We used a simple yet powerful method for judging public support for management actions from randomized surveys. We asked respondents to rank choices (representing management regulations under consideration) according to their preference, and we then used discrete choice models to estimate probability of choosing among options (conditional on the set of options presented to respondents). Because choices may share similar unmodeled characteristics, the multinomial logit model, commonly applied to discrete choice data, may not be appropriate. We introduced the nested logit model, which offers a simple approach for incorporating correlation among choices. This forced choice survey approach provides a useful method of gathering public input; it is relatively easy to apply in practice, and the data are likely to be more informative than asking constituents to rate attractiveness of each option separately.
","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2009-030","usgsCitation":"Fieberg, J., Cornicelli, L., Fulton, D.C., and Grund, M.D., 2010, Design and analysis of simple choice surveys for natural resource management: Journal of Wildlife Management, v. 74, no. 7, p. 871-879, https://doi.org/10.2193/2009-030.","productDescription":"9 p.","startPage":"871","endPage":"879","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011299","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da44","contributors":{"authors":[{"text":"Fieberg, John","contributorId":44804,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":637548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":168400,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":637549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grund, Marrett D.","contributorId":171467,"corporation":false,"usgs":false,"family":"Grund","given":"Marrett","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637550,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178483,"text":"70178483 - 2010 - Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR","interactions":[],"lastModifiedDate":"2017-01-20T10:59:44","indexId":"70178483","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR","docAbstract":"The goal of the technology application described herein is to determine whether breakwater monitoring data collected using Tripod (or Terrestrial) Light Detection and Ranging (T-LiDAR) can give insight into processes such as how Core-Loc™ concrete armour units nest following construction, and in turn how settlement affects armour layer stability, concrete cap performance, and armour unit breakage. A further objective is that this information can then be incorporated into the design of future projects using concrete armour units. The results of this application of T-LiDAR, including the challenges encountered and the conclusions drawn regarding initial concrete armour unit movement will be presented in this paper.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coasts, marine structures and breakwaters: Adapting to change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Thomas Telford Limitied","doi":"10.1680/cmsb.41301.0039","usgsCitation":"Podoski, J.H., Bawden, G.W., Bond, S., Smith, T.D., and Foster, J., 2010, Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR, chap. of Coasts, marine structures and breakwaters: Adapting to change, https://doi.org/10.1680/cmsb.41301.0039.","ipdsId":"IP-012418","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2010-07-02","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d002316377a2","contributors":{"authors":[{"text":"Podoski, Jessica H.","contributorId":178488,"corporation":false,"usgs":false,"family":"Podoski","given":"Jessica","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":659195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thomas D.","contributorId":178489,"corporation":false,"usgs":false,"family":"Smith","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":659198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, James","contributorId":38598,"corporation":false,"usgs":true,"family":"Foster","given":"James","affiliations":[],"preferred":false,"id":659199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035208,"text":"70035208 - 2010 - Earth system sensitivity inferred from Pliocene modelling and data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035208","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Earth system sensitivity inferred from Pliocene modelling and data","docAbstract":"Quantifying the equilibrium response of global temperatures to an increase in atmospheric carbon dioxide concentrations is one of the cornerstones of climate research. Components of the Earths climate system that vary over long timescales, such as ice sheets and vegetation, could have an important effect on this temperature sensitivity, but have often been neglected. Here we use a coupled atmosphere-ocean general circulation model to simulate the climate of the mid-Pliocene warm period (about three million years ago), and analyse the forcings and feedbacks that contributed to the relatively warm temperatures. Furthermore, we compare our simulation with proxy records of mid-Pliocene sea surface temperature. Taking these lines of evidence together, we estimate that the response of the Earth system to elevated atmospheric carbon dioxide concentrations is 30-50% greater than the response based on those fast-adjusting components of the climate system that are used traditionally to estimate climate sensitivity. We conclude that targets for the long-term stabilization of atmospheric greenhouse-gas concentrations aimed at preventing a dangerous human interference with the climate system should take into account this higher sensitivity of the Earth system. ?? 2010 Macmillan Publishers Limited. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/ngeo706","issn":"17520894","usgsCitation":"Lunt, D., Haywood, A., Schmidt, G., Salzmann, U., Valdes, P., and Dowsett, H., 2010, Earth system sensitivity inferred from Pliocene modelling and data: Nature Geoscience, v. 3, no. 1, p. 60-64, https://doi.org/10.1038/ngeo706.","startPage":"60","endPage":"64","numberOfPages":"5","costCenters":[],"links":[{"id":215303,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo706"},{"id":243098,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-06","publicationStatus":"PW","scienceBaseUri":"505a049ce4b0c8380cd50aa7","contributors":{"authors":[{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":449734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":449733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, G.A.","contributorId":31595,"corporation":false,"usgs":true,"family":"Schmidt","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":449729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salzmann, U.","contributorId":95711,"corporation":false,"usgs":true,"family":"Salzmann","given":"U.","email":"","affiliations":[],"preferred":false,"id":449732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdes, P.J.","contributorId":77331,"corporation":false,"usgs":true,"family":"Valdes","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":449730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, H.J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":87924,"corporation":false,"usgs":true,"family":"Dowsett","given":"H.J.","affiliations":[],"preferred":false,"id":449731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034193,"text":"70034193 - 2010 - Challenges in merging fisheries research and management: The Upper Mississippi River experience","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034193","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Challenges in merging fisheries research and management: The Upper Mississippi River experience","docAbstract":"The Upper Mississippi River System (UMRS) is a geographically diverse basin extending 10?? north temperate latitude that has produced fishes for humans for millennia. During European colonization through the present, the UMRS has been modified to meet multiple demands such as navigation and flood control. Invasive species, notably the common carp, have dominated fisheries in both positive and negative ways. Through time, environmental decline plus reduced economic incentives have degraded opportunities for fishery production. A renewed focus on fisheries in the UMRS may be dawning. Commercial harvest and corresponding economic value of native and non-native species along the river corridor fluctuates but appears to be increasing. Recreational use will depend on access and societal perceptions of the river. Interactions (e. g., disease and invasive species transmission) among fish assemblages within the UMRS, the Great Lakes, and other lakes and rivers are rising. Data collection for fisheries has varied in intensity and contiguousness through time, although resources for research and management may be growing. As fisheries production likely relies on the interconnectivity of fish populations and associated ecosystem processes among river reaches (e. g., between the pooled and unpooled UMRS), species-level processes such as genetics, life-history interactions, and migratory behavior need to be placed in the context of broad ecosystem- and landscape-scale restoration. Formal communication among a diverse group of researchers, managers, and public stakeholders crossing geographic and disciplinary boundaries is necessary through peer-reviewed publications, moderated interactions, and the embrace of emerging information technologies. ?? Springer Science+Business Media B.V. 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-009-0061-x","issn":"00188158","usgsCitation":"Garvey, J., Ickes, B., and Zigler, S., 2010, Challenges in merging fisheries research and management: The Upper Mississippi River experience: Hydrobiologia, v. 640, no. 1, p. 125-144, https://doi.org/10.1007/s10750-009-0061-x.","startPage":"125","endPage":"144","numberOfPages":"20","costCenters":[],"links":[{"id":216787,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-009-0061-x"},{"id":244679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"640","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-07","publicationStatus":"PW","scienceBaseUri":"5059f3fbe4b0c8380cd4ba7b","contributors":{"authors":[{"text":"Garvey, J.","contributorId":29243,"corporation":false,"usgs":true,"family":"Garvey","given":"J.","affiliations":[],"preferred":false,"id":444546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, B.","contributorId":87371,"corporation":false,"usgs":true,"family":"Ickes","given":"B.","affiliations":[],"preferred":false,"id":444548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zigler, S.","contributorId":78462,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","affiliations":[],"preferred":false,"id":444547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037198,"text":"70037198 - 2010 - Reclaimed mineland curve number response to temporal distribution of rainfall","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037198","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reclaimed mineland curve number response to temporal distribution of rainfall","docAbstract":"The curve number (CN) method is a common technique to estimate runoff volume, and it is widely used in coal mining operations such as those in the Appalachian region of Kentucky. However, very little CN data are available for watersheds disturbed by surface mining and then reclaimed using traditional techniques. Furthermore, as the CN method does not readily account for variations in infiltration rates due to varying rainfall distributions, the selection of a single CN value to encompass all temporal rainfall distributions could lead engineers to substantially under- or over-size water detention structures used in mining operations or other land uses such as development. Using rainfall and runoff data from a surface coal mine located in the Cumberland Plateau of eastern Kentucky, CNs were computed for conventionally reclaimed lands. The effects of temporal rainfall distributions on CNs was also examined by classifying storms as intense, steady, multi-interval intense, or multi-interval steady. Results indicate that CNs for such reclaimed lands ranged from 62 to 94 with a mean value of 85. Temporal rainfall distributions were also shown to significantly affect CN values with intense storms having significantly higher CNs than multi-interval storms. These results indicate that a period of recovery is present between rainfall bursts of a multi-interval storm that allows depressional storage and infiltration rates to rebound. ?? 2010 American Water Resources Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2010.00444.x","issn":"1093474X","usgsCitation":"Warner, R., Agouridis, C., Vingralek, P., and Fogle, A., 2010, Reclaimed mineland curve number response to temporal distribution of rainfall: Journal of the American Water Resources Association, v. 46, no. 4, p. 724-732, https://doi.org/10.1111/j.1752-1688.2010.00444.x.","startPage":"724","endPage":"732","numberOfPages":"9","costCenters":[],"links":[{"id":245345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217399,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00444.x"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-26","publicationStatus":"PW","scienceBaseUri":"505a9670e4b0c8380cd81fbe","contributors":{"authors":[{"text":"Warner, R.C.","contributorId":95304,"corporation":false,"usgs":true,"family":"Warner","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":459859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agouridis, C.T.","contributorId":79338,"corporation":false,"usgs":true,"family":"Agouridis","given":"C.T.","affiliations":[],"preferred":false,"id":459858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vingralek, P.T.","contributorId":101922,"corporation":false,"usgs":true,"family":"Vingralek","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":459861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogle, A.W.","contributorId":96051,"corporation":false,"usgs":true,"family":"Fogle","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":459860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037703,"text":"70037703 - 2010 - Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","interactions":[],"lastModifiedDate":"2013-05-09T10:22:47","indexId":"70037703","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","docAbstract":"Adaptive sampling designs are recommended where, as is typical with freshwater mussels, the outcome of interest is rare and clustered. However, the performance of adaptive designs has not been investigated when outcomes are not only rare and clustered but also imperfectly detected. We address this combination of challenges using data simulated to mimic properties of freshwater mussels from a reach of the upper Mississippi River. Simulations were conducted under a range of sample sizes and detection probabilities. Under perfect detection, efficiency of the adaptive sampling design increased relative to the conventional design as sample size increased and as density decreased. Also, the probability of sampling occupied habitat was four times higher for adaptive than conventional sampling of the lowest density population examined. However, imperfect detection resulted in substantial biases in sample means and variances under both adaptive sampling and conventional designs. The efficiency of adaptive sampling declined with decreasing detectability. Also, the probability of encountering an occupied unit during adaptive sampling, relative to conventional sampling declined with decreasing detectability. Thus, the potential gains in the application of adaptive sampling to rare and clustered populations relative to conventional sampling are reduced when detection is imperfect. The results highlight the need to increase or estimate detection to improve performance of conventional and adaptive sampling designs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-009-1251-8","issn":"01676369","usgsCitation":"Smith, D., Gray, B., Newton, T., and Nichols, D., 2010, Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River: Environmental Monitoring and Assessment, v. 170, no. 1-4, p. 499-507, https://doi.org/10.1007/s10661-009-1251-8.","productDescription":"9 p.","startPage":"499","endPage":"507","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":218082,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1251-8"},{"id":246063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mississippi River","volume":"170","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-11-28","publicationStatus":"PW","scienceBaseUri":"505a05ece4b0c8380cd5101a","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":462390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":462393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, D.","contributorId":22718,"corporation":false,"usgs":true,"family":"Nichols","given":"D.","affiliations":[],"preferred":false,"id":462391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037514,"text":"70037514 - 2010 - Experimental investigation of observation error in anuran call surveys","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70037514","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Experimental investigation of observation error in anuran call surveys","docAbstract":"Occupancy models that account for imperfect detection are often used to monitor anuran and songbird species occurrence. However, presenceabsence data arising from auditory detections may be more prone to observation error (e.g., false-positive detections) than are sampling approaches utilizing physical captures or sightings of individuals. We conducted realistic, replicated field experiments using a remote broadcasting system to simulate simple anuran call surveys and to investigate potential factors affecting observation error in these studies. Distance, time, ambient noise, and observer abilities were the most important factors explaining false-negative detections. Distance and observer ability were the best overall predictors of false-positive errors, but ambient noise and competing species also affected error rates for some species. False-positive errors made up 5 of all positive detections, with individual observers exhibiting false-positive rates between 0.5 and 14. Previous research suggests false-positive errors of these magnitudes would induce substantial positive biases in standard estimators of species occurrence, and we recommend practices to mitigate for false positives when developing occupancy monitoring protocols that rely on auditory detections. These recommendations include additional observer training, limiting the number of target species, and establishing distance and ambient noise thresholds during surveys. ?? 2010 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2009-321","issn":"0022541X","usgsCitation":"McClintock, B., Bailey, L., Pollock, K.H., and Simons, T., 2010, Experimental investigation of observation error in anuran call surveys: Journal of Wildlife Management, v. 74, no. 8, p. 1882-1893, https://doi.org/10.2193/2009-321.","startPage":"1882","endPage":"1893","numberOfPages":"12","costCenters":[],"links":[{"id":218110,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2009-321"},{"id":246092,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505a0dd5e4b0c8380cd531fd","contributors":{"authors":[{"text":"McClintock, B.T.","contributorId":29108,"corporation":false,"usgs":true,"family":"McClintock","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":461401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":461403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":461404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simons, T.R.","contributorId":56334,"corporation":false,"usgs":true,"family":"Simons","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":461402,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037383,"text":"70037383 - 2010 - Metrics of ecosystem status for large aquatic systems: a global comparison","interactions":[],"lastModifiedDate":"2012-12-31T13:55:19","indexId":"70037383","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Metrics of ecosystem status for large aquatic systems: a global comparison","docAbstract":"We identified an objective set of 25 commonly available ecosystem metrics applicable across the world's large continental freshwater and brackish aquatic ecosystem. These metrics measure trophic structure, exploited species, habitat alteration, and catchment changes. We used long-term trends in these metrics as indicators of perturbations that represent an ecosystem not in homeostasis. We defined a healthy ecosystem as being in a homeostatic state; therefore, ecosystems with many changing trends were defined as more disturbed than ecosystems with fewer changing trends. Healthy ecosystems (lakes Baikal, Superior, and Tanganyika) were large, deep lakes in relatively unpopulated areas with no signs of eutrophication and no changes to their trophic structure. Disturbed ecosystems (lakes Michigan, Ontario, and Victoria) had shallow to moderately deep basins with high watershed population pressure and intense agricultural and residential land use. Transitioning systems had widely varying trends and faced increasing anthropogenic pressures. Standardized methodologies for capturing data could improve our understanding of the current state of these ecosystems and allow for comparisons of the response of large aquatic ecosystems to local and global stressors thereby providing more reliable insights into future changes in ecosystem health.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2009.11.003","issn":"03801330","usgsCitation":"Dobiesz, N., Hecky, R., Johnson, T., Sarvala, J., Dettmers, J., Lehtiniemi, M., Rudstam, L.G., Madenjian, C., and Witte, F., 2010, Metrics of ecosystem status for large aquatic systems: a global comparison: Journal of Great Lakes Research, v. 36, no. 1, p. 123-138, https://doi.org/10.1016/j.jglr.2009.11.003.","productDescription":"16 p.","startPage":"123","endPage":"138","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217349,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.11.003"},{"id":245293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5623e4b0c8380cd6d38b","contributors":{"authors":[{"text":"Dobiesz, N.E.","contributorId":95723,"corporation":false,"usgs":true,"family":"Dobiesz","given":"N.E.","affiliations":[],"preferred":false,"id":460801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecky, R.E.","contributorId":94528,"corporation":false,"usgs":true,"family":"Hecky","given":"R.E.","affiliations":[],"preferred":false,"id":460800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, T.B.","contributorId":21490,"corporation":false,"usgs":true,"family":"Johnson","given":"T.B.","email":"","affiliations":[],"preferred":false,"id":460794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sarvala, J.","contributorId":37179,"corporation":false,"usgs":true,"family":"Sarvala","given":"J.","affiliations":[],"preferred":false,"id":460797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettmers, J.M.","contributorId":39724,"corporation":false,"usgs":true,"family":"Dettmers","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":460798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehtiniemi, M.","contributorId":33148,"corporation":false,"usgs":true,"family":"Lehtiniemi","given":"M.","affiliations":[],"preferred":false,"id":460796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudstam, L. G.","contributorId":24720,"corporation":false,"usgs":true,"family":"Rudstam","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":460795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":460799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witte, F.","contributorId":102717,"corporation":false,"usgs":true,"family":"Witte","given":"F.","email":"","affiliations":[],"preferred":false,"id":460802,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70037381,"text":"70037381 - 2010 - Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt","interactions":[],"lastModifiedDate":"2014-07-14T13:40:14","indexId":"70037381","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt","docAbstract":"Each year thousands of Pacific Black Brant (Branta bernicla nigricans) undergo flightless wing molt in the Teshekpuk Lake Special Area (TLSA), Alaska, in two distinct habitats: inland, freshwater lakes and coastal, brackish wetlands. Brant lose body mass during wing molt and likely must add reserves upon regaining flight to help fuel their 2,500 km migration to autumn staging areas. We characterized movements and habitat use by Brant during post-molt (the period immediately following the recovery of flight) by (1) marking individual Brant with GPS (global positioning system) transmitters, and (2) conducting a series of replicate aerial surveys. Individuals molting in inland habitats promptly abandoned their molt wetland during the post-molt and moved into coastal habitats. Consequently, inland habitats were nearly deserted by early August when Brant had regained flight, a decrease of >5,000 individuals from the flightless period of early July. Conversely, coastal molting Brant largely remained in coastal habitats during the post-molt and many coastal wetlands were occupied by large flocks (>1,000 birds). Our results indicate that inland, freshwater wetlands were less suitable post-molt habitats for Brant, while coastal wetlands were preferred as they transitioned from flightless molt. The immediacy with which Brant vacated inland habitats upon regaining flight suggests that food may be limiting during molt and they are not selecting inland molt sites strictly for food resources, but rather a balance of factors including predator avoidance and acquisition of protein for feather growth. Our data clearly demonstrate that patterns of habitat use by Brant in the TLSA change over the course of the molt season, an important consideration for management of future resource development activities in this area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wilson Ornithological Society","publisherLocation":"Lawrence, KS","doi":"10.1676/09-114.1","issn":"15594491","usgsCitation":"Lewis, T., Flint, P.L., Schmutz, J.A., and Derksen, D.V., 2010, Temporal and spatial shifts in habitat use by Black Brant immediately following flightless molt: Wilson Journal of Ornithology, v. 122, no. 3, p. 484-493, https://doi.org/10.1676/09-114.1.","productDescription":"10 p.","startPage":"484","endPage":"493","numberOfPages":"10","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":217323,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/09-114.1"},{"id":245262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teshekpuk Lake Special Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153.6368,70.4992 ], [ -153.6368,70.9987 ], [ -151.8416,70.9987 ], [ -151.8416,70.4992 ], [ -153.6368,70.4992 ] ] ] } } ] }","volume":"122","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba4f2e4b08c986b3206bd","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":460787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":460786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":460784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":460785,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037694,"text":"70037694 - 2010 - Locating non-volcanic tremor along the San Andreas Fault using a multiple array source imaging technique","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037694","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Locating non-volcanic tremor along the San Andreas Fault using a multiple array source imaging technique","docAbstract":"Non-volcanic tremor (NVT) has been observed at several subduction zones and at the San Andreas Fault (SAF). Tremor locations are commonly derived by cross-correlating envelope-transformed seismic traces in combination with source-scanning techniques. Recently, they have also been located by using relative relocations with master events, that is low-frequency earthquakes that are part of the tremor; locations are derived by conventional traveltime-based methods. Here we present a method to locate the sources of NVT using an imaging approach for multiple array data. The performance of the method is checked with synthetic tests and the relocation of earthquakes. We also applied the method to tremor occurring near Cholame, California. A set of small-aperture arrays (i.e. an array consisting of arrays) installed around Cholame provided the data set for this study. We observed several tremor episodes and located tremor sources in the vicinity of SAF. During individual tremor episodes, we observed a systematic change of source location, indicating rapid migration of the tremor source along SAF. ?? 2010 The Authors Geophysical Journal International ?? 2010 RAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2010.04805.x","issn":"0956540X","usgsCitation":"Ryberg, T., Haberland, C., Fuis, G., Ellsworth, W., and Shelly, D., 2010, Locating non-volcanic tremor along the San Andreas Fault using a multiple array source imaging technique: Geophysical Journal International, v. 183, no. 3, p. 1485-1500, https://doi.org/10.1111/j.1365-246X.2010.04805.x.","startPage":"1485","endPage":"1500","numberOfPages":"16","costCenters":[],"links":[{"id":475851,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2010.04805.x","text":"Publisher Index Page"},{"id":218012,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2010.04805.x"},{"id":245988,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-14","publicationStatus":"PW","scienceBaseUri":"505a48ffe4b0c8380cd682b3","contributors":{"authors":[{"text":"Ryberg, T.","contributorId":91643,"corporation":false,"usgs":true,"family":"Ryberg","given":"T.","email":"","affiliations":[],"preferred":false,"id":462335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haberland, C.H.","contributorId":53636,"corporation":false,"usgs":true,"family":"Haberland","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":462333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuis, G. S.","contributorId":83131,"corporation":false,"usgs":true,"family":"Fuis","given":"G. S.","affiliations":[],"preferred":false,"id":462334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, W.L.","contributorId":48541,"corporation":false,"usgs":true,"family":"Ellsworth","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":462331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, D.R.","contributorId":53179,"corporation":false,"usgs":true,"family":"Shelly","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":462332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037200,"text":"70037200 - 2010 - Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037200","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission","docAbstract":"The Space-Shuttle Radar Topography Mission provided geologists with a detailed digital elevation model of most of Earth's land surface. This new database is used here for structural analysis of grooved surfaces interpreted to be the exhumed footwalls of three active or recently active extensional detachment faults. Exhumed fault footwalls, each with an areal extent of one hundred to several hundred square kilometers, make up much of Dayman dome in eastern Papua New Guinea, the western Gurla Mandhata massif in the central Himalaya, and the northern Tokorondo Mountains in central Sulawesi, Indonesia. Footwall curvature in profile varies from planar to slightly convex upward at Gurla Mandhata to strongly convex upward at northwestern Dayman dome. Fault curvature decreases away from the trace of the bounding detachment fault in western Dayman dome and in the Tokorondo massif, suggesting footwall flattening (reduction in curvature) following exhumation. Grooves of highly variable wavelength and amplitude reveal extension direction, although structural processes of groove genesis may be diverse.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Today","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GSATG59A.1","issn":"10525173","usgsCitation":"Spencer, J., 2010, Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission: GSA Today, v. 20, no. 8, p. 4-10, https://doi.org/10.1130/GSATG59A.1.","startPage":"4","endPage":"10","numberOfPages":"7","costCenters":[],"links":[{"id":245375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217428,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GSATG59A.1"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9bc2e4b08c986b31d089","contributors":{"authors":[{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":459866,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037438,"text":"70037438 - 2010 - Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037438","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana","docAbstract":"Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) was used to determine rare earth element (REE) content of 76 fossil bones collected from the Upper Cretaceous (Campanian) Two Medicine (TMF) and Judith River (JRF) Formations of Montana. REE content is distinctive at the formation scale, with TMF samples exhibiting generally higher overall REE content and greater variability in REE enrichment than JRF samples. Moreover, JRF bones exhibit relative enrichment in heavy REE, whereas TMF bones span heavy and light enrichment fields in roughly equal proportions. TMF bones are also characterized by more negative Ce anomalies and greater U enrichment than JRF bones, which is consistent with more oxidizing diagenetic conditions in the TMF. Bonebeds in both formations show general consistency in REE content, with no indication of spatial or temporal mixing within sites. Previous studies, however, suggest that the bonebeds in question are attritional assemblages that accumulated over considerable time spans. The absence of geochemical evidence for mixing is consistent with diagenesis transpiring in settings that remained chemically and hydrologically stable during recrystallization. Lithology-related patterns in REE content were also compared, and TMF bones recovered from fluvial sandstones show relative enrichment in heavy REE when compared with bones recovered from fine-grained floodplain deposits. In contrast, JRF bones, regardless of lithologic context (sandstone versus mudstone), exhibit similar patterns of REE uptake. This result is consistent with previous reconstructions that suggest that channel-hosted microfossil bonebeds of the JRF developed via the reworking of preexisting concentrations embedded in the interfluve. Geochemical data further indicate that reworked elements were potentially delivered to channels in a recrystallized condition, which is consistent with rapid adsorption of REE postmortem. Copyright ?? 2010, SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaios","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/palo.2009.p09-084r","issn":"08831351","usgsCitation":"Rogers, R., Fricke, H., Addona, V., Canavan, R., Dwyer, C., Harwood, C., Koenig, A., Murray, R., Thole, J., and Williams, J., 2010, Using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to explore geochemical taphonomy of vertebrate fossils in the upper cretaceous two medicine and Judith River formations of Montana: Palaios, v. 25, no. 3, p. 183-195, https://doi.org/10.2110/palo.2009.p09-084r.","startPage":"183","endPage":"195","numberOfPages":"13","costCenters":[],"links":[{"id":217327,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/palo.2009.p09-084r"},{"id":245267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-03-10","publicationStatus":"PW","scienceBaseUri":"505bc066e4b08c986b32a0d8","contributors":{"authors":[{"text":"Rogers, R.R.","contributorId":14228,"corporation":false,"usgs":true,"family":"Rogers","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":461065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fricke, H.C.","contributorId":78177,"corporation":false,"usgs":true,"family":"Fricke","given":"H.C.","email":"","affiliations":[],"preferred":false,"id":461071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addona, V.","contributorId":79732,"corporation":false,"usgs":true,"family":"Addona","given":"V.","email":"","affiliations":[],"preferred":false,"id":461072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Canavan, R.R.","contributorId":18207,"corporation":false,"usgs":true,"family":"Canavan","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":461066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dwyer, C.N.","contributorId":52814,"corporation":false,"usgs":true,"family":"Dwyer","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":461068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harwood, C.L.","contributorId":13838,"corporation":false,"usgs":true,"family":"Harwood","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":461064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koenig, A.E. 0000-0002-5230-0924","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":23679,"corporation":false,"usgs":true,"family":"Koenig","given":"A.E.","affiliations":[],"preferred":false,"id":461067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murray, R.","contributorId":80440,"corporation":false,"usgs":true,"family":"Murray","given":"R.","affiliations":[],"preferred":false,"id":461073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thole, J.T.","contributorId":56071,"corporation":false,"usgs":true,"family":"Thole","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":461069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, J.","contributorId":76270,"corporation":false,"usgs":true,"family":"Williams","given":"J.","affiliations":[],"preferred":false,"id":461070,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70037441,"text":"70037441 - 2010 - Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037441","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA","docAbstract":"Fire managers and researchers need information on fuel deposition rates to estimate future changes in fuel bed characteristics, determine when forests transition to another fire behavior fuel model, estimate future changes in fuel bed characteristics, and parameterize and validate ecosystem process models. This information is lacking for many ecosystems including the Sierra Nevada in California, USA. We investigated fuel deposition rates and stand characteristics of seven montane and four subalpine conifers in the Sierra Nevada. We collected foliage, miscellaneous bark and crown fragments, cones, and woody fuel classes from four replicate plots each in four stem diameter size classes for each species, for a total of 176 sampling sites. We used these data to develop predictive equations for each fuel class and diameter size class of each species based on stem and crown characteristics. There were consistent species and diameter class differences in the annual amount of foliage and fragments deposited. Foliage deposition rates ranged from just over 50 g m-2 year-1 in small diameter mountain hemlock stands to ???300 g m-2 year-1 for the three largest diameter classes of giant sequoia. The deposition rate for most woody fuel classes increased from the smallest diameter class stands to the largest diameter class stands. Woody fuel deposition rates varied among species as well. The rates for the smallest woody fuels ranged from 0.8 g m-2 year-1 for small diameter stands of Jeffrey pine to 126.9 g m-2 year-1 for very large diameter stands of mountain hemlock. Crown height and live crown ratio were the best predictors of fuel deposition rates for most fuel classes and species. Both characteristics reflect the amount of crown biomass including foliage and woody fuels. Relationships established in this study allow predictions of fuel loads to be made on a stand basis for each of these species under current and possible future conditions. These predictions can be used to estimate fuel treatment longevity, assist in determining fuel model transitions, and predict future changes in fuel bed characteristics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.foreco.2010.02.024","issn":"03781127","usgsCitation":"van Wagtendonk, J., and Moore, P., 2010, Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA: Forest Ecology and Management, v. 259, no. 10, p. 2122-2132, https://doi.org/10.1016/j.foreco.2010.02.024.","startPage":"2122","endPage":"2132","numberOfPages":"11","costCenters":[],"links":[{"id":217328,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.02.024"},{"id":245268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"259","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1409e4b0c8380cd54895","contributors":{"authors":[{"text":"van Wagtendonk, J. W.","contributorId":85111,"corporation":false,"usgs":true,"family":"van Wagtendonk","given":"J. W.","affiliations":[],"preferred":false,"id":461081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, P.E.","contributorId":57395,"corporation":false,"usgs":true,"family":"Moore","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":461080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037531,"text":"70037531 - 2010 - A fresh look at road salt: Aquatic toxicity and water-quality impacts on local, regional, and national scales","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70037531","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A fresh look at road salt: Aquatic toxicity and water-quality impacts on local, regional, and national scales","docAbstract":"A new perspective on the severity of aquatic toxicity impact of road salt was gained by a focused research effort directed at winter runoff periods. Dramatic impacts were observed on local, regional, and national scales. Locally, samples from 7 of 13 Milwaukee, Wisconsin area streams exhibited toxicity in Ceriodaphnia dubia and Pimephales promelas bioassays during road-salt runoff. Another Milwaukee stream was sampled from 1996 to 2008 with 72% of 37 samples exhibiting toxicity in chronic bioassays and 43% in acute bioassays. The maximum chloride concentration was 7730 mg/L. Regionally, in southeast Wisconsin, continuous specific conductance was monitored as a chloride surrogate in 11 watersheds with urban land use from 6.0 to 100%. Elevated specific conductance was observed between November and April at all sites, with continuing effects between May and October at sites with the highest specific conductance. Specific conductance was measured as high as 30 800 ??S/cm (Cl = 11 200 mg/L). Chloride concentrations exceeded U.S. Environmental Protection Agency (USEPA) acute (860 mg/L) and chronic (230 mg/L) water-quality criteria at 55 and 100% of monitored sites, respectively. Nationally, U.S. Geological Survey historical data were examined for 13 northern and 4 southern metropolitan areas. Chloride concentrations exceeded USEPA water-quality criteria at 55% (chronic) and 25% (acute) of the 168 monitoring locations in northern metropolitan areas from November to April. Only 16% (chronic) and 1% (acute) of sites exceeded criteria from May to October. At southern sites, very few samples exceeded chronic water-quality criteria, and no samples exceeded acute criteria. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es101333u","issn":"0013936X","usgsCitation":"Corsi, S., Graczyk, D., Geis, S., Booth, N., and Richards, K., 2010, A fresh look at road salt: Aquatic toxicity and water-quality impacts on local, regional, and national scales: Environmental Science & Technology, v. 44, no. 19, p. 7376-7382, https://doi.org/10.1021/es101333u.","startPage":"7376","endPage":"7382","numberOfPages":"7","costCenters":[],"links":[{"id":475783,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es101333u","text":"Publisher Index Page"},{"id":218004,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es101333u"},{"id":245979,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"19","noUsgsAuthors":false,"publicationDate":"2010-09-01","publicationStatus":"PW","scienceBaseUri":"5059e3e4e4b0c8380cd462a1","contributors":{"authors":[{"text":"Corsi, S.R.","contributorId":76346,"corporation":false,"usgs":true,"family":"Corsi","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":461479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graczyk, D.J.","contributorId":108119,"corporation":false,"usgs":true,"family":"Graczyk","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":461481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geis, S.W.","contributorId":86538,"corporation":false,"usgs":true,"family":"Geis","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":461480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, N.L.","contributorId":60815,"corporation":false,"usgs":true,"family":"Booth","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":461478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, K.D.","contributorId":28635,"corporation":false,"usgs":true,"family":"Richards","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":461477,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037635,"text":"70037635 - 2010 - Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon","interactions":[],"lastModifiedDate":"2018-01-23T11:45:13","indexId":"70037635","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon","docAbstract":"This study was conducted to determine the main sources of dissolved organic carbon (DOC) and disinfection byproduct (DBP) precursors to the McKenzie River, Oregon (USA). Water samples collected from the mainstem, tributaries, and reservoir outflows were analyzed for DOC concentration and DBP formation potentials (trihalomethanes [THMFPs] and haloacetic acids [HAAFPs]). In addition, optical properties (absorbance and fluorescence) of dissolved organic matter (DOM) were measured to provide insight into DOM composition and assess whether optical properties are useful proxies for DOC and DBP precursor concentrations. Optical properties indicative of composition suggest that DOM in the McKenzie River mainstem was primarily allochthonous - derived from soils and plant material in the upstream watershed. Downstream tributaries had higher DOC concentrations than mainstem sites (1.6 ?? 0.4 vs. 0.7 ?? 0.3 mg L-1) but comprised <5% of mainstem flows and had minimal effect on overall DBP precursor loads. Water exiting two large upstream reservoirs also had higher DOC concentrations than the mainstem site upstream of the reservoirs, but optical data did not support in situ algal production as a source of the added DOC during the study. Results suggest that the first major rain event in the fall contributes DOM with high DBP precursor content. Although there was interference in the absorbance spectra in downstream tributary samples, fluorescence data were strongly correlated to DOC concentration (R 2 = 0.98), THMFP (R2 = 0.98), and HAAFP (R2 = 0.96). These results highlight the value of using optical measurements for identifying the concentration and sources of DBP precursors in watersheds, which will help drinking water utilities improve source water monitoring and management programs. Copyright ?? 2010 by the American Society of Agronomy.","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2010.0030","issn":"00472425","usgsCitation":"Kraus, T.E., Anderson, C., Morgenstern, K., Downing, B.D., Pellerin, B.A., and Bergamaschi, B., 2010, Determining sources of dissolved organic carbon and disinfection byproduct precursors to the McKenzie River, Oregon: Journal of Environmental Quality, v. 39, no. 6, p. 2100-2112, https://doi.org/10.2134/jeq2010.0030.","productDescription":"13 p.","startPage":"2100","endPage":"2112","numberOfPages":"13","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":246030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218050,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2010.0030"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fff4e4b0c8380cd4f4ca","contributors":{"authors":[{"text":"Kraus, Tamara E.C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":1452,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E.C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":1151,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey W.","email":"chauncey@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgenstern, Karl","contributorId":57716,"corporation":false,"usgs":true,"family":"Morgenstern","given":"Karl","email":"","affiliations":[],"preferred":false,"id":462021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037634,"text":"70037634 - 2010 - Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037634","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA","docAbstract":"The Silver Springs Group, Florida (USA), forms the headwaters of the Silver River and supports a diverse ecosystem. The 30 headwater springs divide into five subgroups based on chemistry. Five selected spring vents were sampled in 2007 to better understand the contaminant sources and groundwater flow system. Elevated nitrate-N concentrations (>0.8mg/L) in the five spring vents likely originate from inorganic (fertilizers) and organic sources, based on nitrogen and oxygen isotope ratios of nitrate. Evidence for denitrification in the Lost River Boil spring includes enriched ??15N and ??18O, excess N2 gas, and low dissolved O2 concentrations (<0.5mg/L). Multiple age-tracer data (SF6, 3H, tritiogenic 3He) for the two uppermost springs (Mammoth East and Mammoth West) indicate a binary mixture dominated by recent recharge water (mean age 6-7 years, and 87-97% young water). Tracer data for the three downstream spring vents (Lost River Boil, Catfish Hotel-1, and Catfish Conventional Hall-1) indicate exponential mixtures with mean ages of 26-35 years. Contamination from non-atmospheric sources of CFCs and SF5CF3 precluded their use as age tracers here. Variations in chemistry were consistent with mean groundwater age, as nitrate-N and dissolved O2 concentrations were higher in younger waters, and the Ca/Mg ratio decreased with increasing mean age. ?? 2010 Springer-Verlag (outside the USA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10040-010-0669-y","issn":"14312174","usgsCitation":"Knowles, L., Katz, B., and Toth, D.J., 2010, Using multiple chemical indicators to characterize and determine the age of groundwater from selected vents of the silver springs group, Central Florida, USA: Hydrogeology Journal, v. 18, no. 8, p. 1825-1838, https://doi.org/10.1007/s10040-010-0669-y.","startPage":"1825","endPage":"1838","numberOfPages":"14","costCenters":[],"links":[{"id":218038,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-010-0669-y"},{"id":246015,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"505bc078e4b08c986b32a146","contributors":{"authors":[{"text":"Knowles, L. Jr.","contributorId":72630,"corporation":false,"usgs":true,"family":"Knowles","given":"L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":462018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, B. G.","contributorId":82702,"corporation":false,"usgs":true,"family":"Katz","given":"B. G.","affiliations":[],"preferred":false,"id":462019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, D. J.","contributorId":46563,"corporation":false,"usgs":true,"family":"Toth","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037183,"text":"70037183 - 2010 - Paradigms and proboscideans in the southern Great Lakes region, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037183","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Paradigms and proboscideans in the southern Great Lakes region, USA","docAbstract":"Thirteen new chronometric dates for Illinois proboscideans are considered in relation to well-dated pollen records from northeastern and central Illinois. These dates span an interval from 21,228 to 12,944 cal BP. When compared to pollen spectra, it is evident that Mammut americanum inhabited spruce (Picea) and black ash (Fraxinus nigra) forest during the B??lling-Aller??d (14,700-12,900 cal BP) and early Younger Dryas (12,900-11,650 cal BP) chronozones. Both Mammuthus jeffersonii and Mammuthus primigenius inhabited spruce dominated open-woodland during the Oldest Dryas chronozone, while M.??primigenius persisted in a forest of predominantly black ash during the Aller??d chronozone. A newly discovered specimen from Lincoln, IL, clarifies the taxonomic distinction between M. primigenius and M.??jeffersonii. Hitherto, a paradigm of proboscidean succession during the full- to late-glacial periods was based on the vegetation succession of steppe tundra-like vegetation to spruce forest to spruce-deciduous forest. The presumed proboscidean succession was that of cold, dry steppe-adapted M. primigenius succeeded by more mesic-tolerant M. jeffersonii that in turn was succeeded by the wet forest-adapted M.??americanum. Reported data do not support this view and indicate a need for re-evaluation of assumptions of proboscidean ecology and history, e.g., the environmental tolerances and habits of M.??primigenius in regions south of 55??N, and its dynamic relationship with other proboscidean taxa. ?? 2009 Elsevier Ltd and INQUA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quaint.2009.07.031","issn":"10406182","usgsCitation":"Saunders, J., Grimm, E., Widga, C., Campbell, G., Curry, B.B., Grimley, D., Hanson, P., McCullum, J., Oliver, J., and Treworgy, J., 2010, Paradigms and proboscideans in the southern Great Lakes region, USA: Quaternary International, v. 217, no. 1-2, p. 175-187, https://doi.org/10.1016/j.quaint.2009.07.031.","startPage":"175","endPage":"187","numberOfPages":"13","costCenters":[],"links":[{"id":217167,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2009.07.031"},{"id":245088,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"217","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a74c2e4b0c8380cd777f4","contributors":{"authors":[{"text":"Saunders, J.J.","contributorId":72598,"corporation":false,"usgs":true,"family":"Saunders","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":459793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimm, E.C.","contributorId":88136,"corporation":false,"usgs":true,"family":"Grimm","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":459794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widga, C.C.","contributorId":98146,"corporation":false,"usgs":true,"family":"Widga","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":459796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, G.D.","contributorId":25014,"corporation":false,"usgs":true,"family":"Campbell","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":459790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curry, B. Brandon","contributorId":104224,"corporation":false,"usgs":true,"family":"Curry","given":"B.","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":459797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":459789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, P.R.","contributorId":45434,"corporation":false,"usgs":true,"family":"Hanson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":459792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCullum, J.P.","contributorId":93733,"corporation":false,"usgs":true,"family":"McCullum","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":459795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oliver, J.S.","contributorId":17073,"corporation":false,"usgs":true,"family":"Oliver","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":459788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Treworgy, J.D.","contributorId":39145,"corporation":false,"usgs":true,"family":"Treworgy","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":459791,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70037261,"text":"70037261 - 2010 - Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037261","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","docAbstract":"Many theoretical and laboratory studies have been undertaken to understand debris-flow processes and their associated hazards. However, complete and quantitative data sets from natural debris flows needed for confirmation of these results are limited. We used a novel combination of in situ measurements of debris-flow dynamics, video imagery, and pre- and postflow 2-cm-resolution digital terrain models to study a natural debris-flow event. Our field data constrain the initial and final reach morphology and key flow dynamics. The observed event consisted of multiple surges, each with clear variation of flow properties along the length of the surge. Steep, highly resistant, surge fronts of coarse-grained material without measurable pore-fluid pressure were pushed along by relatively fine-grained and water-rich tails that had a wide range of pore-fluid pressures (some two times greater than hydrostatic). Surges with larger nonequilibrium pore-fluid pressures had longer travel distances. A wide range of travel distances from different surges of similar size indicates that dynamic flow properties are of equal or greater importance than channel properties in determining where a particular surge will stop. Progressive vertical accretion of multiple surges generated the total thickness of mapped debris-flow deposits; nevertheless, deposits had massive, vertically unstratified sedimentological textures. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30928.1","issn":"00917613","usgsCitation":"McCoy, S., Kean, J., Coe, J.A., Staley, D., Wasklewicz, T., and Tucker, G., 2010, Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning: Geology, v. 38, no. 8, p. 735-738, https://doi.org/10.1130/G30928.1.","startPage":"735","endPage":"738","numberOfPages":"4","costCenters":[],"links":[{"id":245349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217403,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30928.1"}],"volume":"38","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d7ce4b0c8380cd5304a","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":460139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":460138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":460136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasklewicz, T.A.","contributorId":64922,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"T.A.","affiliations":[],"preferred":false,"id":460137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":460140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046693,"text":"dds49101 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Artificial Drainage (1992) and Irrigation (1997)","interactions":[],"lastModifiedDate":"2013-11-25T16:05:21","indexId":"dds49101","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"491-01","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Artificial Drainage (1992) and Irrigation (1997)","docAbstract":"This tabular data set represents the estimated area of artifical drainage for the year 1992 and irrigation types for the year 1997 compiled for every MRB_E2RF1 catchment of Major River Basins (MRBs, Crawford and others, 2006). The source data sets were derived from tabular National Resource Inventory (NRI) data sets created by the National Resources Conservation Service (NRCS, U.S. Department of Agriculture, 1995, 2000). Artificial drainage is defined as subsurface drains and ditches. Irrigation types are defined as gravity and pressure. Subsurface drains are described as conduits, such as corrugated plastic tubing, tile, or pipe, installed beneath the ground surface to collect and/or convey drainage. Surface drainage field ditches are described as graded ditches for collecting excess water. Gravity irrigation source is described as irrigation delivered to the farm and/or field by canals or pipelines open to the atmosphere; and water is distributed by the force of gravity down the field by: (1) A surface irrigation system (border, basin, furrow, corrugation, wild flooding, etc.) or (2) Sub-surface irrigation pipelines or ditches. Pressure irrigation source is described as irrigation delivered to the farm and/or field in pump or elevation-induced pressure pipelines, and water is distributed across the field by: (1) Sprinkle irrigation (center pivot, linear move, traveling gun, side roll, hand move, big gun, or fixed set sprinklers), or (2) Micro irrigation (drip emitters, continuous tube bubblers, micro spray or micro sprinklers). NRI data do not include Federal lands and are thus excluded from this dataset. The tabular data for drainage were spatially apportioned to the National Land Cover Dataset (NLCD, Kerie Hitt, U.S. Geological Survey, written commun., 2005) and the tabular data for irrigation were spatially apportioned to an enhanced version of the National Land Cover Dataset (NLCDe, Nakagaki and others, 2007). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49101","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Artificial Drainage (1992) and Irrigation (1997): U.S. Geological Survey Data Series 491-01, Dataset, https://doi.org/10.3133/dds49101.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274186,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_adrain.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbdfe4b0d298e5434c24","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037473,"text":"70037473 - 2010 - Using chloride and other ions to trace sewage and road salt in the Illinois Waterway","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037473","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Using chloride and other ions to trace sewage and road salt in the Illinois Waterway","docAbstract":"Chloride concentrations in waterways of northern USA are increasing at alarming rates and road salt is commonly assumed to be the cause. However, there are additional sources of Cl- in metropolitan areas, such as treated wastewater (TWW) and water conditioning salts, which may be contributing to Cl- loads entering surface waters. In this study, the potential sources of Cl- and Cl- loads in the Illinois River Basin from the Chicago area to the Illinois River's confluence with the Mississippi River were investigated using halide data in stream samples and published Cl- and river discharge data. The investigation showed that road salt runoff and TWW from the Chicago region dominate Cl- loads in the Illinois Waterway, defined as the navigable sections of the Illinois River and two major tributaries in the Chicago region. Treated wastewater discharges at a relatively constant rate throughout the year and is the primary source of Cl- and other elements such as F- and B. Chloride loads are highest in the winter and early spring as a result of road salt runoff which can increase Cl- concentrations by up to several hundred mg/L. Chloride concentrations decrease downstream in the Illinois Waterway due to dilution, but are always elevated relative to tributaries downriver from Chicago. The TWW component is especially noticeable downstream under low discharge conditions during summer and early autumn when surface drainage is at a minimum and agricultural drain tiles are not flowing. Increases in population, urban and residential areas, and roadways in the Chicago area have caused an increase in the flux of Cl- from both road salt and TWW. Chloride concentrations have been increasing in the Illinois Waterway since around 1960 at a rate of about 1 mg/L/a. The increase is largest in the winter months due to road salt runoff. Shallow groundwater Cl- concentrations are also increasing, potentially producing higher base flow concentrations. Projected increases in population and urbanization over the next several decades suggest that the trend of increasing Cl- concentrations and loads will continue. Given the susceptibility of aquatic ecosystems to increasing Cl- concentrations, especially short-term spikes following snow melts, deleterious effects on riverine ecosystems would be expected. ?? 2010 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2010.01.020","issn":"08832927","usgsCitation":"Kelly, W., Panno, S., Hackley, K.C., Hwang, H., Martinsek, A., and Markus, M., 2010, Using chloride and other ions to trace sewage and road salt in the Illinois Waterway: Applied Geochemistry, v. 25, no. 5, p. 661-673, https://doi.org/10.1016/j.apgeochem.2010.01.020.","startPage":"661","endPage":"673","numberOfPages":"13","costCenters":[],"links":[{"id":217037,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2010.01.020"},{"id":244948,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc03ee4b08c986b329fee","contributors":{"authors":[{"text":"Kelly, W.R.","contributorId":74120,"corporation":false,"usgs":true,"family":"Kelly","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":461231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panno, S.V.","contributorId":102990,"corporation":false,"usgs":true,"family":"Panno","given":"S.V.","email":"","affiliations":[],"preferred":false,"id":461233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Keith C.","contributorId":12166,"corporation":false,"usgs":true,"family":"Hackley","given":"Keith","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":461229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hwang, H.-H.","contributorId":6981,"corporation":false,"usgs":true,"family":"Hwang","given":"H.-H.","email":"","affiliations":[],"preferred":false,"id":461228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinsek, A.T.","contributorId":100107,"corporation":false,"usgs":true,"family":"Martinsek","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":461232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Markus, M.","contributorId":54781,"corporation":false,"usgs":true,"family":"Markus","given":"M.","email":"","affiliations":[],"preferred":false,"id":461230,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037550,"text":"70037550 - 2010 - Laboratory-based maximum slip rates in earthquake rupture zones and radiated energy","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037550","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory-based maximum slip rates in earthquake rupture zones and radiated energy","docAbstract":"Laboratory stick-slip friction experiments indicate that peak slip rates increase with the stresses loading the fault to cause rupture. If this applies also to earthquake fault zones, then the analysis of rupture processes is simplified inasmuch as the slip rates depend only on the local yield stress and are independent of factors specific to a particular event, including the distribution of slip in space and time. We test this hypothesis by first using it to develop an expression for radiated energy that depends primarily on the seismic moment and the maximum slip rate. From laboratory results, the maximum slip rate for any crustal earthquake, as well as various stress parameters including the yield stress, can be determined based on its seismic moment and the maximum slip within its rupture zone. After finding that our new equation for radiated energy works well for laboratory stick-slip friction experiments, we used it to estimate radiated energies for five earthquakes with magnitudes near 2 that were induced in a deep gold mine, an M 2.1 repeating earthquake near the San Andreas Fault Observatory at Depth (SAFOD) site and seven major earthquakes in California and found good agreement with energies estimated independently from spectra of local and regional ground-motion data. Estimates of yield stress for the earthquakes in our study range from 12 MPa to 122 MPa with a median of 64 MPa. The lowest value was estimated for the 2004 M 6 Parkfield, California, earthquake whereas the nearby M 2.1 repeating earthquake, as recorded in the SAFOD pilot hole, showed a more typical yield stress of 64 MPa.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100043","issn":"00371106","usgsCitation":"McGarr, A., Fletcher, J.B., Boettcher, M., Beeler, N., and Boatwright, J., 2010, Laboratory-based maximum slip rates in earthquake rupture zones and radiated energy: Bulletin of the Seismological Society of America, v. 100, no. 6, p. 3250-3260, https://doi.org/10.1785/0120100043.","startPage":"3250","endPage":"3260","numberOfPages":"11","costCenters":[],"links":[{"id":246108,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218124,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100043"}],"volume":"100","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a4123e4b0c8380cd65319","contributors":{"authors":[{"text":"McGarr, Art 0000-0001-9769-4093","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":43491,"corporation":false,"usgs":true,"family":"McGarr","given":"Art","affiliations":[],"preferred":false,"id":461561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Joe B.","contributorId":8850,"corporation":false,"usgs":true,"family":"Fletcher","given":"Joe","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":461559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boettcher, M.","contributorId":28828,"corporation":false,"usgs":true,"family":"Boettcher","given":"M.","email":"","affiliations":[],"preferred":false,"id":461560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeler, N.","contributorId":69753,"corporation":false,"usgs":true,"family":"Beeler","given":"N.","email":"","affiliations":[],"preferred":false,"id":461562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boatwright, J.","contributorId":87297,"corporation":false,"usgs":true,"family":"Boatwright","given":"J.","email":"","affiliations":[],"preferred":false,"id":461563,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037553,"text":"70037553 - 2010 - Soil-test N recommendations augmented with PEST-optimized RZWQM simulations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70037553","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Soil-test N recommendations augmented with PEST-optimized RZWQM simulations","docAbstract":"Improved understanding of year-to-year late-spring soil nitrate test (LSNT) variability could help make it more attractive to producers. We test the ability of the Root Zone Water Quality Model (RZWQM) to simulate watershed-scale variability due to the LSNT, and we use the optimized model to simulate long-term field N dynamics under related conditions. Autoregressive techniques and the automatic parameter calibration program PEST were used to show that RZWQM simulates significantly lower nitrate concentration in discharge from LSNT treatments compared with areas receiving fall N fertilizer applications within the tile-drained Walnut Creek, Iowa, watershed (>5 mg N L-1 difference for the third year of the treatment, 1999). This result is similar to field-measured data from a paired watershed experiment. A statistical model we developed using RZWQM simulations from 1970 to 2005 shows that early-season precipitation and early-season temperature account for 90% of the interannual variation in LSNT-based fertilizer N rates. Long-term simulations with similar average N application rates for corn (Zea mays L.) (151 kg N ha-1) show annual average N loss in tile flow of 20.4, 22.2, and 27.3 kg N ha -1 for LSNT, single spring, and single fall N applications. These results suggest that (i) RZWQM is a promising tool to accurately estimate the water quality effects of LSNT; (ii) the majority of N loss difference between LSNT and fall applications is because more N remains in the root zone for crop uptake; and (iii) year-to-year LSNT-based N rate differences are mainly due to variation in early-season precipitation and temperature. Copyright ?? 2010 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2009.0425","issn":"00472425","usgsCitation":"Malone, R., Jaynes, D., Ma, L., Nolan, B.T., Meek, D., and Karlen, D., 2010, Soil-test N recommendations augmented with PEST-optimized RZWQM simulations: Journal of Environmental Quality, v. 39, no. 5, p. 1711-1723, https://doi.org/10.2134/jeq2009.0425.","startPage":"1711","endPage":"1723","numberOfPages":"13","costCenters":[],"links":[{"id":217919,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0425"},{"id":245892,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b922ae4b08c986b319d3d","contributors":{"authors":[{"text":"Malone, R.W.","contributorId":86572,"corporation":false,"usgs":true,"family":"Malone","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":461574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaynes, D.B.","contributorId":103505,"corporation":false,"usgs":true,"family":"Jaynes","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":461575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Liwang","contributorId":29140,"corporation":false,"usgs":true,"family":"Ma","given":"Liwang","email":"","affiliations":[],"preferred":false,"id":461572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolan, B. T.","contributorId":21565,"corporation":false,"usgs":true,"family":"Nolan","given":"B.","email":"","middleInitial":"T.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":461571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meek, D.W.","contributorId":50385,"corporation":false,"usgs":true,"family":"Meek","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":461573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karlen, D.L.","contributorId":12297,"corporation":false,"usgs":true,"family":"Karlen","given":"D.L.","affiliations":[],"preferred":false,"id":461570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037475,"text":"70037475 - 2010 - The relative influence of nutrients and habitat on stream metabolism in agricultural streams","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037475","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"The relative influence of nutrients and habitat on stream metabolism in agricultural streams","docAbstract":"Stream metabolism was measured in 33 streams across a gradient of nutrient concentrations in four agricultural areas of the USA to determine the relative influence of nutrient concentrations and habitat on primary production (GPP) and respiration (CR-24). In conjunction with the stream metabolism estimates, water quality and algal biomass samples were collected, as was an assessment of habitat in the sampling reach. When data for all study areas were combined, there were no statistically significant relations between gross primary production or community respiration and any of the independent variables. However, significant regression models were developed for three study areas for GPP (r 2 = 0.79-0.91) and CR-24 (r 2 = 0.76-0.77). Various forms of nutrients (total phosphorus and area-weighted total nitrogen loading) were significant for predicting GPP in two study areas, with habitat variables important in seven significant models. Important physical variables included light availability, precipitation, basin area, and in-stream habitat cover. Both benthic and seston chlorophyll were not found to be important explanatory variables in any of the models; however, benthic ash-free dry weight was important in two models for GPP. ?? 2009 The Author(s).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10661-009-1127-y","issn":"01676369","usgsCitation":"Frankforter, J., Weyers, H., Bales, J., Moran, P., and Calhoun, D., 2010, The relative influence of nutrients and habitat on stream metabolism in agricultural streams: Environmental Monitoring and Assessment, v. 168, no. 1-4, p. 461-479, https://doi.org/10.1007/s10661-009-1127-y.","startPage":"461","endPage":"479","numberOfPages":"19","costCenters":[],"links":[{"id":475920,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-009-1127-y","text":"Publisher Index Page"},{"id":217039,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1127-y"},{"id":244950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"168","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-08-15","publicationStatus":"PW","scienceBaseUri":"505baf2de4b08c986b3245e9","contributors":{"authors":[{"text":"Frankforter, J.D.","contributorId":80303,"corporation":false,"usgs":true,"family":"Frankforter","given":"J.D.","affiliations":[],"preferred":false,"id":461240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weyers, H.S.","contributorId":8592,"corporation":false,"usgs":true,"family":"Weyers","given":"H.S.","email":"","affiliations":[],"preferred":false,"id":461237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, J. D.","contributorId":21569,"corporation":false,"usgs":true,"family":"Bales","given":"J. D.","affiliations":[],"preferred":false,"id":461239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, P.W.","contributorId":9401,"corporation":false,"usgs":true,"family":"Moran","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":461238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calhoun, D.L.","contributorId":100653,"corporation":false,"usgs":true,"family":"Calhoun","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":461241,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037621,"text":"70037621 - 2010 - Population dynamics of spotted owls in the Sierra Nevada, California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:00","indexId":"70037621","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of spotted owls in the Sierra Nevada, California","docAbstract":"The California spotted owl (Strix occidentalis occidentalis) is the only spotted owl subspecies not listed as threatened or endangered under the United States Endangered Species Act despite petitions to list it as threatened. We conducted a meta-analysis of population data for 4 populations in the southern Cascades and Sierra Nevada, California, USA, from 1990 to 2005 to assist a listing evaluation by the United States Fish and Wildlife Service. Our study areas (from N to S) were on the Lassen National Forest (LAS), Eldorado National Forest (ELD), Sierra National Forest (SIE), and Sequoia and Kings Canyon National Parks (SKC). These study areas represented a broad spectrum of habitat and management conditions in these mountain ranges. We estimated apparent survival probability, reproductive output, and rate of population change for spotted owls on individual study areas and for all study areas combined (meta-analysis) using model selection or model-averaging based on maximum-likelihood estimation. We followed a formal protocol to conduct this analysis that was similar to other spotted owl meta-analyses. Consistency of field and analytical methods among our studies reduced confounding methodological effects when evaluating results. We used 991 marked spotted owls in the analysis of apparent survival. Apparent survival probability was higher for adult than for subadult owls. There was little difference in apparent survival between male and female owls. Model-averaged mean estimates of apparent survival probability of adult owls varied from 0.811 ?? 0.021 for females at LAS to 0.890 ?? 0.016 for males at SKC. Apparent survival increased over time for owls of all age classes at LAS and SIE, for adults at ELD, and for second-year subadults and adults at SKC. The meta-analysis of apparent survival, which included only adult owls, confirmed an increasing trend in survival over time. Survival rates were higher for owls on SKC than on the other study areas. We analyzed data from 1,865 observations of reproductive outcomes for female spotted owls. The proportion of subadult females among all territorial females of known age ranged from 0.00 to 0.25 among study areas and years. The proportion of subadults among female spotted owls was negatively related to reproductive output (no. of young fledged/territorial F owl) for ELD and SIE. Eldorado study area and LAS showed an alternate-year trend in reproductive output, with higher output in even-numbered years. Mean annual reproductive output was 0.988 ?? 0.154 for ELD, 0.624 ?? 0.140 for LAS, 0.478 ?? 0.106 for SIE, and 0.555 ?? 0.110 for SKC. Eldorado Study Area exhibited a declining trend and the greatest variation in reproductive output over time, whereas SIE and SKC, which had the lowest reproductive output, had the lowest temporal variation. Meta-analysis confirmed that reproductive output varied among study areas. Reproductive output was highest for adults, followed by second-year subadults, and then by first-year subadults. We used 842 marked subadult and adult owls to estimate population rate of change. Modeling indicated that ??t (??t is the finite rate of population change estimated using the reparameterized JollySeber estimator Pradel 1996) was either stationary (LAS and SIE) or increasing after an initial decrease (ELD and SKC). Mean estimated ??t for the 4 study areas was 1.007 (95 CI 0.9521.066) for ELD; 0.973 (95 CI 0.9461.001) for LAS; 0.992 (95 CI 0.9661.018) for SIE; and 1.006 (95 CI 0.9471.068) for SKC. The best meta-analysis model of population trend indicated that ?? varied across time but was similar in trend among the study areas. Our estimates of realized population change (??t; Franklin et al. 2004), which we estimated as the product 1 ?? ??3 ?? ??4 ?? .?? ??k -1, were based on estimates of ??t from individual study areas and did not require estimating annual population size for each study area. Trends represented the proportion of the population size in the first ye","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Monographs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2008-475","issn":"00840173","usgsCitation":"Blakesley, J., Seamans, M., Conner, M., Franklin, A., White, G.C., Gutierrez, R.J., Hines, J., Nichols, J., Munton, T., Shaw, D., Keane, J., Steger, G., and McDonald, T.L., 2010, Population dynamics of spotted owls in the Sierra Nevada, California: Wildlife Monographs, no. 174, p. 1-36, https://doi.org/10.2193/2008-475.","startPage":"1","endPage":"36","numberOfPages":"36","costCenters":[],"links":[{"id":217938,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2008-475"},{"id":245911,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"174","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505a7d54e4b0c8380cd79ea5","contributors":{"authors":[{"text":"Blakesley, J.A.","contributorId":63920,"corporation":false,"usgs":true,"family":"Blakesley","given":"J.A.","affiliations":[],"preferred":false,"id":461962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seamans, M.E.","contributorId":48662,"corporation":false,"usgs":true,"family":"Seamans","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":461959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, M.M.","contributorId":51136,"corporation":false,"usgs":true,"family":"Conner","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":461960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franklin, A.B.","contributorId":105667,"corporation":false,"usgs":true,"family":"Franklin","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":461965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Gary C.","contributorId":26256,"corporation":false,"usgs":true,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":461956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gutierrez, R. J.","contributorId":7647,"corporation":false,"usgs":false,"family":"Gutierrez","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":461953,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":461958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":461954,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munton, T.E.","contributorId":18884,"corporation":false,"usgs":true,"family":"Munton","given":"T.E.","email":"","affiliations":[],"preferred":false,"id":461955,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shaw, D.W.H.","contributorId":57577,"corporation":false,"usgs":true,"family":"Shaw","given":"D.W.H.","email":"","affiliations":[],"preferred":false,"id":461961,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Keane, J.J.","contributorId":30729,"corporation":false,"usgs":true,"family":"Keane","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":461957,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steger, G.N.","contributorId":92397,"corporation":false,"usgs":true,"family":"Steger","given":"G.N.","email":"","affiliations":[],"preferred":false,"id":461963,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDonald, T. L.","contributorId":101211,"corporation":false,"usgs":false,"family":"McDonald","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":461964,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70037610,"text":"70037610 - 2010 - A methodology for ecosystem-scale modeling of selenium","interactions":[],"lastModifiedDate":"2018-10-10T16:52:22","indexId":"70037610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for ecosystem-scale modeling of selenium","docAbstract":"The main route of exposure for selenium (Se) is dietary, yet regulations lack biologically based protocols for evaluations of risk. We propose here an ecosystem-scale model that conceptualizes and quantifies the variables that determinehow Se is processed from water through diet to predators. This approach uses biogeochemical and physiological factors from laboratory and field studies and considers loading, speciation, transformation to particulate material, bioavailability, bioaccumulation in invertebrates, and trophic transfer to predators. Validation of the model is through data sets from 29 historic and recent field case studies of Se-exposed sites. The model links Se concentrations across media (water, particulate, tissue of different food web species). It can be used to forecast toxicity under different management or regulatory proposals or as a methodology for translating a fish-tissue (or other predator tissue) Se concentration guideline to a dissolved Se concentration. The model illustrates some critical aspects of implementing a tissue criterion: 1) the choice of fish species determines the food web through which Se should be modeled, 2) the choice of food web is critical because the particulate material to prey kinetics of bioaccumulation differs widely among invertebrates, 3) the characterization of the type and phase of particulate material is important to quantifying Se exposure to prey through the base of the food web, and 4) the metric describing partitioning between particulate material and dissolved Se concentrations allows determination of a site-specific dissolved Se concentration that would be responsible for that fish body burden in the specific environment. The linked approach illustrates that environmentally safe dissolved Se concentrations will differ among ecosystems depending on the ecological pathways and biogeochemical conditions in that system. Uncertainties and model sensitivities can be directly illustrated by varying exposure scenarios based on site-specific knowledge. The model can also be used to facilitate site-specific regulation and to present generic comparisons to illustrate limitations imposed by ecosystem setting and inhabitants. Used optimally, the model provides a tool for framing a site-specific ecological problem or occurrence of Se exposure, quantify exposure within that ecosystem, and narrow uncertainties abouthowto protect it by understanding the specifics of the underlying system ecology, biogeochemistry, and hydrology.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrated Environmental Assessment and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.101","issn":"15513793","usgsCitation":"Presser, T.S., and Luoma, S.N., 2010, A methodology for ecosystem-scale modeling of selenium: Integrated Environmental Assessment and Management, v. 6, no. 4, p. 685-710, https://doi.org/10.1002/ieam.101.","productDescription":"26 p.","startPage":"685","endPage":"710","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":218077,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ieam.101"},{"id":246058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-01","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd46605","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":461902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}