{"pageNumber":"1308","pageRowStart":"32675","pageSize":"25","recordCount":184769,"records":[{"id":70145858,"text":"70145858 - 2015 - Proceedings of the International Miconia Conference","interactions":[],"lastModifiedDate":"2018-01-04T12:46:04","indexId":"70145858","displayToPublicDate":"2009-05-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Proceedings of the International Miconia Conference","docAbstract":"

This proceedings is a compilation of 15 of the 27 papers and posters that were presented at the 2009 International Miconia Conference. The Conference was held in Keanae Hawaii May 4th to 7th 2009, hosted by the Maui Invasive Species Committee. *No official abstract was available for the proceedings...K. Keck

","conferenceTitle":"International Miconia Conference","conferenceDate":"May 4-7, 2009","conferenceLocation":"Maui, Hawaii","language":"English","publisher":"University of Hawaii at Manoa","usgsCitation":"Loope, L., Meyer, J., Hardesty, B.D., and Smith, C.W., 2015, Proceedings of the International Miconia Conference, International Miconia Conference, Maui, Hawaii, May 4-7, 2009, 158 p.","productDescription":"158 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025395","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":311773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299523,"type":{"id":15,"text":"Index Page"},"url":"https://www.hear.org/conferences/miconia2009/proceedings/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ed2bae4b071e7ea544433","contributors":{"authors":[{"text":"Loope, L.L.","contributorId":43126,"corporation":false,"usgs":true,"family":"Loope","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":580797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, J.-Y.","contributorId":150138,"corporation":false,"usgs":false,"family":"Meyer","given":"J.-Y.","email":"","affiliations":[],"preferred":false,"id":580798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardesty, B. D.","contributorId":150139,"corporation":false,"usgs":false,"family":"Hardesty","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":580799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, C. W.","contributorId":57457,"corporation":false,"usgs":true,"family":"Smith","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":580800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156062,"text":"70156062 - 2015 - Markov decision processes in natural resources management: observability and uncertainty","interactions":[],"lastModifiedDate":"2015-08-14T15:19:59","indexId":"70156062","displayToPublicDate":"2009-02-14T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Markov decision processes in natural resources management: observability and uncertainty","docAbstract":"

The breadth and complexity of stochastic decision processes in natural resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to natural resources conservation and management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in natural resources management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2008.12.023","usgsCitation":"Williams, B., 2015, Markov decision processes in natural resources management: observability and uncertainty: Ecological Modelling, v. 220, no. 6, p. 830-840, https://doi.org/10.1016/j.ecolmodel.2008.12.023.","productDescription":"11 p.","startPage":"830","endPage":"840","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007547","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cf112ae4b01487cbfc77bb","contributors":{"authors":[{"text":"Williams, Byron K.","contributorId":146540,"corporation":false,"usgs":true,"family":"Williams","given":"Byron K.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":567785,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156077,"text":"70156077 - 2015 - Brood rearing ecology of King Eiders breeding on the North Slope of Alaska","interactions":[],"lastModifiedDate":"2015-08-14T13:52:46","indexId":"70156077","displayToPublicDate":"2009-01-18T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Brood rearing ecology of King Eiders breeding on the North Slope of Alaska","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/08-125.1","usgsCitation":"Phillips, L.M., and Powell, A., 2015, Brood rearing ecology of King Eiders breeding on the North Slope of Alaska: Wilson Journal of Ornithology, v. 121, no. 2, p. 430-434, https://doi.org/10.1676/08-125.1.","productDescription":"5 p.","startPage":"430","endPage":"434","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009010","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.7763671875,\n 69.08425705053145\n ],\n [\n -150.7763671875,\n 70.50290843859874\n ],\n [\n -145.61279296875,\n 70.50290843859874\n ],\n [\n -145.61279296875,\n 69.08425705053145\n ],\n [\n -150.7763671875,\n 69.08425705053145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cf1129e4b01487cbfc77b6","contributors":{"authors":[{"text":"Phillips, Laura M.","contributorId":49497,"corporation":false,"usgs":false,"family":"Phillips","given":"Laura","email":"","middleInitial":"M.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":568169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Abby N. abby_powell@usgs.gov","contributorId":2534,"corporation":false,"usgs":false,"family":"Powell","given":"Abby N.","email":"abby_powell@usgs.gov","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":567829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70146197,"text":"70146197 - 2015 - Association of anatase (TiO2) and microbes: unusual fossilization effect or a potential biosignature?","interactions":[],"lastModifiedDate":"2015-04-22T15:28:49","indexId":"70146197","displayToPublicDate":"2009-01-01T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Association of anatase (TiO2) and microbes: unusual fossilization effect or a potential biosignature?","docAbstract":"

We combined microbial paleontology and molecular biology methods to study the Eyreville B drill core from the 35.3-Ma-old Chesapeake Bay impact structure,Virginia, USA. The investigated sample is a pyrite vein collected from the 1353.81-1353.89 m depth interval, located within a section of biotite granite. The granite is a pre-impact rock that was disrupted by the impact event. A search for inorganic (mineral) biosignatures revealed the presence of micron-size rod morphologies of anatase (TiO2) embedded in chlorite coatings on pyrite grains. Neither the Acridine Orange microbial probe nor deoxyribonucleic acid (DNA) extraction followed by polymerase chain reaction (PCR) amplifi cation showed the presence of DNA or ribonucleic acid (RNA) at the location of anatase rods, implying the absence of viable cells in the investigated area. A Nile Red microbial probe revealed the presence of lipids in the rods. Because most of the lipids are resistant over geologic time spans, they are good biomarkers, and they are an indicator of biogenicity for these possibly 35-Ma-old microbial fossils. The mineral assemblage suggests that rod morphologies are associated with low-temperature (<100 °C) hydrothermal alteration that involved aqueous fl uids. The temporal constraints on the anatase fossils are still uncertain because pre-impact alteration of the granite and postimpact heating may have provided identical conditions for anatase precipitation and microbial preservation.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1130/2009.2458(42)","usgsCitation":"Glamoclija, M., Andrew Steele, Fries, M., Juergen Schieber, Voytek, M.A., and Charles S. Cockell, 2015, Association of anatase (TiO2) and microbes: unusual fossilization effect or a potential biosignature?: Geological Society of America Bulletin, v. 458, p. 965-975, https://doi.org/10.1130/2009.2458(42).","productDescription":"11 p.","startPage":"965","endPage":"975","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007072","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":299791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"458","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55362331e4b0b22a15807a7f","contributors":{"authors":[{"text":"Glamoclija, Mihaela","contributorId":140220,"corporation":false,"usgs":false,"family":"Glamoclija","given":"Mihaela","email":"","affiliations":[{"id":13418,"text":"Carnegie Inst. of Washington","active":true,"usgs":false}],"preferred":false,"id":544771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrew Steele","contributorId":140217,"corporation":false,"usgs":false,"family":"Andrew Steele","affiliations":[{"id":13418,"text":"Carnegie Inst. of Washington","active":true,"usgs":false}],"preferred":false,"id":544767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fries, Marc","contributorId":140219,"corporation":false,"usgs":false,"family":"Fries","given":"Marc","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":544770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juergen Schieber","contributorId":140218,"corporation":false,"usgs":false,"family":"Juergen Schieber","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":544769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":545333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Charles S. Cockell","contributorId":140215,"corporation":false,"usgs":false,"family":"Charles S. Cockell","affiliations":[{"id":13416,"text":"Open University, UK","active":true,"usgs":false}],"preferred":false,"id":544768,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70150452,"text":"70150452 - 2015 - The role of floodplain restoration in mitigating flood risk, Lower Missouri River, USA","interactions":[],"lastModifiedDate":"2016-12-02T11:06:49","indexId":"70150452","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The role of floodplain restoration in mitigating flood risk, Lower Missouri River, USA","docAbstract":"

Recent extreme floods on the Lower Missouri River have reinvigorated public policy debate about the potential role of floodplain restoration in decreasing costs of floods and possibly increasing other ecosystem service benefits. The first step to addressing the benefits of floodplain restoration is to understand the interactions of flow, floodplain morphology, and land cover that together determine the biophysical capacity of the floodplain. In this article we address interactions between ecological restoration of floodplains and flood-risk reduction at 3 scales. At the scale of the Lower Missouri River corridor (1300 km) floodplain elevation datasets and flow models provide first-order calculations of the potential for Missouri River floodplains to store floods of varying magnitude and duration. At this same scale assessment of floodplain sand deposition from the 2011 Missouri River flood indicates the magnitude of flood damage that could potentially be limited by floodplain restoration. At the segment scale (85 km), 1-dimensional hydraulic modeling predicts substantial stage reductions with increasing area of floodplain restoration; mean stage reductions range from 0.12 to 0.66 m. This analysis also indicates that channel widening may contribute substantially to stage reductions as part of a comprehensive strategy to restore floodplain and channel habitats. Unsteady 1-dimensional flow modeling of restoration scenarios at this scale indicates that attenuation of peak discharges of an observed hydrograph from May 2007, of similar magnitude to a 10 % annual exceedance probability flood, would be minimal, ranging from 0.04 % (with 16 % floodplain restoration) to 0.13 % (with 100 % restoration). At the reach scale (15–20 km) 2-dimensional hydraulic models of alternative levee setbacks and floodplain roughness indicate complex processes and patterns of flooding including substantial variation in stage reductions across floodplains depending on topographic complexity and hydraulic roughness. Detailed flow patterns captured in the 2-dimensional model indicate that most floodplain storage occurs on the rising limb of the flood as water flows into floodplain bottoms from downstream; at a later time during the rising limb this pattern is reversed and the entire bottom conveys discharge down the valley. These results indicate that flood-risk reduction by attenuation is likely to be small on a large river like the Missouri and design strategies to optimize attenuation and ecological restoration should focus on frequent floods (20–50 % annual exceedance probability). Local stage reductions are a more certain benefit of floodplain restoration but local effects are highly dependent on magnitude of flood discharge and how floodplain vegetation communities contribute to hydraulic roughness. The most certain flood risk reduction benefit of floodplain restoration is avoidance of flood damages to crops and infrastructure.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geomorphic approaches to integrated floodplain management of lowland fluvial systems in North America and Europe","language":"English","publisher":"Springer New York","publisherLocation":"New York, NY","doi":"10.1007/978-1-4939-2380-9_9","usgsCitation":"Jacobson, R.B., Lindner, G., and Bitner, C., 2015, The role of floodplain restoration in mitigating flood risk, Lower Missouri River, USA, chap. of Geomorphic approaches to integrated floodplain management of lowland fluvial systems in North America and Europe, p. 203-243, https://doi.org/10.1007/978-1-4939-2380-9_9.","productDescription":"41 p.","startPage":"203","endPage":"243","numberOfPages":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038740","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":324564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Kansas, Minnesota, Missouri, Nebraska, South Dakota","otherGeospatial":"Lower Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.087890625,\n 38.61687046392973\n ],\n [\n -96.70166015624999,\n 44.33956524809713\n ],\n [\n -100.634765625,\n 44.43377984606822\n ],\n [\n -100.546875,\n 38.25543637637947\n ],\n [\n -92.92236328125,\n 36.686041276581925\n ],\n [\n -91.38427734374999,\n 37.579412513438385\n ],\n [\n -90.087890625,\n 38.61687046392973\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-30","publicationStatus":"PW","scienceBaseUri":"57739fb8e4b07657d1a90d93","contributors":{"editors":[{"text":"Hudson, Paul F.","contributorId":138603,"corporation":false,"usgs":false,"family":"Hudson","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12461,"text":"Leiden University College The Hague","active":true,"usgs":false}],"preferred":false,"id":654809,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Middelkoop, Hans","contributorId":177152,"corporation":false,"usgs":false,"family":"Middelkoop","given":"Hans","email":"","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":654810,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":556901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindner, Garth A.","contributorId":143717,"corporation":false,"usgs":false,"family":"Lindner","given":"Garth A.","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":556903,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bitner, Chance","contributorId":143716,"corporation":false,"usgs":false,"family":"Bitner","given":"Chance","email":"","affiliations":[{"id":15308,"text":"U.S. Army Corps of Engineers, Kansas City","active":true,"usgs":false}],"preferred":false,"id":556902,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70147052,"text":"70147052 - 2015 - Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","interactions":[],"lastModifiedDate":"2017-06-12T10:37:13","indexId":"70147052","displayToPublicDate":"2008-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process","docAbstract":"Coupled groundwater and surface-water components of the hydrologic cycle can be simulated by the Farm Process for MODFLOW (MF-FMP) in both irrigated and non-irrigated areas and aquifer-storage and recovery systems. MF-FMP is being applied to three productive agricultural regions of different scale in the State of California, USA, to assess the availability of water and the impacts of alternative management decisions. Hindcast simulations are conducted for similar periods from the 1960s to near recent times. Historical groundwater pumpage is mostly unknown in one region (Central Valley) and is estimated by MF-FMP. In another region (Pajaro Valley), recorded pumpage is used to calibrate model-estimated pumpage. Multiple types of observations are used to estimate uncertain parameters, such as hydraulic, land-use, and farm properties. MF-FMP simulates how climate variability and water-import availability affect water demand and supply. MF-FMP can be used to predict water availability based on anticipated changes in anthropogenic or natural water demands.\r\nKeywords groundwater; surface-water; irrigation; water availability; response to climate variability/change","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"HydroPredict 2008","conferenceDate":"September 15–18, 2008","conferenceLocation":"Prague, Czech Republic","language":"English","publisher":" Czech Association of Hydrogeologists","usgsCitation":"Schmid, W., Hanson, R.T., Faunt, C., and Phillips, S.P., 2015, Hindcast of water availability in regional aquifer systems using MODFLOW Farm Process, in Predictions for hydrology, ecology, and water resources management: Using data and models to benefit society, Prague, Czech Republic, September 15–18, 2008, p. 311-314.","productDescription":"4 p.","startPage":"311","endPage":"314","ipdsId":"IP-006401","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299883,"type":{"id":15,"text":"Index Page"},"url":"https://web.natur.cuni.cz/hydropredict2008/"},{"id":342369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa839e4b0764e6c62799d","contributors":{"authors":[{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":545603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":545600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156076,"text":"70156076 - 2015 - Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","interactions":[],"lastModifiedDate":"2015-08-14T15:57:21","indexId":"70156076","displayToPublicDate":"2008-11-05T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options","docAbstract":"

Streams collect runoff, heat, and sediment from their watersheds, making them highly vulnerable to anthropogenic disturbances such as urbanization and climate change. Forecasting the effects of these disturbances using process-based models is critical to identifying the form and magnitude of likely impacts. Here, we integrate a new biotic model with four previously developed physical models (downscaled climate projections, stream hydrology, geomorphology, and water temperature) to predict how stream fish growth and reproduction will most probably respond to shifts in climate and urbanization over the next several decades.

\n

The biotic submodel couples dynamics in fish populations and habitat suitability to predict fish assemblage composition, based on readily available biotic information (preferences for habitat, temperature, and food, and characteristics of spawning) and day-to-day variability in stream conditions.

\n

We illustrate the model using Piedmont headwater streams in the Chesapeake Bay watershed of the USA, projecting ten scenarios: Baseline (low urbanization; no on-going construction; and present-day climate); one Urbanization scenario (higher impervious surface, lower forest cover, significant construction activity); four future climate change scenarios [Hadley CM3 and Parallel Climate Models under medium-high (A2) and medium-low (B2) emissions scenarios]; and the same four climate change scenarios plus Urbanization.

\n

Urbanization alone depressed growth or reproduction of 8 of 39 species, while climate change alone depressed 22 to 29 species. Almost every recreationally important species (i.e. trouts, basses, sunfishes) and six of the ten currently most common species were predicted to be significantly stressed. The combined effect of climate change and urbanization on adult growth was sometimes large compared to the effect of either stressor alone. Thus, the model predicts considerable change in fish assemblage composition, including loss of diversity.Synthesis and applications. The interaction of climate change and urban growth may entail significant reconfiguring of headwater streams, including a loss of ecosystem structure and services, which will be more costly than climate change alone. On local scales, stakeholders cannot control climate drivers but they can mitigate stream impacts via careful land use. Therefore, to conserve stream ecosystems, we recommend that proactive measures be taken to insure against species loss or severe population declines. Delays will inevitably exacerbate the impacts of both climate change and urbanization on headwater systems.

\n

 

","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2664.2008.01599.x","usgsCitation":"Nelson, K.C., Palmer, M., Pizzuto, J.E., Moglen, G.E., Angermeier, P.L., Hilderbrand, R.H., Dettinger, M., and Hayhoe, K., 2015, Forecasting the combined effects of urbanization and climate change on stream ecosystems: from impacts to management options: Journal of Applied Ecology, v. 46, no. 1, p. 154-163, https://doi.org/10.1111/j.1365-2664.2008.01599.x.","productDescription":"10 p.","startPage":"154","endPage":"163","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2008.01599.x","text":"Publisher Index Page"},{"id":306767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-01-14","publicationStatus":"PW","scienceBaseUri":"55cf112ae4b01487cbfc77b8","contributors":{"authors":[{"text":"Nelson, Karen C.","contributorId":32864,"corporation":false,"usgs":false,"family":"Nelson","given":"Karen","email":"","middleInitial":"C.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":568190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Margaret A.","contributorId":102429,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret A.","affiliations":[{"id":13383,"text":"University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, 6 Solomons, Maryland 20688","active":true,"usgs":false}],"preferred":false,"id":568191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pizzuto, James E.","contributorId":49424,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moglen, Glenn E.","contributorId":106585,"corporation":false,"usgs":false,"family":"Moglen","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":568193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":567828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Robert H.","contributorId":140410,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":13480,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":568194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":568195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayhoe, Katharine","contributorId":35624,"corporation":false,"usgs":false,"family":"Hayhoe","given":"Katharine","affiliations":[{"id":16625,"text":"Department of Geosciences, Texas Tech University, Lubbock, Texas","active":true,"usgs":false}],"preferred":false,"id":568196,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154831,"text":"70154831 - 2015 - Dealing with largemouth bass virus: benefits of multisector collaboration","interactions":[],"lastModifiedDate":"2016-09-08T14:14:06","indexId":"70154831","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Dealing with largemouth bass virus: benefits of multisector collaboration","docAbstract":"

Largemouth bass virus (LMBV), a recently identified pathogen, affected largemouth bass (Micropterus salmoides) in the southeastern United States beginning in the 1990s. Concern about the impacts of this little-known pathogen on largemouth bass populations, effects on fisheries management, and the need to provide anglers and the media with consistent and accurate information prompted a private organization (Bass Anglers Sportsman Society) to invite managers and researchers from state and federal agencies and universities to a series of five annual public workshops beginning in 2000. These workshops provided a mechanism to share information, identify and prioritize action items, and develop consensus information and outreach materials that could be provided to bass anglers and the media. Regionalizing the LMBV issue and collaboration among researchers, managers, and a fishing organization may also have allayed angler and media concerns. The process embodied in these workshops is offered as a successful example of multi-agency, multi-sector collaboration to facilitate information acquisition and guide action to address a regional fisheries management issue.

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The mission of the Water Resources Discipline of the U.S. Geological Survey (USGS) is to provide the information and understanding needed for wise management of the Nation's water resources. Inherent in this mission is the responsibility to collect data that accurately describe the physical, chemical, and biological attributes of water systems. These data are used for environmental and resource assessments by the USGS, other government agenices and scientific organizations, and the general public. Reliable and quality-assured data are essential to the credibility and impartiality of the water-resources appraisals carried out by the USGS. The development and use of a National Field Manual is necessary to achieve consistency in the scientific methods and procedures used, to document those methods and procedures, and to maintain technical expertise. USGS field personnel use this manual to ensure that the data collected are of the quality required to fulfill our mission.

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This handbook describes the General Wetland Vegetation Classification System developed as part of the U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program, Long Term Resource Monitoring (LTRM) element. The UMRR is a cooperative effort between the U.S. Army Corps of Engineers, U.S. Geological Survey, U.S. Fish and Wildlife Service, and the states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. The classification system consists of 31 general map classes and has been used to create systemic vegetation data layers throughout the diverse Upper Mississippi River System (UMRS), which includes the commercially navigable reaches of the Mississippi River from Minneapolis, Minnesota, in the north to Cairo, Illinois, in the south, the Illinois River, and navigable portions of the Kaskaskia, Black, St. Croix, and Minnesota Rivers. In addition, this handbook describes the evolution of the General Wetland Vegetation Classification System, discusses the process of creating a vegetation data layer, and describes each of the 31 map classes in detail. The handbook also acts as a pictorial guide to each of the map classes as they may appear in the field, as well as on color-infrared imagery. This version is an update to the original handbook published in 2004.

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Upper Midwest Environmental Sciences Center
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La Crosse, Wisconsin 54603
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","tableOfContents":"","revisedDate":"2015-12-15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b27e4b07f02db6b0fea","contributors":{"authors":[{"text":"Dieck, Jennifer J.","contributorId":33391,"corporation":false,"usgs":true,"family":"Dieck","given":"Jennifer","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":256222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruhser, Janis 0000-0001-9987-2578 jruhser@usgs.gov","orcid":"https://orcid.org/0000-0001-9987-2578","contributorId":149646,"corporation":false,"usgs":true,"family":"Ruhser","given":"Janis","email":"jruhser@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":579403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":579404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Larry R. 0000-0002-3049-6479 lrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-3049-6479","contributorId":3136,"corporation":false,"usgs":true,"family":"Robinson","given":"Larry","email":"lrobinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":256221,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70246272,"text":"70246272 - 2014 - Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar)","interactions":[],"lastModifiedDate":"2023-06-29T14:03:32.445483","indexId":"70246272","displayToPublicDate":"2023-06-29T08:45:21","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar)","title":"Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar)","docAbstract":"

Migrations between different habitats are key events in the lives of many organisms. Such movements involve annually recurring travel over long distances usually triggered by seasonal changes in the environment. Often, the migration is associated with travel to or from reproduction areas to regions of growth. Young anadromous Atlantic salmon (Salmo salar) emigrate from freshwater nursery areas during spring and early summer to feed and grow in the North Atlantic Ocean. The transition from the freshwater (‘parr’) stage to the migratory stage where they descend streams and enter salt water (‘smolt’) is characterized by morphological, physiological and behavioural changes where the timing of this parr-smolt transition is cued by photoperiod and water temperature. Environmental conditions in the freshwater habitat control the downstream migration and contribute to within- and among-river variation in migratory timing. Moreover, the timing of the freshwater emigration has likely evolved to meet environmental conditions in the ocean as these affect growth and survival of the post-smolts. Using generalized additive mixed-effects modelling, we analysed spatio-temporal variations in the dates of downstream smolt migration in 67 rivers throughout the North Atlantic during the last five decades and found that migrations were earlier in populations in the east than the west. After accounting for this spatial effect, the initiation of the downstream migration among rivers was positively associated with freshwater temperatures, up to about 10 °C and levelling off at higher values, and with sea-surface temperatures. Earlier migration occurred when river discharge levels were low but increasing. On average, the initiation of the smolt seaward migration has occurred 2.5 days earlier per decade throughout the basin of the North Atlantic. This shift in phenology matches changes in air, river, and ocean temperatures, suggesting that Atlantic salmon emigration is responding to the current global climate changes.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12363","usgsCitation":"Otero, J., L’Abee-Lund, J.H., Castro-Santos, T., Leonardsson, K., Storvik, G.O., Jonsson, B., Dempson, J., Russell, I.C., Jensen, A.J., Bagliniere, J., Dionne, M., Armstrong, J.D., Romakkaniemi, A., Letcher, B., Kocik, J.F., Erkinaro, J., Poole, R., Rogan, G., Lundqvist, H., MacLean, J.C., Jokikokko, E., Arnekleiv, J.V., Kennedy, R.J., Niemela, E., Caballero, P., Music, P.A., Antonsson, T., Gudjonsson, S., Veselov, A.E., Lamberg, A., Groom, S., Taylor, B.H., Taberner, M., Dillane, M., Arnason, F., Horton, G.E., Hvidsten, N.A., Jonsson, I.R., Jonsson, N., McKelvey, S., Naesje, T.F., Skaala, O., Smith, G.W., Saegrov, H., Stenseth, N.C., and Vøllestad, L., 2014, Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar): Global Change Biology, v. 20, p. 61-75, https://doi.org/10.1111/gcb.12363.","productDescription":"15 p.","startPage":"61","endPage":"75","ipdsId":"IP-049127","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12363","text":"Publisher Index Page"},{"id":418623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2013-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Otero, Jaime","contributorId":315431,"corporation":false,"usgs":false,"family":"Otero","given":"Jaime","email":"","affiliations":[{"id":68317,"text":"1Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. 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We propose that this occurs potentially because the task seems so formidable. The primary goal of this paper is to initiate a dialogue within the geothermal community about: which geothermal uncertainties should receive the most attention and which uncertainty analysis methods could provide the greatest benefit for the advancement of the geothermal energy industry. In this paper, we discuss uncertainty quantification techniques that are applicable to geothermal exploration. In general, uncertainty associated with data acquisition/processing (i.e., objective uncertainty) is small compared to the uncertainty in interpretational space (i.e., subjective uncertainty) that lies between data points where extrapolation is required. Therefore, it is important to classify, assess, and quantify uncertainty to help select strategies to reduce uncertainty, and to better gauge the impact that separate uncertainties have on the overall likelihood of project success. In addition, geostatistics provides multiple quantitative methods for producing stochastic models which adhere to measured data and spatial correlation. The petroleum industry has successfully used both geostastistics and decision analysis methods to combine diverse and multiple types of uncertainties. We argue that instead of one single and final interpretation of the geothermal system, numerous interpretations may be more indicative of the possible subsurface scenarios, and these different scenarios can be evaluated using decision analyses and value of information methodologies. Lastly, we recommend that the potential power generation of a geothermal reservoir should be grounded in the geologic data and modeling for a specific field and their estimated uncertainties. In this paper, we provide a brief overview of many of these topics while a more complete review has been recently published in Witter et al. 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To identify preshocks and aftershocks of the 17 May event we examined the arrivals recorded at Nacogdoches (NATX) 30 km from the 17 May epicenter, at nearby USArray Transportable Array stations, and at eight temporary stations deployed between 26 May 2012 and mid-2013. At NATX we identified seven preshocks, the earliest occurring in April 2008. Reliably located aftershocks recorded by the temporary stations lie along a 6 km long NW-SE linear trend corresponding to a previously mapped basement fault that extends across the highest-intensity (MMI VII) region of the 17 May main shock. Earthquakes in this sequence are relatively shallow—with focal depths ranging from 1.6 to 4.6 km. Evidence supporting these depths include: hypocentral locations of exceptionally well-recorded aftershocks, S-P intervals at the nearest stations, and comparisons of synthetics and observed seismograms. Within 3 km of the linear trend of aftershock activity there are two Class II injection disposal wells injecting at 1.9 km depth beginning in August 2006 and February 2007, with injection rates averaging 42,750 m3/mo and 15,600 m3/mo, respectively. Several observations support the hypothesis that fluid injection triggered the Timpson sequence: well-located epicenters are situated near a mapped basement fault and near high-volume injection wells, focal depths are at or below the depths of injection, and the earliest preshock (April 2008) occurred after the onset of injection in 2006.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010755","usgsCitation":"Frohlich, C., Ellsworth, W., Brown, W., Brunt, M., Luetgert, J., MacDonald, T.G., and Walters, S., 2014, The 17 May 2012 M4.8 earthquake near Timpson, East Texas: An event possibly triggered by fluid injection: Journal of Geophysical Research B: Solid Earth, v. 119, p. 581-593, https://doi.org/10.1002/2013JB010755.","productDescription":"13 p.","startPage":"581","endPage":"593","ipdsId":"IP-107698","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010755","text":"Publisher Index Page"},{"id":363282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Timpson","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.44602966308594,\n 31.85948024535741\n ],\n [\n -94.34440612792969,\n 31.85948024535741\n ],\n [\n -94.34440612792969,\n 31.93934387957224\n ],\n [\n -94.44602966308594,\n 31.93934387957224\n ],\n [\n -94.44602966308594,\n 31.85948024535741\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Frohlich, Cliff","contributorId":215118,"corporation":false,"usgs":false,"family":"Frohlich","given":"Cliff","email":"","affiliations":[{"id":34217,"text":"UT Austin","active":true,"usgs":false}],"preferred":false,"id":761674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. 0000-0001-8378-4979","orcid":"https://orcid.org/0000-0001-8378-4979","contributorId":194691,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William L.","affiliations":[],"preferred":false,"id":761675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Wesley","contributorId":215119,"corporation":false,"usgs":false,"family":"Brown","given":"Wesley","email":"","affiliations":[{"id":39177,"text":"Austin State Univ.","active":true,"usgs":false}],"preferred":false,"id":761676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunt, Michael","contributorId":215120,"corporation":false,"usgs":false,"family":"Brunt","given":"Michael","email":"","affiliations":[{"id":39178,"text":"Eagle Pass High School","active":true,"usgs":false}],"preferred":false,"id":761677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luetgert, James","contributorId":215121,"corporation":false,"usgs":false,"family":"Luetgert","given":"James","affiliations":[{"id":39179,"text":"USGS, volunteer","active":true,"usgs":false}],"preferred":false,"id":761678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacDonald, Tim G.","contributorId":215122,"corporation":false,"usgs":false,"family":"MacDonald","given":"Tim","email":"","middleInitial":"G.","affiliations":[{"id":39180,"text":"USGS (former)","active":true,"usgs":false}],"preferred":false,"id":761679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walters, Steven","contributorId":152403,"corporation":false,"usgs":false,"family":"Walters","given":"Steven","email":"","affiliations":[],"preferred":false,"id":761680,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","interactions":[{"subject":{"id":70055657,"text":"ofr20131024F - 2014 - Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","indexId":"ofr20131024F","publicationYear":"2014","noYear":false,"chapter":"F","displayTitle":"Time-Domain Electromagnetic Surveys at Fort Irwin, San Bernardino County, California, 2010–12","title":"Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1},{"subject":{"id":70133479,"text":"ofr20131024H - 2014 - Gravity survey and interpretation of Fort Irwin and vicinity, Mojave Desert, California","indexId":"ofr20131024H","publicationYear":"2014","noYear":false,"chapter":"H","displayTitle":"Gravity Survey and Interpretation of Fort Irwin and Vicinity, Mojave Desert, California","title":"Gravity survey and interpretation of Fort Irwin and vicinity, Mojave Desert, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 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2014 - Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California","indexId":"ofr20131024I","publicationYear":"2014","noYear":false,"chapter":"I","displayTitle":"Aeromagnetic Data, Processing, and Maps of Fort Irwin and Vicinity, California","title":"Aeromagnetic data, processing, and maps of Fort Irwin and vicinity, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":4},{"subject":{"id":70133887,"text":"ofr20131024A - 2014 - Introduction to the geologic and geophysical studies of Fort Irwin, California","indexId":"ofr20131024A","publicationYear":"2014","noYear":false,"chapter":"A","displayTitle":"Introduction to the Geologic and Geophysical Studies of Fort Irwin, California","title":"Introduction to the geologic and geophysical studies of Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 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2015 - Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California","indexId":"ofr20131024E","publicationYear":"2015","noYear":false,"chapter":"E","displayTitle":"Laboratory Electrical Resistivity Analysis of Geologic Samples from Fort Irwin, California","title":"Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":7},{"subject":{"id":70199284,"text":"ofr20131024C - 2018 - Cenozoic geology of Fort Irwin and vicinity, California","indexId":"ofr20131024C","publicationYear":"2018","noYear":false,"chapter":"C","displayTitle":"Cenozoic Geology of Fort Irwin and Vicinity, California","title":"Cenozoic geology of Fort Irwin and vicinity, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":8},{"subject":{"id":70201189,"text":"ofr20131024D - 2018 - Lithostratigraphic framework in boreholes from Goldstone Lake and Nelson Lake Basins, Fort Irwin, California","indexId":"ofr20131024D","publicationYear":"2018","noYear":false,"chapter":"D","title":"Lithostratigraphic framework in boreholes from Goldstone Lake and Nelson Lake Basins, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":9}],"lastModifiedDate":"2019-06-11T12:41:18","indexId":"ofr20131024","displayToPublicDate":"2018-12-13T14:29:18","publicationYear":"2014","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":"2013-1024","displayTitle":"Geology and Geophysics Applied to Groundwater Hydrology at Fort Irwin, California","title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","docAbstract":"

Geologic and geophysical investigations in the vicinity of Fort Irwin National Training Center, California, have been completed in support of groundwater investigations, and are presented in eight chapters of this report. A generalized surficial geologic map along with field and borehole investigations conducted during 2010–11 provide a lithostratigraphic and structural framework for the area during the Cenozoic. Electromagnetic properties of resistivity were measured in the laboratory on hand and core samples, and compared to borehole geophysical resistivity data. These data were used in conjunction with ground-based time-domain and airborne data and interpretations to provide a framework for the shallow lithologic units and structure. Gravity and aeromagnetic maps cover areas ~4 to 5 times that of Fort Irwin. Each chapter includes hydrogeologic applications of the data or model results.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-file Report 2013–1024, 2 p., https://doi.org/10.3133/ofr20131024.","productDescription":"9 Chapters","onlineOnly":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":359949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/ofr2013-1024_cover.pdf","text":"Cover image","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":359948,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/coverthb.jpg"}],"contact":"

Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-11-26","noUsgsAuthors":false,"publicationDate":"2014-11-26","publicationStatus":"PW","scienceBaseUri":"5c137dd5e4b006c4f85148a4","contributors":{"editors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":753136,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":70055657,"text":"ofr20131024F - 2014 - Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","interactions":[{"subject":{"id":70055657,"text":"ofr20131024F - 2014 - Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","indexId":"ofr20131024F","publicationYear":"2014","noYear":false,"chapter":"F","displayTitle":"Time-Domain Electromagnetic Surveys at Fort Irwin, San Bernardino County, California, 2010–12","title":"Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2018-12-14T13:43:39","indexId":"ofr20131024F","displayToPublicDate":"2018-12-13T11:30:00","publicationYear":"2014","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":"2013-1024","chapter":"F","displayTitle":"Time-Domain Electromagnetic Surveys at Fort Irwin, San Bernardino County, California, 2010–12","title":"Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12","docAbstract":"

Between 2010 and 2012, a total of 79 time-domain electromagnetic (TEM) soundings were collected in 12 groundwater basins in the U.S. Army Fort Irwin National Training Center (NTC) study area to help improve the understanding of the hydrogeology of the NTC. The TEM data are discussed in this chapter in the context of geologic observations of the study area, the details of which are provided in the other chapters of this volume. Selection of locations for TEM soundings in unexplored basins was guided by gravity data that estimated depth to pre-Tertiary basement complex of crystalline rock and alluvial thickness. Some TEM data were collected near boreholes with geophysical logs. The TEM response at locations near boreholes was used to evaluate sounding data for areas without boreholes. TEM models also were used to guide site selection of subsequent boreholes drilled as part of this study. Following borehole completion, geophysical logs were used to ground-truth and reinterpret previously collected TEM data. This iterative process was used to site subsequent TEM soundings and borehole locations as the study progressed. Although each groundwater subbasin within the NTC boundaries was explored using the TEM method, collection of TEM data was focused in those basins identified as best suited for development of water resources. At the NTC, TEM estimates of some lithologic thicknesses and electrical properties in the unsaturated zone are in good accordance with borehole data; however, water-table elevations were not easily identifiable from TEM data.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024F","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Burgess, M.K., and Bedrosian, P.A., 2014, Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12, chap. F of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 64 p., https://doi.org/10.3133/ofr20131024F.","productDescription":"Report: v, 64 p.","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044319","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/f/images/coverthb.jpg"},{"id":296367,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/f/downloads/ofr2013-1024_f.pdf","text":"Report","size":"6.8 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"

Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-11-26","noUsgsAuthors":false,"publicationDate":"2014-11-26","publicationStatus":"PW","scienceBaseUri":"5480342ce4b0ac64d148dcfa","contributors":{"editors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":526077,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":525986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":525987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042286,"text":"70042286 - 2014 - Optimal water depth management on river-fed National Wildlife Refuges in a changing climate","interactions":[],"lastModifiedDate":"2018-03-22T16:52:54","indexId":"70042286","displayToPublicDate":"2018-01-01T11:35:07","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Optimal water depth management on river-fed National Wildlife Refuges in a changing climate","docAbstract":"

The prairie pothole region (PPR) in the north-central United States and south-central Canada constitutes the most important waterfowl breeding area in North America. Projected long-term changes in precipitation and temperature may alter the drivers of waterfowl abundance: wetland availability and emergent vegetation cover. Previous studies have focused on isolated wetland dynamics, but the implications of changing precipitation on managed, river-fed wetlands have not been addressed. Using a structured decision making (SDM) approach, we derived optimal water management actions for 20 years at four river-fed National Wildlife Refuges (NWRs) in North and South Dakota under contrasting increasing/decreasing (+/−0.4 %/year) inflow scenarios derived from empirical trends. Refuge pool depth is manipulated by control structures. Optimal management involves setting control structure heights that have the highest probability of providing a desired mix of waterfowl habitat, given refuge capacities and inflows. We found optimal seasonal control structure heights for each refuge were essentially the same under increasing and decreasing inflow trends of 0.4 %/year over the next 20 years. Results suggest managed pools in the NWRs receive large inflows relative to their capacities. Hence, water availability does not constrain management; pool bathymetry and management tactics can be greater constraints on attaining management objectives than climate-mediated inflow. We present time-dependent optimal seasonal control structure heights for each refuge, which are resilient to the non-stationary precipitation scenarios we examined. Managers can use this information to provide a desired mixture of wildlife habitats, and to re-assess management objectives in reserves where pool bathymetry prevents attaining the currently stated objectives.

","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-1033-8","usgsCitation":"Nicol, S., Griffith, B., Austin, J.E., and Hunter, C.M., 2014, Optimal water depth management on river-fed National Wildlife Refuges in a changing climate: Climatic Change, v. 124, no. 1, p. 271-284, https://doi.org/10.1007/s10584-013-1033-8.","productDescription":"14 p.","startPage":"271","endPage":"284","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036088","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472495,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10.1007/s10584-013-1033-8","text":"External Repository"},{"id":314866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-03-26","publicationStatus":"PW","scienceBaseUri":"5a61002fe4b06e28e9c2539b","contributors":{"authors":[{"text":"Nicol, Samuel","contributorId":58562,"corporation":false,"usgs":false,"family":"Nicol","given":"Samuel","email":"","affiliations":[{"id":12496,"text":"CSIRO Ecosystem Sciences","active":true,"usgs":false}],"preferred":false,"id":589771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":589772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":589773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Christine M.","contributorId":85717,"corporation":false,"usgs":true,"family":"Hunter","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":589774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193627,"text":"70193627 - 2014 - Modeling ash fall distribution from a Yellowstone supereruption","interactions":[],"lastModifiedDate":"2019-03-13T08:21:42","indexId":"70193627","displayToPublicDate":"2017-11-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modeling ash fall distribution from a Yellowstone supereruption","docAbstract":"

We used the volcanic ash transport and dispersion model Ash3d to estimate the distribution of ashfall that would result from a modern-day Plinian supereruption at Yellowstone volcano. The simulations required modifying Ash3d to consider growth of a continent-scale umbrella cloud and its interaction with ambient wind fields. We simulated eruptions lasting 3 days, 1 week, and 1 month, each producing 330 km3 of volcanic ash, dense-rock equivalent (DRE). Results demonstrate that radial expansion of the umbrella cloud is capable of driving ash upwind (westward) and crosswind (N-S) in excess of 1500 km, producing more-or-less radially symmetric isopachs that are only secondarily modified by ambient wind. Deposit thicknesses are decimeters to meters in the northern Rocky Mountains, centimeters to decimeters in the northern Midwest, and millimeters to centimeters on the East, West, and Gulf Coasts. Umbrella cloud growth may explain the extremely widespread dispersal of the ∼640 ka and 2.1 Ma Yellowstone tephra deposits in the eastern Pacific, northeastern California, southern California, and South Texas.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GC005469","usgsCitation":"Mastin, L.G., Van Eaton, A., and Lowenstern, J.B., 2014, Modeling ash fall distribution from a Yellowstone supereruption: Geochemistry, Geophysics, Geosystems, v. 15, no. 8, p. 3459-3475, https://doi.org/10.1002/2014GC005469.","productDescription":"17 p.","startPage":"3459","endPage":"3475","ipdsId":"IP-051368","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gc005469","text":"Publisher Index Page"},{"id":348117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"15","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"59fc2ea9e4b0531197b27f9b","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":140076,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa R.","email":"avaneaton@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189609,"text":"70189609 - 2014 - Laboratory constraints on models of earthquake recurrence","interactions":[],"lastModifiedDate":"2017-07-19T10:14:46","indexId":"70189609","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory constraints on models of earthquake recurrence","docAbstract":"In this study, rock friction ‘stick-slip’ experiments are used to develop constraints on models of earthquake recurrence. Constant-rate loading of bare rock surfaces in high quality experiments produces stick-slip recurrence that is periodic at least to second order. When the loading rate is varied, recurrence is approximately inversely proportional to loading rate. These laboratory events initiate due to a slip rate-dependent process that also determines the size of the stress drop [Dieterich, 1979; Ruina, 1983] and as a consequence, stress drop varies weakly but systematically with loading rate [e.g., Gu and Wong, 1991; Karner and Marone, 2000; McLaskey et al., 2012]. This is especially evident in experiments where the loading rate is changed by orders of magnitude, as is thought to be the loading condition of naturally occurring, small repeating earthquakes driven by afterslip, or low-frequency earthquakes loaded by episodic slip. As follows from the previous studies referred to above, experimentally observed stress drops are well described by a logarithmic dependence on recurrence interval that can be cast as a non-linear slip-predictable model. The fault’s rate dependence of strength is the key physical parameter. Additionally, even at constant loading rate the most reproducible laboratory recurrence is not exactly periodic, unlike existing friction recurrence models. We present example laboratory catalogs that document the variance and show that in large catalogs, even at constant loading rate, stress drop and recurrence co-vary systematically. The origin of this covariance is largely consistent with variability of the dependence of fault strength on slip rate. Laboratory catalogs show aspects of both slip and time predictability and successive stress drops are strongly correlated indicating a ‘memory’ of prior slip history that extends over at least one recurrence cycle.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011184","usgsCitation":"Beeler, N.M., Tullis, T., Junger, J., Kilgore, B.D., and Goldsby, D.L., 2014, Laboratory constraints on models of earthquake recurrence: Journal of Geophysical Research, v. 119, no. 12, p. 8770-8791, https://doi.org/10.1002/2014JB011184.","productDescription":"22 p.","startPage":"8770","endPage":"8791","ipdsId":"IP-059672","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-17","publicationStatus":"PW","scienceBaseUri":"59706fbbe4b0d1f9f065a8df","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tullis, Terry","contributorId":194801,"corporation":false,"usgs":false,"family":"Tullis","given":"Terry","affiliations":[],"preferred":false,"id":705400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Junger, Jenni","contributorId":194802,"corporation":false,"usgs":false,"family":"Junger","given":"Jenni","email":"","affiliations":[],"preferred":false,"id":705401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":705402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldsby, David L.","contributorId":194803,"corporation":false,"usgs":false,"family":"Goldsby","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705403,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188574,"text":"70188574 - 2014 - Empirical models for predicting volumes of sediment deposited by debris flows and sediment-laden floods in the transverse ranges of southern California","interactions":[],"lastModifiedDate":"2017-06-23T15:58:43","indexId":"70188574","displayToPublicDate":"2017-06-15T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Empirical models for predicting volumes of sediment deposited by debris flows and sediment-laden floods in the transverse ranges of southern California","docAbstract":"Debris flows and sediment-laden floods in the Transverse Ranges of southern California pose severe hazards to nearby communities and infrastructure. Frequent wildfires denude hillslopes and increase the likelihood of these hazardous events. Debris-retention basins protect communities and infrastructure from the impacts of debris flows and sediment-laden floods and also provide critical data for volumes of sediment deposited at watershed outlets. In this study, we supplement existing data for the volumes of sediment deposited at watershed outlets with newly acquired data to develop new empirical models for predicting volumes of sediment produced by watersheds located in the Transverse Ranges of southern California. The sediment volume data represent a broad sample of conditions found in Ventura, Los Angeles and San Bernardino Counties, California.\n\nThe measured volumes of sediment, watershed morphology, distributions of burn severity within each watershed, the time since the most recent fire, triggering storm rainfall conditions, and engineering soil properties were analyzed using multiple linear regressions to develop two models. A “long-term model” was developed for predicting volumes of sediment deposited by both debris flows and floods at various times since the most recent fire from a database of volumes of sediment deposited by a combination of debris flows and sediment-laden floods with no time limit since the most recent fire (n = 344). A subset of this database was used to develop an “emergency assessment model” for predicting volumes of sediment deposited by debris flows within two years of a fire (n = 92). Prior to developing the models, 32 volumes of sediment, and related parameters for watershed morphology, burn severity and rainfall conditions were retained to independently validate the long-term model. Ten of these volumes of sediment were deposited by debris flows within two years of a fire and were used to validate the emergency assessment model. The models were validated by comparing predicted and measured volumes of sediment. These validations were also performed for previously developed models and identify that the models developed here best predict volumes of sediment for burned watersheds in comparison to previously developed models.","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2014.04.008","usgsCitation":"Gartner, J.E., Cannon, S.H., and Santi, P.M., 2014, Empirical models for predicting volumes of sediment deposited by debris flows and sediment-laden floods in the transverse ranges of southern California: Engineering Geology, v. 176, no. 24, p. 45-56, https://doi.org/10.1016/j.enggeo.2014.04.008.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-055505","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Los Angeles County, San Bernadino 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cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santi, Paul M","contributorId":192990,"corporation":false,"usgs":false,"family":"Santi","given":"Paul","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":698402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70126237,"text":"70126237 - 2014 - Threats and conservation needs for North American tortoises","interactions":[],"lastModifiedDate":"2020-05-14T18:11:50.613348","indexId":"70126237","displayToPublicDate":"2017-06-14T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Threats and conservation needs for North American tortoises","docAbstract":"

No abstract available

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and Conservation of North American Tortoises","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Berry, K.H., and Aresco, M., 2014, Threats and conservation needs for North American tortoises, chap. 18 of Biology and Conservation of North American Tortoises, p. 149-158.","productDescription":"10 p.","startPage":"149","endPage":"158","ipdsId":"IP-035428","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":342460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342459,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://muse.jhu.edu/book/32949"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ae4b0764e6c65dc3e","contributors":{"editors":[{"text":"Rostal, David C.","contributorId":192871,"corporation":false,"usgs":false,"family":"Rostal","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697982,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McCoy, Earl D.","contributorId":95129,"corporation":false,"usgs":true,"family":"McCoy","given":"Earl","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697983,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Mushinsky, H.R.","contributorId":54416,"corporation":false,"usgs":true,"family":"Mushinsky","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":697984,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":519542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aresco, M.J.","contributorId":86954,"corporation":false,"usgs":true,"family":"Aresco","given":"M.J.","affiliations":[],"preferred":false,"id":697981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133137,"text":"70133137 - 2014 - U.S. Geological Survey external quality-assurance project report for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2011-2012","interactions":[],"lastModifiedDate":"2017-06-13T17:15:07","indexId":"70133137","displayToPublicDate":"2017-06-13T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NADP QA Report 2014-01","title":"U.S. Geological Survey external quality-assurance project report for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2011-2012","docAbstract":"

The U.S. Geological Survey operated six distinct programs to provide external quality-assurance monitoring for the National Atmospheric Deposition Program (NADP) / National Trends Network (NTN) and Mercury Deposition Network (MDN) during 2011–2012. The field-audit program assessed the effects of onsite exposure, sample handling, and shipping on the chemistry of NTN samples; a system-blank program assessed the same effects for MDN. Two interlaboratory-comparison programs assessed the bias and variability of the chemical analysis data from the Central Analytical Laboratory and Mercury Analytical Laboratory (HAL). A blind-audit program was implemented for the MDN during 2011 to evaluate analytical bias in HAL total mercury concentration data. The co-located–sampler program was used to identify and quantify potential shifts in NADP data resulting from the replacement of original network instrumentation with new electronic recording rain gages and precipitation collectors that use optical precipitation sensors.

The results indicate that NADP data continue to be of sufficient quality for the analysis of spatial distributions and time trends of chemical constituents in wet deposition across the United States. Co-located rain gage results indicate -3.7 to +6.5 percent bias in NADP precipitation-depth measurements. Co-located collector results suggest that the retrofit of the NADP networks with the new precipitation collectors could cause +10 to +36 percent shifts in NADP annual deposition values for ammonium, nitrate, and sulfate; -7.5 to +41 percent shifts for hydrogen-ion deposition; and larger shifts (-51 to +52 percent) for calcium, magnesium, sodium, potassium, and chloride. The prototype N-CON Systems bucket collector typically catches more precipitation than the NADP-approved Aerochem Metrics Model 301 collector.

","language":"English","publisher":"University of Illinois, Prairie Research Institute, Illinois State Water Survey","publisherLocation":"Champaign, IL","usgsCitation":"Wetherbee, G.A., and Martin, R., 2014, U.S. Geological Survey external quality-assurance project report for the National Atmospheric Deposition Program / National Trends Network and Mercury Deposition Network, 2011-2012, viii, 52 p.","productDescription":"viii, 52 p.","ipdsId":"IP-050735","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":342452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b4e4b0764e6c63eacd","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":524792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, RoseAnn ramartin@usgs.gov","contributorId":5367,"corporation":false,"usgs":true,"family":"Martin","given":"RoseAnn","email":"ramartin@usgs.gov","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":524793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169892,"text":"70169892 - 2014 - USGS/EPA collection protocol for bacterial pathogens in soil","interactions":[],"lastModifiedDate":"2017-04-25T09:53:53","indexId":"70169892","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"EPA/600/R-14/027","title":"USGS/EPA collection protocol for bacterial pathogens in soil","docAbstract":"

This Sample Collection Procedure (SCP) describes the activities and considerations for the collection of bacterial pathogens from representative surface soil samples (0-5 cm). This sampling depth can be reached without the use of a drill rig, direct-push technology, or other mechanized equipment.

This procedure can be used in most soil types but is limited to sampling at or near the ground surface. This protocol has components for two different types of sampling applications: (1) typical sampling, when there is no suspicion of contamination (e.g., surveillance or background studies); and (2) in response to known or suspected accidental contamination (e.g., the presence of animal carcasses). This protocol does not cover sampling in response to a suspected bioterrorist or intentional release event.

Surface material is removed to the required depth (0-5 cm) and clean trowel or 50 ml sample tube is used to collect the sample. Sample containers are sealed, bagged, and shipped to the laboratory for analysis. Associated documentation, including a Field Data Log and Chain-of-Custody are also included in this document.

","language":"English","publisher":"Environmental Protection Agency","usgsCitation":"Griffin, D.W., Shaefer, F., Bowling, C., Mattorano, D., Nichols, T., and Erin Silvestri, 2014, USGS/EPA collection protocol for bacterial pathogens in soil (1.0), Report: vi, 34 p.","productDescription":"Report: vi, 34 p.","ipdsId":"IP-045336","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":340233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340232,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=285571"}],"country":"United States","edition":"1.0","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006064e4b0e85db3a5dde9","contributors":{"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaefer, F.L.","contributorId":91169,"corporation":false,"usgs":true,"family":"Shaefer","given":"F.L.","email":"","affiliations":[],"preferred":false,"id":692719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowling, Charlena","contributorId":168331,"corporation":false,"usgs":false,"family":"Bowling","given":"Charlena","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":625491,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mattorano, Dino","contributorId":168332,"corporation":false,"usgs":false,"family":"Mattorano","given":"Dino","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":625492,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nichols, Tonya","contributorId":168334,"corporation":false,"usgs":false,"family":"Nichols","given":"Tonya","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":625494,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Erin Silvestri","contributorId":168333,"corporation":false,"usgs":false,"family":"Erin Silvestri","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":625493,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70179707,"text":"70179707 - 2014 - Comparison of mineral weathering and biomass nutrient uptake in two small forested watersheds underlain by quartzite bedrock, Catoctin Mountain, Maryland, USA","interactions":[],"lastModifiedDate":"2017-01-13T10:07:12","indexId":"70179707","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of mineral weathering and biomass nutrient uptake in two small forested watersheds underlain by quartzite bedrock, Catoctin Mountain, Maryland, USA","docAbstract":"

To quantify chemical weathering and biological uptake, mass-balance calculations were performed on two small forested watersheds located in the Blue Ridge Physiographic Province in north-central Maryland, USA. Both watersheds, Bear Branch (BB) and Fishing Creek Tributary (FCT), are underlain by relatively unreactive quartzite bedrock. Such unreactive bedrock and associated low chemical-weathering rates offer the opportunity to quantify biological processes operating within the watershed. Hydrologic and stream-water chemistry data were collected from the two watersheds for the 9-year period from June 1, 1990 to May 31, 1999. Of the two watersheds, FCT exhibited both higher chemical-weathering rates and biomass nutrient uptake rates, suggesting that forest biomass aggradation was limited by the rate of chemical weathering of the bedrock. Although the chemical-weathering rate in the FCT watershed was low relative to the global average, it masked the influence of biomass base-cation uptake on stream-water chemistry. Any differences in bedrock mineralogy between the two watersheds did not exert a significant influence on the overall weathering stoichiometry. The difference in chemical-weathering rates between the two watersheds is best explained by a larger proportion of reactive phyllitic layers within the bedrock of the FCT watershed. Although the stream gradient of BB is about two-times greater than that of FCT, its influence on chemical weathering appears to be negligible. The findings of this study support the biomass nutrient uptake stoichiometry of K1.0Mg1.1Ca0.97 previously determined for the study site. Investigations of the chemical weathering of relatively unreactive quartzite bedrock may provide insight into critical zone processes.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9205-8","usgsCitation":"Rice, K.C., and Price, J.R., 2014, Comparison of mineral weathering and biomass nutrient uptake in two small forested watersheds underlain by quartzite bedrock, Catoctin Mountain, Maryland, USA: Aquatic Geochemistry, v. 20, no. 2, p. 225-242, https://doi.org/10.1007/s10498-013-9205-8.","productDescription":"18 p.","startPage":"225","endPage":"242","ipdsId":"IP-043877","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Frederick","otherGeospatial":"Catoctin Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.50957489013672,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.67019926771586\n ],\n [\n -77.37361907958984,\n 39.525494363862606\n ],\n [\n -77.50957489013672,\n 39.525494363862606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-07","publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d9581c","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Jason R.","contributorId":178278,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":658361,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70115891,"text":"70115891 - 2014 - Response to L. Land comment on Bricker, Rice, Bricker (2014) From Headwaters to Coast: Influence of human activities on water quality of the Potomac River Estuary. Aquatic Geochemistry 20: 291-324","interactions":[],"lastModifiedDate":"2021-03-16T20:53:46.205726","indexId":"70115891","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Response to L. Land comment on Bricker, Rice, Bricker (2014) From Headwaters to Coast: Influence of human activities on water quality of the Potomac River Estuary. Aquatic Geochemistry 20: 291-324","docAbstract":"

Overabundance of nutrients is considered one of the top challenges to most populated coastal water bodies, including Chesapeake Bay (Executive Order 13508). As scientists, one of our responsibilities is to contribute to the discussion and evaluation of management actions that have the potential to decrease pollution with concomitant improvement of water quality. Results of our science should inform the legislative process for public policy. Bricker et al. (2014) consider the use of shellfish (i.e., oysters) to remediate nutrient pollution in the Potomac River Estuary (PRE), a tributary to Chesapeake Bay. This concept, termed bioextraction, has generated interest around the globe and has shown promise as a nutrient-removal method in other estuaries and with other shellfish species (Lindahl et al. 2005; Ferreira et al. 2009; Shumway 2011; Silva et al. 2011; Carmichael et al. 2012; Pollack et al. 2013; Rose et al. 2014).

","language":"English","publisher":"Springer","doi":"10.1007/s10498-014-9233-z","usgsCitation":"Bricker, S.B., Rice, K.C., and Bricker, I.O., 2014, Response to L. Land comment on Bricker, Rice, Bricker (2014) From Headwaters to Coast: Influence of human activities on water quality of the Potomac River Estuary. Aquatic Geochemistry 20: 291-324: Aquatic Geochemistry, v. 20, no. 5, p. 459-463, https://doi.org/10.1007/s10498-014-9233-z.","productDescription":"5 p.","startPage":"459","endPage":"463","ipdsId":"IP-057597","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333174,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/70101080","text":"From Headwaters to Coast: Influence of human activities on water quality of the Potomac River Estuary"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"5877230be4b0315b4c11fe6d","contributors":{"authors":[{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":519031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bricker, III Owen Owen, P.","contributorId":119804,"corporation":false,"usgs":true,"family":"Bricker","given":"III","suffix":"Owen, P.","email":"","middleInitial":"Owen","affiliations":[],"preferred":false,"id":519032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}