{"pageNumber":"180","pageRowStart":"4475","pageSize":"25","recordCount":10462,"records":[{"id":70003783,"text":"70003783 - 2012 - Movement of resident rainbow trout transplanted below a barrier to anadromy","interactions":[],"lastModifiedDate":"2017-05-10T13:44:44","indexId":"70003783","displayToPublicDate":"2012-06-01T15:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Movement of resident rainbow trout transplanted below a barrier to anadromy","docAbstract":"<p>We tracked the movement of resident coastal rainbow trout <i>Oncorhynchus mykiss irideus</i> that were experimentally transplanted below a migration barrier in a northern California stream. In 2005 and 2006, age-1 and older rainbow trout were captured above a 5-m-high waterfall in Freshwater Creek and individually marked with passive integrated transponder tags. Otolith microchemistry confirmed that the above-barrier trout were the progeny of resident rather than anadromous parents, and genetic analysis indicated that the rainbow trout were introgressed with cutthroat trout <i>O. clarkii</i>. At each of three sampling events, half of the tagged individuals (<i>n</i> = 22 and 43 trout in 2005 and 2006, respectively) were released 5 km downstream from the waterfall (approximately 10 km upstream from tidewater), and an equal number of tagged individuals were released above the barrier. Tagged individuals were subsequently relocated with stationary and mobile antennae or recaptured in downstream migrant traps, or both, until tracking ceased in October 2007. Most transplanted individuals remained within a few hundred meters of their release location. Three individuals, including one rainbow trout released above the waterfall, were last detected in the tidally influenced lower creek. Two additional tagged individuals released above the barrier were found alive in below-barrier reaches and had presumably washed over the falls. Two of seven tagged rainbow trout captured in downstream migrant traps had smolted and one was a presmolt. The smoltification of at least some individuals, coupled with above-barrier \"leakage\" of fish downstream, suggests that above-barrier resident trout have the potential to exhibit migratory behavior and to enter breeding populations of steelhead (anadromous rainbow trout) within the basin.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.662204","usgsCitation":"Wilzbach, M.A., Ashenfelter, M.J., and Ricker, S.J., 2012, Movement of resident rainbow trout transplanted below a barrier to anadromy: Transactions of the American Fisheries Society, v. 141, no. 2, p. 294-304, https://doi.org/10.1080/00028487.2012.662204.","productDescription":"11 p.","startPage":"294","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029228","costCenters":[{"id":204,"text":"Cooperative Research Unit Seattle","active":false,"usgs":true}],"links":[{"id":257295,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-06","publicationStatus":"PW","scienceBaseUri":"505a5f20e4b0c8380cd70da7","contributors":{"authors":[{"text":"Wilzbach, Margaret A.","contributorId":76981,"corporation":false,"usgs":true,"family":"Wilzbach","given":"Margaret","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashenfelter, Mark J.","contributorId":24613,"corporation":false,"usgs":true,"family":"Ashenfelter","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricker, Seth J.","contributorId":38828,"corporation":false,"usgs":true,"family":"Ricker","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348825,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175264,"text":"70175264 - 2012 - Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models","interactions":[],"lastModifiedDate":"2016-08-03T14:24:11","indexId":"70175264","displayToPublicDate":"2012-06-01T15:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models","docAbstract":"<p>Bats face unprecedented threats from habitat loss, climate change, disease, and wind power development, and populations of many species are in decline. A better ability to quantify bat population status and trend is urgently needed in order to develop effective conservation strategies. We used a Bayesian autoregressive approach to develop dynamic distribution models for&nbsp;<i><span class=\"genusSpeciesInfoAsset\">Myotis lucifugus</span></i>, the little brown bat, across a large portion of northwestern USA, using a four-year detection history matrix obtained from a regional monitoring program. This widespread and abundant species has experienced precipitous local population declines in northeastern USA resulting from the novel disease white-nose syndrome, and is facing likely range-wide declines. Our models were temporally dynamic and accounted for imperfect detection. Drawing on species&ndash;energy theory, we included measures of net primary productivity (NPP) and forest cover in models, predicting that&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;occurrence probabilities would covary positively along those gradients.</p>\n<p>Despite its common status,&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;was only detected during &sim;50% of the surveys in occupied sample units. The overall na&iuml;ve estimate for the proportion of the study region occupied by the species was 0.69, but after accounting for imperfect detection, this increased to &sim;0.90. Our models provide evidence of an association between NPP and forest cover and&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;distribution, with implications for the projected effects of accelerated climate change in the region, which include net aridification as snowpack and stream flows decline. Annual turnover, the probability that an occupied sample unit was a newly occupied one, was estimated to be low (&sim;0.04&ndash;0.14), resulting in flat trend estimated with relatively high precision (SD = 0.04). We mapped the variation in predicted occurrence probabilities and corresponding prediction uncertainty along the productivity gradient. Our results provide a much needed baseline against which future anticipated declines in&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;occurrence can be measured. The dynamic distribution modeling approach has broad applicability to regional bat monitoring efforts now underway in several countries and we suggest ways to improve and expand our grid-based monitoring program to gain robust insights into bat population status and trend across large portions of North America.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/11-1662.1","usgsCitation":"Rodhouse, T., Ormsbee, P., Irvine, K.M., Vierling, L.A., Szewczak, J.M., and Vierling, K.T., 2012, Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models: Ecological Applications, v. 22, no. 4, p. 1098-1113, https://doi.org/10.1890/11-1662.1.","startPage":"1098","endPage":"1113","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032671","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bbe4b006cb45558a2f","contributors":{"authors":[{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":644614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ormsbee, Patricia C.","contributorId":127379,"corporation":false,"usgs":false,"family":"Ormsbee","given":"Patricia C.","affiliations":[{"id":6925,"text":"US Forest Service, retired","active":true,"usgs":false}],"preferred":false,"id":644613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vierling, Lee A.","contributorId":169443,"corporation":false,"usgs":false,"family":"Vierling","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":644612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szewczak, Joseph M.","contributorId":30127,"corporation":false,"usgs":false,"family":"Szewczak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6958,"text":"Department of Biological Sciences, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":644610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vierling, Kerri T.","contributorId":140099,"corporation":false,"usgs":false,"family":"Vierling","given":"Kerri","email":"","middleInitial":"T.","affiliations":[{"id":13384,"text":"Department of Fish and Wildlife Sciences, University of Idaho,","active":true,"usgs":false}],"preferred":false,"id":644611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047852,"text":"70047852 - 2012 - Probabilistic estimates of surface coseismic slip and afterslip for Hayward fault earthquakes","interactions":[],"lastModifiedDate":"2017-11-27T12:58:29","indexId":"70047852","displayToPublicDate":"2012-06-01T07:51:12","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic estimates of surface coseismic slip and afterslip for Hayward fault earthquakes","docAbstract":"We examine the partition of long‐term geologic slip on the Hayward fault into interseismic creep, coseismic slip, and afterslip. Using Monte Carlo simulations, we compute expected coseismic slip and afterslip at three alinement array sites for Hayward fault earthquakes with nominal moment magnitudes ranging from about 6.5 to 7.1. We consider how interseismic creep might affect the coseismic slip distribution as well as the variability in locations of large and small slip patches and the magnitude of an earthquake for a given rupture area. We calibrate the estimates to be consistent with the ratio of interseismic creep rate at the alinement array sites to the geologic slip rate for the Hayward fault. We find that the coseismic slip at the surface is expected to comprise only a small fraction of the long‐term geologic slip. The median values of coseismic slip are less than 0.2 m in nearly all cases as a result of the influence of interseismic creep and afterslip. However, afterslip makes a substantial contribution to the long‐term geologic slip and may be responsible for up to 0.5–1.5 m (median plus one standard deviation [S.D.]) of additional slip following an earthquake rupture. Thus, utility and transportation infrastructure could be severely impacted by afterslip in the hours and days following a large earthquake on the Hayward fault that generated little coseismic slip. Inherent spatial variability in earthquake slip combined with the uncertainty in how interseismic creep affects coseismic slip results in large uncertainties in these slip estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110200","usgsCitation":"Aagaard, B.T., Lienkaemper, J.J., and Schwartz, D.P., 2012, Probabilistic estimates of surface coseismic slip and afterslip for Hayward fault earthquakes: Bulletin of the Seismological Society of America, v. 102, no. 3, p. 961-979, https://doi.org/10.1785/0120110200.","productDescription":"19 p.","startPage":"961","endPage":"979","ipdsId":"IP-032491","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":277068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277063,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110200"}],"country":"United States","state":"California","otherGeospatial":"Hayward Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","volume":"102","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-05","publicationStatus":"PW","scienceBaseUri":"521f1bece4b0f8bf2b076161","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":483150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":483149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":483148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187335,"text":"70187335 - 2012 - Geophysical study of the San Juan Mountains batholith complex, southwestern Colorado","interactions":[],"lastModifiedDate":"2019-12-17T09:16:06","indexId":"70187335","displayToPublicDate":"2012-06-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical study of the San Juan Mountains batholith complex, southwestern Colorado","docAbstract":"<p><span>One of the largest and most pronounced gravity lows over North America is over the rugged San Juan Mountains of southwestern Colorado (USA). The mountain range is coincident with the San Juan volcanic field (SJVF), the largest erosional remnant of a widespread mid-Cenozoic volcanic field that spanned much of the southern Rocky Mountains. A buried, low-density silicic batholith complex related to the volcanic field has been the accepted interpretation of the source of the gravity low since the 1970s. However, this interpretation was based on gravity data processed with standard techniques that are problematic in the SJVF region. The combination of high-relief topography, topography with low densities, and the use of a common reduction density of 2670 kg/m</span><sup>3</sup><span>produces spurious large-amplitude gravity lows that may distort the geophysical signature of deeper features such as a batholith complex. We applied an unconventional processing procedure that uses geologically appropriate densities for the uppermost crust and digital topography to mostly remove the effect of the low-density units that underlie the topography associated with the SJVF. This approach resulted in a gravity map that provides an improved representation of deeper sources, including reducing the amplitude of the anomaly attributed to a batholith complex. We also reinterpreted vintage seismic refraction data that indicate the presence of low-velocity zones under the SJVF. Assuming that the source of the gravity low on the improved gravity anomaly map is the same as the source of the low seismic velocities, integrated modeling corroborates the interpretation of a batholith complex and then defines the dimensions and overall density contrast of the complex. Models show that the thickness of the batholith complex varies laterally to a significant degree, with the greatest thickness (∼20 km) under the western SJVF, and lesser thicknesses (&lt;10 km) under the eastern SJVF. The largest group of nested calderas on the surface of the SJVF, the central caldera cluster, is not correlated with the thickest part of the batholith complex. This result is consistent with petrologic interpretations from recent studies that the batholith complex continued to be modified after cessation of volcanism and therefore is not necessarily representative of synvolcanic magma chambers. The total volume of the batholith complex is estimated to be 82,000–130,000 km</span><sup>3</sup><span>. The formation of such a large felsic batholith complex would inevitably involve production of a considerably greater volume of residuum, which could be present in the lower crust or uppermost mantle. The interpreted vertically averaged density contrast (–60 to –110 kg/m</span><sup>3</sup><span>), density (2590–2640 kg/m</span><sup>3</sup><span>), and seismic expression of the batholith complex are consistent with results of geophysical studies of other large batholiths in the western United States.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00723.1","usgsCitation":"Drenth, B.J., Keller, G.R., and Thompson, R.A., 2012, Geophysical study of the San Juan Mountains batholith complex, southwestern Colorado: Geosphere, v. 8, no. 3, p. 669-684, https://doi.org/10.1130/GES00723.1.","productDescription":"16 p.","startPage":"669","endPage":"684","ipdsId":"IP-026514","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":474496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00723.1","text":"Publisher Index Page"},{"id":340695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.05029296875,\n              36.99377838872517\n            ],\n            [\n              -105.97412109375,\n              36.99377838872517\n            ],\n            [\n              -105.97412109375,\n              38.48369476951686\n            ],\n            [\n              -109.05029296875,\n              38.48369476951686\n            ],\n            [\n              -109.05029296875,\n              36.99377838872517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084936e4b0fc4e448ffda2","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":693511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, G. Randy","contributorId":40602,"corporation":false,"usgs":true,"family":"Keller","given":"G.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":693513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693512,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154958,"text":"70154958 - 2012 - An artificial perch to help Snail Kites handle an exotic Apple Snail","interactions":[],"lastModifiedDate":"2015-07-22T14:32:47","indexId":"70154958","displayToPublicDate":"2012-06-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"An artificial perch to help Snail Kites handle an exotic Apple Snail","docAbstract":"<p><span>In the United States, the Snail Kite (</span><i>Rostrhamus sociabilis plumbeus</i><span>) is a federally endangered species and restricted to the wetlands of south-central Florida where the current population numbers less than 1,500. The Snail Kite is an extreme dietary specialist, previously feeding almost exclusively on one species of snail, the Florida Apple Snail (</span><i>Pomacea paludosa</i><span>). Within the past decade, an exotic species of apple snail, the Island Apple Snail (</span><i>Pomacea insularum</i><span>), has become established on lakes in central Florida. Island Apple Snails are larger than the native Florida Apple Snails, and Snail Kites handle the exotic snails less efficiently. Juvenile Snail Kites, in particular, have lower daily energy balances while feeding on Island Apple Snails. An inexpensive, easy-to-construct platform was developed that would provide Snail Kites with a flat, stable surface on which to extract snails. The platform has the potential to reduce the difficulties Snail Kites experience when handling exotic snails, and may benefit the Snail Kite population as a whole. Initial observations indicate that Snail Kites use the platforms frequently, and snails extracted at the platforms are larger than snails extracted at other perches.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0217","usgsCitation":"Pias, K., Welch, Z.C., and Kitchens, W.M., 2012, An artificial perch to help Snail Kites handle an exotic Apple Snail: Waterbirds, v. 35, no. 2, p. 347-351, https://doi.org/10.1675/063.035.0217.","productDescription":"5 p.","startPage":"347","endPage":"351","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035311","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0bea9e4b09a3b01b5307d","contributors":{"authors":[{"text":"Pias, Kyle E.","contributorId":26535,"corporation":false,"usgs":true,"family":"Pias","given":"Kyle E.","affiliations":[],"preferred":false,"id":565495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Zach C.","contributorId":145856,"corporation":false,"usgs":false,"family":"Welch","given":"Zach","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":565496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":564409,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042474,"text":"70042474 - 2012 - Correlation of clayey gouge in a surface exposure of the San Andreas fault with gouge at depth from SAFOD:  Implications for the role of serpentinite in fault mechanics","interactions":[],"lastModifiedDate":"2013-02-15T19:54:51","indexId":"70042474","displayToPublicDate":"2012-06-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2468,"text":"Journal of Structural Geology","active":true,"publicationSubtype":{"id":10}},"title":"Correlation of clayey gouge in a surface exposure of the San Andreas fault with gouge at depth from SAFOD:  Implications for the role of serpentinite in fault mechanics","docAbstract":"Magnesium-rich clayey gouge similar to that comprising the two actively creeping strands of the San Andreas Fault in drill core from the San Andreas Fault Observatory at Depth (SAFOD) has been identified in a nearby outcrop of serpentinite within the fault zone at Nelson Creek. Each occurrence of the gouge consists of porphyroclasts of serpentinite and sedimentary rocks dispersed in a fine-grained, foliated matrix of Mg-rich smectitic clays. The clay minerals in all three gouges are interpreted to be the product of fluid-assisted, shear-enhanced reactions between quartzofeldspathic wall rocks and serpentinite that was tectonically entrained in the fault from a source in the Coast Range Ophiolite. We infer that the gouge at Nelson Creek connects to one or both of the gouge zones in the SAFOD core, and that similar gouge may occur at depths in between. The special significance of the outcrop is that it preserves the early stages of mineral reactions that are greatly advanced at depth, and it confirms the involvement of serpentinite and the Mg-rich phyllosilicate minerals that replace it in promoting creep along the central San Andreas Fault.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Structural Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jsg.2011.11.014","usgsCitation":"Moore, D.E., and Rymer, M.J., 2012, Correlation of clayey gouge in a surface exposure of the San Andreas fault with gouge at depth from SAFOD:  Implications for the role of serpentinite in fault mechanics: Journal of Structural Geology, v. 38, p. 51-60, https://doi.org/10.1016/j.jsg.2011.11.014.","startPage":"51","endPage":"60","ipdsId":"IP-028485","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267593,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsg.2011.11.014"},{"id":267594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f670de4b03b29402c5db4","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471607,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007497,"text":"70007497 - 2012 - The structure of Mediterranean rocky reef ecosystems across environmental and human gradients, and conservation implications","interactions":[],"lastModifiedDate":"2017-05-10T10:04:57","indexId":"70007497","displayToPublicDate":"2012-05-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The structure of Mediterranean rocky reef ecosystems across environmental and human gradients, and conservation implications","docAbstract":"<p>Historical exploitation of the Mediterranean Sea and the absence of rigorous baselines makes it difficult to evaluate the current health of the marine ecosystems and the efficacy of conservation actions at the ecosystem level. Here we establish the first current baseline and gradient of ecosystem structure of nearshore rocky reefs at the Mediterranean scale. We conducted underwater surveys in 14 marine protected areas and 18 open access sites across the Mediterranean, and across a 31-fold range of fish biomass (from 3.8 to 118 g m-2). Our data showed remarkable variation in the structure of rocky reef ecosystems. Multivariate analysis showed three alternative community states: (1) large fish biomass and reefs dominated by non-canopy algae, (2) lower fish biomass but abundant native algal canopies and suspension feeders, and (3) low fish biomass and extensive barrens, with areas covered by turf algae. Our results suggest that the healthiest shallow rocky reef ecosystems in the Mediterranean have both large fish and algal biomass. Protection level and primary production were the only variables significantly correlated to community biomass structure. Fish biomass was significantly larger in well-enforced no-take marine reserves, but there were no significant differences between multi-use marine protected areas (which allow some fishing) and open access areas at the regional scale. The gradients reported here represent a trajectory of degradation that can be used to assess the health of any similar habitat in the Mediterranean, and to evaluate the efficacy of marine protected areas.</p>","largerWorkTitle":"PLoS ONE","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0032742","usgsCitation":"Sala, E., Ballesteros, E., Dendrinos, P., Di Franco, A., Ferretti, F., Foley, D., Fraschetti, S., Friedlander, A.M., Garrabou, J., Guclusoy, H., Guidetti, P., Halpern, B.S., Hereu, B., Karamanlidis, A.A., Kizilkaya, Z., Macpherson, E., Mangialajo, L., Mariani, S., Micheli, F., Pais, A., Riser, K., Rosenberg, A.A., Sales, M., Selkoe, K.A., Starr, R., Tomas, F., and Zabala, M., 2012, The structure of Mediterranean rocky reef ecosystems across environmental and human gradients, and conservation implications: PLoS ONE, v. 7, no. 2, p. 1-13, https://doi.org/10.1371/journal.pone.0032742.","productDescription":"e32742: 13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033784","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":474504,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0032742","text":"Publisher Index Page"},{"id":256894,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256892,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0032742","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Mediterranean Sea","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-29","publicationStatus":"PW","scienceBaseUri":"505bb098e4b08c986b324f67","contributors":{"authors":[{"text":"Sala, Enric","contributorId":38437,"corporation":false,"usgs":true,"family":"Sala","given":"Enric","email":"","affiliations":[],"preferred":false,"id":356512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballesteros, Enric","contributorId":56113,"corporation":false,"usgs":true,"family":"Ballesteros","given":"Enric","email":"","affiliations":[],"preferred":false,"id":356519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dendrinos, Panagiotis","contributorId":63278,"corporation":false,"usgs":true,"family":"Dendrinos","given":"Panagiotis","email":"","affiliations":[],"preferred":false,"id":356523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Di Franco, Antonio","contributorId":50055,"corporation":false,"usgs":true,"family":"Di Franco","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":356515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferretti, Francesco","contributorId":55294,"corporation":false,"usgs":true,"family":"Ferretti","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":356518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, David","contributorId":49244,"corporation":false,"usgs":true,"family":"Foley","given":"David","email":"","affiliations":[],"preferred":false,"id":356514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fraschetti, Simonetta","contributorId":16720,"corporation":false,"usgs":true,"family":"Fraschetti","given":"Simonetta","email":"","affiliations":[],"preferred":false,"id":356507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":4296,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":356503,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Garrabou, Joaquim","contributorId":100255,"corporation":false,"usgs":true,"family":"Garrabou","given":"Joaquim","email":"","affiliations":[],"preferred":false,"id":356526,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Guclusoy, Harun","contributorId":18637,"corporation":false,"usgs":true,"family":"Guclusoy","given":"Harun","email":"","affiliations":[],"preferred":false,"id":356508,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Guidetti, Paolo","contributorId":51164,"corporation":false,"usgs":true,"family":"Guidetti","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":356516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Halpern, Benjamin S.","contributorId":86649,"corporation":false,"usgs":true,"family":"Halpern","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356525,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hereu, Bernat","contributorId":56524,"corporation":false,"usgs":true,"family":"Hereu","given":"Bernat","email":"","affiliations":[],"preferred":false,"id":356520,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Karamanlidis, Alexandros A.","contributorId":83402,"corporation":false,"usgs":true,"family":"Karamanlidis","given":"Alexandros","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356524,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kizilkaya, Zafer","contributorId":106763,"corporation":false,"usgs":true,"family":"Kizilkaya","given":"Zafer","email":"","affiliations":[],"preferred":false,"id":356529,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Macpherson, Enrique","contributorId":104351,"corporation":false,"usgs":true,"family":"Macpherson","given":"Enrique","email":"","affiliations":[],"preferred":false,"id":356527,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mangialajo, Luisa","contributorId":53665,"corporation":false,"usgs":true,"family":"Mangialajo","given":"Luisa","email":"","affiliations":[],"preferred":false,"id":356517,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mariani, Simone","contributorId":16283,"corporation":false,"usgs":true,"family":"Mariani","given":"Simone","email":"","affiliations":[],"preferred":false,"id":356506,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Micheli, Fiorenza","contributorId":6731,"corporation":false,"usgs":true,"family":"Micheli","given":"Fiorenza","affiliations":[],"preferred":false,"id":356504,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pais, Antonio","contributorId":62475,"corporation":false,"usgs":true,"family":"Pais","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":356522,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Riser, Kristin","contributorId":23399,"corporation":false,"usgs":true,"family":"Riser","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":356510,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rosenberg, Andrew A.","contributorId":104780,"corporation":false,"usgs":true,"family":"Rosenberg","given":"Andrew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356528,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sales, Marta","contributorId":14701,"corporation":false,"usgs":true,"family":"Sales","given":"Marta","email":"","affiliations":[],"preferred":false,"id":356505,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Selkoe, Kimberly A.","contributorId":48835,"corporation":false,"usgs":true,"family":"Selkoe","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":356513,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Starr, Rick","contributorId":27867,"corporation":false,"usgs":true,"family":"Starr","given":"Rick","email":"","affiliations":[],"preferred":false,"id":356511,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Tomas, Fiona","contributorId":20617,"corporation":false,"usgs":true,"family":"Tomas","given":"Fiona","email":"","affiliations":[],"preferred":false,"id":356509,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zabala, Mikel","contributorId":57733,"corporation":false,"usgs":true,"family":"Zabala","given":"Mikel","email":"","affiliations":[],"preferred":false,"id":356521,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70045158,"text":"70045158 - 2012 - Sunspot random walk and 22-year variation","interactions":[],"lastModifiedDate":"2013-05-14T12:54:49","indexId":"70045158","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sunspot random walk and 22-year variation","docAbstract":"We examine two stochastic models for consistency with observed long-term secular trends in sunspot number and a faint, but semi-persistent, 22-yr signal: (1) a null hypothesis, a simple one-parameter random-walk model of sunspot-number cycle-to-cycle change, and, (2) an alternative hypothesis, a two-parameter random-walk model with an imposed 22-yr alternating amplitude. The observed secular trend in sunspots, seen from solar cycle 5 to 23, would not be an unlikely result of the accumulation of multiple random-walk steps. Statistical tests show that a 22-yr signal can be resolved in historical sunspot data; that is, the probability is low that it would be realized from random data. On the other hand, the 22-yr signal has a small amplitude compared to random variation, and so it has a relatively small effect on sunspot predictions. Many published predictions for cycle 24 sunspots fall within the dispersion of previous cycle-to-cycle sunspot differences. The probability is low that the Sun will, with the accumulation of random steps over the next few cycles, walk down to a Dalton-like minimum. Our models support published interpretations of sunspot secular variation and 22-yr variation resulting from cycle-to-cycle accumulation of dynamo-generated magnetic energy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2012GL051818","usgsCitation":"Love, J.J., and Rigler, E.J., 2012, Sunspot random walk and 22-year variation: Geophysical Research Letters, v. 39, no. 10, L10103; 6 p., https://doi.org/10.1029/2012GL051818.","productDescription":"L10103; 6 p.","ipdsId":"IP-037892","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl051818","text":"Publisher Index Page"},{"id":272244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272243,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL051818"}],"volume":"39","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"53cd755be4b0b2908510a333","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, E. Joshua","contributorId":64533,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":476966,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007224,"text":"70007224 - 2012 - Regression models for estimating concentrations of atrazine plus deethylatrazine in shallow groundwater in agricultural areas of the United States","interactions":[],"lastModifiedDate":"2016-05-30T13:34:19","indexId":"70007224","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Regression models for estimating concentrations of atrazine plus deethylatrazine in shallow groundwater in agricultural areas of the United States","docAbstract":"<p>Tobit regression models were developed to predict the summed concentration of atrazine [6-chloro-<i>N</i>-ethyl-<i>N'</i>-(1-methylethyl)-1,3,5-triazine-2,4-diamine] and its degradate deethylatrazine [6-chloro-<i>N</i>-(1-methylethyl)-1,3,5,-triazine-2,4-diamine] (DEA) in shallow groundwater underlying agricultural settings across the conterminous United States. The models were developed from atrazine and DEA concentrations in samples from 1298 wells and explanatory variables that represent the source of atrazine and various aspects of the transport and fate of atrazine and DEA in the subsurface. One advantage of these newly developed models over previous national regression models is that they predict concentrations (rather than detection frequency), which can be compared with water quality benchmarks. Model results indicate that variability in the concentration of atrazine residues (atrazine plus DEA) in groundwater underlying agricultural areas is more strongly controlled by the history of atrazine use in relation to the timing of recharge (groundwater age) than by processes that control the dispersion, adsorption, or degradation of these compounds in the saturated zone. Current (1990s) atrazine use was found to be a weak explanatory variable, perhaps because it does not represent the use of atrazine at the time of recharge of the sampled groundwater and because the likelihood that these compounds will reach the water table is affected by other factors operating within the unsaturated zone, such as soil characteristics, artificial drainage, and water movement. Results show that only about 5% of agricultural areas have greater than a 10% probability of exceeding the USEPA maximum contaminant level of 3.0 &mu;g L<sup>-1</sup>. These models are not developed for regulatory purposes but rather can be used to (i) identify areas of potential concern, (ii) provide conservative estimates of the concentrations of atrazine residues in deeper potential drinking water supplies, and (iii) set priorities among areas for future groundwater monitoring.</p>","language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2011.0200","usgsCitation":"Stackelberg, P.E., Barbash, J.E., Gilliom, R.J., Stone, W.W., and Wolock, D.M., 2012, Regression models for estimating concentrations of atrazine plus deethylatrazine in shallow groundwater in agricultural areas of the United States: Journal of Environmental Quality, v. 41, no. 2, p. 479-494, https://doi.org/10.2134/jeq2011.0200.","productDescription":"16 p.","startPage":"479","endPage":"494","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":254754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254743,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2011.0200","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"41","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a5cde4b0e8fec6cdc002","contributors":{"authors":[{"text":"Stackelberg, Paul E. 0000-0002-1818-355X pestack@usgs.gov","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":1069,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","email":"pestack@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbash, Jack E. 0000-0001-9854-8880 jbarbash@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-8880","contributorId":1003,"corporation":false,"usgs":true,"family":"Barbash","given":"Jack","email":"jbarbash@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":356136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":356137,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038322,"text":"70038322 - 2012 - Control of reed canarygrass promotes wetland herb and tree seedling establishment in an upper Mississippi River Floodplain forest","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70038322","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Control of reed canarygrass promotes wetland herb and tree seedling establishment in an upper Mississippi River Floodplain forest","docAbstract":"Phalaris arundinacea (reed canarygrass) is recognized as a problematic invader of North American marshes, decreasing biodiversity and persisting in the face of control efforts. Less is known about its ecology or management in forested wetlands, providing an opportunity to apply information about factors critical to an invader's control in one wetland type to another. In a potted plant experiment and in the field, we documented strong competitive effects of reed canarygrass on the establishment and early growth of tree seedlings. In the field, we demonstrated the effectiveness of a novel restoration strategy, combining site scarification with late fall applications of pre-emergent herbicides. Treatments delayed reed canarygrass emergence the following spring, creating a window of opportunity for the early growth of native plants in the absence of competition from the grass. They also allowed for follow-up herbicide treatments during the growing season. We documented greater establishment of wetland herbs and tree seedlings in treated areas. Data from small exclosures suggest, however, that deer browsing can limit tree seedling height growth in floodplain restorations. Slower tree growth will delay canopy closure, potentially allowing reed canarygrass re-invasion. Thus, it may be necessary to protect tree seedlings from herbivory to assure forest regeneration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-012-0289-5","usgsCitation":"Thomsen, M., Brownell, K., Groshek, M., and Kirsch, E., 2012, Control of reed canarygrass promotes wetland herb and tree seedling establishment in an upper Mississippi River Floodplain forest: Wetlands, v. 32, no. 3, p. 543-555, https://doi.org/10.1007/s13157-012-0289-5.","productDescription":"13 p.","startPage":"543","endPage":"555","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":254749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254739,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0289-5","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","county":"La Crosse","city":"La Crosse","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-03-08","publicationStatus":"PW","scienceBaseUri":"5059fb44e4b0c8380cd4ddb5","contributors":{"authors":[{"text":"Thomsen, Meredith","contributorId":82956,"corporation":false,"usgs":true,"family":"Thomsen","given":"Meredith","affiliations":[],"preferred":false,"id":463881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownell, Kurt","contributorId":64927,"corporation":false,"usgs":true,"family":"Brownell","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":463880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groshek, Matthew","contributorId":106735,"corporation":false,"usgs":true,"family":"Groshek","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":463882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirsch, Eileen","contributorId":43205,"corporation":false,"usgs":true,"family":"Kirsch","given":"Eileen","affiliations":[],"preferred":false,"id":463879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009639,"text":"70009639 - 2012 - Evidence for population bottlenecks and subtle genetic structure in the yellow rail","interactions":[],"lastModifiedDate":"2012-05-12T01:01:38","indexId":"70009639","displayToPublicDate":"2012-05-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for population bottlenecks and subtle genetic structure in the yellow rail","docAbstract":"The Yellow Rail (Coturnicops noveboracencis) is among the most enigmatic and least studied North American birds. Nesting exclusively in marshes and wetlands, it breeds largely east of the Rocky Mountains in the northern United States and Canada, but there is an isolated population in southern Oregon once believed extirpated. The degree of connectivity of the Oregon population with the main population is unknown. We used mitochondrial DNA sequences (mtDNA) and six microsatellite loci to characterize the Yellow Rail's genetic structure and diversity patterns in six areas. Our mtDNA-based analyses of genetic structure identified significant population differentiation, but pairwise comparison of regions identified no clear geographic trends. In contrast, microsatellites suggested subtle genetic structure differentiating the Oregon population from those in the five regions sampled in the Yellow Rail's main breeding range. The genetic diversity of the Oregon population was also the lowest of the six regions sampled, and Oregon was one of three regions that demonstrated evidence of recent population bottlenecks. Factors that produced population reductions may include loss of wetlands to development and agricultural conversion, drought, and wildfire. At this time, we are unable to determine if the high percentage (50%) of populations having experienced bottlenecks is representative of the Yellow Rail's entire range. Further genetic data from additional breeding populations will be required for this issue to be addressed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2012.110055","usgsCitation":"Popper, K.J., Miller, L.F., Green, M., Haig, S.M., and Mullins, T.D., 2012, Evidence for population bottlenecks and subtle genetic structure in the yellow rail: The Condor, v. 114, no. 1, p. 100-112, https://doi.org/10.1525/cond.2012.110055.","productDescription":"13 p.","startPage":"100","endPage":"112","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474508,"rank":10001,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.110055","text":"Publisher Index Page"},{"id":438817,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBUXFT","text":"USGS data release","linkHelpText":"Nuclear microsatellite genotypes of six populations of yellow rail (Coturnicops noveboracensis) sampled 2005-2008"},{"id":254744,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.110055","linkFileType":{"id":5,"text":"html"}},{"id":254750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"114","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d4de4b0c8380cd52f2d","contributors":{"authors":[{"text":"Popper, Kenneth J.","contributorId":56114,"corporation":false,"usgs":true,"family":"Popper","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Leonard F.","contributorId":15898,"corporation":false,"usgs":true,"family":"Miller","given":"Leonard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Michael","contributorId":71066,"corporation":false,"usgs":true,"family":"Green","given":"Michael","affiliations":[],"preferred":false,"id":356804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":356800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullins, Thomas D. 0000-0001-8948-9604 tom_mullins@usgs.gov","orcid":"https://orcid.org/0000-0001-8948-9604","contributorId":3615,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas","email":"tom_mullins@usgs.gov","middleInitial":"D.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":356801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038283,"text":"70038283 - 2012 - A framework for inference about carnivore density from unstructured spatial sampling of scat using detector dogs","interactions":[],"lastModifiedDate":"2012-05-09T01:01:39","indexId":"70038283","displayToPublicDate":"2012-05-02T16:52:00","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":"A framework for inference about carnivore density from unstructured spatial sampling of scat using detector dogs","docAbstract":"Wildlife management often hinges upon an accurate assessment of population density. Although undeniably useful, many of the traditional approaches to density estimation such as visual counts, livetrapping, or mark&ndash;recapture suffer from a suite of methodological and analytical weaknesses. Rare, secretive, or highly mobile species exacerbate these problems through the reality of small sample sizes and movement on and off study sites. In response to these difficulties, there is growing interest in the use of non-invasive survey techniques, which provide the opportunity to collect larger samples with minimal increases in effort, as well as the application of analytical frameworks that are not reliant on large sample size arguments. One promising survey technique, the use of scat detecting dogs, offers a greatly enhanced probability of detection while at the same time generating new difficulties with respect to non-standard survey routes, variable search intensity, and the lack of a fixed survey point for characterizing non-detection. In order to account for these issues, we modified an existing spatially explicit, capture&ndash;recapture model for camera trap data to account for variable search intensity and the lack of fixed, georeferenced trap locations. We applied this modified model to a fisher (<i>Martes pennanti</i>) dataset from the Sierra National Forest, California, and compared the results (12.3 fishers/100 km<sup>2</sup>) to more traditional density estimates. We then evaluated model performance using simulations at 3 levels of population density. Simulation results indicated that estimates based on the posterior mode were relatively unbiased. We believe that this approach provides a flexible analytical framework for reconciling the inconsistencies between detector dog survey data and density estimation procedures.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/jwmg.317","usgsCitation":"Thompson, C.M., Royle, J., and Garner, J., 2012, A framework for inference about carnivore density from unstructured spatial sampling of scat using detector dogs: Journal of Wildlife Management, v. 76, no. 4, p. 863-871, https://doi.org/10.1002/jwmg.317.","productDescription":"9 p.","startPage":"863","endPage":"871","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254706,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254704,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/jwmg.317","linkFileType":{"id":5,"text":"html"}}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-12-29","publicationStatus":"PW","scienceBaseUri":"5059e3e3e4b0c8380cd46295","contributors":{"authors":[{"text":"Thompson, Craig M.","contributorId":57303,"corporation":false,"usgs":true,"family":"Thompson","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garner, James D.","contributorId":62060,"corporation":false,"usgs":true,"family":"Garner","given":"James D.","affiliations":[],"preferred":false,"id":463797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038282,"text":"70038282 - 2012 - Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.)","interactions":[],"lastModifiedDate":"2012-05-08T01:01:39","indexId":"70038282","displayToPublicDate":"2012-05-02T15:30:00","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":"Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.)","docAbstract":"Open marsh water management (OMWM) of salt marshes modifies grid-ditched marshes by creating permanent ponds and radial ditches in the high marsh that reduce mosquito production and enhance fish predation on mosquitoes. It is preferable to using pesticides to control salt marsh mosquito production and is commonly presented as a restoration or habitat enhancement tool for grid-ditched salt marshes. Monitoring of nekton, vegetation, groundwater level, soil salinity, and bird communities before and after OMWM at 11 (six treatment and five reference sites) Atlantic Coast (U.S.A.) salt marshes revealed high variability within and among differing OMWM techniques (ditch-plugging, reengineering of sill ditches, and the creation of ponds and radial ditches). At three marshes, the dominant nekton shifted from fish (primarily Fundulidae species) to shrimp (Palaemonidae species) after manipulations and shrimp density increased at other treatment sites. Vegetation changed at only two sites, one with construction equipment impacts (not desired) and one with a decrease in woody vegetation along existing ditches (desired). One marsh had lower groundwater level and soil salinity, and bird use, although variable, was often unrelated to OMWM manipulations. The potential effects of OMWM manipulations on non-target salt marsh resources need to be carefully considered by resource planners when managing marshes for mosquito control.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Ecological Restoration International","publisherLocation":"Washington D.C.","doi":"10.1111/j.1526-100X.2010.00767.x","usgsCitation":"James-Pirri, M., Erwin, R.M., Prosser, D.J., and Taylor, J.D., 2012, Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.): Restoration Ecology, v. 20, no. 3, p. 395-404, https://doi.org/10.1111/j.1526-100X.2010.00767.x.","productDescription":"10 p.","startPage":"395","endPage":"404","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474513,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1526-100x.2010.00767.x","text":"Publisher Index Page"},{"id":254697,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2010.00767.x","linkFileType":{"id":5,"text":"html"}},{"id":254698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coast","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-16","publicationStatus":"PW","scienceBaseUri":"505aaaa9e4b0c8380cd8646b","contributors":{"authors":[{"text":"James-Pirri, Mary-Jane","contributorId":16147,"corporation":false,"usgs":true,"family":"James-Pirri","given":"Mary-Jane","email":"","affiliations":[],"preferred":false,"id":463793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":57125,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":463795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Janith D.","contributorId":36789,"corporation":false,"usgs":true,"family":"Taylor","given":"Janith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":463794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70095249,"text":"70095249 - 2012 - Delta Chromium-53/52 isotopic composition of native and contaminated groundwater, Mojave Desert, USA","interactions":[],"lastModifiedDate":"2014-03-04T10:02:13","indexId":"70095249","displayToPublicDate":"2012-05-01T09:55:41","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":"Delta Chromium-53/52 isotopic composition of native and contaminated groundwater, Mojave Desert, USA","docAbstract":"Chromium(VI) concentrations in groundwater sampled from three contaminant plumes in aquifers in the Mojave Desert near Hinkley, Topock and El Mirage, California, USA, were as high as 2600, 5800 and 330 μg/L, respectively. δ<sup>53/52</sup>Cr compositions from more than 50 samples collected within these plumes ranged from near 0‰ to almost 4‰ near the plume margins. Assuming only reductive fractionation of Cr(VI) to Cr(III) within the plume, apparent fractionation factors for δ<sup>53/52</sup>Cr isotopes ranged from ε<sub>app</sub> = 0.3 to 0.4 within the Hinkley and Topock plumes, respectively, and only the El Mirage plume had a fractionation factor similar to the laboratory derived value of ε = 3.5. One possible explanation for the difference between field and laboratory fractionation factors at the Hinkley and Topock sites is localized reductive fractionation of Cr(VI) to Cr(III), with subsequent advective mixing of native and contaminated water near the plume margin. Chromium(VI) concentrations and δ<sup>53/52</sup>Cr isotopic compositions did not uniquely define the source of Cr near the plume margin, or the extent of reductive fractionation within the plume. However, Cr(VI) and δ<sup>53/52</sup>Cr data contribute to understanding of the interaction between reductive and mixing processes that occur within and near the margins of Cr contamination plumes. Reductive fractionation of Cr(VI) predominates in plumes having higher ε<sub>app</sub>, these plumes may be suitable for monitored natural attenuation. In contrast, advective mixing predominates in plumes having lower ε<sub>app</sub>, the highly dispersed margins of these plumes may be difficult to define and manage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2011.12.019","usgsCitation":"Izbicki, J., Bullen, T.D., Martin, P., and Schroth, B., 2012, Delta Chromium-53/52 isotopic composition of native and contaminated groundwater, Mojave Desert, USA: Applied Geochemistry, v. 27, no. 4, p. 841-853, https://doi.org/10.1016/j.apgeochem.2011.12.019.","productDescription":"13 p.","startPage":"841","endPage":"853","numberOfPages":"13","ipdsId":"IP-014704","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":283207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282976,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.12.019"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.0,32.3 ], [ -118.0,36.0 ], [ -114.0,36.0 ], [ -114.0,32.3 ], [ -118.0,32.3 ] ] ] } } ] }","volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd540ee4b0b290850f583b","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":491155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491156,"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":491154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schroth, Brian","contributorId":60953,"corporation":false,"usgs":true,"family":"Schroth","given":"Brian","email":"","affiliations":[],"preferred":false,"id":491157,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043559,"text":"70043559 - 2012 - Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River","interactions":[],"lastModifiedDate":"2017-07-24T12:57:37","indexId":"70043559","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River","docAbstract":"1. To manage the environmental flow requirements of sedentary taxa, such as mussels and aquatic insects with fixed retreats, we need a measure of habitat availability over a variety of flows (i.e. a measure of persistent habitat). Habitat suitability measures in current environmental flow assessments are measured on a ‘flow by flow’ basis and thus are not appropriate for these taxa. Here, we present a novel measure of persistent habitat suitability for the dwarf wedgemussel (Alasmidonta heterodon), listed as federally endangered in the U.S.A., in three reaches of the Delaware River.\n\n2. We used a two-dimensional hydrodynamic model to quantify suitable habitat over a range of flows based on modelled depth, velocity, Froude number, shear velocity and shear stress at three scales (individual mussel, mussel bed and reach). Baseline potentially persistent habitat was quantified as the sum of pixels that met all thresholds identified for these variables for flows ≥40 m3 s−1, and we calculated the loss of persistently suitable habitat by sequentially summing suitable habitat estimates at lower flows. We estimated the proportion of mussel beds exposed at each flow and the amount of change in the size of the mussel bed for one reach.\n\n3. For two reaches, mussel beds occupied areas with lower velocity, shear velocity, shear stress and Froude number than the reach average at all flows. In the third reach, this was true only at higher flows. Together, these results indicate that beds were possible refuge areas from the effects of these hydrological parameters. Two reaches showed an increase in the amount of exposed mussel beds with decreasing flow.\n\n4. Baseline potentially persistent habitat was less than half the areal extent of potentially suitable habitat, and it decreased with decreasing flow. Actually identified beds and modelled persistent habitat showed good spatial overlap, but identified beds occupied only a portion of the total modelled persistent habitat, indicating either that additional suitable habitat is available or the need to improve habitat criteria. At one site, persistent beds (beds where mussels were routinely collected) were located at sites with stable substratum, whereas marginal beds (beds where mussels were infrequently collected or that were lost following a large flood event) were located in scoured areas.\n\n5. Taken together, these model results support a multifaceted approach, which incorporates the effects of low and high flow stressors, to quantify habitat suitability for mussels and other sedentary taxa. Models of persistent habitat can provide a more holistic environmental flow assessment of rivers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02788.x","usgsCitation":"Maloney, K.O., Lellis, W.A., Bennett, R., and Waddle, T.J., 2012, Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River: Freshwater Biology, v. 57, no. 6, p. 1315-1327, https://doi.org/10.1111/j.1365-2427.2012.02788.x.","startPage":"1315","endPage":"1327","ipdsId":"IP-033815","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":270526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270525,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2012.02788.x"}],"country":"United States","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-04-10","publicationStatus":"PW","scienceBaseUri":"515d4f67e4b0803bd2eec530","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":473836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Randy M.","contributorId":7157,"corporation":false,"usgs":true,"family":"Bennett","given":"Randy M.","affiliations":[],"preferred":false,"id":473838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, Terry J.","contributorId":43430,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":473839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038076,"text":"70038076 - 2012 - Three pathogens in sympatric populations of pumas, bobcats, and domestic cats: Implications for infections disease transmission","interactions":[],"lastModifiedDate":"2017-07-24T12:12:57","indexId":"70038076","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Three pathogens in sympatric populations of pumas, bobcats, and domestic cats: Implications for infections disease transmission","docAbstract":"<p><span>Anthropogenic landscape change can lead to increased opportunities for pathogen transmission between domestic and non-domestic animals. Pumas, bobcats, and domestic cats are sympatric in many areas of North America and share many of the same pathogens, some of which are zoonotic. We analyzed bobcat, puma, and feral domestic cat samples collected from targeted geographic areas. We examined exposure to three pathogens that are taxonomically diverse (bacterial, protozoal, viral), that incorporate multiple transmission strategies (vector-borne, environmental exposure/ingestion, and direct contact), and that vary in species-specificity.&nbsp;</span><i>Bartonella</i><span><span>&nbsp;</span>spp., Feline Immunodeficiency Virus (FIV), and<span>&nbsp;</span></span><i>Toxoplasma gondii</i><span><span>&nbsp;</span>IgG were detected in all three species with mean respective prevalence as follows: puma 16%, 41% and 75%; bobcat 31%, 22% and 43%; domestic cat 45%, 10% and 1%.<span>&nbsp;</span></span><i>Bartonella</i><span><span>&nbsp;</span>spp. were highly prevalent among domestic cats in Southern California compared to other cohort groups. Feline Immunodeficiency Virus exposure was primarily associated with species and age, and was not influenced by geographic location. Pumas were more likely to be infected with FIV than bobcats, with domestic cats having the lowest infection rate.<span>&nbsp;</span></span><i>Toxoplasma gondii s</i><span>eroprevalence was high in both pumas and bobcats across all sites; in contrast, few domestic cats were seropositive, despite the fact that feral, free ranging domestic cats were targeted in this study. Interestingly, a directly transmitted species-specific disease (FIV) was not associated with geographic location, while exposure to indirectly transmitted diseases – vector-borne for<span>&nbsp;</span></span><i>Bartonella</i><span><span>&nbsp;</span>spp. and ingestion of oocysts via infected prey or environmental exposure for<span>&nbsp;</span></span><i>T. gondii</i><span><span>&nbsp;</span>– varied significantly by site. Pathogens transmitted by direct contact may be more dependent upon individual behaviors and intra-specific encounters. Future studies will integrate host density, as well as landscape features, to better understand the mechanisms driving disease exposure and to predict zones of cross-species pathogen transmission among wild and domestic felids.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0031403","usgsCitation":"Bevins, S.N., Carver, S., Boydston, E.E., Lyren, L.M., Alldredge, M., Logan, K.A., Riley, S.P., Fisher, R.N., Vickers, T., Boyce, W., Salman, M., Lappin, M.R., Crooks, K.R., and VandeWoude, S., 2012, Three pathogens in sympatric populations of pumas, bobcats, and domestic cats: Implications for infections disease transmission: PLoS ONE, v. 7, no. 2, e314033: 10 p., https://doi.org/10.1371/journal.pone.0031403.","productDescription":"e314033: 10 p.","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474517,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0031403","text":"Publisher Index Page"},{"id":254645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254642,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0031403","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-08","publicationStatus":"PW","scienceBaseUri":"505bb314e4b08c986b325b7e","contributors":{"authors":[{"text":"Bevins, Sarah N.","contributorId":105571,"corporation":false,"usgs":true,"family":"Bevins","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":463409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carver, Scott","contributorId":30857,"corporation":false,"usgs":true,"family":"Carver","given":"Scott","affiliations":[],"preferred":false,"id":463402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alldredge, Mat","contributorId":10650,"corporation":false,"usgs":true,"family":"Alldredge","given":"Mat","affiliations":[],"preferred":false,"id":463400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Logan, Kenneth A.","contributorId":10261,"corporation":false,"usgs":true,"family":"Logan","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riley, Seth P.D.","contributorId":83246,"corporation":false,"usgs":true,"family":"Riley","given":"Seth","email":"","middleInitial":"P.D.","affiliations":[],"preferred":false,"id":463407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463396,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. Winston","contributorId":52822,"corporation":false,"usgs":true,"family":"Vickers","given":"T. Winston","affiliations":[],"preferred":false,"id":463405,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boyce, Walter","contributorId":62444,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","affiliations":[],"preferred":false,"id":463406,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Salman, Mo","contributorId":30296,"corporation":false,"usgs":true,"family":"Salman","given":"Mo","affiliations":[],"preferred":false,"id":463401,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lappin, Michael R.","contributorId":93312,"corporation":false,"usgs":true,"family":"Lappin","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463408,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":463404,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"VandeWoude, Sue","contributorId":44771,"corporation":false,"usgs":true,"family":"VandeWoude","given":"Sue","affiliations":[],"preferred":false,"id":463403,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70038126,"text":"fs20123047 - 2012 - USGS Hydro-Climatic Data Network 2009 (HCDN-2009)","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20123047","displayToPublicDate":"2012-04-18T10:17:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3047","title":"USGS Hydro-Climatic Data Network 2009 (HCDN-2009)","docAbstract":"<p>The U.S. Geological Survey's (USGS) Hydro-Climatic Data Network (HCDN) is a subset of all USGS streamgages for which the streamflow primarily reflects prevailing meteorological conditions for specified years. These stations were screened to exclude sites where human activities, such as artificial diversions, storage, and other activities in the drainage basin or the stream channel, affect the natural flow of the watercourse. In addition, sites were included in the network because their record length was sufficiently long for analysis of patterns in streamflow over time. The purpose of the network is to provide a streamflow dataset suitable for analyzing hydrologic variations and trends in a climatic context. When originally published, the network was composed of 1,659 stations (Slack and Landwehr, 1992) for which the years of primarily \"natural\" flow were identified. Since then data from the HCDN have been widely used and cited in climate-related hydrologic investigations of the United States. The network has also served as a model for establishing climate-sensitive streamgage networks in other countries around the world.</p>\n<p>After nearly two decades of use without undergoing a systematic revalidation, questions have arisen as to whether many of the original stations still maintain their climate-sensitive status or even remain operational, as some are known to have closed. Some watersheds had been altered to the point that stations no longer meet the minimal disturbance criteria set forth in the original HCDN report. In addition, some sites that did not qualify as HCDN sites in 1988 (the last year of data evaluation) because their records were too short now have sufficiently long streamflow records for climate-sensitivity studies. Accordingly, a review of the existing network was initiated in 2009 in order to drop old stations and add new ones as appropriate.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123047","usgsCitation":"Lins, H.F., 2012, USGS Hydro-Climatic Data Network 2009 (HCDN-2009): U.S. Geological Survey Fact Sheet 2012-3047, 4 p., https://doi.org/10.3133/fs20123047.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"links":[{"id":254553,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3047.gif"},{"id":254550,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3047/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbb95e4b08c986b3286f0","contributors":{"authors":[{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":463465,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038103,"text":"ofr20121055 - 2012 - Protocols for collection of streamflow, water-quality, streambed-sediment, periphyton, macroinvertebrate, fish, and habitat data to describe stream quality for the Hydrobiological Monitoring Program, Equus Beds Aquifer Storage and Recovery Program, city of Wichita, Kansas","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"ofr20121055","displayToPublicDate":"2012-04-17T00:00:00","publicationYear":"2012","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":"2012-1055","title":"Protocols for collection of streamflow, water-quality, streambed-sediment, periphyton, macroinvertebrate, fish, and habitat data to describe stream quality for the Hydrobiological Monitoring Program, Equus Beds Aquifer Storage and Recovery Program, city of Wichita, Kansas","docAbstract":"The city of Wichita, Kansas uses the Equus Beds aquifer, one of two sources, for municipal water supply. To meet future water needs, plans for artificial recharge of the aquifer have been implemented in several phases. Phase I of the Equus Beds Aquifer Storage and Recovery (ASR) Program began with injection of water from the Little Arkansas River into the aquifer for storage and subsequent recovery in 2006. Construction of a river intake structure and surface-water treatment plant began as implementation of Phase II of the Equus Beds ASR Program in 2010. An important aspect of the ASR Program is the monitoring of water quality and the effects of recharge activities on stream conditions. Physical, chemical, and biological data provide the basis for an integrated assessment of stream quality. This report describes protocols for collecting streamflow, water-quality, streambed-sediment, periphyton, macroinvertebrate, fish, and habitat data as part of the city of Wichita's hydrobiological monitoring program (HBMP). Following consistent and reliable methods for data collection and processing is imperative for the long-term success of the monitoring program.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121055","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Stone, M.L., Rasmussen, T.J., Bennett, T.J., Poulton, B.C., and Ziegler, A., 2012, Protocols for collection of streamflow, water-quality, streambed-sediment, periphyton, macroinvertebrate, fish, and habitat data to describe stream quality for the Hydrobiological Monitoring Program, Equus Beds Aquifer Storage and Recovery Program, city of Wichita, Kansas: U.S. Geological Survey Open-File Report 2012-1055, viii, 39 p.; Appendices, https://doi.org/10.3133/ofr20121055.","productDescription":"viii, 39 p.; Appendices","startPage":"i","endPage":"55","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":254548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1055.gif"},{"id":254547,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1055/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas","city":"Wichita","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f85e4b0c8380cd7f7f8","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":463450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":463448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Trudy J. trudyben@usgs.gov","contributorId":4218,"corporation":false,"usgs":true,"family":"Bennett","given":"Trudy","email":"trudyben@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":463449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":463447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":463446,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038010,"text":"70038010 - 2012 - Evaluating release alternatives for a long-lived bird species under uncertainty about long-term demographic rates","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"70038010","displayToPublicDate":"2012-04-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating release alternatives for a long-lived bird species under uncertainty about long-term demographic rates","docAbstract":"The release of animals to reestablish an extirpated population is a decision problem that is often attended by considerable uncertainty about the probability of success. Annual releases of captive-reared juvenile Whooping Cranes (Grus americana) were begun in 1993 in central Florida, USA, to establish a breeding, non-migratory population. Over a 12-year period, 286 birds were released, but by 2004, the introduced flock had produced only four wild-fledged birds. Consequently, releases were halted over managers' concerns about the performance of the released flock and uncertainty about the efficacy of further releases. We used data on marked, released birds to develop predictive models for addressing whether releases should be resumed, and if so, under what schedule. To examine the outcome of different release scenarios, we simulated the survival and productivity of individual female birds under a baseline model that recognized age and breeding-class structure and which incorporated empirically estimated stochastic elements. As data on wild-fledged birds from captive-reared parents were sparse, a key uncertainty that confronts release decision-making is whether captive-reared birds and their offspring share the same vital rates. Therefore, we used data on the only population of wild Whooping Cranes in existence to construct two alternatives to the baseline model. The probability of population persistence was highly sensitive to the choice of these three models. Under the baseline model, extirpation of the population was nearly certain under any scenario of resumed releases. In contrast, the model based on estimates from wild birds projected a high probability of persistence under any release scenario, including cessation of releases. Therefore, belief in either of these models suggests that further releases are an ineffective use of resources. In the third model, which simulated a population Allee effect, population persistence was sensitive to the release decision: high persistence probability was achieved only through the release of more birds, whereas extirpation was highly probable with cessation of releases. Despite substantial investment of time and effort in the release program, evidence collected to date does not favor one model over another; therefore, any decision about further releases must be made under considerable biological uncertainty. However, given an assignment of credibility weight to each model, a best, informed decision about releases can be made under uncertainty. Furthermore, if managers can periodically revisit the release decision and collect monitoring data to further inform the models, then managers have a basis for confronting uncertainty and adaptively managing releases through time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10336-010-0592-y","usgsCitation":"Moore, C., Converse, S., Folk, M.J., Runge, M.C., and Nesbitt, S.A., 2012, Evaluating release alternatives for a long-lived bird species under uncertainty about long-term demographic rates: Journal of Ornithology, v. 152, no. supplement 2, p. 339-353, https://doi.org/10.1007/s10336-010-0592-y.","productDescription":"15 p.","startPage":"339","endPage":"353","numberOfPages":"15","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254537,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254527,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10336-010-0592-y","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","volume":"152","issue":"supplement 2","noUsgsAuthors":false,"publicationDate":"2010-10-23","publicationStatus":"PW","scienceBaseUri":"505a0bf0e4b0c8380cd52958","contributors":{"authors":[{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":463232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":463235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Folk, Martin J.","contributorId":82568,"corporation":false,"usgs":true,"family":"Folk","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nesbitt, Stephen A.","contributorId":22827,"corporation":false,"usgs":true,"family":"Nesbitt","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147543,"text":"70147543 - 2012 - Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties","interactions":[],"lastModifiedDate":"2015-05-04T13:30:54","indexId":"70147543","displayToPublicDate":"2012-04-03T14:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties","docAbstract":"<p>1. In this, the second of a pair of papers on the structure of well-sorted natural granular material (sediment), new methods are described for automated measurements from images of sediment, of: 1) particle-size standard deviation (arithmetic sorting) with and without apparent void fraction; and 2) mean particle size in material with void fraction. A variety of simulations of granular material are used for testing purposes, in addition to images of natural sediment. Simulations are also used to establish that the effects on automated particle sizing of grains visible through the interstices of the grains at the very surface of a granular material continue to a depth of approximately 4 grain diameters and that this is independent of mean particle size. Ensemble root-mean squared error between observed and estimated arithmetic sorting coefficients for 262 images of natural silts, sands and gravels (drawn from 8 populations) is 31%, which reduces to 27% if adjusted for bias (slope correction between observed and estimated values). These methods allow non-intrusive and fully automated measurements of surfaces of unconsolidated granular material. With no tunable parameters or empirically derived coefficients, they should be broadly universal in appropriate applications. However, empirical corrections may need to be applied for the most accurate results. Finally, analytical formulas are derived for the one-step pore-particle transition probability matrix, estimated from the image's autocorrelogram, from which void fraction of a section of granular material can be estimated directly. This model gives excellent predictions of bulk void fraction yet imperfect predictions of pore-particle transitions.</p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1029/2011JF001975","usgsCitation":"Buscombe, D.D., and Rubin, D.M., 2012, Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties: Journal of Geophysical Research F: Earth Surface, v. 117, no. F2, 18 p., https://doi.org/10.1029/2011JF001975.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":474526,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jf001975","text":"Publisher Index Page"},{"id":300047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300046,"rank":1,"type":{"id":22,"text":"Related Work"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2011JF001974/abstract"}],"volume":"117","issue":"F2","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"55489833e4b0a658d7960d3c","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":546073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":546074,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037917,"text":"70037917 - 2012 - Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"70037917","displayToPublicDate":"2012-04-02T10:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA","docAbstract":"In situ chemical oxidation (ISCO) treatment with sodium permanganate, an electrically conductive oxidant, provides a strong electrical signal for tracking of injectate transport using time series geophysical surveys including direct current (DC) resistivity and electromagnetic (EM) methods. Effective remediation is dependent upon placing the oxidant in close contact with the contaminated aquifer. Therefore, monitoring tools that provide enhanced tracking capability of the injectate offer considerable benefit to guide subsequent ISCO injections. Time-series geophysical surveys were performed at a superfund site in New Hampshire, USA over a one-year period to identify temporal changes in the bulk electrical conductivity of a tetrachloroethylene (PCE; also called tetrachloroethene) contaminated, glacially deposited aquifer due to the injection of sodium permanganate. The ISCO treatment involved a series of pulse injections of sodium permanganate from multiple injection wells within a contained area of the aquifer. After the initial injection, the permanganate was allowed to disperse under ambient groundwater velocities. Time series geophysical surveys identified the downward sinking and pooling of the sodium permanganate atop of the underlying till or bedrock surface caused by density-driven flow, and the limited horizontal spread of the sodium permanganate in the shallow parts of the aquifer during this injection period. When coupled with conventional monitoring, the surveys allowed for an assessment of ISCO treatment effectiveness in targeting the PCE plume and helped target areas for subsequent treatment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.01.008","usgsCitation":"Harte, P.T., Smith, T.E., Williams, J., and Degnan, J.R., 2012, Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA: Journal of Contaminant Hydrology, v. 132, p. 58-74, https://doi.org/10.1016/j.jconhyd.2012.01.008.","productDescription":"17 p.","startPage":"58","endPage":"74","numberOfPages":"18","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":246914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246897,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.01.008","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","otherGeospatial":"Savage Superfund Site","volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb3b0e4b08c986b325f4d","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463032,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169312,"text":"70169312 - 2012 - Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis","interactions":[],"lastModifiedDate":"2016-03-24T09:54:28","indexId":"70169312","displayToPublicDate":"2012-04-01T04:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis","docAbstract":"<p><span>Spawning habitat, the cornerstone of self-sustaining, naturally reproducing walleye</span><i>Sander vitreus</i><span>&nbsp;populations, has received limited quantitative research. Our goal was to quantitatively describe the structure and quantity of natural walleye spawning habitat and evaluate potential selection of habitat in Big Crooked Lake, Wisconsin. In 2004 and 2005, we located and delineated walleye egg deposition polygons through visual snorkel and scuba surveys. We also delineated recently deposited, adhesive egg patches daily along one spawning reef in 2005. To determine habitat selection, we quantified and compared spawning and lakewide available habitat at different scales. In both years, walleyes used similar spawning habitat, including three geomorphic types: linear shorelines, a point bar, and an island. Walleyes used only 14% of the entire lake shoreline and 39% of the shoreline comprised of gravel (6.4&ndash;76.0&nbsp;mm), cobble (76.1&ndash;149.9&nbsp;mm), or coarser substrates for spawning in 2005, indicating selection of specific spawning habitat. Lakewide, walleyes spawned close to shore (outer egg deposition polygon boundary mean distance = 2.7&nbsp;m), in shallow water (outer egg deposition polygon boundary mean depth = 0.3&nbsp;m), and over gravel substrate (percent coverage mean = 64.3) having low embeddedness (mean = 1.30). Our best nearshore (0&ndash;13-m) resource selection function predicted an increase in the relative probability of egg deposition with the increasing abundance of gravel, cobble, and rubble (150.0&ndash;303.9-mm) substrates and a decrease with increasing distance from shore and water depth (89.9% overall correct classification). Adhesive egg patches confirmed that walleyes actively chose nearshore, shallow-water, and coarse-substrate spawning habitat. The quantitative habitat information and predictive models will assist biologists in developing walleye spawning reef protection strategies and potentially aid in designing and evaluating artificial spawning reefs.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.679017","usgsCitation":"Raabe, J.K., and Bozek, M.A., 2012, Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1097-1108, https://doi.org/10.1080/00028487.2012.679017.","productDescription":"12 p.","startPage":"1097","endPage":"1108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032543","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Big Crooked Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.68276977539062,\n              46.12988744484639\n            ],\n            [\n              -89.68276977539062,\n              46.150345757336574\n            ],\n            [\n              -89.65856552124023,\n              46.150345757336574\n            ],\n            [\n              -89.65856552124023,\n              46.12988744484639\n            ],\n            [\n              -89.68276977539062,\n              46.12988744484639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-02","publicationStatus":"PW","scienceBaseUri":"56f50fcfe4b0f59b85e1eb84","contributors":{"authors":[{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":623503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191695,"text":"70191695 - 2012 - Using pad‐stripped acausally filtered strong‐motion data","interactions":[],"lastModifiedDate":"2017-10-17T17:02:41","indexId":"70191695","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Using pad‐stripped acausally filtered strong‐motion data","docAbstract":"<p><span>Most strong‐motion data processing involves acausal low‐cut filtering, which requires the addition of sometimes lengthy zero pads to the data. These padded sections are commonly removed by organizations supplying data, but this can lead to incompatibilities in measures of ground motion derived in the usual way from the padded and the pad‐stripped data. One way around this is to use the correct initial conditions in the pad‐stripped time series when computing displacements, velocities, and linear oscillator response. Another way of ensuring compatibility is to use postprocessing of the pad‐stripped acceleration time series. Using 4071 horizontal and vertical acceleration time series from the Turkish strong‐motion database, we show that the procedures used by two organizations—ITACA (ITalian ACcelerometric Archive) and PEER NGA (Pacific Earthquake Engineering Research Center–Next Generation Attenuation)—lead to little bias and distortion of derived seismic‐intensity measures.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110222","usgsCitation":"Boore, D., Sisi, A.A., and Akkar, S., 2012, Using pad‐stripped acausally filtered strong‐motion data: Bulletin of the Seismological Society of America, v. 102, no. 2, p. 751-760, https://doi.org/10.1785/0120110222.","productDescription":"10 p.","startPage":"751","endPage":"760","ipdsId":"IP-034111","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487191,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3440334","text":"External Repository"},{"id":346769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331f8","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisi, Aida Azari","contributorId":197265,"corporation":false,"usgs":false,"family":"Sisi","given":"Aida","email":"","middleInitial":"Azari","affiliations":[],"preferred":false,"id":713089,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Akkar, Sinan","contributorId":39175,"corporation":false,"usgs":true,"family":"Akkar","given":"Sinan","email":"","affiliations":[],"preferred":false,"id":713090,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045580,"text":"70045580 - 2012 - Socio-environmental health analysis in Nogales, Sonora, Mexico","interactions":[],"lastModifiedDate":"2013-06-17T15:57:15","indexId":"70045580","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3715,"text":"Water Quality, Exposure, and Health","active":true,"publicationSubtype":{"id":10}},"title":"Socio-environmental health analysis in Nogales, Sonora, Mexico","docAbstract":"In Nogales, Sonora, Mexico, some neighborhoods, or colonias, have intermittent delivery of water through pipes from the city of Nogales’s municipal water-delivery system while other areas lack piped water and rely on water delivered by truck or pipas. This research examined how lifestyles, water quality, and potential disease response, such as diarrhea, differs seasonally from a colonia with access to piped water as opposed to one using alternative water-delivery systems. Water samples were collected from taps or spigots at homes in two Nogales colonias. One colonia reflected high socio-environmental conditions where residents are supplied with municipal piped water (Colonia Lomas de Fatima); the second colonia reflected low socio-environmental conditions, lacking access to piped water and served by pipas (Colonia Luis Donaldo Colosio). A survey was developed and implemented to characterize perceptions of water quality, health impacts, and quality of life. Water samples were analyzed for microbial and inorganic water-quality parameters known to impact human health including, Escherichia coli (E. coli), total coliform bacteria, arsenic, and lead. A total of 21 households agreed to participate in the study (14 in Colosio and 7 in Fatima). In both colonias metal concentrations from water samples were all well below the United States Environmental Protection Agency’s (US EPA’s) maximum contaminant levels. E. coli concentrations exceeded the US EPA’s drinking-water standard in Colosio but not Fatima. Total coliform bacteria were present in over 50 % of households in both colonias. Microbial contamination was significantly higher in the summer than in the winter in both colonias. Resulting analysis suggests that residents in colonias without piped water are at a greater risk of gastrointestinal illness from consumption of compromised drinking water. Our survey corroborated reports of gastrointestinal illness in the summer months but not in the winter. Chloride was found to be significantly greater in Colosio (median 29.2 mg/L) although still below the US EPA’s maximum contaminant levels of 250 mg/L. Ongoing binational collaboration can promote mechanisms to improve water quality in cities located in the US–Mexico border.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Quality, Exposure, and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12403-012-0067-x","usgsCitation":"Norman, L.M., Caldeira, F., Callegary, J., Gray, F., O’ Rourke, M.K., Meranza, V., and Van Rijn, S., 2012, Socio-environmental health analysis in Nogales, Sonora, Mexico: Water Quality, Exposure, and Health, v. 4, no. 2, p. 79-91, https://doi.org/10.1007/s12403-012-0067-x.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-033444","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12403-012-0067-x","text":"Publisher Index Page"},{"id":273864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273862,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12403-012-0067-x"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.58,31.14 ], [ -110.58,31.20 ], [ -110.54,31.20 ], [ -110.54,31.14 ], [ -110.58,31.14 ] ] ] } } ] }","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-12","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d59","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldeira, Felipe","contributorId":28148,"corporation":false,"usgs":true,"family":"Caldeira","given":"Felipe","email":"","affiliations":[],"preferred":false,"id":477865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":477867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’ Rourke, Mary Kay","contributorId":25439,"corporation":false,"usgs":true,"family":"O’ Rourke","given":"Mary","email":"","middleInitial":"Kay","affiliations":[],"preferred":false,"id":477864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meranza, Veronica","contributorId":97802,"corporation":false,"usgs":true,"family":"Meranza","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":477868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Rijn, Saskia","contributorId":48463,"corporation":false,"usgs":true,"family":"Van Rijn","given":"Saskia","email":"","affiliations":[],"preferred":false,"id":477866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038516,"text":"70038516 - 2012 - Population divergence and gene flow in an endangered and highly mobile seabird","interactions":[],"lastModifiedDate":"2020-12-31T13:25:49.689072","indexId":"70038516","displayToPublicDate":"2012-03-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Population divergence and gene flow in an endangered and highly mobile seabird","docAbstract":"<p><span>Seabirds are highly vagile and can disperse up to thousands of kilometers, making it difficult to identify the factors that promote isolation between populations. The endemic Hawaiian petrel (Pterodroma sandwichensis) is one such species. Today it is endangered, and known to breed only on the islands of Hawaii, Maui, Lanai and Kauai. Historical records indicate that a large population formerly bred on Molokai as well, but this population has recently been extirpated. Given the great dispersal potential of these petrels, it remains unclear if populations are genetically distinct and which factors may contribute to isolation between them. We sampled petrels from across their range, including individuals from the presumably extirpated Molokai population. We sequenced 524 bp of mitochondrial DNA, 741 bp from three nuclear introns, and genotyped 18 microsatellite loci in order to examine the patterns of divergence in this species and to investigate the potential underlying mechanisms. Both mitochondrial and nuclear data sets indicated significant genetic differentiation among all modern populations, but no differentiation was found between historic samples from Molokai and modern birds from Lanai. Population-specific nonbreeding distribution and strong natal philopatry may reduce gene flow between populations. However, the lack of population structure between extirpated Molokai birds and modern birds on Lanai indicates that there was substantial gene flow between these populations and that petrels may be able to overcome barriers to dispersal prior to complete extirpation. Hawaiian petrel populations could be considered distinct management units, however, the dwindling population on Hawaii may require translocation to prevent extirpation in the near future.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/hdy.2012.7","usgsCitation":"Welch, A.J., Fleischer, R.C., James, H., Wiley, A.E., Ostrom, P.H., Adams, J., Duvall, F., Holmes, N., Hu, D., Penniman, J., and Swindle, K.A., 2012, Population divergence and gene flow in an endangered and highly mobile seabird: Heredity, v. 109, no. 1, p. 19-28, https://doi.org/10.1038/hdy.2012.7.","productDescription":"10 p.","startPage":"19","endPage":"28","ipdsId":"IP-029463","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/hdy.2012.7","text":"Publisher Index Page"},{"id":381799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.48828125,\n              18.812717856407776\n            ],\n            [\n              -154.62158203125,\n              18.812717856407776\n            ],\n            [\n              -154.62158203125,\n              22.370396344320053\n            ],\n            [\n              -160.48828125,\n              22.370396344320053\n            ],\n            [\n              -160.48828125,\n              18.812717856407776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-03-21","publicationStatus":"PW","scienceBaseUri":"57f7f3b2e4b0bc0bec0a0b19","contributors":{"authors":[{"text":"Welch, A. J.","contributorId":119163,"corporation":false,"usgs":true,"family":"Welch","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":514128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleischer, R. C.","contributorId":117574,"corporation":false,"usgs":true,"family":"Fleischer","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":514127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, H. F.","contributorId":116343,"corporation":false,"usgs":true,"family":"James","given":"H. F.","affiliations":[],"preferred":false,"id":514126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiley, A. E.","contributorId":119760,"corporation":false,"usgs":true,"family":"Wiley","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":514129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostrom, P. H.","contributorId":121266,"corporation":false,"usgs":true,"family":"Ostrom","given":"P.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":514130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, J.","contributorId":45240,"corporation":false,"usgs":true,"family":"Adams","given":"J.","affiliations":[],"preferred":false,"id":514122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duvall, F.","contributorId":89250,"corporation":false,"usgs":true,"family":"Duvall","given":"F.","email":"","affiliations":[],"preferred":false,"id":514123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, N.","contributorId":105131,"corporation":false,"usgs":true,"family":"Holmes","given":"N.","email":"","affiliations":[],"preferred":false,"id":514124,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hu, D.","contributorId":11420,"corporation":false,"usgs":true,"family":"Hu","given":"D.","email":"","affiliations":[],"preferred":false,"id":514120,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Penniman, J.","contributorId":16661,"corporation":false,"usgs":true,"family":"Penniman","given":"J.","email":"","affiliations":[],"preferred":false,"id":514121,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swindle, K. A.","contributorId":115402,"corporation":false,"usgs":true,"family":"Swindle","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":514125,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
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