"USGS data release","linkHelpText":"Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA"},{"id":347269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.33276367187499,\n              45.767522962149876\n            ],\n            [\n              -119.80590820312499,\n              45.767522962149876\n            ],\n            [\n              -119.80590820312499,\n              49.009050809382046\n            ],\n            [\n              -122.33276367187499,\n              49.009050809382046\n            ],\n            [\n              -122.33276367187499,\n              45.767522962149876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-07","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d79","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jessica J. 0000-0002-3225-0317 jjwalker@usgs.gov","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":169458,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica","email":"jjwalker@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffith, Glenn E. 0000-0001-7966-4720 ggriffith@usgs.gov","orcid":"https://orcid.org/0000-0001-7966-4720","contributorId":4053,"corporation":false,"usgs":true,"family":"Griffith","given":"Glenn","email":"ggriffith@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191368,"text":"ofr20171130 - 2017 - Conceptual modeling framework to support development of site-specific selenium criteria for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada","interactions":[],"lastModifiedDate":"2017-10-17T10:08:39","indexId":"ofr20171130","displayToPublicDate":"2017-10-16T17:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1130","title":"Conceptual modeling framework to support development of site-specific selenium criteria for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada","docAbstract":"<p>The U.S. Geological Survey, working with the Montana Department of Environmental Quality and the British Columbia Ministry of the Environment and Climate Change Strategy, has developed a conceptual modeling framework that can be used to provide structured and scientifically based input to the Lake Koocanusa Monitoring and Research Working Group as they consider potential site-specific selenium criteria for Lake Koocanusa, a transboundary reservoir located in Montana and British Columbia. This report describes that modeling framework, provides an example of how it can be applied, and outlines possible next steps for implementing the framework.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171130","collaboration":"Prepared in cooperation with the Montana Department of Environmental Quality","usgsCitation":"Jenni, K.E., Naftz, D.L., and Presser, T.S., 2017, Conceptual modeling framework to support development of site-specific selenium criteria for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada: U.S. Geological Survey Open-File Report 2017–1130, 14 p., https://doi.org/10.3133/ofr20171130.","productDescription":"Report: iv, 14 p.; Data Release","numberOfPages":"22","onlineOnly":"N","ipdsId":"IP-091389","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":346538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1130/coverthb.jpg"},{"id":346541,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/F7ZP44C9","text":"USGS Data Release – ","description":"USGS Data Release","linkHelpText":"USGS Measurements of Dissolved and Suspended Particulate Material Selenium in Lake Koocanusa in the Vicinity of Libby Dam (MT), 2015–2016"},{"id":346539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1130/ofr20171130.pdf","text":"Report","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1130"}],"country":"Canada, United States","state":"British Columbia, Montana","otherGeospatial":" Lake Koocanusa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.98266601562499,\n              48.356249029540734\n            ],\n            [\n              -114.8565673828125,\n              48.356249029540734\n            ],\n            [\n              -114.8565673828125,\n              50.42601852427907\n            ],\n            [\n              -115.98266601562499,\n              50.42601852427907\n            ],\n            [\n              -115.98266601562499,\n              48.356249029540734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www2.usgs.gov/sdc/\" data-mce-href=\"https://www2.usgs.gov/sdc/\">Science and Decisions Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Conceptual Modeling Framework</li><li>Necessary Next Steps for Model Implementation</li><li>Example Illustration of Model Application</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-10-16","noUsgsAuthors":false,"publicationDate":"2017-10-16","publicationStatus":"PW","scienceBaseUri":"59e5c518e4b05fe04cd1c9c0","contributors":{"authors":[{"text":"Jenni, Karen E. 0000-0001-9927-7509 kjenni@usgs.gov","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":193824,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","email":"kjenni@usgs.gov","affiliations":[],"preferred":false,"id":712257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":712117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204371,"text":"70204371 - 2017 - The NorWeST summer stream temperature model and scenarios for the western U.S.: A crowd-sourced database and new geospatial tools foster a user-community and predict broad climate warming of rivers and streams","interactions":[],"lastModifiedDate":"2019-12-22T14:51:52","indexId":"70204371","displayToPublicDate":"2017-10-16T13:40:18","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The NorWeST summer stream temperature model and scenarios for the western U.S.: A crowd-sourced database and new geospatial tools foster a user-community and predict broad climate warming of rivers and streams","docAbstract":"<p><span>Thermal regimes are fundamental determinants of aquatic ecosystems, which makes description and prediction of temperatures critical during a period of rapid global change. The advent of inexpensive temperature sensors dramatically increased monitoring in recent decades, and although most monitoring is done by individuals for agency‐specific purposes, collectively these efforts constitute a massive distributed sensing array that generates an untapped wealth of data. Using the framework provided by the National Hydrography Dataset, we organized temperature records from dozens of agencies in the western U.S. to create the NorWeST database that hosts &gt;220,000,000 temperature recordings from &gt;22,700 stream and river sites. Spatial‐stream‐network models were fit to a subset of those data that described mean August water temperatures (AugTw) during 63,641 monitoring site‐years to develop accurate temperature models (</span><i>r</i><sup>2</sup><span> = 0.91; RMSPE = 1.10°C; MAPE = 0.72°C), assess covariate effects, and make predictions at 1 km intervals to create summer climate scenarios. AugTw averaged 14.2°C (SD = 4.0°C) during the baseline period of 1993–2011 in 343,000 km of western perennial streams but trend reconstructions also indicated warming had occurred at the rate of 0.17°C/decade (SD = 0.067°C/decade) during the 40 year period of 1976–2015. Future scenarios suggest continued warming, although variation will occur within and among river networks due to differences in local climate forcing and stream responsiveness. NorWeST scenarios and data are available online in user‐friendly digital formats and are widely used to coordinate monitoring efforts among agencies, for new research, and for conservation planning.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020969","usgsCitation":"Isaak, D.J., Wenger, S.J., Peterson, E.E., Ver Hoef, J.M., Nagel, D., Luce, C.H., Hostetler, S.W., Dunham, J.B., Roper, B.B., Wollrab, S., Chandler, G.L., Horan, D., and Parkes-Payne, S., 2017, The NorWeST summer stream temperature model and scenarios for the western U.S.: A crowd-sourced database and new geospatial tools foster a user-community and predict broad climate warming of rivers and streams: Water Resources Research, v. 53, no. 11, p. 9181-9205, https://doi.org/10.1002/2017WR020969.","productDescription":"25 p.","startPage":"9181","endPage":"9205","ipdsId":"IP-090157","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020969","text":"Publisher Index Page"},{"id":365806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, 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Dona L","contributorId":217322,"corporation":false,"usgs":false,"family":"Horan","given":"Dona L","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":766585,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Parkes-Payne, Sharon","contributorId":217323,"corporation":false,"usgs":false,"family":"Parkes-Payne","given":"Sharon","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":766586,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70260163,"text":"70260163 - 2017 - Volcanic unrest at Mauna Loa, Earth's largest active volcano","interactions":[],"lastModifiedDate":"2024-10-29T14:37:03.70833","indexId":"70260163","displayToPublicDate":"2017-10-16T09:33:03","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic unrest at Mauna Loa, Earth's largest active volcano","docAbstract":"<p>Mauna Loa is showing persistent signs of volcanic unrest. Since 2014, increased seismicity and deformation indicate that Mauna Loa, the volcano that dominates more than half of the island of Hawaiʻi, may be building toward its first eruption since 1984.</p><p>Thousands of residents and key infrastructure are potentially at risk from lava flows, so a critical question is whether the volcano will follow patterns of previous eruptions or return to its now historically unprecedented 33-year slumber.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017EO083937","usgsCitation":"Thelen, W., Mikijus, A., and Neal, C.A., 2017, Volcanic unrest at Mauna Loa, Earth's largest active volcano: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2017EO083937.","productDescription":"HTML Document","ipdsId":"IP-085728","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo083937","text":"Publisher Index Page"},{"id":463336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.77507649188428,\n              19.686539008086896\n            ],\n            [\n              -155.77507649188428,\n              19.20945444941283\n            ],\n            [\n              -155.34842869991644,\n              19.20945444941283\n            ],\n            [\n              -155.34842869991644,\n              19.686539008086896\n            ],\n            [\n              -155.77507649188428,\n              19.686539008086896\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikijus, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":80431,"corporation":false,"usgs":true,"family":"Mikijus","given":"Asta","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":917278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191508,"text":"70191508 - 2017 - Increasing floodplain connectivity through urban stream restoration increases nutrient and sediment retention","interactions":[],"lastModifiedDate":"2017-10-16T09:50:37","indexId":"70191508","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Increasing floodplain connectivity through urban stream restoration increases nutrient and sediment retention","docAbstract":"<p><span>Stream restoration practices frequently aim to increase connectivity between the stream channel and its floodplain to improve channel stability and enhance water quality through sediment trapping and nutrient retention. To measure the effectiveness of restoration and to understand the drivers of these functional responses, we monitored five restored urban streams that represent a range of channel morphology and restoration ages. High and low elevation floodplain plots were established in triplicate in each stream to capture variation in floodplain connectivity. We measured ecosystem geomorphic and soil attributes, sediment and nutrient loading, and rates of soil nutrient biogeochemistry processes (denitrification; N and P mineralization) then used boosted regression trees (BRT) to identify controls on sedimentation and nutrient processing. Local channel and floodplain morphology and position within the river network controlled connectivity with increased sedimentation at sites downstream of impaired reaches and at floodplain plots near the stream channel and at low elevations. We observed that nitrogen loading (both dissolved and particulate) was positively correlated with denitrification and N mineralization and dissolved phosphate loading positively influenced P mineralization; however, none of these input rates or transformations differed between floodplain elevation categories. Instead, continuous gradients of connectivity were observed rather than categorical shifts between inset and high floodplains. Organic matter and nutrient content in floodplain soils increased with the time since restoration, which highlights the importance of recovery time after construction that is needed for restored systems to increase ecosystem functions. Our results highlight the importance of restoring floodplains downstream of sources of impairment and building them at lower elevations so they flood frequently, not just during bankfull events. This integrated approach has the greatest potential for increasing trapping of sediment, nutrients, and associated pollutants in restored streams and thereby improving water quality in urban watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.08.006","usgsCitation":"McMillan, S., and Noe, G.E., 2017, Increasing floodplain connectivity through urban stream restoration increases nutrient and sediment retention: Ecological Engineering, v. 108, no. A, p. 284-295, https://doi.org/10.1016/j.ecoleng.2017.08.006.","productDescription":"12 p.","startPage":"284","endPage":"295","ipdsId":"IP-088155","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":346621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Mecklenburg County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.7823,35.5113],[-80.7867,35.5031],[-80.7889,35.4949],[-80.7831,35.4836],[-80.7819,35.475],[-80.7779,35.4668],[-80.7778,35.4614],[-80.7744,35.4578],[-80.7549,35.423],[-80.7525,35.4148],[-80.7553,35.4125],[-80.7638,35.4134],[-80.7693,35.402],[-80.7551,35.3944],[-80.7364,35.3786],[-80.7187,35.3624],[-80.704,35.3552],[-80.6983,35.3507],[-80.6822,35.3131],[-80.6677,35.2705],[-80.6214,35.2499],[-80.5954,35.2369],[-80.5485,35.2108],[-80.6245,35.1487],[-80.7328,35.0627],[-80.7645,35.0375],[-80.7684,35.0348],[-80.7746,35.0329],[-80.7858,35.0315],[-80.7892,35.0314],[-80.8009,35.0286],[-80.8155,35.0204],[-80.8194,35.019],[-80.8216,35.018],[-80.8216,35.0167],[-80.8288,35.0098],[-80.835,35.0061],[-80.8405,35.0016],[-80.8604,35.0246],[-80.8854,35.0535],[-80.9016,35.0716],[-80.9312,35.1049],[-80.9373,35.1018],[-81.0383,35.0452],[-81.0419,35.0432],[-81.0447,35.0468],[-81.0464,35.0482],[-81.0483,35.0507],[-81.0503,35.0527],[-81.0528,35.0557],[-81.0548,35.0582],[-81.0568,35.0611],[-81.0577,35.0636],[-81.0586,35.067],[-81.0582,35.0722],[-81.0577,35.0788],[-81.0566,35.0834],[-81.0554,35.0868],[-81.0541,35.0904],[-81.0533,35.0927],[-81.0523,35.0956],[-81.0503,35.0975],[-81.0487,35.099],[-81.0462,35.1003],[-81.0437,35.1014],[-81.042,35.1022],[-81.0391,35.1027],[-81.0369,35.1036],[-81.0352,35.1054],[-81.0344,35.1072],[-81.0341,35.1095],[-81.0341,35.1136],[-81.0358,35.1186],[-81.0363,35.1213],[-81.038,35.124],[-81.0408,35.1267],[-81.0425,35.1281],[-81.0454,35.1289],[-81.0476,35.1295],[-81.0499,35.1302],[-81.051,35.1313],[-81.0521,35.1335],[-81.0523,35.1365],[-81.0517,35.1392],[-81.0501,35.142],[-81.0476,35.1463],[-81.0448,35.1494],[-81.0238,35.1486],[-81.0176,35.1536],[-81.0109,35.1532],[-81.0076,35.1569],[-81.0088,35.165],[-81.0049,35.1728],[-81.0045,35.1814],[-81.0046,35.1864],[-81.0063,35.1923],[-81.0064,35.1973],[-81.0054,35.2055],[-81.0071,35.2109],[-81.0129,35.2231],[-81.0113,35.2309],[-81.012,35.2349],[-81.0082,35.2509],[-81.0139,35.2585],[-81.0152,35.2685],[-81.0143,35.2876],[-81.0133,35.293],[-81.0105,35.2944],[-81.0033,35.3017],[-81.0022,35.3045],[-80.9961,35.3113],[-80.9938,35.3132],[-80.9894,35.3205],[-80.9844,35.3237],[-80.9805,35.3287],[-80.9823,35.3341],[-80.984,35.3373],[-80.9818,35.3446],[-80.9706,35.3501],[-80.9656,35.3506],[-80.9593,35.3489],[-80.9537,35.3521],[-80.9442,35.3521],[-80.9374,35.3572],[-80.9285,35.3614],[-80.9268,35.3627],[-80.9296,35.3636],[-80.9432,35.3658],[-80.9505,35.3675],[-80.9563,35.3738],[-80.9597,35.3756],[-80.9625,35.3756],[-80.9647,35.3738],[-80.9669,35.3688],[-80.9697,35.3669],[-80.9742,35.3642],[-80.9776,35.3646],[-80.9844,35.3695],[-80.9868,35.38],[-80.9846,35.3822],[-80.9806,35.3823],[-80.9761,35.3828],[-80.9632,35.3901],[-80.9554,35.3925],[-80.9549,35.4006],[-80.959,35.4133],[-80.9569,35.4288],[-80.9587,35.436],[-80.9527,35.446],[-80.9465,35.4524],[-80.9421,35.457],[-80.9432,35.4602],[-80.9506,35.4656],[-80.9518,35.4701],[-80.948,35.481],[-80.947,35.486],[-80.951,35.4942],[-80.9612,35.4986],[-80.9664,35.509],[-80.9637,35.5131],[-80.9586,35.5163],[-80.9569,35.5177],[-80.7823,35.5113]]]},\"properties\":{\"name\":\"Mecklenburg\",\"state\":\"NC\"}}]}","volume":"108","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c519e4b05fe04cd1c9c6","contributors":{"authors":[{"text":"McMillan, Sara K.","contributorId":197089,"corporation":false,"usgs":false,"family":"McMillan","given":"Sara K.","affiliations":[],"preferred":false,"id":712530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":712529,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191491,"text":"70191491 - 2017 - Evaluating upstream passage and timing of approach by adult bigheaded carps at a gated dam on the Illinois River","interactions":[],"lastModifiedDate":"2017-10-16T10:09:52","indexId":"70191491","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating upstream passage and timing of approach by adult bigheaded carps at a gated dam on the Illinois River","docAbstract":"<p><span>Dams are a conservation threat because they function as barriers to native fish movement; however, they may prevent the spread of invasive species. Invasive bigheaded carps (</span><i>Hypophthalmichthys</i><span><span>&nbsp;</span>spp.) threaten the Great Lakes ecosystem and are advancing towards Lake Michigan via the Illinois River. Navigation dams on the Illinois River may deter bigheaded carps' upstream movement. We investigated the permeability of the Starved Rock Lock and Dam (SRLD), the most downstream gated Illinois River dam, to bigheaded carps' migration by examining the timing of individuals approaching and passing through SRLD in relation to gate openness, tailwater elevation, and water temperature. Using acoustic telemetry of (</span><i>N</i><span>&nbsp;=&nbsp;~104 per year) tagged fish, 13 upstream passages of bigheaded carps occurred through SRLD between 2013 and 2016. Eleven passages occurred through the dam gates and 2 through the lock chamber, indicating deterrents (e.g., CO</span><sub>2</sub><span>) placed in SRLD lock chamber may only limit passage of a small proportion of all fish passing through the lock-and-dam structure. Passages were documented only in 2013 and 2015. Most of the dam gate passages occurred during high water when gates were completely out of the water. Timing of bigheaded carps approaching SRLD was positively correlated with rising water temperature and high tailwater elevation, and all fish approached during late March through mid-September. Movement through dams is rare; modifying gate operations to reduce gate openness during late spring and summer could further reduce the permeability of gated dams such as SRLD to bigheaded carps, slowing their upstream advance.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3180","usgsCitation":"Lubejko, M., Whitledge, G., Coulter, A.A., Brey, M.K., Oliver, D., and Garvey, J.E., 2017, Evaluating upstream passage and timing of approach by adult bigheaded carps at a gated dam on the Illinois River: River Research and Applications, v. 33, no. 8, p. 1268-1278, https://doi.org/10.1002/rra.3180.","productDescription":"11 p.","startPage":"1268","endPage":"1278","ipdsId":"IP-084443","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River, Starved Rock Lock and Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.04041290283203,\n              41.308502890261764\n            ],\n            [\n              -88.94634246826172,\n              41.308502890261764\n            ],\n            [\n              -88.94634246826172,\n              41.333513657873205\n            ],\n            [\n              -89.04041290283203,\n              41.333513657873205\n            ],\n            [\n              -89.04041290283203,\n              41.308502890261764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-21","publicationStatus":"PW","scienceBaseUri":"59e5c51ae4b05fe04cd1c9ca","contributors":{"authors":[{"text":"Lubejko, Matthew","contributorId":195897,"corporation":false,"usgs":false,"family":"Lubejko","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":712426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitledge, Greg","contributorId":195898,"corporation":false,"usgs":false,"family":"Whitledge","given":"Greg","affiliations":[],"preferred":false,"id":712427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Devon","contributorId":195899,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","affiliations":[],"preferred":false,"id":712429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712430,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191515,"text":"70191515 - 2017 - Experimental infection of common eider ducklings with Wellfleet Bay virus, a newly characterized orthomyxovirus","interactions":[],"lastModifiedDate":"2017-11-29T16:25:58","indexId":"70191515","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Experimental infection of common eider ducklings with Wellfleet Bay virus, a newly characterized orthomyxovirus","docAbstract":"<p><span>Wellfleet Bay virus (WFBV), a novel orthomyxovirus in the genus&nbsp;</span><i>Quaranjavirus</i><span>, was first isolated in 2006 from carcasses of common eider (</span><i>Somateria mollissima</i><span>) during a mortality event in Wellfleet Bay (Barnstable County, Massachusetts, USA) and has since been repeatedly isolated during recurrent mortality events in this location. Hepatic, pancreatic, splenic, and intestinal necrosis were observed in dead eiders. We inoculated 6-week-old common eider ducklings with WFBV in an attempt to recreate the naturally occurring disease. Approximately 25% of inoculated eiders had onset of clinical disease and required euthanasia; an additional 18.75% were adversely affected based on net weight loss during the trial. Control ducklings did not become infected and did not have clinical disease. Infected ducklings with clinical disease had pathologic lesions consistent with those observed during natural mortality events. WFBV was re-isolated from 37.5% of the inoculated ducklings. Ducklings surviving to 5 days postinoculation developed serum antibody titers to WFBV.</span></p>","language":"English","publisher":"CDC","doi":"10.3201/eid2312.160366","usgsCitation":"Shearn-Bochsler, V.I., Ip, S., Ballmann, A., Hall, J.S., Allison, A.B., Ballard, J.R., Ellis, J.C., Cook, R., Gibbs, S., and Dwyer, C.P., 2017, Experimental infection of common eider ducklings with Wellfleet Bay virus, a newly characterized orthomyxovirus: Emerging Infectious Diseases, v. 23, no. 12, p. 1974-1981, https://doi.org/10.3201/eid2312.160366.","productDescription":"8 p.","startPage":"1974","endPage":"1981","ipdsId":"IP-087219","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2312.160366","text":"Publisher Index Page"},{"id":346628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c518e4b05fe04cd1c9c4","contributors":{"authors":[{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allison, Andrew B.","contributorId":83011,"corporation":false,"usgs":false,"family":"Allison","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":712557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballard, Jennifer R.","contributorId":127726,"corporation":false,"usgs":false,"family":"Ballard","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":712558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ellis, Julie C.","contributorId":127731,"corporation":false,"usgs":false,"family":"Ellis","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":7128,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA.","active":true,"usgs":false}],"preferred":false,"id":712559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cook, Robert","contributorId":176416,"corporation":false,"usgs":false,"family":"Cook","given":"Robert","affiliations":[],"preferred":false,"id":712560,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gibbs, Samantha E.J.","contributorId":127739,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha E.J.","affiliations":[{"id":7128,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA.","active":true,"usgs":false}],"preferred":false,"id":712561,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dwyer, Chris P.","contributorId":127734,"corporation":false,"usgs":false,"family":"Dwyer","given":"Chris","email":"","middleInitial":"P.","affiliations":[{"id":7131,"text":"United States Department of the Interior, United States Fish and Wildlife Service, Northeast Region, Division of Migratory Birds, Hadley, MA 01035, USA.","active":true,"usgs":false}],"preferred":false,"id":712562,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191492,"text":"70191492 - 2017 - Effects of flood inundation and invasion by Phalaris arundinacea on nitrogen cycling in an Upper Mississippi River floodplain forest","interactions":[],"lastModifiedDate":"2022-11-02T13:53:22.124712","indexId":"70191492","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of flood inundation and invasion by <i>Phalaris arundinacea</i> on nitrogen cycling in an Upper Mississippi River floodplain forest","title":"Effects of flood inundation and invasion by Phalaris arundinacea on nitrogen cycling in an Upper Mississippi River floodplain forest","docAbstract":"<p><span>Although floodplains are thought to serve as important buffers against nitrogen (N) transport to aquatic systems, frequent flooding and high levels of nutrient availability also make these systems prone to invasion by exotic plant species. Invasive plants could modify the cycling and availability of nutrients within floodplains, with effects that could feedback to promote the persistence of the invasive species and impact N export to riverine and coastal areas. We examined the effect of flooding on soil properties and N cycling at a floodplain site in Pool 8 of the Upper Mississippi River with 2 plant communities: mature native forest (</span><i>Acer saccharinum</i><span>) and patches of an invasive grass (</span><i>Phalaris arundinacea</i><span>). Plots were established within each vegetation type along an elevation gradient and sampled throughout the summers of 2013 and 2014. Spatial trends in flooding resulted in higher soil organic matter, porosity, and total nitrogen and carbon in low elevations. Nutrient processes and NH</span><sub>4</sub><sup>+</sup><span><span>&nbsp;</span>and NO</span><sub>3</sub><sup>−</sup><span><span>&nbsp;</span>availability, however, were best explained by vegetation type and time after flooding.<span>&nbsp;</span></span><i>Phalaris</i><span><span>&nbsp;</span>plots maintained higher rates of nitrification and higher concentrations of available NH</span><sub>4</sub><sup>+</sup><span><span>&nbsp;</span>and NO</span><sub>3</sub><sup>−</sup><span>. These results suggest that invasion by<span>&nbsp;</span></span><i>Phalaris</i><span>may make nitrogen more readily available and could help to reinforce this species' persistence in floodplain wetlands. They also raise the possibility that<span>&nbsp;</span></span><i>Phalaris</i><span><span>&nbsp;</span>may decrease floodplain N storage capacity and influence downstream transport of N to coastal zones.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.1877","usgsCitation":"Swanson, W., De Jager, N.R., Strauss, E.A., and Thomsen, M., 2017, Effects of flood inundation and invasion by Phalaris arundinacea on nitrogen cycling in an Upper Mississippi River floodplain forest: Ecohydrology, v. 10, no. 7, e1877; 12 p., https://doi.org/10.1002/eco.1877.","productDescription":"e1877; 12 p.","ipdsId":"IP-076663","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.2547981144141,\n              43.78463269677704\n            ],\n            [\n              -91.2547981144141,\n              43.674577852975204\n            ],\n            [\n              -91.18842801676165,\n              43.674577852975204\n            ],\n            [\n              -91.18842801676165,\n              43.78463269677704\n            ],\n            [\n              -91.2547981144141,\n              43.78463269677704\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"59e5c51ae4b05fe04cd1c9c8","contributors":{"authors":[{"text":"Swanson, Whitney","contributorId":194558,"corporation":false,"usgs":false,"family":"Swanson","given":"Whitney","affiliations":[],"preferred":false,"id":712432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strauss, Eric A.","contributorId":190148,"corporation":false,"usgs":false,"family":"Strauss","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomsen, Meredith","contributorId":197064,"corporation":false,"usgs":false,"family":"Thomsen","given":"Meredith","affiliations":[],"preferred":false,"id":712434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194633,"text":"70194633 - 2017 - A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada","interactions":[],"lastModifiedDate":"2020-12-16T16:59:11.151556","indexId":"70194633","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada","docAbstract":"<p><span>We present a revised list of freshwater mussels (order Unionida, families Margaritiferidae and Unionidae) of the United States and Canada, incorporating changes in nomenclature and systematic taxonomy since publication of the most recent checklist in 1998. We recognize a total of 298 species in 55 genera in the families Margaritiferidae (one genus, five species) and Unionidae (54 genera, 293 species). We propose one change in the Margaritiferidae: the placement of the formerly monotypic genus&nbsp;</span><i>Cumberlandia</i><span>&nbsp;in the synonymy of&nbsp;</span><i>Margaritifera.</i><span>&nbsp;In the Unionidae, we recognize three new genera, elevate four genera from synonymy, and place three previously recognized genera in synonymy. We recognize for the first time two species (one native and one nonindigenous) in the Asian genus&nbsp;</span><i>Sinanodonta</i><span>&nbsp;as occurring in North America. We recognize four new species and one subspecies and elevate 21 species from synonymy. We elevate 10 subspecies to species status and no longer recognize four subspecies. We change common names for five taxa, correct spelling for eight species, and correct the date of publication of original descriptions for four species.</span></p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v20i2.2017.33-58","usgsCitation":"Williams, J.D., Bogan, A.E., Butler, R., Cummings, K.S., Garner, J.T., Harris, J.L., Johnson, N.A., and Watters, G.T., 2017, A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada: Freshwater Mollusk Biology and Conservation, v. 20, no. 2, p. 33-58, https://doi.org/10.31931/fmbc.v20i2.2017.33-58.","productDescription":"26 p.","startPage":"33","endPage":"58","ipdsId":"IP-086632","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v20i2.2017.33-58","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb39e4b06e28e9c22e05","contributors":{"authors":[{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":724660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogan, Arthur E.","contributorId":198854,"corporation":false,"usgs":false,"family":"Bogan","given":"Arthur","email":"","middleInitial":"E.","affiliations":[{"id":35349,"text":"North Carolina State Museum of Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":724661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Robert S.","contributorId":138875,"corporation":false,"usgs":false,"family":"Butler","given":"Robert S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":724662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cummings, Kevin S.","contributorId":201223,"corporation":false,"usgs":false,"family":"Cummings","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garner, Jeffrey T.","contributorId":201224,"corporation":false,"usgs":false,"family":"Garner","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, John L.","contributorId":201225,"corporation":false,"usgs":false,"family":"Harris","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":724659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Watters, G. Thomas","contributorId":201226,"corporation":false,"usgs":false,"family":"Watters","given":"G.","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":724666,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193775,"text":"70193775 - 2017 - Sex difference in PCB concentrations of a catostomid fish","interactions":[],"lastModifiedDate":"2025-05-21T14:43:00.473932","indexId":"70193775","displayToPublicDate":"2017-10-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5543,"text":"Journal of Environmental & Analytical Toxicology","onlineIssn":"2161-0525","active":true,"publicationSubtype":{"id":10}},"title":"Sex difference in PCB concentrations of a catostomid fish","docAbstract":"<p><span>Unraveling the complexities associated with the relative differences in contaminant concentrations between the sexes of mature fish may provide insights into important behavioral and physiological differences between the sexes of not just fish but higher vertebrates as well. Whole-fish polychlorinated biphenyl (PCB) concentrations were determined in 25 mature female white suckers (Catostomus commersoni) and 26 mature male white suckers caught during their spawning run in the Kewaunee River, a tributary to Lake Michigan. Total length and weight were measured for each fish, and age of each fish was estimated from thin-sectioned otoliths. PCB concentration significantly increased with increasing total length, weight, and age. Consequently, three analysis of covariance (ANCOVA) models were fitted to the data to assess the effect of sex on white sucker PCB concentration. Based on model averaging, estimates of mean PCB concentrations in female and male white suckers were 185 and 219 ng/g, respectively. Thus, males were 18% greater in PCB concentration than females. We conclude that this difference between the sexes was most likely mainly driven by a higher rate of energy expenditure in males compared with females. Greater energy expenditure, owing to greater swimming activity and a higher resting&nbsp;</span>metabolic rate<span>, resulted in a higher rate of food consumption, which in turn led to a greater rate of PCB accumulation. Higher whole-fish PCB concentration in males compared with females has now been shown in nine different fish species. Our study represented the first documentation of this type of sex difference in a catostomid fish.</span></p>","language":"English","publisher":"OMICS International","doi":"10.4172/2161-0525.1000515","usgsCitation":"Madenjian, C.P., Stevens, A.L., Stapanian, M.A., Batterman, S.A., Chernyak, S.M., Menczer, J.E., and McIntyre, P.B., 2017, Sex difference in PCB concentrations of a catostomid fish: Journal of Environmental & Analytical Toxicology, v. 7, no. 6, 1000515, 6 p., https://doi.org/10.4172/2161-0525.1000515.","productDescription":"1000515, 6 p.","ipdsId":"IP-090486","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":348466,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":469441,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2161-0525.1000515","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Kewaunee River, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.55987644195555,\n              44.454981738717876\n            ],\n            [\n              -87.53923416137695,\n              44.454981738717876\n            ],\n            [\n              -87.53923416137695,\n              44.46380338011975\n            ],\n            [\n              -87.55987644195555,\n              44.46380338011975\n            ],\n            [\n              -87.55987644195555,\n              44.454981738717876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b3e4b0dc0b45b4531a","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":720379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew L.","contributorId":199914,"corporation":false,"usgs":false,"family":"Stevens","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":720385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batterman, Stuart A.","contributorId":199915,"corporation":false,"usgs":false,"family":"Batterman","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chernyak, Sergei M.","contributorId":199916,"corporation":false,"usgs":false,"family":"Chernyak","given":"Sergei","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menczer, Jordan E.","contributorId":199917,"corporation":false,"usgs":false,"family":"Menczer","given":"Jordan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":720384,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204370,"text":"70204370 - 2017 - Viability analysis for multiple populations","interactions":[],"lastModifiedDate":"2019-07-22T13:39:20","indexId":"70204370","displayToPublicDate":"2017-10-13T13:35:43","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Viability analysis for multiple populations","docAbstract":"<p>Many species of conservation interest exist solely or largely in isolated populations. Ideally, prioritization of management actions among such populations would be guided by quantitative estimates of extinction risk, but conventional methods of demographic population viability analysis (PVA) model each population separately and require temporally extensive datasets that are rarely available in practice. We introduce a general class of statistical PVA that can be applied to many populations at once, which we term multiple population viability analysis or MPVA. The approach combines models of abundance at multiple spatial locations with temporal models of population dynamics, effectively borrowing information from more data-rich populations to inform inferences for data-poor populations. Covariates are used to explain population variability in space and time. Using Bayesian analysis, we illustrate the method with a dataset of Lahontan cutthroat trout (<i>Oncorhynchus clarkii henshawi</i>) observations that previously had been analyzed with conventional PVA. We find that MPVA predictions are similar in bias and higher in precision than predictions from simple PVA models that treat each population individually; moreover, the use of covariates in MPVA allows for predictions in minimally-sampled and unsampled populations. The basic MPVA model can be extended in multiple ways, such as by linking to a sampling and observation model to provide a full accounting of uncertainty. We conclude that the approach has great potential to expand the use of PVA for species that exist in multiple, isolated populations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.10.006","usgsCitation":"Wenger, S.J., Leasure, D.R., Dauwalter, D.C., Peacock, M.M., Dunham, J.B., Chelgren, N., and Neville, H.M., 2017, Viability analysis for multiple populations: Biological Conservation, v. 216, p. 69-77, https://doi.org/10.1016/j.biocon.2017.10.006.","productDescription":"9 p.","startPage":"69","endPage":"77","ipdsId":"IP-090218","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":365804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"216","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":766568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":766569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauwalter, Daniel C.","contributorId":214339,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":766570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peacock, Mary M.","contributorId":167605,"corporation":false,"usgs":false,"family":"Peacock","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":24774,"text":"Department of Natural Resources, College of Agriculture and Life","active":true,"usgs":false}],"preferred":false,"id":766571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":766567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":766573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neville, Helen M.","contributorId":214338,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":766572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190439,"text":"sir20175085 - 2017 - Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Barbour Pointe, Chatham County, Georgia","interactions":[],"lastModifiedDate":"2017-10-26T15:49:51","indexId":"sir20175085","displayToPublicDate":"2017-10-13T03:00:00","publicationYear":"2017","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":"2017-5085","title":"Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Barbour Pointe, Chatham County, Georgia","docAbstract":"<p>Steady-state simulations using a revised regional groundwater-flow model based on MODFLOW were run to assess the potential long-term effects on the Upper Floridan aquifer (UFA) of pumping the Lower Floridan aquifer (LFA) at well 36Q398, located at Barbour Pointe in coastal Georgia near Savannah. Simulated pumping of well 36Q398 at a rate of 750 gallons per minute (gal/min; or 1.08 million gallons per day [Mgal/d]) indicated a maximum drawdown of about 2.19 feet (ft) in the UFA directly above the pumped well and at least 1 ft of drawdown within a nearly 190-square-mile area (scenario A). Induced vertical leakage from the UFA provided about 98 percent of the water to the pumped well. Simulated pumping of well 36Q398 caused increased downward leakage in all layers above the LFA, decreased upward leakage in all layers above the LFA, increased inflow to and decreased outflow from lateral specified-head boundaries in the UFA and LFA, and an increase in the volume of induced inflow from the general-head boundary representing outcrop units. Water budgets for scenario A indicated that changes in inflows and outflows through general-head boundaries would compose about 45 percent of the simulated pumpage from well 36Q398, with the remaining 55 percent of the pumped water derived from flow across lateral specified-head boundaries.</p><p>Additional steady-state simulations were run to evaluate a pumping rate in the UFA of 240 gal/min (0.346 Mgal/d), which would produce an equivalent maximum drawdown in the UFA as pumping from well 36Q398 in the LFA at a rate of 750 gal/min (called the “drawdown offset”; scenario B). Simulated pumping in the UFA for the drawdown offset produced about 2.18 ft of drawdown, comparable to 2.19 ft of drawdown in the UFA simulated in scenario A. Water budgets for scenario B also provided favorable comparisons with scenario A, indicating that 42 percent of the drawdown-offset pumpage (0.346 Mgal/d) in the UFA originates as increased inflow and decreased outflow across general-head boundaries from overlying units in the surficial and Brunswick aquifer systems and that the remaining simulated pumpage originates as flow across general- and specified-head boundaries within the UFA and LFA.</p><p>The revised model was evaluated for sensitivity by first altering horizontal and vertical hydraulic conductivity in the Lower Floridan semiconfining unit and then adjusting horizontal and vertical hydraulic conductivity in the LFA to match the 35.6 ft of drawdown at pumping well 36Q398. These adjustments also affected the maximum simulated drawdown in the UFA and the equivalent offset pumping in the UFA that would produce the same amount of drawdown. The maximum drawdown in the UFA ranged from 1.82 to 2.57 ft and the equivalent offset pumping in the UFA ranged from 199 to 278 gal/min.</p><p>The revised model reasonably depicts changes in groundwater levels resulting from pumping the LFA at Barbour Pointe at a rate of 750 gal/min. Results are limited, however, by the same model assumptions and design as the original model, and placement of boundaries and type of boundary used exert the greatest control on overall groundwater flow and interaquifer leakage in the system. Simulation results have improved regional characterization of the Floridan aquifer system, which could be used by State officials in evaluating requests for groundwater withdrawal from the LFA.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175085","collaboration":"Prepared in cooperation with Consolidated Utilities LLC","usgsCitation":"Cherry, G.S., and Clarke, J.S., 2017, Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Barbour Pointe, Chatham County, Georgia: U.S. Geological Survey Scientific Investigations Report 2017–5085, 34 p., https://doi.org/10.3133/sir20175085.","productDescription":"Report: vi, 34 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-045187","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5085/sir20175085.pdf","text":"Report","description":"SIR 2017-5085"},{"id":346500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5085/coverthb.jpg"},{"id":346502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VH5KZ1","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"MODFLOW grid for simulations used to evaluate the potential effect of Lower Floridan aquifer groundwater pumpage on the Upper Floridan aquifer at Barbour Pointe community in Chatham County, Georgia"}],"country":"United States","state":"Georgia","county":"Chatham County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.3922119140625,\n              32.09595459833164\n            ],\n            [\n              -81.13883972167969,\n              31.717654042594468\n            ],\n            [\n              -80.82847595214842,\n              32.02146689475617\n            ],\n            [\n              -81.17729187011719,\n              32.24823229303316\n            ],\n            [\n              -81.3922119140625,\n              32.09595459833164\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://sc.water.usgs.gov/\" data-mce-href=\"https://sc.water.usgs.gov/\">South Atlantic Water Science Center</a><br> U.S. Geological Survey<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210</p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-10-26","noUsgsAuthors":false,"publicationDate":"2017-10-26","publicationStatus":"PW","scienceBaseUri":"5a07e869e4b09af898c8cb68","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, John S.","contributorId":196060,"corporation":false,"usgs":false,"family":"Clarke","given":"John S.","affiliations":[],"preferred":false,"id":709154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190840,"text":"sir20175103 - 2017 - Hydraulic and biological analysis of the passability of select fish species at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","interactions":[],"lastModifiedDate":"2024-03-04T19:40:56.663002","indexId":"sir20175103","displayToPublicDate":"2017-10-13T03:00:00","publicationYear":"2017","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":"2017-5103","title":"Hydraulic and biological analysis of the passability of select fish species at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","docAbstract":"<p>Recent efforts to advance river connectivity for the Millstone River watershed in New Jersey have led to the evaluation of a low-flow gauging weir that spans the full width of the river. The methods and results of a desktop modelling exercise were used to evaluate the potential ability of three anadromous fish species (<i>Alosa sapidissima</i> [American shad], <i>Alosa pseudoharengus</i> [alewife], and <i>Alosa aestivalis</i> [blueback herring]) to pass upstream over the U.S. Geological Survey Blackwells Mills streamgage (01402000) and weir on the Millstone River, New Jersey, at various streamflows, and to estimate the probability that the weir will be passable during the spring migratory season.</p><p>&nbsp;Based on data from daily fishway counts downstream from the Blackwells Mills streamgage and weir between 1996 and 2014, the general migratory period was defined as April 14 to May 28. Recorded water levels and flow data were used to theoretically estimate water depths and velocities over the weir, as well as flow exceedances occurring during the migratory period.</p><p>Results indicate that the weir is a potential depth barrier to fish passage when streamflows are below 200 cubic feet per second using a 1-body-depth criterion for American shad (the largest fish among the target species). Streamflows in that range occur on average 35 percent of the time during the migratory period. An increase of the depth criterion to 2 body depths causes the weir to become a possible barrier to passage when flows are below 400 cubic feet per second. Streamflows in that range occur on average 73 percent of the time during the migration season. Average cross-sectional velocities at several points along the weir do not seem to be limiting to the fish migration, but maximum theoretical velocities estimated without friction loss over the face of the weir could be potentially limiting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175103","usgsCitation":"Haro, Alex, Mulligan, Kevin, Suro, T.P., Noreika, John, and McHugh, Amy, 2017, Hydraulic and biological analysis of the passability of select fish species at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2017–5103, 15 p., https://doi.org/10.3133/sir20175103.","productDescription":"viii, 15 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-082637","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":346487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5103/coverthb.jpg"},{"id":346491,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5103/sir20175103.pdf","text":"Report","size":"3.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5103"}],"country":"United States","state":"New Jersey","otherGeospatial":"Millstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.66995239257812,\n              40.45060475430765\n            ],\n            [\n              -74.48867797851562,\n              40.45060475430765\n            ],\n            [\n              -74.48867797851562,\n              40.567545853080496\n            ],\n            [\n              -74.66995239257812,\n              40.567545853080496\n            ],\n            [\n              -74.66995239257812,\n              40.45060475430765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430<br>Email: <a href=\"mailto:gs_nea_lsc_publications@usgs.gov\" data-mce-href=\"mailto:gs_nea_lsc_publications@usgs.gov\">gs_nea_lsc_publications@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Fish Passability During the Period of Migration</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-10-16","noUsgsAuthors":false,"publicationDate":"2017-10-16","publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9ce","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":710635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Kevin B. 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":710636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":710638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noreika, John 0000-0002-6637-5812 jnoreika@usgs.gov","orcid":"https://orcid.org/0000-0002-6637-5812","contributorId":167858,"corporation":false,"usgs":true,"family":"Noreika","given":"John","email":"jnoreika@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHugh, Amy R. 0000-0002-7745-9886 amchugh@usgs.gov","orcid":"https://orcid.org/0000-0002-7745-9886","contributorId":192882,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy","email":"amchugh@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710637,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191484,"text":"70191484 - 2017 - Downstream migration and multiple dam passage by Atlantic Salmon smolts","interactions":[],"lastModifiedDate":"2017-10-13T12:51:37","indexId":"70191484","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","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":"Downstream migration and multiple dam passage by Atlantic Salmon smolts","docAbstract":"<p><span>The purpose of this study was to investigate behavior and survival of radio-tagged wild and hatchery-reared landlocked Atlantic Salmon&nbsp;</span><i>Salmo salar</i><span><span>&nbsp;</span>smolts as they migrated past three hydropower dams equipped with fish bypass solutions in the Winooski River, Vermont. Among hatchery-reared smolts, those released early were more likely to initiate migration and did so after less delay than those released late. Once migration was initiated, however, the late-released hatchery smolts migrated at greater speeds. Throughout the river system, hatchery-reared fish performed similarly to wild fish. Dam passage rates varied between the three dams and was highest at the dam where unusually high spill levels occurred throughout the study period. Of the 50 fish that did migrate downstream, only 10% managed to reach the lake. Migration success was low despite the presence of bypass solutions, underscoring the need for evaluations of remedial measures; simply constructing a fishway is not synonymous with providing fish passage.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2017.1327900","usgsCitation":"Nyqvist, D., McCormick, S.D., Greenberg, L., Ardren, W., Bergman, E., Calles, O., and Castro-Santos, T.R., 2017, Downstream migration and multiple dam passage by Atlantic Salmon smolts: North American Journal of Fisheries Management, v. 37, no. 4, p. 816-828, https://doi.org/10.1080/02755947.2017.1327900.","productDescription":"13 p.","startPage":"816","endPage":"828","ipdsId":"IP-078061","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":346593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Winooski River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.28910827636717,\n              44.3768766587829\n            ],\n            [\n              -72.93342590332031,\n              44.3768766587829\n            ],\n            [\n              -72.93342590332031,\n              44.54448397425684\n            ],\n            [\n              -73.28910827636717,\n              44.54448397425684\n            ],\n            [\n              -73.28910827636717,\n              44.3768766587829\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59e1d096e4b05fe04cd1179d","contributors":{"authors":[{"text":"Nyqvist, D.","contributorId":197052,"corporation":false,"usgs":false,"family":"Nyqvist","given":"D.","affiliations":[],"preferred":false,"id":712397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenberg, L.","contributorId":184176,"corporation":false,"usgs":false,"family":"Greenberg","given":"L.","email":"","affiliations":[],"preferred":false,"id":712399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ardren, W.R.","contributorId":197053,"corporation":false,"usgs":false,"family":"Ardren","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":712400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":184179,"corporation":false,"usgs":false,"family":"Bergman","given":"E.","email":"","affiliations":[],"preferred":false,"id":712401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calles, O.","contributorId":184178,"corporation":false,"usgs":false,"family":"Calles","given":"O.","email":"","affiliations":[],"preferred":false,"id":712402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191459,"text":"70191459 - 2017 - Changes in habitat availability for multiple life stages of diamondback terrapins (Malaclemys terrapin) in Chesapeake Bay in response to sea level rise","interactions":[],"lastModifiedDate":"2017-10-13T10:57:57","indexId":"70191459","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Changes in habitat availability for multiple life stages of diamondback terrapins (<i>Malaclemys terrapin</i>) in Chesapeake Bay in response to sea level rise","title":"Changes in habitat availability for multiple life stages of diamondback terrapins (Malaclemys terrapin) in Chesapeake Bay in response to sea level rise","docAbstract":"Global sea level rise (SLR) will significantly alter\ncoastal landscapes through inundation and erosion of lowlying\nareas. Animals that display area fidelity and rely on\nfringing coastal habitats during multiple life stages, such as\ndiamondback terrapins (Malaclemys terrapin Schoepff 1793),\nare likely to be particularly vulnerable to SLR-induced changes.\nWe used a combination of empirical nest survey data and\nresults from a regional SLR model to explore the long-term\navailability of known nesting locations and the modeled availability\nof fringing coastal habitats under multiple SLR scenarios\nfor diamondback terrapin in the MD portion of\nChesapeake Bay and the MD coastal bays. All SLR scenarios\nprojected the rapid inundation of historically used nesting locations\nof diamondback terrapins with 25%–55% loss within\nthe next 10 years and over 80% loss by the end of the century.\nModel trajectories of habitat losses or gains depended on habitat\ntype and location. A key foraging habitat, brackish marsh,\nwas projected to decline 6%–94%, with projections varying\nspatially and among scenarios. Despite predicted losses of\nextant beach habitats, future gains in beach habitat due to\nerosion and overwash were projected to reach 40%–600%.\nThese results demonstrate the potential vulnerability of diamondback terrapins to SLR in Chesapeake Bay and underscore\nthe possibility of compounding negative effects of SLR\non animals whose habitat requirements differ among life\nstages. More broadly, this study highlights the vulnerability\nof species dependent on fringing coastal habitats and emphasizes\nthe need for a long-term perspective for coastal development\nin the face of SLR.","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0209-2","usgsCitation":"Woodland, R.J., Rowe, C.L., and Henry, P.F., 2017, Changes in habitat availability for multiple life stages of diamondback terrapins (Malaclemys terrapin) in Chesapeake Bay in response to sea level rise: Estuaries and Coasts, v. 40, no. 5, p. 1502-1515, https://doi.org/10.1007/s12237-017-0209-2.","productDescription":"14 p.","startPage":"1502","endPage":"1515","ipdsId":"IP-077271","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.62139892578125,\n              37.88569271818349\n            ],\n            [\n              -75.60516357421874,\n              37.88569271818349\n            ],\n            [\n              -75.60516357421874,\n              39.612036199336956\n            ],\n            [\n              -76.62139892578125,\n              39.612036199336956\n            ],\n            [\n              -76.62139892578125,\n              37.88569271818349\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"59e1d097e4b05fe04cd117a3","contributors":{"authors":[{"text":"Woodland, Ryan J.","contributorId":197043,"corporation":false,"usgs":false,"family":"Woodland","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Christopher L.","contributorId":197044,"corporation":false,"usgs":false,"family":"Rowe","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191488,"text":"70191488 - 2017 - Productivity and CO<sub>2</sub> exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates","interactions":[],"lastModifiedDate":"2017-10-18T17:09:03","indexId":"70191488","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Productivity and CO<sub>2</sub> exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates","docAbstract":"<p><span>The shortgrass steppe (SGS) occupies the southwestern part of the Great Plains. Half of the land is cultivated, but significant areas remain under natural vegetation. Despite previous studies of the SGS carbon cycle, not all aspects have been completely addressed, including gross productivity, ecosystem respiration, and ecophysiological parameters. Our analysis of 1998</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>2007 flux tower measurements at five Bowen ratio–energy balance (BREB) and three eddy covariance (EC) sites characterized seasonal and interannual variability of gross<span> photosynthesis</span><span>&nbsp;</span>and ecosystem respiration. Identification of the nonrectangular hyperbolic equation for the diurnal CO</span><sub>2</sub><span><span>&nbsp;</span>exchange, with vapor pressure deficit (VPD) limitation and exponential temperature response, quantified quantum yield<span>&nbsp;</span></span><i>α</i><span>,<span> photosynthetic capacity</span>&nbsp;</span><i>A</i><sub><i>max</i></sub><span>, and respiration rate<span>&nbsp;</span></span><i>r</i><sub><i>d</i></sub><span><span>&nbsp;</span>with variation ranges (19 \\&lt;<span>&nbsp;</span></span><i>α</i><span><span>&nbsp;\\</span>&lt; 51 mmol mol</span><sup>−&nbsp;1</sup><span>, 0.48 \\&lt;<span>&nbsp;</span></span><i>A</i><sub><i>max</i></sub><span><span>&nbsp;\\</span>&lt; 2.1 mg CO</span><sub>2</sub><span><span>&nbsp;</span>m</span><sup>−&nbsp;2</sup><span><span>&nbsp;</span>s</span><sup>−&nbsp;1</sup><span>, 0.15 \\&lt;<span>&nbsp;</span></span><i>r</i><sub><i>d</i></sub><span><span>&nbsp;\\</span>&lt; 0.49 mg CO</span><sub>2</sub><span><span>&nbsp;</span>m</span><sup>−&nbsp;2</sup><span><span>&nbsp;</span>s</span><sup>−&nbsp;1</sup><span>). Gross photosynthesis varied from 1 100 to 2 700 g CO</span><sub>2</sub><span><span>&nbsp;</span>m</span><sup>−&nbsp;2</sup><span><span>&nbsp;</span>yr</span><sup>−&nbsp;1</sup><span>, respiration from 900 to 3,000 g CO</span><sub>2</sub><span><span>&nbsp;</span>m</span><sup>−&nbsp;2</sup><span><span>&nbsp;</span>yr</span><sup>−&nbsp;1</sup><span>, and net ecosystem production from −</span><span>&nbsp;</span><span>900 to +</span><span>&nbsp;</span><span>700 g CO</span><sub>2</sub><span><span>&nbsp;</span>m</span><sup>−&nbsp;2</sup><span><span>&nbsp;</span>yr</span><sup>−&nbsp;1</sup><span>, indicating that SGS may switch from a sink to a source depending on weather. Comparison of the 2004</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>2006 measurements at two BREB and two parallel EC flux towers located at comparable SGS sites showed moderately higher photosynthesis, lower respiration, and higher net production at the BREB than EC sites. However, the difference was not related only to methodologies, as the normalized difference vegetation index at the BREB sites was higher than at the EC sites. Overall magnitudes and seasonal patterns at the BREB and the EC sites during the 3-yr period were similar, with trajectories within the ± 1.5 standard deviation around the mean of the four sites and mostly reflecting the effects of meteorology.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2017.06.007","usgsCitation":"Gilmanov, T.G., Morgan, J.A., Hanan, N., Wylie, B.K., Rajan, N., Smith, D.P., and Howard, D., 2017, Productivity and CO<sub>2</sub> exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates: Rangeland Ecology and Management, v. 70, no. 6, p. 700-717, https://doi.org/10.1016/j.rama.2017.06.007.","productDescription":"18 p.","startPage":"700","endPage":"717","ipdsId":"IP-063726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":461387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2017.06.007","text":"Publisher Index Page"},{"id":346604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105,\n              40.6667\n            ],\n            [\n              -104.1667,\n              40.6667\n            ],\n            [\n              -104.1667,\n              41.1667\n            ],\n            [\n              -105,\n              41.1667\n            ],\n            [\n              -105,\n              40.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d095e4b05fe04cd11798","contributors":{"authors":[{"text":"Gilmanov, Tagir G.","contributorId":82162,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Jack A.","contributorId":66982,"corporation":false,"usgs":true,"family":"Morgan","given":"Jack","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanan, Niall P.","contributorId":86667,"corporation":false,"usgs":true,"family":"Hanan","given":"Niall P.","affiliations":[],"preferred":false,"id":712417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":712414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rajan, Nithya","contributorId":197061,"corporation":false,"usgs":false,"family":"Rajan","given":"Nithya","email":"","affiliations":[],"preferred":false,"id":712418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, David P.","contributorId":197062,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":712420,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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