{"pageNumber":"166","pageRowStart":"4125","pageSize":"25","recordCount":10462,"records":[{"id":70046013,"text":"70046013 - 2013 - Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling","interactions":[],"lastModifiedDate":"2013-05-18T17:17:27","indexId":"70046013","displayToPublicDate":"2013-05-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling","docAbstract":"Many tidally influenced freshwater forested wetlands (tidal swamps) along the south Atlantic coast of the USA are currently undergoing dieback and decline. Salinity often drives conversion of tidal swamps to marsh, especially under conditions of regional drought. During this change, alterations in nitrogen (N) uptake from dominant vegetation or timing of N recycling from the canopy during annual litter senescence may help to facilitate marsh encroachment by providing for greater bioavailable N with small increases in salinity. To monitor these changes along with shifts in stand productivity, we established sites along two tidal swamp landscape transects on the lower reaches of the Waccamaw River (South Carolina) and Savannah River (Georgia) representing freshwater (≤0.1 psu), low oligohaline (1.1–1.6 psu), and high oligohaline (2.6–4.1 psu) stands; the latter stands have active marsh encroachment. Aboveground tree productivity was monitored on all sites through monthly litterfall collection and dendrometer band measurements from 2005 to 2009. Litterfall samples were pooled by season and analyzed for total N and carbon (C). On average between the two rivers, freshwater, low oligohaline, and high oligohaline tidal swamps returned 8,126, 3,831, and 1,471 mg N m<sup>−2</sup> year<sup>−1</sup>, respectively, to the forest floor through litterfall, with differences related to total litterfall volume rather than foliar N concentrations. High oligohaline sites were most inconsistent in patterns of foliar N concentrations and N loading from the canopy. Leaf N content generally decreased and foliar C/N generally increased with salinization (excepting one site), with all sites being fairly inefficient in resorbing N from leaves prior to senescence. Stands with higher salinity also had greater flood frequency and duration, lower basal area increments, lower tree densities, higher numbers of dead or dying trees, and much reduced leaf litter fall (103 vs. 624 g m<sup>−2</sup> year<sup>−1</sup>) over the five study years. Our data suggest that alternative processes, such as the rate of decomposition and potential for N mineralization, on tidal swamp sites undergoing salinity-induced state change may be more important for controlling N biogeochemical cycling in soils than differences among sites in N loading via litterfall.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-012-9505-z","usgsCitation":"Cormier, N., Krauss, K.W., and Conner, W.H., 2013, Periodicity in stem growth and litterfall in tidal freshwater forested wetlands: influence of salinity and drought on nitrogen recycling: Estuaries and Coasts, v. 36, no. 3, p. 533-546, https://doi.org/10.1007/s12237-012-9505-z.","productDescription":"14 p.","startPage":"533","endPage":"546","ipdsId":"IP-027147","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":272379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-012-9505-z"}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-04","publicationStatus":"PW","scienceBaseUri":"5198951ae4b0eb382b44ac5b","contributors":{"authors":[{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":478688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":478690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046006,"text":"70046006 - 2013 - Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California","interactions":[],"lastModifiedDate":"2013-05-17T12:42:27","indexId":"70046006","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California","docAbstract":"The Fort Sage Mountains fault zone is a normal fault in the Walker Lane of the western Basin and Range that produced a small surface rupture (<20  cm) during an M<sub>L</sub> 5.6 earthquake in 1950. We investigate the paleoseismic history of the Fort Sage fault and find evidence for two paleoearthquakes with surface displacements much larger than those observed in 1950. Rupture of the Fort Sage fault ∼5.6  ka resulted in surface displacements of at least 0.8–1.5 m, implying earthquake moment magnitudes (M<sub>w</sub>) of 6.7–7.1. An older rupture at ∼20.5  ka displaced the ground at least 1.5 m, implying an earthquake of M<sub>w</sub> 6.8–7.1. A field of precariously balanced rocks (PBRs) is located less than 1 km from the surface‐rupture trace of this Holocene‐active normal fault. Ground‐motion prediction equations (GMPEs) predict peak ground accelerations (PGAs) of 0.2–0.3g for the 1950 rupture and 0.3–0.5g for the ∼5.6  ka paleoearthquake one kilometer from the fault‐surface trace, yet field tests indicate that the Fort Sage PBRs will be toppled by PGAs between 0.1–0.3g. We discuss the paleoseismic history of the Fort Sage fault in the context of the nearby PBRs, GMPEs, and probabilistic seismic hazard maps for extensional regimes. If the Fort Sage PBRs are older than the mid‐Holocene rupture on the Fort Sage fault zone, this implies that current GMPEs may overestimate near‐fault footwall ground motions at this site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110313","usgsCitation":"Briggs, R., Wesnousky, S.G., Brune, J.N., Purvance, M.D., and Mahan, S., 2013, Low footwall accelerations and variable surface rupture behavior on the Fort Sage Mountains fault, northeast California: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 157-168, https://doi.org/10.1785/0120110313.","productDescription":"12 p.","startPage":"157","endPage":"168","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272346,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110313"}],"country":"United States","state":"California","otherGeospatial":"Fort Sage Mountains Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"51974366e4b09a9cb58d5eda","contributors":{"authors":[{"text":"Briggs, Richard W.","contributorId":94027,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard W.","affiliations":[],"preferred":false,"id":478679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesnousky, Steven G.","contributorId":68197,"corporation":false,"usgs":true,"family":"Wesnousky","given":"Steven","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":478676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brune, James N.","contributorId":76304,"corporation":false,"usgs":true,"family":"Brune","given":"James","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":478677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purvance, Matthew D.","contributorId":92564,"corporation":false,"usgs":true,"family":"Purvance","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":478675,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043361,"text":"70043361 - 2013 - Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","interactions":[],"lastModifiedDate":"2013-05-14T09:17:57","indexId":"70043361","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China","docAbstract":"The ever-increasing demand for water due to growth of population and socioeconomic development in the past several decades has posed a worldwide threat to water supply security and to the environmental health of rivers. This study aims to derive reservoir operating rules through establishing a multi-objective optimization model for the Xinfengjiang (XFJ) reservoir in the East River Basin in southern China to minimize water supply deficit and maximize hydropower generation. Additionally, to enhance the estimation of irrigation water demand from the downstream agricultural area of the XFJ reservoir, a conventional method for calculating crop water demand is improved using hydrological model simulation results. Although the optimal reservoir operating rules are derived for the XFJ reservoir with three priority scenarios (water supply only, hydropower generation only, and equal priority), the river environmental health is set as the basic demand no matter which scenario is adopted. The results show that the new rules derived under the three scenarios can improve the reservoir operation for both water supply and hydropower generation when comparing to the historical performance. Moreover, these alternative reservoir operating policies provide the flexibility for the reservoir authority to choose the most appropriate one. Although changing the current operating rules may influence its hydropower-oriented functions, the new rules can be significant to cope with the increasingly prominent water shortage and degradation in the aquatic environment. Overall, our results and methods (improved estimation of irrigation water demand and formulation of the reservoir optimization model) can be useful for local watershed managers and valuable for other researchers worldwide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2012.10.016","usgsCitation":"Wu, Y., and Chen, J., 2013, Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China: Agricultural Water Management, v. 116, p. 110-121, https://doi.org/10.1016/j.agwat.2012.10.016.","productDescription":"12 p.","startPage":"110","endPage":"121","ipdsId":"IP-041608","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2012.10.016"}],"country":"China","otherGeospatial":"Xinfengjiang Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 114.3728,23.7144 ], [ 114.3728,24.1164 ], [ 114.7686,24.1164 ], [ 114.7686,23.7144 ], [ 114.3728,23.7144 ] ] ] } } ] }","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5804e4b0b290850f7d16","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Ji","contributorId":101960,"corporation":false,"usgs":true,"family":"Chen","given":"Ji","email":"","affiliations":[],"preferred":false,"id":473462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043750,"text":"70043750 - 2013 - Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","interactions":[],"lastModifiedDate":"2013-10-23T10:05:21","indexId":"70043750","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities","docAbstract":"Evapotranspiration (ET) and other water balance components were estimated for Cienega de Santa Clara, an anthropogenic brackish wetland in the delta of the Colorado River in Mexico. The marsh is in the Biosphere Reserve of the Upper Gulf of California and Delta of the Colorado River, and supports a high abundance and diversity of wildlife. Over 95% of its water supply originates as agricultural drain water from the USA, sent for disposal in Mexico. This study was conducted from 2009 to 2011, before, during and after a trial run of the Yuma Desalting Plant in the USA, which will divert water from the wetland and replace it with brine from the desalting operation. The goal was to estimate the main components in the water budget to be used in creating management scenarios for this marsh. We used a remote sensing algorithm to estimate ET from meteorological data and Enhanced Vegetation Index values from the Moderate Resolution Imaging Spectrometer (MODIS) sensors on the Terra satellite. ET estimates from the MODIS method were then compared to results from a mass balance of water and salt inflows and outflows over the study period. By both methods, mean annual ET estimates ranged from 2.6 to 3.0 mm d<sup>−1</sup>, or 50 to 60% of reference ET (ET<sub>o</sub>). Water entered at a mean salinity of 2.6 g L<sup>−1</sup> TDS and mean salinity in the wetland was 3.73 g L<sup>−1</sup> TDS over the 33 month study period. Over an annual cycle, 54% of inflows supported ET while the rest exited the marsh as outflows; however, in winter when ET was low, up to 90% of the inflows exited the marsh. An analysis of ET estimates over the years 2000–2011 showed that annual ET was proportional to the volume of inflows, but was also markedly stimulated by fires. Spring fires in 2006 and 2011 burned off accumulated thatch, resulting in vigorous growth of new leaves and a 30% increase in peak summer ET compared to non-fire years. Following fires, peak summer ET estimates were equal to ET<sub>o</sub>, while in non-fire years peak ET was equal to only one-half to two-thirds of ET<sub>o</sub>. Over annual cycles, estimated ET was always lower than ET<sub>o</sub>, because T. domingensis is dormant in winter and shades the water surface, reducing direct evaporation. Thus, ET of a Typha marsh is likely to be less than an open water surface under most conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.06.043","usgsCitation":"Glenn, E.P., Mexicano, L., Garcia-Hernandez, J., Nagler, P.L., Gomez-Sapiens, M.M., Tang, D., Lomeli, M.A., Ramírez-Hernández, J., and Zamora-Arroyo, F., 2013, Evapotranspiration and water balance of an anthropogenic coastal desert wetland: responses to fire, inflows and salinities: Ecological Engineering, v. 59, p. 176-184, https://doi.org/10.1016/j.ecoleng.2012.06.043.","productDescription":"9 p.","startPage":"176","endPage":"184","ipdsId":"IP-038206","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272223,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2012.06.043"}],"volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5268efe3e4b0584cbe916856","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mexicano, Lourdes","contributorId":91773,"corporation":false,"usgs":true,"family":"Mexicano","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":474207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia-Hernandez, Jaqueline","contributorId":37627,"corporation":false,"usgs":true,"family":"Garcia-Hernandez","given":"Jaqueline","email":"","affiliations":[],"preferred":false,"id":474203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez-Sapiens, Martha M.","contributorId":58172,"corporation":false,"usgs":true,"family":"Gomez-Sapiens","given":"Martha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tang, Dawei","contributorId":17515,"corporation":false,"usgs":true,"family":"Tang","given":"Dawei","email":"","affiliations":[],"preferred":false,"id":474200,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lomeli, Marcelo A.","contributorId":60523,"corporation":false,"usgs":true,"family":"Lomeli","given":"Marcelo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474205,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramírez-Hernández, Jorge","contributorId":24264,"corporation":false,"usgs":true,"family":"Ramírez-Hernández","given":"Jorge","affiliations":[],"preferred":false,"id":474202,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zamora-Arroyo, Francisco","contributorId":75834,"corporation":false,"usgs":true,"family":"Zamora-Arroyo","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":474206,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70042353,"text":"70042353 - 2013 - Evaporative losses from soils covered by physical and different types of biological soil crusts","interactions":[],"lastModifiedDate":"2013-05-14T11:23:03","indexId":"70042353","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaporative losses from soils covered by physical and different types of biological soil crusts","docAbstract":"Evaporation of soil moisture is one of the most important processes affecting water availability in semiarid ecosystems. Biological soil crusts, which are widely distributed ground cover in these ecosystems, play a recognized role on water processes. Where they roughen surfaces, water residence time and thus infiltration can be greatly enhanced, whereas their ability to clog soil pores or cap the soil surface when wetted can greatly decrease infiltration rate, thus affecting evaporative losses. In this work, we compared evaporation in soils covered by physical crusts, biological crusts in different developmental stages and in the soils underlying the different biological crust types. Our results show that during the time of the highest evaporation (Day 1), there was no difference among any of the crust types or the soils underlying them. On Day 2, when soil moisture was moderately low (11%), evaporation was slightly higher in well-developed biological soil crusts than in physical or poorly developed biological soil crusts. However, crust removal did not cause significant changes in evaporation compared with the respective soil crust type. These results suggest that the small differences we observed in evaporation among crust types could be caused by differences in the properties of the soil underneath the biological crusts. At low soil moisture (<6%), there was no difference in evaporation among crust types or the underlying soils. Water loss for the complete evaporative cycle (from saturation to dry soil) was similar in both crusted and scraped soils. Therefore, we conclude that for the specific crust and soil types tested, the presence or the type of biological soil crust did not greatly modify evaporation with respect to physical crusts or scraped soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.8421","usgsCitation":"Chamizo, S., Canton, Y., Domingo, F., and Belnap, J., 2013, Evaporative losses from soils covered by physical and different types of biological soil crusts: Hydrological Processes, v. 27, no. 3, p. 324-332, https://doi.org/10.1002/hyp.8421.","productDescription":"9 p.","startPage":"324","endPage":"332","ipdsId":"IP-029706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473824,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.8421","text":"External Repository"},{"id":272222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272221,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8421"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-03-19","publicationStatus":"PW","scienceBaseUri":"53cd588ae4b0b290850f828e","contributors":{"authors":[{"text":"Chamizo, S.","contributorId":49260,"corporation":false,"usgs":true,"family":"Chamizo","given":"S.","affiliations":[],"preferred":false,"id":471367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canton, Y.","contributorId":99868,"corporation":false,"usgs":true,"family":"Canton","given":"Y.","email":"","affiliations":[],"preferred":false,"id":471369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domingo, F.","contributorId":91776,"corporation":false,"usgs":true,"family":"Domingo","given":"F.","email":"","affiliations":[],"preferred":false,"id":471368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":471366,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045526,"text":"70045526 - 2013 - Ecosystem services from converted land: the importance of tree cover in Amazonian pastures","interactions":[],"lastModifiedDate":"2013-08-12T09:16:44","indexId":"70045526","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services from converted land: the importance of tree cover in Amazonian pastures","docAbstract":"Deforestation is responsible for a substantial fraction of global carbon emissions and changes in surface energy budgets that affect climate. Deforestation losses include wildlife and human habitat, and myriad forest products on which rural and urban societies depend for food, fiber, fuel, fresh water, medicine, and recreation. Ecosystem services gained in the transition from forests to pasture and croplands, however, are often ignored in assessments of the impact of land cover change. The role of converted lands in tropical areas in terms of carbon uptake and storage is largely unknown. Pastures represent the fastest-growing form of converted land use in the tropics, even in some areas of rapid urban expansion. Tree biomass stored in these areas spans a broad range, depending on tree cover. Trees in pasture increase carbon storage, provide shade for cattle, and increase productivity of forage material. As a result, increasing fractional tree cover can provide benefits land managers as well as important ecosystem services such as reducing conversion pressure on forests adjacent to pastures. This study presents an estimation of fractional tree cover in pasture in a dynamic region on the verge of large-scale land use change. An appropriate sampling interval is established for similar studies, one that balances the need for independent samples of sufficient number to characterize a pasture in terms of fractional tree cover. This information represents a useful policy tool for government organizations and NGOs interested in encouraging ecosystem services on converted lands. Using high spatial resolution remotely sensed imagery, fractional tree cover in pasture is quantified for the municipality of Rio Branco, Brazil. A semivariogram and devolving spatial resolution are employed to determine the coarsest sampling interval that may be used, minimizing effects of spatial autocorrelation. The coarsest sampling interval that minimizes spatial dependence was about 22 m. The area-weighted fractional tree cover for the study area was 1.85 %, corrected for a slight bias associated with the coarser sampling resolution. The pastures sampled for fractional tree cover were divided between ‘high’ and ‘low’ tree cover, which may be the result of intentional incorporation of arboreal species in pasture. Further research involving those ranchers that have a higher fractional tree cover may indicate ways to promote the practice on a broader scale in the region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Urban Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11252-012-0280-1","usgsCitation":"Barrett, K., Valentim, J., and Turner, B., 2013, Ecosystem services from converted land: the importance of tree cover in Amazonian pastures: Urban Ecosystems, v. 16, no. 3, p. 573-591, https://doi.org/10.1007/s11252-012-0280-1.","productDescription":"19 p.","startPage":"573","endPage":"591","ipdsId":"IP-042809","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131969","text":"External Repository"},{"id":272119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272118,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11252-012-0280-1"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-12-19","publicationStatus":"PW","scienceBaseUri":"518cb74fe4b05ebc8f7cc0d8","contributors":{"authors":[{"text":"Barrett, Kirsten","contributorId":26600,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","affiliations":[],"preferred":false,"id":477743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentim, Judson","contributorId":105623,"corporation":false,"usgs":true,"family":"Valentim","given":"Judson","email":"","affiliations":[],"preferred":false,"id":477745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, B. L. II","contributorId":92567,"corporation":false,"usgs":true,"family":"Turner","given":"B. L.","suffix":"II","affiliations":[],"preferred":false,"id":477744,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042766,"text":"70042766 - 2013 - Ecosystem services from keystone species: diversionary seeding and seed-caching desert rodents can enhance Indian ricegrass seedling establishment","interactions":[],"lastModifiedDate":"2013-05-09T09:16:39","indexId":"70042766","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services from keystone species: diversionary seeding and seed-caching desert rodents can enhance Indian ricegrass seedling establishment","docAbstract":"Seeds of Indian ricegrass (Achnatherum hymenoides), a native bunchgrass common to sandy soils on arid western rangelands, are naturally dispersed by seed-caching rodent species, particularly Dipodomys spp. (kangaroo rats). These animals cache large quantities of seeds when mature seeds are available on or beneath plants and recover most of their caches for consumption during the remainder of the year. Unrecovered seeds in caches account for the vast majority of Indian ricegrass seedling recruitment. We applied three different densities of white millet (Panicum miliaceum) seeds as “diversionary foods” to plots at three Great Basin study sites in an attempt to reduce rodents' over-winter cache recovery so that more Indian ricegrass seeds would remain in soil seedbanks and potentially establish new seedlings. One year after diversionary seed application, a moderate level of Indian ricegrass seedling recruitment occurred at two of our study sites in western Nevada, although there was no recruitment at the third site in eastern California. At both Nevada sites, the number of Indian ricegrass seedlings sampled along transects was significantly greater on all plots treated with diversionary seeds than on non-seeded control plots. However, the density of diversionary seeds applied to plots had a marginally non-significant effect on seedling recruitment, and it was not correlated with recruitment patterns among plots. Results suggest that application of a diversionary seed type that is preferred by seed-caching rodents provides a promising passive restoration strategy for target plant species that are dispersed by these rodents.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1526-100X.2012.00895.x","usgsCitation":"Longland, W., and Ostoja, S.M., 2013, Ecosystem services from keystone species: diversionary seeding and seed-caching desert rodents can enhance Indian ricegrass seedling establishment: Restoration Ecology, v. 21, no. 2, p. 285-291, https://doi.org/10.1111/j.1526-100X.2012.00895.x.","productDescription":"7 p.","startPage":"285","endPage":"291","ipdsId":"IP-032558","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":272121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272120,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2012.00895.x"}],"country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.0,42.0 ], [ -114.0,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-07-06","publicationStatus":"PW","scienceBaseUri":"518cb759e4b05ebc8f7cc0dc","contributors":{"authors":[{"text":"Longland, William","contributorId":73899,"corporation":false,"usgs":true,"family":"Longland","given":"William","affiliations":[],"preferred":false,"id":472211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":472210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045818,"text":"70045818 - 2013 - Present, future, and novel bioclimates of the San Francisco, California region","interactions":[],"lastModifiedDate":"2018-09-27T10:54:26","indexId":"70045818","displayToPublicDate":"2013-05-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Present, future, and novel bioclimates of the San Francisco, California region","docAbstract":"Bioclimates are syntheses of climatic variables into biologically relevant categories that facilitate comparative studies of biotic responses to climate conditions. Isobioclimates, unique combinations of bioclimatic indices (continentality, ombrotype, and thermotype), were constructed for northern California coastal ranges based on the Rivas-Martinez worldwide bioclimatic classification system for the end of the 20th century climatology (1971–2000) and end of the 21st century climatology (2070–2099) using two models, Geophysical Fluid Dynamics Laboratory (GFDL) model and the Parallel Climate Model (PCM), under the medium-high A2 emission scenario. The digitally mapped results were used to 1) assess the relative redistribution of isobioclimates and their magnitude of change, 2) quantify the loss of isobioclimates into the future, 3) identify and locate novel isobioclimates projected to appear, and 4) explore compositional change in vegetation types among analog isobioclimate patches. This study used downscaled climate variables to map the isobioclimates at a fine spatial resolution −270 m grid cells. Common to both models of future climate was a large change in thermotype. Changes in ombrotype differed among the two models. The end of 20th century climatology has 83 isobioclimates covering the 63,000 km2 study area. In both future projections 51 of those isobioclimates disappear over 40,000 km2. The ordination of vegetation-bioclimate relationships shows very strong correlation of Rivas-Martinez indices with vegetation distribution and composition. Comparisons of vegetation composition among analog patches suggest that vegetation change will be a local rearrangement of species already in place rather than one requiring long distance dispersal. The digitally mapped results facilitate comparison with other Mediterranean regions. Major remaining challenges include predicting vegetation composition of novel isobioclimates and developing metrics to compare differences in climate space.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0058450","usgsCitation":"Torregrosa, A.A., Taylor, M.D., Flint, L.E., and Flint, A.L., 2013, Present, future, and novel bioclimates of the San Francisco, California region: PLoS ONE, v. 8, no. 3, p. 1-14, https://doi.org/10.1371/journal.pone.0058450.","productDescription":"e58450; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-039134","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0058450","text":"Publisher Index Page"},{"id":271907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271906,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0058450"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-20","publicationStatus":"PW","scienceBaseUri":"518a145ee4b061e1bd53334f","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":478389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Maxwell D.","contributorId":6360,"corporation":false,"usgs":true,"family":"Taylor","given":"Maxwell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478388,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147457,"text":"70147457 - 2013 - Effects of food availability on yolk androgen deposition in the black-legged kittiwake (Rissa tridactyla), a seabird with facultative brood reduction","interactions":[],"lastModifiedDate":"2017-07-20T12:31:00","indexId":"70147457","displayToPublicDate":"2013-05-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of food availability on yolk androgen deposition in the black-legged kittiwake (<i>Rissa tridactyla</i>), a seabird with facultative brood reduction","title":"Effects of food availability on yolk androgen deposition in the black-legged kittiwake (Rissa tridactyla), a seabird with facultative brood reduction","docAbstract":"<p><span>In birds with facultative brood reduction, survival of the junior chick is thought to be regulated primarily by food availability. In black-legged kittiwakes (</span><i>Rissa tridactyla</i><span>) where parents and chicks are provided with unlimited access to supplemental food during the breeding season, brood reduction still occurs and varies interannually. Survival of the junior chick is therefore affected by factors in addition to the amount of food directly available to them. Maternally deposited yolk androgens affect competitive dynamics within a brood, and may be one of the mechanisms by which mothers mediate brood reduction in response to a suite of environmental and physiological cues. The goal of this study was to determine whether food supplementation during the pre-lay period affected patterns of yolk androgen deposition in free-living kittiwakes in two years (2003 and 2004) that varied in natural food availability. Chick survival was measured concurrently in other nests where eggs were not collected. In both years, supplemental feeding increased female investment in eggs by increasing egg mass. First-laid (“A”) eggs were heavier but contained less testosterone and androstenedione than second-laid (“B”) eggs across years and treatments. Yolk testosterone was higher in 2003 (the year with higher B chick survival) across treatments. The difference in yolk testosterone levels between eggs within a clutch varied among years and treatments such that it was relatively small when B chick experienced the lowest and the highest survival probabilities, and increased with intermediate B chick survival probabilities. The magnitude of testosterone asymmetry in a clutch may allow females to optimize fitness by either predisposing a brood for reduction or facilitating survival of younger chicks.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0062949","usgsCitation":"Benowitz-Fredericks, Z., Kitaysky, A.S., Welcker, J., and Hatch, S.A., 2013, Effects of food availability on yolk androgen deposition in the black-legged kittiwake (Rissa tridactyla), a seabird with facultative brood reduction: PLoS ONE, v. 8, no. 5, e62949: 8 p., https://doi.org/10.1371/journal.pone.0062949.","productDescription":"e62949: 8 p.","ipdsId":"IP-015797","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":473841,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0062949","text":"Publisher Index 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Jorg","contributorId":25441,"corporation":false,"usgs":true,"family":"Welcker","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":705841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":545968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045718,"text":"70045718 - 2013 - The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815)","interactions":[],"lastModifiedDate":"2013-05-02T11:03:05","indexId":"70045718","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815)","docAbstract":"The scientific name Sorex niger Ord, 1815 (Mammalia, Soricidae) was originally applied to a North American species that George Ord called the “Black Shrew.” The origin of the name “Black Shrew,” however, was obscure, and Samuel Rhoads subsequently wrote that the species represented by this name could not be determined. The names Sorex niger Ord and Black Shrew have since been mostly forgotten. Two of Ord's contemporaries, however, noted that Ord's use of these names probably alluded to Benjamin Smith Barton's Black Shrew, whose discovery near Philadelphia was announced by Barton in 1806. Examination of two unpublished illustrations of the Black Shrew made by Barton indicates that the animal depicted is Blarina brevicauda (Say, 1822). Had the connection between Ord's and Barton's names been made more clearly, one of the most common mammals in eastern North America would bear a different scientific name today. This connection also would have affected the validity of Sorex niger Horsfield, 1851. While Sorex niger Ord remains a nomen nudum, the animal it referenced can now be identified.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Biological Society of Washington","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biological Society of Washington","doi":"10.2988/0006-324X-126.1.1","usgsCitation":"Woodman, N., 2013, The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815): Proceedings of the Biological Society of Washington, v. 126, no. 1, p. 1-10, https://doi.org/10.2988/0006-324X-126.1.1.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-041117","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":271740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271739,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/0006-324X-126.1.1"}],"volume":"126","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837cece4b0a21483941a6d","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478183,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045719,"text":"70045719 - 2013 - Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion","interactions":[],"lastModifiedDate":"2013-05-02T11:09:41","indexId":"70045719","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion","docAbstract":"The original description of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) was published in 1861 by Robert Kennicott, who did not identify a type specimen or a type locality. We review the history of specimens purported to be the type(s) and various designations of type locality. We provide evidence that ANSP 7069 (formerly one of two specimens of USNM 5027) is the holotype and that the appropriate type locality is Fort Buchanan, near present-day Sonoita, in Santa Cruz County, Arizona.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Biological Society of Washington","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biological Society of Washington","doi":"10.2988/0006-324X-126.1.11","usgsCitation":"Cardwell, M.D., Gotte, S.W., McDiarmid, R.W., Gilmore, N., and Poindexter, J.A., 2013, Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion: Proceedings of the Biological Society of Washington, v. 126, no. 1, p. 11-16, https://doi.org/10.2988/0006-324X-126.1.11.","productDescription":"6 p.","startPage":"11","endPage":"16","ipdsId":"IP-041187","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":271742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271741,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/0006-324X-126.1.11"}],"volume":"126","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837cece4b0a21483941a71","contributors":{"authors":[{"text":"Cardwell, Michael D.","contributorId":27339,"corporation":false,"usgs":true,"family":"Cardwell","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmore, Ned","contributorId":83419,"corporation":false,"usgs":true,"family":"Gilmore","given":"Ned","email":"","affiliations":[],"preferred":false,"id":478188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poindexter, James A. jpoindexter@usgs.gov","contributorId":5111,"corporation":false,"usgs":true,"family":"Poindexter","given":"James","email":"jpoindexter@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":478186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70073557,"text":"70073557 - 2013 - The SCEC geodetic transient detection validation exercise","interactions":[],"lastModifiedDate":"2014-01-22T12:01:14","indexId":"70073557","displayToPublicDate":"2013-05-01T11:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The SCEC geodetic transient detection validation exercise","docAbstract":"Over the past decade the number and size of continuously operating Global Positioning System (GPS) networks has grown substantially worldwide. A steadily increasing volume of freely available GPS measurements, combined with the application of new approaches for mining these data for signals of interest, has led to the identification of a large and diverse collection of time‐varying Earth processes.\n\nOne phenomenon that has been observed is transient fault slip (also termed slow slip events or silent earthquakes) occurring over time spans of days to years (e.g., Linde et al., 1996; Hirose et al., 1999; Dragert et al., 2001; Miller et al., 2002; Kostoglodov et al., 2003; Douglas et al., 2005; Shelly et al., 2006; Ide et al., 2007; Lohman and McGuire, 2007; Schwartz and Rokosky, 2007; Szeliga et al., 2008). Such events have been widely observed in subduction zones but are also found in other tectonic settings (Linde et al., 1996; Cervelli et al., 2002; Murray and Segall, 2005; Lohman and McGuire, 2007; Montgomery‐Brown et al., 2009; Shelly, 2010; and references therein). Although retrospective study of slow‐slip events using geodetic observations is driving the formulation of new models for fault‐zone behavior and constitutive laws (e.g., Lapusta et al., 2000; Liu and Rice, 2007; Lapusta and Liu, 2009; Segall and Bradley, 2012a), much of the research on near‐real‐time detection and characterization of anomalous behaviors along fault zones has focused solely on the use of seismic tremor (e.g., Rogers and Dragert, 2003; Shelly et al., 2006; Ito et al., 2007).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220130041","usgsCitation":"Lohman, R.B., and Murray, J.R., 2013, The SCEC geodetic transient detection validation exercise: Seismological Research Letters, v. 84, no. 3, p. 419-425, https://doi.org/10.1785/0220130041.","productDescription":"7 p.","startPage":"419","endPage":"425","numberOfPages":"7","ipdsId":"IP-044356","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":281262,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0220130041"},{"id":281371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,31.0 ], [ -121.5,36.0 ], [ -114.0,36.0 ], [ -114.0,31.0 ], [ -121.5,31.0 ] ] ] } } ] }","volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-03","publicationStatus":"PW","scienceBaseUri":"53cd7732e4b0b2908510b688","contributors":{"authors":[{"text":"Lohman, Rowena B.","contributorId":36050,"corporation":false,"usgs":true,"family":"Lohman","given":"Rowena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":488920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":488919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148138,"text":"70148138 - 2013 - A novel approach to surveying sturgeon using side-scan sonar and occupancy modeling","interactions":[],"lastModifiedDate":"2015-05-27T14:25:37","indexId":"70148138","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"A novel approach to surveying sturgeon using side-scan sonar and occupancy modeling","docAbstract":"<p><span>Technological advances represent opportunities to enhance and supplement traditional fisheries sampling approaches. One example with growing importance for fisheries research is hydroacoustic technologies such as side-scan sonar. Advantages of side-scan sonar over traditional techniques include the ability to sample large areas efficiently and the potential to survey fish without physical handling-important for species of conservation concern, such as endangered sturgeons. Our objectives were to design an efficient survey methodology for sampling Atlantic Sturgeon&nbsp;</span><i>Acipenser oxyrinchus</i><span>&nbsp;by using side-scan sonar and to developmethods for analyzing these data. In North Carolina and South Carolina, we surveyed six rivers thought to contain varying abundances of sturgeon by using a combination of side-scan sonar, telemetry, and video cameras (i.e., to sample jumping sturgeon). Lower reaches of each river near the saltwater-freshwater interface were surveyed on three occasions (generally successive days), and we used occupancy modeling to analyze these data.We were able to detect sturgeon in five of six rivers by using these methods. Side-scan sonar was effective in detecting sturgeon, with estimated gear-specific detection probabilities ranging from 0.2 to 0.5 and river-specific occupancy estimates (per 2-km river segment) ranging from 0.0 to 0.8. Future extensions of this occupancy modeling framework will involve the use of side-scan sonar data to assess sturgeon habitat and abundance in different river systems.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/19425120.2013.816396","usgsCitation":"Flowers, H.J., and Hightower, J.E., 2013, A novel approach to surveying sturgeon using side-scan sonar and occupancy modeling: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 5, no. 1, p. 211-223, https://doi.org/10.1080/19425120.2013.816396.","productDescription":"13 p.","startPage":"211","endPage":"223","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043165","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2013.816396","text":"Publisher Index Page"},{"id":300869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, South Carolina","otherGeospatial":"Cape Fear River, Edisto River, Neuse River, Pee Dee-Waccamaw River, Roanoke River, Santee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.76123046875,\n              36.53612263184686\n            ],\n            [\n              -78.92578124999999,\n              35.782170703266075\n            ],\n            [\n              -80.123291015625,\n              35.003003395276714\n            ],\n            [\n              -80.91430664062499,\n              34.116352469972746\n            ],\n            [\n              -81.84814453125,\n              33.247875947924385\n            ],\n            [\n              -81.529541015625,\n              33.00866349457558\n            ],\n            [\n              -81.38671875,\n              32.602361666817515\n            ],\n            [\n              -81.112060546875,\n              32.24997445586331\n            ],\n            [\n              -80.85937499999999,\n              31.924192605327708\n            ],\n            [\n              -80.31005859375,\n              32.52828936482526\n            ],\n            [\n              -79.881591796875,\n              32.75032260780972\n            ],\n            [\n              -79.25537109375,\n              33.165145408240285\n            ],\n            [\n              -78.936767578125,\n              33.669496972795535\n            ],\n            [\n              -78.06884765624999,\n              33.93424531117312\n            ],\n            [\n              -77.82714843749999,\n              34.1890858311724\n            ],\n            [\n              -77.266845703125,\n              34.63320791137959\n            ],\n            [\n              -76.53076171875,\n              34.687427949314845\n            ],\n            [\n              -76.0693359375,\n              35.074964853989556\n            ],\n            [\n              -75.509033203125,\n              35.28150065789119\n            ],\n            [\n              -75.552978515625,\n              35.84453450421662\n            ],\n            [\n              -75.882568359375,\n              36.56260003738548\n            ],\n            [\n              -77.76123046875,\n              36.53612263184686\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"5566eab3e4b0d9246a9ec2ca","contributors":{"authors":[{"text":"Flowers, H. Jared","contributorId":140974,"corporation":false,"usgs":false,"family":"Flowers","given":"H.","email":"","middleInitial":"Jared","affiliations":[],"preferred":false,"id":547784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134601,"text":"70134601 - 2013 - Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management","interactions":[],"lastModifiedDate":"2014-12-03T11:04:32","indexId":"70134601","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management","docAbstract":"<p>Studies examining species occurrence often fail to account for false absences in field sampling. We investigate detection probabilities of five gear types for six fish species in a sample of lakes on the North Slope, Alaska. We used an occupancy modeling approach to provide estimates of detection probabilities for each method. Variation in gear- and species-specific detection probability was considerable. For example, detection probabilities for the fyke net ranged from 0.82 (SE = 0.05) for least cisco (<em>Coregonus sardinella</em>) to 0.04 (SE = 0.01) for slimy sculpin (<em>Cottus cognatus</em>). Detection probabilities were also affected by site-specific variables such as depth of the lake, year, day of sampling, and lake connection to a stream. With the exception of the dip net and shore minnow traps, each gear type provided the highest detection probability of at least one species. Results suggest that a multimethod approach may be most effective when attempting to sample the entire fish community of Arctic lakes. Detection probability estimates will be useful for designing optimal fish sampling and monitoring protocols in Arctic lakes.</p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0527","usgsCitation":"Haynes, T.B., Rosenberger, A.E., Lindberg, M., Whitman, M., and Schmutz, J.A., 2013, Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 7, p. 1055-1062, https://doi.org/10.1139/cjfas-2012-0527.","productDescription":"8 p.","startPage":"1055","endPage":"1062","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045099","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.328125,\n              71.63599288330606\n            ],\n            [\n              -141.6796875,\n              58.81374171570782\n            ],\n            [\n              -178.2421875,\n              50.62507306341435\n            ],\n            [\n              -165.76171875,\n              71.69129271863999\n            ],\n            [\n              -141.328125,\n              71.63599288330606\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54803428e4b0ac64d148dceb","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":526253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Matthew","contributorId":19257,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","affiliations":[],"preferred":false,"id":526255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188365,"text":"70188365 - 2013 - Annual modulation of non-volcanic tremor in northern Cascadia","interactions":[],"lastModifiedDate":"2017-06-07T11:42:08","indexId":"70188365","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Annual modulation of non-volcanic tremor in northern Cascadia","docAbstract":"<p><span>Two catalogs of episodic tremor events in northern Cascadia, one from 2006 to 2012 and the other from 1997 to 2011, reveal two systematic patterns of tremor occurrence in southern Vancouver Island: (1) most individual events tend to occur in the third quarter of the year; (2) the number of events in prolonged episodes (i.e., episodic tremor and slip events), which generally propagate to Vancouver Island from elsewhere along the Cascadia subduction zone, is inversely correlated with the amount of precipitation that occurred in the preceding 2 months. We rationalize these patterns as the product of hydrologic loading of the crust of southern Vancouver Island and the surrounding continental region, superimposed with annual variations from oceanic tidal loading. Loading of the Vancouver Island crust in the winter (when the land surface receives ample precipitation) and unloading in the summer tends to inhibit and enhance downdip shear stress, respectively. Quantitatively, for an annually variable surface load, the predicted stress perturbation depends on mantle viscoelastic rheology. A mechanical model of downdip shear stress on the transition zone beneath Vancouver Island—driven predominantly by the annual hydrologic cycle—is consistent with the 1997–2012 tremor observations, with peak-to-peak downdip shear stress of about 0.4 kPa. This seasonal dependence of tremor occurrence appears to be restricted to southern Vancouver Island because of its unique situation as an elongated narrow-width land mass surrounded by ocean, which permits seasonal perturbations in shear stress at depth.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50181","usgsCitation":"Pollitz, F., Wech, A.G., Kao, H., and Burgmann, R., 2013, Annual modulation of non-volcanic tremor in northern Cascadia: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2445-2459, https://doi.org/10.1002/jgrb.50181.","productDescription":"15 p.","startPage":"2445","endPage":"2459","ipdsId":"IP-045029","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50181","text":"Publisher Index Page"},{"id":342223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.5400390625,\n              46.28622391806706\n            ],\n            [\n              -121.1572265625,\n              46.28622391806706\n            ],\n            [\n              -121.1572265625,\n              50.958426723359935\n            ],\n            [\n              -128.5400390625,\n              50.958426723359935\n            ],\n            [\n              -128.5400390625,\n              46.28622391806706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88e6","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":697411,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kao, Honn","contributorId":105419,"corporation":false,"usgs":true,"family":"Kao","given":"Honn","email":"","affiliations":[],"preferred":false,"id":697412,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":697413,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189218,"text":"70189218 - 2013 - Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model","interactions":[],"lastModifiedDate":"2018-04-02T16:50:16","indexId":"70189218","displayToPublicDate":"2013-05-01T00:00:00","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":"Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model","docAbstract":"<p><span>A colloid transport model is introduced that is conceptually simple yet captures the essential features of colloid transport and retention in saturated porous media when colloid retention is dominated by the secondary minimum because an electrostatic barrier inhibits substantial deposition in the primary minimum. This model is based on conventional colloid filtration theory (CFT) but eliminates the empirical concept of attachment efficiency. The colloid deposition rate is computed directly from CFT by assuming all predicted interceptions of colloids by collectors result in at least temporary deposition in the secondary minimum. Also, a new paradigm for colloid re-entrainment based on colloid population heterogeneity is introduced. To accomplish this, the initial colloid population is divided into two fractions. One fraction, by virtue of physiochemical characteristics (e.g., size and charge), will always be re-entrained after capture in a secondary minimum. The remaining fraction of colloids, again as a result of physiochemical characteristics, will be retained “irreversibly” when captured by a secondary minimum. Assuming the dispersion coefficient can be estimated from tracer behavior, this model has only two fitting parameters: (1) the fraction of the initial colloid population that will be retained “irreversibly” upon interception by a secondary minimum, and (2) the rate at which reversibly retained colloids leave the secondary minimum. These two parameters were correlated to the depth of the Derjaguin-Landau-Verwey-Overbeek (DLVO) secondary energy minimum and pore-water velocity, two physical forces that influence colloid transport. Given this correlation, the model serves as a heuristic tool for exploring the influence of physical parameters such as surface potential and fluid velocity on colloid transport.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/wrcr.20195","usgsCitation":"Landkamer, L.L., Harvey, R.W., Scheibe, T.D., and Ryan, J.N., 2013, Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model: Water Resources Research, v. 49, no. 5, p. 2952-2965, https://doi.org/10.1002/wrcr.20195.","productDescription":"14 p.","startPage":"2952","endPage":"2965","ipdsId":"IP-014563","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20195","text":"Publisher Index Page"},{"id":343392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e368","contributors":{"authors":[{"text":"Landkamer, Lee L.","contributorId":65679,"corporation":false,"usgs":true,"family":"Landkamer","given":"Lee","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheibe, Timothy D.","contributorId":194243,"corporation":false,"usgs":false,"family":"Scheibe","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703563,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":703561,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70187065,"text":"70187065 - 2013 - Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm","interactions":[],"lastModifiedDate":"2017-04-21T09:19:10","indexId":"70187065","displayToPublicDate":"2013-04-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm","docAbstract":"<p><span>A vigorous swarm of over 1000 small, shallow earthquakes occurred 20–22 September 2009 beneath Mount Rainier, Washington, including the largest number of events ever recorded in a single day at Rainier since seismic stations were installed on the edifice in 1989. Many events were only clearly recorded on one or two stations on the edifice, or they overlapped in time with other events, and thus only ~200 were locatable by manual phase picking. To partially overcome this limitation, we applied waveform-based event detection integrated with precise double-difference relative relocation. With this procedure, detection and location goals are accomplished in tandem, using cross-correlation with continuous seismic data and waveform templates constructed from cataloged events. As a result, we obtained precise locations for 726 events, an improvement of almost a factor of 4. These event locations define a ~850 m long nearly vertical structure striking NNE, with episodic migration outward from the initial hypocenters. The activity front propagates in a manner consistent with a diffusional process. Double-couple-constrained focal mechanisms suggest dominantly near-vertical strike-slip motion on either NNW or ENE striking faults, more than 30° different than the strike of the event locations. This suggests the possibility of en echelon faulting, perhaps with a component of fault opening in a fracture-mesh-type geometry. We hypothesize that the swarm was initiated by a sudden release of high-pressure fluid into preexisting fractures, with subsequent activity triggered by diffusing fluid pressure in combination with stress transfer from the preceding events.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/grl.50354","usgsCitation":"Shelly, D.R., Moran, S.C., and Thelen, W.A., 2013, Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm: Geophysical Research Letters, v. 40, no. 8, p. 1506-1512, https://doi.org/10.1002/grl.50354.","productDescription":"7 p.","startPage":"1506","endPage":"1512","ipdsId":"IP-044737","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50354","text":"Publisher Index Page"},{"id":340068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              46.7\n            ],\n            [\n              -121.5,\n              46.7\n            ],\n            [\n              -121.5,\n              46.95\n            ],\n            [\n              -122,\n              46.95\n            ],\n            [\n              -122,\n              46.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"58fb1a4fe4b0c3010a8087d9","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":692282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":692283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":692284,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188332,"text":"70188332 - 2013 - Radiometric cross-calibration of EO-1 ALI with L7 ETM+ and Terra MODIS sensors using near-simultaneous desert observations","interactions":[],"lastModifiedDate":"2017-06-06T14:29:04","indexId":"70188332","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric cross-calibration of EO-1 ALI with L7 ETM+ and Terra MODIS sensors using near-simultaneous desert observations","docAbstract":"<p><span>The Earth Observing-1 (EO-1) satellite was launched on November 21, 2000, as part of a one-year technology demonstration mission. The mission was extended because of the value it continued to add to the scientific community. EO-1 has now been operational for more than a decade, providing both multispectral and hyperspectral measurements. As part of the EO-1 mission, the Advanced Land Imager (ALI) sensor demonstrates a potential technological direction for the next generation of Landsat sensors. To evaluate the ALI sensor capabilities as a precursor to the Operational Land Imager (OLI) onboard the Landsat Data Continuity Mission (LDCM, or Landsat 8 after launch), its measured top-of-atmosphere (TOA) reflectances were compared to the well-calibrated Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors in the reflective solar bands (RSB). These three satellites operate in a near-polar, sun-synchronous orbit 705 km above the Earth's surface. EO-1 was designed to fly one minute behind L7 and approximately 30 minutes in front of Terra. In this configuration, all the three sensors can view near-identical ground targets with similar atmospheric, solar, and viewing conditions. However, because of the differences in the relative spectral response (RSR), the measured physical quantities can be significantly different while observing the same target. The cross-calibration of ALI with ETM+ and MODIS was performed using near-simultaneous surface observations based on image statistics from areas observed by these sensors over four desert sites (Libya 4, Mauritania 2, Arabia 1, and Sudan 1). The differences in the measured TOA reflectances due to RSR mismatches were compensated by using a spectral band adjustment factor (SBAF), which takes into account the spectral profile of the target and the RSR of each sensor. For this study, the spectral profile of the target comes from the near-simultaneous EO-1 Hyperion data over these sites. The results indicate that the TOA reflectance measurements for ALI agree with those of ETM+ and MODIS to within 5% after the application of SBAF.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JSTARS.2013.2251999","usgsCitation":"Chander, G., Angal, A., Choi, T., and Xiong, X., 2013, Radiometric cross-calibration of EO-1 ALI with L7 ETM+ and Terra MODIS sensors using near-simultaneous desert observations: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 6, no. 2, p. 386-399, https://doi.org/10.1109/JSTARS.2013.2251999.","productDescription":"14 p.","startPage":"386","endPage":"399","ipdsId":"IP-040530","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Libya, Mauritania, Sudan","otherGeospatial":"Arabia","geographicExtents":"{\n  \"type\": 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Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":697314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":697315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044445,"text":"70044445 - 2013 - Current and future land use around a nationwide protected area network","interactions":[],"lastModifiedDate":"2013-04-22T14:30:43","indexId":"70044445","displayToPublicDate":"2013-04-22T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Current and future land use around a nationwide protected area network","docAbstract":"Land-use change around protected areas can reduce their effective size and limit their ability to conserve biodiversity because land-use change alters ecological processes and the ability of organisms to move freely among protected areas. The goal of our analysis was to inform conservation planning efforts for a nationwide network of protected lands by predicting future land use change. We evaluated the relative effect of three economic policy scenarios on land use surrounding the U.S. Fish and Wildlife Service's National Wildlife Refuges. We predicted changes for three land-use classes (forest/range, crop/pasture, and urban) by 2051. Our results showed an increase in forest/range lands (by 1.9% to 4.7% depending on the scenario), a decrease in crop/pasture between 15.2% and 23.1%, and a substantial increase in urban land use between 28.5% and 57.0%. The magnitude of land-use change differed strongly among different USFWS administrative regions, with the most change in the Upper Midwestern US (approximately 30%), and the Southeastern and Northeastern US (25%), and the rest of the U.S. between 15 and 20%. Among our scenarios, changes in land use were similar, with the exception of our “restricted-urban-growth” scenario, which resulted in noticeably different rates of change. This demonstrates that it will likely be difficult to influence land-use change patterns with national policies and that understanding regional land-use dynamics is critical for effective management and planning of protected lands throughout the U.S.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0055737","usgsCitation":"Hamilton, C., Martinuzzi, S., Plantinga, A.J., Radeloff, V., Lewis, D.J., Thogmartin, W.E., Heglund, P., and Pidgeon, A.M., 2013, Current and future land use around a nationwide protected area network: PLoS ONE, v. 8, no. 1, e55737, https://doi.org/10.1371/journal.pone.0055737.","productDescription":"e55737","ipdsId":"IP-043896","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0055737","text":"Publisher Index Page"},{"id":271376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271375,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0055737"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"51764ddce4b0f989f99e0092","contributors":{"authors":[{"text":"Hamilton, Christopher M.","contributorId":27767,"corporation":false,"usgs":true,"family":"Hamilton","given":"Christopher M.","affiliations":[],"preferred":false,"id":475622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinuzzi, Sebastian","contributorId":17491,"corporation":false,"usgs":true,"family":"Martinuzzi","given":"Sebastian","affiliations":[],"preferred":false,"id":475620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plantinga, Andrew J.","contributorId":75413,"corporation":false,"usgs":true,"family":"Plantinga","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":475625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, David J.","contributorId":21048,"corporation":false,"usgs":true,"family":"Lewis","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":475619,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heglund, Patricia J.","contributorId":51248,"corporation":false,"usgs":true,"family":"Heglund","given":"Patricia J.","affiliations":[],"preferred":false,"id":475623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pidgeon, Anna M.","contributorId":84243,"corporation":false,"usgs":true,"family":"Pidgeon","given":"Anna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70042335,"text":"70042335 - 2013 - Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu)","interactions":[],"lastModifiedDate":"2021-05-27T14:08:26.588671","indexId":"70042335","displayToPublicDate":"2013-04-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu)","docAbstract":"The Potomac River basin is an area where a high prevalence of abnormalities such as testicular oocytes (TO), skin lesions, and mortality has been observed in smallmouth bass (SMB, Micropterus dolomieu). Previous research documented a variety of chemicals in regional streams, implicating chemical exposure as one plausible explanation for these biological effects. Six stream sites in the Potomac basin (and one out-of-basin reference site) were sampled to provide an assessment of chemicals in these streams. Potential early life-stage exposure to chemicals detected was assessed by collecting samples in and around SMB nesting areas. Target chemicals included those known to be associated with important agricultural and municipal wastewater sources in the Potomac basin. The prevalence and severity of TO in SMB were also measured to determine potential relations between chemistry and biological effects.\n\nA total of 39 chemicals were detected at least once in the discrete-water samples, with atrazine, caffeine, deethylatrazine, simazine, and iso-chlorotetracycline being most frequently detected. Of the most frequently detected chemicals, only caffeine was detected in water from the reference site. No biogenic hormones/sterols were detected in the discrete-water samples. In contrast, 100 chemicals (including six biogenic hormones/sterols) were found in a least one passive-water sample, with 25 being detected at all such samples. In addition, 46 chemicals (including seven biogenic hormones/sterols) were found in the bed-sediment samples, with caffeine, cholesterol, indole, para-cresol, and sitosterol detected in all such samples.\n\nThe number of herbicides detected in discrete-water samples per site had a significant positive relation to TO<sub>rank</sub> (a nonparametric indicator of TO), with significant positive relations between TO<sub>rank</sub> and atrazine concentrations in discrete-water samples and to total hormone/sterol concentration in bed-sediment samples. Such significant correlations do not necessarily imply causation, as these chemical compositions and concentrations likely do not adequately reflect total SMB exposure history, particularly during critical life stages.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.09.063","usgsCitation":"Kolpin, D.W., Blazer, V., Gray, J.L., Focazio, M.J., Young, J.A., Alvarez, D., Iwanowicz, L., Foreman, W., Furlong, E.T., Speiran, G.K., Zaugg, S.D., Hubbard, L.E., Meyer, M.T., Sandstrom, M.W., and Barber, L.B., 2013, Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu): Science of the Total Environment, v. 443, p. 700-716, https://doi.org/10.1016/j.scitotenv.2012.09.063.","productDescription":"17 p.","startPage":"700","endPage":"716","ipdsId":"IP-040996","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":271301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.09.063"},{"id":271302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8,38.0 ], [ -79.8,40.1 ], [ -76.2,40.1 ], [ -76.2,38.0 ], [ -79.8,38.0 ] ] ] } } ] }","volume":"443","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b16fe4b0e619a5806ea1","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":471312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":471316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":471317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":471320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":471323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":471322,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":471318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":471310,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Speiran, Gary K. 0000-0002-6505-1170 gspeiran@usgs.gov","orcid":"https://orcid.org/0000-0002-6505-1170","contributorId":3233,"corporation":false,"usgs":true,"family":"Speiran","given":"Gary","email":"gspeiran@usgs.gov","middleInitial":"K.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471319,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":471311,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471321,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":471313,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - 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,{"id":70045476,"text":"70045476 - 2013 - Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments","interactions":[],"lastModifiedDate":"2013-04-19T14:37:11","indexId":"70045476","displayToPublicDate":"2013-04-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments","docAbstract":"In many North American rivers, populations of multiple species of non-native cyprinid fishes are present, including black carp (Mylpharyngodon piceus), grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), silver carp (Hypophthalmichthys molitrix), common carp (Cyprinus carpio), and goldfish (Carassius auratus). All six of these species are found in the Mississippi River basin and tracking their invasion has proven difficult, particularly where abundance is low. Knowledge of the location of the invasion front is valuable to natural resource managers because future ecological and economic damages can be most effectively prevented when populations are low. To test the accuracy of environmental DNA (eDNA) as an early indicator of species occurrence and relative abundance, we applied eDNA technology to the six non-native cyprinid species putatively present in a 2.6 river mile stretch of the Chicago (IL, USA) canal system that was subsequently treated with piscicide. The proportion of water samples yielding positive detections increased with relative abundance of the six species, as indicated by the number of carcasses recovered after poisoning. New markers for black carp, grass carp, and a common carp/goldfish are reported and details of the marker testing to ensure specificity are provided.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0058316","usgsCitation":"Mahon, A., Jerde, C.L., Galaska, M., Bergner, J.L., Chadderton, W., Lodge, D.M., Hunter, M., and Nico, L.G., 2013, Validation of eDNA surveillance sensitivity for detection of Asian carps in controlled and field experiments: PLoS ONE, v. 8, no. 3, e58316, https://doi.org/10.1371/journal.pone.0058316.","productDescription":"e58316","ipdsId":"IP-031094","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0058316","text":"Publisher Index Page"},{"id":271265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0058316"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.65,41.57 ], [ -87.65,41.69 ], [ -87.36,41.69 ], [ -87.36,41.57 ], [ -87.65,41.57 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-05","publicationStatus":"PW","scienceBaseUri":"5172679ce4b0c173799e7ab7","contributors":{"authors":[{"text":"Mahon, Andrew R.","contributorId":64131,"corporation":false,"usgs":true,"family":"Mahon","given":"Andrew R.","affiliations":[],"preferred":false,"id":477592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L.","contributorId":45608,"corporation":false,"usgs":true,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galaska, Matthew","contributorId":48071,"corporation":false,"usgs":true,"family":"Galaska","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":477591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergner, Jennifer L.","contributorId":33603,"corporation":false,"usgs":true,"family":"Bergner","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chadderton, W. Lindsay","contributorId":64538,"corporation":false,"usgs":true,"family":"Chadderton","given":"W. Lindsay","affiliations":[],"preferred":false,"id":477593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":477594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":477588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nico, Leo G. 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":2913,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477587,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044568,"text":"70044568 - 2013 - A quantitative assessment of the conservation benefits of the Wetlands Reserve Program to amphibians","interactions":[],"lastModifiedDate":"2013-04-10T22:36:56","indexId":"70044568","displayToPublicDate":"2013-04-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A quantitative assessment of the conservation benefits of the Wetlands Reserve Program to amphibians","docAbstract":"The Mississippi Alluvial Valley (MAV) originally consisted of nearly contiguous bottomland hardwood (BLH) forest encompassing approximately 10 million hectares. Currently, only 20–25% of the historical BLH forests remain in small patches fragmented by agricultural lands. The Wetlands Reserve Program (WRP) was established to restore and protect the functions and values of wetlands in agricultural landscapes. To assess the potential benefit of WRP restoration to amphibians, we surveyed 30 randomly selected WRP sites and 20 nearby agricultural sites in the Mississippi Delta. We made repeat visits to each site from May to August 2008 and performed both visual encounter and vocalization surveys. We analyzed the encounter history data for 11 anuran species using a Bayesian hierarchical occupancy model that estimated detection probability and probability of occurrence simultaneously for each species. Nine of the 11 species had higher probabilities of occurrence at WRP sites compared to agriculture. Derived estimates of species richness were also higher for WRP sites. Five anuran species were significantly more likely to occur in WRP than in agriculture, four of which were among the most aquatic species. It appears that the restoration of a more permanent hydrology at the WRP sites may be the primary reason for this result. Although amphibians represent only one group of wildlife species, they are useful for evaluating restoration benefits for wildlife because of their intermediate trophic position. The methods used in this study to evaluate the benefit of restoration could be used in other locations and with other groups of indicator species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1526-100X.2012.00881.x","usgsCitation":"Waddle, J., Glorioso, B.M., and Faulkner, S.P., 2013, A quantitative assessment of the conservation benefits of the Wetlands Reserve Program to amphibians: Restoration Ecology, v. 21, no. 2, p. 200-206, https://doi.org/10.1111/j.1526-100X.2012.00881.x.","productDescription":"7 p.","startPage":"200","endPage":"206","ipdsId":"IP-029595","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2012.00881.x"},{"id":270803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.66,30.17 ], [ -91.66,35.0 ], [ -88.1,35.0 ], [ -88.1,30.17 ], [ -91.66,30.17 ] ] ] } } ] }","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-07-05","publicationStatus":"PW","scienceBaseUri":"51667bcfe4b0bba30b388b9e","contributors":{"authors":[{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":475877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":475875,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045327,"text":"sir20135029 - 2013 - Human effects on the hydrologic system of the Verde Valley, central Arizona, 1910–2005 and 2005–2110, using a regional groundwater flow model","interactions":[],"lastModifiedDate":"2018-03-23T14:28:22","indexId":"sir20135029","displayToPublicDate":"2013-04-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5029","title":"Human effects on the hydrologic system of the Verde Valley, central Arizona, 1910–2005 and 2005–2110, using a regional groundwater flow model","docAbstract":"Water budgets were developed for the Verde Valley of central Arizona in order to evaluate the degree to which human stresses have affected the hydrologic system and might affect it in the future. The Verde Valley is a portion of central Arizona wherein concerns have been raised about water availability, particularly perennial base flow of the Verde River. The Northern Arizona Regional Groundwater Flow Model (NARGFM) was used to generate the water budgets and was run in several configurations for the 1910–2005 and 2005–2110 time periods. The resultant water budgets were subtracted from one another in order to quantify the relative changes that were attributable solely to human stresses; human stresses included groundwater withdrawals and incidental and artificial recharge but did not include, for example, human effects on the global climate. Three hypothetical and varied conditions of human stresses were developed and applied to the model for the 2005–2110 period. On the basis of this analysis, human stresses during 1910–2005 were found to have already affected the hydrologic system of the Verde Valley, and human stresses will continue to affect the hydrologic system during 2005–2110. Riparian evapotranspiration decreased and underflow into the Verde Valley increased because of human stresses, and net groundwater discharge to the Verde River in the Verde Valley decreased for the 1910–2005 model runs. The model also showed that base flow at the upstream end of the study area, as of 2005, was about 4,900 acre-feet per year less than it would have been in the absence of human stresses. At the downstream end of the Verde Valley, base flow had been reduced by about 10,000 acre-feet per year by the year 2005 because of human stresses. For the 2005–2110 period, the model showed that base flow at the downstream end of the Verde Valley may decrease by an additional 5,400 to 8,600 acre-feet per year because of past, ongoing, and hypothetical future human stresses. The process known as capture (or streamflow depletion caused by the pumping of groundwater) was the reason for these human-stress-induced changes in water-budget components.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135029","collaboration":"Prepared in cooperation with the Verde River Basin Partnership and the Town of Clarkdale","usgsCitation":"Garner, B.D., Pool, D.R., Tillman, F., and Forbes, B., 2013, Human effects on the hydrologic system of the Verde Valley, central Arizona, 1910–2005 and 2005–2110, using a regional groundwater flow model: U.S. Geological Survey Scientific Investigations Report 2013-5029, vi, 47 p., https://doi.org/10.3133/sir20135029.","productDescription":"vi, 47 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":270718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135029.gif"},{"id":270716,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5029/"},{"id":270717,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5029/sir2013-5029.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Verde Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.0,37.0 ], [ -109.0,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f314e4b0bc0bec0a077b","contributors":{"authors":[{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":477227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, Brandon T. bforbes@usgs.gov","contributorId":4625,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon T.","email":"bforbes@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477228,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043720,"text":"70043720 - 2013 - Automated cloud and shadow detection and filling using two-date Landsat imagery in the United States","interactions":[],"lastModifiedDate":"2013-04-09T20:09:58","indexId":"70043720","displayToPublicDate":"2013-04-09T00:00:00","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":"Automated cloud and shadow detection and filling using two-date Landsat imagery in the United States","docAbstract":"A simple, efficient, and practical approach for detecting cloud and shadow areas in satellite imagery and restoring them with clean pixel values has been developed. Cloud and shadow areas are detected using spectral information from the blue, shortwave infrared, and thermal infrared bands of Landsat Thematic Mapper or Enhanced Thematic Mapper Plus imagery from two dates (a target image and a reference image). These detected cloud and shadow areas are further refined using an integration process and a false shadow removal process according to the geometric relationship between cloud and shadow. Cloud and shadow filling is based on the concept of the Spectral Similarity Group (SSG), which uses the reference image to find similar alternative pixels in the target image to serve as replacement values for restored areas. Pixels are considered to belong to one SSG if the pixel values from Landsat bands 3, 4, and 5 in the reference image are within the same spectral ranges. This new approach was applied to five Landsat path/rows across different landscapes and seasons with various types of cloud patterns. Results show that almost all of the clouds were captured with minimal commission errors, and shadows were detected reasonably well. Among five test scenes, the lowest producer's accuracy of cloud detection was 93.9% and the lowest user's accuracy was 89%. The overall cloud and shadow detection accuracy ranged from 83.6% to 99.3%. The pixel-filling approach resulted in a new cloud-free image that appears seamless and spatially continuous despite differences in phenology between the target and reference images. Our methods offer a straightforward and robust approach for preparing images for the new 2011 National Land Cover Database production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161.2012.720045","usgsCitation":"Jin, S., Homer, C.G., Yang, L., Xian, G., Fry, J., Danielson, P., and Townsend, P., 2013, Automated cloud and shadow detection and filling using two-date Landsat imagery in the United States: International Journal of Remote Sensing, v. 34, no. 5, p. 1540-1560, https://doi.org/10.1080/01431161.2012.720045.","productDescription":"21 p.","startPage":"1540","endPage":"1560","ipdsId":"IP-024783","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270761,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2012.720045"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-10-16","publicationStatus":"PW","scienceBaseUri":"51652a5de4b077fa94dadf43","contributors":{"authors":[{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":474169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fry, Joyce 0000-0002-8466-9582 jfry@usgs.gov","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":3147,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"jfry@usgs.gov","affiliations":[],"preferred":true,"id":474164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danielson, Patrick 0000-0002-2990-2783 pdanielson@usgs.gov","orcid":"https://orcid.org/0000-0002-2990-2783","contributorId":3551,"corporation":false,"usgs":true,"family":"Danielson","given":"Patrick","email":"pdanielson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":474165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Townsend, Philip A.","contributorId":47664,"corporation":false,"usgs":true,"family":"Townsend","given":"Philip A.","affiliations":[],"preferred":false,"id":474168,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044140,"text":"70044140 - 2013 - Absolute radiometric calibration of Landsat using a pseudo invariant calibration site","interactions":[],"lastModifiedDate":"2013-04-06T20:43:45","indexId":"70044140","displayToPublicDate":"2013-04-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Absolute radiometric calibration of Landsat using a pseudo invariant calibration site","docAbstract":"Pseudo invariant calibration sites (PICS) have been used for on-orbit radiometric trending of optical satellite systems for more than 15 years. This approach to vicarious calibration has demonstrated a high degree of reliability and repeatability at the level of 1-3% depending on the site, spectral channel, and imaging geometries. A variety of sensors have used this approach for trending because it is broadly applicable and easy to implement. Models to describe the surface reflectance properties, as well as the intervening atmosphere have also been developed to improve the precision of the method. However, one limiting factor of using PICS is that an absolute calibration capability has not yet been fully developed. Because of this, PICS are primarily limited to providing only long term trending information for individual sensors or cross-calibration opportunities between two sensors. This paper builds an argument that PICS can be used more extensively for absolute calibration. To illustrate this, a simple empirical model is developed for the well-known Libya 4 PICS based on observations by Terra MODIS and EO-1 Hyperion. The model is validated by comparing model predicted top-of-atmosphere reflectance values to actual measurements made by the Landsat ETM+ sensor reflective bands. Following this, an outline is presented to develop a more comprehensive and accurate PICS absolute calibration model that can be Système international d'unités (SI) traceable. These initial concepts suggest that absolute calibration using PICS is possible on a broad scale and can lead to improved on-orbit calibration capabilities for optical satellite sensors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2013.2243738","usgsCitation":"Helder, D., Thome, K.J., Mishra, N., Chander, G., Xiong, X., Angal, A., and Choi, T., 2013, Absolute radiometric calibration of Landsat using a pseudo invariant calibration site: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 3, p. 1360-1369, https://doi.org/10.1109/TGRS.2013.2243738.","productDescription":"10 p.","startPage":"1360","endPage":"1369","ipdsId":"IP-040531","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270616,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2013.2243738"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516135d6e4b022d43fdfaa19","contributors":{"authors":[{"text":"Helder, D. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":15490,"corporation":false,"usgs":true,"family":"Helder","given":"D.","affiliations":[],"preferred":false,"id":474869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thome, K. 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