Natal origin and dispersal potential of the federally threatened Pecos bluntnose shiner (Notropis simus pecosensis) were successfully characterized using otolith microchemistry and swimming performance trials. Strontium isotope ratios (87Sr:86Sr) of otoliths within the resident plains killifish (Fundulus zebrinus) were successfully used as a surrogate for strontium isotope ratios in water and revealed three isotopically distinct reaches throughout 297 km of the Pecos River, New Mexico, USA. Two different life history movement patterns were revealed in Pecos bluntnose shiner. Eggs and fry were either retained in upper river reaches or passively dispersed downriver followed by upriver movement during the first year of life, with some fish achieving a minimum movement of 56 km. Swimming ability of Pecos bluntnose shiner confirmed upper critical swimming speeds (Ucrit) as high as 43.8 cm·s−1 and 20.6 body lengths·s−1 in 30 days posthatch fish. Strong swimming ability early in life supports our observations of upriver movement using otolith microchemistry and confirms movement patterns that were previously unknown for the species. Understanding patterns of dispersal of this and other small-bodied fishes using otolith microchemistry may help redirect conservation and management efforts for Great Plains fishes.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0574","usgsCitation":"Chase, N.M., Caldwell, C.A., Carleton, S.A., Gould, W., and Hobbs, J.A., 2015, Movement patterns and dispersal potential of Pecos bluntnose shiner (Notropis simus pecosensis) revealed using otolith microchemistry: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 10, p. 1575-1583, https://doi.org/10.1139/cjfas-2014-0574.","productDescription":"9 p.","startPage":"1575","endPage":"1583","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061033","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Pecos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.6063232421875,\n 32.532920675187846\n ],\n [\n -104.6063232421875,\n 34.646766246519114\n ],\n [\n -104.095458984375,\n 34.646766246519114\n ],\n [\n -104.095458984375,\n 32.532920675187846\n ],\n [\n -104.6063232421875,\n 32.532920675187846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c27516a","contributors":{"authors":[{"text":"Chase, Nathan M.","contributorId":171637,"corporation":false,"usgs":false,"family":"Chase","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":638160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobbs, James A.","contributorId":171638,"corporation":false,"usgs":false,"family":"Hobbs","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173633,"text":"70173633 - 2015 - Guidelines for evaluating performance of oyster habitat restoration","interactions":[],"lastModifiedDate":"2016-06-08T13:03:58","indexId":"70173633","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluating performance of oyster habitat restoration","docAbstract":"Restoration of degraded ecosystems is an important societal goal, yet inadequate monitoring and the absence of clear performance metrics are common criticisms of many habitat restoration projects. Funding limitations can prevent adequate monitoring, but we suggest that the lack of accepted metrics to address the diversity of restoration objectives also presents a serious challenge to the monitoring of restoration projects. A working group with experience in designing and monitoring oyster reef projects was used to develop standardized monitoring metrics, units, and performance criteria that would allow for comparison among restoration sites and projects of various construction types. A set of four universal metrics (reef areal dimensions, reef height, oyster density, and oyster size–frequency distribution) and a set of three universal environmental variables (water temperature, salinity, and dissolved oxygen) are recommended to be monitored for all oyster habitat restoration projects regardless of their goal(s). In addition, restoration goal-based metrics specific to four commonly cited ecosystem service-based restoration goals are recommended, along with an optional set of seven supplemental ancillary metrics that could provide information useful to the interpretation of prerestoration and postrestoration monitoring data. Widespread adoption of a common set of metrics with standardized techniques and units to assess well-defined goals not only allows practitioners to gauge the performance of their own projects but also allows for comparison among projects, which is both essential to the advancement of the field of oyster restoration and can provide new knowledge about the structure and ecological function of oyster reef ecosystems.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12262","usgsCitation":"Baggett, L.P., Powers, S.P., Brumbaugh, R.D., Coen, L.D., DeAngelis, B.M., Greene, J.K., Hancock, B.T., Morlock, S.M., Allen, B.L., Breitburg, D.L., Bushek, D., Grabowski, J., Grizzle, R.E., Grosholz, E., LaPeyre, M.K., Luckenbach, M.W., McGraw, K.A., Piehler, M.F., Westby, S.R., and zu Ermgassen, P., 2015, Guidelines for evaluating performance of oyster habitat restoration: Restoration Ecology, v. 23, no. 6, p. 737-745, https://doi.org/10.1111/rec.12262.","productDescription":"9 p.","startPage":"737","endPage":"745","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh 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We describe a new method of deploying push nets from jet-propelled kayaks to enable the sampling of previously inaccessible off-channel habitats. The described rig is also functional in more open and accessible habitats, such as the main channel of rivers or reservoirs. Although further evaluation is necessary to ensure that results are comparable across studies, the described push-net system offers a statistically rigorous methodology that generates replicate samples from a wide range of freshwater habitats that were previously inaccessible to this gear type.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1069426","usgsCitation":"Acre, M., and Grabowski, T.B., 2015, Deployment of paired pushnets from jet-propelled kayaks to sample ichthyoplankton: North American Journal of Fisheries Management, v. 35, no. 5, p. 925-929, https://doi.org/10.1080/02755947.2015.1069426.","productDescription":"5 p.","startPage":"925","endPage":"929","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062119","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-21","publicationStatus":"PW","scienceBaseUri":"5757f032e4b04f417c24da42","contributors":{"authors":[{"text":"Acre, Matthew R.","contributorId":171446,"corporation":false,"usgs":false,"family":"Acre","given":"Matthew R.","affiliations":[],"preferred":false,"id":637491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173688,"text":"70173688 - 2015 - Smartphones reveal angler behavior: A case study of a popular mobile fishing application in Alberta, Canada","interactions":[],"lastModifiedDate":"2018-02-28T14:39:56","indexId":"70173688","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Smartphones reveal angler behavior: A case study of a popular mobile fishing application in Alberta, Canada","docAbstract":"Successfully managing fisheries and controlling the spread of invasive species depends on the ability to describe and predict angler behavior. However, finite resources restrict conventional survey approaches and tend to produce retrospective data that are limited in time or space and rely on intentions or attitudes rather than actual behavior. In this study, we used three years of angler data from a popular mobile fishing application in Alberta, Canada, to determine province-wide, seasonal patterns of (1) lake popularity that were consistent with conventional data and (2) anthropogenic lake connectivity that has not been widely described in North America. Our proof-of-concept analyses showed that mobile apps can be an inexpensive source of high-resolution, real-time data for managing fisheries and invasive species. We also identified key challenges that underscore the need for further research and development in this new frontier that combines big data with increased stakeholder interaction and cooperation.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/03632415.2015.1049693","usgsCitation":"Papenfuss, J.T., Phelps, N., Fulton, D.C., and Venturelli, P.A., 2015, Smartphones reveal angler behavior: A case study of a popular mobile fishing application in Alberta, Canada: Fisheries, v. 40, no. 7, p. 318-327, https://doi.org/10.1080/03632415.2015.1049693.","productDescription":"10 p.","startPage":"318","endPage":"327","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057833","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-01","publicationStatus":"PW","scienceBaseUri":"5757f064e4b04f417c24dd1d","contributors":{"authors":[{"text":"Papenfuss, Jason T.","contributorId":171475,"corporation":false,"usgs":false,"family":"Papenfuss","given":"Jason","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":637567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Nicholas","contributorId":171476,"corporation":false,"usgs":false,"family":"Phelps","given":"Nicholas","affiliations":[],"preferred":false,"id":637568,"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":637509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Venturelli, Paul A.","contributorId":171477,"corporation":false,"usgs":false,"family":"Venturelli","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173662,"text":"70173662 - 2015 - Forecasting the effects of fertility control on overabundant ungulates: White-tailed deer in the National Capital Region","interactions":[],"lastModifiedDate":"2016-06-08T10:17:11","indexId":"70173662","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the effects of fertility control on overabundant ungulates: White-tailed deer in the National Capital Region","docAbstract":"Overabundant populations of ungulates have caused environmental degradation and loss of biological diversity in ecosystems throughout the world. Culling or regulated harvest is often used to control overabundant species. These methods are difficult to implement in national parks, other types of conservation reserves, or in residential areas where public hunting may be forbidden by policy. As a result, fertility control has been recommended as a non-lethal alternative for regulating ungulate populations. We evaluate this alternative using white-tailed deer in national parks in the vicinity of Washington, D.C., USA as a model system. Managers seek to reduce densities of white-tailed deer from the current average (50 deer per km2) to decrease harm to native plant communities caused by deer. We present a Bayesian hierarchical model using 13 years of population estimates from 8 national parks in the National Capital Region Network. We offer a novel way to evaluate management actions relative to goals using short term forecasts. Our approach confirms past analyses that fertility control is incapable of rapidly reducing deer abundance. Fertility control can be combined with culling to maintain a population below carrying capacity with a high probability of success. This gives managers confronted with problematic overabundance a framework for implementing management actions with a realistic assessment of uncertainty.
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Due to salamander use of structurally complex habitats, and because only a portion of a population is available for sampling, evaluation of sampling designs and estimators is critical to provide strong inference about Plethodontid ecology and responses to conservation and management activities. We conducted a simulation study to evaluate the effectiveness of multi-scale and hierarchical single-scale occupancy models in the context of a Before-After Control-Impact (BACI) experimental design with multiple levels of sampling. Also, we fit the hierarchical single-scale model to empirical data collected for Oregon slender and Ensatina salamanders across two years on 66 forest stands in the Cascade Range, Oregon, USA. All models were fit within a Bayesian framework. Estimator precision in both models improved with increasing numbers of primary and secondary sampling units, underscoring the potential gains accrued when adding secondary sampling units. Both models showed evidence of estimator bias at low detection probabilities and low sample sizes; this problem was particularly acute for the multi-scale model. Our results suggested that sufficient sample sizes at both the primary and secondary sampling levels could ameliorate this issue. Empirical data indicated Oregon slender salamander occupancy was associated strongly with the amount of coarse woody debris (posterior mean = 0.74; SD = 0.24); Ensatina occupancy was not associated with amount of coarse woody debris (posterior mean = -0.01; SD = 0.29). Our simulation results indicate that either model is suitable for use in an experimental study of Plethodontid salamanders provided that sample sizes are sufficiently large. However, hierarchical single-scale and multi-scale models describe different processes and estimate different parameters. As a result, we recommend careful consideration of study questions and objectives prior to sampling data and fitting models.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0142903","usgsCitation":"Kroll, A.J., Garcia, T.S., Jones, J., Dugger, K., Murden, B., Johnson, J., Peerman, S., Brintz, B., and Rochelle, M., 2015, Evaluating multi-level models to test occupancy state responses of Plethodontid salamanders: PLoS ONE, v. 10, no. 11, e0142903; 19 p., https://doi.org/10.1371/journal.pone.0142903.","productDescription":"e0142903; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0142903","text":"Publisher Index Page"},{"id":323290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-30","publicationStatus":"PW","scienceBaseUri":"575941e1e4b04f417c256833","contributors":{"authors":[{"text":"Kroll, Andrew J.","contributorId":171590,"corporation":false,"usgs":false,"family":"Kroll","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tiffany S.","contributorId":171591,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Jay E.","contributorId":171592,"corporation":false,"usgs":false,"family":"Jones","given":"Jay E.","affiliations":[],"preferred":false,"id":638046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murden, Blake","contributorId":171593,"corporation":false,"usgs":false,"family":"Murden","given":"Blake","email":"","affiliations":[],"preferred":false,"id":638047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Josh","contributorId":171594,"corporation":false,"usgs":false,"family":"Johnson","given":"Josh","email":"","affiliations":[],"preferred":false,"id":638048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peerman, Summer","contributorId":171595,"corporation":false,"usgs":false,"family":"Peerman","given":"Summer","email":"","affiliations":[],"preferred":false,"id":638049,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brintz, Ben","contributorId":171596,"corporation":false,"usgs":false,"family":"Brintz","given":"Ben","email":"","affiliations":[],"preferred":false,"id":638050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rochelle, Michael","contributorId":171597,"corporation":false,"usgs":false,"family":"Rochelle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":638051,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173644,"text":"70173644 - 2015 - Life-history tradeoffs and reproductive cycles in Spotted Owls","interactions":[],"lastModifiedDate":"2017-10-24T15:11:03","indexId":"70173644","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Life-history tradeoffs and reproductive cycles in Spotted Owls","docAbstract":"The study of tradeoffs among life-history traits has long been key to understanding the evolution of life-history strategies. However, more recently, evolutionary ecologists have realized that reproductive costs have the potential to influence population dynamics. Here, we tested for costs of reproduction in the California Spotted Owl (Strix occidentalis occidentalis), and assessed whether costs of reproduction in year t − 1 on reproduction in year t could be responsible for regionally synchronized biennial cycles in reproductive output. Logistic regression analysis and multistate mark–recapture models with state uncertainty revealed that breeding reduced the likelihood of reproducing in the subsequent year by 16% to 38%, but had no influence on subsequent survival. We also found that costs of reproduction in year t − 1 were correlated with climatic conditions in year t, with evidence of higher costs during the dry phase of the El Niño–Southern Oscillation. Using a simulation-based population model, we showed that strong reproductive costs had the potential to create biennial cycles in population-level reproductive output; however, estimated costs of reproduction appeared to be too small to explain patterns observed in Spotted Owls. In the absence of strong reproductive costs, we hypothesize that observed natural cycles in the reproductive output of Spotted Owls are related to as-yet-unmeasured, regionally concordant fluctuations in environmental conditions or prey resources. Despite theoretical evidence for demographic effects, our analyses illustrate that linking tradeoffs to actual changes in population processes will be challenging because of the potential confounding effects of individual and environmental variation.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-98.1","usgsCitation":"Stoelting, R.E., Gutierrez, R.J., Kendall, W., and Peery, M.Z., 2015, Life-history tradeoffs and reproductive cycles in Spotted Owls: The Auk, v. 132, no. 1, p. 46-64, https://doi.org/10.1642/AUK-14-98.1.","productDescription":"19 p.","startPage":"46","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051728","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-14-98.1","text":"Publisher Index Page"},{"id":323260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57594209e4b04f417c2568ce","contributors":{"authors":[{"text":"Stoelting, Ricka E.","contributorId":171533,"corporation":false,"usgs":false,"family":"Stoelting","given":"Ricka","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutierrez, R. J.","contributorId":7647,"corporation":false,"usgs":false,"family":"Gutierrez","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":637865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peery, M. Zachariah","contributorId":171534,"corporation":false,"usgs":false,"family":"Peery","given":"M.","email":"","middleInitial":"Zachariah","affiliations":[],"preferred":false,"id":637866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173689,"text":"70173689 - 2015 - Assessing tolerance for wildlife: Clarifying relations between concepts and measures","interactions":[],"lastModifiedDate":"2016-06-07T14:35:48","indexId":"70173689","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Assessing tolerance for wildlife: Clarifying relations between concepts and measures","docAbstract":"Two parallel lines of inquiry, tolerance for and acceptance of wildlife populations, have arisen in the applied literature on wildlife conservation to assess probability of successfully establishing or increasing populations of controversial species. Neither of these lines is well grounded in social science theory, and diverse measures have been employed to assess tolerance, which inhibits comparability across studies. We empirically tested behavioral measures of tolerance against self-reports of previous policy-relevant behavior and behavioral intentions. Both composite behavioral measures were strongly correlated (r > .70) with two attitudinal measures of tolerance commonly employed in the literature. The strong correlation between attitudinal and behavioral measures suggests existing attitudinal measures represent valid, parsimonious measures of tolerance that may be useful when behavioral measures are too cumbersome or misreporting of behavior is anticipated. Our results demonstrate how behavioral measures of tolerance provide additional, useful information beyond general attitudinal measures.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10871209.2015.1016387","usgsCitation":"Bruskotter, J.T., Singh, A., Fulton, D.C., and Slagle, K., 2015, Assessing tolerance for wildlife: Clarifying relations between concepts and measures: Human Dimensions of Wildlife: An International Journal, v. 20, no. 3, p. 255-270, https://doi.org/10.1080/10871209.2015.1016387.","productDescription":"16 p.","startPage":"255","endPage":"270","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054441","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-19","publicationStatus":"PW","scienceBaseUri":"5757f02fe4b04f417c24da20","contributors":{"authors":[{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":637564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singh, Ajay","contributorId":171473,"corporation":false,"usgs":false,"family":"Singh","given":"Ajay","email":"","affiliations":[],"preferred":false,"id":637565,"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":637510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slagle, Kristina","contributorId":171474,"corporation":false,"usgs":false,"family":"Slagle","given":"Kristina","email":"","affiliations":[],"preferred":false,"id":637566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173669,"text":"70173669 - 2015 - A guide to Bayesian model selection for ecologists","interactions":[],"lastModifiedDate":"2016-06-08T09:53:32","indexId":"70173669","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"A guide to Bayesian model selection for ecologists","docAbstract":"The steady upward trend in the use of model selection and Bayesian methods in ecological research has made it clear that both approaches to inference are important for modern analysis of models and data. However, in teaching Bayesian methods and in working with our research colleagues, we have noticed a general dissatisfaction with the available literature on Bayesian model selection and multimodel inference. Students and researchers new to Bayesian methods quickly find that the published advice on model selection is often preferential in its treatment of options for analysis, frequently advocating one particular method above others. The recent appearance of many articles and textbooks on Bayesian modeling has provided welcome background on relevant approaches to model selection in the Bayesian framework, but most of these are either very narrowly focused in scope or inaccessible to ecologists. Moreover, the methodological details of Bayesian model selection approaches are spread thinly throughout the literature, appearing in journals from many different fields. Our aim with this guide is to condense the large body of literature on Bayesian approaches to model selection and multimodel inference and present it specifically for quantitative ecologists as neutrally as possible. We also bring to light a few important and fundamental concepts relating directly to model selection that seem to have gone unnoticed in the ecological literature. Throughout, we provide only a minimal discussion of philosophy, preferring instead to examine the breadth of approaches as well as their practical advantages and disadvantages. This guide serves as a reference for ecologists using Bayesian methods, so that they can better understand their options and can make an informed choice that is best aligned with their goals for inference.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-0661.1","usgsCitation":"Hooten, M., and Hobbs, N., 2015, A guide to Bayesian model selection for ecologists: Ecological Monographs, v. 85, no. 1, p. 3-28, https://doi.org/10.1890/14-0661.1.","productDescription":"26 p.","startPage":"3","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052758","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941b1e4b04f417c25676b","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":637477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbs, N.T.","contributorId":9498,"corporation":false,"usgs":true,"family":"Hobbs","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":637820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160156,"text":"70160156 - 2015 - GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","interactions":[],"lastModifiedDate":"2016-06-17T11:21:37","indexId":"70160156","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","docAbstract":"Fog and low cloud cover (FLCC) changes the water, energy, and nutrient flux of coastal ecosystems. Easy-to-use FLCC data are needed to quantify the impacts of FLC on ecosystem dynamics during hot, dry Mediterranean climate summers. FLCC indices were generated from 26,000 hourly night and day FLCC maps derived from Geostationary Environmental Operational Satellite (GOES) data for June, July, August, and September, 1999- 2009 for coastal California, latitude 34.50°N, south of Monterey Bay, to latitude 41.95°N, north of Crescent City. Monthly FLCC average hours per day (h/d) range from < 2 to 18. Average FLCC over the ocean increases from north (9 h/d) to south (14 h/d) whereas FLCC over land is reversed. Over land, FLCC is highest where land juts into the prevailing NW winds and is lowest in the lee of major capes. FLCC advects furthest inland through low-lying NW ocean-facing valleys. At night hours of FLCC is higher more frequently on land than over the ocean. Interannual FLCC coefficient of variation shows long term geographic stability strongly associated with landform position. Contours delineating homogeneous zones of FLCC, derived from average decadal h/d FLCC, provide data to refine the commonly used term ‘fog belt.’ FLCC indices are available for download from the California Landscape Conservation Cooperative Climate Commons website. FLCC indices can be used to improve analyses of biogeographic and bioclimatic species distribution models, meteorological mechanisms driving FLCC patterns, ecohydrological investigations of evapotranspiration, solar energy feasibility studies, agricultural irrigation demand and viticultural ripening models.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Hoboken, NJ","doi":"10.1002/2015EA000119","usgsCitation":"Torregrosa, A.A., Combs, C., and Peters, J., 2015, GOES-derived fog and low cloud indices for coastal north and central California ecological analyses: Earth and Space Science, v. 3, no. 2, p. 46-67, https://doi.org/10.1002/2015EA000119.","productDescription":"22 p.","startPage":"46","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059929","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ea000119","text":"Publisher Index Page"},{"id":323876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"57651f34e4b07657d19c78a1","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":582024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Combs, Cindy","contributorId":150538,"corporation":false,"usgs":false,"family":"Combs","given":"Cindy","email":"","affiliations":[{"id":18046,"text":"2Cooperative Institute for Research in the Atmosphere; Colorado State University, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":582025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":582026,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160331,"text":"70160331 - 2015 - Applied groundwater modeling, 2nd Edition","interactions":[],"lastModifiedDate":"2016-11-28T09:30:57","indexId":"70160331","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Applied groundwater modeling, 2nd Edition","docAbstract":"This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a comprehensive reference for environmental consultants and scientists/engineers in industry and governmental agencies.
","language":"English","publisher":"Academic Press","usgsCitation":"Anderson, M.P., Woessner, W.W., and Hunt, R.J., 2015, Applied groundwater modeling, 2nd Edition (2), 630 p.","productDescription":"630 p.","ipdsId":"IP-060640","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":331232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312456,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/applied-groundwater-modeling/978-0-08-091638-5"}],"edition":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d5034e4b0d9329c80c5a1","contributors":{"authors":[{"text":"Anderson, Mary P.","contributorId":30704,"corporation":false,"usgs":false,"family":"Anderson","given":"Mary","email":"","middleInitial":"P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":582581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woessner, William W.","contributorId":147877,"corporation":false,"usgs":false,"family":"Woessner","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":582582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134006,"text":"70134006 - 2015 - Spatial and temporal migration of a landfill leachate plume in alluvium","interactions":[],"lastModifiedDate":"2018-09-04T15:36:04","indexId":"70134006","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal migration of a landfill leachate plume in alluvium","docAbstract":"Leachate from unlined or leaky landfills can create groundwater contaminant plumes that last decades to centuries. Understanding the dynamics of leachate movement in space and time is essential for monitoring, planning and management, and assessment of risk to groundwater and surface-water resources. Over a 23.4-year period (1986–2010), the spatial extent of the Norman Landfill leachate plume increased at a rate of 7800 m2/year and expanded by 878 %, from an area of 20,800 m2 in 1986 to 203,400 m2 in 2010. A linear plume velocity of 40.2 m/year was calculated that compared favorably to a groundwater-seepage velocity of 55.2 m/year. Plume-scale hydraulic conductivity values representative of actual hydrogeological conditions in the alluvium ranged from 7.0 × 10−5 to 7.5 × 10−4 m/s, with a median of 2.0 × 10−4 m/s. Analyses of field-measured and calculated plume-scale hydraulic conductivity distributions indicate that the upper percentiles of field-measured values should be considered to assess rates of plume-scale migration, spreading, and biodegradation. A pattern of increasing Cl− concentrations during dry periods and decreasing Cl− concentrations during wet periods was observed in groundwater beneath the landfill. The opposite occurred in groundwater downgradient from the landfill; that is, Cl− concentrations in groundwater downgradient from the landfill decreased during dry periods and increased during wet periods. This pattern of changing Cl−concentrations in response to wet and dry periods indicates that the landfill retains or absorbs leachate during dry periods and produces lower concentrated leachate downgradient. During wet periods, the landfill receives more recharge which dilutes leachate in the landfill but increases leachate migration from the landfill and produces a more concentrated contaminant plume. This approach of quantifying plume expansion, migration, and concentration during variable hydrologic conditions provides increased understanding of plume behavior and migration potential and may be applied at less monitored landfill sites to evaluate potential risks of contamination to downgradient receptors.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-014-2261-x","usgsCitation":"Masoner, J.R., and Cozzarelli, I.M., 2015, Spatial and temporal migration of a landfill leachate plume in alluvium: Water, Air, & Soil Pollution, v. 226, Article 18; 15 p., https://doi.org/10.1007/s11270-014-2261-x.","productDescription":"Article 18; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043914","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":324927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"226","noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223bc","contributors":{"authors":[{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":525640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":525639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173664,"text":"70173664 - 2015 - On the existence of maximum likelihood estimates for presence-only data","interactions":[],"lastModifiedDate":"2016-06-08T10:10:52","indexId":"70173664","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"On the existence of maximum likelihood estimates for presence-only data","docAbstract":"We examined survival of bullfrog (Rana catesbeiana) eggs and tadpoles at 3 ppt and 6 ppt salinity in the laboratory to determine if low-level salinity could be used to eradicate bullfrogs from small ponds that contain native fishes. Bullfrog eggs and tadpoles <10 days old experienced 100% mortality when held at 6 ppt salinity for 10 days. Bullfrog tadpoles 10–15 days old experienced significantly reduced survival when exposed to salinity of 6 ppt for 10 days. Older bullfrog tadpoles (>9 months old) appeared unaffected by 14 days of 6 ppt salinity. Salinity of 3 ppt did not impact survival of bullfrog tadpole eggs or tadpoles at any of the life stages we tested. Adding salt to ponds in the early spring to increase salinity to 6 ppt may be a cost effective way to eradicate bullfrogs from small ponds without harming native fishes.
","language":"English","publisher":"The Arizona-Nevada Academy of Science","doi":"10.2181/036.046.0203","usgsCitation":"Ward, D.L., Finch, C., and Blasius, H., 2015, Could high salinity be used to control bullfrogs in small ponds?: Journal of the Arizona-Nevada Academy of Science, v. 46, no. 2, p. 50-52, https://doi.org/10.2181/036.046.0203.","productDescription":"3 p.","startPage":"50","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059256","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56d81cc2e4b015c306f62bde","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":621625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finch, Colton","contributorId":139961,"corporation":false,"usgs":false,"family":"Finch","given":"Colton","affiliations":[{"id":13334,"text":"Uni. of Florida, Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":621753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasius, Heidi","contributorId":167288,"corporation":false,"usgs":false,"family":"Blasius","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":621754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171517,"text":"70171517 - 2015 - Introduction to watershed ecosystem services: Chapter 1","interactions":[],"lastModifiedDate":"2021-04-09T16:09:58.752712","indexId":"70171517","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction to watershed ecosystem services: Chapter 1","docAbstract":"Humans derive a great number of goods and services from terrestrial ecosystems (Millennium Ecosystem Assessment, 2003, 2005). Some, like timber, fruits, bush meat, and other forest based food stuffs, are evident but others are not so obvious. Increasingly policy makers have realized the importance of forests and other ecosystems in sequestering carbon, as clearing of once vibrant vegetation or draining of swamps releases carbon dioxide (U.S. DOE, 2012) and where planting trees – particularly in the tropics - takes carbon dioxide out of the atmosphere (Bala et al., 2007). Scientists and conservationists have long called our attention to the value of Neotropical landscapes for biodiversity conservation as forests and other ecosystems harbor vast numbers of species. In recent decades conservationists and policy makers have also highlighted the potential of forests and other ecosystems to regulate stream flows (Ibáñez et al., 2002, Laurance, 2007 but also see Calder et al., 2007) and play a role in assuring clean water (Uriarte et al., 2011). All of these goods and services are part of what is collectively referred to as ecosystem services or goods and services that are provided to humanity through the unimpeded natural function of the ecosystem.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing watersheds for ecosystem services in the steepland neotropics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Inter-American Development Bank","usgsCitation":"Hall, J.S., Stallard, R.F., and Kirn, V., 2015, Introduction to watershed ecosystem services: Chapter 1, chap. of Managing watersheds for ecosystem services in the steepland neotropics, p. 16-19.","productDescription":"4 p.","startPage":"16","endPage":"19","ipdsId":"IP-065660","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bf2","contributors":{"authors":[{"text":"Hall, Jefferson S.","contributorId":169939,"corporation":false,"usgs":false,"family":"Hall","given":"Jefferson","email":"","middleInitial":"S.","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirn, Vanessa","contributorId":169940,"corporation":false,"usgs":false,"family":"Kirn","given":"Vanessa","email":"","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173574,"text":"70173574 - 2015 - The effects of harvest regulations on behaviors of duck hunters","interactions":[],"lastModifiedDate":"2016-06-13T14:58:38","indexId":"70173574","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"The effects of harvest regulations on behaviors of duck hunters","docAbstract":"Uncertainty exists as to how duck harvest regulations influence waterfowl hunter behavior. We used the U.S. Fish and Wildlife Service’s Parts Collection Survey to examine how harvest regulations affected behaviors of Central Flyway duck hunters. We stratified hunters into ranked groups based on seasonal harvest and identified three periods (1975–1984, 1988–1993, 2002–2011) that represented different harvest regulations (moderate, restrictive, and liberal, respectively; season length and daily bag limits smallest in restrictive seasons and largest in liberal seasons). We examined variability of seven measures of duck hunter behaviors across the periods: days harvesting ducks, daily harvest, hunter mobility, mallard (Anas platyrhynchos) selectivity, gender selectivity, daily female mallard harvest, and timing of harvest. Hunters reported harvesting ducks on more days, at a higher efficiency, and in slightly more counties during liberal seasons relative to restrictive and moderate seasons. We provide evidence to suggest that future regulation change will affect hunter behaviors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2014.950437","usgsCitation":"Haugen, M.T., Powell, L., Vrtiska, M.P., and Pope, K.L., 2015, The effects of harvest regulations on behaviors of duck hunters: Human Dimensions of Wildlife: An International Journal, v. 20, no. 1, p. 15-29, https://doi.org/10.1080/10871209.2014.950437.","productDescription":"15 p.","startPage":"15","endPage":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055656","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-07","publicationStatus":"PW","scienceBaseUri":"575fd933e4b04f417c2baaa2","contributors":{"authors":[{"text":"Haugen, Matthew T.","contributorId":171767,"corporation":false,"usgs":false,"family":"Haugen","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":638582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173546,"text":"70173546 - 2015 - Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","interactions":[],"lastModifiedDate":"2016-06-14T14:53:25","indexId":"70173546","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","docAbstract":"The lower Kootenai River, Idaho, was sampled during the summers of 2012 and 2013 to evaluate its fish assemblage structure at seven sites within main- and side-channel habitats where large-scale habitat rehabilitation was undertaken. Understanding the current patterns of fish assemblage structure and their relationships with habitat is important for evaluating the effects of past and future rehabilitation projects on the river. Species-specific habitat associations were modeled, and the variables that best explained the occurrence and relative abundance of fish were identified in order to guide future habitat rehabilitation so that it benefits native species. The results indicated that the side-channel habitats supported higher species richness than the main-channel habitats and that nonnative fishes were closely associated with newly rehabilitated habitats. This research provides valuable insight on the current fish assemblages in the Kootenai River and the assemblage-level responses that may occur as a result of future rehabilitation activities.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2015.1069756","usgsCitation":"Watkins, C.J., Stevens, B.S., Quist, M.C., Shepard, B.B., and Ireland, S., 2015, Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho: Transactions of the American Fisheries Society, v. 144, no. 6, p. 1340-1355, https://doi.org/10.1080/00028487.2015.1069756.","productDescription":"16 p.","startPage":"1340","endPage":"1355","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059550","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.33354187011719,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.679627401760364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"57612ab3e4b04f417c2ce4bc","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":638743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ireland, Susan C.","contributorId":18244,"corporation":false,"usgs":true,"family":"Ireland","given":"Susan C.","affiliations":[],"preferred":false,"id":638744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134261,"text":"70134261 - 2015 - Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing","interactions":[],"lastModifiedDate":"2016-07-08T12:57:46","indexId":"70134261","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing in situ non-destructive estimates of crop biomass to address issues of scale in remote sensing","docAbstract":"The dependency of surface- and groundwater flows and aquifer hydraulic properties on deformation induced by changes in aquifer head is not accounted for in the standard version of MODFLOW. A new USGS integrated hydrologic model, MODFLOW-OWHM, incorporates this dependency by linking subsidence and mesh deformation with changes in aquifer transmissivity and storage coefficient, and with flows that also depend on aquifer characteristics and land-surface geometry. This new deformation-dependent approach is being used for the further development of the integrated Central Valley hydrologic model (CVHM) in California. Preliminary results from this application and from hypothetical test cases of similar systems show that changes in canal flows, stream seepage, and evapotranspiration from groundwater (ETgw) are sensitive to deformation. Deformation feedback has been shown to also have an indirect effect on conjunctive surface- and groundwater use components with increased stream seepage and streamflows influencing surface-water deliveries and return flows. In the Central Valley model, land subsidence may significantly degrade the ability of the major canals to deliver surface water from the Delta to the San Joaquin and Tulare basins. Subsidence can also affect irrigation demand and ETgw, which, along with altered surface-water supplies, causes a feedback response resulting in changed estimates of groundwater pumping for irrigation. This modeling feature also may improve the impact assessment of dewatering-induced land subsidence/uplift (following irrigation pumping or coal-seam gas extraction) on surface receptors, inter-basin transfers, and surface infrastructure integrity.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-372-449-2015","usgsCitation":"Hanson, R.T., Traum, J.A., Boyce, S.E., Schmid, W., and Hughes, J.D., 2015, Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM: Proceedings of the International Association of Hydrological Sciences, v. 372, p. 449-453, https://doi.org/10.5194/piahs-372-449-2015.","productDescription":"5 p.","startPage":"449","endPage":"453","ipdsId":"IP-065067","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-372-449-2015","text":"Publisher Index Page"},{"id":333531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d00231637794","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":654473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171345,"text":"70171345 - 2015 - Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds","interactions":[],"lastModifiedDate":"2016-05-30T13:34:56","indexId":"70171345","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds","docAbstract":"This study investigated the relationships between behavioural responses of Atlantic salmon Salmo salarsmolts to saltwater (SW) exposure and physiological characteristics of smolts in laboratory experiments. It concurrently described the behaviour of acoustically tagged smolts with respect to SW and tidal cycles during estuary migration. Salmo salar smolts increased their use of SW relative to fresh water (FW) from April to June in laboratory experiments. Mean preference for SW never exceeded 50% of time in any group. Preference for SW increased throughout the course of smolt development. Maximum continuous time spent in SW was positively related to gill Na+, K+-ATPase (NKA) activity and osmoregulatory performance in full-strength SW (measured as change in gill NKA activity and plasma osmolality). Smolts decreased depth upon reaching areas of the Penobscot Estuary where SW was present, and all fish became more surface oriented during passage from head of tide to the ocean. Acoustically tagged, migrating smolts with low gill NKA activity moved faster in FW reaches of the estuary than those with higher gill NKA activity. There was no difference in movement rate through SW reaches of the estuary based on gill NKA activity. Migrating fish moved with tidal flow during the passage of the lower estuary based on the observed patterns in both vertical and horizontal movements. The results indicate that smolts select low-salinity water during estuary migration and use tidal currents to minimize energetic investment in seaward migration. Seasonal changes in osmoregulatory ability highlight the importance of the timing of stocking and estuary arrival.
","language":"English","publisher":"The Fisheries Society of the British Isles","doi":"10.1111/jfb.12853","usgsCitation":"Stich, D., Zydlewski, G., and Zydlewski, J.D., 2015, Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds: Journal of Fish Biology, v. 88, no. 2, p. 595-617, https://doi.org/10.1111/jfb.12853.","productDescription":"24 p.","startPage":"595","endPage":"617","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060915","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"574d65fce4b07e28b6684a0c","contributors":{"authors":[{"text":"Stich, D.S.","contributorId":169719,"corporation":false,"usgs":false,"family":"Stich","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":630819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, G.B.","contributorId":78119,"corporation":false,"usgs":true,"family":"Zydlewski","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":630820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174156,"text":"70174156 - 2015 - A replication of a factor analysis of motivations for trapping","interactions":[],"lastModifiedDate":"2016-09-08T10:51:49","indexId":"70174156","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"A replication of a factor analysis of motivations for trapping","docAbstract":"Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998). We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2015.1027974","usgsCitation":"Schroeder, S., and Fulton, D.C., 2015, A replication of a factor analysis of motivations for trapping: Human Dimensions of Wildlife, v. 20, no. 3, p. 280-283, https://doi.org/10.1080/10871209.2015.1027974.","productDescription":"4 p.","startPage":"280","endPage":"283","ipdsId":"IP-061711","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":328359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28babe4b0571647d0f920","contributors":{"authors":[{"text":"Schroeder, Susan","contributorId":174474,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan","affiliations":[],"preferred":false,"id":648329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":641003,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175740,"text":"70175740 - 2015 - Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","interactions":[],"lastModifiedDate":"2016-08-31T11:31:15","indexId":"70175740","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","docAbstract":"The Mid-Atlantic region hosts some of the most mature karst landscapes in North America, developed in highly deformed rocks within the Piedmont and Valley and Ridge physiographic provinces. This guide describes a three-day excursion to examine karst development in various carbonate rocks by following Interstate 70 west from Baltimore across the eastern Piedmont, across the Frederick Valley, and into the Great Valley proper. The localities were chosen in order to examine the structural and lithological controls on karst feature development in marble, limestone, and dolostone rocks with an eye toward the implications for ancient landscape evolution, as well as for modern subsidence hazards. A number of caves will be visited, including two commercial caverns that reveal strikingly different histories of speleogenesis. Links between karst landscape development, hydrologic dynamics, and water resource sustainability will also be emphasized through visits to locally important springs. Recent work on quantitative dye tracing, spring water geochemistry, and groundwater modeling reveal the interaction between shallow and deep circulation of groundwater that has given rise to the modern karst landscape. Geologic and karst feature mapping conducted with the benefit of lidar data help reveal the strong bedrock structural controls on karst feature development, and illustrate the utility of geologic maps for assessment of sinkhole susceptibility.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.0040(11)","usgsCitation":"Doctor, D.H., Weary, D.J., Brezinski, D.K., Orndorff, R.C., and Spangler, L.E., 2015, Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia, chap. of Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015, v. 40, p. 425-484, https://doi.org/10.1130/2015.0040(11).","productDescription":"60 p.","startPage":"425","endPage":"484","ipdsId":"IP-066715","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc29e","contributors":{"editors":[{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647612,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Halka, Jeffrey","contributorId":96033,"corporation":false,"usgs":true,"family":"Halka","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":647613,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Ortt, Richard A. Jr.","contributorId":174166,"corporation":false,"usgs":false,"family":"Ortt","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":646260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175733,"text":"70175733 - 2015 - Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","interactions":[],"lastModifiedDate":"2016-08-31T11:35:46","indexId":"70175733","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","docAbstract":"Caves provide direct access to flows through the vadose zone that recharge karst aquifers. Although many recent studies have documented the highly dynamic processes associated with vadose zone flows in karst settings, few have been conducted in mantled karst settings, such as that of southeastern Minnesota. Here we present some results of a long-term program of cave drip monitoring conducted within Mystery Cave, Minnesota. In this study, two perennial ceiling drip sites were monitored between 1997 and 2001. The sites were located about 90 m (300 ft) apart along the same cave passage approximately 18 m (60 ft) below the surface; 7 to 9 m (20 to 30 ft) of loess and 12 m (40 ft) of flat-lying carbonate bedrock strata overlie the cave. Records of drip rate, electrical conductivity, and water temperature were obtained at 15 minute intervals, and supplemented with periodic sampling for major ion chemistry and water stable isotopes. Patterns in flow and geochemistry emerged at each of the two drip sites that were repeated year after year. Although one site responded relatively quickly (within 2-7 hours) to surface recharge events while the other responded more slowly (within 2-5 days), thresholds of antecedent moisture needed to be overcome in order to produce a discharge response at both sites. The greatest amount of flow was observed at both sites during the spring snowmelt period. Rainfall events less than 10 mm (0.4 in) during the summer months generally did not produce a drip discharge response, yet rapid drip responses were observed following intense storm events after periods of prolonged rainfall. The chemical data from both sites indicate that reservoirs of vadose zone water with distinct chemical signatures mixed during recharge events, and drip chemistry returned to a baseline composition during low flow periods. A reservoir with elevated chloride and sulfate concentrations impacts the slow-response drip site with each recharge event, but does not similarly affect the fast-response drip site. Nitrate concentrations in drip waters were generally less than 4.0 mg/L as NO3- (or less than 1 mg/L as N). Nitrate was either stable or slightly increased with drip rate at the fast-response drip site; in contrast, nitrate concentrations decreased with drip rate at the slow-response drip site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1023","usgsCitation":"Doctor, D.H., Alexander, E.C., Jameson, R.A., and Alexander, S.C., 2015, Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 19-30, https://doi.org/10.5038/9780991000951.1023.","productDescription":"12 p.","startPage":"19","endPage":"30","ipdsId":"IP-066732","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/Upper_Mississippi_Valley_Karst_Aquifers/3","text":"External Repository"},{"id":328118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb4e4b0f2f0cebfc275","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, E. Calvin Jr.","contributorId":173840,"corporation":false,"usgs":false,"family":"Alexander","given":"E.","suffix":"Jr.","email":"","middleInitial":"Calvin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jameson, Roy A.","contributorId":173841,"corporation":false,"usgs":false,"family":"Jameson","given":"Roy","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":646232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Scott C.","contributorId":173842,"corporation":false,"usgs":false,"family":"Alexander","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174828,"text":"70174828 - 2015 - Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","interactions":[],"lastModifiedDate":"2016-07-18T12:17:42","indexId":"70174828","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","docAbstract":"Historical lead and zinc mining in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of lead and zinc to the environment (Juracek, 2006; Juracek and Becker, 2009). In response to concern about the mining-related contamination, southeast Cherokee County, Kansas, was listed on the U.S. Environmental Protection Agency’s (USEPA) National Priority List as a Superfund hazardous waste site (fig. 1). To provide some of the information needed to support remediation efforts in the Cherokee County Superfund site, a study was begun in 2009 by the U.S. Geological Survey (USGS) that was requested and funded by USEPA. As part of the study, surficial-soil sampling was used to investigate the extent and magnitude of mining-related lead and zinc contamination in the flood plains of the Spring River and several tributaries within the Superfund site. In mining-affected areas, flood-plain soils had lead and zinc concentrations that far exceeded background levels as well as probable-effects guidelines for toxic aquatic biological effects (Juracek, 2013). Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.
\nAn important issue is the within-site representativeness of the surficial-soil samples collected. Specifically, the question is whether or not the samples collected provide an acceptable representation of the lead and zinc concentrations at each site for the purpose of characterizing and comparing sites. The distribution of mining-contaminated sediment on flood plains is determined by several factors including the size and density of the contaminated particles, flood-plain width and topography, flood characteristics (frequency, magnitude, duration), and fluvial geomorphic processes. To evaluate within-site representativeness, additional samples were simultaneously collected to assess within-site variability. In this paper, the specific objectives were to:
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