{"pageNumber":"601","pageRowStart":"15000","pageSize":"25","recordCount":69035,"records":[{"id":70073513,"text":"70073513 - 2013 - Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","interactions":[],"lastModifiedDate":"2014-01-21T10:33:11","indexId":"70073513","displayToPublicDate":"2013-10-15T10:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","docAbstract":"The Iceland Deep Drilling Project Well 1 was designed as a 4- to 5-km-deep exploration well with the goal of intercepting supercritical hydrothermal fluids in the Krafla geothermal field, Iceland. The well unexpectedly drilled into a high-silica (76.5 % SiO<sub>2</sub>) rhyolite melt at approximately 2.1 km. Some of the melt vesiculated while extruding into the drill hole, but most of the recovered cuttings are quenched sparsely phyric, vesicle-poor glass. The phenocryst assemblage is comprised of titanomagnetite, plagioclase, augite, and pigeonite. Compositional zoning in plagioclase and exsolution lamellae in augite and pigeonite record changing crystallization conditions as the melt migrated to its present depth of emplacement. The in situ temperature of the melt is estimated to be between 850 and 920 °C based on two-pyroxene geothermometry and modeling of the crystallization sequence. Volatile content of the glass indicated partial degassing at an in situ pressure that is above hydrostatic (~16 MPa) and below lithostatic (~55 MPa). The major element and minor element composition of the melt are consistent with an origin by partial melting of hydrothermally altered basaltic crust at depth, similar to rhyolite erupted within the Krafla Caldera. Chondrite-normalized REE concentrations show strong light REE enrichment and relative flat patterns with negative Eu anomaly. Strontium isotope values (0.70328) are consistent with mantle-derived melt, but oxygen and hydrogen isotope values are depleted (3.1 and −118 ‰, respectively) relative to mantle values. The hydrogen isotope values overlap those of hydrothermal epidote from rocks altered by the meteoric-water-recharged Krafla geothermal system. The rhyolite melt was emplaced into and has reacted with a felsic intrusive suite that has nearly identical composition. The felsite is composed of quartz, alkali feldspar, plagioclase, titanomagnetite, and augite. Emplacement of the rhyolite magma has resulted in partial melting of the felsite, accompanied locally by partial assimilation. The interstitial melt in the felsite has similar normalized SiO<sub>2</sub> content as the rhyolite melt but is distinguished by higher K<sub>2</sub>O and lower CaO and plots near the minimum melt composition in the granite system. Augite in the partially melted felsite has re-equilibrated to more calcic metamorphic compositions. Rare quenched glass fragments containing glomeroporphyritic crystals derived from the felsite show textural evidence for resorption of alkali feldspar and quartz. The glass in these fragments is enriched in SiO<sub>2</sub> relative to the rhyolite melt or the interstitial felsite melt, consistent with the textural evidence for quartz dissolution. The quenching of these melts by drilling fluids at in situ conditions preserves details of the melt–wall rock interaction that would not be readily observed in rocks that had completely crystallized. However, these processes may be recognizable by a combination of textural analysis and in situ analytical techniques that document compositional heterogeneity due to partial melting and local assimilation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Contributions to Mineralogy and Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00410-012-0811-z","usgsCitation":"Zierenberg, R., Schiffmant, P., Barfod, G., Lesher, C., Marks, N., Lowenstern, J.B., Mortensen, A., Pope, E., Bird, D., Reed, M., Fridleifsson, G., and Elders, W., 2013, Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland: Contributions to Mineralogy and Petrology, v. 165, no. 2, p. 327-347, https://doi.org/10.1007/s00410-012-0811-z.","productDescription":"21 p.","startPage":"327","endPage":"347","numberOfPages":"21","ipdsId":"IP-041015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281310,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00410-012-0811-z"}],"country":"Iceland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -16.857456,65.723445 ], [ -16.857456,65.752183 ], [ -16.807488,65.752183 ], [ -16.807488,65.723445 ], [ -16.857456,65.723445 ] ] ] } } ] }","volume":"165","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"53cd5243e4b0b290850f46dc","contributors":{"authors":[{"text":"Zierenberg, R.A.","contributorId":8998,"corporation":false,"usgs":true,"family":"Zierenberg","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":488866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schiffmant, Peter","contributorId":51016,"corporation":false,"usgs":true,"family":"Schiffmant","given":"Peter","affiliations":[],"preferred":false,"id":488873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barfod, G.H.","contributorId":93380,"corporation":false,"usgs":true,"family":"Barfod","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":488875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lesher, C.E.","contributorId":28217,"corporation":false,"usgs":true,"family":"Lesher","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":488870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marks, N.E.","contributorId":48410,"corporation":false,"usgs":true,"family":"Marks","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":488872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":488865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mortensen, A.K.","contributorId":107526,"corporation":false,"usgs":true,"family":"Mortensen","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":488876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pope, E.C.","contributorId":30478,"corporation":false,"usgs":true,"family":"Pope","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":488871,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bird, D.K.","contributorId":24934,"corporation":false,"usgs":true,"family":"Bird","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":488869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reed, M.H.","contributorId":91606,"corporation":false,"usgs":true,"family":"Reed","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":488874,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fridleifsson, G.O.","contributorId":17911,"corporation":false,"usgs":true,"family":"Fridleifsson","given":"G.O.","email":"","affiliations":[],"preferred":false,"id":488867,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elders, W.A.","contributorId":18110,"corporation":false,"usgs":true,"family":"Elders","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":488868,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70118579,"text":"70118579 - 2013 - Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon","interactions":[],"lastModifiedDate":"2018-11-01T14:38:50","indexId":"70118579","displayToPublicDate":"2013-10-11T13:06:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon","docAbstract":"The southwesterly course of the probably pre–early Miocene and possibly Oligocene Crooked Ridge River can be traced continuously for 48 km and discontinuously for 91 km in northern Arizona (United States). The course is visible today in inverted relief. Pebbles in the river gravel came from at least as far northeast as the San Juan Mountains (Colorado). The river valley was carved out of easily eroded Jurassic and Cretaceous rocks whose debris overloaded the river with abundant detritus, probably steepening the gradient. After the river became inactive, the regional drainage network was rearranged three times, and the nearby Four Corners region was lowered 1–2 km by erosion. The river provides constraints on the early evolution of the Colorado River and Grand Canyon. Continuation of this river into lakes in Arizona or Utah is unlikely, as is integration through Grand Canyon by lake spillover. The downstream course of the river probably was across the Kaibab arch in a valley roughly coincident with the present eastern Grand Canyon. Beyond this point, the course may have continued to the drainage basin of the Sacramento River, or to the proto–Snake River drainage. Crooked Ridge River was beheaded by the developing San Juan River, which pirated its waters and probably was tributary to a proto–Colorado River, flowing roughly along its present course west of the Monument upwarp.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00861.1","usgsCitation":"Lucchitta, I., Holm, R.F., and Lucchitta, B.K., 2013, Implications of the miocene(?) crooked ridge river of northern arizona for the evolution of the colorado river and grand canyon: Geosphere, v. 9, no. 6, p. 1417-1433, https://doi.org/10.1130/GES00861.1.","productDescription":"17 p.","startPage":"1417","endPage":"1433","numberOfPages":"17","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00861.1","text":"Publisher Index Page"},{"id":291320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291319,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00861.1"}],"volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"57f7f22ee4b0bc0bec0a0222","contributors":{"authors":[{"text":"Lucchitta, Ivo","contributorId":94291,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Ivo","email":"","affiliations":[],"preferred":false,"id":497084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm, Richard F.","contributorId":8009,"corporation":false,"usgs":true,"family":"Holm","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":497083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":497082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048807,"text":"70048807 - 2013 - Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","interactions":[],"lastModifiedDate":"2013-11-06T10:27:00","indexId":"70048807","displayToPublicDate":"2013-10-11T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data","docAbstract":"Arctic freshwater ecosystems have responded rapidly to climatic changes over the last half century. Lakes and rivers are experiencing a thinning of the seasonal ice cover, which may increase potential over-wintering freshwater habitat, winter water supply for industrial withdrawal, and permafrost degradation. Here, we combined the use of ground penetrating radar (GPR) and high-resolution (HR) spotlight TerraSAR-X (TSX) satellite data (1.25 m resolution) to identify and characterize floating ice and grounded ice conditions in lakes, ponds, beaded stream pools, and an alluvial river channel. Classified ice conditions from the GPR and the TSX data showed excellent agreement: 90.6% for a predominantly floating ice lake, 99.7% for a grounded ice lake, 79.0% for a beaded stream course, and 92.1% for the alluvial river channel. A GIS-based analysis of 890 surface water features larger than 0.01 ha showed that 42% of the total surface water area potentially provided over-wintering habitat during the 2012/2013 winter. Lakes accounted for 89% of this area, whereas the alluvial river channel accounted for 10% and ponds and beaded stream pools each accounted for <1%. Identification of smaller landscape features such as beaded stream pools may be important because of their distribution and role in connecting other water bodies on the landscape. These findings advance techniques for detecting and knowledge associated with potential winter habitat distribution for fish and invertebrates at the local scale in a region of the Arctic with increasing stressors related to climate and land use change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2013.834392","usgsCitation":"Jones, B.M., Gusmeroli, A., Arp, C.D., Strozzi, T., Grosse, G., Gaglioti, B.V., and Whitman, M.S., 2013, Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data: International Journal of Remote Sensing, v. 34, no. 23, p. 8267-8279, https://doi.org/10.1080/2150704X.2013.834392.","productDescription":"13 p.","startPage":"8267","endPage":"8279","numberOfPages":"13","ipdsId":"IP-049177","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":278875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278874,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/2150704X.2013.834392"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain;Fish Creek;Judy Creek;Ublutuoch River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.599998,70.199529 ], [ -151.599998,70.335093 ], [ -151.259422,70.335093 ], [ -151.259422,70.199529 ], [ -151.599998,70.199529 ] ] ] } } ] }","volume":"34","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"527b72f5e4b0a7295d9b85b5","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":485676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":485682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strozzi, Tazio","contributorId":64547,"corporation":false,"usgs":true,"family":"Strozzi","given":"Tazio","email":"","affiliations":[],"preferred":false,"id":485679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":485677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":485680,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047104,"text":"70047104 - 2013 - Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","interactions":[],"lastModifiedDate":"2014-02-05T15:39:57","indexId":"70047104","displayToPublicDate":"2013-10-01T15:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","docAbstract":"Water clarity increased in nearshore areas of western Lake Erie by the early-1990s mainly as a result of the filtering activities of dreissenid mussels (Dreissena spp.), which invaded in the mid-1980s. We hypothesized that increased water clarity would result in greater trawl avoidance and thus reduced ability to capture fish in bottom trawls during daytime compared to nighttime. We examined this hypothesis by summarizing three analyses on fish data collected in western Lake Erie. First, we used a two-tiered modeling approach on the ration (R) of catch per hour (CPH) of age-0 yellow perch (Perca flavencens Mitchell) at night to CPH during daytime in 1961-2005. The best a priori and a posteriori models indicated a shift to higher CPH at night (R > 1) between 1990 and 1991, which corresponded to 3 years after the dreissenid invasion and when water clarity noticeably increased at nearshore sites. Secondly, we examined effects of nighttime sampling on estimates of abundance of age-2 and older yellow perch, which form the basis for recommended allowable harvest (RAH). When data from night sampling were included in models that predict abundance of age-2 yellow perch from indices of abundance of age-0 and age-1 yellow perch, predicted abundance was lower and model precision, as measured by r-squared, was higher compared to models that excluded data collected at night. Furthermore, the use of only CPH data collected at night typically resulted in lower estimates of abundance and more precise models compared to models that included CPH data collected during both daytime and nighttime. Thirdly, we used presence/absence data from paired bottom trawl samples to calculate an index of capture probability (or catchability) to determine if our ability to capture the four most common benthic species in western Lake Erie was affected by dreissenid-caused increased water clarity. Three species of fish(white perch, Morone americana Gmelin; yellow perch; and trout-perch, Percopsis omiscomaycus Walbaum) had lower mean daytime catchability than nighttime catchability after dreissenids became established, which supported the hypothesis of greater trawl avoidance during daytime following establishment of dreissenids. Results from freshwater drum (Aplodinotus grunniens Rafinesque) were opposite those of the other three species, which may be a result of behavioral shifts due to freshwater drum feeding on dreissenids mussels. Collectively, these three studies suggest that dreissenids indirectly affected our ability to assess fish populations, which further affects estimates of fish densities and relationships between indices of abundance and true abundance.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","publisherLocation":"Hoboken, NJ","isbn":"9781439854372","usgsCitation":"Stapanian, M.A., and Kocovsky, P., 2013, Effects of dreissenids on monitoring and management of fisheries in western Lake Erie, chap. <i>of</i> Quagga and zebra mussels: biology, impacts, and control, p. 681-692.","productDescription":"12 p.","startPage":"681","endPage":"692","numberOfPages":"12","ipdsId":"IP-027862","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":282058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3815 ], [ -83.4797,42.6773 ], [ -81.0731,42.6773 ], [ -81.0731,41.3815 ], [ -83.4797,41.3815 ] ] ] } } ] }","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd56bbe4b0b290850f7190","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":481062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":481063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103400,"text":"70103400 - 2013 - Geographic setting influences Great Lakes beach microbiological water quality","interactions":[],"lastModifiedDate":"2018-09-13T10:19:52","indexId":"70103400","displayToPublicDate":"2013-10-01T15:32:43","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Geographic setting influences Great Lakes beach microbiological water quality","docAbstract":"Understanding of factors that influence Escherichia coli (EC) and enterococci (ENT) concentrations, pathogen occurrence, and microbial sources at Great Lakes beaches comes largely from individual beach studies. Using 12 representative beaches, we tested enrichment cultures from 273 beach water and 22 tributary samples for EC, ENT, and genes indicating the bacterial pathogens Shiga-toxin producing E. coli (STEC), Shigella spp., Salmonella spp, Campylobacter jejuni/coli, and methicillin-resistant Staphylococcus aureus, and 108–145 samples for Bacteroides human, ruminant, and gull source-marker genes. EC/ENT temporal patterns, general Bacteroides concentration, and pathogen types and occurrence were regionally consistent (up to 40 km), but beach catchment variables (drains/creeks, impervious surface, urban land cover) influenced exceedances of EC/ENT standards and detections of Salmonella and STEC. Pathogen detections were more numerous when the EC/ENT Beach Action Value (but not when the Geometric Mean and Statistical Threshold Value) was exceeded. EC, ENT, and pathogens were not necessarily influenced by the same variables. Multiple Bacteroides sources, varying by date, occurred at every beach. Study of multiple beaches in different geographic settings provided new insights on the contrasting influences of regional and local variables, and a broader-scale perspective, on significance of EC/ENT exceedances, bacterial sources, and pathogen occurrence.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es402299a","usgsCitation":"Haack, S.K., Fogarty, L., Stelzer, E.A., Fuller, L.M., Brennan, A.K., Isaacs, N.M., and Johnson, H., 2013, Geographic setting influences Great Lakes beach microbiological water quality: Environmental Science & Technology, v. 47, no. 21, p. 12054-12063, https://doi.org/10.1021/es402299a.","productDescription":"10 p.","startPage":"12054","endPage":"12063","ipdsId":"IP-049093","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":473492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es402299a","text":"Publisher Index Page"},{"id":286854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es402299a"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"47","issue":"21","noUsgsAuthors":false,"publicationDate":"2013-09-27","publicationStatus":"PW","scienceBaseUri":"53771753e4b02eab8669ec99","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fogarty, Lisa R.","contributorId":74074,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa R.","affiliations":[],"preferred":false,"id":493328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Lori M. lmfuller@usgs.gov","contributorId":2100,"corporation":false,"usgs":true,"family":"Fuller","given":"Lori","email":"lmfuller@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Angela K. akbrennan@usgs.gov","contributorId":4892,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","email":"akbrennan@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isaacs, Natasha M. nisaacs@usgs.gov","contributorId":4918,"corporation":false,"usgs":true,"family":"Isaacs","given":"Natasha","email":"nisaacs@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":744856,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198337,"text":"70198337 - 2013 - Variability and trends in irrigated and non-irrigated croplands in the central U.S","interactions":[],"lastModifiedDate":"2018-12-07T14:36:21","indexId":"70198337","displayToPublicDate":"2013-10-01T14:52:11","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Variability and trends in irrigated and non-irrigated croplands in the central U.S","docAbstract":"<p><span>Over 23 million hectares (233 thousand km</span><sup>2</sup><span>) of U.S. croplands are irrigated and there was an overall net expansion of 522 thousand hectares nationally from 2002 to 2007. Most of this expansion occurred across the High Plains Aquifer (HPA) in the central Great Plains. Until recently, there has been a lack of geospatially-detailed irrigation data that are consistent, timely, geographically extensive, and periodic to support studies linking agricultural land use change to crop yields, aquifer water use, and other factors. We employed a modeling approach implemented at two time intervals (2002 and 2007) to map irrigated agriculture across the conterminous U.S. at a sub-county spatial detail (250 m</span><sup>2</sup><span>&nbsp;spatial resolution). The model integrated U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map. The geospatial model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US), was then used to depict detailed spatial patterns of irrigation change across the HPA from 2002 to 2007. Spatial changes in irrigation may result in shifts in local and regional climate, groundwater depletion, and higher crop yields and farm income. A closer investigation of irrigated corn across the HPA from 2000 to 2012 revealed even more variability through time, underscoring the need for more frequent periodic mapping of irrigated agriculture.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Second International Conference on Agro-Geoinformatics","conferenceDate":"August 12-16, 2013","conferenceLocation":"Fairfax, VA","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","publisherLocation":"Piscataway, NJ","doi":"10.1109/Argo-Geoinformatics.2013.6621888","isbn":"978-1-4799-0868-4","usgsCitation":"Brown, J.F., and Pervez, M., 2013, Variability and trends in irrigated and non-irrigated croplands in the central U.S, <i>in</i> Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings, Fairfax, VA, August 12-16, 2013, p. 102-105, https://doi.org/10.1109/Argo-Geoinformatics.2013.6621888.","productDescription":"4 p.","startPage":"102","endPage":"105","ipdsId":"IP-049069","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":359681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfd1472e4b0815414ca390c","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":741130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":741131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074270,"text":"70074270 - 2013 - Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","interactions":[],"lastModifiedDate":"2014-01-28T14:47:30","indexId":"70074270","displayToPublicDate":"2013-10-01T14:41:15","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing","docAbstract":"Fiber-optic distributed temperature sensing (FO-DTS) increasingly is used to map zones of focused groundwater/surface-water exchange (GWSWE). Previous studies of GWSWE using FO-DTS involved identification of zones of focused GWSWE based on arbitrary cutoffs of FO-DTS time-series statistics (e.g., variance, cross-correlation between temperature and stage, or spectral power). New approaches are needed to extract more quantitative information from large, complex FO-DTS data sets while concurrently providing an assessment of uncertainty associated with mapping zones of focused GSWSE. Toward this end, we present a strategy combining discriminant analysis (DA) and spectral analysis (SA). We demonstrate the approach using field experimental data from a reach of the Columbia River adjacent to the Hanford 300 Area site. Results of the combined SA/DA approach are shown to be superior to previous results from qualitative interpretation of FO-DTS spectra alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20458","usgsCitation":"Mwakanyamale, K., Day-Lewis, F.D., and Slater, L.D., 2013, Statistical mapping of zones of focused groundwater/surface-water exchange using fiber-optic distributed temperature sensing: Water Resources Research, v. 49, no. 10, p. 6979-6984, https://doi.org/10.1002/wrcr.20458.","productDescription":"6 p.","startPage":"6979","endPage":"6984","numberOfPages":"6","ipdsId":"IP-050678","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true}],"links":[{"id":473493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20458","text":"Publisher Index Page"},{"id":281623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281622,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20458"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.400445,46.198408 ], [ -119.400445,46.370576 ], [ -119.211582,46.370576 ], [ -119.211582,46.198408 ], [ -119.400445,46.198408 ] ] ] } } ] }","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"53cd7401e4b0b29085109465","contributors":{"authors":[{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044237,"text":"70044237 - 2013 - Recent changes in successional state of the deep-water fish communities of Lakes Michigan, Huron, and Ontario and management implications","interactions":[],"lastModifiedDate":"2023-04-04T14:31:57.929851","indexId":"70044237","displayToPublicDate":"2013-10-01T13:40:33","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recent changes in successional state of the deep-water fish communities of Lakes Michigan, Huron, and Ontario and management implications","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Great Lakes fisheries policy and management: A binational perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Michigan State University Press","usgsCitation":"Eshenroder, R., and Lantry, B.F., 2013, Recent changes in successional state of the deep-water fish communities of Lakes Michigan, Huron, and Ontario and management implications, chap. <i>of</i> Great Lakes fisheries policy and management: A binational perspective, p. 137-166.","productDescription":"30 p.","startPage":"137","endPage":"166","ipdsId":"IP-016819","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":415168,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/10.14321/j.ctt7ztc19.10","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lakes Michigan, Huron, and Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.6872355770145,\n 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J.","contributorId":268054,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":868577,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Eshenroder, Randy L.","contributorId":86716,"corporation":false,"usgs":true,"family":"Eshenroder","given":"Randy L.","affiliations":[],"preferred":false,"id":475163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":475162,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099618,"text":"70099618 - 2013 - It's time for bold new approaches to link delta science and policymaking","interactions":[],"lastModifiedDate":"2020-12-29T12:33:15.460312","indexId":"70099618","displayToPublicDate":"2013-10-01T13:38:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"It's time for bold new approaches to link delta science and policymaking","docAbstract":"<p>California’s Sacramento–San Joaquin Delta is widely recognized as a highly damaged\necosystem. The Delta is also emblematic of a growing sense worldwide that society\nneeds to do a better job of using scientific knowledge to guide conservation and\nresource management policies. Fortunately, we now have an unprecedented opportunity\nto get it right in building structures that support effective science–policy linkages\nin the Delta. By adopting bold steps to implement a “one Delta, one science” approach\nfor a new Delta Science Plan, California can become a leading example of how to\ntackle the global problem of rapid ecological change and biodiversity loss.</p>\n<br/>\n<p>In this essay, we first describe the current paradox—continued environmental declines\ndespite considerable investments in science and policy actions—and the high stakes of\ngambling with failure. Next, we explore why it is so hard to use scientific knowledge\nto design and implement policies that meet society’s sustainability goals. We then\noutline promising ways to overcome these obstacles, drawing on recent experiences.\nWe conclude with thoughts on how to leverage this experience to develop a bold new\napproach to Delta science.</p>","language":"English","publisher":"John Muir Institute of the Environment","doi":"10.15447/sfews.2013v11iss3art6","usgsCitation":"Cloern, J.E., and Hanak, E., 2013, It's time for bold new approaches to link delta science and policymaking: San Francisco Estuary and Watershed Science, v. 11, no. 3, 7 p., https://doi.org/10.15447/sfews.2013v11iss3art6.","productDescription":"7 p.","ipdsId":"IP-048889","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2013v11iss3art6","text":"Publisher Index Page"},{"id":381712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5646,38.6515 ], [ -122.5646,37.1915 ], [ -120.9973,37.1915 ], [ -120.9973,38.6515 ], [ -122.5646,38.6515 ] ] ] } } ] }","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-10-22","publicationStatus":"PW","scienceBaseUri":"535594a8e4b0120853e8c037","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":491988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanak, Ellen","contributorId":22674,"corporation":false,"usgs":true,"family":"Hanak","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":491989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057609,"text":"70057609 - 2013 - Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","interactions":[],"lastModifiedDate":"2013-11-26T13:02:23","indexId":"70057609","displayToPublicDate":"2013-10-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic","docAbstract":"In response to a call from the US National Research Council for research programs to combine their data to improve sea turtle population assessments, we analyzed somatic growth data for Northwest Atlantic (NWA) loggerhead sea turtles (Caretta caretta) from 10 research programs. We assessed growth dynamics over wide ranges of geography (9–33°N latitude), time (1978–2012), and body size (35.4–103.3 cm carapace length). Generalized additive models revealed significant spatial and temporal variation in growth rates and a significant decline in growth rates with increasing body size. Growth was more rapid in waters south of the USA (<24°N) than in USA waters. Growth dynamics in southern waters in the NWA need more study because sample size was small. Within USA waters, the significant spatial effect in growth rates of immature loggerheads did not exhibit a consistent latitudinal trend. Growth rates declined significantly from 1997 through 2007 and then leveled off or increased. During this same interval, annual nest counts in Florida declined by 43 % (Witherington et al. in Ecol Appl 19:30–54, 2009) before rebounding. Whether these simultaneous declines reflect responses in productivity to a common environmental change should be explored to determine whether somatic growth rates can help interpret population trends based on annual counts of nests or nesting females. Because of the significant spatial and temporal variation in growth rates, population models of NWA loggerheads should avoid employing growth data from restricted spatial or temporal coverage to calculate demographic metrics such as age at sexual maturity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-013-2264-y","usgsCitation":"Bjorndal, K.A., Schroeder, B.A., Foley, A., Witherington, B.E., Bresette, M., Clark, D., Herren, R.M., Arendt, M.D., Schmid, J., Meylan, A.B., Meylan, P.A., Provancha, J., Hart, K.M., Lamont, M.M., Carthy, R.R., and Bolten, A.B., 2013, Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (<i>Caretta caretta</i>) in the Northwest Atlantic: Marine Biology, v. 160, no. 10, p. 2711-2721, https://doi.org/10.1007/s00227-013-2264-y.","productDescription":"11 p.","startPage":"2711","endPage":"2721","numberOfPages":"11","temporalStart":"1978-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-044468","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279837,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-013-2264-y"}],"country":"United States","otherGeospatial":"Northwest Atlantic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6,9.0 ], [ -81.6,33.0 ], [ -51.9,33.0 ], [ -51.9,9.0 ], [ -81.6,9.0 ] ] ] } } ] }","volume":"160","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"5295d12be4b0becc369c8c9c","contributors":{"authors":[{"text":"Bjorndal, Karen A.","contributorId":96997,"corporation":false,"usgs":false,"family":"Bjorndal","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Barbara A.","contributorId":87853,"corporation":false,"usgs":true,"family":"Schroeder","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":486850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bresette, Michael","contributorId":61335,"corporation":false,"usgs":true,"family":"Bresette","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, David","contributorId":95383,"corporation":false,"usgs":true,"family":"Clark","given":"David","affiliations":[],"preferred":false,"id":486853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herren, Richard M.","contributorId":46409,"corporation":false,"usgs":true,"family":"Herren","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arendt, Michael D.","contributorId":105639,"corporation":false,"usgs":true,"family":"Arendt","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":486855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmid, Jeffrey R.","contributorId":79794,"corporation":false,"usgs":true,"family":"Schmid","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":486849,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meylan, Anne B.","contributorId":36045,"corporation":false,"usgs":true,"family":"Meylan","given":"Anne","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meylan, Peter A.","contributorId":82609,"corporation":false,"usgs":true,"family":"Meylan","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486851,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Provancha, Jane A.","contributorId":56551,"corporation":false,"usgs":true,"family":"Provancha","given":"Jane A.","affiliations":[],"preferred":false,"id":486846,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486840,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486842,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":486841,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486843,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70047259,"text":"70047259 - 2013 - Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","interactions":[],"lastModifiedDate":"2013-11-07T13:08:24","indexId":"70047259","displayToPublicDate":"2013-10-01T12:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","docAbstract":"Spawning salmon deliver annual pulses of marine-derived nutrients (MDN) to riverine ecosystems around the Pacific Rim, leading to increased growth and condition in aquatic and riparian biota. The influence of pulsed resources may last for extended periods of time when recipient food webs have effective storage mechanisms, yet few studies have tracked the seasonal persistence of MDN. With this as our goal, we sampled stream water chemistry and selected stream and riparian biota spring through fall at 18 stations (in six watersheds) that vary widely in spawner abundance and at nine stations (in three watersheds) where salmon runs were blocked by waterfalls. We then developed regression models that related dissolved nutrient concentrations and biochemical measures of MDN assimilation to localized spawner density across these 27 stations. Stream water ammonium-N and orthophosphate-P concentrations increased with spawner density during the summer salmon runs, but responses did not persist into the following fall. The effect of spawner density on δ<sup>15</sup>N in generalist macroinvertebrates and three independent MDN metrics (δ<sup>15</sup>N, δ<sup>34</sup>S, and ω3:ω6 fatty acids) in juvenile Dolly Varden (Salvelinus malma) was positive and similar during each season, indicating that MDN levels in biota increased with spawner abundance and were maintained for at least nine months after inputs. Delta <sup>15</sup>N in a riparian plant, horsetail (Equisetum fluviatile), and scraper macroinvertebrates did not vary with spawner density in any season, suggesting a lack of MDN assimilation by these lower trophic levels. Our results demonstrate the ready assimilation of MDN by generalist consumers and the persistence of this pulsed subsidy in these organisms through the winter and into the next growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00112.1","usgsCitation":"Rinella, D.J., Wipfi, M.S., Walker, C.M., Stricker, C.A., and Heintz, R.A., 2013, Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams: Ecosphere, v. 4, no. 10, 18 p., https://doi.org/10.1890/ES13-00112.1.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-045295","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00112.1","text":"Publisher Index Page"},{"id":278925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00112.1"},{"id":278926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.1705,59.0682 ], [ -152.1705,60.9256 ], [ -148.765,60.9256 ], [ -148.765,59.0682 ], [ -152.1705,59.0682 ] ] ] } } ] }","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-14","publicationStatus":"PW","scienceBaseUri":"527cc494e4b0850ea050ceb7","contributors":{"authors":[{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfi, Mark S.","contributorId":28518,"corporation":false,"usgs":true,"family":"Wipfi","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":481545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heintz, Ron A.","contributorId":101552,"corporation":false,"usgs":true,"family":"Heintz","given":"Ron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048385,"text":"70048385 - 2013 - Characterizing and estimating noise in InSAR and InSAR time series with MODIS","interactions":[],"lastModifiedDate":"2018-10-24T16:50:46","indexId":"70048385","displayToPublicDate":"2013-10-01T11:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing and estimating noise in InSAR and InSAR time series with MODIS","docAbstract":"InSAR time series analysis is increasingly used to image subcentimeter displacement rates of the ground surface. The precision of InSAR observations is often affected by several noise sources, including spatially correlated noise from the turbulent atmosphere. Under ideal scenarios, InSAR time series techniques can substantially mitigate these effects; however, in practice the temporal distribution of InSAR acquisitions over much of the world exhibit seasonal biases, long temporal gaps, and insufficient acquisitions to confidently obtain the precisions desired for tectonic research. Here, we introduce a technique for constraining the magnitude of errors expected from atmospheric phase delays on the ground displacement rates inferred from an InSAR time series using independent observations of precipitable water vapor from MODIS. We implement a Monte Carlo error estimation technique based on multiple (100+) MODIS-based time series that sample date ranges close to the acquisitions times of the available SAR imagery. This stochastic approach allows evaluation of the significance of signals present in the final time series product, in particular their correlation with topography and seasonality. We find that topographically correlated noise in individual interferograms is not spatially stationary, even over short-spatial scales (<10 km). Overall, MODIS-inferred displacements and velocities exhibit errors of similar magnitude to the variability within an InSAR time series. We examine the MODIS-based confidence bounds in regions with a range of inferred displacement rates, and find we are capable of resolving velocities as low as 1.5 mm/yr with uncertainties increasing to ∼6 mm/yr in regions with higher topographic relief.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ggge.20258","usgsCitation":"Barnhart, W.D., and Lohman, R.B., 2013, Characterizing and estimating noise in InSAR and InSAR time series with MODIS: Geochemistry, Geophysics, Geosystems, v. 14, no. 10, p. 4121-4132, https://doi.org/10.1002/ggge.20258.","productDescription":"12 p.","startPage":"4121","endPage":"4132","numberOfPages":"12","ipdsId":"IP-051050","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ggge.20258","text":"Publisher Index Page"},{"id":280998,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ggge.20258"},{"id":280999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-02","publicationStatus":"PW","scienceBaseUri":"53cd50c3e4b0b290850f3882","contributors":{"authors":[{"text":"Barnhart, William D. wbarnhart@usgs.gov","contributorId":5299,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohman, Rowena B.","contributorId":36050,"corporation":false,"usgs":true,"family":"Lohman","given":"Rowena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484492,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147937,"text":"70147937 - 2013 - Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","interactions":[],"lastModifiedDate":"2015-05-11T10:45:24","indexId":"70147937","displayToPublicDate":"2013-10-01T11:45:00","publicationYear":"2013","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":"Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed","docAbstract":"<p>Recent studies suggest that climate change is causing rising solute concentrations in mountain lakes and streams. These changes may be more pronounced in mineralized watersheds due to the sensitivity of sulfide weathering to changes in subsurface oxygen transport. Specific causal mechanisms linking climate change and accelerated weathering rates have been proposed, but in general remain entirely hypothetical. For mineralized watersheds, a favored hypothesis is that falling water tables caused by declining recharge rates allow an increasing volume of sulfide-bearing rock to become exposed to air, thus oxygen. Here, we test the hypothesis that falling water tables are the primary cause of an increase in metals and SO4 (100-400%) observed since 1980 in the Upper Snake River (USR), Colorado. The USR drains an alpine watershed geologically and climatologically representative of many others in mineralized areas of the western U.S. Hydrologic and chemical data collected from 2005 to 2011 in a deep monitoring well (WP1) at the top of the USR watershed are utilized. During this period, both water table depths and groundwater SO4 concentrations have generally increased in the well. A numerical model was constructed using TOUGHREACT that simulates pyrite oxidation near WP1, including groundwater flow and oxygen transport in both saturated and unsaturated zones. The modeling suggests that a falling water table could produce an increase in metals and SO4 of a magnitude similar to that observed in the USR (up to 300%). Future water table declines may produce limited increases in sulfide weathering high in the watershed because of the water table dropping below the depth of oxygen penetration, but may continue to enhance sulfide weathering lower in the watershed where water tables are shallower. Advective air (oxygen) transport in the unsaturated zone caused by seasonally variable recharge and associated water table fluctuations was found to have little influence on pyrite oxidation rates near WP1. However, this mechanism could be important in the case of a shallow dynamic water table and more abundant/reactive sulfides in the shallow subsurface. Data from WP1 and numerical modeling results are thus consistent with the falling water table hypothesis, and illustrate fundamental processes linking climate and sulfide weathering in mineralized watersheds.</p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"New York, NY","doi":"10.1016/j.apgeochem.2013.07.002","usgsCitation":"Manning, A.H., Verplanck, P.L., Caine, J.S., and Todd, A.S., 2013, Links between climate change, water-table depth, and water chemistry in a mineralized mountain watershed: Applied Geochemistry, v. 37, p. 64-78, https://doi.org/10.1016/j.apgeochem.2013.07.002.","productDescription":"15 p.","startPage":"64","endPage":"78","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044072","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":300277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf2","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":546437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Andrew S. atodd@usgs.gov","contributorId":1022,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew","email":"atodd@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":546439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044590,"text":"70044590 - 2013 - Social-ecological predictors of global invasions and extinctions","interactions":[],"lastModifiedDate":"2013-11-14T11:18:53","indexId":"70044590","displayToPublicDate":"2013-10-01T11:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological predictors of global invasions and extinctions","docAbstract":"Most assessments of resilience have been focused on local conditions. Studies focused on the relationship between humanity and environmental degradation are rare, and are rarely comprehensive. We investigated multiple social-ecological factors for 100 countries around the globe in relation to the percentage of invasions and extinctions within each country. These 100 countries contain approximately 87% of the world’s population, produce 43% of the world’s per capita gross domestic product (GDP), and take up 74% of the earth’s total land area. We used an information theoretic approach to determine which models were most supported by our data, utilizing an a priori set of plausible models that included a combination of 15 social-ecological variables, each social-ecological factor by itself, and selected social-ecological factors grouped into three broad classes. These variables were per capita GDP, export-import ratio, tourism, undernourishment, energy efficiency, agricultural intensity, rainfall, water stress, wilderness protection, total biodiversity, life expectancy, adult literacy, pesticide regulation, political stability, and female participation in government. Our results indicate that as total biodiversity and total land area increase, the percentage of endangered birds also increases. As the independent variables (agricultural intensity, rainfall, water stress, and total biodiversity) in the ecological class model increase, the percentage of endangered mammals in a country increases. The percentage of invasive birds and mammals in a country increases as per capita GDP increases. As life expectancy increases, the percentage of invasive and endangered birds and mammals increases. Although our analysis does not determine mechanisms, the patterns observed in this study provide insight into the dynamics of a complex, global, social-ecological system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.5751/ES-05550-180315","usgsCitation":"Lotz, A., and Allen, C.R., 2013, Social-ecological predictors of global invasions and extinctions: Ecology and Society, v. 18, no. 3, 15 p., https://doi.org/10.5751/ES-05550-180315.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-041216","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05550-180315","text":"Publisher Index Page"},{"id":279074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-05550-180315"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528607a4e4b00926c21865b7","contributors":{"authors":[{"text":"Lotz, Aaron","contributorId":105211,"corporation":false,"usgs":true,"family":"Lotz","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":475927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":475926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047293,"text":"70047293 - 2013 - Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","interactions":[],"lastModifiedDate":"2017-01-03T15:04:27","indexId":"70047293","displayToPublicDate":"2013-10-01T11:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A.","docAbstract":"<p>Sand Hollow Reservoir in southwestern Utah, USA, is operated for both surface-water storage and managed aquifer recharge via infiltration from surface basin spreading to the underlying Navajo Sandstone. The total volume of estimated recharge from 2002 through 2011 was 131 Mm<sup>3</sup>., resulting in groundwater levels rising as much as 40 m. Hydraulic and hydrochemical data from the reservoir and various monitoring wells in Sand Hollow were used to evaluate the timing and location or reservoir recharge moving through the aquifer, along either potential clogging from trapped gases in pore throats, siltation, or algal mats. Several hyrdochemical tracers indicated this recharge had arrived at four monitoring wells located within about 300 m of the reservoir by 2012. At these wells, peak total dissolved-gas pressures exceeded two atmospheres (&gt;1,500 mm mercury) and dissolved oxygen approached three times atmospherically equilibrated concentrations (&gt;25 mg/L). these field parameters indicate that large amounts of gas trapped in pore spaces beneath the water table have dissolved. Lesser but notable increases in these dissolved-gas parameters (without increases in other indicators such as chloride-to-bromide ratios) at monitoring wells farther away (&gt;300 m) indicate moderate amounts of in-situ sir entrapment and dissolution caused by the rise in regional groundwater levels. This is confirmed by hydrochemical difference between these sites and wells closer to the reservoir where recharge had already arrived. As the reservoir was being filled by 2002, managed aquifer recharge rates were initially very high (1.5 x 10<sup>-4</sup> cm/s) with the vadose zone becoming saturated beneath and surrounding the reservoir. These rates declined to less than 3.5 x 10<sup>-6</sup> cm/s during 2008. The 2002-08 decrease was likely associated with a declining regional hydraulic gradient and clogging. Increasing recharge rates during mid-2009 through 2010 may have been partly caused by dissolution of air bubbles initially entrapped in the aquifer matrix. Theoretical gas dissolution rates, coupled with field evidence of a decline iin total dissolved-gas pressure and dissolved oxygen from nearby monitoring wells, support the timing of this gas dissipation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Clogging issues associated with managed aquifer recharge methods","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"IAH Commission on Managing Aquifer Recharge","publisherLocation":"Australia","isbn":"9780646908526","usgsCitation":"Heilweil, V.M., and Marston, T., 2013, Evaluation of potential gas clogging associated with managed aquifer recharge from a spreading basin, southwestern Utah, U.S.A., chap. <i>of</i> Clogging issues associated with managed aquifer recharge methods, p. 84-94.","productDescription":"11 p.","startPage":"84","endPage":"94","numberOfPages":"11","ipdsId":"IP-046038","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":278967,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278966,"type":{"id":15,"text":"Index Page"},"url":"https://recharge.iah.org/recharge/clogging.htm"}],"country":"United States","state":"Utah","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.39374,37.101658 ], [ -113.39374,37.127394 ], [ -113.35936,37.127394 ], [ -113.35936,37.101658 ], [ -113.39374,37.101658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e586ae4b02d2057dd95db","contributors":{"authors":[{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marston, Thomas","contributorId":61734,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","affiliations":[],"preferred":false,"id":481652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045854,"text":"70045854 - 2013 - Prescribed-fire effects on an aquatic community of a southwest montane grassland system","interactions":[],"lastModifiedDate":"2013-11-12T10:55:27","indexId":"70045854","displayToPublicDate":"2013-10-01T10:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed-fire effects on an aquatic community of a southwest montane grassland system","docAbstract":"The use of prescription fire has long been recognized as a reliable management tool to suppress vegetative succession processes and to reduce fuel loading to prevent catastrophic wildfires, but very little attention has been paid to the effects on aquatic systems. A late-fall prescribed burn was implemented to characterize effects on an aquatic community within a montane grassland system in north-central New Mexico. The fire treatment was consistent with protocols of a managed burn except that the fire was allowed to burn through the riparian area to the treatment stream to replicate natural fire behavior. In addition to summer and fall preburn assessment of the treatment and reference stream, we characterized immediate postfire effects (within a week for macroinvertebrates and within 6 months for fish) and seasonal effects over a 2-year period. Responses within the treatment stream were compared with an unburned reference stream adjacent to the prescription burn. During the burn, the diel range in air temperature increased by 5°C while diel range in water temperature did not change. Carbon–nitrogen ratios did not differ between treatment and reference streams, indicating the contribution of ash from the surrounding grassland was negligible. Although total taxa and species richness of aquatic macroinvertebrates were not altered, qualitative indices revealed departure from preburn condition due to loss of sensitive taxa (mayflies [order Ephemeroptera] and stoneflies [order Plecoptera]) and an increase in tolerant taxa (midges [order Chironomidae]) following the burn. Within 1 year of the burn, these attributes returned to preburn conditions. The density and recruitment of adult Brown Trout Salmo trutta did not differ between pre- and postburn collections, nor did fish condition differ. Fire is rarely truly replicated within a given study. Although our study represents one replication, the results will inform managers about the importance in timing (seasonality) of prescription burn and anticipated effects on aquatic communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.824934","usgsCitation":"Caldwell, C.A., Jacobi, G.Z., Anderson, M.C., Parmenter, R.R., McGann, J., Gould, W., DuBey, R., and Jacobi, M.D., 2013, Prescribed-fire effects on an aquatic community of a southwest montane grassland system: North American Journal of Fisheries Management, v. 33, no. 5, p. 1049-1062, https://doi.org/10.1080/02755947.2013.824934.","productDescription":"14 p.","startPage":"1049","endPage":"1062","numberOfPages":"14","ipdsId":"IP-040830","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":279004,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.824934"},{"id":279006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.622314,35.827 ], [ -106.622314,36.009395 ], [ -106.398983,36.009395 ], [ -106.398983,35.827 ], [ -106.622314,35.827 ] ] ] } } ] }","volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-03","publicationStatus":"PW","scienceBaseUri":"52835c24e4b047efbbb4ae62","contributors":{"authors":[{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, Gerald Z.","contributorId":86837,"corporation":false,"usgs":true,"family":"Jacobi","given":"Gerald","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":478434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael C.","contributorId":38887,"corporation":false,"usgs":true,"family":"Anderson","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parmenter, Robert R.","contributorId":88643,"corporation":false,"usgs":true,"family":"Parmenter","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGann, Jeanine","contributorId":76637,"corporation":false,"usgs":true,"family":"McGann","given":"Jeanine","email":"","affiliations":[],"preferred":false,"id":478433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":478432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuBey, Robert","contributorId":60113,"corporation":false,"usgs":true,"family":"DuBey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":478431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobi, M. Donna","contributorId":6365,"corporation":false,"usgs":true,"family":"Jacobi","given":"M.","email":"","middleInitial":"Donna","affiliations":[],"preferred":false,"id":478429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70055612,"text":"70055612 - 2013 - Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape","interactions":[],"lastModifiedDate":"2013-11-14T10:56:58","indexId":"70055612","displayToPublicDate":"2013-10-01T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape","docAbstract":"Coastal Louisiana is a dynamic and ever-changing landscape. From 1956 to 2010, over 3,734 km<sup>2</sup> of Louisiana's coastal wetlands have been lost due to a combination of natural and human-induced activities. The resulting landscape constitutes a mosaic of conditions from highly deteriorated to relatively stable with intact landmasses. Understanding how and why coastal landscapes change over time is critical to restoration and rehabilitation efforts. Historically, changes in marsh pattern (i.e., size and spatial distribution of marsh landmasses and water bodies) have been distinguished using visual identification by individual researchers. Difficulties associated with this approach include subjective interpretation, uncertain reproducibility, and laborious techniques. In order to minimize these limitations, this study aims to expand existing tools and techniques via a computer-based method, which uses geospatial technologies for determining shifts in landscape patterns. Our method is based on a raster framework and uses landscape statistics to develop conditions and thresholds for a marsh classification scheme. The classification scheme incorporates land and water classified imagery and a two-part classification system: (1) ratio of water to land, and (2) configuration and connectivity of water within wetland landscapes to evaluate changes in marsh patterns. This analysis system can also be used to trace trajectories in landscape patterns through space and time. Overall, our method provides a more automated means of quantifying landscape patterns and may serve as a reliable landscape evaluation tool for future investigations of wetland ecosystem processes in the northern Gulf of Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-010.1","usgsCitation":"Suir, G.M., Evers, D.E., Steyer, G.D., and Sasser, C.E., 2013, Development of a reproducible method for determining quantity of water and its configuration in a marsh landscape: Journal of Coastal Research, no. 63, p. 110-117, https://doi.org/10.2112/SI63-010.1.","productDescription":"8 p.","startPage":"110","endPage":"117","numberOfPages":"8","ipdsId":"IP-026659","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":279071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279051,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-010.1"}],"country":"United States","state":"Louisiana","otherGeospatial":"Houma Navigation Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.3734,29.0119 ], [ -92.3734,30.1278 ], [ -90.5521,30.1278 ], [ -90.5521,29.0119 ], [ -92.3734,29.0119 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5286079de4b00926c2186565","contributors":{"authors":[{"text":"Suir, Glenn M.","contributorId":103558,"corporation":false,"usgs":true,"family":"Suir","given":"Glenn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, D. Elaine","contributorId":98448,"corporation":false,"usgs":true,"family":"Evers","given":"D.","email":"","middleInitial":"Elaine","affiliations":[],"preferred":false,"id":486148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":486146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sasser, Charles E.","contributorId":86858,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486147,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70057600,"text":"70057600 - 2013 - Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions","interactions":[],"lastModifiedDate":"2023-06-02T16:55:36.122562","indexId":"70057600","displayToPublicDate":"2013-10-01T10:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":723,"text":"American Journal of Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions","docAbstract":"The concentrations of the rare earth elements (REE) in surface waters and sediments, when normalized on an element-by-element basis to one of several rock standards and plotted versus atomic number, yield curves that reveal their partitioning between different sediment fractions and the sources of those fractions, for example, between terrestrial-derived lithogenous debris and seawater-derived biogenous detritus and hydrogenous metal oxides. The REE of ancient sediments support their partitioning into these same fractions and further contribute to the identification of the redox geochemistry of the sea water in which the sediments accumulated. The normalized curves of the REE that have been examined in several South American wine varietals can be interpreted to reflect the lithology of the bedrock on which the vines may have been grown, suggesting limited fractionation during soil development.","language":"English","publisher":"Scientific Research Publishing Inc.","doi":"10.4236/ajac.2013.410A1009","usgsCitation":"Piper, D.Z., and Bau, M., 2013, Normalized rare earth elements in water, sediments, and wine: identifying sources and environmental redox conditions: American Journal of Analytical Chemistry, v. 4, no. 10A, p. 69-83, https://doi.org/10.4236/ajac.2013.410A1009.","productDescription":"15 p.","startPage":"69","endPage":"83","ipdsId":"IP-050753","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473507,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ajac.2013.410a1009","text":"Publisher Index Page"},{"id":279787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"10A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295d128e4b0becc369c8c8a","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":486834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bau, Michael","contributorId":103174,"corporation":false,"usgs":true,"family":"Bau","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047017,"text":"70047017 - 2013 - Global change and water availability and quality: Challenges ahead","interactions":[],"lastModifiedDate":"2022-12-13T17:08:28.772656","indexId":"70047017","displayToPublicDate":"2013-10-01T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.2","title":"Global change and water availability and quality: Challenges ahead","docAbstract":"<p><span>The US is in the midst of a continental scale, multiyear water resources experiment. What are we doing? We are expanding population at two to three times the national growth rate, particularly where water stress is already great. We are expanding irrigated agriculture from the west to the east, where increased competition for water has urban, agricultural, and environmental interests at odds, and increasingly, in court. This experiment and related challenges will continue and likely intensify as nonclimatic and climatic factors, such as predicted rising temperature and changes in the distribution of precipitation in time and space, continue to develop.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive water quality and purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00009-8","usgsCitation":"Larsen, M.C., 2013, Global change and water availability and quality: Challenges ahead, chap. 1.2 <i>of</i> Comprehensive water quality and purification, v. 1, p. 11-20, https://doi.org/10.1016/B978-0-12-382182-9.00009-8.","productDescription":"10 p.","startPage":"11","endPage":"20","ipdsId":"IP-049235","costCenters":[],"links":[{"id":280815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c77e4b0b29085104913","contributors":{"editors":[{"text":"Ahuja, Satinder","contributorId":112819,"corporation":false,"usgs":false,"family":"Ahuja","given":"Satinder","email":"","affiliations":[],"preferred":false,"id":509350,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":480861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70129606,"text":"70129606 - 2013 - Temporal dynamics of biogeochemical processes at the Norman Landfill site","interactions":[],"lastModifiedDate":"2014-10-24T10:18:38","indexId":"70129606","displayToPublicDate":"2013-10-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Temporal dynamics of biogeochemical processes at the Norman Landfill site","docAbstract":"The temporal variability observed in redox sensitive species in groundwater can be attributed to coupled hydrological, geochemical, and microbial processes. These controlling processes are typically nonstationary, and distributed across various time scales. Therefore, the purpose of this study is to investigate biogeochemical data sets from a municipal landfill site to identify the dominant modes of variation and determine the physical controls that become significant at different time scales. Data on hydraulic head, specific conductance, δ2H, chloride, sulfate, nitrate, and nonvolatile dissolved organic carbon were collected between 1998 and 2000 at three wells at the Norman Landfill site in Norman, OK. Wavelet analysis on this geochemical data set indicates that variations in concentrations of reactive and conservative solutes are strongly coupled to hydrologic variability (water table elevation and precipitation) at 8 month scales, and to individual eco-hydrogeologic framework (such as seasonality of vegetation, surface-groundwater dynamics) at 16 month scales. Apart from hydrologic variations, temporal variability in sulfate concentrations can be associated with different sources (FeS cycling, recharge events) and sinks (uptake by vegetation) depending on the well location and proximity to the leachate plume. Results suggest that nitrate concentrations show multiscale behavior across temporal scales for different well locations, and dominant variability in dissolved organic carbon for a closed municipal landfill can be larger than 2 years due to its decomposition and changing content. A conceptual framework that explains the variability in chemical concentrations at different time scales as a function of hydrologic processes, site-specific interactions, and/or coupled biogeochemical effects is also presented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20484","usgsCitation":"Arora, B., Mohanty, B., McGuire, J.T., and Cozzarelli, I.M., 2013, Temporal dynamics of biogeochemical processes at the Norman Landfill site: Water Resources Research, v. 49, no. 10, p. 6909-6926, https://doi.org/10.1002/wrcr.20484.","productDescription":"18 p.","startPage":"6909","endPage":"6926","numberOfPages":"18","ipdsId":"IP-045237","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20484","text":"Publisher Index Page"},{"id":295712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295704,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20484"}],"country":"United States","state":"Oklahoma","city":"Norman","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-24","publicationStatus":"PW","scienceBaseUri":"544b6a31e4b03653c63fb1e9","contributors":{"authors":[{"text":"Arora, Bhavna","contributorId":66191,"corporation":false,"usgs":true,"family":"Arora","given":"Bhavna","affiliations":[],"preferred":false,"id":503906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohanty, Binayak P.","contributorId":52509,"corporation":false,"usgs":true,"family":"Mohanty","given":"Binayak P.","affiliations":[],"preferred":false,"id":503905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jennifer T.","contributorId":42155,"corporation":false,"usgs":true,"family":"McGuire","given":"Jennifer","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":503904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":503903,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046084,"text":"70046084 - 2013 - Effect of correlated observation error on parameters, predictions, and uncertainty","interactions":[],"lastModifiedDate":"2018-04-02T15:33:11","indexId":"70046084","displayToPublicDate":"2013-10-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effect of correlated observation error on parameters, predictions, and uncertainty","docAbstract":"Correlations among observation errors are typically omitted when calculating observation weights for model calibration by inverse methods. We explore the effects of omitting these correlations on estimates of parameters, predictions, and uncertainties. First, we develop a new analytical expression for the difference in parameter variance estimated with and without error correlations for a simple one-parameter two-observation inverse model. Results indicate that omitting error correlations from both the weight matrix and the variance calculation can either increase or decrease the parameter variance, depending on the values of error correlation (ρ) and the ratio of dimensionless scaled sensitivities (r<sub>dss</sub>). For small ρ, the difference in variance is always small, but for large ρ, the difference varies widely depending on the sign and magnitude of r<sub>dss</sub>. Next, we consider a groundwater reactive transport model of denitrification with four parameters and correlated geochemical observation errors that are computed by an error-propagation approach that is new for hydrogeologic studies. We compare parameter estimates, predictions, and uncertainties obtained with and without the error correlations. Omitting the correlations modestly to substantially changes parameter estimates, and causes both increases and decreases of parameter variances, consistent with the analytical expression. Differences in predictions for the models calibrated with and without error correlations can be greater than parameter differences when both are considered relative to their respective confidence intervals. These results indicate that including observation error correlations in weighting for nonlinear regression can have important effects on parameter estimates, predictions, and their respective uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20499","usgsCitation":"Tiedeman, C.R., and Green, C.T., 2013, Effect of correlated observation error on parameters, predictions, and uncertainty: Water Resources Research, v. 49, no. 10, p. 6339-6355, https://doi.org/10.1002/wrcr.20499.","productDescription":"17 p.","startPage":"6339","endPage":"6355","numberOfPages":"17","onlineOnly":"Y","ipdsId":"IP-045884","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20499","text":"Publisher Index Page"},{"id":278960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20499"}],"volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"527e5869e4b02d2057dd95d2","contributors":{"authors":[{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":478853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074641,"text":"70074641 - 2013 - Influence of dissolved organic matter character on mercury incorporation by planktonic organisms: an experimental study using oligotrophic water from Patagonian lakes","interactions":[],"lastModifiedDate":"2014-01-31T09:30:32","indexId":"70074641","displayToPublicDate":"2013-10-01T09:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2267,"text":"Journal of Environmental Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Influence of dissolved organic matter character on mercury incorporation by planktonic organisms: an experimental study using oligotrophic water from Patagonian lakes","docAbstract":"Ligands present in dissolved organic matter (DOM) form complexes with inorganic divalent mercury (Hg<sup>2+</sup>) affecting its bioavailability in pelagic food webs. This investigation addresses the influence of a natural gradient of DOM present in Patagonian lakes on the bioaccumulation of Hg<sup>2+</sup> (the prevailing mercury species in the water column of these lakes) by the algae Cryptomonas erosa and the zooplankters Brachionus calyciflorus and Boeckella antiqua. Hg<sup>2+</sup> accumulation was studied through laboratory experiments using natural water of four oligotrophic Patagonian lakes amended with<sup>197</sup>Hg<sup>2+</sup>. The bioavailability of Hg<sup>2+</sup> was affected by the concentration and character of DOM. The entrance of Hg<sup>2+</sup> into pelagic food webs occurs mostly through passive and active accumulation. The incorporation of Hg<sup>2+</sup> by Cryptomonas, up to 27% of the Hg<sup>2+</sup> amended, was found to be rapid and dominated by passive adsorption, and was greatest when low molecular weight compounds with protein-like or small phenolic signatures prevailed in the DOM. Conversely, high molecular weight compounds with a humic or fulvic signature kept Hg<sup>2+</sup> in the dissolved phase, resulting in the lowest Hg<sup>2+</sup> accumulation in this algae. In Brachionus and Boeckella the direct incorporation of Hg from the aqueous phase was up to 3% of the Hg<sup>2+</sup> amended. The dietary incorporation of Hg<sup>2+</sup> by Boeckella exceeded the direct absorption of this metal in natural water, and was remarkably similar to the Hg<sup>2+</sup> adsorbed in their prey. Overall, DOM concentration and character affected the adsorption of Hg<sup>2+</sup> by algae through competitive binding, while the incorporation of Hg<sup>2+</sup> into the zooplankton was dominated by trophic or dietary transfer.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/S1001-0742(12)60281-2","usgsCitation":"Dieguez, M.C., Queimalinos, C.P., Guevara, S.R., Marvin-DiPasquale, M.C., Cardenas, C.S., and Arribere, M.A., 2013, Influence of dissolved organic matter character on mercury incorporation by planktonic organisms: an experimental study using oligotrophic water from Patagonian lakes: Journal of Environmental Sciences, v. 25, no. 10, p. 1980-1991, https://doi.org/10.1016/S1001-0742(12)60281-2.","productDescription":"11 p.","startPage":"1980","endPage":"1991","numberOfPages":"11","ipdsId":"IP-044686","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473514,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/6715","text":"External Repository"},{"id":281789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281788,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S1001-0742(12)60281-2"}],"country":"Argentina","otherGeospatial":"Patagonia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.73,-55.98 ], [ -75.73,-32.95 ], [ -58.09,-32.95 ], [ -58.09,-55.98 ], [ -75.73,-55.98 ] ] ] } } ] }","volume":"25","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd627be4b0b290850fe372","contributors":{"authors":[{"text":"Dieguez, Maria C.","contributorId":41336,"corporation":false,"usgs":true,"family":"Dieguez","given":"Maria","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Queimalinos, Claudia P.","contributorId":23437,"corporation":false,"usgs":true,"family":"Queimalinos","given":"Claudia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":489645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guevara, Sergio Ribeiro","contributorId":28506,"corporation":false,"usgs":true,"family":"Guevara","given":"Sergio","email":"","middleInitial":"Ribeiro","affiliations":[],"preferred":false,"id":489646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":489643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cardenas, Carolina Soto","contributorId":14730,"corporation":false,"usgs":true,"family":"Cardenas","given":"Carolina","email":"","middleInitial":"Soto","affiliations":[],"preferred":false,"id":489644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arribere, Maria A.","contributorId":58538,"corporation":false,"usgs":true,"family":"Arribere","given":"Maria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489648,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70067711,"text":"70067711 - 2013 - Photometric properties of Mars soils analogs","interactions":[],"lastModifiedDate":"2014-01-09T09:12:25","indexId":"70067711","displayToPublicDate":"2013-10-01T09:04:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Photometric properties of Mars soils analogs","docAbstract":"We have measured the bidirectional reflectance of analogs of dry, wet, and frozen Martian soils over a wide range of phase angles in the visible spectral range. All samples were produced from two geologic samples: the standard JSC Mars-1 soil simulant and Hawaiian basaltic sand. In a first step, experiments were conducted with the dry samples to investigate the effects of surface texture. Comparisons with results independently obtained by different teams with similar samples showed a satisfying reproducibility of the photometric measurements as well as a noticeable influence of surface textures resulting from different sample preparation procedures. In a second step, water was introduced to produce wet and frozen samples and their photometry investigated. Optical microscope images of the samples provided information about their microtexture. Liquid water, even in relatively low amount, resulted in the disappearance of the backscattering peak and the appearance of a forward-scattering peak whose intensity increases with the amount of water. Specular reflections only appeared when water was present in an amount large enough to allow water to form a film at the surface of the sample. Icy samples showed a wide variability of photometric properties depending on the physical properties of the water ice. We discuss the implications of these measurements in terms of the expected photometric behavior of the Martian surface, from equatorial to circum-polar regions. In particular, we propose some simple photometric criteria to improve the identification of wet and/or icy soils from multiple observations under different geometries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgre.20158","usgsCitation":"Pommerol, A., Thomas, N., Jost, B., Beck, P., Okubo, C., and McEwen, A.S., 2013, Photometric properties of Mars soils analogs: Journal of Geophysical Research E: Planets, v. 118, no. 10, p. 2045-2072, https://doi.org/10.1002/jgre.20158.","productDescription":"28 p.","startPage":"2045","endPage":"2072","ipdsId":"IP-044935","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473516,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://boris.unibe.ch/45644/","text":"External Repository"},{"id":280785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280784,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgre.20158"}],"otherGeospatial":"Mars","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 0.01888888888888889,-60 ], [ 0.01888888888888889,0.0016666666666666668 ], [ -0.014444444444444444,0.0016666666666666668 ], [ -0.014444444444444444,-60 ], [ 0.01888888888888889,-60 ] ] ] } } ] }","volume":"118","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-03","publicationStatus":"PW","scienceBaseUri":"53cd6b61e4b0b29085103e1f","contributors":{"authors":[{"text":"Pommerol, A.","contributorId":70675,"corporation":false,"usgs":true,"family":"Pommerol","given":"A.","affiliations":[],"preferred":false,"id":488003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, N.","contributorId":72490,"corporation":false,"usgs":true,"family":"Thomas","given":"N.","email":"","affiliations":[],"preferred":false,"id":488004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jost, B.","contributorId":37247,"corporation":false,"usgs":true,"family":"Jost","given":"B.","email":"","affiliations":[],"preferred":false,"id":488001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, P.","contributorId":43700,"corporation":false,"usgs":true,"family":"Beck","given":"P.","affiliations":[],"preferred":false,"id":488002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, C.","contributorId":91699,"corporation":false,"usgs":true,"family":"Okubo","given":"C.","email":"","affiliations":[],"preferred":false,"id":488005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, A. S.","contributorId":11317,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":488000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046079,"text":"70046079 - 2013 - Degree-day accumulation influences annual variability in growth of age-0 walleye","interactions":[],"lastModifiedDate":"2013-11-08T09:39:49","indexId":"70046079","displayToPublicDate":"2013-10-01T09:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Degree-day accumulation influences annual variability in growth of age-0 walleye","docAbstract":"The growth of age-0 fishes influences survival, especially in temperate regions where size-dependent over-winter mortality can be substantial. Additional benefits of earlier maturation and greater fecundity may exist for faster growing individuals. This study correlated prey densities, growing-degree days, water-surface elevation, turbidity, and chlorophyll a with age-0 walleye Sander vitreus growth in a south-central Nebraska irrigation reservoir. Growth of age-0 walleye was variable between 2003 and 2011, with mean lengths ranging from 128 to 231 mm by fall (September 30th–October 15th). A set of a priori candidate models were used to assess the relative support of explanatory variables using Akaike's information criterion (AIC). A temperature model using the growing degree-days metric was the best supported model, describing 65% of the variability in annual mean lengths of age-0 walleye. The second and third best supported models included the variables chlorophyll a (r<sup>2</sup> = 0.49) and larval freshwater drum density (r<sup>2</sup> = 0.45), respectively. There have been mixed results concerning the importance of temperature effects on growth of age-0 walleye. This study supports the hypothesis that temperature is the most important predictor of age-0 walleye growth near the southwestern limits of its natural range.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2013.05.010","usgsCitation":"Uphoff, C.S., Schoenebeck, C.W., Hoback, W.W., Koupal, K.D., and Pope, K.L., 2013, Degree-day accumulation influences annual variability in growth of age-0 walleye: Fisheries Research, v. 147, p. 394-398, https://doi.org/10.1016/j.fishres.2013.05.010.","productDescription":"5 p.","startPage":"394","endPage":"398","numberOfPages":"5","ipdsId":"IP-042078","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":278957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278956,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2013.05.010"}],"country":"United States","state":"Nebraska","otherGeospatial":"Henry County Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.393753,40.017068 ], [ -99.393753,40.098484 ], [ -99.210365,40.098484 ], [ -99.210365,40.017068 ], [ -99.393753,40.017068 ] ] ] } } ] }","volume":"147","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e5868e4b02d2057dd95cd","contributors":{"authors":[{"text":"Uphoff, Christopher S.","contributorId":19073,"corporation":false,"usgs":true,"family":"Uphoff","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenebeck, Casey W.","contributorId":94201,"corporation":false,"usgs":true,"family":"Schoenebeck","given":"Casey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoback, W. Wyatt","contributorId":30130,"corporation":false,"usgs":true,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[],"preferred":false,"id":478844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koupal, Keith D.","contributorId":37592,"corporation":false,"usgs":true,"family":"Koupal","given":"Keith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047452,"text":"70047452 - 2013 - Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency","interactions":[],"lastModifiedDate":"2014-01-24T09:27:16","indexId":"70047452","displayToPublicDate":"2013-10-01T08:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency","docAbstract":"Runoff during intense rainstorms plays a major role in generating debris flows in many alpine areas and burned steeplands. Yet compared to debris flow initiation from shallow landslides, the mechanics by which runoff generates a debris flow are less understood. To better understand debris flow initiation by surface water runoff, we monitored flow stage and rainfall associated with debris flows in the headwaters of two small catchments: a bedrock-dominated alpine basin in central Colorado (0.06 km<sup>2</sup>) and a recently burned area in southern California (0.01 km<sup>2</sup>). We also obtained video footage of debris flow initiation and flow dynamics from three cameras at the Colorado site. Stage observations at both sites display distinct patterns in debris flow surge characteristics relative to rainfall intensity (I). We observe small, quasiperiodic surges at low I; large, quasiperiodic surges at intermediate I; and a single large surge followed by small-amplitude fluctuations about a more steady high flow at high I. Video observations of surge formation lead us to the hypothesis that these flow patterns are controlled by upstream variations in channel slope, in which low-gradient sections act as “sediment capacitors,” temporarily storing incoming bed load transported by water flow and periodically releasing the accumulated sediment as a debris flow surge. To explore this hypothesis, we develop a simple one-dimensional morphodynamic model of a sediment capacitor that consists of a system of coupled equations for water flow, bed load transport, slope stability, and mass flow. This model reproduces the essential patterns in surge magnitude and frequency with rainfall intensity observed at the two field sites and provides a new framework for predicting the runoff threshold for debris flow initiation in a burned or alpine setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrf.20148","usgsCitation":"Kean, J.W., McCoy, S.W., Tucker, G., Staley, D.M., and Coe, J.A., 2013, Runoff-generated debris flows: observations and modeling of surge initiation, magnitude, and frequency: Journal of Geophysical Research F: Earth Surface, v. 118, no. 4, p. 2190-2207, https://doi.org/10.1002/jgrf.20148.","productDescription":"18 p.","startPage":"2190","endPage":"2207","numberOfPages":"18","ipdsId":"IP-050012","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":279014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279012,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20148"}],"country":"United States","state":"California;Colorado","otherGeospatial":"Arroyo Seco;Chalk Cliffs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.23,34.08 ], [ -118.23,39.08 ], [ -105.79,39.08 ], [ -105.79,34.08 ], [ -118.23,34.08 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"52835c25e4b047efbbb4ae75","contributors":{"authors":[{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":482065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Scott W.","contributorId":94954,"corporation":false,"usgs":true,"family":"McCoy","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":482067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":482066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":482064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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