Dam releases used to create downstream flows that mimic historic floods in timing, peak magnitude and recession rate are touted as key tools for restoring riparian vegetation on large regulated rivers. We analysed a flood on the 5th‐order Green River below Flaming Gorge Dam, Colorado, in a broad alluvial valley where Fremont cottonwood riparian forests have senesced and little recruitment has occurred since dam completion in 1962. The stable post dam flow regime triggered the development of novel riparian communities with dense herbaceous plant cover. We monitored cottonwood recruitment on landforms inundated by a managed flood equal in magnitude and timing to the average pre‐dam flood. To understand the potential for using managed floods as a riparian restoration tool, we implemented a controlled and replicated experiment to test the effects of artificially modified ground layer vegetation on cottonwood seedling establishment. Treatments to remove herbaceous vegetation and create bare ground included herbicide application (H), ploughing (P), and herbicide plus ploughing (H + P). Treatment improved seedling establishment. Initial seedling densities on treated areas were as much as 1200% higher than on neighbouring control (C) areas, but varied over three orders of magnitude among the five locations where manipulations were replicated. Only two replicates showed the expected seedling density rank of (H + P) > P > H> C. Few seedlings established in control plots and none survived 1 year. Seedling density was strongly affected by seed rain density. Herbivory affected growth and survivorship of recruits, and few survived nine growing seasons. Our results suggest that the novel plant communities are ecologically and geomorphically resistant to change. Managed flooding alone, using flows equal to the pre‐dam mean annual peak flood, is an ineffective riparian restoration tool where such ecosystem states are present and floods cannot create new habitat for seedling establishment. This problem significantly limits long‐term river and riparian management options.
","language":"English","doi":"10.1002/rra.1452","issn":"15351459","usgsCitation":"Cooper, D., and Andersen, D., 2012, Novel plant communities limit the effects of a managed flood to restore riparian forests along a large regulated river: River Research and Applications, v. 28, no. 2, p. 204-215, https://doi.org/10.1002/rra.1452.","productDescription":"12 p.","startPage":"204","endPage":"215","costCenters":[],"links":[{"id":242478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214728,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1452"}],"country":"United States","state":"Colorado","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.0283203125,\n 40.18726672309203\n ],\n [\n -107.8143310546875,\n 40.18726672309203\n ],\n [\n -107.8143310546875,\n 41.00477542222947\n ],\n [\n -109.0283203125,\n 41.00477542222947\n ],\n [\n -109.0283203125,\n 40.18726672309203\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-08-24","publicationStatus":"PW","scienceBaseUri":"505a68b5e4b0c8380cd73962","contributors":{"authors":[{"text":"Cooper, D.J.","contributorId":89489,"corporation":false,"usgs":true,"family":"Cooper","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":435104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, D.C.","contributorId":19119,"corporation":false,"usgs":true,"family":"Andersen","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":435103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032222,"text":"70032222 - 2012 - One hundred years of volcano monitoring in Hawaii","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032222","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"One hundred years of volcano monitoring in Hawaii","docAbstract":"In 2012 the Hawaiian Volcano Observatory (HVO), the oldest of five volcano observatories in the United States, is commemorating the 100th anniversary of its founding. HVO's location, on the rim of Klauea volcano (Figure 1)one of the most active volcanoes on Earthhas provided an unprecedented opportunity over the past century to study processes associated with active volcanism and develop methods for hazards assessment and mitigation. The scientifically and societally important results that have come from 100 years of HVO's existence are the realization of one man's vision of the best way to protect humanity from natural disasters. That vision was a response to an unusually destructive decade that began the twentieth century, a decade that saw almost 200,000 people killed by the effects of earthquakes and volcanic eruptions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2012EO030001","issn":"00963941","usgsCitation":"Kauahikaua, J., and Poland, M., 2012, One hundred years of volcano monitoring in Hawaii: Eos, Transactions, American Geophysical Union, v. 93, no. 3, p. 29-30, https://doi.org/10.1029/2012EO030001.","startPage":"29","endPage":"30","numberOfPages":"2","costCenters":[],"links":[{"id":214759,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO030001"},{"id":242509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-17","publicationStatus":"PW","scienceBaseUri":"505a6e26e4b0c8380cd754e9","contributors":{"authors":[{"text":"Kauahikaua, J. 0000-0003-3777-503X","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":26087,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"J.","affiliations":[],"preferred":false,"id":435110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":435111,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032229,"text":"70032229 - 2012 - Supplementing seed banks to rehabilitate disturbed Mojave Desert shrublands: Where do all the seeds go?","interactions":[],"lastModifiedDate":"2020-12-03T22:13:58.128895","indexId":"70032229","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Supplementing seed banks to rehabilitate disturbed Mojave Desert shrublands: Where do all the seeds go?","docAbstract":"Revegetation of degraded arid lands often involves supplementing impoverished seed banks and improving the seedbed, yet these approaches frequently fail. To understand these failures, we tracked the fates of seeds for six shrub species that were broadcast across two contrasting surface disturbances common to the Mojave Desert—sites compacted by concentrated vehicle use and trenched sites where topsoil and subsurface soils were mixed. We evaluated seedbed treatments that enhance soil‐seed contact (tackifier) and create surface roughness while reducing soil bulk density (harrowing). We also explored whether seed harvesting by granivores and seedling suppression by non‐native annuals influence the success of broadcast seeding in revegetating degraded shrublands. Ten weeks after treatments, seeds readily moved off of experimental plots in untreated compacted sites, but seed movements were reduced 32% by tackifier and 55% through harrowing. Harrowing promoted seedling emergence in compacted sites, particularly for the early‐colonizing species Encelia farinosa, but tackifier was largely ineffective. The inherent surface roughness of trenched sites retained three times the number of seeds than compacted sites, but soil mixing during trench development likely altered the suitability of the seedbed thus resulting in poor seedling emergence. Non‐native annuals had little influence on seed fates during our study. In contrast, the prevalence of harvester ants increased seed removal on compacted sites, whereas rodent activity influenced removal on trenched sites. Future success of broadcast seeding in arid lands depends on evaluating disturbance characteristics prior to seeding and selecting appropriate species and seasons for application.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1526-100X.2010.00739.x","issn":"10612971","usgsCitation":"DeFalco, L.A., Esque, T., Nicklas, M.B., and Kane, J., 2012, Supplementing seed banks to rehabilitate disturbed Mojave Desert shrublands: Where do all the seeds go?: Restoration Ecology, v. 20, no. 1, p. 85-94, https://doi.org/10.1111/j.1526-100X.2010.00739.x.","productDescription":"10 p.","startPage":"85","endPage":"94","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":242641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214885,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2010.00739.x"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","scienceBaseUri":"505b9f78e4b08c986b31e5da","contributors":{"authors":[{"text":"DeFalco, Lesley A. 0000-0002-7542-9261 ldefalco@usgs.gov","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":177536,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":435145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":435146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicklas, Melissa B.","contributorId":36404,"corporation":false,"usgs":true,"family":"Nicklas","given":"Melissa","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":435147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Jeffrey M.","contributorId":35169,"corporation":false,"usgs":true,"family":"Kane","given":"Jeffrey M.","affiliations":[],"preferred":false,"id":435144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032249,"text":"70032249 - 2012 - Geometry and subsidence history of the Dead Sea basin: A case for fluid-induced mid-crustal shear zone?","interactions":[],"lastModifiedDate":"2020-12-04T14:04:20.924152","indexId":"70032249","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Geometry and subsidence history of the Dead Sea basin: A case for fluid-induced mid-crustal shear zone?","docAbstract":"Pull‐apart basins are narrow zones of crustal extension bounded by strike‐slip faults that can serve as analogs to the early stages of crustal rifting. We use seismic tomography, 2‐D ray tracing, gravity modeling, and subsidence analysis to study crustal extension of the Dead Sea basin (DSB), a large and long‐lived pull‐apart basin along the Dead Sea transform (DST). The basin gradually shallows southward for 50 km from the only significant transverse normal fault. Stratigraphic relationships there indicate basin elongation with time. The basin is deepest (8–8.5 km) and widest (∼15 km) under the Lisan about 40 km north of the transverse fault. Farther north, basin depth is ambiguous, but is 3 km deep immediately north of the lake. The underlying pre‐basin sedimentary layer thickens gradually from 2 to 3 km under the southern edge of the DSB to 3–4 km under the northern end of the lake and 5–6 km farther north. Crystalline basement is ∼11 km deep under the deepest part of the basin. The upper crust under the basin has lowerPwave velocity than in the surrounding regions, which is interpreted to reflect elevated pore fluids there. Within data resolution, the lower crust below ∼18 km and the Moho are not affected by basin development. The subsidence rate was several hundreds of m/m.y. since the development of the DST ∼17 Ma, similar to other basins along the DST, but subsidence rate has accelerated by an order of magnitude during the Pleistocene, which allowed the accumulation of 4 km of sediment. We propose that the rapid subsidence and perhaps elongation of the DSB are due to the development of inter‐connected mid‐crustal ductile shear zones caused by alteration of feldspar to muscovite in the presence of pore fluids. This alteration resulted in a significant strength decrease and viscous creep. We propose a similar cause to the enigmatic rapid subsidence of the North Sea at the onset the North Atlantic mantle plume. Thus, we propose that aqueous fluid flux into a slowly extending continental crust can cause rapid basin subsidence that may be erroneously interpreted as an increased rate of tectonic activity.
Senkyo is an equatorial plain on Titan filled with dunes and surrounded by hummocky plateaus. During the Titan targeted flyby T61 on August 25, 2009, the Cassini Visual and Infrared Mapping Spectrometer (VIMS) onboard the Cassini spacecraft observed a circular feature, centered at 5.4° N and 341°W, that superimposes the dune fields and a bright plateau. This circular feature, which has been named Paxsi by the International Astronomical Union, is 120±10 km in diameter (measured from the outer edge of the crater rim) and exhibits a central bright area that can be interpreted as the central peak or pit of an impact crater. Although there are only a handful of certain impact craters on Titan, there are two other craters that are of similar size to this newly discovered feature and that have been studied by VIMS: Sinlap (Le Mouélic et al., 2008) and Selk (Soderblom et al., 2010). Sinlap is associated with a large downwind, fan-like feature that may have been formed from an impact plume that rapidly expanded and deposited icy particles onto the surface. Although much of the surrounding region is covered with dunes, the plume region is devoid of dunes. The formation process of Selk also appears to have removed (or covered up) dunes from parts of the adjacent dune-filled terrain. The circular feature on Senkyo is quite different: there is no evidence of an ejecta blanket and the crater itself appears to be infilled with dune material. The rim of the crater appears to be eroded by fluvial processes; at one point the rim is breached. The rim is unusually narrow, which may be due to mass wasting on its inside and subsequent infill by dunes. Based on these observations, we interpret this newly discovered feature to be a more eroded crater than both Sinlap and Selk. Paxsi may have formed during a period when Titan was warmer and more ductile than it is currently.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2011.05.004","issn":"00320633","usgsCitation":"Buratti, B.J., Sotin, C., Lawrence, K., Brown, R.H., Le Mouelic, S., Soderblom, J., Barnes, J., Clark, R.N., Baines, K.H., and Nicholson, P.D., 2012, A newly discovered impact crater in Titan's Senkyo: Cassini VIMS observations and comparison with other impact features: Planetary and Space Science, v. 60, no. 1, p. 18-25, https://doi.org/10.1016/j.pss.2011.05.004.","productDescription":"8 p.","startPage":"18","endPage":"25","costCenters":[],"links":[{"id":242511,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4bbe4b0c8380cd468ab","contributors":{"authors":[{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":435275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, K.","contributorId":24185,"corporation":false,"usgs":true,"family":"Lawrence","given":"K.","affiliations":[],"preferred":false,"id":435271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":435270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Mouelic, S.","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouelic","given":"S.","affiliations":[],"preferred":false,"id":435278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Soderblom, J.M.","contributorId":31097,"corporation":false,"usgs":true,"family":"Soderblom","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":435272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnes, J.","contributorId":36237,"corporation":false,"usgs":true,"family":"Barnes","given":"J.","affiliations":[],"preferred":false,"id":435273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":435269,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":435274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":435276,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70032263,"text":"70032263 - 2012 - Simultaneous oxidation of arsenic and antimony at low and circumneutral pH, with and without microbial catalysis","interactions":[],"lastModifiedDate":"2017-11-09T09:05:47","indexId":"70032263","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous oxidation of arsenic and antimony at low and circumneutral pH, with and without microbial catalysis","docAbstract":"Arsenic and Sb are common mine-water pollutants and their toxicity and fate are strongly influenced by redox processes. In this study, simultaneous Fe(II), As(III) and Sb(III) oxidation experiments were conducted to obtain rates under laboratory conditions similar to those found in the field for mine waters of both low and circumneutral pH. Additional experiments were performed under abiotic sterile conditions to determine the biotic and abiotic contributions to the oxidation processes. The results showed that under abiotic conditions in aerated Fe(III)–H2SO4 solutions, Sb(III) oxidizes slightly faster than As(III). The oxidation rates of both elements were accelerated by increasing As(III), Sb(III), Fe(III), and Cl− concentrations in the presence of light. For unfiltered circumneutral water from the Giant Mine (Yellowknife, NWT, Canada), As(III) oxidized at 15–78 μmol/L/h whereas Sb(III) oxidized at 0.03–0.05 μmol/L/h during microbial exponential growth. In contrast, As(III) and Sb(III) oxidation rates of 0.01–0.03 and 0.01–0.02 μmol/L/h, respectively, were obtained in experiments performed with acid unfiltered mine waters from the Iberian Pyritic Belt (SW Spain). These results suggest that the Fe(III) formed from microbial oxidation abiotically oxidized As(III) and Sb(III). After sterile filtration of both mine water samples, neither As(III), Sb(III), nor Fe(II) oxidation was observed. Hence, under the experimental conditions, bacteria were catalyzing As and Sb oxidation in the Giant Mine waters and Fe oxidation in the acid waters of the Iberian Pyrite Belt.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.09.002","usgsCitation":"Asta, M.P., Nordstrom, D.K., and McCleskey, R.B., 2012, Simultaneous oxidation of arsenic and antimony at low and circumneutral pH, with and without microbial catalysis: Applied Geochemistry, v. 27, no. 1, p. 281-291, https://doi.org/10.1016/j.apgeochem.2011.09.002.","productDescription":"11 p.","startPage":"281","endPage":"291","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":242673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b90d4e4b08c986b319695","contributors":{"authors":[{"text":"Asta, Maria P.","contributorId":54455,"corporation":false,"usgs":true,"family":"Asta","given":"Maria","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":435323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":435324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":435322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032390,"text":"70032390 - 2012 - Temporal scaling of groundwater level fluctuations near a stream","interactions":[],"lastModifiedDate":"2020-12-02T13:01:19.21464","indexId":"70032390","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Temporal scaling of groundwater level fluctuations near a stream","docAbstract":"Temporal scaling in stream discharge and hydraulic heads in riparian wells was evaluated to determine the feasibility of using spectral analysis to identify potential surface and groundwater interaction. In floodplains where groundwater levels respond rapidly to precipitation recharge, potential interaction is established if the hydraulic head (h) spectrum of riparian groundwater has a power spectral density similar to stream discharge (Q), exhibiting a characteristic breakpoint between high and low frequencies. At a field site in Walnut Creek watershed in central Iowa, spectral analysis of h in wells located 1 m from the channel edge showed a breakpoint in scaling very similar to the spectrum of Q (∼20 h), whereas h in wells located 20 and 40 m from the channel showed temporal scaling from 1 to 10,000 h without a well‐defined breakpoint. The spectral exponent (β) in the riparian zone decreased systematically from the channel into the floodplain as groundwater levels were increasingly dominated by white noise groundwater recharge. The scaling pattern of hydraulic head was not affected by land cover type, although the number of analyses was limited and site conditions were variable among sites. Spectral analysis would not replace quantitative tracer or modeling studies, but the method may provide a simple means of confirming potential interaction at some sites.
","language":"English","publisher":"National Ground Water Association","doi":"10.1111/j.1745-6584.2011.00804.x","issn":"0017467X","usgsCitation":"Schilling, K.E., and Zhang, Y., 2012, Temporal scaling of groundwater level fluctuations near a stream: Ground Water, v. 50, no. 1, p. 59-67, https://doi.org/10.1111/j.1745-6584.2011.00804.x.","productDescription":"9 p.","startPage":"59","endPage":"67","costCenters":[],"links":[{"id":241506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213844,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00804.x"}],"country":"United States","state":"Iowa","county":"Jasper County","otherGeospatial":"Walnut Creek Watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.234,41.8622],[-93.1187,41.8624],[-93.0035,41.8624],[-92.8845,41.8619],[-92.7674,41.8618],[-92.7683,41.776],[-92.768,41.6879],[-92.7683,41.6007],[-92.7567,41.6011],[-92.7564,41.509],[-92.8729,41.5082],[-92.9894,41.5083],[-93.1047,41.5078],[-93.2181,41.5076],[-93.3304,41.5074],[-93.3314,41.6004],[-93.3504,41.6004],[-93.3496,41.688],[-93.3494,41.7757],[-93.3492,41.8624],[-93.234,41.8622]]]},\"properties\":{\"name\":\"Jasper\",\"state\":\"IA\"}}]}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"505ba518e4b08c986b3207e1","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Y.-K.","contributorId":44309,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.-K.","email":"","affiliations":[],"preferred":false,"id":435921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032391,"text":"70032391 - 2012 - The challenges of implementing pathogen control strategies for fishes used in biomedical research","interactions":[],"lastModifiedDate":"2020-12-22T18:36:23.765716","indexId":"70032391","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1296,"text":"Comparative Biochemistry and Physiology, Part C: Toxicology & Pharmacology","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of implementing pathogen control strategies for fishes used in biomedical research","docAbstract":"Over the past several decades, a number of fish species, including the zebrafish, medaka, and platyfish/swordtail, have become important models for human health and disease. Despite the increasing prevalence of these and other fish species in research, methods for health maintenance and the management of diseases in laboratory populations of these animals are underdeveloped. There is a growing realization that this trend must change, especially as the use of these species expands beyond developmental biology and more towards experimental applications where the presence of underlying disease may affect the physiology animals used in experiments and potentially compromise research results. Therefore, there is a critical need to develop, improve, and implement strategies for managing health and disease in aquatic research facilities. The purpose of this review is to report the proceedings of a workshop entitled “Animal Health and Disease Management in Research Animals” that was recently held at the 5th Aquatic Animal Models for Human Disease in September 2010 at Corvallis, Oregon to discuss the challenges involved with moving the field forward on this front.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cbpc.2011.06.007","issn":"15320456","usgsCitation":"Lawrence, C., Ennis, D., Harper, C., Kent, M., Murray, K., and Sanders, G., 2012, The challenges of implementing pathogen control strategies for fishes used in biomedical research: Comparative Biochemistry and Physiology, Part C: Toxicology & Pharmacology, v. 155, no. 1, p. 160-166, https://doi.org/10.1016/j.cbpc.2011.06.007.","productDescription":"7 p.","startPage":"160","endPage":"166","costCenters":[],"links":[{"id":474626,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3338152","text":"External Repository"},{"id":241507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213845,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cbpc.2011.06.007"}],"volume":"155","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa14e4b08c986b3226fd","contributors":{"authors":[{"text":"Lawrence, C.","contributorId":52799,"corporation":false,"usgs":true,"family":"Lawrence","given":"C.","affiliations":[],"preferred":false,"id":435926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennis, D.G.","contributorId":51103,"corporation":false,"usgs":true,"family":"Ennis","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":435925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harper, C.","contributorId":19380,"corporation":false,"usgs":true,"family":"Harper","given":"C.","email":"","affiliations":[],"preferred":false,"id":435923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, M.L.","contributorId":108058,"corporation":false,"usgs":true,"family":"Kent","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":435928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, K.","contributorId":69792,"corporation":false,"usgs":true,"family":"Murray","given":"K.","email":"","affiliations":[],"preferred":false,"id":435927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, George","contributorId":243223,"corporation":false,"usgs":true,"family":"Sanders","given":"George","email":"","affiliations":[],"preferred":true,"id":435924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032392,"text":"70032392 - 2012 - QuakeCaster, an earthquake physics demonstration and exploration tool","interactions":[],"lastModifiedDate":"2012-12-14T16:11:42","indexId":"70032392","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"QuakeCaster, an earthquake physics demonstration and exploration tool","docAbstract":"A fundamental riddle of earthquake occurrence is that tectonic motions at plate interiors are steady, changing only subtly over millions of years, but at plate boundary faults, the plates are stuck for hundreds of years and then suddenly jerk forward in earthquakes. Why does this happen? The answer, as formulated by Harry F. Reid (Reid 1910, 192) is that the Earth’s crust is elastic, behaving like a very stiff slab of rubber sliding over a substrate of “honey”-like asthenosphere, and that faults are restrained by friction. The crust near the faults—zones of weakness that separate the plates—slowly deforms, building up stress until frictional resistance on the fault is overcome and the fault suddenly slips. For the past century, scientists have sought ways to use this knowledge to forecast earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/gssrl.83.1.150","issn":"08950695","usgsCitation":"Linton, K., and Stein, R., 2012, QuakeCaster, an earthquake physics demonstration and exploration tool: Seismological Research Letters, v. 83, no. 1, p. 150-155, https://doi.org/10.1785/gssrl.83.1.150.","productDescription":"6 p.","startPage":"150","endPage":"155","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":241508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213846,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.83.1.150"}],"volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-09","publicationStatus":"PW","scienceBaseUri":"505a9077e4b0c8380cd7fd64","contributors":{"authors":[{"text":"Linton, K.","contributorId":42794,"corporation":false,"usgs":true,"family":"Linton","given":"K.","email":"","affiliations":[],"preferred":false,"id":435930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, R.S.","contributorId":8875,"corporation":false,"usgs":true,"family":"Stein","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":435929,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032403,"text":"70032403 - 2012 - Mesoproterozoic syntectonic garnet within Belt Supergroup metamorphic tectonites: Evidence of Grenville-age metamorphism and deformation along northwest Laurentia","interactions":[],"lastModifiedDate":"2020-12-02T12:58:11.966669","indexId":"70032403","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Mesoproterozoic syntectonic garnet within Belt Supergroup metamorphic tectonites: Evidence of Grenville-age metamorphism and deformation along northwest Laurentia","docAbstract":"Northern Idaho contains Belt-Purcell Supergroup equivalent metamorphic tectonites that underwent two regional deformational and metamorphic events during the Mesoproterozoic. Garnet-bearing pelitic schists from the Snow Peak area of northern Idaho yield Lu–Hf garnet-whole rock ages of 1085 ± 2 Ma, 1198 ± 79 Ma, 1207 ± 8 Ma, 1255 ± 28 Ma, and 1314 ± 2 Ma. Garnet from one sample, collected from the Clarkia area, was micro-drilled to obtain separate core and rim material that produced ages of 1347 ± 10 Ma and 1102 ± 47 Ma. The core versus rim ages from the micro-drilled sample along with the textural and spatial evidence of the other Lu–Hf garnet ages indicate two metamorphic garnet growth events at ~ 1330 Ma (M1) and ~ 1080 Ma (M2) with the intermediate ages representing mixed ages. Some garnet likely nucleated and grew M1 garnet cores that were later overgrown by younger M2 garnet rims. Most garnet throughout the Clarkia and Snow Peak areas are syntectonic with a regional penetrative deformational fabric, preserved as a strong preferred orientation of metamorphic matrix minerals (e.g., muscovite and biotite). The syntectonic garnets are interpreted to represent one regional, coeval metamorphic and deformation event at ~ 1080 Ma, which overlaps in time with the Grenville Orogeny. The older ~ 1330 Ma ages may represent an extension of the East Kootenay Orogeny described in western Canada. These deformational and metamorphic events indicate that western Laurentia (North America) was tectonically active in the Mesoproterozoic and during the assembly of the supercontinent Rodinia.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2011.12.008","issn":"00244937","usgsCitation":"Nesheim, T., Vervoort, J., McClelland, W., Gilotti, J.A., and Lang, H., 2012, Mesoproterozoic syntectonic garnet within Belt Supergroup metamorphic tectonites: Evidence of Grenville-age metamorphism and deformation along northwest Laurentia: LITHOS, v. 134-135, p. 91-107, https://doi.org/10.1016/j.lithos.2011.12.008.","productDescription":"17 p.","startPage":"91","endPage":"107","costCenters":[],"links":[{"id":241715,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.lithos.2011.12.008"}],"country":"United States","state":"Idaho, Washington, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.72949218749999,\n 46.07323062540835\n ],\n [\n -113.8623046875,\n 46.07323062540835\n ],\n [\n -113.8623046875,\n 47.81315451752768\n ],\n [\n -117.72949218749999,\n 47.81315451752768\n ],\n [\n -117.72949218749999,\n 46.07323062540835\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134-135","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5447e4b0c8380cd6cf2e","contributors":{"authors":[{"text":"Nesheim, T.O.","contributorId":48772,"corporation":false,"usgs":true,"family":"Nesheim","given":"T.O.","email":"","affiliations":[],"preferred":false,"id":435988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vervoort, J.D.","contributorId":98126,"corporation":false,"usgs":true,"family":"Vervoort","given":"J.D.","affiliations":[],"preferred":false,"id":435991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClelland, W.C.","contributorId":66929,"corporation":false,"usgs":true,"family":"McClelland","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":435989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilotti, J. A.","contributorId":15776,"corporation":false,"usgs":true,"family":"Gilotti","given":"J.","middleInitial":"A.","affiliations":[],"preferred":false,"id":435987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lang, H.M.","contributorId":80911,"corporation":false,"usgs":true,"family":"Lang","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":435990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032405,"text":"70032405 - 2012 - Quantifying riverine surface currents from time sequences of thermal infrared imagery","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70032405","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying riverine surface currents from time sequences of thermal infrared imagery","docAbstract":"River surface currents are quantified from thermal and visible band imagery using two methods. One method utilizes time stacks of pixel intensity to estimate the streamwise velocity at multiple locations. The other method uses particle image velocimetry to solve for optimal two-dimensional pixel displacements between successive frames. Field validation was carried out on the Wolf River, a small coastal plain river near Landon, Mississippi, United States, on 26-27 May 2010 by collecting imagery in association with in situ velocities sampled using electromagnetic current meters deployed 0.1 m below the river surface. Comparisons are made between mean in situ velocities and image-derived velocities from 23 thermal and 6 visible-band image sequences (5 min length) during daylight and darkness conditions. The thermal signal was a small apparent temperature contrast induced by turbulent mixing of a thin layer of cooler water near the river surface with underlying warmer water. The visible-band signal was foam on the water surface. For thermal imagery, streamwise velocities derived from the pixel time stack and particle image velocimetry technique were generally highly correlated to mean streamwise current meter velocities during darkness (r 2 typically greater than 0.9) and early morning daylight (r 2 typically greater than 0.83). Streamwise velocities from the pixel time stack technique had high correlation for visible-band imagery during early morning daylight hours with respect to mean current meter velocities (r 2 > 0.86). Streamwise velocities for the particle image velocimetry technique for visible-band imagery had weaker correlations with only three out of six correlations performed having an r 2 exceeding 0.6. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011WR010770","issn":"00431397","usgsCitation":"Puleo, J., McKenna, T., Holland, K.T., and Calantoni, J., 2012, Quantifying riverine surface currents from time sequences of thermal infrared imagery: Water Resources Research, v. 48, no. 1, https://doi.org/10.1029/2011WR010770.","costCenters":[],"links":[{"id":474785,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr010770","text":"Publisher Index Page"},{"id":214063,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR010770"},{"id":241750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-20","publicationStatus":"PW","scienceBaseUri":"505a91dbe4b0c8380cd804e3","contributors":{"authors":[{"text":"Puleo, Jack A.","contributorId":108287,"corporation":false,"usgs":true,"family":"Puleo","given":"Jack A.","affiliations":[],"preferred":false,"id":436000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, T.E.","contributorId":103819,"corporation":false,"usgs":true,"family":"McKenna","given":"T.E.","email":"","affiliations":[],"preferred":false,"id":435999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":435998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calantoni, J.","contributorId":19382,"corporation":false,"usgs":true,"family":"Calantoni","given":"J.","affiliations":[],"preferred":false,"id":435997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032407,"text":"70032407 - 2012 - Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032407","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors","docAbstract":"Salt marshes are delicate landforms at the boundary between the sea and land. These ecosystems support a diverse biota that modifies the erosive characteristics of the substrate and mediates sediment transport processes. Here we present a broad overview of recent numerical models that quantify the formation and evolution of salt marshes under different physical and ecological drivers. In particular, we focus on the coupling between geomorphological and ecological processes and on how these feedbacks are included in predictive models of landform evolution. We describe in detail models that simulate fluxes of water, organic matter, and sediments in salt marshes. The interplay between biological and morphological processes often produces a distinct scarp between salt marshes and tidal flats. Numerical models can capture the dynamics of this boundary and the progradation or regression of the marsh in time. Tidal channels are also key features of the marsh landscape, flooding and draining the marsh platform and providing a source of sediments and nutrients to the marsh ecosystem. In recent years, several numerical models have been developed to describe the morphogenesis and long-term dynamics of salt marsh channels. Finally, salt marshes are highly sensitive to the effects of long-term climatic change. We therefore discuss in detail how numerical models have been used to determine salt marsh survival under different scenarios of sea level rise. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011RG000359","issn":"87551209","usgsCitation":"Fagherazzi, S., Kirwan, M.L., Mudd, S., Guntenspergen, G., Temmerman, S., D'Alpaos, A., Van De Koppel, J., Rybczyk, J., Reyes, E., Craft, C., and Clough, J., 2012, Numerical models of salt marsh evolution: Ecological, geomorphic, and climatic factors: Reviews of Geophysics, v. 50, no. 1, https://doi.org/10.1029/2011RG000359.","costCenters":[],"links":[{"id":474635,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":213598,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011RG000359"},{"id":241242,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-06","publicationStatus":"PW","scienceBaseUri":"505a6902e4b0c8380cd73b03","contributors":{"authors":[{"text":"Fagherazzi, S.","contributorId":87375,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"S.","affiliations":[],"preferred":false,"id":436018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, M. L.","contributorId":74094,"corporation":false,"usgs":true,"family":"Kirwan","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":436015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mudd, S.M.","contributorId":19377,"corporation":false,"usgs":true,"family":"Mudd","given":"S.M.","affiliations":[],"preferred":false,"id":436011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, G.R. 0000-0002-8593-0244","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":95424,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.R.","affiliations":[],"preferred":false,"id":436019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, S.","contributorId":18099,"corporation":false,"usgs":true,"family":"Temmerman","given":"S.","affiliations":[],"preferred":false,"id":436010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D'Alpaos, A.","contributorId":52406,"corporation":false,"usgs":true,"family":"D'Alpaos","given":"A.","affiliations":[],"preferred":false,"id":436013,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van De Koppel, J.","contributorId":9875,"corporation":false,"usgs":true,"family":"Van De Koppel","given":"J.","affiliations":[],"preferred":false,"id":436009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rybczyk, J.M.","contributorId":41796,"corporation":false,"usgs":true,"family":"Rybczyk","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":436012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reyes, E.","contributorId":83886,"corporation":false,"usgs":true,"family":"Reyes","given":"E.","email":"","affiliations":[],"preferred":false,"id":436016,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Craft, C.","contributorId":67712,"corporation":false,"usgs":true,"family":"Craft","given":"C.","email":"","affiliations":[],"preferred":false,"id":436014,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clough, J.","contributorId":84168,"corporation":false,"usgs":true,"family":"Clough","given":"J.","email":"","affiliations":[],"preferred":false,"id":436017,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70032410,"text":"70032410 - 2012 - Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","interactions":[],"lastModifiedDate":"2018-06-01T14:28:40","indexId":"70032410","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design","docAbstract":"Hi‐Desert Water District (HDWD), the primary water‐management agency in the Warren Groundwater Basin, California, plans to construct a waste water treatment plant to reduce future septic‐tank effluent from reaching the groundwater system. The treated waste water will be reclaimed by recharging the groundwater basin via recharge ponds as part of a larger conjunctive‐use strategy. HDWD wishes to identify the least‐cost conjunctive‐use strategies for managing imported surface water, reclaimed water, and local groundwater. As formulated, the mixed‐integer nonlinear programming (MINLP) groundwater‐management problem seeks to minimize water‐delivery costs subject to constraints including potential locations of the new pumping wells, California State regulations, groundwater‐level constraints, water‐supply demand, available imported water, and pump/recharge capacities. In this study, a hybrid‐optimization algorithm, which couples a genetic algorithm and successive‐linear programming, is developed to solve the MINLP problem. The algorithm was tested by comparing results to the enumerative solution for a simplified version of the HDWD groundwater‐management problem. The results indicate that the hybrid‐optimization algorithm can identify the global optimum. The hybrid‐optimization algorithm is then applied to solve a complex groundwater‐management problem. Sensitivity analyses were also performed to assess the impact of varying the new recharge pond orientation, varying the mixing ratio of reclaimed water and pumped water, and varying the amount of imported water available. The developed conjunctive management model can provide HDWD water managers with information that will improve their ability to manage their surface water, reclaimed water, and groundwater resources.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2011.00828.x","issn":"0017467X","usgsCitation":"Chiu, Y., Nishikawa, T., and Martin, P., 2012, Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design: Ground Water, v. 50, no. 1, p. 103-117, https://doi.org/10.1111/j.1745-6584.2011.00828.x.","productDescription":"15 p.","startPage":"103","endPage":"117","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":241276,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213630,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2011.00828.x"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-02","publicationStatus":"PW","scienceBaseUri":"505a32c0e4b0c8380cd5ea45","contributors":{"authors":[{"text":"Chiu, Yung-Chia","contributorId":103134,"corporation":false,"usgs":true,"family":"Chiu","given":"Yung-Chia","email":"","affiliations":[],"preferred":false,"id":436034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032417,"text":"70032417 - 2012 - PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology","interactions":[],"lastModifiedDate":"2022-11-14T15:41:40.793958","indexId":"70032417","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"displayTitle":"PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology","title":"PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology","docAbstract":"Interest in coral microbial ecology has been increasing steadily over the last decade, yet standardized methods of sample collection still have not been defined. Two methods were compared for their ability to sample coral-associated microbial communities: tissue punches and foam swabs, the latter being less invasive and preferred by reef managers. Four colonies of star coral, Montastraea annularis, were sampled in the Dry Tortugas National Park (two healthy and two with white plague disease). The PhyloChip™ G3 microarray was used to assess microbial community structure of amplified 16S rRNA gene sequences. Samples clustered based on methodology rather than coral colony. Punch samples from healthy and diseased corals were distinct. All swab samples clustered closely together with the seawater control and did not group according to the health state of the corals. Although more microbial taxa were detected by the swab method, there is a much larger overlap between the water control and swab samples than punch samples, suggesting some of the additional diversity is due to contamination from water absorbed by the swab. While swabs are useful for noninvasive studies of the coral surface mucus layer, these results show that they are not optimal for studies of coral disease.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.mimet.2011.10.019","usgsCitation":"Kellogg, C.A., Piceno, Y., Tom, L.M., DeSantis, T.Z., Zawada, D., and Andersen, G., 2012, PhyloChipTM microarray comparison of sampling methods used for coral microbial ecology: Journal of Microbiological Methods, v. 88, no. 1, p. 103-109, https://doi.org/10.1016/j.mimet.2011.10.019.","productDescription":"7 p.","startPage":"103","endPage":"109","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":241405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.76726111255684,\n 24.668880028267623\n ],\n [\n -82.76808893731325,\n 24.70347980045176\n ],\n [\n -82.80244366469317,\n 24.726039692971767\n ],\n [\n -82.8670139956724,\n 24.725287762430412\n ],\n [\n -82.90012698591825,\n 24.717768207105777\n ],\n [\n -82.96635296640954,\n 24.647814596972225\n ],\n [\n -82.96511122927551,\n 24.5657760529391\n ],\n [\n -82.89722959927172,\n 24.566528944544928\n ],\n [\n -82.79996019042464,\n 24.616209786360997\n ],\n [\n -82.76767502493483,\n 24.668880028267623\n ],\n [\n -82.76726111255684,\n 24.668880028267623\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7a4be4b0c8380cd78e33","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":436061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piceno, Yvette M.","contributorId":66977,"corporation":false,"usgs":true,"family":"Piceno","given":"Yvette M.","affiliations":[],"preferred":false,"id":436064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tom, Lauren M.","contributorId":92938,"corporation":false,"usgs":true,"family":"Tom","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":436062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSantis, Todd Z.","contributorId":101158,"corporation":false,"usgs":true,"family":"DeSantis","given":"Todd","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":436063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":436060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, Gary L.","contributorId":20679,"corporation":false,"usgs":true,"family":"Andersen","given":"Gary L.","affiliations":[],"preferred":false,"id":436059,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032418,"text":"70032418 - 2012 - Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters","interactions":[],"lastModifiedDate":"2020-12-01T21:16:59.810007","indexId":"70032418","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2169,"text":"Journal of Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters","docAbstract":"Aims: The objective was to assess the impacts of repairing a failing onsite wastewater treatment system (OWTS, i.e., septic system) as related to coastal microbial water quality. Methods and Results: Wastewater, groundwater and surface water were monitored for environmental parameters, faecal indicator bacteria (total coliforms, Escherichia coli, enterococci) and the viral tracer MS2 before and after repairing a failing OWTS. MS2 results using plaque enumeration and quantitative reverse transcriptase polymerase chain reaction (qRT‐PCR) often agreed, but inhibition limited the qRT‐PCR assay sensitivity. Prerepair, MS2 persisted in groundwater and was detected in the nearby creek; postrepair, it was not detected. In groundwater, total coliform concentrations were lower and E. coli was not detected, while enterococci concentrations were similar to prerepair levels. E. coli and enterococci surface water concentrations were elevated both before and after the repair. Conclusions: Repairing the failing OWTS improved groundwater microbial water quality, although persistence of bacteria in surface water suggests that the OWTS was not the singular faecal contributor to adjacent coastal waters. A suite of tracers is needed to fully assess OWTS performance in treating microbial contaminants and related impacts on receiving waters. Molecular methods like qRT‐PCR have potential but require optimization. Significance and Impact of Study: This is the first before and after study of a failing OWTS and provides guidance on selection of microbial tracers and methods.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2672.2011.05183.x","issn":"13645072","usgsCitation":"Conn, K., Habteselassie, M., Denene, B.A., and Noble, R., 2012, Microbial water quality before and after the repair of a failing onsite wastewater treatment system adjacent to coastal waters: Journal of Applied Microbiology, v. 112, no. 1, p. 214-224, https://doi.org/10.1111/j.1365-2672.2011.05183.x.","productDescription":"11 p.","startPage":"214","endPage":"224","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":241406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213749,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2672.2011.05183.x"}],"country":"United States","state":"North Carolina","otherGeospatial":"Newport River estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.91665649414062,\n 34.699848377328934\n ],\n [\n -76.56097412109375,\n 34.699848377328934\n ],\n [\n -76.56097412109375,\n 34.898321507559885\n ],\n [\n -76.91665649414062,\n 34.898321507559885\n ],\n [\n -76.91665649414062,\n 34.699848377328934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"112","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a5663e4b0c8380cd6d56d","contributors":{"authors":[{"text":"Conn, K.E.","contributorId":64433,"corporation":false,"usgs":true,"family":"Conn","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":436067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Habteselassie, M.Y.","contributorId":6267,"corporation":false,"usgs":true,"family":"Habteselassie","given":"M.Y.","email":"","affiliations":[],"preferred":false,"id":436065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denene, Blackwood A.","contributorId":87378,"corporation":false,"usgs":true,"family":"Denene","given":"Blackwood","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, R.T.","contributorId":60452,"corporation":false,"usgs":true,"family":"Noble","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":436066,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032430,"text":"70032430 - 2012 - Slab1.0: A three-dimensional model of global subduction zone geometries","interactions":[],"lastModifiedDate":"2018-03-08T12:20:03","indexId":"70032430","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Slab1.0: A three-dimensional model of global subduction zone geometries","docAbstract":"We describe and present a new model of global subduction zone geometries, called Slab1.0. An extension of previous efforts to constrain the two-dimensional non-planar geometry of subduction zones around the focus of large earthquakes, Slab1.0 describes the detailed, non-planar, three-dimensional geometry of approximately 85% of subduction zones worldwide. While the model focuses on the detailed form of each slab from their trenches through the seismogenic zone, where it combines data sets from active source and passive seismology, it also continues to the limits of their seismic extent in the upper-mid mantle, providing a uniform approach to the definition of the entire seismically active slab geometry. Examples are shown for two well-constrained global locations; models for many other regions are available and can be freely downloaded in several formats from our new Slab1.0 website, http://on.doi.gov/d9ARbS. We describe improvements in our two-dimensional geometry constraint inversion, including the use of ‘average’ active source seismic data profiles in the shallow trench regions where data are otherwise lacking, derived from the interpolation between other active source seismic data along-strike in the same subduction zone. We include several analyses of the uncertainty and robustness of our three-dimensional interpolation methods. In addition, we use the filtered, subduction-related earthquake data sets compiled to build Slab1.0 in a reassessment of previous analyses of the deep limit of the thrust interface seismogenic zone for all subduction zones included in our global model thus far, concluding that the width of these seismogenic zones is on average 30% larger than previous studies have suggested.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011JB008524","usgsCitation":"Hayes, G.P., Wald, D.J., and Johnson, R.L., 2012, Slab1.0: A three-dimensional model of global subduction zone geometries: Journal of Geophysical Research B: Solid Earth, v. 117, no. B1, Article B01302; 15 p., https://doi.org/10.1029/2011JB008524.","productDescription":"Article B01302; 15 p.","costCenters":[],"links":[{"id":241645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"B1","noUsgsAuthors":false,"publicationDate":"2012-01-04","publicationStatus":"PW","scienceBaseUri":"505b912ee4b08c986b3197a2","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":436147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":436146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Rebecca L. 0000-0002-8771-6161 rljohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8771-6161","contributorId":178874,"corporation":false,"usgs":true,"family":"Johnson","given":"Rebecca","email":"rljohnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":436145,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70032433,"text":"70032433 - 2012 - Crucial nesting habitat for gunnison sage-grouse: A spatially explicit hierarchical approach","interactions":[],"lastModifiedDate":"2020-12-02T12:53:54.173606","indexId":"70032433","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Crucial nesting habitat for gunnison sage-grouse: A spatially explicit hierarchical approach","docAbstract":"Gunnison sage-grouse (Centrocercus minimus) is a species of special concern and is currently considered a candidate species under Endangered Species Act. Careful management is therefore required to ensure that suitable habitat is maintained, particularly because much of the species' current distribution is faced with exurban development pressures. We assessed hierarchical nest site selection patterns of Gunnison sage-grouse inhabiting the western portion of the Gunnison Basin, Colorado, USA, at multiple spatial scales, using logistic regression-based resource selection functions. Models were selected using Akaike Information Criterion corrected for small sample sizes (AIC c ) and predictive surfaces were generated using model averaged relative probabilities. Landscape-scale factors that had the most influence on nest site selection included the proportion of sagebrush cover >5%, mean productivity, and density of 2 wheel-drive roads. The landscape-scale predictive surface captured 97% of known Gunnison sage-grouse nests within the top 5 of 10 prediction bins, implicating 57% of the basin as crucial nesting habitat. Crucial habitat identified by the landscape model was used to define the extent for patch-scale modeling efforts. Patch-scale variables that had the greatest influence on nest site selection were the proportion of big sagebrush cover >10%, distance to residential development, distance to high volume paved roads, and mean productivity. This model accurately predicted independent nest locations. The unique hierarchical structure of our models more accurately captures the nested nature of habitat selection, and allowed for increased discrimination within larger landscapes of suitable habitat. We extrapolated the landscape-scale model to the entire Gunnison Basin because of conservation concerns for this species. We believe this predictive surface is a valuable tool which can be incorporated into land use and conservation planning as well the assessment of future land-use scenarios.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.268","issn":"0022541X","usgsCitation":"Aldridge, C.L., Saher, D., Childers, T., Stahlnecker, K., and Bowen, Z., 2012, Crucial nesting habitat for gunnison sage-grouse: A spatially explicit hierarchical approach: Journal of Wildlife Management, v. 76, no. 2, p. 391-406, https://doi.org/10.1002/jwmg.268.","productDescription":"16 p.","startPage":"391","endPage":"406","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474769,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.268","text":"Publisher Index Page"},{"id":241680,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.984375,\n 38.685509760012\n ],\n [\n -108.3251953125,\n 37.96152331396614\n ],\n [\n -106.89697265625,\n 38.20365531807149\n ],\n [\n -106.45751953125,\n 39.36827914916014\n ],\n [\n -106.54541015625,\n 40.38002840251183\n ],\n [\n -107.9736328125,\n 40.49709237269567\n ],\n [\n -108.74267578125,\n 40.06125658140474\n ],\n [\n -109.09423828125,\n 39.99395569397331\n ],\n [\n -108.984375,\n 38.685509760012\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-28","publicationStatus":"PW","scienceBaseUri":"5059fcc9e4b0c8380cd4e42f","contributors":{"authors":[{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":436155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saher, D.J.","contributorId":54933,"corporation":false,"usgs":true,"family":"Saher","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":436156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childers, T.M.","contributorId":75343,"corporation":false,"usgs":true,"family":"Childers","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":436157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahlnecker, K.E.","contributorId":8300,"corporation":false,"usgs":true,"family":"Stahlnecker","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":436154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, Z.H.","contributorId":81045,"corporation":false,"usgs":true,"family":"Bowen","given":"Z.H.","email":"","affiliations":[],"preferred":false,"id":436158,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032436,"text":"70032436 - 2012 - The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange","interactions":[],"lastModifiedDate":"2012-12-13T15:03:58","indexId":"70032436","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange","docAbstract":"We describe an approach for calibrating a two-dimensional (2-D) flow model of hyporheic exchange using observations of temperature and pressure to estimate hydraulic and thermal properties. A longitudinal 2-D heat and flow model was constructed for a riffle-pool sequence to simulate flow paths and flux rates for variable discharge conditions. A uniform random sampling approach was used to examine the solution space and identify optimal values at local and regional scales. We used a regional sensitivity analysis to examine the effects of parameter correlation and nonuniqueness commonly encountered in multidimensional modeling. The results from this study demonstrate the ability to estimate hydraulic and thermal parameters using measurements of temperature and pressure to simulate exchange and flow paths. Examination of the local parameter space provides the potential for refinement of zones that are used to represent sediment heterogeneity within the model. The results indicate vertical hydraulic conductivity was not identifiable solely using pressure observations; however, a distinct minimum was identified using temperature observations. The measured temperature and pressure and estimated vertical hydraulic conductivity values indicate the presence of a discontinuous low-permeability deposit that limits the vertical penetration of seepage beneath the riffle, whereas there is a much greater exchange where the low-permeability deposit is absent. Using both temperature and pressure to constrain the parameter estimation process provides the lowest overall root-mean-square error as compared to using solely temperature or pressure observations. This study demonstrates the benefits of combining continuous temperature and pressure for simulating hyporheic exchange and flow in a riffle-pool sequence. Copyright 2012 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union (AGU)","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011179","issn":"00431397","usgsCitation":"Naranjo, R.C., Niswonger, R., Stone, M., Davis, C., and McKay, A., 2012, The use of multiobjective calibration and regional sensitivity analysis in simulating hyporheic exchange: Water Resources Research, v. 48, no. W01538, 16 p., https://doi.org/10.1029/2011WR011179.","productDescription":"16 p.","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":474681,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011179","text":"Publisher Index Page"},{"id":214064,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011179"},{"id":241751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Little Nixon","otherGeospatial":"Truckee River;Pyramid Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.54406,39.738458 ], [ -119.54406,39.917556 ], [ -119.237622,39.917556 ], [ -119.237622,39.738458 ], [ -119.54406,39.738458 ] ] ] } } ] }","volume":"48","issue":"W01538","noUsgsAuthors":false,"publicationDate":"2012-01-26","publicationStatus":"PW","scienceBaseUri":"505bb191e4b08c986b325342","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":436172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":436175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Mark","contributorId":34335,"corporation":false,"usgs":true,"family":"Stone","given":"Mark","email":"","affiliations":[],"preferred":false,"id":436174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Clinton","contributorId":30835,"corporation":false,"usgs":true,"family":"Davis","given":"Clinton","affiliations":[],"preferred":false,"id":436173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKay, Alan","contributorId":94870,"corporation":false,"usgs":true,"family":"McKay","given":"Alan","email":"","affiliations":[],"preferred":false,"id":436176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032437,"text":"70032437 - 2012 - Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA)","interactions":[],"lastModifiedDate":"2020-12-01T19:07:43.93667","indexId":"70032437","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA)","docAbstract":"Monthly phosphorus loads from uplands, atmospheric deposition, and wastewater to Rehoboth Bay (Delaware) were determined from October 1998 to April 2002 to evaluate the relative importance of these three sources of P to the Bay. Loads from a representative subwatershed were determined and used in an areal extrapolation to estimate the upland load from the entire watershed. Soluble reactive phosphorus (SRP) and dissolved organic P (DOP) are the predominant forms of P in baseflow and P loads from the watershed are highest during the summer months. Particulate phosphorus (PP) becomes more significant in stormflow and during periods with more frequent or larger storms. Atmospheric deposition of P is only a minor source of P to Rehoboth Bay. During the period of 1998–2002, wastewater was the dominant external source of P to Rehoboth Bay, often exceeding all other P sources combined. Since 2002, however, due to technical improvements to the sole wastewater plant discharging directly to the Bay, the wastewater contribution of P has been significantly reduced and upland waters are now the principal source of P on an annualized basis. Based on comparison of N and P loads, primary productivity and biomass carrying capacity in Rehoboth Bay should be limited by P availability. However, due to the contrasting spatial and temporal patterns of N and P loading and perhaps internal cycling within the ecosystem, spatial and temporal variations in N and P-limitation within Rehoboth Bay are likely.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2011.10.023","issn":"02727714","usgsCitation":"Volk, J., Scudlark, J., Savidge, K., Andres, A., Stenger, R., and Ullman, W., 2012, Intra- and inter-annual trends in phosphorus loads and comparison with nitrogen loads to Rehoboth Bay, Delaware (USA): Estuarine, Coastal and Shelf Science, v. 96, no. 1, p. 139-150, https://doi.org/10.1016/j.ecss.2011.10.023.","productDescription":"12 p.","startPage":"139","endPage":"150","costCenters":[],"links":[{"id":241752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214065,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2011.10.023"}],"country":"United States","state":"Delaware","otherGeospatial":"Rehoboth Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.34423828125,\n 38.50519140240356\n ],\n [\n -74.99542236328125,\n 38.50519140240356\n ],\n [\n -74.99542236328125,\n 38.89744587262311\n ],\n [\n -75.34423828125,\n 38.89744587262311\n ],\n [\n -75.34423828125,\n 38.50519140240356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3db8e4b0c8380cd637a8","contributors":{"authors":[{"text":"Volk, J.A.","contributorId":20497,"corporation":false,"usgs":true,"family":"Volk","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":436178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scudlark, J.R.","contributorId":86952,"corporation":false,"usgs":true,"family":"Scudlark","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":436181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, K.B.","contributorId":95254,"corporation":false,"usgs":true,"family":"Savidge","given":"K.B.","email":"","affiliations":[],"preferred":false,"id":436182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andres, A.S.","contributorId":84557,"corporation":false,"usgs":true,"family":"Andres","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":436180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stenger, R.J.","contributorId":7513,"corporation":false,"usgs":true,"family":"Stenger","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":436177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ullman, W.J.","contributorId":28796,"corporation":false,"usgs":true,"family":"Ullman","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":436179,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032497,"text":"70032497 - 2012 - Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin","interactions":[],"lastModifiedDate":"2017-11-02T16:40:11","indexId":"70032497","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin","docAbstract":"Multi-temporal interferometric synthetic aperture radar (InSAR) is an effective tool to detect long-term seismotectonic motions by reducing the atmospheric artifacts, thereby providing more precise deformation signal. The commonly used approaches such as persistent scatterer InSAR (PSInSAR) and small baseline subset (SBAS) algorithms need to resolve the phase ambiguities in interferogram stacks either by searching a predefined solution space or by sparse phase unwrapping methods; however the efficiency and the success of phase unwrapping cannot be guaranteed. We present here an alternative approach – temporarily coherent point (TCP) InSAR (TCPInSAR) – to estimate the long term deformation rate without the need of phase unwrapping. The proposed approach has a series of innovations including TCP identification, TCP network and TCP least squares estimator. We apply the proposed method to the Los Angeles Basin in southern California where structurally active faults are believed capable of generating damaging earthquakes. The analysis is based on 55 interferograms from 32 ERS-1/2 images acquired during Oct. 1995 and Dec. 2000. To evaluate the performance of TCPInSAR on a small set of observations, a test with half of interferometric pairs is also performed. The retrieved TCPInSAR measurements have been validated by a comparison with GPS observations from Southern California Integrated GPS Network. Our result presents a similar deformation pattern as shown in past InSAR studies but with a smaller average standard deviation (4.6 mm) compared with GPS observations, indicating that TCPInSAR is a promising alternative for efficiently mapping ground deformation even from a relatively smaller set of interferograms.
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In SWAT, four hydrologic processes, which are surface runoff, baseflow, groundwater re-evaporation and deep aquifer percolation, are modeled by using a group of empirical equations. The empirical equations usually constrain the simulation capability of relevant processes. To replace these equations and to model the influences of topography and water table variation on streamflow generation, the TOPMODEL features are integrated into SWAT, and a new model, the so-called SWAT-TOP, is developed. In the new model, the process of deep aquifer percolation is removed, the concept of groundwater re-evaporation is refined, and the processes of surface runoff and baseflow are remodeled. Consequently, three parameters in SWAT are discarded, and two new parameters to reflect the TOPMODEL features are introduced. SWAT-TOP and SWAT are applied to the East River basin in South China, and the results reveal that, compared with SWAT, the new model can provide a more reasonable simulation of the hydrologic processes of surface runoff, groundwater re-evaporation, and baseflow. 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Using an established statistical technique to summarize the adoption literature in the United States, we identified the following variables as having the largest impact on adoption: access to and quality of information, financial capacity, and being connected to agency or local networks of farmers or watershed groups. This study shows that various approaches to data collection affect the results and comparability of adoption studies. In particular, environmental awareness and farmer attitudes have been inconsistently used and measured across the literature. 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Conservation focusing on forest-dwelling bats requires understanding of community-level interactions between these predators and their insect prey. Our study assessed bat activity and insect occurrence (abundance and diversity) across a gradient of forest disturbance and structure (silvicultural treatments) in the Central Appalachian region of North America. We conducted acoustic surveys of bat echolocation concurrent with insect surveys using blacklight and malaise traps over 2 years. Predator activity, prey occurrence and prey biomass varied seasonally and across the region. The number of bat echolocation pulses was positively related with forest disturbance, whereas prey demonstrated varied trends. Lepidopteran abundance was negatively related with disturbance, while dipteran abundance and diversity was positively related with disturbance. Coleoptera were unaffected. Neither bat nor insect response variables differed between plot interiors and edges. 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