{"pageNumber":"1572","pageRowStart":"39275","pageSize":"25","recordCount":184553,"records":[{"id":70043288,"text":"70043288 - 2012 - Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","interactions":[],"lastModifiedDate":"2014-09-18T13:12:41","indexId":"70043288","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","docAbstract":"Investigating the relationship between factors (climate change, atmospheric CO<sub>2</sub> concentrations enrichment, and vegetation structure) and hydrological processes is important for understanding and predicting the interaction between the hydrosphere and biosphere. The Integrated Biosphere Simulator (IBIS) was used to evaluate the effects of climate change, rising CO<sub>2</sub>, and vegetation structure on hydrological processes in China at the end of the 21st century. Seven simulations were implemented using the assemblage of the IPCC climate and CO<sub>2</sub> concentration scenarios, SRES A2 and SRES B1. Analysis results suggest that (1) climate change will have increasing effects on runoff, evapotranspiration (ET), transpiration (T), and transpiration ratio (transpiration/evapotranspiration, T/E) in most hydrological regions of China except in the southernmost regions; (2) elevated CO<sub>2</sub> concentrations will have increasing effects on runoff at the national scale, but at the hydrological region scale, the physiology effects induced by elevated CO<sub>2</sub> concentration will depend on the vegetation types, climate conditions, and geographical background information with noticeable decreasing effects shown in the arid Inland region of China; (3) leaf area index (LAI) compensation effect and stomatal closure effect are the dominant factors on runoff in the arid Inland region and southern moist hydrological regions, respectively; (4) the magnitudes of climate change (especially the changing precipitation pattern) effects on the water cycle are much larger than those of the elevated CO<sub>2</sub> concentration effects; however, increasing CO<sub>2</sub> concentration will be one of the most important modifiers to the water cycle; (5) the water resource condition will be improved in northern China but depressed in southernmost China under the IPCC climate change scenarios, SRES A2 and SRES B1.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2011.10.010","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Fang, X., Wei, X., Liu, S., and Zhou, G., 2012, Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China: Global and Planetary Change, v. 80-81, p. 123-135, https://doi.org/10.1016/j.gloplacha.2011.10.010.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-028970","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2011.10.010"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"80-81","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc565e4b05ebc8f7cc129","contributors":{"authors":[{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":473294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":473292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":473291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Xiuqin","contributorId":96566,"corporation":false,"usgs":true,"family":"Fang","given":"Xiuqin","affiliations":[],"preferred":false,"id":473296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shirong","contributorId":54484,"corporation":false,"usgs":true,"family":"Liu","given":"Shirong","affiliations":[],"preferred":false,"id":473293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":85861,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","affiliations":[],"preferred":false,"id":473295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003596,"text":"70003596 - 2012 - Estimating and predicting collection probability of fish at dams using multistate modeling","interactions":[],"lastModifiedDate":"2013-06-10T08:56:00","indexId":"70003596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and predicting collection probability of fish at dams using multistate modeling","docAbstract":"Dams can be equipped with a bypass that routes a portion of the fish that enter the turbine intakes away\nfrom the powerhouse into flumes, where they can be counted. Daily passage abundance can be estimated by dividing\nthe number of fish counted in the bypass by the sampling rate and then dividing the resulting quotient by\nthe collection probability (i.e., the proportion of the fish population passing the dam that is bypassed). We used\nmultistate mark–recapture modeling to evaluate six candidate models for predicting the collection probabilities of\nradio-tagged subyearling fall Chinook salmon (n = 3,852) as a function of 1–2-d time periods (general model), four\ndifferent combinations of outflow (i.e., the total volume of water passing the dam) and turbine allocation (i.e., the\nproportion of outflow directed through the turbines), and a null (intercept only) model. The best-fit model was\nthe additive combination of turbine allocation and outflow, which explained 71% of the null deviance. Cross validation\nof the best-fit model accounted for the variation that may arise from different data sets and the ensuing\nparameter values on the collection probability estimates and yielded a standard error of 0.613 that can be used to\nconstruct approximate 95% prediction intervals in nonstudy years. Such estimates have been unavailable and will\nbe useful anywhere estimates of daily passage abundance at dams with bypasses are needed to manage migratory\nfishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.694828","usgsCitation":"Plumb, J.M., Connor, W.P., Tiffan, K.F., Moffitt, C.M., Perry, R.W., and Adams, N.S., 2012, Estimating and predicting collection probability of fish at dams using multistate modeling: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1364-1373, https://doi.org/10.1080/00028487.2012.694828.","productDescription":"10 p.","startPage":"1364","endPage":"1373","ipdsId":"IP-028831","costCenters":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273463,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.694828"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5aa","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":347882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003678,"text":"70003678 - 2012 - How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry","interactions":[],"lastModifiedDate":"2013-03-21T10:57:22","indexId":"70003678","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1755,"text":"Geochemical Transactions","active":true,"publicationSubtype":{"id":10}},"title":"How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry","docAbstract":"Background -\n\nAlthough uniquely capable of measuring multiple redox constituents nearly simultaneously with no or minimal sample pretreatment, voltammetry is currently underutilized in characterizing redox conditions in aquatic and terrestrial systems. Investigation of undisturbed media such as pore water requires a solid-state electrode, and such electrodes can be difficult to fabricate reproducibly. An approach to determine the concentrations of electroactive constituents using indirectly calibrated electrodes has been developed, but the protocol for and accuracy of this approach—the pilot ion method—has not been documented in detail.\nResults - \n\nA detailed procedure for testing electrode quality is provided, and the application and limitations of the pilot ion method have been documented. To quantify Fe(II) and Mn(II), subtraction of non-linear baseline functions from voltammetric signals produced better calibration curves than did linear baselines, enabled lower detection limits and reliable deconvolution of overlapping signals, and was successfully applied to sediment pore water signals. We observed that electrode sensitivities often vary by tens of percent, and that the sensitivity declines over time. The ratio of calibration slopes of Mn(II) to Fe(II) varied by no more than 11% from one Hg/Au electrode to another and Fe(II) concentrations predicted by the Mn(II) pilot ion were, on average, 13% different from their actual values. However, concentration predictions by the pilot ion method were worse for less than 15 μM Fe(II) (46% different on average). The ratio of calibration slopes of Mn(II) to S(−II) varied by almost 20% from one Hg/Au electrode to another, and S(−II) predicted concentrations were as much as 58% different from their actual values. These predictions of Fe(II) and S(−II) concentrations indicate that the accuracy of the pilot ion method depends on how independent calibration slope ratios are from the electrode used. At medium-to-high concentration for the ocean, naturally derived dissolved organic carbon did not significantly affect the baseline-corrected electrode response of Mn(II) and Fe(II), but did significantly affect the response of S(−II).\nConclusions -\n\nDespite their intrinsic variability, Hg/Au electrodes fabricated by hand can be used to quantify O2, S(−II), Fe(II), and Mn(II) without calibrating every electrode for every constituent of interest. The pilot ion method can achieve accuracies to within 20% or less, provided that the underlying principle—the independence of slope ratios—is demonstrated for all voltammetric techniques used, and effects of the physicochemical properties of the system on voltammetric signals are addressed through baseline subtraction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemical Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Reston, VA","doi":"10.1186/1467-4866-13-6","usgsCitation":"Slowey, A.J., and Marvin-DiPasquale, M., 2012, How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry: Geochemical Transactions, v. 13, no. 6, 20 p., https://doi.org/10.1186/1467-4866-13-6.","productDescription":"20 p.","ipdsId":"IP-026570","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1467-4866-13-6","text":"Publisher Index Page"},{"id":269848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1467-4866-13-6"},{"id":269849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-25","publicationStatus":"PW","scienceBaseUri":"514c2be6e4b0cf4196fef30c","contributors":{"authors":[{"text":"Slowey, Aaron J.","contributorId":30706,"corporation":false,"usgs":true,"family":"Slowey","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":348299,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003595,"text":"70003595 - 2012 - Using the internet to understand angler behavior in the information age","interactions":[],"lastModifiedDate":"2013-06-07T10:38:06","indexId":"70003595","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Using the internet to understand angler behavior in the information age","docAbstract":"Declining participation in recreational angling is of great concern to fishery managers because fishing license sales are an important revenue source for protection of aquatic resources. This decline is frequently attributed, in part, to increased societal reliance on electronics. Internet use by anglers is increasing and fishery managers may use the Internet as a unique means to increase angler participation. We examined Internet search behavior using Google Insights for Search, a free online tool that summarizes Google searches from 2004 to 2011 to determine (1) trends in Internet search volume for general fishing related terms and (2) the relative usefulness of terms related to angler recruitment programs across the United States. Though search volume declined for general fishing terms (e.g., fishing, fishing guide), search volume increased for social media and recruitment terms (e.g., fishing forum, family fishing) over the 7-year period. We encourage coordinators of recruitment programs to capitalize on anglers’ Internet usage by considering Internet search patterns when creating web-based information. Careful selection of terms used in web-based information to match those currently searched by potential anglers may help to direct traffic to state agency websites that support recruitment efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2012.722875","usgsCitation":"Martin, D., Pracheil, B.M., DeBoer, J.A., Wilde, G.R., and Pope, K.L., 2012, Using the internet to understand angler behavior in the information age: Fisheries, v. 37, no. 10, p. 458-463, https://doi.org/10.1080/03632415.2012.722875.","productDescription":"6 p.","startPage":"458","endPage":"463","ipdsId":"IP-028800","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273439,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2012.722875"}],"volume":"37","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-11","publicationStatus":"PW","scienceBaseUri":"51b300e9e4b01368e589e410","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":347875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pracheil, Brenda M.","contributorId":6361,"corporation":false,"usgs":true,"family":"Pracheil","given":"Brenda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":347874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilde, Gene R.","contributorId":48467,"corporation":false,"usgs":true,"family":"Wilde","given":"Gene","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":347872,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040151,"text":"70040151 - 2012 - Changing restoration rules: exotic bivalves interact with residence time and depth to control phytoplankton productivity","interactions":[],"lastModifiedDate":"2013-03-21T15:16:32","indexId":"70040151","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Changing restoration rules: exotic bivalves interact with residence time and depth to control phytoplankton productivity","docAbstract":"Non-native species are a prevalent ecosystem stressor that can interact with other stressors to confound resource management and restoration. We examine how interactions between physical habitat attributes and a particular category of non-native species (invasive bivalves) influence primary production in aquatic ecosystems. Using mathematical models, we show how intuitive relationships between phytoplankton productivity and controllable physical factors (water depth, hydraulic transport time) that hold in the absence of bivalves can be complicated—and even reversed—by rapid bivalve grazing. In light-limited environments without bivalves, shallow, hydrodynamically “slow” habitats should generally have greater phytoplankton biomass and productivity than deeper, “faster” habitats. But shallower, slower environments can be less productive than deeper, faster ones if benthic grazing is strong. Moreover, shallower and slower waters exhibit a particularly broad range of possible productivity outcomes that can depend on whether bivalves are present. Since it is difficult to predict the response of non-native bivalves to habitat restoration, outcomes for new shallow, slow environments can be highly uncertain. Habitat depth and transport time should therefore not be used as indicators of phytoplankton biomass and production where bivalve colonization is possible. This study provides for ecosystem management a particular example of a broad lesson: abiotic ecosystem stressors should be managed with explicit consideration of interactions with other major (including biotic) stressors. We discuss the applicability and management implications of our models and results for a range of aquatic system types, with a case study focused on the Sacramento-San Joaquin Delta (California, USA). Simple mathematical models like those used here can illuminate interactions between ecosystem stressors and provide process-based guidance for resource managers as they develop strategies to augment valued populations, restore habitats, and manipulate ecosystem functions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/ES12-00251.1","usgsCitation":"Lucas, L.V., and Thompson, J.K., 2012, Changing restoration rules: exotic bivalves interact with residence time and depth to control phytoplankton productivity: Ecosphere, v. 3, no. 12, Article 117, https://doi.org/10.1890/ES12-00251.1.","productDescription":"Article 117","ipdsId":"IP-040335","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es12-00251.1","text":"Publisher Index Page"},{"id":269863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269862,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES12-00251.1"}],"volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"514c2be2e4b0cf4196fef2f9","contributors":{"authors":[{"text":"Lucas, Lisa V.","contributorId":80992,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":467775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":467774,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038250,"text":"70038250 - 2012 - Application of radiotelemetry to wildlife conservation in mountainous Asian landscapes","interactions":[],"lastModifiedDate":"2013-03-19T14:27:08","indexId":"70038250","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of radiotelemetry to wildlife conservation in mountainous Asian landscapes","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife Research Techniques in Rugged Mountainous Asian Landscapes","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Ugyen Wangchuck Institute for Conservation and Environment","publisherLocation":"Bhutan","usgsCitation":"Mitchell, M., Rich, L., and Mills, L.S., 2012, Application of radiotelemetry to wildlife conservation in mountainous Asian landscapes, chap. <i>of</i> Wildlife Research Techniques in Rugged Mountainous Asian Landscapes, p. 100-137.","productDescription":"38 p.","startPage":"100","endPage":"137","ipdsId":"IP-037681","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":269714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514988e3e4b0971933f6365b","contributors":{"authors":[{"text":"Mitchell, M.S.","contributorId":26724,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":463738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rich, L.N.","contributorId":27497,"corporation":false,"usgs":true,"family":"Rich","given":"L.N.","email":"","affiliations":[],"preferred":false,"id":463739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, L. S.","contributorId":100318,"corporation":false,"usgs":false,"family":"Mills","given":"L.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":463740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042289,"text":"70042289 - 2012 - Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake","interactions":[],"lastModifiedDate":"2013-03-13T19:25:48","indexId":"70042289","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake","docAbstract":"The 2003 M 6.5 San Simeon, California, earthquake caused significant damage in the city of Paso Robles and a persistent cluster of aftershocks close to Paso Robles near the Rinconada fault. Given the importance of secondary aftershock triggering in sequences of large events, a concern is whether this cluster of events could trigger another damaging earthquake near Paso Robles. An epidemic‐type aftershock sequence (ETAS) model is fit to the Rinconada seismicity, and multiple realizations indicate a 0.36% probability of at least one M≥6.0 earthquake during the next 30 years. However, this probability estimate is only as good as the projection into the future of the ETAS model. There is evidence that the seismicity may be influenced by fluid pressure changes, which cannot be forecasted using ETAS. The strongest evidence for fluids is the delay between the San Simeon mainshock and a high rate of seismicity in mid to late 2004. This delay can be explained as having been caused by a pore pressure decrease due to an undrained response to the coseismic dilatation, followed by increased pore pressure during the return to equilibrium. Seismicity migration along the fault also suggests fluid involvement, although the migration is too slow to be consistent with pore pressure diffusion. All other evidence, including focal mechanisms and b‐value, is consistent with tectonic earthquakes. This suggests a model where the role of fluid pressure changes is limited to the first seven months, while the fluid pressure equilibrates. The ETAS modeling adequately fits the events after July 2004 when the pore pressure stabilizes. The ETAS models imply that while the probability of a damaging earthquake on the Rinconada fault has approximately doubled due to the San Simeon earthquake, the absolute probability remains low.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110169","usgsCitation":"Hardebeck, J.L., 2012, Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 377-390, https://doi.org/10.1785/0120110169.","productDescription":"14 p.","startPage":"377","endPage":"390","ipdsId":"IP-030353","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":269280,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110169"},{"id":269281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"51419ff9e4b0eefcba208d9a","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471216,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042287,"text":"70042287 - 2012 - The resilience and functional role of moss in boreal and arctic ecosystems","interactions":[],"lastModifiedDate":"2013-03-13T19:12:29","indexId":"70042287","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"The resilience and functional role of moss in boreal and arctic ecosystems","docAbstract":"Mosses in northern ecosystems are ubiquitous components of plant communities, and strongly influence nutrient, carbon and water cycling. We use literature review, synthesis and model simulations to explore the role of mosses in ecological stability and resilience. Moss community responses to disturbance showed all possible responses (increases, decreases, no change) within most disturbance categories. Simulations from two process-based models suggest that northern ecosystems would need to experience extreme perturbation before mosses were eliminated. But simulations with two other models suggest that loss of moss will reduce soil carbon accumulation primarily by influencing decomposition rates and soil nitrogen availability. It seems clear that mosses need to be incorporated into models as one or more plant functional types, but more empirical work is needed to determine how to best aggregate species. We highlight several issues that have not been adequately explored in moss communities, such as functional redundancy and singularity, relationships between response and effect traits, and parameter vs conceptual uncertainty in models. Mosses play an important role in several ecosystem processes that play out over centuries – permafrost formation and thaw, peat accumulation, development of microtopography – and there is a need for studies that increase our understanding of slow, long-term dynamical processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1469-8137.2012.04254.x","usgsCitation":"Turetsky, M., Bond-Lamberty, B., Euskirchen, E., Talbot, J.J., Frolking, S., McGuire, A., and Tuittila, E., 2012, The resilience and functional role of moss in boreal and arctic ecosystems: New Phytologist, v. 196, no. 1, p. 49-67, https://doi.org/10.1111/j.1469-8137.2012.04254.x.","productDescription":"19 p.","startPage":"49","endPage":"67","ipdsId":"IP-037711","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1469-8137.2012.04254.x","text":"Publisher Index Page"},{"id":269278,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-8137.2012.04254.x"},{"id":269279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-24","publicationStatus":"PW","scienceBaseUri":"5141a016e4b0eefcba208e3a","contributors":{"authors":[{"text":"Turetsky, M.","contributorId":108302,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.","affiliations":[],"preferred":false,"id":471214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond-Lamberty, B.","contributorId":74269,"corporation":false,"usgs":true,"family":"Bond-Lamberty","given":"B.","affiliations":[],"preferred":false,"id":471212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":471210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, J. J.","contributorId":21045,"corporation":false,"usgs":false,"family":"Talbot","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frolking, S.","contributorId":96565,"corporation":false,"usgs":true,"family":"Frolking","given":"S.","affiliations":[],"preferred":false,"id":471213,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":471208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tuittila, E.S.","contributorId":51180,"corporation":false,"usgs":true,"family":"Tuittila","given":"E.S.","affiliations":[],"preferred":false,"id":471211,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042320,"text":"70042320 - 2012 - A prototype splitter apparatus for dividing large catches of small fish","interactions":[],"lastModifiedDate":"2013-02-26T19:55:46","indexId":"70042320","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A prototype splitter apparatus for dividing large catches of small fish","docAbstract":"Due to financial and time constraints, it is often necessary in fisheries studies to divide large samples of fish and estimate total catch from the subsample. The subsampling procedure may involve potential human biases or may be difficult to perform in rough conditions. We present a prototype gravity-fed splitter apparatus for dividing large samples of small fish (30–100 mm TL). The apparatus features a tapered hopper with a sliding and removable shutter. The apparatus provides a comparatively stable platform for objectively obtaining subsamples, and it can be modified to accommodate different sizes of fish and different sample volumes. The apparatus is easy to build, inexpensive, and convenient to use in the field. To illustrate the performance of the apparatus, we divided three samples (total <i>N</i> = 2,000 fish) composed of four fish species. Our results indicated no significant bias in estimating either the number or proportion of each species from the subsample. Use of this apparatus or a similar apparatus can help to standardize subsampling procedures in large surveys of fish. The apparatus could be used for other applications that require dividing a large amount of material into one or more smaller subsamples.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2012.716018","usgsCitation":"Stapanian, M.A., and Edwards, W.H., 2012, A prototype splitter apparatus for dividing large catches of small fish: North American Journal of Fisheries Management, v. 32, no. 6, p. 1033-1038, https://doi.org/10.1080/02755947.2012.716018.","productDescription":"6 p.","startPage":"1033","endPage":"1038","ipdsId":"IP-039007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.716018"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-04","publicationStatus":"PW","scienceBaseUri":"53cd4a63e4b0b290850efbe8","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":471271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042325,"text":"70042325 - 2012 - Enterococci in the environment","interactions":[],"lastModifiedDate":"2020-09-11T18:01:45.393699","indexId":"70042325","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2730,"text":"Microbiology and Molecular Biology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Enterococci in the environment","docAbstract":"<p><span>Enterococci are common, commensal members of gut communities in mammals and birds, yet they are also opportunistic pathogens that cause millions of human and animal infections annually. Because they are shed in human and animal feces, are readily culturable, and predict human health risks from exposure to polluted recreational waters, they are used as surrogates for waterborne pathogens and as fecal indicator bacteria (FIB) in research and in water quality testing throughout the world. Evidence from several decades of research demonstrates, however, that enterococci may be present in high densities in the absence of obvious fecal sources and that environmental reservoirs of these FIB are important sources and sinks, with the potential to impact water quality. This review focuses on the distribution and microbial ecology of enterococci in environmental (secondary) habitats, including the effect of environmental stressors; an outline of their known and apparent sources, sinks, and fluxes; and an overview of the use of enterococci as FIB. Finally, the significance of emerging methodologies, such as microbial source tracking (MST) and empirical predictive models, as tools in water quality monitoring is addressed. The mounting evidence for widespread extraenteric sources and reservoirs of enterococci demonstrates the versatility of the genus&nbsp;</span><i><span id=\"named-content-3\" class=\"named-content genus-species\">Enterococcus</span></i><span>&nbsp;and argues for the necessity of a better understanding of their ecology in natural environments, as well as their roles as opportunistic pathogens and indicators of human pathogens.</span></p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/MMBR.00023-12","usgsCitation":"Byappanahalli, M., Nevers, M.B., Korajkic, A., Staley, Z.R., and Harwood, V.J., 2012, Enterococci in the environment: Microbiology and Molecular Biology Reviews, v. 76, no. 4, p. 685-706, https://doi.org/10.1128/MMBR.00023-12.","productDescription":"22 p.","startPage":"685","endPage":"706","ipdsId":"IP-039003","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":474322,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/mmbr.00023-12","text":"External Repository"},{"id":268799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513721fae4b02ab8869bffcd","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korajkic, Asja","contributorId":93359,"corporation":false,"usgs":true,"family":"Korajkic","given":"Asja","email":"","affiliations":[],"preferred":false,"id":471278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Zachery R.","contributorId":82593,"corporation":false,"usgs":true,"family":"Staley","given":"Zachery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harwood, Valerie J.","contributorId":66567,"corporation":false,"usgs":true,"family":"Harwood","given":"Valerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471275,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044818,"text":"70044818 - 2012 - Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks","interactions":[],"lastModifiedDate":"2020-09-14T14:53:13.071776","indexId":"70044818","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks","docAbstract":"<p>The Blackbird district, east-central Idaho, contains the largest known Co reserves in the United States. The origin of strata-hosted Co-Cu ± Au mineralization at Blackbird has been a matter of controversy for decades. In order to differentiate among possible genetic models for the deposits, including various combinations of volcanic, sedimentary, magmatic, and metamorphic processes, we used U-Pb geochronology of xenotime, monazite, and zircon to establish time constraints for ore formation. New age data reported here were obtained using sensitive high resolution ion microprobe (SHRIMP) microanalysis of (1) detrital zircons from a sample of Mesoproterozoic siliciclastic metasedimentary country rock in the Blackbird district, (2) igneous zircons from Mesoproterozoic intrusions, and (3) xenotime and monazite from the Merle and Sunshine prospects at Blackbird.</p><p>Detrital zircon from metasandstone of the biotite phyllite-schist unit has ages mostly in the range of 1900 to 1600 Ma, plus a few Neoarchean and Paleoproterozoic grains. Age data for the six youngest grains form a coherent group at 1409 ± 10 Ma, regarded as the maximum age of deposition of metasedimentary country rocks of the central structural domain. Igneous zircons from nine samples of megacrystic granite, granite augen gneiss, and granodiorite augen gneiss that crop out north and east of the Blackbird district yield ages between 1383 ± 4 and 1359 ± 7 Ma. Emplacement of the Big Deer Creek megacrystic granite (1377 ± 4 Ma), structurally juxtaposed with host rocks in the Late Cretaceous ca. 5 km north of Blackbird, may have been involved in initial deposition of rare earth elements (REE) minerals and, possibly, sulfides.</p><p>In situ SHRIMP ages of xenotime and monazite in Co-rich samples from the Merle and Sunshine prospects, plus backscattered electron imagery and SHRIMP analyses of trace elements, indicate a complex sequence of Mesoproterozoic and Cretaceous events. On the basis of textural relationships observed in thin section, xeno-time and cobaltite formed during multiple episodes. The oldest age for xenotime (1370 ± 4 Ma), determined on oscillatory-zoned cores, may date the time of initial cobaltite formation, and provides a minimum age for the host metasedimentary rocks. Additional Proterozoic xenotime growth events occurred at 1315 to 1270 Ma and ca. 1050 Ma. Other xenotime grains and rims grew in conjunction with cobaltite during Cretaceous metamorphism. However, ages of these growth episodes cannot be precisely determined due to matrix effects on<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U data for xenotime. Monazite, some of which encloses cobaltite, uniformly has Cretaceous ages that mainly are 110 ± 3 and 92 ± 5 Ma. These data indicate that xenotime, monazite, and cobaltite were extensively mobilized and precipitated during Middle to Late Cretaceous metamorphic events.</p>","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.6.1143","usgsCitation":"Aleinikoff, J.N., Slack, J.F., Lund, K., Evans, K.V., Fanning, C., Mazdab, F.K., Wooden, J., and Pillers, R.M., 2012, Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks: Economic Geology, v. 107, no. 6, p. 1143-1175, https://doi.org/10.2113/econgeo.107.6.1143.","productDescription":"33 p.","startPage":"1143","endPage":"1175","ipdsId":"IP-021616","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":271334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Blackbird District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.82635498046875,\n              44.98034238084973\n            ],\n            [\n              -114.20562744140625,\n              44.98034238084973\n            ],\n            [\n              -114.20562744140625,\n              45.40037851725538\n            ],\n            [\n              -114.82635498046875,\n              45.40037851725538\n            ],\n            [\n              -114.82635498046875,\n              44.98034238084973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"51765be1e4b0f989f99e00ad","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":476366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":476367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":476365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. Mark","contributorId":46814,"corporation":false,"usgs":true,"family":"Fanning","given":"C. Mark","affiliations":[],"preferred":false,"id":476372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazdab, Frank K.","contributorId":37468,"corporation":false,"usgs":true,"family":"Mazdab","given":"Frank","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":476370,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476369,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70042484,"text":"70042484 - 2012 - Source characterization of near-surface chemical explosions at SAFOD","interactions":[],"lastModifiedDate":"2013-03-26T15:57:09","indexId":"70042484","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Source characterization of near-surface chemical explosions at SAFOD","docAbstract":"A series of near‐surface chemical explosions conducted at the San Andreas Fault Observatory at Depth (SAFOD) main hole were recorded by high‐frequency downhole receiver arrays in April 2005. These seismic recordings at depths ranging from the surface to 2.3 km constrain the shallow velocity and attenuation structure as well as the first‐order characteristics of the source. Forward modeling of the explosions indicates that a source consisting of combined explosion, delayed implosion, and second‐order moment‐tensor components (corresponding to a distribution of vertical shear dislocations in the rock directly above the explosion) is sufficient to characterize the generated seismic wave fields to first order. Grid searches over source parameters controlling the nonexplosive components allow for the quantification of distributed vertical shear above the source and the estimation of the moment and time delay of the implosive component relative to the explosion. An estimated implosive to explosive moment ratio of 0.34 to 0.43 indicates a net static moment and positive macroscopic volume change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110201","usgsCitation":"Pollitz, F., Rubinstein, J., and Ellsworth, W., 2012, Source characterization of near-surface chemical explosions at SAFOD: Bulletin of the Seismological Society of America, v. 102, no. 4, p. 1348-1360, https://doi.org/10.1785/0120110201.","productDescription":"13 p.","startPage":"1348","endPage":"1360","ipdsId":"IP-030810","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":270219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270218,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110201"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.0,42.0 ], [ -114.0,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-08","publicationStatus":"PW","scienceBaseUri":"5152c3b6e4b01197b08e9d08","contributors":{"authors":[{"text":"Pollitz, Fred F.","contributorId":54029,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","affiliations":[],"preferred":false,"id":471618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubinstein, Justin","contributorId":64122,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","affiliations":[],"preferred":false,"id":471619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William","contributorId":86445,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","affiliations":[],"preferred":false,"id":471620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042544,"text":"70042544 - 2012 - Fixed recurrence and slip models better predict earthquake behavior than the time- and slip-predictable models 1: repeating earthquakes","interactions":[],"lastModifiedDate":"2013-03-14T11:04:10","indexId":"70042544","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Fixed recurrence and slip models better predict earthquake behavior than the time- and slip-predictable models 1: repeating earthquakes","docAbstract":"The behavior of individual events in repeating earthquake sequences in California, Taiwan and Japan is better predicted by a model with fixed inter-event time or fixed slip than it is by the time- and slip-predictable models for earthquake occurrence. Given that repeating earthquakes are highly regular in both inter-event time and seismic moment, the time- and slip-predictable models seem ideally suited to explain their behavior. Taken together with evidence from the companion manuscript that shows similar results for laboratory experiments we conclude that the short-term predictions of the time- and slip-predictable models should be rejected in favor of earthquake models that assume either fixed slip or fixed recurrence interval. This implies that the elastic rebound model underlying the time- and slip-predictable models offers no additional value in describing earthquake behavior in an event-to-event sense, but its value in a long-term sense cannot be determined. These models likely fail because they rely on assumptions that oversimplify the earthquake cycle. We note that the time and slip of these events is predicted quite well by fixed slip and fixed recurrence models, so in some sense they are time- and slip-predictable. While fixed recurrence and slip models better predict repeating earthquake behavior than the time- and slip-predictable models, we observe a correlation between slip and the preceding recurrence time for many repeating earthquake sequences in Parkfield, California. This correlation is not found in other regions, and the sequences with the correlative slip-predictable behavior are not distinguishable from nearby earthquake sequences that do not exhibit this behavior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JB008724","usgsCitation":"Rubinstein, J.L., Ellsworth, W.L., Chen, K., and Uchida, N., 2012, Fixed recurrence and slip models better predict earthquake behavior than the time- and slip-predictable models 1: repeating earthquakes: Journal of Geophysical Research B: Solid Earth, v. 117, no. B2, B02306, https://doi.org/10.1029/2011JB008724.","productDescription":"B02306","ipdsId":"IP-031495","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008724"}],"volume":"117","issue":"B2","noUsgsAuthors":false,"publicationDate":"2012-02-18","publicationStatus":"PW","scienceBaseUri":"5142f16fe4b073a963ff6582","contributors":{"authors":[{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Kate Huihsuan","contributorId":36430,"corporation":false,"usgs":true,"family":"Chen","given":"Kate Huihsuan","affiliations":[],"preferred":false,"id":471796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uchida, Naoki","contributorId":36408,"corporation":false,"usgs":true,"family":"Uchida","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":471795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173627,"text":"70173627 - 2012 - Evaluation of listener-based anuran surveys with automated audio recording devices","interactions":[],"lastModifiedDate":"2016-06-08T13:45:15","indexId":"70173627","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of listener-based anuran surveys with automated audio recording devices","docAbstract":"<p><span>Volunteer-based audio surveys are used to document long-term trends in anuran community composition and abundance. Current sampling protocols, however, are not region- or species-specific and may not detect relatively rare or audibly cryptic species. We used automated audio recording devices to record calling anurans during 2006&ndash;2009 at wetlands in Maine, USA. We identified species calling, chorus intensity, time of day, and environmental variables when each species was calling and developed logistic and generalized mixed models to determine the time interval and environmental variables that optimize detection of each species during peak calling periods. We detected eight of nine anurans documented in Maine. Individual recordings selected from the sampling period (0.5&nbsp;h past sunset to 0100&nbsp;h) described in the North American Amphibian Monitoring Program (NAAMP) detected fewer species than were detected in recordings from 30&nbsp;min past sunset until sunrise. Time of maximum detection of presence and full chorusing for three species (green frogs, mink frogs, pickerel frogs) occurred after the NAAMP sampling end time (0100&nbsp;h). The NAAMP protocol&rsquo;s sampling period may result in omissions and misclassifications of chorus sizes for certain species. These potential errors should be considered when interpreting trends generated from standardized anuran audio surveys.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0307-7","usgsCitation":"Shearin, A.F., Calhoun, A., and Loftin, C., 2012, Evaluation of listener-based anuran surveys with automated audio recording devices: Wetlands, v. 32, no. 4, p. 737-751, https://doi.org/10.1007/s13157-012-0307-7.","productDescription":"15 p.","startPage":"737","endPage":"751","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033007","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"575941e2e4b04f417c25683c","contributors":{"authors":[{"text":"Shearin, A. F.","contributorId":171583,"corporation":false,"usgs":false,"family":"Shearin","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, A.J.K.","contributorId":10909,"corporation":false,"usgs":true,"family":"Calhoun","given":"A.J.K.","email":"","affiliations":[],"preferred":false,"id":638000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, C.S.","contributorId":92771,"corporation":false,"usgs":true,"family":"Loftin","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":637420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173676,"text":"70173676 - 2012 - Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","interactions":[],"lastModifiedDate":"2016-06-07T15:11:01","indexId":"70173676","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast","docAbstract":"<p><span>Previous Mottled Duck (</span><i>Anas fulvigula</i><span>) studies suggested that high female breeding season survival may be caused by low nesting effort, but few breeding season estimates of survival associated with nesting effort exist on the western Gulf Coast. Here, breeding season survival (N = 40) and breeding incidence (N = 39) were estimated for female Mottled Ducks on the upper Texas coast, 2006&ndash;2008. Females were fitted with backpack radio transmitters and visually relocated every 3&ndash;4 days. Weekly survival was estimated using the Known Fate procedure of program MARK with breeding incidence estimated as the annual proportion of females observed nesting or with broods. The top-ranked survival model included a body mass covariate and held weekly female survival constant across weeks and years (S</span><sub>W</sub><span>&nbsp;= 0.986, SE = 0.006). When compared to survival across the entire year estimated from previous band recovery and age ratio analysis, survival rate during the breeding season did not differ. Breeding incidence was well below 100% in all years and highly variable among years (15%&ndash;63%). Breeding season survival and breeding incidence were similar to estimates obtained with implant transmitters from the mid-coast of Texas. The greatest breeding incidence for both studies occurred when drought indices indicated average environmental moisture during the breeding season. The observed combination of low breeding incidence and high breeding season survival support the hypothesis of a trade-off between the ecological cost of nesting effort and survival for Mottled Duck females. Habitat cues that trigger nesting are unknown and should be investigated.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0208","usgsCitation":"Rigby, E.A., and Haukos, D.A., 2012, Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast: Waterbirds, v. 35, no. 2, p. 260-269, https://doi.org/10.1675/063.035.0208.","productDescription":"10 p.","startPage":"260","endPage":"269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035536","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f02fe4b04f417c24da28","contributors":{"authors":[{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637484,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045089,"text":"70045089 - 2012 - Earthquake ground motion","interactions":[],"lastModifiedDate":"2022-12-27T16:48:21.799866","indexId":"70045089","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Earthquake ground motion","docAbstract":"Most of the effort in seismic design of buildings and other structures is focused on structural design. This chapter addresses another key aspect of the design process—characterization of earthquake ground motion. Section 3.1 describes the basis of the earthquake ground motion maps in the Provisions and in ASCE 7. Section 3.2 has examples for the determination of ground motion parameters and spectra for use in design. Section 3.3 discusses and provides an example for the selection and scaling of ground motion records for use in response history analysis.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2009 NEHRP Recommended Seismic Provisions: Design Examples (FEMA P-751)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"FEMA","usgsCitation":"Luco, N., Valley, M., and Crouse, C., 2012, Earthquake ground motion, chap. 3 <i>of</i> 2009 NEHRP Recommended Seismic Provisions: Design Examples (FEMA P-751), p. 3-1-3-28.","productDescription":"28 p.","startPage":"3-1","endPage":"3-28","ipdsId":"IP-034230","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411072,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.wbdg.org/ffc/dhs/criteria/fema-p-751","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e8e4b0ca1848338a3d","contributors":{"authors":[{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":476766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valley, Michael","contributorId":48464,"corporation":false,"usgs":true,"family":"Valley","given":"Michael","affiliations":[],"preferred":false,"id":476767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, C.B.","contributorId":76012,"corporation":false,"usgs":true,"family":"Crouse","given":"C.B.","affiliations":[],"preferred":false,"id":476768,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173629,"text":"70173629 - 2012 - Mercury bioaccumulation in wood frogs developing in seasonal pools","interactions":[],"lastModifiedDate":"2016-06-08T13:36:03","indexId":"70173629","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in wood frogs developing in seasonal pools","docAbstract":"<p><span>Seasonal woodland pools contribute significant biomass to terrestrial ecosystems through production of pool-breeding amphibians. The movement of amphibian metamorphs potentially transports toxins bioaccumulated during larval development in the natal pool into the surrounding terrestrial environment. We documented total mercury (THg) in seasonal woodland pool water, sediment, litter, and&nbsp;</span><i>Lithobates sylvaticus</i><span>&nbsp;LeConte (Wood Frog) in Acadia National Park, ME. THg concentrations in pool water varied over the study season, increasing during April&mdash;June and remaining high in 2 of 4 pools upon October refill. Water in pools surrounded by softwoods had lower pH, greater dissolved organic carbon, and greater THg concentrations than pools surrounded by hardwoods, with seasonal patterns in sediment THg but not litter THg. THg increased rapidly from near or below detection in 1&ndash;2 week old embryos (&lt;0.2 ng; 0&ndash;0.49 ppb wet weight) to 17.1&ndash;54.2 ppb in tadpoles within 6 weeks; 7.2&ndash;42.0% of THg was methyl Hg in tadpoles near metamorphosis. Metamorphs emigrating from seasonal pools may transfer mercury into terrestrial food webs.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.019.0404","usgsCitation":"Loftin, C., Calhoun, A.J., Nelson, S.J., Elskus, A., and Simon, K.S., 2012, Mercury bioaccumulation in wood frogs developing in seasonal pools: Northeastern Naturalist, v. 19, no. 4, p. 579-600, https://doi.org/10.1656/045.019.0404.","productDescription":"22 p.","startPage":"579","endPage":"600","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025519","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5759420fe4b04f417c2568ec","contributors":{"authors":[{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":637422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Sarah J.","contributorId":167269,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":637993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simon, Kevin S.","contributorId":169713,"corporation":false,"usgs":false,"family":"Simon","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173518,"text":"70173518 - 2012 - The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","interactions":[],"lastModifiedDate":"2016-06-16T13:44:11","indexId":"70173518","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","docAbstract":"<p><span>One of the pervasive challenges in landscape genetics is detecting gene flow patterns within continuous populations of highly mobile wildlife. Understanding population genetic structure within a continuous population can give insights into social structure, movement across the landscape and contact between populations, which influence ecological interactions, reproductive dynamics or pathogen transmission. We investigated the genetic structure of a large population of deer spanning the area of Wisconsin and Illinois, USA, affected by chronic wasting disease. We combined multiscale investigation, landscape genetic techniques and spatial statistical modelling to address the complex questions of landscape factors influencing population structure. We sampled over 2000 deer and used spatial autocorrelation and a spatial principal components analysis to describe the population genetic structure. We evaluated landscape effects on this pattern using a spatial autoregressive model within a model selection framework to test alternative hypotheses about gene flow. We found high levels of genetic connectivity, with gradients of variation across the large continuous population of white-tailed deer. At the fine scale, spatial clustering of related animals was correlated with the amount and arrangement of forested habitat. At the broader scale, impediments to dispersal were important to shaping genetic connectivity within the population. We found significant barrier effects of individual state and interstate highways and rivers. Our results offer an important understanding of deer biology and movement that will help inform the management of this species in an area where overabundance and disease spread are primary concerns.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2012.05681.x","usgsCitation":"Robinson, S.J., Samuel, M.D., Lopez, D.L., and Shelton, P., 2012, The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States: Molecular Ecology, v. 21, no. 17, p. 4190-4205, https://doi.org/10.1111/j.1365-294X.2012.05681.x.","productDescription":"16 p.","startPage":"4190","endPage":"4205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.977783203125,\n              41.918628865183045\n            ],\n            [\n              -90.977783203125,\n              43.731414013769\n            ],\n            [\n              -87.7642822265625,\n              43.731414013769\n            ],\n            [\n              -87.7642822265625,\n              41.918628865183045\n            ],\n            [\n              -90.977783203125,\n              41.918628865183045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"5763cdbae4b07657d19ba79a","contributors":{"authors":[{"text":"Robinson, Stacie J.","contributorId":172022,"corporation":false,"usgs":false,"family":"Robinson","given":"Stacie","email":"","middleInitial":"J.","affiliations":[{"id":12508,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, 1710 University Ave., Room 285, Madison, WI 53726, USA","active":true,"usgs":false}],"preferred":false,"id":637243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Davin L.","contributorId":171378,"corporation":false,"usgs":false,"family":"Lopez","given":"Davin","email":"","middleInitial":"L.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":637241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, Paul","contributorId":171375,"corporation":false,"usgs":false,"family":"Shelton","given":"Paul","email":"","affiliations":[{"id":26879,"text":"Illinois DNR, Springfield, IL","active":true,"usgs":false}],"preferred":false,"id":637242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154905,"text":"70154905 - 2012 - Response by anglers to a differential harvest regulation on three black bass species at Skiatook Lake, Oklahoma","interactions":[],"lastModifiedDate":"2015-09-16T09:45:21","indexId":"70154905","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Response by anglers to a differential harvest regulation on three black bass species at Skiatook Lake, Oklahoma","docAbstract":"<p>Angler responses to a differential harvest regulation on black bass, Micropterus spp. at Skiatook Lake, Oklahoma was assessed from 1997 to 1999. This regulation allowed anglers to harvest 15 spotted bass, M. punctulatus (Rafinesque) of any size and six largemouth bass, M. salmoides (Lacep&egrave;de) and smallmouth bass, M. dolomieu Lacep&egrave;de greater than 356 mm (in aggregate) per day. Anglers&rsquo; ability to differentiate spotted bass increased after the first year of the study, but their willingness to target or harvest spotted bass declined. Mean angler catch rates (number of fish per angling hour) for all three species remained steady throughout the study. Total harvest of largemouth bass and smallmouth bass was reduced by 1999 while total harvest of spotted bass remained steady throughout the study period. Despite the more liberal regulations as incentive, the regulation failed to accomplish the primary objective of increasing angler harvest of spotted bass because of high rates of voluntary catch and release.</p>","language":"English","publisher":"Oklahoma Academy of Science","publisherLocation":"Edmond, OK","usgsCitation":"Long, J.M., Hyler, R.G., and Fisher, W.L., 2012, Response by anglers to a differential harvest regulation on three black bass species at Skiatook Lake, Oklahoma: Proceedings of the Oklahoma Academy of Science, v. 92, p. 9-20.","productDescription":"12 p.","startPage":"9","endPage":"20","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1997-01-01","temporalEnd":"1999-12-31","ipdsId":"IP-023150","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":308160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306205,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ojs.library.okstate.edu/osu/index.php/OAS/issue/view/341"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Skiatook Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.21688842773438,\n              36.45884507478879\n            ],\n            [\n              -96.06857299804688,\n              36.35329209802049\n            ],\n            [\n              -96.12556457519531,\n              36.28136778049704\n            ],\n            [\n              -96.207275390625,\n              36.3488679027316\n            ],\n            [\n              -96.27525329589844,\n              36.34001875793732\n            ],\n            [\n              -96.29035949707031,\n              36.39586212000637\n            ],\n            [\n              -96.21688842773438,\n              36.45884507478879\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92d3e4b05d6c4e501acb","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hyler, Randy G.","contributorId":146208,"corporation":false,"usgs":false,"family":"Hyler","given":"Randy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":566615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, William L. wfisher@usgs.gov","contributorId":1229,"corporation":false,"usgs":true,"family":"Fisher","given":"William","email":"wfisher@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":566616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045588,"text":"70045588 - 2012 - Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","interactions":[],"lastModifiedDate":"2021-01-05T18:01:12.044462","indexId":"70045588","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","docAbstract":"We modeled the hydrology of basins draining into the northern portion of the San Francisco Bay Estuary (North San Pablo Bay) using a regional water balance model (Basin Characterization Model; BCM) to estimate potential effects of climate change at the watershed scale. The BCM calculates water balance components, including runoff, recharge, evapotranspiration, soil moisture, and stream flow, based on climate, topography, soils and underlying geology, and the solar-driven energy balance. We downscaled historical and projected precipitation and air temperature values derived from weather stations and global General Circulation Models (GCMs) to a spatial scale of 270 m. We then used the BCM to estimate hydrologic response to climate change for four scenarios spanning this century (2000–2100). Historical climate patterns show that Marin’s coastal regions are typically on the order of 2 °C cooler and receive five percent more precipitation compared to the inland valleys of Sonoma and Napa because of marine influences and local topography. By the last 30 years of this century, North Bay scenarios project average minimum temperatures to increase by 1.0 °C to 3.1 °C and average maximum temperatures to increase by 2.1 °C to 3.4 °C (in comparison to conditions experienced over the last 30 years, 1981–2010). Precipitation projections for the 21st century vary between GCMs (ranging from 2 to 15% wetter than the 20th-century average). Temperature forcing increases the variability of modeled runoff, recharge, and stream discharge, and shifts hydrologic cycle timing. For both high- and low-rainfall scenarios, by the close of this century warming is projected to amplify late-season climatic water deficit (a measure of drought stress on soils) by 8% to 21%. Hydrologic variability within a single river basin demonstrated at the scale of subwatersheds may prove an important consideration for water managers in the face of climate change. Our results suggest that in arid environments characterized by high topo-climatic variability, land and water managers need indicators of local watershed hydrology response to complement regional temperature and precipitation estimates. Our results also suggest that temperature forcing may generate greater drought stress affecting soils and stream flows than can be estimated by variability in precipitation alone.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss4art2","usgsCitation":"Micheli, E., Flint, L., Flint, A., Weiss, S., and Kennedy, M., 2012, Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study: San Francisco Estuary and Watershed Science, v. 10, no. 4, 31 p., https://doi.org/10.15447/sfews.2012v10iss4art2.","productDescription":"31 p.","ipdsId":"IP-028558","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss4art2","text":"Publisher Index Page"},{"id":381884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a8e","contributors":{"authors":[{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":477892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":477891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":477889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":477888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Morgan","contributorId":77446,"corporation":false,"usgs":true,"family":"Kennedy","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":477890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038087,"text":"70038087 - 2012 - Estimating discharge measurement uncertainty using the interpolated variance estimator","interactions":[],"lastModifiedDate":"2013-04-20T20:19:00","indexId":"70038087","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge measurement uncertainty using the interpolated variance estimator","docAbstract":"Methods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and at-site observations. This Interpolated Variance Estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000695","usgsCitation":"Cohn, T., Kiang, J., and Mason, R., 2012, Estimating discharge measurement uncertainty using the interpolated variance estimator: Journal of Hydraulic Engineering, v. 139, no. 5, p. 502-510, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000695.","productDescription":"9 p.","startPage":"502","endPage":"510","ipdsId":"IP-022663","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":269975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000695"}],"volume":"139","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150207ee4b08df5cb131360","contributors":{"authors":[{"text":"Cohn, T.","contributorId":95353,"corporation":false,"usgs":true,"family":"Cohn","given":"T.","email":"","affiliations":[],"preferred":false,"id":463432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.","contributorId":31280,"corporation":false,"usgs":true,"family":"Kiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":463430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, R. Jr.","contributorId":80155,"corporation":false,"usgs":true,"family":"Mason","given":"R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":463431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042772,"text":"70042772 - 2012 - Does translocation influence physiological stress in the desert tortoise?","interactions":[],"lastModifiedDate":"2013-05-02T14:22:27","indexId":"70042772","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Does translocation influence physiological stress in the desert tortoise?","docAbstract":"Wildlife translocation is increasingly used to mitigate disturbances to animals or habitat due to human activities, yet little is known about the extent to which translocating animals causes stress. To understand the relationship between physiological stress and translocation, we conducted a multiyear study (2007–2009) using a population of desert tortoises (Gopherus agassizii) near Fort Irwin, California. Blood samples were collected from adult tortoises in three treatment groups (resident, translocated and control) for 1 year prior to and 2 years after translocation. Samples were analyzed by radioimmunoassay for plasma total corticosterone (CORT), a glucocorticoid hormone commonly associated with stress responses in reptiles. CORT values were analyzed in relation to potential covariates (animal sex, date, behavior, treatment, handling time, air temperature, home-range size, precipitation and annual plant production) among seasons and years. CORT values in males were higher than in females, and values for both varied monthly throughout the activity season and among years. Year and sex were strong predictors of CORT, and translocation explained little in terms of CORT. Based on these results, we conclude that translocation does not elicit a physiological stress response in desert tortoises.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1469-1795.2012.00549.x","usgsCitation":"Drake, K., Nussear, K., Esque, T., Barber, A., Vittum, K., Medica, P., Tracy, C., and Hunter, K., 2012, Does translocation influence physiological stress in the desert tortoise?: Animal Conservation, v. 15, no. 6, p. 560-570, https://doi.org/10.1111/j.1469-1795.2012.00549.x.","productDescription":"11 p.","startPage":"560","endPage":"570","ipdsId":"IP-036103","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":271766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271765,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2012.00549.x"}],"country":"United States","state":"California","city":"Fort Irwin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.0,35.0 ], [ -117.0,35.5 ], [ -116.0,35.5 ], [ -116.0,35.0 ], [ -117.0,35.0 ] ] ] } } ] }","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-05-16","publicationStatus":"PW","scienceBaseUri":"51838ae5e4b0a21483941a8a","contributors":{"authors":[{"text":"Drake, K.K.","contributorId":85775,"corporation":false,"usgs":true,"family":"Drake","given":"K.K.","email":"","affiliations":[],"preferred":false,"id":472225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nussear, K.E.","contributorId":80227,"corporation":false,"usgs":true,"family":"Nussear","given":"K.E.","affiliations":[],"preferred":false,"id":472224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, T. C. 0000-0002-4166-6234","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":76250,"corporation":false,"usgs":true,"family":"Esque","given":"T. C.","affiliations":[],"preferred":false,"id":472222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, A.M.","contributorId":6238,"corporation":false,"usgs":true,"family":"Barber","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":472218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vittum, K.M.","contributorId":28881,"corporation":false,"usgs":true,"family":"Vittum","given":"K.M.","affiliations":[],"preferred":false,"id":472220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Medica, P.A.","contributorId":77079,"corporation":false,"usgs":true,"family":"Medica","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":472223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tracy, C.R.","contributorId":73524,"corporation":false,"usgs":true,"family":"Tracy","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":472221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunter, K.W.","contributorId":26950,"corporation":false,"usgs":true,"family":"Hunter","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":472219,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045905,"text":"70045905 - 2012 - Mineral resource of the month: boron","interactions":[],"lastModifiedDate":"2013-05-08T17:30:59","indexId":"70045905","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: boron","docAbstract":"The article offers information on the mineral, boron. Boron compounds, particularly borates, have more commercial applications than its elemental relative which is a metalloid. Making up the 90% of the borates that are used worldwide are colemanite, kernite, tincal, and ulexite. The main borate deposits are located in the Mojave Desert of the U.S., the Tethyan belt in southern Asia, and the Andean belt of South America. Underground and surface mining are being used in gathering boron compounds. INSETS: Fun facts;Boron production and consumption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Crangle, R., 2012, Mineral resource of the month: boron: Earth, v. 57, no. 2, p. 23-23.","productDescription":"1 p.","startPage":"23","endPage":"23","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e7e4b0037667dbc815","contributors":{"authors":[{"text":"Crangle, Robert D. Jr.","contributorId":102948,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert D.","suffix":"Jr.","affiliations":[],"preferred":false,"id":478510,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042008,"text":"70042008 - 2012 - Morphological evidence for discrete stocks of yellow perch in Lake Erie","interactions":[],"lastModifiedDate":"2013-02-28T14:36:15","indexId":"70042008","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Morphological evidence for discrete stocks of yellow perch in Lake Erie","docAbstract":"Identification and management of unique stocks of exploited fish species are high-priority management goals in the Laurentian Great Lakes. We analyzed whole-body morphometrics of 1430 yellow perch <i>Perca flavescens</i> captured during 2007–2009 from seven known spawning areas in Lake Erie to determine if morphometrics vary among sites and management units to assist in identification of spawning stocks of this heavily exploited species. Truss-based morphometrics (n = 21 measurements) were analyzed using principal component analysis followed by ANOVA of the first three principal components to determine whether yellow perch from the several sampling sites varied morphometrically. Duncan's multiple range test was used to determine which sites differed from one another to test whether morphometrics varied at scales finer than management unit. Morphometrics varied significantly among sites and annually, but differences among sites were much greater. Sites within the same management unit typically differed significantly from one another, indicating morphometric variation at a scale finer than management unit. These results are largely congruent with recently-published studies on genetic variation of yellow perch from many of the same sampling sites. Thus, our results provide additional evidence that there are discrete stocks of yellow perch in Lake Erie and that management units likely comprise multiple stocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2012.04.006","usgsCitation":"Kocovsky, P., and Knight, C.T., 2012, Morphological evidence for discrete stocks of yellow perch in Lake Erie: Journal of Great Lakes Research, v. 38, no. 3, p. 534-539, https://doi.org/10.1016/j.jglr.2012.04.006.","productDescription":"6 p.","startPage":"534","endPage":"539","ipdsId":"IP-037128","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.04.006"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.66,41.23 ], [ -83.66,43.26 ], [ -78.85,43.26 ], [ -78.85,41.23 ], [ -83.66,41.23 ] ] ] } } ] }","volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51308a8fe4b04c194073ae06","contributors":{"authors":[{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":470588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Carey T.","contributorId":56529,"corporation":false,"usgs":true,"family":"Knight","given":"Carey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":470587,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041913,"text":"70041913 - 2012 - Nearshore hydrodynamics as loading and forcing factors for <i>Escherichia coli</i> contamination at an embayed beach","interactions":[],"lastModifiedDate":"2013-02-28T14:06:40","indexId":"70041913","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore hydrodynamics as loading and forcing factors for <i>Escherichia coli</i> contamination at an embayed beach","docAbstract":"Numerical simulations of the transport and fate of <i>Escherichia coli</i> were conducted at Chicago's 63rd Street Beach, an embayed beach that had the highest mean <i>E. coli</i> concentration among 23 similar Lake Michigan beaches during summer months of 2000-2005, in order to find the cause for the high bacterial contamination. The numerical model was based on the transport of <i>E. coli</i> by current circulation patterns in the embayment driven by longshore main currents and the loss of <i>E. coli</i> in the water column, taking settling as well as bacterial dark- and solar-related decay into account. Two <i>E. coli</i> loading scenarios were considered: one from the open boundary north of the embayment and the other from the shallow water near the beachfront. Simulations showed that the embayed beach behaves as a sink for <i>E. coli</i> in that it generally receives <i>E. coli</i> more efficiently than it releases them. This is a result of the significantly different hydrodynamic forcing factors between the inside of the embayment and the main coastal flow outside. The settled <i>E. coli</i> inside the embayment can be a potential source of contamination during subsequent sediment resuspension events, suggesting that deposition-resuspension cycles of <i>E. coli</i> have resulted in excessive bacterial contamination of beach water. A further hypothetical case with a breakwater shortened to half its original length, which was anticipated to enhance the current circulation in the embayment, showed a reduction in <i>E. coli</i> concentrations of nearly 20%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASLO","publisherLocation":"Waco, TX","doi":"10.4319/lo.2012.57.1.0362","usgsCitation":"Ge, Z., Whitman, R.L., Nevers, M.B., Phanikumar, M., and Byappanahalli, M., 2012, Nearshore hydrodynamics as loading and forcing factors for <i>Escherichia coli</i> contamination at an embayed beach: Limnology and Oceanography, v. 57, no. 1, p. 362-381, https://doi.org/10.4319/lo.2012.57.1.0362.","productDescription":"20 p.","startPage":"362","endPage":"381","ipdsId":"IP-017639","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268567,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2012.57.1.0362"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"63rd Street Beach","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.576581,41.781041 ], [ -87.576581,41.784475 ], [ -87.56869,41.784475 ], [ -87.56869,41.781041 ], [ -87.576581,41.781041 ] ] ] } } ] }","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-16","publicationStatus":"PW","scienceBaseUri":"51308a92e4b04c194073ae13","contributors":{"authors":[{"text":"Ge, Zhongfu","contributorId":29709,"corporation":false,"usgs":true,"family":"Ge","given":"Zhongfu","affiliations":[],"preferred":false,"id":470373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phanikumar, Mantha S.","contributorId":17888,"corporation":false,"usgs":true,"family":"Phanikumar","given":"Mantha S.","affiliations":[],"preferred":false,"id":470372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":470374,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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