The parasitic nature of the association between glochidia of unionoidean bivalves and their host fish (i.e. the role of fish hosts in providing nutritional resources to the developing glochidia) is still uncertain. While previous work has provided descriptions of development of glochidia on fish hosts, earlier studies have not explicitly documented the flow of nutrition from the host fish to the juvenile mussel. Therefore, our objective was to use stable isotope analysis to quantitatively document nutrient flow between fish and glochidia. Glochidia were collected from nine adult Lampsilis cardium and used to inoculate Micropterus salmoides(n = 27; three fish per maternal mussel) that produced juvenile mussels for the experiment. Adult mussel tissue samples, glochidia, transformed juvenile mussels and fish gill tissues were analysed for δ15N and δ13C isotope ratios. We used a linear mixing model to estimate the fraction of juvenile mussel tissue derived from the host fish's tissue during attachment. Our analyses indicate a distinct shift in both C and N isotopic ratios from the glochidial stage to the juvenile stage during mussel attachment and development. Linear mixing model analysis indicated that 57.4% of the δ15N in juvenile tissues were obtained from the host fish. This work provides novel evidence that larval unionoideans are true parasites that derive nutrition from host fish during their metamorphosis into the juvenile stage.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/mollus/eyt008","usgsCitation":"Fritts, M.W., Fritts, A., Carleton, S.A., and Bringolf, R.B., 2013, Shifts in stable-isotope signatures confirm parasitic relationship of freshwater mussel glochidia attached to host fish: Journal of Molluscan Studies, v. 79, no. 2, p. 163-167, https://doi.org/10.1093/mollus/eyt008.","productDescription":"5 p.","startPage":"163","endPage":"167","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041462","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mollus/eyt008","text":"Publisher Index Page"},{"id":297922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c52e4b08de9379b372f","contributors":{"authors":[{"text":"Fritts, Mark W.","contributorId":139239,"corporation":false,"usgs":false,"family":"Fritts","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":540453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K.","contributorId":139240,"corporation":false,"usgs":false,"family":"Fritts","given":"Andrea K.","affiliations":[],"preferred":false,"id":540454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":540394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":540455,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155202,"text":"70155202 - 2013 - Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave","interactions":[],"lastModifiedDate":"2015-08-05T10:40:45","indexId":"70155202","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":628,"text":"Acta Carsologica","active":true,"publicationSubtype":{"id":10}},"title":"Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave","docAbstract":"Blowing Spring Cave in northwestern Arkansas is representative of cave systems in the karst of the Ozark Plateaus, and stable isotopes of water (δ18O and δ2H) and inorganic carbon (δ13C) were used to quantify soil-water, bedrock-matrix water, and precipitation contributions to cave-spring flow during storm events to understand controls on cave water quality. Water samples from recharge-zone soils and the cave were collected from March to May 2012 to implement a multicomponent hydrograph separation approach using δ18O and δ2H of water and dissolved inorganic carbon (δ13C–DIC). During baseflow, median δ2H and δ18O compositions were –41.6‰ and –6.2‰ for soil water and were –37.2‰ and –5.9‰ for cave water, respectively. Median DIC concentrations for soil and cave waters were 1.8 mg/L and 25.0 mg/L, respectively, and median δ13C–DIC compositions were –19.9‰ and –14.3‰, respectively. During a March storm event, 12.2 cm of precipitation fell over 82 h and discharge increased from 0.01 to 0.59 m3/s. The isotopic composition of precipitation varied throughout the storm event because of rainout, a change of 50‰ and 10‰ for δ2H and δ18O was observed, respectively. Although, at the spring, δ2H and δ18O only changed by approximately 3‰ and 1‰, respectively. The isotopic compositions of precipitation and pre-event (i.e., soil and bedrock matrix) water were isotopically similar and the two-component hydrograph separation was inaccurate, either overestimating (>100%) or underestimating (<0%) the precipitation contribution to the spring. During the storm event, spring DIC and δ13C–DIC decreased to a minimum of 8.6 mg/L and –16.2‰, respectively. If the contribution from precipitation was assumed to be zero, soil water was found to contribute between 23 to 72% of the total volume of discharge. Although the assumption of negligible contributions from precipitation is unrealistic, especially in karst systems where rapid flow through conduits occurs, the hydrograph separation using inorganic carbon highlights the importance of considering vadose-zone soil water when analyzing storm chemohydrographs.
","language":"English","publisher":"Acta Carsologica","doi":"10.3986/ac.v42i2-3.667","usgsCitation":"Knierim, K., Pollock, E., and Hays, P.D., 2013, Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave: Acta Carsologica, v. 42, no. 2-3, p. 261-276, https://doi.org/10.3986/ac.v42i2-3.667.","productDescription":"16 p.","startPage":"261","endPage":"276","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046215","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":473966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3986/ac.v42i2-3.667","text":"Publisher Index Page"},{"id":306423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","city":"Bella Vista","otherGeospatial":"Blowing Spring","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.37736511230469,\n 36.40028364332349\n ],\n [\n -94.37736511230469,\n 36.49914942301417\n ],\n [\n -94.15901184082031,\n 36.49914942301417\n ],\n [\n -94.15901184082031,\n 36.40028364332349\n ],\n [\n -94.37736511230469,\n 36.40028364332349\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2-3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-10","publicationStatus":"PW","scienceBaseUri":"55c333b0e4b033ef52106aa5","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":567330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":567331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045510,"text":"70045510 - 2013 - Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models","interactions":[],"lastModifiedDate":"2018-04-21T13:20:45","indexId":"70045510","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models","docAbstract":"Mark-recapture models are extensively used in quantitative population ecology, providing estimates of population vital rates, such as survival, that are difficult to obtain using other methods. Vital rates are commonly modeled as functions of explanatory covariates, adding considerable flexibility to mark-recapture models, but also increasing the subjectivity and complexity of the modeling process. Consequently, model selection and the evaluation of covariate structure remain critical aspects of mark-recapture modeling. The difficulties involved in model selection are compounded in Cormack-Jolly- Seber models because they are composed of separate sub-models for survival and recapture probabilities, which are conceptualized independently even though their parameters are not statistically independent. The construction of models as combinations of sub-models, together with multiple potential covariates, can lead to a large model set. Although desirable, estimation of the parameters of all models may not be feasible. Strategies to search a model space and base inference on a subset of all models exist and enjoy widespread use. However, even though the methods used to search a model space can be expected to influence parameter estimation, the assessment of covariate importance, and therefore the ecological interpretation of the modeling results, the performance of these strategies has received limited investigation. We present a new strategy for searching the space of a candidate set of Cormack-Jolly-Seber models and explore its performance relative to existing strategies using computer simulation. The new strategy provides an improved assessment of the importance of covariates and covariate combinations used to model survival and recapture probabilities, while requiring only a modest increase in the number of models on which inference is based in comparison to existing techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Open Journal Of Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Scientific Research Publishing (SCIRP)","doi":"10.4236/oje.2013.31002","usgsCitation":"Bromaghin, J.F., McDonald, T.L., and Amstrup, S.C., 2013, Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models: Open Journal Of Ecology, v. 3, no. 1, p. 11-22, https://doi.org/10.4236/oje.2013.31002.","startPage":"11","endPage":"22","numberOfPages":"12","additionalOnlineFiles":"N","ipdsId":"IP-042691","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":473965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.31002","text":"Publisher Index Page"},{"id":271382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/oje.2013.31002"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51765bebe4b0f989f99e010f","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":477675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":477674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043058,"text":"ofr20131008 - 2013 - A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","interactions":[],"lastModifiedDate":"2016-12-21T09:41:03","indexId":"ofr20131008","displayToPublicDate":"2013-02-01T00:00:00","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":"2013-1008","title":"A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites","docAbstract":"This report is part of an effort by the U.S. Geological Survey to update existing mineral deposit models and to develop new ones. We emphasize practical aspects of pegmatite geology that might directly or indirectly help in exploration for lithium-cesium-tantalum (LCT) pegmatites, or for assessing regions for pegmatite-related mineral resource potential. These deposits are an important link in the world’s supply chain of rare and strategic elements, accounting for about one-third of world lithium production, most of the tantalum, and all of the cesium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131008","usgsCitation":"Bradley, D., and McCauley, A., 2013, A preliminary deposit model for lithium-cesium-tantalum (LCT) pegmatites (Version 1.0: February 1, 2013; Version 1.1: December 20, 2016): U.S. Geological Survey Open-File Report 2013-1008, iii, 7 p., https://doi.org/10.3133/ofr20131008.","productDescription":"iii, 7 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":266897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1008/images/coverthb.jpg"},{"id":266895,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1008/"},{"id":266896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1008/OF13-1008.pdf"},{"id":332288,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1008/versionHist.txt","text":"Version History","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2013-1008 Version History"}],"edition":"Version 1.0: February 1, 2013; Version 1.1: December 20, 2016","revisedDate":"2016-12-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510ce3ede4b0ae2ee50d95e7","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":472880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCauley, Andrew","contributorId":48846,"corporation":false,"usgs":true,"family":"McCauley","given":"Andrew","affiliations":[],"preferred":false,"id":472881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043201,"text":"70043201 - 2013 - Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior","interactions":[],"lastModifiedDate":"2013-06-03T10:56:30","indexId":"70043201","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior","docAbstract":"Acoustic methods are used to estimate the density of pelagic fish in large lakes with results of midwater trawling used to assign species composition. Apportionment in lakes having mixed species can be challenging because only a small fraction of the water sampled acoustically is sampled with trawl gear. Here we describe a new method where single echo detections (SEDs) are assigned to species based on classification tree models developed from catch data that separate species based on fish size and the spatial habitats they occupy. During the summer of 2011, we conducted a spatially-balanced lake-wide acoustic and midwater trawl survey of Lake Superior. A total of 51 sites in four bathymetric depth strata (0–30 m, 30–100 m, 100–200 m, and >200 m) were sampled. We developed classification tree models for each stratum and found fish length was the most important variable for separating species. To apply these trees to the acoustic data, we needed to identify a target strength to length (TS-to-L) relationship appropriate for all abundant Lake Superior pelagic species. We tested performance of 7 general (i.e., multi-species) relationships derived from three published studies. The best-performing relationship was identified by comparing predicted and observed catch compositions using a second independent Lake Superior data set. Once identified, the relationship was used to predict lengths of SEDs from the lake-wide survey, and the classification tree models were used to assign each SED to a species. Exotic rainbow smelt (Osmerus mordax) were the most common species at bathymetric depths <100 m with their population estimated at 755 million (3.4 kt). Kiyi (Coregonus kiyi) were the most abundant species at depths >100 m (384 million; 6.0 kt). Cisco (Coregonus artedi) were widely distributed over all strata with their population estimated at 182 million (44 kt). The apportionment method we describe should be transferable to other large lakes provided fish are not tightly aggregated, and an appropriate TS-to-L relationship for abundant pelagic fish species can be determined.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2012.12.012","usgsCitation":"Yule, D., Adams, J.V., Hrabik, T.R., Vinson, M., Woiak, Z., and Ahrenstroff, T.D., 2013, Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior: Fisheries Research, v. 140, p. 123-132, https://doi.org/10.1016/j.fishres.2012.12.012.","productDescription":"10 p.","startPage":"123","endPage":"132","ipdsId":"IP-043013","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":273087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2012.12.012"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.562,46.4146 ], [ -89.562,48.8488 ], [ -84.354,48.8488 ], [ -84.354,46.4146 ], [ -89.562,46.4146 ] ] ] } } ] }","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adbaebe4b07c214e64bd4b","contributors":{"authors":[{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":473158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":473154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vinson, Mark R.","contributorId":91774,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark R.","affiliations":[],"preferred":false,"id":473157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woiak, Zebadiah","contributorId":37232,"corporation":false,"usgs":true,"family":"Woiak","given":"Zebadiah","affiliations":[],"preferred":false,"id":473155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahrenstroff, Tyler D.","contributorId":64540,"corporation":false,"usgs":true,"family":"Ahrenstroff","given":"Tyler","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70154759,"text":"70154759 - 2013 - Observations on the identification of larval and juvenile Scaphirhynchus spp. in the lower Mississippi River","interactions":[],"lastModifiedDate":"2015-07-01T11:07:10","indexId":"70154759","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Observations on the identification of larval and juvenile Scaphirhynchus spp. in the lower Mississippi River","docAbstract":"Scaphirhynchus albus (Pallid Sturgeon) and S. platorynchus (Shovelnose Sturgeon) are sympatric and not uncommon in the lower Mississippi River from the confluence of the Ohio River to the Gulf of Mexico, and in its distributary, the Atchafalaya River. Reports of sturgeon larvae have been rare in the Mississippi River but have been increasing with more effective collection methods. A suite of characters identified in hatchery-reared larval Pallid Sturgeon and Shovelnose Sturgeon from the Yellowstone and upper Missouri rivers has been used to distinguish larval Scaphirhynchus spp. In the Mississippi River; however, a large proportion of wild Scaphirhynchus spp. larvae are intermediate in these characters and have been identified by some as hybridized Pallid Sturgeon and Shovelnose Sturgeon. We applied three diagnostic characters developed from Missouri River sturgeon larvae to hatchery-reared progeny of Atchafalaya River Pallid Sturgeon and found them inadequate to identify most of the known Pallid sturgeon larvae. Additionally, fewer than 10% of a large sample of wild Scaphirhynchusspp. larvae from the lower Mississippi River conformed to either Pallid Sturgeon or Shovelnose Sturgeon at two or more of the characters. We also found a small mouth width relative to head width and a concave forward barbel position may be useful for the identification of 30% or more Scaphirhynchus spp. larvae and postlarval young-of-year as Shovelnose Sturgeon. Established adult character indices and diagnostic measurement proportionalities also failed to correctly identify any hatchery-reared Pallid Sturgeon juveniles recaptured 6–7 years following their release.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.012.0202","usgsCitation":"Hartfield, P., Kuntz, N.M., and Schramm, H.L., 2013, Observations on the identification of larval and juvenile Scaphirhynchus spp. in the lower Mississippi River: Southeastern Naturalist, v. 12, no. 2, p. 251-266, https://doi.org/10.1656/058.012.0202.","productDescription":"16 p.","startPage":"251","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041405","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f35e4b0b6d21dd6cbf5","contributors":{"authors":[{"text":"Hartfield, Paul D.","contributorId":103960,"corporation":false,"usgs":true,"family":"Hartfield","given":"Paul D.","affiliations":[],"preferred":false,"id":564031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuntz, Nathan M.","contributorId":145433,"corporation":false,"usgs":false,"family":"Kuntz","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":145424,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":563980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176182,"text":"70176182 - 2013 - Mapping river bathymetry with a small footprint green LiDAR: Applications and challenges","interactions":[],"lastModifiedDate":"2016-09-07T14:45:13","indexId":"70176182","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Mapping river bathymetry with a small footprint green LiDAR: Applications and challenges","docAbstract":"Airborne bathymetric Light Detection And Ranging (LiDAR) systems designed for coastal and marine surveys are increasingly sought after for high-resolution mapping of fluvial systems. To evaluate the potential utility of bathymetric LiDAR for applications of this kind, we compared detailed surveys collected using wading and sonar techniques with measurements from the United States Geological Survey’s hybrid topographic⁄ bathymetric Experimental Advanced Airborne Research LiDAR (EAARL). These comparisons, based upon data collected from the Trinity and Klamath Rivers, California, and the Colorado River, Colorado, demonstrated\nthat environmental conditions and postprocessing algorithms can influence the accuracy and utility of these surveys and must be given consideration. These factors can lead to mapping errors that can have a direct bearing on derivative analyses such as hydraulic modeling and habitat assessment. We discuss the water and substrate characteristics of the sites, compare the conventional and remotely sensed river-bed topographies, and investigate the laser waveforms reflected from submerged targets to provide an evaluation as to the suitability and accuracy of the EAARL system and associated processing algorithms for riverine mapping applications.","language":"English","publisher":"Journal of the American Water Resources Association","doi":"10.1111/jawr.12008","usgsCitation":"Kinzel, P.J., Legleiter, C.J., and Nelson, J.M., 2013, Mapping river bathymetry with a small footprint green LiDAR: Applications and challenges: Journal of the American Water Resources Association, v. 49, no. 1, p. 183-204, https://doi.org/10.1111/jawr.12008.","productDescription":"12 p.","startPage":"183","endPage":"204","ipdsId":"IP-038143","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"57c7ffbae4b0f2f0cebfc2f5","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647630,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042831,"text":"70042831 - 2013 - Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology","interactions":[],"lastModifiedDate":"2013-03-10T15:02:15","indexId":"70042831","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology","docAbstract":"Spatially and temporally distributed measurements of processes, such as baseflow at the watershed scale, come at substantial equipment and personnel cost. Research presented here focuses on building a crowdsourced database of inexpensive distributed stream stage measurements. Signs on staff gauges encourage citizen scientists to voluntarily send hydrologic measurements (e.g., stream stage) via text message to a server that stores and displays the data on the web. Based on the crowdsourced stream stage, we evaluate the accuracy of citizen scientist measurements and measurement approach. The results show that crowdsourced data collection is a supplemental method for collecting hydrologic data and a promising method of public engagement.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.00956.x","usgsCitation":"Fienen, M., and Lowry, C., 2013, Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology: Ground Water, v. 51, no. 1, p. 151-156, https://doi.org/10.1111/j.1745-6584.2012.00956.x.","startPage":"151","endPage":"156","ipdsId":"IP-037685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":269037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00956.x"}],"country":"United States","volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-06-20","publicationStatus":"PW","scienceBaseUri":"53cd537ae4b0b290850f52d8","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowry, Chris","contributorId":67387,"corporation":false,"usgs":true,"family":"Lowry","given":"Chris","email":"","affiliations":[],"preferred":false,"id":472360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157423,"text":"70157423 - 2013 - Present weather and climate: evolving conditions","interactions":[],"lastModifiedDate":"2015-09-22T17:33:22","indexId":"70157423","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Present weather and climate: evolving conditions","docAbstract":"This chapter assesses weather and climate variability and trends in the Southwest, using observed climate and paleoclimate records. It analyzes the last 100 years of climate variability in comparison to the last 1,000 years, and links the important features of evolving climate conditions to river flow variability in four of the region’s major drainage basins. The chapter closes with an assessment of the monitoring and scientific research needed to increase confidence in understanding when climate episodes, events, and phenomena are attributable to human-caused climate change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Assessment of climate change in southwest United States: a report prepared for the National Climate Assessment","language":"English","publisher":"Southwest Climate Alliance","publisherLocation":"Washington, D.C.","usgsCitation":"Hoerling, M., Dettinger, M., Wolter, K., Lukas, J., Eischeid, J.K., Nemani, R., Liebmann, B., and Kunkel, K.E., 2013, Present weather and climate: evolving conditions, chap. of Assessment of climate change in southwest United States: a report prepared for the National Climate Assessment, 27 p.","productDescription":"27 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":308410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56027c25e4b03bc34f544875","contributors":{"authors":[{"text":"Hoerling, Martin P","contributorId":145843,"corporation":false,"usgs":false,"family":"Hoerling","given":"Martin P","affiliations":[{"id":16257,"text":"NOAA Earth System Research Laboratory, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":573114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":147804,"corporation":false,"usgs":false,"family":"Dettinger","given":"Michael","affiliations":[],"preferred":false,"id":573115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolter, Klaus","contributorId":147884,"corporation":false,"usgs":false,"family":"Wolter","given":"Klaus","email":"","affiliations":[],"preferred":false,"id":573116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukas, Jeff","contributorId":147885,"corporation":false,"usgs":false,"family":"Lukas","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":573117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eischeid, Jon K.","contributorId":70214,"corporation":false,"usgs":true,"family":"Eischeid","given":"Jon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":573118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nemani, Rama","contributorId":147886,"corporation":false,"usgs":false,"family":"Nemani","given":"Rama","email":"","affiliations":[],"preferred":false,"id":573119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liebmann, Brant","contributorId":145844,"corporation":false,"usgs":false,"family":"Liebmann","given":"Brant","affiliations":[{"id":16257,"text":"NOAA Earth System Research Laboratory, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":573120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kunkel, Kenneth E.","contributorId":147887,"corporation":false,"usgs":false,"family":"Kunkel","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":573121,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70038472,"text":"70038472 - 2013 - Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","interactions":[],"lastModifiedDate":"2020-09-11T17:08:53.632551","indexId":"70038472","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","docAbstract":"The extent to which faults exhibit temporally varying slip rates has important consequences for models of fault mechanics and probabilistic seismic hazard. Here, we explore the temporal behavior of the dextral‐slip Warm Springs Valley fault system, which is part of a network of closely spaced (10–20 km) faults in the northern Walker Lane (California–Nevada border). We develop a late Quaternary slip record for the fault using Quaternary mapping and high‐resolution topographic data from airborne Light Distance and Ranging (LiDAR). The faulted Fort Sage alluvial fan (40.06° N, 119.99° W) is dextrally displaced 98+42/-43 m, and we estimate the age of the alluvial fan to be 41.4+10.0/-4.8 to 55.7±9.2 ka, based on a terrestrial cosmogenic 10Be depth profile and 36Cl analyses on basalt boulders, respectively. The displacement and age constraints for the fan yield a slip rate of 1.8 +0.8/-0.8 mm/yr to 2.4 +1.2/-1.1 mm/yr (2σ) along the northern Warm Springs Valley fault system for the past 41.4–55.7 ka. In contrast to this longer‐term slip rate, shorelines associated with the Sehoo highstand of Lake Lahontan (~15.8 ka) adjacent to the Fort Sage fan are dextrally faulted at most 3 m, which limits a maximum post‐15.8 ka slip rate to 0.2 mm/yr. These relations indicate that the post‐Lahontan slip rate on the fault is only about one‐tenth the longer‐term (41–56 ka) average slip rate. This apparent slip‐rate variation may be related to co‐dependent interaction with the nearby Honey Lake fault system, which shows evidence of an accelerated period of mid‐Holocene earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120020","usgsCitation":"Gold, R., dePolo, C., Briggs, R.W., Crone, A., and Goss, J., 2013, Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 542-558, https://doi.org/10.1785/0120120020.","productDescription":"17 p.","startPage":"542","endPage":"558","ipdsId":"IP-038135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":267417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Walker Lane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.28106689453125,\n 39.74943369178247\n ],\n [\n -119.74822998046875,\n 39.74943369178247\n ],\n [\n -119.74822998046875,\n 40.02551125229787\n ],\n [\n -120.28106689453125,\n 40.02551125229787\n ],\n [\n -120.28106689453125,\n 39.74943369178247\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"511e158de4b071e86a19a463","contributors":{"authors":[{"text":"Gold, Ryan","contributorId":97400,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","affiliations":[],"preferred":false,"id":464324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dePolo, Craig","contributorId":87433,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","affiliations":[],"preferred":false,"id":464323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crone, Anthony","contributorId":20624,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","affiliations":[],"preferred":false,"id":464322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goss, John","contributorId":240591,"corporation":false,"usgs":false,"family":"Goss","given":"John","email":"","affiliations":[],"preferred":false,"id":798516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043583,"text":"70043583 - 2013 - Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing","interactions":[],"lastModifiedDate":"2013-02-17T19:49:21","indexId":"70043583","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing","docAbstract":"The incidence and severity of trauma associated with multiple-pass electrofishing and the effects on short-term (30-d) survival and growth of Rainbow Trout Oncorhynchus mykiss, Brook Trout Salvelinus fontinalis, and five representative co-inhabiting nontarget or bycatch species were examined. Fish were held in four rectangular fiberglass tanks (190 × 66 cm) equipped with electrodes, a gravel–cobble stream substrate, and continuous water flow. Fish were exposed to one, two, or three electroshocks (100-V, 60-Hz pulsed DC) spaced 1 h apart or were held as a control. The heterogeneous field produced a mean (±SD) voltage gradient of 0.23 ± 0.024 V/cm (range = 0.20–0.30 V/cm) with a duty cycle of 30% and a 5-s exposure. Radiographs of 355 fish were examined for evidence of spinal injuries, and necropsies were performed on 303 fish to assess hemorrhagic trauma in soft tissue. Using linear regression, we demonstrated significant relationships between the number of electrical shocks and the frequency and severity of hemorrhagic and spinal trauma in each of the nontarget species (Potomac Sculpin Cottus girardi, Channel Catfish Ictalurus punctatus, Fathead Minnow Pimephales promelas, Green Sunfish Lepomis cyanellus, and Largemouth Bass Micropterus salmoides). Most of the injuries in these species were either minor or moderate. Rainbow Trout and Brook Trout generally sustained the highest incidence and severity of injuries, but those injuries were generally independent of the number of treatments. The 30-d postshock survival for the trout species was greater than 94%; survival for the bycatch species ranged from 80% (Fathead Minnow) to 100% (Green Sunfish and Channel Catfish). There were no significant differences in 30-d postshock condition factors despite observations of altered feeding behavior lasting several days to 1 week posttreatment in several of the study species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.754803","usgsCitation":"Panek, F., and Densmore, C.L., 2013, Frequency and Severity of Trauma in Fishes Subjected to Multiple-pass Depletion Electrofishing: North American Journal of Fisheries Management, v. 33, no. 1, p. 178-185, https://doi.org/10.1080/02755947.2012.754803.","startPage":"178","endPage":"185","ipdsId":"IP-041634","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":267611,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.754803"},{"id":267612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-29","publicationStatus":"PW","scienceBaseUri":"512209f0e4b0b37542fda866","contributors":{"authors":[{"text":"Panek, Frank fpanek@usgs.gov","contributorId":791,"corporation":false,"usgs":true,"family":"Panek","given":"Frank","email":"fpanek@usgs.gov","affiliations":[],"preferred":true,"id":473894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043177,"text":"70043177 - 2013 - Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2013-04-07T08:04:12","indexId":"70043177","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA","docAbstract":"This study assessed and described a relationship between satellite-derived growing season averaged Normalized Difference Vegetation Index (NDVI) and annual productivity for grasslands within the Greater Platte River Basin (GPRB) of the United States. We compared growing season averaged NDVI (GSN) with Soil Survey Geographic (SSURGO) database rangeland productivity and flux tower Gross Primary Productivity (GPP) for grassland areas. The GSN was calculated for each of nine years (2000–2008) using the 7-day composite 250-m eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. Strong correlations exist between the nine-year mean GSN (MGSN) and SSURGO annual productivity for grasslands (R2 = 0.74 for approximately 8000 pixels randomly selected from eight homogeneous regions within the GPRB; R2 = 0.96 for the 14 cluster-averaged points). Results also reveal a strong correlation between GSN and flux tower growing season averaged GPP (R2 = 0.71). Finally, we developed an empirical equation to estimate grassland productivity based on the MGSN. Spatially explicit estimates of grassland productivity over the GPRB were generated, which improved the regional consistency of SSURGO grassland productivity data and can help scientists and land managers to better understand the actual biophysical and ecological characteristics of grassland systems in the GPRB. This final estimated grassland production map can also be used as an input for biogeochemical, ecological, and climate change models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2012.05.024","usgsCitation":"Gu, Y., Wylie, B.K., and Bliss, N.B., 2013, Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA: Ecological Indicators, v. 24, p. 31-36, https://doi.org/10.1016/j.ecolind.2012.05.024.","startPage":"31","endPage":"36","ipdsId":"IP-030210","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270618,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2012.05.024"}],"country":"United States","volume":"24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5162956fe4b0c25842758d03","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473109,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193602,"text":"70193602 - 2013 - The utility of atmospheric analyses for the mitigation of artifacts in InSAR","interactions":[],"lastModifiedDate":"2017-11-02T16:06:14","indexId":"70193602","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The utility of atmospheric analyses for the mitigation of artifacts in InSAR","docAbstract":"The numerical weather models (NWMs) developed by the meteorological community are able to provide accurate analyses of the current state of the atmosphere in addition to the predictions of the future state. To date, most attempts to apply the NWMs to estimate the refractivity of the atmosphere at the time of satellite synthetic aperture radar (SAR) data acquisitions have relied on predictive models. We test the hypothesis that performing a final assimilative routine, ingesting all available meteorological observations for the times of SAR acquisitions, and generating customized analyses of the atmosphere at those times will better mitigate atmospheric artifacts in differential interferograms. We find that, for our study area around Mount St. Helens (Amboy, Washington, USA), this approach is unable to model the refractive changes and provides no mean benefit for interferogram analysis. The performance is improved slightly by ingesting atmospheric delay estimates derived from the limited local GPS network; however, the addition of water vapor products from the GOES satellites reduces the quality of the corrections. We interpret our results to indicate that, even with this advanced approach, NWMs are not a reliable mitigation technique for regions such as Mount St. Helens with highly variable moisture fields and complex topography and atmospheric dynamics. It is possible, however, that the addition of more spatially dense meteorological data to constrain the analyses might significantly improve the performance of weather modeling of atmospheric artifacts in satellite radar interferograms.
","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50093","usgsCitation":"Foster, J., Kealy, J., Cherubini, T., Businger, S., Lu, Z., and Murphy, M., 2013, The utility of atmospheric analyses for the mitigation of artifacts in InSAR: Journal of Geophysical Research B: Solid Earth, v. 118, no. 2, p. 748-758, https://doi.org/10.1002/jgrb.50093.","productDescription":"11 p.","startPage":"748","endPage":"758","ipdsId":"IP-044768","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/40220","text":"External Repository"},{"id":348134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fe4","contributors":{"authors":[{"text":"Foster, James","contributorId":38598,"corporation":false,"usgs":true,"family":"Foster","given":"James","affiliations":[],"preferred":false,"id":719963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kealy, John","contributorId":199761,"corporation":false,"usgs":false,"family":"Kealy","given":"John","email":"","affiliations":[],"preferred":false,"id":719964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherubini, Tiziana","contributorId":199762,"corporation":false,"usgs":false,"family":"Cherubini","given":"Tiziana","email":"","affiliations":[],"preferred":false,"id":719965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Businger, S.","contributorId":65331,"corporation":false,"usgs":true,"family":"Businger","given":"S.","affiliations":[],"preferred":false,"id":719966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":719967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Michael","contributorId":199763,"corporation":false,"usgs":false,"family":"Murphy","given":"Michael","affiliations":[],"preferred":false,"id":719968,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043348,"text":"70043348 - 2013 - Biodiversity losses and conservation trade-offs: Assessing future urban growth scenarios for a North American trade corridor","interactions":[],"lastModifiedDate":"2018-03-27T11:11:06","indexId":"70043348","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2029,"text":"International Journal of Biodiversity Science, Ecosystem Services and Management","active":true,"publicationSubtype":{"id":10}},"title":"Biodiversity losses and conservation trade-offs: Assessing future urban growth scenarios for a North American trade corridor","docAbstract":"The Sonoran Desert and Apache Highlands ecoregions of North America are areas of exceptionally high plant and vertebrate biodiversity. However, much of the vertebrate biodiversity is supported by only a few vegetation types with limited distributions, some of which are increasingly threatened by changing land uses. We assessed the impacts of two future urban growth scenarios on biodiversity in a binational watershed in Arizona, USA and Sonora, Mexico. We quantified and mapped terrestrial vertebrate species richness using Wildlife Habitat Relation models and validated the results with data from National Park Service biological inventories. Future urban growth, based on historical trends, was projected to the year 2050 for 1) a “Current Trends” scenario and, 2) a “Megalopolis” scenario that represented a transnational growth corridor with open-space conservation attributes. Based on Current Trends, 45% of existing riparian woodland (267 of 451species), and 34% of semi-desert grasslands (215 of 451 species) will be lost, whereas, in the Megalopolis scenario, these types would decline by 44% and 24% respectively. Outcomes of the two models suggest a trade-off at the taxonomic class level: Current Trends would reduce and fragment mammal and herpetofauna habitat, while Megalopolis would result in loss of avian-rich riparian habitat.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/21513732.2013.770800","usgsCitation":"Villarreal, M.L., Norman, L.M., Wallace, C., and Boykin, K.G., 2013, Biodiversity losses and conservation trade-offs: Assessing future urban growth scenarios for a North American trade corridor: International Journal of Biodiversity Science, Ecosystem Services and Management, v. 9, no. 2, p. 90-103, https://doi.org/10.1080/21513732.2013.770800.","productDescription":"14 p.","startPage":"90","endPage":"103","ipdsId":"IP-035555","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473964,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/21513732.2013.770800","text":"Publisher Index Page"},{"id":267585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269905,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/21513732.2013.770800"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"511f6709e4b03b29402c5da0","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":3335,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":473456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boykin, Kenneth G. 0000-0001-6381-0463","orcid":"https://orcid.org/0000-0001-6381-0463","contributorId":43651,"corporation":false,"usgs":false,"family":"Boykin","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":473457,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044793,"text":"70044793 - 2013 - Identification of contamination in a lake sediment core using Hg and Pb isotopic compositions, Lake Ballinger, Washington, USA","interactions":[],"lastModifiedDate":"2013-05-30T09:04:46","indexId":"70044793","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Identification of contamination in a lake sediment core using Hg and Pb isotopic compositions, Lake Ballinger, Washington, USA","docAbstract":"Concentrations and isotopic compositions of Hg and Pb were measured in a sediment core collected from Lake Ballinger, near Seattle, Washington, USA. Lake Ballinger has been affected by input of metal contaminants emitted from the Tacoma smelter, which operated from 1887 to 1986 and was located about 53 km south of the lake. Concentrations and loadings of Hg and Pb in Lake Ballinger increased by as much as three orders of magnitude during the period of smelting as compared to the pre-smelting period. Concentrations and loadings of Hg and Pb then decreased by about 55% and 75%, respectively, after smelting ended. Isotopic compositions of Hg changed considerably during the period of smelting (δ202Hg = −2.29‰ to −0.38‰, mean −1.23‰, n = 9) compared to the pre-smelting period (δ202Hg = −2.91‰ to −2.50‰, mean −2.75‰, n = 4). Variations were also observed in 206Pb/207Pb and 208Pb/207Pb isotopic compositions during these periods. Data for Δ199Hg and Δ201Hg indicate mass independent fractionation (MIF) of Hg isotopes in Lake Ballinger sediment during the smelting and post-smelting period and suggest MIF in the ore smelted, during the smelting process, or chemical modification at some point in the past. Negative values for Δ199Hg and Δ201Hg for the pre-smelting period are similar to those previously reported for soil, peat, and lichen, likely suggesting some component of atmospheric Hg. Variations in the concentrations and isotopic compositions of Hg and Pb were useful in tracing contaminant sources and the understanding of the depositional history of sedimentation in Lake Ballinger.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2012.12.001","usgsCitation":"Gray, J.E., Pribil, M., Van Metre, P., Borrok, D.M., and Thapalia, A., 2013, Identification of contamination in a lake sediment core using Hg and Pb isotopic compositions, Lake Ballinger, Washington, USA: Applied Geochemistry, v. 29, p. 1-12, https://doi.org/10.1016/j.apgeochem.2012.12.001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-026930","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273001,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2012.12.001"},{"id":273002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Hall Creek;Lake Ballinger;Tacoma Smelter","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.82,47.16 ], [ -122.82,48.22 ], [ -121.98,48.22 ], [ -121.98,47.16 ], [ -122.82,47.16 ] ] ] } } ] }","volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874e6e4b082d85d5ed8a4","chorus":{"doi":"10.1016/j.apgeochem.2012.12.001","url":"http://dx.doi.org/10.1016/j.apgeochem.2012.12.001","publisher":"Elsevier BV","authors":"Gray John E., Pribil Michael J., Van Metre Peter C., Borrok David M., Thapalia Anita","journalName":"Applied Geochemistry","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pribil, Michael J.","contributorId":62115,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael J.","affiliations":[],"preferred":false,"id":476324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":476322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borrok, David M.","contributorId":26056,"corporation":false,"usgs":true,"family":"Borrok","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thapalia, Anita","contributorId":38270,"corporation":false,"usgs":true,"family":"Thapalia","given":"Anita","email":"","affiliations":[],"preferred":false,"id":476323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043345,"text":"70043345 - 2013 - Effects of drought on birds and riparian vegetation in the Colorado River Delta, Mexico","interactions":[],"lastModifiedDate":"2013-06-04T14:58:53","indexId":"70043345","displayToPublicDate":"2013-02-01T00:00:00","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":"Effects of drought on birds and riparian vegetation in the Colorado River Delta, Mexico","docAbstract":"The riparian corridor in the delta of the Colorado River in Mexico supports internationally important bird habitat. The vegetation is maintained by surface flows from the U.S. and Mexico and by a high, non-saline aquifer into which the dominant phreatophytic shrubs and trees are rooted. We studied the effects of a regional drought on riparian vegetation and avian abundance and diversity from 2002 to 2007, during which time surface flows were markedly reduced compared to the period from 1995 to 2002. Reduced surface flows led to a reduction in native tree cover but an increase in shrub cover, mostly due to an increase in Tamarix spp., an introduced halophytic shrub, and a reduction in Populus fremontii and Salix gooddingii trees. However, overall vegetation cover was unchanged at about 70%. Overall bird density and diversity were also unchanged, but riparian-obligate species tended to decrease in abundance, and generalist species increased. Although reduction in surface flows reduced habitat value and negatively impacted riparian-obligate bird species, portions of the riparian zone exhibited resilience. Surface flows are required to reduce soil salt levels and germinate new cohorts of native trees, but the main source of water supporting this ecosystem is the aquifer, derived from underflows from irrigated fields in the U.S. and Mexico. The long-term prospects for delta riparian habitats are uncertain due to expected reduced flows of river water from climate change, and land use practices that will reduce underflows to the riparian aquifer and increase salinity levels. Active restoration programs would be needed if these habitats are to be preserved for the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2012.12.082","usgsCitation":"Hinojosa-Huerta, O., Nagler, P.L., Carrillo-Guererro, Y.K., and Glenn, E.P., 2013, Effects of drought on birds and riparian vegetation in the Colorado River Delta, Mexico: Ecological Engineering, v. 51, p. 275-281, https://doi.org/10.1016/j.ecoleng.2012.12.082.","productDescription":"7 p.","startPage":"275","endPage":"281","ipdsId":"IP-015915","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":273267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2012.12.082"}],"country":"Mexico","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.765,31.126 ], [ -116.765,32.458 ], [ -114.739,32.458 ], [ -114.739,31.126 ], [ -116.765,31.126 ] ] ] } } ] }","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c68e4b08a3322c2c2bb","contributors":{"authors":[{"text":"Hinojosa-Huerta, Osvel","contributorId":12762,"corporation":false,"usgs":true,"family":"Hinojosa-Huerta","given":"Osvel","affiliations":[],"preferred":false,"id":473451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":473450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carrillo-Guererro, Yamilett K.","contributorId":54098,"corporation":false,"usgs":true,"family":"Carrillo-Guererro","given":"Yamilett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":473453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":473452,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70154939,"text":"70154939 - 2013 - Fishery population and habitat assessment in Puerto Rico streams: phase 2 final report","interactions":[],"lastModifiedDate":"2017-02-27T14:15:37","indexId":"70154939","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Fishery population and habitat assessment in Puerto Rico streams: phase 2 final report","docAbstract":"This document serves as the Final Report for research on Puerto Rico stream fishes and their habitat funded by the Puerto Rico Department of Natural and Environmental Resources, in the form of a grant to the North Carolina Cooperative Fish and Wildlife Research Unit. This research was also conducted to meet the thesis requirement for a Master of Science degree granted to Elissa Buttermore (Chapters 3–4) and the dissertation requirement for a Doctor of Philospophy degree granted to William Smith (Chapters 5–8). Formatting differs among chapters, as each was developed to target a specific scientific journal and to conform to journal style.
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Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band's picture element based on the digital values of all picture elements within a 315-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area's local zone (42 for Katawas) and the WGS84 datum. The final image mosaics are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image. 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In the San Luis Valley, the Great Sand Dunes survey covers a large part of Great Sand Dunes National Park and Preserve. The data described were collected from a high-resolution AGG survey flown in February 2012, by Fugro Airborne Surveys Corp., on contract to the U.S. Geological Survey. Scientific objectives of the AGG survey are to investigate the subsurface structural framework that may influence groundwater hydrology and seismic hazards, and to investigate AGG methods and resolution using different flight specifications. 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S.","affiliations":[],"preferred":false,"id":472826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labson, V.F.","contributorId":20506,"corporation":false,"usgs":true,"family":"Labson","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":472824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodges, G.","contributorId":93354,"corporation":false,"usgs":true,"family":"Hodges","given":"G.","email":"","affiliations":[],"preferred":false,"id":472828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043035,"text":"ds709M - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Panjsher Valley mineral district in Afghanistan: Chapter M in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-02-01T11:11:12","indexId":"ds709M","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"M","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Panjsher Valley mineral district in Afghanistan: Chapter M in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. 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ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA, 2009, 2010), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 315-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Panjsher Valley) and the WGS84 datum. The final image mosaics were subdivided into two overlapping tiles or quadrants because of the large size of the target area. The two image tiles (or quadrants) for the Panjsher Valley area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image. Within the Panjsher Valley study area, two subareas were designated for detailed field investigations (that is, the Emerald and Silver-Iron subareas); these subareas were extracted from the area’s image mosaic and are provided as separate embedded geotiff images.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709M","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter M in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. For more information, see: Data Series 709.","usgsCitation":"Davis, P.A., and Cagney, L.E., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Panjsher Valley mineral district in Afghanistan: Chapter M in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, Readme; 2 Maps: 11 x 8.5 inches and 30.93 x 30.35 inches; 8 Image Files; 8 Metadata Files; 1 Shapefile; DS 709, https://doi.org/10.3133/ds709M.","productDescription":"Readme; 2 Maps: 11 x 8.5 inches and 30.93 x 30.35 inches; 8 Image Files; 8 Metadata Files; 1 Shapefile; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-24","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":266840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_m.jpg"},{"id":266833,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/m/index_maps/Panjsher_Valley_Area-of-Interest_Index_Map.pdf"},{"id":266834,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/m/index_maps/Panjsher_Valley_Image_Index_Map.pdf"},{"id":266835,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/m/index_maps/index_maps.html"},{"id":266836,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/m/image_files/image_files.html"},{"id":266837,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/m/metadata/metadata.html"},{"id":266838,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/709/m/shapefiles/shapefiles.html"},{"id":266839,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/index.html"},{"id":266831,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/m/"},{"id":266832,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/m/1_readme.txt"}],"country":"Afghanistan","otherGeospatial":"Panjsher Valley Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 69.5,35.25 ], [ 69.5,35.75 ], [ 70.25,35.75 ], [ 70.25,35.25 ], [ 69.5,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b927fe4b0947afa3c854c","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":472811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":472812,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043039,"text":"ofr20131001 - 2013 - Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations","interactions":[],"lastModifiedDate":"2013-01-31T13:23:59","indexId":"ofr20131001","displayToPublicDate":"2013-01-31T00:00:00","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":"2013-1001","title":"Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations","docAbstract":"Over the last decade, oil and gas well productivities were estimated using decline-curve analysis for thousands of wells as part of U.S. Geological Survey (USGS) studies of continuous (unconventional) oil and gas resources in the United States. The estimated ultimate recoveries (EURs) of these wells show great variability that was analyzed at three scales: within an assessment unit (AU), among AUs of similar reservoir type, and among groups of AUs with different reservoir types. Within a particular oil or gas AU (such as the Barnett Shale), EURs vary by about two orders of magnitude between the most productive wells and the least productive ones (excluding those that are dry and abandoned). The distributions of EURs are highly skewed, with most of the wells in the lower part of the range. Continuous AUs were divided into four categories based on reservoir type and major commodity (oil or gas): coalbed gas, shale gas, other low-permeability gas AUs (such as tight sands), and low-permeability oil AUs. Within each of these categories, there is great variability from AU to AU, as shown by plots of multiple EUR distributions. Comparing the means of each distribution within a category shows that the means themselves have a skewed distribution, with a range of approximately one to two orders of magnitude. A comparison of the three gas categories (coalbed gas, shale gas, and other low-permeability gas AUs) shows large overlap in the ranges of EUR distributions. Generally, coalbed gas AUs have lower EUR distributions, shale gas AUs have intermediate sizes, and the other low-permeability gas AUs have higher EUR distributions. The plot of EUR distributions for each category shows the range of variation among developed AUs in an appropriate context for viewing the historical development within a particular AU. The Barnett Shale is used as an example to demonstrate that dividing wells into groups by time allows one to see the changes in EUR distribution. Subdivision into groups can also be done by vertical versus horizontal wells, by length of horizontal completion, by distance to closest previously drilled well, by thickness of reservoir interval, or by any other variable for which one has or can calculate values for each well. The resulting plots show how one can subdivide the total range of productivity in shale-gas wells into smaller subsets that are more appropriate for use as analogs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131001","collaboration":"Order a Plotter Print from the USGS Store. From this link, you can search for and order a Print-on-Demand quadrangle(s).","usgsCitation":"Charpentier, R., and Cook, T.A., 2013, Variability of oil and gas well productivities for continuous (unconventional) petroleum accumulations: U.S. Geological Survey Open-File Report 2013-1001, 3 Sheets: 72 x 36, https://doi.org/10.3133/ofr20131001.","productDescription":"3 Sheets: 72 x 36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":266853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1001.jpg"},{"id":266845,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1001/"},{"id":266847,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet1-508.pdf"},{"id":266849,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet2-508.pdf"},{"id":266850,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1001/OF13-1001_sheet3-508.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.9 ], [ 173.0,71.83 ], [ -66.95,71.83 ], [ -66.95,16.9 ], [ 173.0,16.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b9281e4b0947afa3c8554","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":472822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}