{"pageNumber":"596","pageRowStart":"14875","pageSize":"25","recordCount":46681,"records":[{"id":70041097,"text":"70041097 - 2013 - Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province","interactions":[],"lastModifiedDate":"2013-03-04T20:33:10","indexId":"70041097","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province","docAbstract":"Jurassic kimberlites in the southern Superior Province in northern Michigan contain a variety of possible lower-crustal xenoliths, including mafic garnet granulites, rare garnet-free granulites, amphibolites and eclogites. Whole-rock major-element data for the granulites suggest affinities with tholeiitic basalts. P–T estimates for granulites indicate peak temperatures of 690–730°C and pressures of 9–12 kbar, consistent with seismic estimates of crustal thickness in the region. The granulites can be divided into two groups based on trace-element characteristics. Group 1 granulites have trace-element signatures similar to average Archean lower crust; they are light rare earth element (LREE)-enriched, with high La/Nb ratios and positive Pb anomalies. Most plot to the left of the geochron on a <sup>206</sup>Pb/<sup>€204</sup>Pb vs <sup>207</sup>Pb/<sup>€204</sup>Pb diagram, and there was probably widespread incorporation of Proterozoic to Archean components into the magmatic protoliths of these rocks. Although the age of the Group 1 granulites is not well constrained, their protoliths appear to be have been emplaced during the Mesoproterozoic and to be older than those for Group 2 granulites. Group 2 granulites are also LREE-enriched, but have strong positive Nb and Ta anomalies and low La/Nb ratios, suggesting intraplate magmatic affinities. They have trace-element characteristics similar to those of some Mid-Continent Rift (Keweenawan) basalts. They yield a Sm–Nd whole-rock errorchron age of 1046 ± 140 Ma, similar to that of Mid-Continent Rift plume magmatism. These granulites have unusually radiogenic Pb isotope compositions that plot above the <sup>207</sup>Pb/<sup>€204</sup>Pb vs <sup>206</sup>Pb/<sup>€204</sup>Pb growth curve and to the right of the 4·55 Ga geochron, and closely resemble the Pb isotope array defined by Mid-Continent Rift basalts. These Pb isotope data indicate that ancient continental lower crust is not uniformly depleted in U (and Th) relative to Pb. One granulite xenolith, S69-5, contains quartz, and has a unique peraluminous composition. It has the lowest εNd and εHf values of the suite. Its isotopic compositions indicate that it is significantly older than the other granulites. Broken zircon cores encased by younger overgrowths suggest that this granulite includes a large component of pre-existing sedimentary rocks. Two distinct populations of zircons from S69-5 were dated by sensitive high-resolution ion microprobe. Abundant rounded zircons yield ages of 1104 ± 42 (2σ) Ma, which coincide with the Mid-Continent Rift flood basalt eruptions. Their morphology is similar to those found in lower-crustal rocks that have undergone granulite-facies metamorphism and thus they are considered to represent the age of Group 2 granulites. Also present are less abundant elongate zircon grains that yield a mean age of 1387 ± 32 (2σ) Ma. Their elongate shapes indicate growth from a melt or fluid, possibly associated with 1·3–1·5 Ga anorogenic granite magmatism exposed in the shallow crust to the south in Wisconsin, or related to an initial encroachment of the Keweenawan plume upon the lower crust. Older ages recognized in zircon cores are less well constrained but may be related to tectono-magmatic events in the southern Superior craton. Within the studied suite only S69-5 was recognized as a remnant of the Late Archean lower crust into which the Group 1 and 2 mafic granulite precursor basalts were intruded. Collectively, the data show that the lower crust beneath northern Michigan formed in Archean times and underwent a variety of tectono-magmatic processes throughout the Proterozoic, including orogenesis, partial melting and mafic magmatic underplating in response to upwelling mantle plumes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford Journals","publisherLocation":"Oxford, U.K.","doi":"10.1093/petrology/egs079","usgsCitation":"Zartman, R.E., Kempton, P.D., Paces, J.B., Downes, H., Williams, I.S., Dobosi, G., and Futa, K., 2013, Lower-crustal xenoliths from Jurassic kimberlite diatremes, upper Michigan (USA): Evidence for Proterozoic orogenesis and plume magmatism in the lower crust of the southern Superior Province: Journal of Petrology, v. 54, no. 3, p. 575-608, https://doi.org/10.1093/petrology/egs079.","productDescription":"14 p.","startPage":"575","endPage":"608","ipdsId":"IP-040583","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":474062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egs079","text":"Publisher Index Page"},{"id":263561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263560,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egs079"}],"country":"United States","state":"Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.42,41.7 ], [ -90.42,48.29 ], [ -82.41,48.29 ], [ -82.41,41.7 ], [ -90.42,41.7 ] ] ] } } ] }","volume":"54","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-11-22","publicationStatus":"PW","scienceBaseUri":"50dfa812e4b0dfbe79e6e4a3","contributors":{"authors":[{"text":"Zartman, Robert E.","contributorId":47356,"corporation":false,"usgs":true,"family":"Zartman","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kempton, Pamela D.","contributorId":80994,"corporation":false,"usgs":true,"family":"Kempton","given":"Pamela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downes, Hilary","contributorId":13508,"corporation":false,"usgs":true,"family":"Downes","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":469426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Ian S.","contributorId":77439,"corporation":false,"usgs":true,"family":"Williams","given":"Ian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobosi, Gabor","contributorId":47264,"corporation":false,"usgs":true,"family":"Dobosi","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":469427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Futa, Kiyoto 0000-0001-8649-7510 kfuta@usgs.gov","orcid":"https://orcid.org/0000-0001-8649-7510","contributorId":619,"corporation":false,"usgs":true,"family":"Futa","given":"Kiyoto","email":"kfuta@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":469424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039860,"text":"70039860 - 2013 - Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake","interactions":[],"lastModifiedDate":"2013-04-20T19:27:38","indexId":"70039860","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake","docAbstract":"The tropical island Puerto Rico is potentially vulnerable to invasion by some species of exotic snakes; however, until now no established populations had been reported. Here we report and genetically characterize the nascent invasion of Puerto Rico by an exotic constricting snake of the family Boidae (<i>Boa constrictor</i>) using mtDNA and microsatellite data. Over 150 individual <i>B. constrictor</i> have been removed from Mayagüez municipality since May 2011, and our results from the genetic analysis of 32 individuals suggest that this population was recently founded by individuals of one subspecies from a genetic lineage common to zoo and breeding collections, but that the potential propagule pool consists of two subspecies. We also suggest that anthropogenic long-distance dispersal within the island of Puerto Rico may be occurring from the established population, with implications for further establishment across the island. This study represents the first report of the naturalization of an invasive species of boid snake in Puerto Rico and will be important in determining mitigation strategies for this invasion as well as providing a basis for comparison to other on-going studies of invasive snakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-012-0354-2","usgsCitation":"Reynolds, R., Puente-Rolon, A.R., Reed, R., and Revell, L.J., 2013, Genetic analysis of a novel invasion of Puerto Rico by an exotic constricting snake: Biological Invasions, v. 15, no. 5, p. 953-959, https://doi.org/10.1007/s10530-012-0354-2.","productDescription":"7 p.","startPage":"953","endPage":"959","ipdsId":"IP-040400","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":263510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263507,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-012-0354-2"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9455,17.8814 ], [ -67.9455,18.516 ], [ -65.2211,18.516 ], [ -65.2211,17.8814 ], [ -67.9455,17.8814 ] ] ] } } ] }","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"50dd67f2e4b0e31bb027dbdc","contributors":{"authors":[{"text":"Reynolds, R. Graham","contributorId":103545,"corporation":false,"usgs":true,"family":"Reynolds","given":"R. Graham","affiliations":[],"preferred":false,"id":467087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puente-Rolon, Alberto R.","contributorId":42498,"corporation":false,"usgs":true,"family":"Puente-Rolon","given":"Alberto","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":467085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert N.","contributorId":10115,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","affiliations":[],"preferred":false,"id":467084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revell, Liam J.","contributorId":100266,"corporation":false,"usgs":true,"family":"Revell","given":"Liam","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467086,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040861,"text":"70040861 - 2013 - An algorithmic and information-theoretic approach to multimetric index construction","interactions":[],"lastModifiedDate":"2012-11-26T21:08:30","indexId":"70040861","displayToPublicDate":"2012-11-26T00:00:00","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":"An algorithmic and information-theoretic approach to multimetric index construction","docAbstract":"The use of multimetric indices (MMIs), such as the widely used index of biological integrity (IBI), to measure, track, summarize and infer the overall impact of human disturbance on biological communities has been steadily growing in recent years. Initially, MMIs were developed for aquatic communities using pre-selected biological metrics as indicators of system integrity. As interest in these bioassessment tools has grown, so have the types of biological systems to which they are applied. For many ecosystem types the appropriate biological metrics to use as measures of biological integrity are not known a priori. As a result, a variety of ad hoc protocols for selecting metrics empirically has developed. However, the assumptions made by proposed protocols have not be explicitly described or justified, causing many investigators to call for a clear, repeatable methodology for developing empirically derived metrics and indices that can be applied to any biological system. An issue of particular importance that has not been sufficiently addressed is the way that individual metrics combine to produce an MMI that is a sensitive composite indicator of human disturbance. In this paper, we present and demonstrate an algorithm for constructing MMIs given a set of candidate metrics and a measure of human disturbance. The algorithm uses each metric to inform a candidate MMI, and then uses information-theoretic principles to select MMIs that capture the information in the multidimensional system response from among possible MMIs. Such an approach can be used to create purely empirical (data-based) MMIs or can, optionally, be influenced by expert opinion or biological theory through the use of a weighting vector to create value-weighted MMIs. We demonstrate the algorithm with simulated data to demonstrate the predictive capacity of the final MMIs and with real data from wetlands from Acadia and Rocky Mountain National Parks. For the Acadia wetland data, the algorithm identified 4 metrics that combined to produce a -0.88 correlation with the human disturbance index. When compared to other methods, we find this algorithmic approach resulted in MMIs that were more predictive and comprise fewer metrics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolind.2012.10.016","usgsCitation":"Schoolmaster, D.R., Grace, J.B., Schweiger, E.W., Guntenspergen, G.R., Mitchell, B.R., Miller, K.M., and Little, A.M., 2013, An algorithmic and information-theoretic approach to multimetric index construction: Ecological Indicators, v. 26, p. 14-23, https://doi.org/10.1016/j.ecolind.2012.10.016.","productDescription":"10 p.","startPage":"14","endPage":"23","numberOfPages":"10","ipdsId":"IP-035304","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":263383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2012.10.016"}],"volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50b48f78e4b0b3fb1a229130","chorus":{"doi":"10.1016/j.ecolind.2012.10.016","url":"http://dx.doi.org/10.1016/j.ecolind.2012.10.016","publisher":"Elsevier BV","authors":"Schoolmaster Donald R., Grace James B., Schweiger E. William, Guntenspergen Glenn R., Mitchell Brian R., Miller Kathryn M., Little Amanda M.","journalName":"Ecological Indicators","publicationDate":"3/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":469154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":469152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweiger, E. William","contributorId":53635,"corporation":false,"usgs":true,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":469156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":469153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Brian R.","contributorId":14683,"corporation":false,"usgs":true,"family":"Mitchell","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Kathryn M.","contributorId":68582,"corporation":false,"usgs":true,"family":"Miller","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Little, Amanda M.","contributorId":54452,"corporation":false,"usgs":true,"family":"Little","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469157,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70040501,"text":"70040501 - 2013 - Optimal temperature for malaria transmission is dramatically lower than previously predicted","interactions":[],"lastModifiedDate":"2014-09-17T12:58:15","indexId":"70040501","displayToPublicDate":"2012-11-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Optimal temperature for malaria transmission is dramatically lower than previously predicted","docAbstract":"The ecology of mosquito vectors and malaria parasites affect the incidence, seasonal transmission and geographical range of malaria. Most malaria models to date assume constant or linear responses of mosquito and parasite life-history traits to temperature, predicting optimal transmission at 31 &deg;C. These models are at odds with field observations of transmission dating back nearly a century. We build a model with more realistic ecological assumptions about the thermal physiology of insects. Our model, which includes empirically derived nonlinear thermal responses, predicts optimal malaria transmission at 25 &deg;C (6 &deg;C lower than previous models). Moreover, the model predicts that transmission decreases dramatically at temperatures > 28 &deg;C, altering predictions about how climate change will affect malaria. A large data set on malaria transmission risk in Africa validates both the 25 &deg;C optimum and the decline above 28 &deg;C. Using these more accurate nonlinear thermal-response models will aid in understanding the effects of current and future temperature regimes on disease transmission.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/ele.12015","usgsCitation":"Mordecai, E., Paaijmans, K.P., Johnson, L., Balzer, C., Ben-Horin, T., de Moor, E., McNally, A., Pawar, S., Ryan, S.J., Smith, T.C., and Lafferty, K.D., 2013, Optimal temperature for malaria transmission is dramatically lower than previously predicted: Ecology Letters, v. 16, no. 1, p. 22-30, https://doi.org/10.1111/ele.12015.","productDescription":"9 p.","startPage":"22","endPage":"30","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":262826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294052,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ele.12015"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"508ba304e4b0d7f30c14573f","contributors":{"authors":[{"text":"Mordecai, Erin A.","contributorId":9113,"corporation":false,"usgs":true,"family":"Mordecai","given":"Erin A.","affiliations":[],"preferred":false,"id":468459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paaijmans, Krijn P.","contributorId":62459,"corporation":false,"usgs":true,"family":"Paaijmans","given":"Krijn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":468465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Leah R.","contributorId":83382,"corporation":false,"usgs":true,"family":"Johnson","given":"Leah R.","affiliations":[],"preferred":false,"id":468466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balzer, Christian","contributorId":41279,"corporation":false,"usgs":true,"family":"Balzer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":468461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":468464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Moor, Emily","contributorId":48021,"corporation":false,"usgs":true,"family":"de Moor","given":"Emily","email":"","affiliations":[],"preferred":false,"id":468462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNally, Amy","contributorId":53225,"corporation":false,"usgs":true,"family":"McNally","given":"Amy","affiliations":[],"preferred":false,"id":468463,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pawar, Samraat","contributorId":22622,"corporation":false,"usgs":true,"family":"Pawar","given":"Samraat","email":"","affiliations":[],"preferred":false,"id":468460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ryan, Sadie J.","contributorId":102738,"corporation":false,"usgs":true,"family":"Ryan","given":"Sadie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468468,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Thomas C.","contributorId":101139,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468458,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038186,"text":"70038186 - 2013 - The response of Lake Tahoe to climate change","interactions":[],"lastModifiedDate":"2012-12-18T17:00:57","indexId":"70038186","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"The response of Lake Tahoe to climate change","docAbstract":"Meteorology is the driving force for lake internal heating, cooling, mixing, and circulation. Thus continued global warming will affect the lake thermal properties, water level, internal nutrient loading, nutrient cycling, food-web characteristics, fish-habitat, aquatic ecosystem, and other important features of lake limnology. Using a 1-D numerical model - the Lake Clarity Model (LCM) - together with the down-scaled climatic data of the two emissions scenarios (B1 and A2) of the Geophysical Fluid Dynamics Laboratory (GFDL) Global Circulation Model, we found that Lake Tahoe will likely cease to mix to the bottom after about 2060 for A2 scenario, with an annual mixing depth of less than 200 m as the most common value. Deep mixing, which currently occurs on average every 3-4 years, will (under the GFDL B1 scenario) occur only four times during 2061 to 2098. When the lake fails to completely mix, the bottom waters are not replenished with dissolved oxygen and eventually dissolved oxygen at these depths will be depleted to zero. When this occurs, soluble reactive phosphorus (SRP) and ammonium-nitrogen (both biostimulatory) are released from the deep sediments and contribute approximately 51 % and 14 % of the total SRP and dissolved inorganic nitrogen load, respectively. The lake model suggests that climate change will drive the lake surface level down below the natural rim after 2085 for the GFDL A2 but not the GFDL B1 scenario. The results indicate that continued climate changes could pose serious threats to the characteristics of the Lake that are most highly valued. Future water quality planning must take these results into account.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10584-012-0600-8","usgsCitation":"Sahoo, G., Schladow, S., Reuter, J., Coats, R., Dettinger, M., Riverson, J., Wolfe, B., and Costa-Cabral, M., 2013, The response of Lake Tahoe to climate change: Climatic Change, v. 116, no. 1, p. 71-95, https://doi.org/10.1007/s10584-012-0600-8.","productDescription":"25 p.","startPage":"71","endPage":"95","ipdsId":"IP-037468","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":262876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262875,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-012-0600-8"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.165109,39.0 ], [ -120.165109,39.26 ], [ -120.0,39.26 ], [ -120.0,39.0 ], [ -120.165109,39.0 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"5094ec28e4b0e5cfc2acdd15","contributors":{"authors":[{"text":"Sahoo, G.B.","contributorId":49167,"corporation":false,"usgs":true,"family":"Sahoo","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":463614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":463618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reuter, J.E.","contributorId":9539,"corporation":false,"usgs":true,"family":"Reuter","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":463612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coats, R.","contributorId":9540,"corporation":false,"usgs":true,"family":"Coats","given":"R.","email":"","affiliations":[],"preferred":false,"id":463613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, M. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":78909,"corporation":false,"usgs":true,"family":"Dettinger","given":"M.","affiliations":[],"preferred":false,"id":463616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riverson, J.","contributorId":63692,"corporation":false,"usgs":true,"family":"Riverson","given":"J.","affiliations":[],"preferred":false,"id":463615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolfe, B.","contributorId":79000,"corporation":false,"usgs":true,"family":"Wolfe","given":"B.","email":"","affiliations":[],"preferred":false,"id":463617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costa-Cabral, M.","contributorId":96554,"corporation":false,"usgs":true,"family":"Costa-Cabral","given":"M.","affiliations":[],"preferred":false,"id":463619,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040348,"text":"70040348 - 2013 - Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?","interactions":[],"lastModifiedDate":"2013-05-20T09:21:36","indexId":"70040348","displayToPublicDate":"2012-10-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?","docAbstract":"Flow and temperature are strongly linked environmental factors driving ecosystem processes in streams. Stream temperature maxima (<i>T</i><sub>max_w</sub>) and stream flow minima (<i>Q</i><sub>min</sub>) can create periods of stress for aquatic organisms. In mountainous areas, such as western North America, recent shifts toward an earlier spring peak flow and decreases in low flow during summer/fall have been reported. We hypothesized that an earlier peak flow could be shifting the timing of low flow and leading to a decrease in the interval between <i>T</i><sub>max_w</sub> and <i>Q</i><sub>min</sub>. We also examined if years with extreme low <i>Q</i><sub>min</sub> were associated with years of extreme high <i>T</i><sub>max_w</sub>. We tested these hypotheses using long32 term data from 22 minimally human-influenced streams for the period 1950-2010. We found trends toward a shorter time lag between <i>T</i><sub>max_w</sub> and <i>Q</i><sub>min</sub> over time and a strong negative association between their magnitudes. Our findings show that aquatic biota may be increasingly experiencing narrower time windows to recover or adapt between these extreme events of low flow and high temperature. This study highlights the importance of evaluating multiple environmental drivers to better gauge the effects of the recent climate variability in freshwaters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-012-1327-2","usgsCitation":"Arismendi, I., Safeeq, M., Johnson, S.L., Dunham, J., and Haggerty, R., 2013, Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?: Hydrobiologia, v. 712, no. 1, p. 61-70, https://doi.org/10.1007/s10750-012-1327-2.","productDescription":"10 p.","startPage":"61","endPage":"70","numberOfPages":"10","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":262686,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262684,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-012-1327-2","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"North America","volume":"712","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"50801866e4b0a0242ef285c1","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":468134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safeeq, Mohammad 0000-0003-0529-3925","orcid":"https://orcid.org/0000-0003-0529-3925","contributorId":77814,"corporation":false,"usgs":false,"family":"Safeeq","given":"Mohammad","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":468135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":468133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":468137,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038470,"text":"70038470 - 2013 - Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs","interactions":[],"lastModifiedDate":"2017-05-05T11:12:13","indexId":"70038470","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs","docAbstract":"<p>Understanding the environmental factors that regulate fish recruitment is essential for effective management of fisheries. Generally, first-year survival, and therefore recruitment, is inherently less consistent in systems with high intra- and interannual variability. Irrigation reservoirs display sporadic patterns of annual drawdown, which can pose a substantial challenge to recruitment of fishes. We developed species-specific models using an 18-year data set compiled from state and federal agencies to investigate variables that regulate the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs in south-west Nebraska, USA. The candidate model set for walleye included only abiotic variables (water-level elevation, minimum daily air temperature during winter prior to hatching, annual precipitation, spring warming rate and May reservoir discharge), and the candidate model set for white bass included primarily biotic variables (catch per unit effort (CPUE) of black crappie <i>Pomoxis nigromaculatus</i>, CPUE of age-0 walleye, CPUE of bluegill <i>Lepomis macrochirus</i> and CPUE of age-3 and older white bass), each of which had a greater relative importance than the single abiotic variable (minimum daily air temperature during winter after hatching). Our findings improve the understanding of the recruitment of fishes in irrigation reservoirs and the relative roles of abiotic and biotic factors.</p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12000","usgsCitation":"DeBoer, J.A., Pope, K.L., and Koupal, K.D., 2013, Environmental factors regulating the recruitment of walleye <i>Sander vitreus</i> and white bass <i>Morone chrysops</i> in irrigation reservoirs: Ecology of Freshwater Fish, v. 22, no. 1, p. 43-54, https://doi.org/10.1111/eff.12000.","productDescription":"12 p.","startPage":"43","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038203","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":262465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262456,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eff.12000"}],"country":"United States","state":"Nebraska","otherGeospatial":"Republican River","volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-15","publicationStatus":"PW","scienceBaseUri":"50744f99e4b090654e7b2648","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":464316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":464315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koupal, Keith D.","contributorId":37592,"corporation":false,"usgs":true,"family":"Koupal","given":"Keith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":464317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004499,"text":"70004499 - 2013 - Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach","interactions":[],"lastModifiedDate":"2013-02-07T18:17:27","indexId":"70004499","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach","docAbstract":"Recent earthquakes such as the Haiti earthquake of 12 January 2010 and the Qinghai earthquake on 14 April 2010 have highlighted the importance of rapid estimation of casualties after the event for humanitarian response. Both of these events resulted in surprisingly high death tolls, casualties and survivors made homeless. In the Mw = 7.0 Haiti earthquake, over 200,000 people perished with more than 300,000 reported injuries and 2 million made homeless. The Mw = 6.9 earthquake in Qinghai resulted in over 2,000 deaths with a further 11,000 people with serious or moderate injuries and 100,000 people have been left homeless in this mountainous region of China. In such events relief efforts can be significantly benefitted by the availability of rapid estimation and mapping of expected casualties. This paper contributes to ongoing global efforts to estimate probable earthquake casualties very rapidly after an earthquake has taken place. The analysis uses the assembled empirical damage and casualty data in the Cambridge Earthquake Impacts Database (CEQID) and explores data by event and across events to test the relationships of building and fatality distributions to the main explanatory variables of building type, building damage level and earthquake intensity. The prototype global casualty estimation model described here uses a semi-empirical approach that estimates damage rates for different classes of buildings present in the local building stock, and then relates fatality rates to the damage rates of each class of buildings. This approach accounts for the effect of the very different types of buildings (by climatic zone, urban or rural location, culture, income level etc), on casualties. The resulting casualty parameters were tested against the overall casualty data from several historical earthquakes in CEQID; a reasonable fit was found.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10518-012-9373-8","usgsCitation":"So, E., and Spence, R., 2013, Estimating shaking-induced casualties and building damage for global earthquake events: a proposed modelling approach: Bulletin of Earthquake Engineering, v. 11, no. 1, p. 347-363, https://doi.org/10.1007/s10518-012-9373-8.","productDescription":"17 p.","startPage":"347","endPage":"363","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":262462,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262460,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-012-9373-8"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"50744fa2e4b090654e7b264c","contributors":{"authors":[{"text":"So, Emily","contributorId":19420,"corporation":false,"usgs":true,"family":"So","given":"Emily","email":"","affiliations":[],"preferred":false,"id":350508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spence, Robin","contributorId":97366,"corporation":false,"usgs":true,"family":"Spence","given":"Robin","affiliations":[],"preferred":false,"id":350509,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039931,"text":"70039931 - 2013 - Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA","interactions":[],"lastModifiedDate":"2017-05-25T13:51:25","indexId":"70039931","displayToPublicDate":"2012-09-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA","docAbstract":"Nebraska's Rainwater Basin (RWB) provides important wetland habitat for North American migratory birds. Concern exists that pesticide and nutrient runoff from surrounding row-crops enters wetlands degrading water quality and adversely affecting birds and wildlife. Frogs may be especially vulnerable. Plains leopard (Lithobates blairi) metamorphs from RWB wetlands with varying concentrations of pesticides were evaluated for a suite of biomarkers of exposure to endocrine active chemicals. Froglets had ovarian dysgenesis, high rates of testicular oocytes, and female-biased sex ratios however, there was no clear statistical association between pesticide concentrations and biomarkers. Data interpretation was hindered because timing and duration of exposures were unknown and due to an incomplete understanding of L. blairi sexual development. Emphasis is on describing the complex developmental biology of closely-related leopard frogs, how this understanding can explain RWB L. blairi anomalies, and the need for sampling at the appropriate life stage.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam. Netherlands","doi":"10.1016/j.envpol.2012.07.042","usgsCitation":"Papoulias, D.M., Schwarz, M.S., and Mena, L., 2013, Gonadal abnormalities in frogs (Lithobates spp.) collected from managed wetlands in an agricultural region of Nebraska, USA: Environmental Pollution, v. 172, p. 1-8, https://doi.org/10.1016/j.envpol.2012.07.042.","productDescription":"8 p.","startPage":"1","endPage":"8","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":261938,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261925,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2012.07.042"}],"country":"United States","state":"Nebraska","volume":"172","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a29a9e4b0c8380cd5ab21","contributors":{"authors":[{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":467222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Matt S.","contributorId":88193,"corporation":false,"usgs":true,"family":"Schwarz","given":"Matt","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mena, Lourdes","contributorId":105576,"corporation":false,"usgs":true,"family":"Mena","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":467224,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003725,"text":"70003725 - 2013 - Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","interactions":[],"lastModifiedDate":"2013-10-23T08:33:19","indexId":"70003725","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary","docAbstract":"Many lotic fish species use natural patterns of variation in discharge and temperature as spawning cues, and these natural patterns are often altered by river regulation. The effects of spring discharge and water temperature variation on the spawning of shovelnose sturgeon Scaphirhynchus platorynchus have not been well documented. From 2006 through 2009, we had the opportunity to study the effects of experimental discharge levels on shovelnose sturgeon spawning in the lower Marias River, a regulated tributary to the Missouri River in Montana. In 2006, shovelnose sturgeon spawned in the Marias River in conjunction with the ascending, peak (134 m<sup>3</sup>/s) and descending portions of the spring hydrograph and water temperatures from 16&deg;C to 19&deg;C. In 2008, shovelnose sturgeon spawned in conjunction with the peak (118 m<sup>3</sup>/s) and descending portions of the spring hydrograph and during a prolonged period of increased discharge (28&ndash;39 m<sup>3</sup>/s), coupled with water temperatures from 11&deg;C to 23&deg;C in the lower Marias River. No evidence of shovelnose sturgeon spawning was documented in the lower Marias River in 2007 or 2009 when discharge remained low (14 and 20 m<sup>3</sup>/s) despite water temperatures suitable and optimal (12&deg;C-24&deg;C) for shovelnose sturgeon embryo development. A similar relationship between shovelnose sturgeon spawning and discharge was observed in the Teton River. These data suggest that discharge must reach a threshold level (28 m<sup>3</sup>/s) and should be coupled with water temperatures suitable (12&deg;C-24&deg;C) or optimal (16&deg;C-20&deg;C) for shovelnose sturgeon embryo development to provide a spawning cue for shovelnose sturgeon in the lower Marias River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Ltd.","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.2587","usgsCitation":"Goodman, B., Guy, C., Camp, S., Gardner, W., Kappenman, K., and Webb, M., 2013, Shovelnose sturgeon spawning in relation to varying discharge treatments in a Missouri River tributary: River Research and Applications, v. 29, no. 8, p. 1004-1015, https://doi.org/10.1002/rra.2587.","productDescription":"12 p.","startPage":"1004","endPage":"1015","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":259392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259379,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2587","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Marias River","volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-06-18","publicationStatus":"PW","scienceBaseUri":"505b8ee8e4b08c986b318c06","contributors":{"authors":[{"text":"Goodman, B.J.","contributorId":25813,"corporation":false,"usgs":true,"family":"Goodman","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":348541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, C.S.","contributorId":59160,"corporation":false,"usgs":true,"family":"Guy","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":348542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, S.L.","contributorId":93320,"corporation":false,"usgs":true,"family":"Camp","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":348543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W.M.","contributorId":7817,"corporation":false,"usgs":true,"family":"Gardner","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":348539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kappenman, K.M.","contributorId":13412,"corporation":false,"usgs":true,"family":"Kappenman","given":"K.M.","affiliations":[],"preferred":false,"id":348540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, M.A.H.","contributorId":102241,"corporation":false,"usgs":true,"family":"Webb","given":"M.A.H.","affiliations":[],"preferred":false,"id":348544,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038464,"text":"70038464 - 2013 - Toxicity of sediment pore water in Puget Sound (Washington, USA): a review of spatial status and temporal trends","interactions":[],"lastModifiedDate":"2016-12-18T17:34:01","indexId":"70038464","displayToPublicDate":"2012-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of sediment pore water in Puget Sound (Washington, USA): a review of spatial status and temporal trends","docAbstract":"Data from toxicity tests of the pore water extracted from Puget Sound sediments were compiled from surveys conducted from 1997 to 2009. Tests were performed on 664 samples collected throughout all of the eight monitoring regions in the Sound, an area encompassing 2,294.1 km<sup>2</sup>. Tests were performed with the gametes of the Pacific purple sea urchin, Strongylocentrotus purpuratus, to measure percent fertilization success as an indicator of relative sediment quality. Data were evaluated to determine the incidence, degree of response, geographic patterns, spatial extent, and temporal changes in toxicity. This is the first survey of this kind and magnitude in Puget Sound. In the initial round of surveys of the eight regions, 40 of 381 samples were toxic for an incidence of 10.5 %. Stations classified as toxic represented an estimated total of 107.1 km<sup>2</sup>, equivalent to 4.7 % of the total area. Percent sea urchin fertilization ranged from >100 % of the nontoxic, negative controls to 0 %. Toxicity was most prevalent and pervasive in the industrialized harbors and lowest in the deep basins. Conditions were intermediate in deep-water passages, urban bays, and rural bays. A second round of testing in four regions and three selected urban bays was completed 5&ndash;10 years following the first round. The incidence and spatial extent of toxicity decreased in two of the regions and two of the bays and increased in the other two regions and the third bay; however, only the latter change was statistically significant. Both the incidence and spatial extent of toxicity were lower in the Sound than in most other US estuaries and marine bays.","language":"English","publisher":"Springer Netherlands","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10661-012-2590-4","usgsCitation":"Long, E.R., Carr, R.S., Biedenbach, J.M., Weakland, S., Partridge, V., and Dutch, M., 2013, Toxicity of sediment pore water in Puget Sound (Washington, USA): a review of spatial status and temporal trends: Environmental Monitoring and Assessment, v. 185, no. 1, p. 755-775, https://doi.org/10.1007/s10661-012-2590-4.","productDescription":"21 p.","startPage":"755","endPage":"775","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":259402,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.3759765625,\n              46.965259400349275\n            ],\n            [\n              -125.3759765625,\n              49.13859653703879\n            ],\n            [\n              -121.81640624999999,\n              49.13859653703879\n            ],\n            [\n              -121.81640624999999,\n              46.965259400349275\n            ],\n            [\n              -125.3759765625,\n              46.965259400349275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"185","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-03-06","publicationStatus":"PW","scienceBaseUri":"505bb612e4b08c986b326a47","contributors":{"authors":[{"text":"Long, Edward R.","contributorId":106365,"corporation":false,"usgs":true,"family":"Long","given":"Edward","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, R. Scott","contributorId":14025,"corporation":false,"usgs":true,"family":"Carr","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":464280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biedenbach, James M.","contributorId":64353,"corporation":false,"usgs":true,"family":"Biedenbach","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weakland, Sandra","contributorId":107553,"corporation":false,"usgs":true,"family":"Weakland","given":"Sandra","email":"","affiliations":[],"preferred":false,"id":464285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Partridge, Valerie","contributorId":104760,"corporation":false,"usgs":true,"family":"Partridge","given":"Valerie","affiliations":[],"preferred":false,"id":464283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dutch, Margaret","contributorId":83781,"corporation":false,"usgs":true,"family":"Dutch","given":"Margaret","affiliations":[],"preferred":false,"id":464282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046846,"text":"70046846 - 2013 - Rejuvenating Pre-GPS era geophysical surveys using The National Map","interactions":[],"lastModifiedDate":"2013-07-08T15:53:26","indexId":"70046846","displayToPublicDate":"2012-05-01T15:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2469,"text":"Journal of Surveying Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rejuvenating Pre-GPS era geophysical surveys using The National Map","docAbstract":"Old geophysical surveys [pre–Global Positioning System (GPS)] stand as valuable, largely untapped sources of scientific data. If data from these surveys were in a format that had reasonable accuracy, availability, and ease of access, they could be more widely used. In this paper, a pre-GPS survey is integrated into a modern geographic database, in this case, The National Map (TNM). The ultimate goal is to improve the accuracy, precision, provenance, and ease of access of the geospatial components of archived geophysical data. An unique set of data sources was assembled for this purpose. A comparison of these different data sources indicates that more than 80% of stations were positioned on The National Map within 15 m (horizontal) and 2 m (vertical) of the GPS-derived coordinates for each station within the survey. Although online database coordinate accuracy continues to improve, these results imply that web databases have already matured to a point where it is possible to integrate pre-GPS era survey coordinate data with reasonable positional accuracy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Surveying Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)SU.1943-5428.0000068","usgsCitation":"Finn, M.P., Shoberg, T.G., and Stoddard, P., 2013, Rejuvenating Pre-GPS era geophysical surveys using The National Map: Journal of Surveying Engineering, v. 138, no. 2, p. 57-65, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000068.","productDescription":"9 p.","startPage":"57","endPage":"65","ipdsId":"IP-023296","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":274721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274720,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)SU.1943-5428.0000068"}],"country":"United States","state":"Missouri","county":"Crawford County;Dent County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.7747,35.9957 ], [ -95.7747,40.6136 ], [ -89.0995,40.6136 ], [ -89.0995,35.9957 ], [ -95.7747,35.9957 ] ] ] } } ] }","volume":"138","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf74e4b0f81004b77dac","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":480449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoddard, Paul","contributorId":84650,"corporation":false,"usgs":true,"family":"Stoddard","given":"Paul","affiliations":[],"preferred":false,"id":480451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006253,"text":"70006253 - 2013 - Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA","interactions":[],"lastModifiedDate":"2013-06-17T08:44:10","indexId":"70006253","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA","docAbstract":"This study provides one historical and two alternative future contexts for evaluating land cover modifications within the Upper Mississippi River (UMR) floodplain. Given previously documented changes in land use, river engineering, restoration efforts and hydro-climatic changes within the UMR basin and floodplain, we wanted to know which of these changes are the most important determinants of current and projected future floodplain land cover. We used Geographic Information System data covering approximately 37% of the UMR floodplain (3232 km<sup>2</sup>) for ca 1890 (pre-lock and dam) and three contemporary periods (1975, 1989 and 2000) across which river restoration actions have increased and hydro-climatic changes have occurred. We further developed two 50-year future scenarios from the spatially dependent land cover transitions that occurred from 1975 to 1989 (scenario A) and from 1989 to 2000 (scenario B) using Markov models.Land cover composition of the UMR did not change significantly from 1975 to 2000, indicating that current land cover continues to reflect historical modifications that support agricultural production and commercial navigation despite some floodplain restoration efforts and variation in river discharge. Projected future land cover composition based on scenario A was not significantly different from the land cover for 1975, 1989 or 2000 but was different from the land cover of scenario B, which was also different from all other periods. Scenario B forecasts transition of some forest and marsh habitat to open water by the year 2050 for some portions of the northern river and projects that some agricultural lands will transition to open water in the southern portion of the river. Future floodplain management and restoration planning efforts in the UMR should consider the potential consequences of continued shifts in hydro-climatic conditions that may occur as a result of climate change and the potential effects on floodplain land cover.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.1615","usgsCitation":"De Jager, N., Rohweder, J., and Nelson, J., 2013, Past and predicted future changes in the land cover of the Upper Mississippi River floodplain, USA: River Research and Applications, p. 608-618, https://doi.org/10.1002/rra.1615.","productDescription":"11 p.","startPage":"608","endPage":"618","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259255,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1615","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","otherGeospatial":"Upper Mississippi River Floodplain","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a7581e4b0c8380cd77bae","contributors":{"authors":[{"text":"De Jager, N. R.","contributorId":72610,"corporation":false,"usgs":true,"family":"De Jager","given":"N. R.","affiliations":[],"preferred":false,"id":354154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, J.J.","contributorId":86176,"corporation":false,"usgs":true,"family":"Rohweder","given":"J.J.","affiliations":[],"preferred":false,"id":354155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, J.C.","contributorId":102594,"corporation":false,"usgs":true,"family":"Nelson","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":354156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003589,"text":"70003589 - 2013 - Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models","interactions":[],"lastModifiedDate":"2013-03-18T13:01:35","indexId":"70003589","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models","docAbstract":"Two-dimensional hydrodynamic models are being used increasingly as alternatives to traditional one-dimensional instream flow methodologies for assessing adequacy of flow and associated faunal habitat. Two-dimensional modelling of habitat has focused primarily on fishes, but fish-based assessments may not model benthic macroinvertebrate habitat effectively. We extend two-dimensional techniques to a macroinvertebrate assemblage in a high-elevation stream in the Sierra Nevada (Dana Fork of the Tuolumne River, Yosemite National Park, CA, USA). This stream frequently flows at less than 0.03?m<sup>3</sup>?s<sup>?1</sup> in late summer and is representative of a common water abstraction scenario: maximum water abstraction coinciding with seasonally low flows. We used two-dimensional modelling to predict invertebrate responses to reduced flows that might result from increased abstraction. We collected site-specific field data on the macroinvertebrate assemblage, bed topography and flow conditions and then coupled a two-dimensional hydrodynamic model with macroinvertebrate indices to evaluate habitat across a range of low flows. Macroinvertebrate indices were calculated for the wetted area at each flow. A surrogate flow record based on an adjacent watershed was used to evaluate frequency and duration of low flow events. Using surrogate historical records, we estimated that flow should fall below 0.071?m<sup>3</sup>?s<sup>?1</sup> at least 1?day in 82 of 95?years and below 0.028?m<sup>3</sup>?s<sup>?1</sup> in 48 of 95?years. Invertebrate metric means indicated minor losses in response to modelled discharge reductions, but wetted area decreased substantially. Responses of invertebrates to water abstraction will likely be a function of changing habitat quantity rather than quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1607","usgsCitation":"Waddle, T., and Holmquist, J., 2013, Macroinvertebrate response to flow changes in a subalpine stream: predictions from two-dimensional hydrodynamic models: River Research and Applications, v. 29, no. 3, p. 366-379, https://doi.org/10.1002/rra.1607.","productDescription":"14 p.","startPage":"366","endPage":"379","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474075,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/11t699gg","text":"External Repository"},{"id":259234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259229,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1607","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada;Tuolumne River;Yosemite National Park;Dana Fork","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-11-21","publicationStatus":"PW","scienceBaseUri":"505a4b1ee4b0c8380cd692d7","contributors":{"authors":[{"text":"Waddle, T.J.","contributorId":90240,"corporation":false,"usgs":true,"family":"Waddle","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":347850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist, J.G.","contributorId":53643,"corporation":false,"usgs":true,"family":"Holmquist","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":347849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005548,"text":"70005548 - 2013 - Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?","interactions":[],"lastModifiedDate":"2013-02-07T17:54:08","indexId":"70005548","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?","docAbstract":"We applied an Index of Biotic Integrity (IBI) used on Wisconsin/Minnesota waters of the upper Mississippi River (UMR) to compare data from two systemic sampling programmes. Ability to use data from multiple sampling programmes could extend spatial and temporal coverage of river assessment and monitoring efforts. We normalized for effort and tested fish community data collected by the Environmental Monitoring and Assessment Program-Great Rivers Ecosystems (EMAP-GRE) 2004&ndash;2006 and the Long Term Resource Monitoring Program (LTRMP) 1993&ndash;2006. Each programme used daytime electrofishing along main channel borders but with some methodological and design differences. EMAP-GRE, designed for baseline and, eventually, compliance monitoring, used a probabilistic, continuous design. LTRMP, designed primarily for baseline and trend monitoring, used a stratified random design in five discrete study reaches. Analysis of similarity indicated no significant difference between EMAP-GRE and LTRMP IBI scores (<i>n</i>=238; Global <i>R</i>= 0.052; significance level=0.972). Both datasets distinguished clear differences only between 'Fair' and 'Poor' condition categories, potentially supporting a 'pass&ndash;fail' assessment strategy. Thirteen years of LTRMP data demonstrated stable IBI scores through time in four of five reaches sampled. LTRMP and EMAPGRE IBI scores correlated along the UMR's upstream to downstream gradient (df [3, 25]; <i>F</i>=1.61; <i>p</i>=0.22). A decline in IBI scores from upstream to downstream was consistent with UMR fish community studies and a previous, empirically modelled human disturbance gradient. Comparability between EMAP-GRE (best upstream to downstream coverage) and LTRMP data (best coverage over time and across the floodplain) supports a next step of developing and testing a systemic, multi-metric fish index on the UMR that both approaches could inform.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1575","usgsCitation":"Dukerschein, J., Bartels, A., Ickes, B., and Pearson, M., 2013, Are two systemic fish assemblage sampling programmes on the upper Mississippi River telling us the same thing?: River Research and Applications, v. 29, no. 1, p. 79-89, https://doi.org/10.1002/rra.1575.","productDescription":"11 p.","startPage":"79","endPage":"89","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259089,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259088,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1575","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"5059ed62e4b0c8380cd497a9","contributors":{"authors":[{"text":"Dukerschein, J.T.","contributorId":56501,"corporation":false,"usgs":true,"family":"Dukerschein","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":352766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartels, A.D.","contributorId":81841,"corporation":false,"usgs":true,"family":"Bartels","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":352767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ickes, B.S. 0000-0001-5622-3842","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":39332,"corporation":false,"usgs":true,"family":"Ickes","given":"B.S.","affiliations":[],"preferred":false,"id":352765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, M.S.","contributorId":91735,"corporation":false,"usgs":true,"family":"Pearson","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":352768,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037922,"text":"70037922 - 2013 - Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2013-03-18T13:03:40","indexId":"70037922","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River","docAbstract":"Contiguous floodplain lakes ('lakes') have historically been used as study units for comparative studies of limnological variables that vary within lakes. The hierarchical nature of these studies implies that study variables may be correlated within lakes and that covariate associations may differ not only among lakes but also by spatial scale. We evaluated the utility of treating lakes as study units for limnological variables that vary within lakes based on the criteria of important levels of among-lake variation in study variables and the observation of covariate associations that vary among lakes. These concerns were selected, respectively, to ensure that lake signatures were distinguishable from within-lake variation and that lake-scale effects on covariate associations might provide inferences not available by ignoring those effects. Study data represented chlorophyll a (CHL) and inorganic suspended solids (ISS) data from lakes within three reaches of the Upper Mississippi River. Sampling occurred in summer from 1993 through 2005 (except 2003); numbers of lakes per reach varied from 7 to 19, and median lake area varied from 53 to 101 ha. CHL and ISS levels were modelled linearly, with lake, year and lake x year effects treated as random. For all reaches, the proportions of variation in CHL and ISS attributable to differences among lakes (including lake and lake x year effects) were substantial (range: 18%-73%). Finally, among-lake variation in CHL and ISS was strongly associated with covariates and covariate effects that varied by lakes or lake-years (including with vegetation levels and, for CHL, log(ISS)). These findings demonstrate the utility of treating floodplain lakes as study units for the study of limnological variables and the importance of addressing hierarchy within study designs when making inferences from data collected within floodplain lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1603","usgsCitation":"Gray, B., Rogala, J., and Houser, J., 2013, Treating floodplain lakes of large rivers as study units for variables that vary within lakes; an evaluation using chlorophyll <i>a</i> and inorganic suspended solids data from floodplain lakes of the Upper Mississippi River: River Research and Applications, v. 29, no. 3, p. 330-342, https://doi.org/10.1002/rra.1603.","productDescription":"13 p.","startPage":"330","endPage":"342","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259390,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1603","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois;Iowa;Minnesota;Missouri;Wisconsin","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-11-03","publicationStatus":"PW","scienceBaseUri":"505bb790e4b08c986b327354","contributors":{"authors":[{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":463052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, J.R.","contributorId":104331,"corporation":false,"usgs":true,"family":"Rogala","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":463054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houser, J.N.","contributorId":91603,"corporation":false,"usgs":true,"family":"Houser","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":463053,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97248,"text":"tm3A22 - 2013 - Measuring discharge with acoustic Doppler current profilers from a moving boat","interactions":[],"lastModifiedDate":"2014-03-06T11:34:27","indexId":"tm3A22","displayToPublicDate":"2009-01-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-A22","title":"Measuring discharge with acoustic Doppler current profilers from a moving boat","docAbstract":"The use of acoustic Doppler current profilers (ADCPs) from a moving boat is now a commonly used method for measuring streamflow. The technology and methods for making ADCP-based discharge measurements are different from the technology and methods used to make traditional discharge measurements with mechanical meters. Although the ADCP is a valuable tool for measuring streamflow, it is only accurate when used with appropriate techniques. This report presents guidance on the use of ADCPs for measuring streamflow; this guidance is based on the experience of U.S. Geological Survey employees and published reports, papers, and memorandums of the U.S. Geological Survey. The guidance is presented in a logical progression, from predeployment planning, to field data collection, and finally to post processing of the collected data. Acoustic Doppler technology and the instruments currently (2013) available also are discussed to highlight the advantages and limitations of the technology. More in-depth, technical explanations of how an ADCP measures streamflow and what to do when measuring in moving-bed conditions are presented in the appendixes. ADCP users need to know the proper procedures for measuring discharge from a moving boat and why those procedures are required, so that when the user encounters unusual field conditions, the procedures can be adapted without sacrificing the accuracy of the streamflow-measurement data.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3A22","collaboration":"This report is Chapter 22 of Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>.","usgsCitation":"Mueller, D.S., Wagner, C., Rehmel, M.S., Oberg, K.A., and Rainville, F., 2013, Measuring discharge with acoustic Doppler current profilers from a moving boat (First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014): U.S. Geological Survey Techniques and Methods 3-A22, xvi, 95 p., https://doi.org/10.3133/tm3A22.","productDescription":"xvi, 95 p.","numberOfPages":"116","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":283413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3A22.jpg"},{"id":12298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/3a22/","linkFileType":{"id":5,"text":"html"}},{"id":283412,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/3a22/pdf/tm3a22.pdf"}],"edition":"First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61135e","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":301485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rehmel, Michael S. msrehmel@usgs.gov","contributorId":3723,"corporation":false,"usgs":true,"family":"Rehmel","given":"Michael","email":"msrehmel@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":301486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":301483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rainville, Francois","contributorId":59895,"corporation":false,"usgs":true,"family":"Rainville","given":"Francois","email":"","affiliations":[],"preferred":false,"id":301487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040577,"text":"ds728 - 2012 - Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","interactions":[],"lastModifiedDate":"2020-11-03T15:28:31.701869","indexId":"ds728","displayToPublicDate":"2020-11-03T10:35:00","publicationYear":"2012","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":"728","title":"Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey, measured the fluid temperature of groundwater in deep bedrock wells in the State of New Hampshire in order to characterize geothermal gradients in bedrock. All wells selected for the study had low water yields, which correspond to low groundwater flow from fractures. This reduced the potential for flow-induced temperature changes that would mask the natural geothermal gradient in the bedrock. All the wells included in this study were privately owned, and permission to use the wells was obtained from homeowners before logging.</p>\n<p>Maximum groundwater temperatures at the bottom of the logs were between 11.7 and 17.3 degrees Celsius. Geothermal gradients were generally higher than typically reported for other water wells in the United States. Some of the high gradients were associated with high natural gamma emissions. Groundwater flow was discernible in 5 of the 10 wells studied but only obscured the portion of the geothermal gradient signal where groundwater actually flowed through the well. Temperature gradients varied by mapped bedrock type but can also vary by differences in mineralogy or rock type within the wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds728","collaboration":"Prepared in cooperation with the New Hampshire Geological Survey","usgsCitation":"Degnan, J., Barker, G., Olson, N., and Wilder, L., 2012, Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012: U.S. Geological Survey Data Series 728, Report: vi; 19 p.; Temperature and gamma geophysical logs, https://doi.org/10.3133/ds728.","productDescription":"Report: vi; 19 p.; Temperature and gamma geophysical logs","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":262893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_728.gif"},{"id":262891,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/728/pdf/ds728_report_508.pdf","text":"Report","size":"2.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":262892,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/728/logs.html","text":"Temperature and gamma geophysical logs.","linkFileType":{"id":5,"text":"html"}},{"id":262890,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/728/"}],"country":"United States","state":"New 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,{"id":70009637,"text":"fs20123009 - 2012 - Core Science Systems—Mission overview","interactions":[],"lastModifiedDate":"2023-09-08T17:30:40.536115","indexId":"fs20123009","displayToPublicDate":"2019-10-03T10:05:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3009","displayTitle":"Core Science Systems—Mission Overview","title":"Core Science Systems—Mission overview","docAbstract":"<p>The Core Science Systems Mission Area delivers nationally focused Earth systems and information science that provides fundamental research and data that underpins all Mission Areas of the USGS, the USGS Science Strategy, and Presidential, Secretarial, and societal priorities. —<i>Kevin T. Gallagher, Associate Director, Core Science Systems</i></p><p>The U.S. Geological Survey (USGS) Core Science Systems (CSS) Mission Area spans the Earth's \"Critical Zone\" (National Research Council, 2001). The Critical Zone is the near-surface interface that extends from the tops of the trees down to the base of the deepest groundwater.</p><p>CSS provides a foundation for all USGS Mission Areas, as well as for the mission of the Department of the Interior (DOI), in the following ways:</p><ul><li>Conducts basic and applied science research and development</li><li>Fosters broad understanding and application of analyses and information</li><li>Provides a framework for data and information sharing</li><li>Creates new geospatially enabled data and information</li><li>Provides technical expertise in standards and methods</li><li>Builds and facilitates partnerships and innovation</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123009","usgsCitation":"Gallagher, K.T., 2012, Core Science Systems—Mission overview: U.S. Geological Survey Fact Sheet 2012–3009, 4 p.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":210,"text":"Core Science Systems","active":false,"usgs":true}],"links":[{"id":204804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2012/3009/coverthb.jpg"},{"id":367949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3009/fs20123009.pdf","text":"Report","size":"5.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2012-3009"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/core-science-systems\" data-mce-href=\"https://www.usgs.gov/mission-areas/core-science-systems\">Core Science Systems</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p>","tableOfContents":"<ul><li>Core Science Systems—Mission Overview</li><li>Mapping</li><li>Research</li><li>Standards</li><li>Synthesis</li><li>Collections</li><li>Partnerships</li><li>Reference Cited</li></ul>","publishedDate":"2012-03-05","noUsgsAuthors":false,"publicationDate":"2012-03-05","publicationStatus":"PW","scienceBaseUri":"5059fc0fe4b0c8380cd4e0df","contributors":{"authors":[{"text":"Gallagher, Kevin T. 0000-0002-0638-2578 kgallagher@usgs.gov","orcid":"https://orcid.org/0000-0002-0638-2578","contributorId":320,"corporation":false,"usgs":true,"family":"Gallagher","given":"Kevin","email":"kgallagher@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":356797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043420,"text":"70043420 - 2012 - LiDAR - An emerging tool for geological applications","interactions":[],"lastModifiedDate":"2017-05-16T16:10:09","indexId":"70043420","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5269,"text":"Outcrop: The Newsletter of the Rocky Mountain Association of Geologists","active":true,"publicationSubtype":{"id":10}},"title":"LiDAR - An emerging tool for geological applications","docAbstract":"<p><span>Over the past five to ten years the use and applicability of light detection and ranging (LiDAR) technology has increased dramatically. As a result, more and more LiDAR data now are being collected across the country for a wide range of applications, and LiDAR currently is the technology of choice for high resolution terrain model creation, 3-D city and infrastructure modeling, forestry, and a wide range of scientific applications. LiDAR is a key technology for geological applications both within and outside the U.S. Geological Survey, and efforts are underway to try to collect high resolution LiDAR data for the entire United States (https://pubs.usgs.gov/fs/2012/3089/pdf/fs2012-3089.pdf).</span></p>","language":"English","publisher":"Rocky Mountain Association of Geologists","publisherLocation":"Denver, CO","usgsCitation":"Stoker, J.M., 2012, LiDAR - An emerging tool for geological applications: Outcrop: The Newsletter of the Rocky Mountain Association of Geologists, v. 61, no. 10, p. 6-10.","productDescription":"4 p.","startPage":"6","endPage":"10","ipdsId":"IP-040387","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333474,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/outcrop-2012"}],"country":"UNITED STATES","volume":"61","issue":"10","publicComments":"October 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dedae4b01192927d9f8f","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":659086,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048976,"text":"ofr20121238 - 2012 - Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","interactions":[],"lastModifiedDate":"2018-02-06T12:26:19","indexId":"ofr20121238","displayToPublicDate":"2016-09-30T14:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1238","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series.</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes during water years 2008–2011. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2007 through September 30, 2008 is called \"water year 2008.\" Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are presented in this report for water years from 2008–2011. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll <i>a </i>concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are available via the \"USGS Annual Water Data Report\" Web site: <a href=\"http://wdr.water.usgs.gov/\" data-mce-href=\"http://wdr.water.usgs.gov/\">http://wdr.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121238","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., https://dx.doi.org/10.3133/ofr20121238.","productDescription":"558 p.","numberOfPages":"558","onlineOnly":"Y","ipdsId":"IP-042122","costCenters":[{"id":677,"text":"Wisconsin Water Science 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 \"}}]}","publicComments":"Previous citation: Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf.<br>  <p>This report has previously been available from http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf. The report that had been available on that Web site had a different cover, title page, and information page.</p>","contact":"<p><a href=\"mailto\" data-mce-href=\"mailto\">Director</a>, Wisconsin Water Science Center<br> U.S. Geological Survey<br> 8505 Research Way<br> Middleton, WI 53562<br> <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Water Year 2008<br></li><li>Water Year 2009<br></li><li>Water Year 2010<br></li><li>Water Year 2011</li></ul>","publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7f3a1e4b0bc0bec0a0ab6","contributors":{"authors":[{"text":"Manteufel, S. Bridgett sbmarsh@usgs.gov","contributorId":2593,"corporation":false,"usgs":true,"family":"Manteufel","given":"S.","email":"sbmarsh@usgs.gov","middleInitial":"Bridgett","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Daniel dlolson@usgs.gov","contributorId":2591,"corporation":false,"usgs":true,"family":"Olson","given":"Daniel","email":"dlolson@usgs.gov","affiliations":[],"preferred":true,"id":518267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goddard, Gerald L.","contributorId":35721,"corporation":false,"usgs":true,"family":"Goddard","given":"Gerald","email":"","middleInitial":"L.","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":649910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173718,"text":"70173718 - 2012 - Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","interactions":[],"lastModifiedDate":"2016-06-08T10:24:41","indexId":"70173718","displayToPublicDate":"2016-03-14T08:30:00","publicationYear":"2012","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":"Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","docAbstract":"<p><span>Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (&kappa; = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; &kappa; = 0.49), and lowest for large-scale models (CCR = 73%; &kappa; = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.716015","usgsCitation":"Sindt, A.R., Quist, M.C., and Pierce, C., 2012, Habitat associations of fish species of greatest conservation need in wadeable Iowa streams: North American Journal of Fisheries Management, p. 1046-1061, https://doi.org/10.1080/02755947.2012.716015.","productDescription":"15 p.","startPage":"1046","endPage":"1061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029055","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502566,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/101","text":"External Repository"},{"id":323255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.217706,43.50055],[-91.216035,43.481142],[-91.233367,43.455168],[-91.200359,43.412701],[-91.198953,43.389835],[-91.21477,43.365874],[-91.20662,43.352524],[-91.132813,43.32803],[-91.107237,43.313645],[-91.07371,43.274746],[-91.071698,43.261014],[-91.058644,43.257679],[-91.066398,43.239293],[-91.12217,43.197255],[-91.1462,43.152405],[-91.1562,43.142945],[-91.175253,43.134665],[-91.179457,43.067427],[-91.156562,42.978226],[-91.14543,42.958211],[-91.14988,42.941955],[-91.1438,42.922877],[-91.146177,42.90985],[-91.100565,42.883078],[-91.097656,42.859871],[-91.091837,42.851225],[-91.09406,42.830813],[-91.078665,42.827678],[-91.069549,42.769628],[-91.060261,42.761847],[-91.065783,42.753387],[-91.056297,42.747341],[-91.051275,42.737001],[-91.035418,42.73734],[-91.026786,42.724228],[-91.000128,42.716189],[-90.977735,42.696816],[-90.949213,42.685573],[-90.923634,42.6855],[-90.88743,42.67247],[-90.731132,42.643437],[-90.706303,42.634169],[-90.692031,42.610366],[-90.686975,42.591774],[-90.661527,42.567999],[-90.654127,42.5499],[-90.643927,42.540401],[-90.636927,42.513202],[-90.655927,42.491703],[-90.654027,42.478503],[-90.624328,42.458904],[-90.567968,42.440389],[-90.560439,42.432897],[-90.555018,42.416138],[-90.477279,42.383794],[-90.462619,42.367253],[-90.443874,42.355218],[-90.416535,42.325109],[-90.430884,42.27823],[-90.419326,42.254467],[-90.400653,42.239293],[-90.391108,42.225473],[-90.356964,42.205445],[-90.328273,42.201047],[-90.282173,42.178846],[-90.234919,42.165431],[-90.209479,42.15268],[-90.197342,42.128163],[-90.167533,42.122475],[-90.161159,42.106372],[-90.168358,42.075779],[-90.164485,42.042105],[-90.151579,42.030633],[-90.140061,42.003252],[-90.146225,41.981329],[-90.164135,41.956178],[-90.163847,41.944934],[-90.152659,41.933058],[-90.153584,41.906614],[-90.181401,41.844647],[-90.181973,41.80707],[-90.278633,41.767358],[-90.310708,41.742214],[-90.317668,41.72269],[-90.313435,41.698082],[-90.334525,41.679559],[-90.343452,41.646959],[-90.339528,41.598633],[-90.343228,41.587833],[-90.41283,41.565333],[-90.461432,41.523533],[-90.500633,41.518033],[-90.540935,41.526133],[-90.591037,41.512832],[-90.602137,41.506032],[-90.605937,41.494232],[-90.655839,41.462132],[-90.750142,41.449632],[-90.846558,41.455141],[-90.930016,41.421404],[-90.979815,41.434321],[-91.027787,41.423603],[-91.043988,41.415897],[-91.05101,41.387556],[-91.06652,41.365246],[-91.074841,41.305578],[-91.092034,41.286911],[-91.114186,41.250029],[-91.113648,41.241401],[-91.07298,41.207151],[-91.041536,41.166138],[-91.027214,41.163373],[-91.007586,41.166183],[-90.99496,41.160624],[-90.946627,41.096632],[-90.949383,41.072711],[-90.942253,41.034702],[-90.945949,41.006495],[-90.958142,40.979767],[-90.952233,40.954047],[-90.965344,40.921633],[-91.009536,40.900565],[-91.021562,40.884021],[-91.044653,40.868356],[-91.05643,40.848387],[-91.092993,40.821079],[-91.097649,40.805575],[-91.091703,40.779708],[-91.110424,40.745528],[-91.115735,40.725168],[-91.11194,40.697018],[-91.123928,40.669152],[-91.185428,40.638071],[-91.253074,40.637962],[-91.306524,40.626231],[-91.339719,40.613488],[-91.359873,40.601805],[-91.379752,40.57445],[-91.401482,40.559458],[-91.406373,40.551831],[-91.404125,40.539127],[-91.384531,40.530948],[-91.369059,40.512532],[-91.364211,40.500043],[-91.364915,40.484168],[-91.381769,40.442555],[-91.372554,40.4012],[-91.381958,40.387632],[-91.419422,40.378264],[-91.441243,40.386255],[-91.452458,40.375501],[-91.463895,40.375659],[-91.465116,40.385257],[-91.484507,40.3839],[-91.490977,40.393484],[-91.487829,40.403866],[-91.498093,40.401926],[-91.522333,40.409648],[-91.527057,40.416689],[-91.519012,40.431298],[-91.529132,40.434272],[-91.533548,40.440804],[-91.523271,40.450061],[-91.526155,40.458625],[-91.552691,40.458769],[-91.574746,40.465664],[-91.590817,40.492292],[-91.621353,40.510072],[-91.618028,40.53403],[-91.6219,40.542292],[-91.6887,40.55739],[-91.691557,40.564867],[-91.686357,40.580875],[-91.716769,40.59853],[-91.729115,40.61364],[-92.686693,40.589809],[-94.294813,40.571341],[-94.632032,40.571186],[-95.765645,40.585208],[-95.753148,40.59284],[-95.748626,40.603355],[-95.768926,40.621264],[-95.776251,40.647463],[-95.795489,40.662384],[-95.822913,40.66724],[-95.842801,40.677496],[-95.852615,40.702262],[-95.883178,40.717579],[-95.888907,40.731855],[-95.879027,40.753081],[-95.84662,40.768619],[-95.835232,40.779151],[-95.834523,40.787778],[-95.845342,40.811324],[-95.837186,40.835347],[-95.847084,40.854174],[-95.847785,40.864328],[-95.838735,40.872191],[-95.815933,40.879846],[-95.809474,40.891228],[-95.813458,40.901693],[-95.836438,40.921642],[-95.839743,40.93278],[-95.829074,40.975688],[-95.838908,40.986484],[-95.867286,41.001599],[-95.869486,41.009399],[-95.859918,41.025403],[-95.859654,41.035695],[-95.882415,41.060411],[-95.862587,41.088399],[-95.865888,41.117898],[-95.88208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cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171363,"text":"70171363 - 2012 - Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","interactions":[],"lastModifiedDate":"2016-05-27T13:57:45","indexId":"70171363","displayToPublicDate":"2016-01-11T09:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","docAbstract":"<p>Invasive smallmouth bass <i>Micropterus dolomieu</i> have been introduced to some of the last remaining watersheds that contain wild anadromous Atlantic salmon <i>Salmo salar</i>, yet little is known about the interactions between these species. We used an artificial stream equipped with passive integrated transponder tag antenna arrays to monitor habitat use and movements of age-0 Atlantic salmon and age-0 smallmouth bass in sympatry and allopatry. We used additive and substitutive designs to test for changes in habitat use, diel movements, and diel activity patterns of prior-resident Atlantic salmon or smallmouth bass resulting from the addition of conspecifics or heterospecifics. Atlantic salmon prior residents did not change their habitat use in the presence of conspecific or heterospecific invaders. However, Atlantic salmon invaders did lessen riffle habitat use by smallmouth bass prior residents during daytime. Atlantic salmon and smallmouth bass displayed different diel activity patterns of movement (Atlantic salmon were more nocturnal; smallmouth bass were more diurnal), which were affected by heterospecific introductions. Because the two species tended to favor different habitat types and displayed different diel activity patterns, we suggest that under the conditions tested, the level of interspecific competition for habitat was low. Age-0 Atlantic salmon and smallmouth bass may be able to avoid intense interspecific competition through spatial and temporal habitat partitioning. These data do not, however, predict the potential for competition under different seasonal or ontogenetic circumstances.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.655116","usgsCitation":"Zydlewski, J.D., Coghlan, S.M., Trial, J.G., and Wathen, G., 2012, Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.: Transactions of the American Fisheries Society, v. 141, no. 1, p. 174-184, https://doi.org/10.1080/00028487.2012.655116.","productDescription":"10 p.","startPage":"174","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","county":"Penobscot County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc59","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":630737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wathen, Gus","contributorId":169693,"corporation":false,"usgs":false,"family":"Wathen","given":"Gus","email":"","affiliations":[],"preferred":false,"id":630738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168481,"text":"70168481 - 2012 - A comparison of approaches for estimating relative impacts of nonnative fishes","interactions":[],"lastModifiedDate":"2016-02-17T10:50:33","indexId":"70168481","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of approaches for estimating relative impacts of nonnative fishes","docAbstract":"<p><span>Lack of standard methods for quantifying impact has hindered risk assessments of high-impact invaders. To understand methodological strengths and weaknesses, we compared five approaches (in parentheses) for quantifying impact of nonnative fishes: reviewing documented impacts in a large-scale database (review); surveying fish biologists regarding three categories of impact (socioeconomic, ecological, abundance); and estimating frequency of occurrence from existing collection records (collection). In addition, we compared game and nongame biologists&rsquo; ratings of game and nongame species. Although mean species ratings were generally correlated among approaches, we documented important discrepancies. The review approach required little effort but often inaccurately estimated impact in our study region (Mid-Atlantic United States). Game fishes received lower ratings from the socioeconomic approach, which yielded the greatest consistency among respondents. The ecological approach exhibited lower respondent bias but was sensitive to pre-existing perceptions of high-impact invaders. The abundance approach provided the least-biased assessment of region-specific impact but did not account for differences in per-capita effects among species. The collection approach required the most effort and did not provide reliable estimates of impact. Multiple approaches to assessing a species&rsquo; impact are instructive, but impact ratings must be interpreted in the context of methodological strengths and weaknesses and key management issues. A combination of our ecological and abundance approaches may be most appropriate for assessing ecological impact, whereas our socioeconomic approach is more useful for understanding social dimensions. These approaches are readily transferrable to other regions and taxa; if refined, they can help standardize the assessment of impacts of nonnative species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-011-9767-4","usgsCitation":"Lapointe, N., Pendleton, R.M., and Angermeier, P.L., 2012, A comparison of approaches for estimating relative impacts of nonnative fishes: Environmental Management, v. 49, no. 1, p. 82-95, https://doi.org/10.1007/s00267-011-9767-4.","productDescription":"14 p.","startPage":"82","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032103","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-29","publicationStatus":"PW","scienceBaseUri":"56c5a7bce4b0946c65225007","contributors":{"authors":[{"text":"Lapointe, N.W.R.","contributorId":76558,"corporation":false,"usgs":true,"family":"Lapointe","given":"N.W.R.","email":"","affiliations":[],"preferred":false,"id":620724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, R. M.","contributorId":167004,"corporation":false,"usgs":false,"family":"Pendleton","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042480,"text":"70042480 - 2012 - Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","interactions":[],"lastModifiedDate":"2017-11-22T16:06:12","indexId":"70042480","displayToPublicDate":"2015-09-01T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":56,"text":"Natural Resource Technical Report NPS/NCR/NCRO/NRTR","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2012/531","title":"Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010","docAbstract":"<p>Fiscal year 2010 was the second full year of elk monitoring protocol implementation at Lewis and Clark National Historical Park (LEWI), part of the North Coast and Cascades Network (NCCN) Inventory and Monitoring program. Elk monitoring at Lewis and Clark NHP includes two components. Fecal pellet surveys at a systematic sample of points in the Fort Clatsop unit are intended to give quantitative estimates of relative use by elk in that unit. Driving surveys on specified routes in and near the Fort Clatsop unit are intended to provide an index of elk viewing opportunities on those roads.</p>\n<p>Fecal pellet surveys include a fall clearing session and a late winter sampling session. Fall clearing from November 9 to November 17, 2009 included visits to 67 survey points. Late winter sampling from March 1 to March 8 2010 included repeat visits to 65 of those same points, but not to two others that had hazardous access or were under water. We detected elk fecal pellets in 30 points in the fall and at 30 points in the late winter.</p>\n<p>Three to four road surveys per month were conducted in each of the 12 months of fiscal year 2010 (i.e., October-December 2009 and January-September 2010). Data from those surveys will be entered, validated, certified, and analyzed following the acceptance of the peer-reviewed protocol and associated database.</p>\n<p>Data from FY09, FY10, and FY11 will be useful in the formal analyses of trend. Those three years of data will contribute to the preparation of a four-year analysis and report after only one more year. Quantitative estimates of relative use by elk throughout the Fort Clatsop unit will be provided in the four-year report in 2012. Those estimates will account for detection bias, which comes from an incomplete count of elk pellets that were present in the subplots at the time of survey.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cole, C., Griffin, P., and Jenkins, K., 2012, Lewis and Clark National Historical Park Elk Monitoring Program Annual Report 2010: Natural Resource Technical Report NPS/NCR/NCRO/NRTR 2012/531, ix, 15 p.","productDescription":"ix, 15 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030480","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307941,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irmafiles.nps.gov/reference/holding/443983","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"UNITED STATES","state":"Oregon","otherGeospatial":"Lewis and Clark National Historic Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92123222351074,\n              46.117811095069584\n            ],\n            [\n              -123.92123222351074,\n              46.138273893429385\n            ],\n            [\n              -123.87840270996094,\n              46.138273893429385\n            ],\n            [\n              -123.87840270996094,\n              46.117811095069584\n            ],\n            [\n              -123.92123222351074,\n              46.117811095069584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba841e4b058f706e53a91","contributors":{"authors":[{"text":"Cole, Carla","contributorId":44809,"corporation":false,"usgs":true,"family":"Cole","given":"Carla","email":"","affiliations":[],"preferred":false,"id":571557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Paul pgriffin@usgs.gov","contributorId":140575,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":571558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt","contributorId":30681,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":571559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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