{"pageNumber":"1449","pageRowStart":"36200","pageSize":"25","recordCount":165296,"records":[{"id":70044658,"text":"70044658 - 2013 - Expert assessment of vulnerability of permafrost carbon to climate change","interactions":[],"lastModifiedDate":"2013-06-17T09:30:34","indexId":"70044658","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Expert assessment of vulnerability of permafrost carbon to climate change","docAbstract":"Approximately 1700 Pg of soil carbon (C) are stored in the northern circumpolar permafrost zone, more than twice as much C than in the atmosphere. The overall amount, rate, and form of C released to the atmosphere in a warmer world will influence the strength of the permafrost C feedback to climate change. We used a survey to quantify variability in the perception of the vulnerability of permafrost C to climate change. Experts were asked to provide quantitative estimates of permafrost change in response to four scenarios of warming. For the highest warming scenario (RCP 8.5), experts hypothesized that C release from permafrost zone soils could be 19–45 Pg C by 2040, 162–288 Pg C by 2100, and 381–616 Pg C by 2300 in CO<sub>2</sub> equivalent using 100-year CH<sub>4</sub> global warming potential (GWP). These values become 50 % larger using 20-year CH<sub>4</sub> GWP, with a third to a half of expected climate forcing coming from CH<sub>4</sub> even though CH<sub>4</sub> was only 2.3 % of the expected C release. Experts projected that two-thirds of this release could be avoided under the lowest warming scenario (RCP 2.6). These results highlight the potential risk from permafrost thaw and serve to frame a hypothesis about the magnitude of this feedback to climate change. However, the level of emissions proposed here are unlikely to overshadow the impact of fossil fuel burning, which will continue to be the main source of C emissions and climate forcing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0730-7","usgsCitation":"Schuur, E., Abbott, B., Bowden, W., Brovkin, V., Camill, P., Canadell, J., Chanton, J., Chapin, F.S., Christensen, T., Ciais, P., Crosby, B., Czimczik, C., Grosse, G., Harden, J., Hayes, D., Hugelius, G., Jastrow, J., Jones, J.B., Kleinen, T., Koven, C., Krinner, G., Kuhry, P., Lawrence, D., McGuire, A., Natali, S.M., O'Donnell, J., Ping, C., Riley, W., Rinke, A., Romanovsky, V., Sannel, A.B., Schädel, C., Schaefer, K., Sky, J., Subin, Z., Tarnocai, C., Turetsky, M., Waldrop, M., Anthony, K., Wickland, K., Wilson, C.J., and Zimov, S., 2013, Expert assessment of vulnerability of permafrost carbon to climate change: Climatic Change, v. 119, no. 2, p. 359-374, https://doi.org/10.1007/s10584-013-0730-7.","productDescription":"16 p.","startPage":"359","endPage":"374","ipdsId":"IP-037710","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-0730-7","text":"Publisher Index Page"},{"id":272247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272246,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0730-7"}],"volume":"119","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"51c02feae4b0ee1529ed3cd4","contributors":{"authors":[{"text":"Schuur, E.A.G.","contributorId":106679,"corporation":false,"usgs":true,"family":"Schuur","given":"E.A.G.","affiliations":[],"preferred":false,"id":476177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, B.W.","contributorId":23416,"corporation":false,"usgs":true,"family":"Abbott","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":476144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowden, W.B.","contributorId":83237,"corporation":false,"usgs":true,"family":"Bowden","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":476168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brovkin, V.","contributorId":94188,"corporation":false,"usgs":false,"family":"Brovkin","given":"V.","affiliations":[],"preferred":false,"id":476173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camill, P.","contributorId":78185,"corporation":false,"usgs":true,"family":"Camill","given":"P.","affiliations":[],"preferred":false,"id":476165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canadell, J.G.","contributorId":67319,"corporation":false,"usgs":true,"family":"Canadell","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":476161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chanton, J. 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III","contributorId":16776,"corporation":false,"usgs":true,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Christensen, T.R.","contributorId":81440,"corporation":false,"usgs":true,"family":"Christensen","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":476166,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ciais, P.","contributorId":39604,"corporation":false,"usgs":true,"family":"Ciais","given":"P.","affiliations":[],"preferred":false,"id":476149,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crosby, B.T.","contributorId":44442,"corporation":false,"usgs":true,"family":"Crosby","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":476151,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Czimczik, C.I.","contributorId":57274,"corporation":false,"usgs":true,"family":"Czimczik","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":476155,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":476167,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Harden, J.","contributorId":43918,"corporation":false,"usgs":true,"family":"Harden","given":"J.","email":"","affiliations":[],"preferred":false,"id":476150,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hayes, D.J.","contributorId":56074,"corporation":false,"usgs":true,"family":"Hayes","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":476154,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hugelius, G.","contributorId":27338,"corporation":false,"usgs":true,"family":"Hugelius","given":"G.","affiliations":[],"preferred":false,"id":476145,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jastrow, J.D.","contributorId":89730,"corporation":false,"usgs":true,"family":"Jastrow","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":476172,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jones, Jack B.","contributorId":65788,"corporation":false,"usgs":true,"family":"Jones","given":"Jack","middleInitial":"B.","affiliations":[],"preferred":false,"id":476159,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kleinen, Thomas 0000-0001-9550-5164","orcid":"https://orcid.org/0000-0001-9550-5164","contributorId":50427,"corporation":false,"usgs":true,"family":"Kleinen","given":"Thomas","email":"","affiliations":[{"id":32387,"text":"Max Planck Institute for Meteorology, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":476152,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Koven, C.D.","contributorId":34017,"corporation":false,"usgs":true,"family":"Koven","given":"C.D.","affiliations":[],"preferred":false,"id":476147,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Krinner, G.","contributorId":11911,"corporation":false,"usgs":true,"family":"Krinner","given":"G.","affiliations":[],"preferred":false,"id":476139,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kuhry, P.","contributorId":57277,"corporation":false,"usgs":false,"family":"Kuhry","given":"P.","affiliations":[],"preferred":false,"id":476156,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Lawrence, D.M.","contributorId":98608,"corporation":false,"usgs":true,"family":"Lawrence","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":476174,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"McGuire, A. 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P. 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":105104,"corporation":false,"usgs":true,"family":"Waldrop","given":"M. P.","affiliations":[],"preferred":false,"id":476176,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Anthony, K.M. Walter","contributorId":77443,"corporation":false,"usgs":true,"family":"Anthony","given":"K.M. Walter","affiliations":[],"preferred":false,"id":476164,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Wickland, K.P. 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":10786,"corporation":false,"usgs":true,"family":"Wickland","given":"K.P.","affiliations":[],"preferred":false,"id":476138,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Wilson, C. 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,{"id":70045677,"text":"70045677 - 2013 - Evaluation of a new model of aeolian transport in the presence of vegetation","interactions":[],"lastModifiedDate":"2013-05-14T11:05:21","indexId":"70045677","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a new model of aeolian transport in the presence of vegetation","docAbstract":"Aeolian transport is an important characteristic of many arid and semiarid regions worldwide that affects dust emission and ecosystem processes. The purpose of this paper is to evaluate a recent model of aeolian transport in the presence of vegetation. This approach differs from previous models by accounting for how vegetation affects the distribution of shear velocity on the surface rather than merely calculating the average effect of vegetation on surface shear velocity or simply using empirical relationships. Vegetation, soil, and meteorological data at 65 field sites with measurements of horizontal aeolian flux were collected from the Western United States. Measured fluxes were tested against modeled values to evaluate model performance, to obtain a set of optimum model parameters, and to estimate the uncertainty in these parameters. The same field data were used to model horizontal aeolian flux using three other schemes. Our results show that the model can predict horizontal aeolian flux with an approximate relative error of 2.1 and that further empirical corrections can reduce the approximate relative error to 1.0. The level of error is within what would be expected given uncertainties in threshold shear velocity and wind speed at our sites. The model outperforms the alternative schemes both in terms of approximate relative error and the number of sites at which threshold shear velocity was exceeded. These results lend support to an understanding of the physics of aeolian transport in which (1) vegetation's impact on transport is dependent upon the distribution of vegetation rather than merely its average lateral cover and (2) vegetation impacts surface shear stress locally by depressing it in the immediate lee of plants rather than by changing the bulk surface's threshold shear velocity. Our results also suggest that threshold shear velocity is exceeded more than might be estimated by single measurements of threshold shear stress and roughness length commonly associated with vegetated surfaces, highlighting the variation of threshold shear velocity with space and time in real landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrf.20040","usgsCitation":"Li, J., Okin, G.S., Herrick, J.E., Belnap, J., Miller, M.E., Vest, K., and Draut, A.E., 2013, Evaluation of a new model of aeolian transport in the presence of vegetation: Journal of Geophysical Research F: Earth Surface, v. 118, no. 1, p. 288-306, https://doi.org/10.1002/jgrf.20040.","productDescription":"9 p.","startPage":"288","endPage":"306","ipdsId":"IP-025701","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20040","text":"Publisher Index Page"},{"id":272217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20040"}],"volume":"118","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"53cd584ee4b0b290850f802d","chorus":{"doi":"10.1002/jgrf.20040","url":"http://dx.doi.org/10.1002/jgrf.20040","publisher":"Wiley-Blackwell","authors":"Li Junran, Okin Gregory S., Herrick Jeffrey E., Belnap Jayne, Miller Mark E., Vest Kimberly, Draut Amy E.","journalName":"Journal of Geophysical Research: Earth Surface","publicationDate":"3/2013","auditedOn":"3/7/2016"},"contributors":{"authors":[{"text":"Li, Junran","contributorId":23418,"corporation":false,"usgs":true,"family":"Li","given":"Junran","affiliations":[],"preferred":false,"id":478037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okin, Gregory S.","contributorId":50025,"corporation":false,"usgs":true,"family":"Okin","given":"Gregory","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":478038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":478036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":478041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vest, Kimberly","contributorId":83818,"corporation":false,"usgs":true,"family":"Vest","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":478040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478042,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044991,"text":"70044991 - 2013 - Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado","interactions":[],"lastModifiedDate":"2017-01-17T10:32:25","indexId":"70044991","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado","docAbstract":"<p id=\"sp0075\">The synoptic mass balance approach is often used to evaluate constituent mass loading in streams affected by mine drainage. Spatial profiles of constituent mass load are used to identify sources of contamination and prioritize sites for remedial action. This paper presents a field scale study in which replicate synoptic sampling campaigns are used to quantify the aggregate uncertainty in constituent load that arises from (1) laboratory analyses of constituent and tracer concentrations, (2) field sampling error, and (3) temporal variation in concentration from diel constituent cycles and/or source variation. Consideration of these factors represents an advance in the application of the synoptic mass balance approach by placing error bars on estimates of constituent load and by allowing all sources of uncertainty to be quantified in aggregate; previous applications of the approach have provided only point estimates of constituent load and considered only a subset of the possible errors. Given estimates of aggregate uncertainty, site specific data and expert judgement may be used to qualitatively assess the contributions of individual factors to uncertainty. This assessment can be used to guide the collection of additional data to reduce uncertainty. Further, error bars provided by the replicate approach can aid the investigator in the interpretation of spatial loading profiles and the subsequent identification of constituent source areas within the watershed.</p><p id=\"sp0080\">The replicate sampling approach is applied to Peru Creek, a stream receiving acidic, metal-rich effluent from the Pennsylvania Mine. Other sources of acidity and metals within the study reach include a wetland area adjacent to the mine and tributary inflow from Cinnamon Gulch. Analysis of data collected under low-flow conditions indicates that concentrations of Al, Cd, Cu, Fe, Mn, Pb, and Zn in Peru Creek exceed aquatic life standards. Constituent loading within the study reach is dominated by effluent from the Pennsylvania Mine, with over 50% of the Cd, Cu, Fe, Mn, and Zn loads attributable to a collapsed adit near the top of the study reach. These estimates of mass load may underestimate the effect of the Pennsylvania Mine as leakage from underground mine workings may contribute to metal loads that are currently attributed to the wetland area. This potential leakage confounds the evaluation of remedial options and additional research is needed to determine the magnitude and location of the leakage.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.02.031","usgsCitation":"Runkel, R.L., Walton-Day, K., Kimball, B.A., Verplanck, P.L., and Nimick, D.A., 2013, Estimating instream constituent loads using replicate synoptic sampling, Peru Creek, Colorado: Journal of Hydrology, v. 489, p. 26-41, https://doi.org/10.1016/j.jhydrol.2013.02.031.","productDescription":"16 p.","startPage":"26","endPage":"41","ipdsId":"IP-044174","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":272199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Peru Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.8287239074707,\n              39.59451160220633\n            ],\n            [\n              -105.8287239074707,\n              39.61144109709137\n            ],\n            [\n              -105.80074310302734,\n              39.61144109709137\n            ],\n            [\n              -105.80074310302734,\n              39.59451160220633\n            ],\n            [\n              -105.8287239074707,\n              39.59451160220633\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"489","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5804e4b0b290850f7d13","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":476579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045330,"text":"70045330 - 2013 - Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA","interactions":[],"lastModifiedDate":"2013-05-14T15:52:30","indexId":"70045330","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA","docAbstract":"American eel (Anguilla rostrata), a once common species, is now in decline throughout much of its native range in North America. There is little information on the role of American eel in river food webs. A better understanding of the diet and ecological role of American eel will help in the conservation of this important species. During autumn 2009, eel and aquatic invertebrate samples were collected from Hannacroix Creek, a tributary of the Hudson River, in Albany and Greene counties, New York, USA. Eel diet was analyzed by the eel size and time period (day or night). A high proportion of eel stomachs were empty (73%). Eel diets varied among size classes and day and night feeding periods (p = 0.001). Diet overlap was significant between small and medium eels caught both during the day (α = 0.71) and at night (α = 0.84). Nocturnal diet and nocturnal invertebrate samples were similar (α = 0.65), indicating a preference for bottom feeding during the night. Mayfly nymphs were the major prey consumed in each period by all size classes. Among eels that fed, night-feeding eels had the greatest stomach weight (as a percent of total body weight). The swim-bladder parasite, Anguillicoloides crassus, was also observed in eels of all size classes with nearly 50% afflicted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Freshwater Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2012.706755","usgsCitation":"Waldt, E.M., Abbett, R., Johnson, J.H., Dittman, D.E., and McKenna, J., 2013, Fall diel diet composition of American eel (Anguilla rostrata) in a tributary of the Hudson River, New York, USA: Journal of Freshwater Ecology, v. 28, no. 1, p. 91-98, https://doi.org/10.1080/02705060.2012.706755.","productDescription":"8 p.","startPage":"91","endPage":"98","ipdsId":"IP-038764","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2012.706755","text":"Publisher Index Page"},{"id":272272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02705060.2012.706755"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8,40.5 ], [ -79.8,45.0 ], [ -72.0,45.0 ], [ -72.0,40.5 ], [ -79.8,40.5 ] ] ] } } ] }","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5905e4b0b290850f8771","contributors":{"authors":[{"text":"Waldt, Emily M. ewaldt@usgs.gov","contributorId":4358,"corporation":false,"usgs":true,"family":"Waldt","given":"Emily","email":"ewaldt@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":477238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":477241,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045131,"text":"70045131 - 2013 - Field measurement of basal forces generated by erosive debris flows","interactions":[],"lastModifiedDate":"2013-07-29T09:25:19","indexId":"70045131","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Field measurement of basal forces generated by erosive debris flows","docAbstract":"It has been proposed that debris flows cut bedrock valleys in steeplands worldwide, but field measurements needed to constrain mechanistic models of this process remain sparse due to the difficulty of instrumenting natural flows. Here we present and analyze measurements made using an automated sensor network, erosion bolts, and a 15.24 cm by 15.24 cm force plate installed in the bedrock channel floor of a steep catchment. These measurements allow us to quantify the distribution of basal forces from natural debris‒flow events that incised bedrock. Over the 4 year monitoring period, 11 debris‒flow events scoured the bedrock channel floor. No clear water flows were observed. Measurements of erosion bolts at the beginning and end of the study indicated that the bedrock channel floor was lowered by 36 to 64 mm. The basal force during these erosive debris‒flow events had a large‒magnitude (up to 21 kN, which was approximately 50 times larger than the concurrent time‒averaged mean force), high‒frequency (greater than 1 Hz) fluctuating component. We interpret these fluctuations as flow particles impacting the bed. The resulting variability in force magnitude increased linearly with the time‒averaged mean basal force. Probability density functions of basal normal forces were consistent with a generalized Pareto distribution, rather than the exponential distribution that is commonly found in experimental and simulated monodispersed granular flows and which has a lower probability of large forces. When the bed sediment thickness covering the force plate was greater than ~ 20 times the median bed sediment grain size, no significant fluctuations about the time‒averaged mean force were measured, indicating that a thin layer of sediment (~ 5 cm in the monitored cases) can effectively shield the subjacent bed from erosive impacts. Coarse‒grained granular surges and water‒rich, intersurge flow had very similar basal force distributions despite differences in appearance and bulk‒flow density. These results demonstrate that debris flows can have strong control on rates of steepland evolution and contribute to a foundation needed for modeling debris‒flow incision stochastically.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrf.20041","usgsCitation":"McCoy, S., Tucker, G., Kean, J., and Coe, J.A., 2013, Field measurement of basal forces generated by erosive debris flows: Journal of Geophysical Research F: Earth Surface, v. 118, no. 2, p. 589-602, https://doi.org/10.1002/jgrf.20041.","productDescription":"14 p.","startPage":"589","endPage":"602","ipdsId":"IP-041443","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrf.20041","text":"Publisher Index Page"},{"id":272278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272277,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20041"}],"volume":"118","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-14","publicationStatus":"PW","scienceBaseUri":"51f78ee6e4b02e26443a9378","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":476904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":476905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":476903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476902,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045817,"text":"70045817 - 2013 - Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata)","interactions":[],"lastModifiedDate":"2020-09-23T13:19:07.809685","indexId":"70045817","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Newly documented host fishes for the eastern elliptio mussel (<i>Elliptio complanata</i>)","title":"Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata)","docAbstract":"<p><span>The eastern elliptio&nbsp;</span><i>Elliptio complanata</i><span>&nbsp;is a common, abundant, and ecologically important freshwater mussel that occurs throughout the Atlantic Slope drainage in the United States and Canada. Previous research has shown&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia to be host fish generalists, parasitizing yellow perch&nbsp;</span><i>Perca flavescens</i><span>, banded killifish&nbsp;</span><i>Fundulus diaphanus</i><span>, banded sculpin&nbsp;</span><i>Cottus carolinae</i><span>, and seven centrarchid species. Past laboratory studies have been conducted in the Midwest; however, glochidia used in these studies were obtained from adult mussels in the Great Lakes or St. Lawrence River basins, or glochidia sources were not reported. The objective of this study was to identify host fishes for&nbsp;</span><i>E. complanata</i><span>&nbsp;from streams in the Mid-Atlantic region. We used artificial laboratory infections to test host suitability of 38 fish and 2 amphibian species with&nbsp;</span><i>E. complanata</i><span>&nbsp;glochidia from the Chesapeake Bay drainage. Glochidia successfully metamorphosed into juvenile mussels on five fish species: American eel&nbsp;</span><i>Anguilla rostrata</i><span>, brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>, lake trout&nbsp;</span><i>Salvelinus namaycush</i><span>, mottled sculpin&nbsp;</span><i>Cottus bairdii</i><span>, and slimy sculpin&nbsp;</span><i>Cottus cognatus</i><span>. American eel was the most effective host, yielding the highest overall metamorphosis success (percentage of attached glochidia that transformed into juvenile mussels; ≥0.90) and producing 13.2 juveniles per fish overall. No juvenile&nbsp;</span><i>E. complanata</i><span>&nbsp;metamorphosed on other fish or amphibian species tested, including many previously identified host fishes that appear in the literature. Reasons for discrepancies in published host fish could include geographic variation in host use across the species' range, differences in host use between lentic and lotic populations, or poorly resolved taxonomy within the genus&nbsp;</span><i>Elliptio</i><span>.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102012-JFWM-094","usgsCitation":"Lellis, W.A., St. John White, B., Cole, J.C., Johnson, C.S., Devers, J.L., van Snik-Gray, E., and Galbraith, H.S., 2013, Newly documented host fishes for the eastern elliptio mussel (Elliptio complanata): Journal of Fish and Wildlife Management, v. 4, no. 1, p. 75-85, https://doi.org/10.3996/102012-JFWM-094.","productDescription":"11 p.","startPage":"75","endPage":"85","ipdsId":"IP-044908","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102012-jfwm-094","text":"Publisher Index Page"},{"id":272264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff3e4b0ee1529ed3d30","contributors":{"authors":[{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":799448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":799447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":799449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Connie S.","contributorId":241063,"corporation":false,"usgs":false,"family":"Johnson","given":"Connie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":799450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devers, Julie L.","contributorId":218866,"corporation":false,"usgs":false,"family":"Devers","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":799451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Snik-Gray, Ellen","contributorId":241064,"corporation":false,"usgs":false,"family":"van Snik-Gray","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":799452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":478386,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045516,"text":"70045516 - 2013 - Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load","interactions":[],"lastModifiedDate":"2013-05-14T16:15:51","indexId":"70045516","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load","docAbstract":"1. The ability to store energy endogenously is an important ecological mechanism that allows animals to buffer predictable and unpredictable variation in allostatic load. The secretion of glucocorticoids, which reflects changes in allostatic load, is suggested to play a major role in the adjustment of endogenous stores to these varying conditions.\n2. Although crucially important, the relationship between allostatic load and energy stores remains largely unexplored. Two contrasting hypotheses describe how stores may be adjusted: animals may use low allostatic loads to increase stores to a maximum possible (‘fat and fit’), or they can attain a lean physique due to fitness advantages of a low body mass (‘lean and fit’).\n3. We compiled observational and experimental data available for a long-lived seabird to examine the relationship between glucocorticoids and stored energy at two life history stages (incubation and chick-rearing). Data were collected across multiple years and colonies in the North Pacific, thereby reflecting the wide range of environmental conditions birds' encounter in the marine environment. During experimental manipulations, allostatic load was minimized by supplementing food to free-living birds.\n4. We found that the relationship between allostatic load and energy stores was clearly curvilinear at both life history stages. Observational data suggested that energy stores remained relatively stable under low allostatic load and decreased under high loads. Experimental data showed that birds did not maximize energy stores under favourable conditions but maintained energy stores below a physiologically attainable level.\n5. Energy stores remained consistently lower during chick-rearing compared to incubation across the wide range of variations in allostatic load suggesting that stage-specific trade-offs limit the accumulation of energy during favourable environmental conditions. Secretion of glucocorticoids did not appear to mediate this shift in energy stores between the life history stages.\n6. Overall, results of this study support the ‘lean and fit’ hypothesis. We conclude that increased energy stores may not necessarily reflect better environmental conditions experienced by individuals or predict their higher fitness. A major advantage of adopting a lean physique when environmental conditions allow may be the avoidance of additional energetic costs for moving a heavy body. In breeding seabirds, this advantage may be more important during chick-rearing. In the focal species, the secretion of glucocorticoids might be involved in regulation of energy stores within a life history stage but does not appear to mediate an adaptive shift in energy stores between the incubating and chick-rearing stages of reproduction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Functional Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2435.2012.02058.x","usgsCitation":"Schultner, J., Kitaysky, A.S., Welcker, J., and Hatch, S., 2013, Fat or lean: adjustment of endogenous energy stores to predictable and unpredictable changes in allostatic load: Functional Ecology, v. 27, no. 1, p. 45-55, https://doi.org/10.1111/j.1365-2435.2012.02058.x.","productDescription":"11 p.","startPage":"45","endPage":"55","ipdsId":"IP-042338","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":499925,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/fat-or-lean-adjustment-of-endogenous-energy-stores-to-predictable","text":"External Repository"},{"id":272276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272275,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2435.2012.02058.x"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-08","publicationStatus":"PW","scienceBaseUri":"53cd590de4b0b290850f87c3","contributors":{"authors":[{"text":"Schultner, Jannik","contributorId":77028,"corporation":false,"usgs":true,"family":"Schultner","given":"Jannik","email":"","affiliations":[],"preferred":false,"id":477704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitaysky, Alexander S.","contributorId":13884,"corporation":false,"usgs":true,"family":"Kitaysky","given":"Alexander","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":477701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welcker, Jorg","contributorId":25441,"corporation":false,"usgs":true,"family":"Welcker","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":477703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":16268,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","affiliations":[],"preferred":false,"id":477702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045946,"text":"70045946 - 2013 - Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors","interactions":[],"lastModifiedDate":"2013-06-17T09:35:00","indexId":"70045946","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors","docAbstract":"Mercury (Hg) bioaccumulation factors (BAFs) for game fishes are widely employed for monitoring, assessment, and regulatory purposes. Mercury BAFs are calculated as the fish Hg concentration (Hg<sub>fish</sub>) divided by the water Hg concentration (Hg<sub>water</sub>) and, consequently, are sensitive to sampling and analysis artifacts for fish and water. We evaluated the influence of water sample timing, filtration, and mercury species on the modeled relation between game fish and water mercury concentrations across 11 streams and rivers in five states in order to identify optimum Hg<sub>water</sub> sampling approaches. Each model included fish trophic position, to account for a wide range of species collected among sites, and flow-weighted Hg<sub>water</sub> estimates. Models were evaluated for parsimony, using Akaike’s Information Criterion. Better models included filtered water methylmercury (FMeHg) or unfiltered water methylmercury (UMeHg), whereas filtered total mercury did not meet parsimony requirements. Models including mean annual FMeHg were superior to those with mean FMeHg calculated over shorter time periods throughout the year. FMeHg models including metrics of high concentrations (80th percentile and above) observed during the year performed better, in general. These higher concentrations occurred most often during the growing season at all sites. Streamflow was significantly related to the probability of achieving higher concentrations during the growing season at six sites, but the direction of influence varied among sites. These findings indicate that streamwater Hg collection can be optimized by evaluating site-specific FMeHg - UMeHg relations, intra-annual temporal variation in their concentrations, and streamflow-Hg dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es303758e","usgsCitation":"Riva-Murray, K., Bradley, P.M., Journey, C.A., Brigham, M.E., Scudder Eikenberry, B.C., Knightes, C., and Button, D.T., 2013, Optimizing stream water mercury sampling for calculation of fish bioaccumulation factors: Environmental Science & Technology, v. 47, no. 11, p. 5904-5912, https://doi.org/10.1021/es303758e.","productDescription":"9 p.","startPage":"5904","endPage":"5912","ipdsId":"IP-041712","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":473826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es303758e","text":"Publisher Index Page"},{"id":272251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273767,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303758e"}],"volume":"47","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"51c02ff3e4b0ee1529ed3d38","chorus":{"doi":"10.1021/es303758e","url":"http://dx.doi.org/10.1021/es303758e","publisher":"American Chemical Society (ACS)","authors":"Riva-Murray Karen, Bradley Paul M., Scudder Eikenberry Barbara C., Knightes Christopher D., Journey Celeste A., Brigham Mark E., Button Daniel T.","journalName":"Environmental Science & Technology","publicationDate":"6/4/2013","auditedOn":"3/4/2016","publiclyAccessibleDate":"1/1/1999"},"contributors":{"authors":[{"text":"Riva-Murray, Karen","contributorId":85650,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","affiliations":[],"preferred":false,"id":478589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scudder Eikenberry, Barbara C.","contributorId":63771,"corporation":false,"usgs":true,"family":"Scudder Eikenberry","given":"Barbara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":478588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knightes, Christopher","contributorId":52476,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","affiliations":[],"preferred":false,"id":478587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478585,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045953,"text":"ofr20131110 - 2013 - Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012","interactions":[],"lastModifiedDate":"2016-05-17T09:05:40","indexId":"ofr20131110","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1110","title":"Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012","docAbstract":"<p><span>Wild-spawned white sturgeon (</span><i>Acipenser transmontanus</i><span>) larvae captured and reared in aquaculture facilities and subsequently released, are increasingly being used in sturgeon restoration programs in the Columbia River Basin. A reconnaissance study was conducted to determine where to deploy nets to capture white sturgeon larvae downstream of a known white sturgeon spawning area. As a result of the study, 103 white sturgeon larvae and 5 newly hatched free-swimming embryos were captured at 3 of 5 reconnaissance netting sites. The netting, conducted downstream of The Dalles Dam on the Columbia River during June 25&ndash;29, 2012, provided information for potentially implementing full-scale collection efforts of large numbers of larvae for rearing in aquaculture facilities and for subsequent release at a larger size in white sturgeon restoration programs.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131110","collaboration":"Prepared in cooperation with the Chelan County Public Utility District","usgsCitation":"Parsley, M.J., and Kofoot, E., 2013, Capture of white sturgeon larvae downstream of The Dalles Dam, Columbia River, Oregon and Washington, 2012: U.S. Geological Survey Open-File Report 2013-1110, iv, 14 p., https://doi.org/10.3133/ofr20131110.","productDescription":"iv, 14 p.","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131110.jpg"},{"id":272260,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1110/"},{"id":272261,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1110/pdf/ofr20131110.pdf","text":"Report","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Dalles Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.08,46.13 ], [ -124.08,46.34 ], [ -123.48,46.34 ], [ -123.48,46.13 ], [ -124.08,46.13 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5026e4b0b290850f3296","contributors":{"authors":[{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":478596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, Eric","contributorId":9939,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","affiliations":[],"preferred":false,"id":478597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045947,"text":"70045947 - 2013 - Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds","interactions":[],"lastModifiedDate":"2013-05-14T15:09:44","indexId":"70045947","displayToPublicDate":"2013-05-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2362,"text":"Journal of Irrigation and Drainage Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds","docAbstract":"The rational method for peak discharge (Q<sub>p</sub>) estimation was introduced in the 1880s. The runoff coefficient (C) is a key parameter for the rational method that has an implicit meaning of rate proportionality, and the C has been declared a function of the annual return period by various researchers. Rate-based runoff coefficients as a function of the return period, C(T), were determined for 36 undeveloped watersheds in Texas using peak discharge frequency from previously published regional regression equations and rainfall intensity frequency for return periods T of 2, 5, 10, 25, 50, and 100 years. The C(T) values and return period adjustments C(T)/C(T=10  year) determined in this study are most applicable to undeveloped watersheds. The return period adjustments determined for the Texas watersheds in this study and those extracted from prior studies of non-Texas data exceed values from well-known literature such as design manuals and textbooks. Most importantly, the return period adjustments exceed values currently recognized in Texas Department of Transportation design guidance when T>10  years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Irrigation and Drainage Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)IR.1943-4774.0000571","usgsCitation":"Dhakal, N., Fang, X., Asquith, W.H., Cleveland, T., and Thompson, D.B., 2013, Return period adjustment for runoff coefficients based on analysis in undeveloped Texas watersheds: Journal of Irrigation and Drainage Engineering, v. 139, no. 6, p. 476-482, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000571.","productDescription":"7 p.","startPage":"476","endPage":"482","ipdsId":"IP-042345","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":272266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000571"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.6,25.8 ], [ -106.6,36.5 ], [ -93.5,36.5 ], [ -93.5,25.8 ], [ -106.6,25.8 ] ] ] } } ] }","volume":"139","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd70e0e4b0b29085107537","contributors":{"authors":[{"text":"Dhakal, Nirajan","contributorId":93796,"corporation":false,"usgs":true,"family":"Dhakal","given":"Nirajan","email":"","affiliations":[],"preferred":false,"id":478594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, Xing","contributorId":27134,"corporation":false,"usgs":true,"family":"Fang","given":"Xing","email":"","affiliations":[],"preferred":false,"id":478591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":478593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, David B.","contributorId":79954,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":478592,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045945,"text":"70045945 - 2013 - Regional patterns and proximal causes of the recent snowpack decline in the Rocky Mountains, U.S.","interactions":[],"lastModifiedDate":"2013-06-17T09:28:15","indexId":"70045945","displayToPublicDate":"2013-05-14T00:00:00","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":"Regional patterns and proximal causes of the recent snowpack decline in the Rocky Mountains, U.S.","docAbstract":"We used a first-order, monthly snow model and observations to disentangle seasonal influences on 20th century,regional snowpack anomalies in the Rocky Mountains of western North America, where interannual variations in cool-season (November–March) temperatures are broadly synchronous, but precipitation is typically antiphased north to south and uncorrelated with temperature. Over the previous eight centuries, regional snowpack variability exhibits strong, decadally persistent north-south (N-S) antiphasing of snowpack anomalies. Contrary to the normal regional antiphasing, two intervals of spatially synchronized snow deficits were identified. Snow deficits shown during the 1930s were synchronized north-south by low cool-season precipitation, with spring warming (February–March) since the 1980s driving the majority of the recent synchronous snow declines, especially across the low to middle elevations. Spring warming strongly influenced low snowpacks in the north after 1958, but not in the south until after 1980. The post-1980, synchronous snow decline reduced snow cover at low to middle elevations by ~20% and partly explains earlier and reduced streamflow and both longer and more active fire seasons. Climatologies of Rocky Mountain snowpack are shown to be seasonally and regionally complex, with Pacific decadal variability positively reinforcing the anthropogenic warming trend.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/grl.50424","usgsCitation":"Pederson, G.T., Betancourt, J.L., and McCabe, G., 2013, Regional patterns and proximal causes of the recent snowpack decline in the Rocky Mountains, U.S.: Geophysical Research Letters, v. 40, no. 9, p. 1811-1816, https://doi.org/10.1002/grl.50424.","productDescription":"6 p.","startPage":"1811","endPage":"1816","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272194,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50424"}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.5,29.1 ], [ -127.5,49.0 ], [ -102.4,49.0 ], [ -102.4,29.1 ], [ -127.5,29.1 ] ] ] } } ] }","volume":"40","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-05-12","publicationStatus":"PW","scienceBaseUri":"51c02ff5e4b0ee1529ed3d49","contributors":{"authors":[{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":478581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":478580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":70045078,"text":"70045078 - 2013 - Estimating economic losses from earthquakes using an empirical approach","interactions":[],"lastModifiedDate":"2013-05-12T21:46:04","indexId":"70045078","displayToPublicDate":"2013-05-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Estimating economic losses from earthquakes using an empirical approach","docAbstract":"We extended the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response (PAGER) empirical fatality estimation methodology proposed by Jaiswal et al. (2009) to rapidly estimate economic losses after significant earthquakes worldwide. The requisite model inputs are shaking intensity estimates made by the ShakeMap system, the spatial distribution of population available from the LandScan database, modern and historic country or sub-country population and Gross Domestic Product (GDP) data, and economic loss data from Munich Re's historical earthquakes catalog. We developed a strategy to approximately scale GDP-based economic exposure for historical and recent earthquakes in order to estimate economic losses. The process consists of using a country-specific multiplicative factor to accommodate the disparity between economic exposure and the annual per capita GDP, and it has proven successful in hindcast-ing past losses. Although loss, population, shaking estimates, and economic data used in the calibration process are uncertain, approximate ranges of losses can be estimated for the primary purpose of gauging the overall scope of the disaster and coordinating response. The proposed methodology is both indirect and approximate and is thus best suited as a rapid loss estimation model for applications like the PAGER system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EERI","doi":"10.1193/1.4000104","usgsCitation":"Jaiswal, K., and Wald, D.J., 2013, Estimating economic losses from earthquakes using an empirical approach: Earthquake Spectra, v. 29, no. 1, p. 309-324, https://doi.org/10.1193/1.4000104.","productDescription":"16 p.","startPage":"309","endPage":"324","ipdsId":"IP-037500","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272190,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.4000104"}],"volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"5190abcee4b05ebc8f7cc329","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":476745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045934,"text":"70045934 - 2013 - Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats","interactions":[],"lastModifiedDate":"2013-05-11T23:50:49","indexId":"70045934","displayToPublicDate":"2013-05-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats","docAbstract":"Movement strategies of small forage fish (<8 cm total length) between temporary and permanent wetland habitats affect their overall population growth and biomass concentrations, i.e., availability to predators. These fish are often the key energy link between primary producers and top predators, such as wading birds, which require high concentrations of stranded fish in accessible depths. Expansion and contraction of seasonal wetlands induce a sequential alternation between rapid biomass growth and concentration, creating the conditions for local stranding of small fish as they move in response to varying water levels. To better understand how landscape topography, hydrology, and fish behavior interact to create high densities of stranded fish, we first simulated population dynamics of small fish, within a dynamic food web, with different traits for movement strategy and growth rate, across an artificial, spatially explicit, heterogeneous, two-dimensional marsh slough landscape, using hydrologic variability as the driver for movement. Model output showed that fish with the highest tendency to invade newly flooded marsh areas built up the largest populations over long time periods with stable hydrologic patterns. A higher probability to become stranded had negative effects on long-term population size, and offset the contribution of that species to stranded biomass. The model was next applied to the topography of a 10 km × 10 km area of Everglades landscape. The details of the topography were highly important in channeling fish movements and creating spatiotemporal patterns of fish movement and stranding. This output provides data that can be compared in the future with observed locations of fish biomass concentrations, or such surrogates as phosphorus ‘hotspots’ in the marsh.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.11.001","usgsCitation":"Yurek, S., DeAngelis, D., Trexler, J.C., Jopp, F., and Donalson, D.D., 2013, Simulating mechanisms for dispersal, production and stranding of small forage fish in temporary wetland habitats: Ecological Modelling, v. 250, p. 391-401, https://doi.org/10.1016/j.ecolmodel.2012.11.001.","productDescription":"11 p.","startPage":"391","endPage":"401","ipdsId":"IP-038780","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272188,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.11.001"}],"volume":"250","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518f5a51e4b05ebc8f7cc30a","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":478554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":478551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jopp, Fred","contributorId":62336,"corporation":false,"usgs":true,"family":"Jopp","given":"Fred","email":"","affiliations":[],"preferred":false,"id":478552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donalson, Douglas D.","contributorId":74660,"corporation":false,"usgs":true,"family":"Donalson","given":"Douglas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478553,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045935,"text":"sir20135079 - 2013 - Groundwater depletion in the United States (1900−2008)","interactions":[],"lastModifiedDate":"2018-05-22T09:57:25","indexId":"sir20135079","displayToPublicDate":"2013-05-10T00:00:00","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":"2013-5079","title":"Groundwater depletion in the United States (1900−2008)","docAbstract":"A natural consequence of groundwater withdrawals is the removal of water from subsurface storage, but the overall rates and magnitude of groundwater depletion in the United States are not well characterized. This study evaluates long-term cumulative depletion volumes in 40 separate aquifers or areas and one land use category in the United States, bringing together information from the literature and from new analyses. Depletion is directly calculated using calibrated groundwater models, analytical approaches, or volumetric budget analyses for multiple aquifer systems. Estimated groundwater depletion in the United States during 1900–2008 totals approximately 1,000 cubic kilometers (km<sup>3</sup>). Furthermore, the rate of groundwater depletion has increased markedly since about 1950, with maximum rates occurring during the most recent period (2000–2008) when the depletion rate averaged almost 25 km<sup>3</sup> per year (compared to 9.2 km<sup>3</sup> per year averaged over the 1900–2008 timeframe).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135079","usgsCitation":"Konikow, L.F., 2013, Groundwater depletion in the United States (1900−2008): U.S. Geological Survey Scientific Investigations Report 2013-5079, viii, 65 p., https://doi.org/10.3133/sir20135079.","productDescription":"viii, 65 p.","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1900-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":436,"text":"National Research Program - Eastern 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,{"id":70045937,"text":"ofr20131055 - 2013 - National assessment of geologic carbon dioxide storage resources: methodology implementation","interactions":[],"lastModifiedDate":"2013-10-30T13:32:59","indexId":"ofr20131055","displayToPublicDate":"2013-05-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1055","title":"National assessment of geologic carbon dioxide storage resources: methodology implementation","docAbstract":"In response to the 2007 Energy Independence and Security Act, the U.S. Geological Survey (USGS) conducted a national assessment of potential geologic storage resources for carbon dioxide (CO2). 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This report provides updates and implementation details of the assessment methodology of Brennan and others (2010, http://pubs.usgs.gov/of/2010/1127/) and describes the probabilistic model used to calculate potential storage resources in subsurface saline formations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131055","usgsCitation":"Blondes, M., Brennan, S.T., Merrill, M., Buursink, M.L., Warwick, P.D., Cahan, S.M., Corum, M., Cook, T.A., Craddock, W.H., DeVera, C.A., Drake, R.M., Drew, L.J., Freeman, P., Lohr, C., Olea, R., Roberts-Ashby, T., Slucher, E.R., and Varela, B., 2013, National assessment of geologic carbon dioxide storage resources: methodology implementation: U.S. Geological Survey Open-File Report 2013-1055, vii, 27 p., https://doi.org/10.3133/ofr20131055.","productDescription":"vii, 27 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy 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,{"id":70045932,"text":"ofr20121038 - 2013 - Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions","interactions":[],"lastModifiedDate":"2016-05-04T14:44:24","indexId":"ofr20121038","displayToPublicDate":"2013-05-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1038","title":"Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions","docAbstract":"<p>Geographic Information Systems (GIS) layers of current, and likely former, tidal wetlands in two Oregon estuaries were generated by enhancing the 2010 National Wetlands Inventory (NWI) data with expert local field knowledge, Light Detection and Ranging-derived elevations, and 2009 aerial orthophotographs. Data were generated for two purposes: First, to enhance the NWI by recommending revised Cowardin classifications for certain NWI wetlands within the study area; and second, to generate GIS data for the 1999 Yaquina and Alsea River Basins Estuarine Wetland Site Prioritization study. Two sets of GIS products were generated: (1) enhanced NWI shapefiles; and (2) shapefiles of prioritization sites. The enhanced NWI shapefiles contain recommended changes to the Cowardin classification (system, subsystem, class, and/or modifiers) for 286 NWI polygons in the Yaquina estuary (1,133 acres) and 83 NWI polygons in the Alsea estuary (322 acres). These enhanced NWI shapefiles also identify likely former tidal wetlands that are classified as upland in the current NWI (64 NWI polygons totaling 441 acres in the Yaquina estuary; 16 NWI polygons totaling 51 acres in the Alsea estuary). The former tidal wetlands were identified to assist strategic planning for tidal wetland restoration. Cowardin classifications for the former tidal wetlands were not provided, because their current hydrology is complex owing to dikes, tide gates, and drainage ditches. The scope of this project did not include the field evaluation that would be needed to determine whether the former tidal wetlands are currently wetlands, and if so, determine their correct Cowardin classification. The prioritization site shapefiles contain 49 prioritization sites totaling 2,177 acres in the Yaquina estuary, and 39 prioritization sites totaling 1,045 acres in the Alsea estuary. The prioritization sites include current and former (for example, diked) tidal wetlands, and provide landscape units appropriate for basin-scale wetland restoration and conservation action planning. Several new prioritization sites (not included in the 1999 prioritization) were identified in each estuary, consisting of NWI polygons formerly classified as nontidal wetland or upland. The GIS products of this project improve the accuracy and utility of the NWI data, and provide useful tools for estuarine resource management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121038","collaboration":"Prepared in cooperation with Green Point Consulting and the U.S. Environmental Protection Agency","usgsCitation":"Brophy, L.S., Reusser, D.A., and Janousek, C.N., 2013, Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions: U.S. Geological Survey Open-File Report 2012-1038, vi, 60 p., https://doi.org/10.3133/ofr20121038.","productDescription":"vi, 60 p.","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121038.gif"},{"id":272323,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1038/"},{"id":272176,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1038/pdf/ofr2012-1038.pdf","text":"Report","size":"18.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon","otherGeospatial":"Yaquina And Alsea Estuaries","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.16,44.16 ], [ -124.16,44.5 ], [ -123.5,44.5 ], [ -123.5,44.16 ], [ -124.16,44.16 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518e08f7e4b05ebc8f7cc2de","contributors":{"authors":[{"text":"Brophy, Laura S.","contributorId":47266,"corporation":false,"usgs":false,"family":"Brophy","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":547809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":478549,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045928,"text":"fs20133027 - 2013 - Wildlife disease and environmental health in Alaska","interactions":[],"lastModifiedDate":"2018-08-21T15:08:27","indexId":"fs20133027","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3027","title":"Wildlife disease and environmental health in Alaska","docAbstract":"Environmental health is defined by connections between the physical environment, ecological health, and human health. Current research within the U.S. Geological Survey (USGS) recognizes the importance of this integrated research philosophy, which includes study of disease and pollutants as they pertain to wildlife and humans. Due to its key geographic location and significant wildlife resources, Alaska is a critical area for future study of environmental health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133027","usgsCitation":"Van Hemert, C.R., Pearce, J.M., Oakley, K., and Whalen, M.E., 2013, Wildlife disease and environmental health in Alaska: U.S. Geological Survey Fact Sheet 2013-3027, 4 p., https://doi.org/10.3133/fs20133027.","productDescription":"4 p.","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":272148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133027.jpg"},{"id":272147,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3027/pdf/fs20133027.pdf"},{"id":272146,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3027/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cb762e4b05ebc8f7cc0f8","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":478545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","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":478547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, Karen","contributorId":63517,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","affiliations":[],"preferred":false,"id":478544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":478546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":70044996,"text":"70044996 - 2013 - Effects of mining-associated lead and zinc soil contamination on native floristic quality","interactions":[],"lastModifiedDate":"2013-05-09T13:59:21","indexId":"70044996","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of mining-associated lead and zinc soil contamination on native floristic quality","docAbstract":"We assessed the quality of plant communities across a range of lead (Pb) and zinc (Zn) soil concentrations at a variety of sites associated with Pb mining in southeast Missouri, USA. In a novel application, two standard floristic quality measures, Mean Coefficient of Conservatism (Mean C) and Floristic Quality Index (FQI), were examined in relation to concentrations of Pb and Zn, soil nutrients, and other soil characteristics. Nonmetric Multidimensional Scaling and Regression Tree Analyses identified soil Pb and Zn concentrations as primary explanatory variables for plant community composition and indicated negative relationships between soil metals concentrations and both Mean C and FQI. Univariate regression also demonstrated significant negative relationships between metals concentrations and floristic quality. The negative effects of metals in native soils with otherwise relatively undisturbed conditions indicate that elevated soil metals concentrations adversely affect native floristic quality where no other human disturbance is evident.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2013.01.021","usgsCitation":"Struckhoff, M.A., Stroh, E.D., and Grabner, K.W., 2013, Effects of mining-associated lead and zinc soil contamination on native floristic quality: Journal of Environmental Management, v. 119, p. 20-28, https://doi.org/10.1016/j.jenvman.2013.01.021.","productDescription":"9 p.","startPage":"20","endPage":"28","ipdsId":"IP-041138","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":272156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272155,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2013.01.021"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cb761e4b05ebc8f7cc0f4","contributors":{"authors":[{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stroh, Esther D. 0000-0003-4291-4647 estroh@usgs.gov","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":2813,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","email":"estroh@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabner, Keith W. kgrabner@usgs.gov","contributorId":1747,"corporation":false,"usgs":true,"family":"Grabner","given":"Keith","email":"kgrabner@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044603,"text":"70044603 - 2013 - Ecotoxicology of organochlorine chemicals in birds of the Great Lakes","interactions":[],"lastModifiedDate":"2013-05-09T09:28:37","indexId":"70044603","displayToPublicDate":"2013-05-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ecotoxicology of organochlorine chemicals in birds of the Great Lakes","docAbstract":"Silent Spring was fulfilled in the United States with passage of environmental legislation such as the Clean Water Act, the Federal Insecticide, Fungicide, and Rodenticide Act, and the Toxic Substance Control Act in the 1970s. Carson's writings, television interviews, and testimony before Congress alerted a nation and the world to the unintended effects of persistent, bioaccumulative chemicals on populations of fish, wildlife, and possibly humans. Her writings in the popular press brought attention to scientific findings that declines in populations of a variety of birds were directly linked to the widespread use of dichlorodiphenyltrichloroethane (DDT) in agriculture, public health, and horticulture. By the 1970s, DDT and other persistent organic pollutants (POPs) were being banned or phased out, and the intent of these regulatory acts became apparent in a number of locations across the United States, including the Great Lakes. Concentrations of DDT and its major product of transformation, dichlorodiphenylchloroethane (DDE), were decreasing in top predators, such as bald eagles (Haliaeetus leucocephalus), osprey (Pandion haliaetus), colonial waterbirds, and other fish-eating wildlife. Eggshell thinning and the associated mortality of bird embryos caused by DDE had decreased in the Great Lakes and elsewhere by the early 1980s.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2109","usgsCitation":"Tillitt, D.E., and Giesy, J.P., 2013, Ecotoxicology of organochlorine chemicals in birds of the Great Lakes: Environmental Toxicology and Chemistry, v. 32, no. 3, p. 490-492, https://doi.org/10.1002/etc.2109.","productDescription":"3 p.","startPage":"490","endPage":"492","ipdsId":"IP-041888","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473833,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2109","text":"Publisher Index Page"},{"id":272125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272124,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2109"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.61,41.24 ], [ -92.61,49.0 ], [ -75.62,49.0 ], [ -75.62,41.24 ], [ -92.61,41.24 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"518cb75be4b05ebc8f7cc0e0","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":475959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giesy, John P.","contributorId":57426,"corporation":false,"usgs":true,"family":"Giesy","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":475960,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043943,"text":"70043943 - 2013 - Effectiveness of an integrated hatchery program: Can genetic-based performance differences between hatchery and wild Chinook salmon be avoided?","interactions":[],"lastModifiedDate":"2016-05-04T15:47:02","indexId":"70043943","displayToPublicDate":"2013-05-09T00:00:00","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":"Effectiveness of an integrated hatchery program: Can genetic-based performance differences between hatchery and wild Chinook salmon be avoided?","docAbstract":"<p>Performance of wild (W) and hatchery (H) spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>) was evaluated for a sixth generation hatchery program. Management techniques to minimize genetic divergence from the wild stock included regular use of wild broodstock and volitional releases of juveniles. Performance of HH, WW, and HW (hatchery female spawned with wild male) crosses was compared in hatchery and stream environments. The WW juveniles emigrated from the hatchery at two to three times the rate of HH fish in the fall (HW intermediate) and 35% more HH than WW adults returned (27% more HW than WW adults). Performance in the stream did not differ statistically between HH and WW fish, but outmigrants (38% WW, 30% HW, and 32% HH fish) during the first 39 days of the 16-month sampling period composed 74% of total outmigrants. Differences among hatchery-reared crosses were partially due to additive genetic effects, were consistent with domestication (increased fitness for the hatchery population in the hatchery program), and suggested that selection against fall emigration from the hatchery was a possible mechanism of domestication.</p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0138","usgsCitation":"Hayes, M.C., Reisenbichler, R.R., Rubin, S.P., Drake, D., Stenberg, K.D., and Young, S.F., 2013, Effectiveness of an integrated hatchery program: Can genetic-based performance differences between hatchery and wild Chinook salmon be avoided?: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 2, p. 147-158, https://doi.org/10.1139/cjfas-2012-0138.","productDescription":"12 p.","startPage":"147","endPage":"158","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026265","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":272129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cb75ce4b05ebc8f7cc0e4","contributors":{"authors":[{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisenbichler, Reginald R.","contributorId":20623,"corporation":false,"usgs":true,"family":"Reisenbichler","given":"Reginald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, Stephen P. 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":38037,"corporation":false,"usgs":true,"family":"Rubin","given":"Stephen","email":"","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, Deanne C.","contributorId":71462,"corporation":false,"usgs":true,"family":"Drake","given":"Deanne C.","affiliations":[],"preferred":false,"id":474536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stenberg, Karl D. 0000-0001-9802-2707 kstenberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9802-2707","contributorId":3747,"corporation":false,"usgs":true,"family":"Stenberg","given":"Karl","email":"kstenberg@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Sewall F.","contributorId":15499,"corporation":false,"usgs":true,"family":"Young","given":"Sewall","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":474533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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}]}}
]}