Although a diverse population of influenza A viruses (IAVs) is maintained among ducks, geese, shorebirds, and gulls, not all of the 16 avian hemagglutinin (HA) subtypes are equally represented (1). The 14th HA subtype, commonly known as the H14 subtype, was historically limited to isolates from the former Soviet Union in the 1980s (2) and was not subsequently detected until 2010, when isolated in Wisconsin, USA from long-tailed ducks and a white-winged scoter (3–5). In the United States, the H14 subtype has since been isolated in California (6), Mississippi, and Texas (7); and has been reported in waterfowl in Guatemala (7). In this study, we examined whether there was serologic evidence of H14 spread among ducks in North America before (2006–2010) and after (2011–2014) the initial detection of the H14 subtype virus on this continent.
","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.3201/eid2112.150413","usgsCitation":"Latorre-Margalef, N., Ramey, A.M., Fojtik, A., and Stallknecht, D.E., 2015, Serologic evidence of influenza A (H14) virus introduction into North America: Emerging Infectious Diseases, v. 21, no. 12, p. 2257-2259, https://doi.org/10.3201/eid2112.150413.","productDescription":"3 p.","startPage":"2257","endPage":"2259","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064120","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2112.150413","text":"Publisher Index Page"},{"id":321268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d664ce4b07e28b6684e38","contributors":{"authors":[{"text":"Latorre-Margalef, Neus","contributorId":169328,"corporation":false,"usgs":false,"family":"Latorre-Margalef","given":"Neus","email":"","affiliations":[],"preferred":false,"id":629369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":629361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fojtik, Alinde","contributorId":169329,"corporation":false,"usgs":false,"family":"Fojtik","given":"Alinde","email":"","affiliations":[],"preferred":false,"id":629370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":629371,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155165,"text":"70155165 - 2015 - Bees: An up-close look at pollinators around the world","interactions":[],"lastModifiedDate":"2016-09-20T15:14:30","indexId":"70155165","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Bees: An up-close look at pollinators around the world","docAbstract":"While we eat, work, and sleep, bees are busy around the world. More than 20,000 species are in constant motion! They pollinate plants of all types and keep our natural world intact. In Bees, you'll find a new way to appreciate these tiny wonders. Sam Droege and Laurence Packer present more than 100 of the most eye-catching bees from around the world as you've never seen them: up-close and with stunning detail. You'll stare into alien-like faces. You'll get lost in mesmerizing colors and patterns, patches and stripes of arresting yellow or blue. Whether you linger on your first close look at the Western Domesticated Honey Bee or excitedly flip straight to the rare Dinagapostemon sicheli, there's no doubt you'll be blown away by the beauty of bees.","language":"English","publisher":"Voyageur Press","isbn":"9780760347386","usgsCitation":"Droege, S., and Packer, L., 2015, Bees: An up-close look at pollinators around the world, 160 p.","productDescription":"160 p.","ipdsId":"IP-061834","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":305782,"type":{"id":15,"text":"Index Page"},"url":"https://www.qbookshop.com/products/216627/9780760347386/Bees.html?related=true"},{"id":328773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7ee24e4b0bc0bec09e8a9","contributors":{"authors":[{"text":"Droege, Sam sdroege@usgs.gov","contributorId":3464,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","email":"sdroege@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":564914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Packer, Laurence","contributorId":145652,"corporation":false,"usgs":false,"family":"Packer","given":"Laurence","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":564915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148411,"text":"70148411 - 2015 - Brumation of introduced Black and White Tegus, Tupinambis merianae (Squamata: Teiidae), in southern Florida","interactions":[],"lastModifiedDate":"2017-12-08T17:17:01","indexId":"70148411","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Brumation of introduced Black and White Tegus, Tupinambis merianae (Squamata: Teiidae), in southern Florida","docAbstract":"An established population of Tupinambis merianae (Black and White Tegu) in southeastern Florida threatens the Everglades ecosystem. Understanding the behavioral ecology of Black and White Tegus could aid in management and control plans. Black and White Tegus are seasonally active and brumate during the winter in their native range, but brumation behavior is largely unstudied in either the native or the invasive range. We describe the first observations of Black and White Tegu brumation in southeastern Florida after monitoring 5 free-ranging, adult male Black and White Tegus through an inactive season using radiotelemetry and automated cameras. Duration of brumation averaged 137 days, beginning in September and ending by February. One of the 5 Black and White Tegus emerged to bask regularly during brumation, which to our knowledge represents the first documented instance of a free-ranging Black and White Tegu basking during brumation. These preliminary findings provide a basis for future research of brumation behavior.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.014.0207","usgsCitation":"McEachern, M., Yackel Adams, A., Klug, P.E., Fitzgerald, L.A., and Reed, R., 2015, Brumation of introduced Black and White Tegus, Tupinambis merianae (Squamata: Teiidae), in southern Florida: Southeastern Naturalist, v. 14, no. 2, p. 319-328, https://doi.org/10.1656/058.014.0207.","productDescription":"10 p.","startPage":"319","endPage":"328","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059480","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":300960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.540771484375,\n 25.253390580642623\n ],\n [\n -80.42678833007812,\n 25.253390580642623\n ],\n [\n -80.42678833007812,\n 25.346508237892778\n ],\n [\n -80.540771484375,\n 25.346508237892778\n ],\n [\n -80.540771484375,\n 25.253390580642623\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3b7e4b0d9246a9fa7c9","contributors":{"authors":[{"text":"McEachern, Michelle mmceachern@usgs.gov","contributorId":141034,"corporation":false,"usgs":true,"family":"McEachern","given":"Michelle","email":"mmceachern@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. yackela@usgs.gov","contributorId":141033,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy A.","email":"yackela@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":548053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klug, Page E. pklug@usgs.gov","contributorId":5545,"corporation":false,"usgs":true,"family":"Klug","given":"Page","email":"pklug@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Lee A.","contributorId":141035,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":548056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":141036,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":548057,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173777,"text":"70173777 - 2015 - Jaguar critical habitat designation causes concern for Southwestern ranchers","interactions":[],"lastModifiedDate":"2016-06-09T13:11:39","indexId":"70173777","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Jaguar critical habitat designation causes concern for Southwestern ranchers","docAbstract":"The designation of jaguar critical habitat in April 2014 in southern Arizona and southwestern New Mexico created concern for livestock ranchers in the region.
\nWe interviewed ranchers to understand their concerns with the jaguar critical habitat designation and their attitudes toward jaguars, wildlife conservation, and resource management in general.
\nRanchers we interviewed were concerned about direct impacts of designated critical habitat on ranching, as well as possible alternative agendas of critical habitat advocates and issues specific to the borderlands region.
\nThe ranchers were less concerned about the presence of jaguars but were more concerned about possible limiting effects of the Endangered Species Act (ESA), distrust of government entities, and litigious environmental groups.
\nTo maximize effectiveness, government agencies should work to foster trust in the ranching community, be cognizant of sensitive issues specific to the region that may challenge endangered species conservation goals, recognize the opportunity to work with ranchers for endangered species management, and provide outreach about implications of the ESA.
\nPlethodontid salamanders are diverse and widely distributed taxa and play critical roles in ecosystem processes. Due to salamander use of structurally complex habitats, and because only a portion of a population is available for sampling, evaluation of sampling designs and estimators is critical to provide strong inference about Plethodontid ecology and responses to conservation and management activities. We conducted a simulation study to evaluate the effectiveness of multi-scale and hierarchical single-scale occupancy models in the context of a Before-After Control-Impact (BACI) experimental design with multiple levels of sampling. Also, we fit the hierarchical single-scale model to empirical data collected for Oregon slender and Ensatina salamanders across two years on 66 forest stands in the Cascade Range, Oregon, USA. All models were fit within a Bayesian framework. Estimator precision in both models improved with increasing numbers of primary and secondary sampling units, underscoring the potential gains accrued when adding secondary sampling units. Both models showed evidence of estimator bias at low detection probabilities and low sample sizes; this problem was particularly acute for the multi-scale model. Our results suggested that sufficient sample sizes at both the primary and secondary sampling levels could ameliorate this issue. Empirical data indicated Oregon slender salamander occupancy was associated strongly with the amount of coarse woody debris (posterior mean = 0.74; SD = 0.24); Ensatina occupancy was not associated with amount of coarse woody debris (posterior mean = -0.01; SD = 0.29). Our simulation results indicate that either model is suitable for use in an experimental study of Plethodontid salamanders provided that sample sizes are sufficiently large. However, hierarchical single-scale and multi-scale models describe different processes and estimate different parameters. As a result, we recommend careful consideration of study questions and objectives prior to sampling data and fitting models.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0142903","usgsCitation":"Kroll, A.J., Garcia, T.S., Jones, J., Dugger, K., Murden, B., Johnson, J., Peerman, S., Brintz, B., and Rochelle, M., 2015, Evaluating multi-level models to test occupancy state responses of Plethodontid salamanders: PLoS ONE, v. 10, no. 11, e0142903; 19 p., https://doi.org/10.1371/journal.pone.0142903.","productDescription":"e0142903; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0142903","text":"Publisher Index Page"},{"id":323290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-30","publicationStatus":"PW","scienceBaseUri":"575941e1e4b04f417c256833","contributors":{"authors":[{"text":"Kroll, Andrew J.","contributorId":171590,"corporation":false,"usgs":false,"family":"Kroll","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tiffany S.","contributorId":171591,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Jay E.","contributorId":171592,"corporation":false,"usgs":false,"family":"Jones","given":"Jay E.","affiliations":[],"preferred":false,"id":638046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murden, Blake","contributorId":171593,"corporation":false,"usgs":false,"family":"Murden","given":"Blake","email":"","affiliations":[],"preferred":false,"id":638047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Josh","contributorId":171594,"corporation":false,"usgs":false,"family":"Johnson","given":"Josh","email":"","affiliations":[],"preferred":false,"id":638048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peerman, Summer","contributorId":171595,"corporation":false,"usgs":false,"family":"Peerman","given":"Summer","email":"","affiliations":[],"preferred":false,"id":638049,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brintz, Ben","contributorId":171596,"corporation":false,"usgs":false,"family":"Brintz","given":"Ben","email":"","affiliations":[],"preferred":false,"id":638050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rochelle, Michael","contributorId":171597,"corporation":false,"usgs":false,"family":"Rochelle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":638051,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173633,"text":"70173633 - 2015 - Guidelines for evaluating performance of oyster habitat restoration","interactions":[],"lastModifiedDate":"2016-06-08T13:03:58","indexId":"70173633","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluating performance of oyster habitat restoration","docAbstract":"Restoration of degraded ecosystems is an important societal goal, yet inadequate monitoring and the absence of clear performance metrics are common criticisms of many habitat restoration projects. Funding limitations can prevent adequate monitoring, but we suggest that the lack of accepted metrics to address the diversity of restoration objectives also presents a serious challenge to the monitoring of restoration projects. A working group with experience in designing and monitoring oyster reef projects was used to develop standardized monitoring metrics, units, and performance criteria that would allow for comparison among restoration sites and projects of various construction types. A set of four universal metrics (reef areal dimensions, reef height, oyster density, and oyster size–frequency distribution) and a set of three universal environmental variables (water temperature, salinity, and dissolved oxygen) are recommended to be monitored for all oyster habitat restoration projects regardless of their goal(s). In addition, restoration goal-based metrics specific to four commonly cited ecosystem service-based restoration goals are recommended, along with an optional set of seven supplemental ancillary metrics that could provide information useful to the interpretation of prerestoration and postrestoration monitoring data. Widespread adoption of a common set of metrics with standardized techniques and units to assess well-defined goals not only allows practitioners to gauge the performance of their own projects but also allows for comparison among projects, which is both essential to the advancement of the field of oyster restoration and can provide new knowledge about the structure and ecological function of oyster reef ecosystems.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12262","usgsCitation":"Baggett, L.P., Powers, S.P., Brumbaugh, R.D., Coen, L.D., DeAngelis, B.M., Greene, J.K., Hancock, B.T., Morlock, S.M., Allen, B.L., Breitburg, D.L., Bushek, D., Grabowski, J., Grizzle, R.E., Grosholz, E., LaPeyre, M.K., Luckenbach, M.W., McGraw, K.A., Piehler, M.F., Westby, S.R., and zu Ermgassen, P., 2015, Guidelines for evaluating performance of oyster habitat restoration: Restoration Ecology, v. 23, no. 6, p. 737-745, https://doi.org/10.1111/rec.12262.","productDescription":"9 p.","startPage":"737","endPage":"745","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"575941f3e4b04f417c256871","contributors":{"authors":[{"text":"Baggett, Lesley P.","contributorId":171552,"corporation":false,"usgs":false,"family":"Baggett","given":"Lesley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Sean P.","contributorId":138867,"corporation":false,"usgs":false,"family":"Powers","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":12554,"text":"University of South Alabama and Dauphin Island Sea Lab, Dauphin","active":true,"usgs":false}],"preferred":false,"id":637927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, Robert D.","contributorId":171553,"corporation":false,"usgs":false,"family":"Brumbaugh","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coen, Loren D.","contributorId":171554,"corporation":false,"usgs":false,"family":"Coen","given":"Loren","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Bryan M.","contributorId":171555,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Bryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, Jennifer K.","contributorId":171556,"corporation":false,"usgs":false,"family":"Greene","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":637931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hancock, Boze T.","contributorId":171558,"corporation":false,"usgs":false,"family":"Hancock","given":"Boze","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":637932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morlock, Summer M.","contributorId":171559,"corporation":false,"usgs":false,"family":"Morlock","given":"Summer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allen, Brian L.","contributorId":171560,"corporation":false,"usgs":false,"family":"Allen","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637934,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breitburg, Denise L.","contributorId":53294,"corporation":false,"usgs":true,"family":"Breitburg","given":"Denise","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637935,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bushek, David","contributorId":23766,"corporation":false,"usgs":true,"family":"Bushek","given":"David","affiliations":[],"preferred":false,"id":637936,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grabowski, Jonathan H.","contributorId":171561,"corporation":false,"usgs":false,"family":"Grabowski","given":"Jonathan H.","affiliations":[],"preferred":false,"id":637937,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grizzle, Raymond E.","contributorId":171562,"corporation":false,"usgs":false,"family":"Grizzle","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637938,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grosholz, Edwin D.","contributorId":171563,"corporation":false,"usgs":false,"family":"Grosholz","given":"Edwin D.","affiliations":[],"preferred":false,"id":637939,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":637426,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Luckenbach, Mark W.","contributorId":171564,"corporation":false,"usgs":false,"family":"Luckenbach","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637940,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McGraw, Kay A.","contributorId":171565,"corporation":false,"usgs":false,"family":"McGraw","given":"Kay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637941,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Piehler, Michael F.","contributorId":171566,"corporation":false,"usgs":false,"family":"Piehler","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637942,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Westby, Stephanie R.","contributorId":171567,"corporation":false,"usgs":false,"family":"Westby","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":637943,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"zu Ermgassen, Philine S. E.","contributorId":171568,"corporation":false,"usgs":false,"family":"zu Ermgassen","given":"Philine S. E.","affiliations":[],"preferred":false,"id":637944,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70173779,"text":"70173779 - 2015 - Exploring crowded trophic niche space in a novel reservoir fish assemblage: how many predators is too many?","interactions":[],"lastModifiedDate":"2016-06-09T12:24:16","indexId":"70173779","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Exploring crowded trophic niche space in a novel reservoir fish assemblage: how many predators is too many?","docAbstract":"In highly managed reservoir systems, species interactions within novel fish assemblages can be difficult to predict. In high-elevation Scofield Reservoir in Utah the unintentional introduction of Utah Chub Gila atraria and subsequent population expansion prompted a shift from stocking exclusively Rainbow Trout Oncorhynchus mykiss to include tiger trout (female Brown Trout Salmo trutta × male Brook Trout Salvelinus fontinalis) and Bonneville Cutthroat Trout O. clarkii utah, which composed a novel suite of top predators and potential competitors. We examined the interspecific interactions among Scofield Reservoir piscivores using a multifaceted approach including gut analyses, stable isotopes, and gape limitation. Large Cutthroat Trout consumed 50–100% Utah Chub and tiger trout consumed 45–80%. In contrast, small and large Rainbow Trout consumed primarily invertebrate prey and exhibited significant overlap with small tiger trout, Cutthroat Trout, and Utah Chub. Large Cutthroat Trout and tiger trout occupy a top piscivore trophic niche and are more littoral, while Rainbow Trout occupy an omnivore niche space and are more pelagic. Both Cutthroat and tiger trout varied in niche space with respect to size-class, demonstrating an ontogenetic shift to piscivory at approximately 350 mm TL. Cutthroat Trout and tiger trout are capable of consuming prey up to 50% of their own size, which is larger than predicted based on their theoretical gape limit. Because it appears food resources (Utah Chub) are not limited, and performance metrics are high, competition is unlikely between Cutthroat Trout and tiger trout. In contrast, apparent survival of Rainbow Trout has recently declined significantly, potentially due to shared food resources with Utah Chub or negative behavioral interactions with other members of the community. Collectively, this research aids in understanding biotic interactions within a top-heavy and novel fish community and assists towards developing and implementing suitable management strategies to control nuisance species.
","language":"English","doi":"10.1080/00028487.2015.1083475","usgsCitation":"Winters, L.K., and Budy, P., 2015, Exploring crowded trophic niche space in a novel reservoir fish assemblage: how many predators is too many?: Transactions of the American Fisheries Society, v. 114, no. 6, p. 1117-1128, https://doi.org/10.1080/00028487.2015.1083475.","productDescription":"12 p.","startPage":"1117","endPage":"1128","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065178","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Scofield Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.1064453125,\n 39.8928799002948\n ],\n [\n -104.1064453125,\n 43.02071359427862\n ],\n [\n -95.33935546875,\n 43.02071359427862\n ],\n [\n -95.33935546875,\n 39.8928799002948\n ],\n [\n -104.1064453125,\n 39.8928799002948\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.14044189453124,\n 39.82013946676259\n ],\n [\n -111.18078231811523,\n 39.78321267821705\n ],\n [\n -111.18026733398438,\n 39.77120720260559\n ],\n [\n -111.16327285766602,\n 39.74164634129422\n ],\n [\n -111.11280441284178,\n 39.78717006831114\n ],\n [\n -111.14044189453124,\n 39.82013946676259\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-06","publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c275144","contributors":{"authors":[{"text":"Winters, Lisa K.","contributorId":171640,"corporation":false,"usgs":false,"family":"Winters","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638164,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173669,"text":"70173669 - 2015 - A guide to Bayesian model selection for ecologists","interactions":[],"lastModifiedDate":"2016-06-08T09:53:32","indexId":"70173669","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"A guide to Bayesian model selection for ecologists","docAbstract":"The steady upward trend in the use of model selection and Bayesian methods in ecological research has made it clear that both approaches to inference are important for modern analysis of models and data. However, in teaching Bayesian methods and in working with our research colleagues, we have noticed a general dissatisfaction with the available literature on Bayesian model selection and multimodel inference. Students and researchers new to Bayesian methods quickly find that the published advice on model selection is often preferential in its treatment of options for analysis, frequently advocating one particular method above others. The recent appearance of many articles and textbooks on Bayesian modeling has provided welcome background on relevant approaches to model selection in the Bayesian framework, but most of these are either very narrowly focused in scope or inaccessible to ecologists. Moreover, the methodological details of Bayesian model selection approaches are spread thinly throughout the literature, appearing in journals from many different fields. Our aim with this guide is to condense the large body of literature on Bayesian approaches to model selection and multimodel inference and present it specifically for quantitative ecologists as neutrally as possible. We also bring to light a few important and fundamental concepts relating directly to model selection that seem to have gone unnoticed in the ecological literature. Throughout, we provide only a minimal discussion of philosophy, preferring instead to examine the breadth of approaches as well as their practical advantages and disadvantages. This guide serves as a reference for ecologists using Bayesian methods, so that they can better understand their options and can make an informed choice that is best aligned with their goals for inference.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-0661.1","usgsCitation":"Hooten, M., and Hobbs, N., 2015, A guide to Bayesian model selection for ecologists: Ecological Monographs, v. 85, no. 1, p. 3-28, https://doi.org/10.1890/14-0661.1.","productDescription":"26 p.","startPage":"3","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052758","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941b1e4b04f417c25676b","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":637477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbs, N.T.","contributorId":9498,"corporation":false,"usgs":true,"family":"Hobbs","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":637820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173657,"text":"70173657 - 2015 - Epizootiology of cranial abscess disease in white-tailed deer (Odocoileus virginianus) of Georgia, USA","interactions":[],"lastModifiedDate":"2016-06-08T09:23:31","indexId":"70173657","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Epizootiology of cranial abscess disease in white-tailed deer (Odocoileus virginianus) of Georgia, USA","docAbstract":"Intracranial abscess disease is a cause of natural mortality for mature male white-tailed deer (Odocoileus virginianus). Most cases of abscesses are associated with bacterial infection byTrueperella (Arcanobacterium) pyogenes, but a complete understanding of the epidemiology of this disease is lacking. We quantified the effects of individual characteristics, site-specific herd demographics, land cover, and soil variables in estimating the probability of this disease. We examined 7,545 white-tailed deer from 60 sites throughout Georgia US for signs of cranial abscesses, the predecessor of intracranial abscesses, and recorded the presence or absence of cranial abscesses for each individual examined. We detected no cranial abscesses in 2,562 female deer but 91 abscesses in 4,983 male deer examined (1.8%). A generalized linear mixed model, treating site as a random effect, was used to examine several potential explanatory risk factors including site-level landscape and soil characteristics (soil and forest type), demographic factors (deer density and male to female ratio), and individual host factors (deer sex and age). Model results indicated that the probability of a male having a cranial abscess increased with age and that adult sex ratio (male:female) was positively associated with this disease. Site-specific variables for land cover and soil types were not strongly associated with observations of the disease at the scale measured and a large amount of among-site variability remained. Given the demonstrated effect of age, gender, and local sex ratios but the remaining unexplained spatial variability, additional investigation into spatiotemporal variation of the presumed bacterial causative agent of cranial abscesses appears warranted.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-05-129","usgsCitation":"Cohen, B.S., Belser, E.H., Killmaster, C.H., Bowers, J.W., Irwin, B.J., Yabsley, M.J., and Miller, K.V., 2015, Epizootiology of cranial abscess disease in white-tailed deer (Odocoileus virginianus) of Georgia, USA: Journal of Wildlife Diseases, v. 51, no. 3, p. 609-618, https://doi.org/10.7589/2014-05-129.","productDescription":"10 p.","startPage":"609","endPage":"618","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056799","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941dee4b04f417c25682c","contributors":{"authors":[{"text":"Cohen, Bradley S.","contributorId":171513,"corporation":false,"usgs":false,"family":"Cohen","given":"Bradley","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belser, Emily H.","contributorId":171514,"corporation":false,"usgs":false,"family":"Belser","given":"Emily","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":637800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killmaster, Charlie H.","contributorId":171515,"corporation":false,"usgs":false,"family":"Killmaster","given":"Charlie","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":637801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowers, John W.","contributorId":171516,"corporation":false,"usgs":false,"family":"Bowers","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yabsley, Michael J.","contributorId":76985,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":637803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Karl V.","contributorId":171517,"corporation":false,"usgs":false,"family":"Miller","given":"Karl","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":637804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173656,"text":"70173656 - 2015 - A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan","interactions":[],"lastModifiedDate":"2016-06-08T09:28:11","indexId":"70173656","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan","docAbstract":"The proliferation of double-crested cormorants (DCCOs; Phalacrocorax auritus) in North America has raised concerns over their potential negative impacts on game, cultured and forage fishes, island and terrestrial resources, and other colonial water birds, leading to increased public demands to reduce their abundance. By combining fish surplus production and bird functional feeding response models, we developed a deterministic predictive model representing bird–fish interactions to inform an adaptive management process for the control of DCCOs in multiple colonies in Michigan. Comparisons of model predictions with observations of changes in DCCO numbers under management measures implemented from 2004 to 2012 suggested that our relatively simple model was able to accurately reconstruct past DCCO population dynamics. These comparisons helped discriminate among alternative parameterizations of demographic processes that were poorly known, especially site fidelity. Using sensitivity analysis, we also identified remaining critical uncertainties (mainly in the spatial distributions of fish vs. DCCO feeding areas) that can be used to prioritize future research and monitoring needs. Model forecasts suggested that continuation of existing control efforts would be sufficient to achieve long-term DCCO control targets in Michigan and that DCCO control may be necessary to achieve management goals for some DCCO-impacted fisheries in the state. Finally, our model can be extended by accounting for parametric or ecological uncertainty and including more complex assumptions on DCCO–fish interactions as part of the adaptive management process.
","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12071","usgsCitation":"Tsehaye, I., Jones, M., Irwin, B.J., Fielder, D., Breck, J.E., and Luukkonen, D., 2015, A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan: Natural Resource Modeling, v. 28, no. 3, p. 348-376, https://doi.org/10.1111/nrm.12071.","productDescription":"29 p.","startPage":"348","endPage":"376","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060377","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-25","publicationStatus":"PW","scienceBaseUri":"575941b4e4b04f417c256778","contributors":{"authors":[{"text":"Tsehaye, Iyob","contributorId":106801,"corporation":false,"usgs":true,"family":"Tsehaye","given":"Iyob","email":"","affiliations":[],"preferred":false,"id":637805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":637806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielder, David G.","contributorId":85434,"corporation":false,"usgs":true,"family":"Fielder","given":"David G.","affiliations":[],"preferred":false,"id":637807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breck, James E.","contributorId":171518,"corporation":false,"usgs":false,"family":"Breck","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luukkonen, David R.","contributorId":111336,"corporation":false,"usgs":true,"family":"Luukkonen","given":"David R.","affiliations":[],"preferred":false,"id":637809,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173655,"text":"70173655 - 2015 - Re-examination of sea lamprey control policies for the St. Marys River: Completion of an adaptive management cycle","interactions":[],"lastModifiedDate":"2016-06-08T09:31:16","indexId":"70173655","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Re-examination of sea lamprey control policies for the St. Marys River: Completion of an adaptive management cycle","docAbstract":"The St. Marys River (SMR) historically has been a major producer of sea lampreys (Petromyzon marinus) in the Laurentian Great Lakes. In the early 2000s, a decision analysis (DA) project was conducted to evaluate sea lamprey control policies for the SMR; this project suggested that an integrated policy of trapping, sterile male releases, and Bayluscide treatment was the most cost-effective policy. Further, it concluded that formal assessment of larval sea lamprey abundance and distribution in the SMR would be valuable for future evaluation of control strategies. We updated this earlier analysis, adding information from annual larval assessments conducted since 1999 and evaluating additional control policies. Bayluscide treatments continued to be critical for sea lamprey control, but high recruitment compensation minimized the effectiveness of trapping and sterile male release under current feasible ranges. Because Bayluscide control is costly, development of strategies to enhance trapping success remains a priority. This study illustrates benefits of an adaptive management cycle, wherein models inform decisions, are updated based on learning achieved from those decisions, and ultimately inform future decisions.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0567","usgsCitation":"Jones, M., Brenden, T.O., and Irwin, B.J., 2015, Re-examination of sea lamprey control policies for the St. Marys River: Completion of an adaptive management cycle: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 10, p. 1538-1551, https://doi.org/10.1139/cjfas-2014-0567.","productDescription":"14 p.","startPage":"1538","endPage":"1551","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060924","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5759422be4b04f417c256963","contributors":{"authors":[{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":637810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":637811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173654,"text":"70173654 - 2015 - Evaluation of daily creel and minimum length limits for Black Crappies and Yellow Perch in Wisconsin","interactions":[],"lastModifiedDate":"2016-06-08T09:34:39","indexId":"70173654","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","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":"Evaluation of daily creel and minimum length limits for Black Crappies and Yellow Perch in Wisconsin","docAbstract":"Harvest regulations for Black Crappie Pomoxis nigromaculatus and Yellow Perch Perca flavescens in the northern USA and Canada have not been thoroughly evaluated, and specific guidance regarding where minimum length limits (MLLs) might improve these fisheries is lacking. We examined whether: (1) transitioning from an aggregate statewide daily creel limit of 25 panfish to species-specific daily creel limits of <25 fish or implementing statewide MLLs could reduce harvest of Black Crappie and Yellow Perch in Wisconsin by ≥25%, and (2) MLLs would improve yield by ≥10% and mean TL of harvested fish by ≥25 mm in Wisconsin fisheries. Creel surveys indicated that ≥94% of Wisconsin anglers did not harvest a Black Crappie or Yellow Perch, and ≤0.12% of anglers harvested a daily creel limit of 25 fish. Daily creel limits would need to be ≤7 fish/ angler to reduce harvest by ≥25%. Statewide MLLs would need to be ≥229 mm for Black Crappie and ≥203 mm for Yellow Perch to reduce harvest by ≥25%, but predicted responses to MLLs varied among simulated populations. In general, MLLs were not predicted to improve yield, indicating that growth overfishing was not a widespread problem. Minimum length limits could improve mean TL of harvested fish, but increases ≥25 mm were only observed under 254-mm and 279-mm MLLs, and anglers would have to accept predicted reductions in harvest of ≥30% to achieve these improvements. A 229-mm MLL offered a more equitable trade-off between increases in mean TLs of harvested fish (11–21-mm improvements) and reductions in harvest (22–37% reductions). Our modeling provides a framework for managers to make more informed decisions regarding harvest regulations, but more information regarding angler preferences is needed for selecting appropriate management objectives and harvest regulations.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/02755947.2014.963752","usgsCitation":"Mosel, K., Isermann, D.A., and Hansen, J.F., 2015, Evaluation of daily creel and minimum length limits for Black Crappies and Yellow Perch in Wisconsin: North American Journal of Fisheries Management, v. 35, no. 1, p. 1-13, https://doi.org/10.1080/02755947.2014.963752.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056173","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-12","publicationStatus":"PW","scienceBaseUri":"575941e1e4b04f417c256838","contributors":{"authors":[{"text":"Mosel, Kyle","contributorId":30135,"corporation":false,"usgs":true,"family":"Mosel","given":"Kyle","affiliations":[],"preferred":false,"id":637812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jonathan F.","contributorId":171519,"corporation":false,"usgs":false,"family":"Hansen","given":"Jonathan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637813,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173752,"text":"70173752 - 2015 - Population and genetic outcomes 20 years after reintroducing bobcats (Lynx rufus) to Cumberland Island, Georgia USA","interactions":[],"lastModifiedDate":"2016-06-09T14:04:16","indexId":"70173752","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Population and genetic outcomes 20 years after reintroducing bobcats (Lynx rufus) to Cumberland Island, Georgia USA","docAbstract":"In 1988–1989, 32 bobcats Lynx rufus were reintroduced to Cumberland Island (CUIS), Georgia, USA, from which they had previously been extirpated. They were monitored intensively for 3 years immediately post-reintroduction, but no estimation of the size or genetic diversity of the population had been conducted in over 20 years since reintroduction. We returned to CUIS in 2012 to estimate abundance and effective population size of the present-day population, as well as to quantify genetic diversity and inbreeding. We amplified 12 nuclear microsatellite loci from DNA isolated from scats to establish genetic profiles to identify individuals. We used spatially explicit capture–recapture population estimation to estimate abundance. From nine unique genetic profiles, we estimate a population size of 14.4 (SE = 3.052) bobcats, with an effective population size (Ne) of 5–8 breeding individuals. This is consistent with predictions of a population viability analysis conducted at the time of reintroduction, which estimated the population would average 12–13 bobcats after 10 years. We identified several pairs of related bobcats (parent-offspring and full siblings), but ~75% of the pairwise comparisons were typical of unrelated individuals, and only one individual appeared inbred. Despite the small population size and other indications that it has likely experienced a genetic bottleneck, levels of genetic diversity in the CUIS bobcat population remain high compared to other mammalian carnivores. The reintroduction of bobcats to CUIS provides an opportunity to study changes in genetic diversity in an insular population without risk to this common species. Opportunities for natural immigration to the island are limited; therefore, continued monitoring and supplemental bobcat reintroductions could be used to evaluate the effect of different management strategies to maintain genetic diversity and population viability. The successful reintroduction and maintenance of a bobcat population on CUIS illustrates the suitability of translocation as a management tool for re-establishing felid populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1750","usgsCitation":"Diefenbach, D.R., Hansen, L.A., Bohling, J.H., and Miller-Butterworth, C., 2015, Population and genetic outcomes 20 years after reintroducing bobcats (Lynx rufus) to Cumberland Island, Georgia USA: Ecology and Evolution, v. 5, no. 21, p. 4885-4895, https://doi.org/10.1002/ece3.1750.","productDescription":"11 p.","startPage":"4885","endPage":"4895","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064333","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471529,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1750","text":"Publisher Index Page"},{"id":323382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Cumberland Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.4031982421875,\n 30.980552589134298\n ],\n [\n -81.39907836914062,\n 30.904581367044212\n ],\n [\n -81.4251708984375,\n 30.828549798137225\n ],\n [\n -81.4471435546875,\n 30.796704732329218\n ],\n [\n -81.45606994628906,\n 30.760128865274268\n ],\n [\n -81.44233703613281,\n 30.711732980916167\n ],\n [\n -81.45538330078125,\n 30.70937158441273\n ],\n [\n -81.48971557617188,\n 30.731802516787106\n ],\n [\n -81.48216247558594,\n 30.74773711283919\n ],\n [\n -81.47392272949219,\n 30.77369895462042\n ],\n [\n -81.47254943847656,\n 30.814397738820233\n ],\n [\n -81.47254943847656,\n 30.832087487077953\n ],\n [\n -81.4691162109375,\n 30.853310882590385\n ],\n [\n -81.47323608398438,\n 30.881012137733634\n ],\n [\n -81.45675659179688,\n 30.92519968313374\n ],\n [\n -81.43753051757812,\n 30.935212690426727\n ],\n [\n -81.42929077148438,\n 30.964656633451174\n ],\n [\n -81.42379760742188,\n 30.979375201714394\n ],\n [\n -81.4031982421875,\n 30.980552589134298\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-12","publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c27516e","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Leslie A.","contributorId":171655,"corporation":false,"usgs":false,"family":"Hansen","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":638224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohling, Justin H.","contributorId":171656,"corporation":false,"usgs":false,"family":"Bohling","given":"Justin","email":"","middleInitial":"H.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":638225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller-Butterworth, Cassandra","contributorId":171657,"corporation":false,"usgs":false,"family":"Miller-Butterworth","given":"Cassandra","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":638226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168355,"text":"70168355 - 2015 - Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout","interactions":[],"lastModifiedDate":"2016-06-30T09:43:33","indexId":"70168355","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout","docAbstract":"Unaccounted postrelease mortality violates assumptions of many fisheries studies, thereby biasing parameter estimates and reducing efficiency. We evaluated effects of gill-net trauma, barotrauma, and deep-release treatment on postrelease mortality of lake trout Salvelinus namaycush. Lake trout were captured at depths up to 65 m with gill nets in Priest Lake, Idaho, and held in a large enclosure for 10–12 d. Postrelease mortality was the same for surface-release–and deep-release–treated fish (41%). Mixed-effects logistic regression models were used to evaluate effects of intrinsic and environmental factors on the probability of mortality. Presence of gill-net trauma and degree of barotrauma were associated with increased probability of postrelease mortality. Smaller fish were also more likely to suffer postrelease mortality. On average, deep-release treatment did not reduce postrelease mortality, but effectiveness of treatment increased with fish length. Of the environmental factors evaluated, only elapsed time between lifting the first and last anchors of a gill-net gang (i.e., lift time) was significantly related to postrelease mortality. Longer lift times, which may allow ascending lake trout to acclimate to depressurization, were associated with lower postrelease mortality rates. Our study suggests that postrelease mortality may be higher than previously assumed for lake trout because mortality continues after 48 h. In future studies, postrelease mortality could be reduced by increasing gill-net lift times and increasing mesh size used to increase length of fish captured.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/122014-JFWM-096","usgsCitation":"Ng, E.L., Fredericks, J.P., and Quist, M., 2015, Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout: Journal of Fish and Wildlife Management, v. 6, no. 2, p. 265-277, https://doi.org/10.3996/122014-JFWM-096.","productDescription":"13 p.","startPage":"265","endPage":"277","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122014-jfwm-096","text":"Publisher Index Page"},{"id":324666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Priest Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.93161010742188,\n 48.473376498523656\n ],\n [\n -116.93161010742188,\n 48.748945343432936\n ],\n [\n -116.81625366210938,\n 48.748945343432936\n ],\n [\n -116.81625366210938,\n 48.473376498523656\n ],\n [\n -116.93161010742188,\n 48.473376498523656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-01","publicationStatus":"PW","scienceBaseUri":"577642afe4b07dd077c873fa","contributors":{"authors":[{"text":"Ng, Elizabeth L.","contributorId":166901,"corporation":false,"usgs":false,"family":"Ng","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[{"id":13247,"text":"University of Idaho, Fish and Wildlife Sciences","active":true,"usgs":false}],"preferred":false,"id":620730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Jim P.","contributorId":166902,"corporation":false,"usgs":false,"family":"Fredericks","given":"Jim","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":620731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":619795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70132453,"text":"70132453 - 2015 - Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California","interactions":[],"lastModifiedDate":"2016-07-08T14:06:37","indexId":"70132453","displayToPublicDate":"2015-12-31T23:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5129,"text":"Journal of the Southwest","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California","docAbstract":"For almost a century the Baja California peninsula (Peninsula), Gulf of California (Gulf), and broader Sonoran Desert region (figure 1) have drawn geologists and biologists alike to study its unique physical and evolutionary processes (e.g., Wittich 1920; Darton 1921; Nelson 1921; Johnston 1924; Beal 1948; Durham and Allison 1960). The challenge remains to untangle the long, intricate, and at times enigmatic geological and climatological histories that have shaped the high levels of endemism and biodiversity observed in the region today (Van Devender 1990; Grismer 2000; Riddle et al. 2000).
","language":"English","publisher":"Project MUSE","doi":"10.1353/jsw.2015.0005","usgsCitation":"Dolby, G., Bennett, S.E., Lira-Noriega, A., Wilder, B.T., and Munguia-Vega, A., 2015, Assessing the geologic and climatic forcing of biodiversity and evolution surrounding the Gulf of California: Journal of the Southwest, v. 57, no. 2-3, p. 391-455, https://doi.org/10.1353/jsw.2015.0005.","productDescription":"65 p.","startPage":"391","endPage":"455","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060629","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1142578125,\n 32.10118973232094\n ],\n [\n -114.47753906249999,\n 31.840232667909365\n ],\n [\n -112.8076171875,\n 31.203404950917395\n ],\n [\n -104.501953125,\n 21.28937435586041\n ],\n [\n -105.732421875,\n 20.138470312451155\n ],\n [\n -111.533203125,\n 22.14670778001263\n ],\n [\n -115.8837890625,\n 28.110748760633534\n ],\n [\n -117.1142578125,\n 32.10118973232094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb0e4b08116168222b2","contributors":{"authors":[{"text":"Dolby, Greer","contributorId":127027,"corporation":false,"usgs":false,"family":"Dolby","given":"Greer","affiliations":[{"id":6772,"text":"UC Los Angeles","active":true,"usgs":false}],"preferred":false,"id":522907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":522908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lira-Noriega, Andres","contributorId":127028,"corporation":false,"usgs":false,"family":"Lira-Noriega","given":"Andres","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":522909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilder, Benjamin T.","contributorId":40518,"corporation":false,"usgs":true,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":522910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munguia-Vega, Adrian","contributorId":56909,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":522911,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177916,"text":"70177916 - 2015 - Accelerating advances in continental domain hydrologic modeling","interactions":[],"lastModifiedDate":"2017-02-13T13:53:00","indexId":"70177916","displayToPublicDate":"2015-12-31T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Accelerating advances in continental domain hydrologic modeling","docAbstract":"In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives. Those include: (1) creating new incentives and infrastructure to report and share model inputs, outputs, and parameters in data services and open access, machine-independent formats for model replication or reanalysis; (2) ensuring that hydrologic models have: sufficient complexity to represent the dominant physical processes and adequate representation of anthropogenic impacts on the terrestrial water cycle, a process-based approach to model parameter estimation, and appropriate parameterizations to represent large-scale fluxes and scaling behavior; (3) maintaining a balance between model complexity and data availability as well as uncertainties; and (4) quantifying and communicating significant advancements toward these modeling goals.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017498","usgsCitation":"Archfield, S.A., Clark, M., Arheimer, B., Hay, L.E., McMillan, H., Kiang, J.E., Seibert, J., Hakala, K., Bock, A.R., Wagener, T., Farmer, W.H., Andreassian, V., Attinger, S., Viglione, A., Knight, R., Markstrom, S.L., and Over, T.M., 2015, Accelerating advances in continental domain hydrologic modeling: Water Resources Research, v. 51, no. 12, p. 10078-10091, https://doi.org/10.1002/2015WR017498.","productDescription":"14 p.","startPage":"10078","endPage":"10091","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069653","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017498","text":"Publisher Index Page"},{"id":330412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-31","publicationStatus":"PW","scienceBaseUri":"5811c0f4e4b0f497e79a5a8b","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - 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In a previous study, a synthetic sex pheromone component 7α,12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3kPZS) was applied to sea lamprey traps in eight streams at a final in-stream concentration of 10−12 M. Application of 3kPZS increased sea lamprey catch, but where and when 3kPZS had the greatest impact was not determined. Here, by applying 3kPZS to additional streams, we determined that overall increases in yearly exploitation rate (proportion of sea lampreys that were marked, released, and subsequently recaptured) were highest (20–40 %) in wide streams (~40 m) with low adult sea lamprey abundance (<1000). Wide streams with low adult abundance may be representative of low-attraction systems for adult sea lamprey and, in the absence of other attractants (larval odor, sex pheromone), sea lamprey may have been more responsive to a partial sex pheromone blend emitted from traps. Furthermore, we found that the largest and most consistent responses to 3kPZS were during nights early in the trapping season, when water temperatures were increasing. This may have occurred because, during periods of increasing water temperatures, sea lamprey become more active and males at large may not have begun to release sex pheromone. In general, our results are consistent with those for pheromones of invertebrates, which are most effective when pest density is low and when pheromone competition is low.
","language":"English","publisher":"Springer","doi":"10.1007/s10886-015-0626-2","usgsCitation":"Johnson, N., Siefkes, M.J., Wagner, C.M., Bravener, G., Steeves, T., Twohey, M., and Li, W., 2015, Factors influencing capture of invasive sea lamprey in traps baited with a synthesized sex pheromone component: Journal of Chemical Ecology, v. 41, no. 10, p. 913-923, https://doi.org/10.1007/s10886-015-0626-2.","productDescription":"11 p.","startPage":"913","endPage":"923","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066934","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-23","publicationStatus":"PW","scienceBaseUri":"568651b6e4b0e7594ee74c9e","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":145442,"corporation":false,"usgs":false,"family":"Wagner","given":"C.","email":"","middleInitial":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":583926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steeves, Todd","contributorId":59337,"corporation":false,"usgs":true,"family":"Steeves","given":"Todd","affiliations":[],"preferred":false,"id":583923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Twohey, Michael","contributorId":80170,"corporation":false,"usgs":true,"family":"Twohey","given":"Michael","affiliations":[],"preferred":false,"id":583924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583925,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160806,"text":"70160806 - 2015 - Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach","interactions":[],"lastModifiedDate":"2016-06-24T11:03:33","indexId":"70160806","displayToPublicDate":"2015-12-31T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach","docAbstract":"We evaluated the ecosystem regime shift in the main basin of Lake Huron that was indicated by the 2003 collapse of alewives, and dramatic declines in Chinook salmon abundance thereafter. We found that the period of 1995-2002 should be considered as the early phase of the final regime shift. We developed two Bayesian hierarchical models to describe time-varying growth based on the von Bertalanffy growth function and the length-mass relationship. We used asymptotic length as an index of growth potential, and predicted body mass at a given length as an index of body condition. Modeling fits to length and body mass at age of lake trout, Chinook salmon, and walleye were excellent. Based on posterior distributions, we evaluated the shifts in among-year geometric means of the growth potential and body condition. For a given top piscivore, one of the two indices responded to the regime shift much earlier than the 2003 collapse of alewives, the other corresponded to the 2003 changes, and which index provided the early signal differed among the three top piscivores.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0235","usgsCitation":"He, J.X., Bence, J., Roseman, E., Fielder, D.G., and Ebener, M.P., 2015, Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 7, p. 1092-1103, https://doi.org/10.1139/cjfas-2015-0235.","productDescription":"12 p.","startPage":"1092","endPage":"1103","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065491","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471536,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0235","text":"External Repository"},{"id":313137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.70458984375,\n 46.057985244793024\n ],\n [\n -84.74853515625,\n 45.71385093029221\n ],\n [\n -83.441162109375,\n 45.29034662473615\n ],\n [\n -83.49609375,\n 44.99588261816546\n ],\n [\n -83.34228515625,\n 44.86365630540611\n ],\n [\n -83.33129882812499,\n 44.34742225636393\n ],\n [\n -83.5400390625,\n 44.29240108529005\n ],\n [\n -83.91357421875,\n 43.98491011404692\n ],\n [\n -83.94653320312499,\n 43.691707903073805\n ],\n [\n -83.69384765625,\n 43.56447158721811\n ],\n [\n -83.232421875,\n 43.97700467496408\n ],\n [\n -82.85888671875,\n 44.071800467511565\n ],\n [\n -82.694091796875,\n 43.929549935614595\n ],\n [\n -82.4853515625,\n 42.97250158602597\n ],\n [\n -81.683349609375,\n 43.33316939281735\n ],\n [\n -81.727294921875,\n 44.09547572946635\n ],\n [\n -81.265869140625,\n 44.63739123445585\n ],\n [\n -81.815185546875,\n 45.52944081525666\n ],\n [\n -82.81494140625,\n 45.79050946752472\n ],\n [\n -83.638916015625,\n 45.9511496866914\n ],\n [\n -84.70458984375,\n 46.057985244793024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568651bce4b0e7594ee74ca5","contributors":{"authors":[{"text":"He, Ji X.","contributorId":53254,"corporation":false,"usgs":true,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":583976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielder, David G.","contributorId":127528,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":583978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":583979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160805,"text":"70160805 - 2015 - Functional role of an endophytic Bacillus amyloliquefaciens in enhancing growth and disease protection of invasive English ivy (Hedera helix L.)","interactions":[],"lastModifiedDate":"2016-07-22T15:35:49","indexId":"70160805","displayToPublicDate":"2015-12-31T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Functional role of an endophytic Bacillus amyloliquefaciens in enhancing growth and disease protection of invasive English ivy (Hedera helix L.)","docAbstract":"We hypothesize that invasive English ivy (Hedera helix) harbors endophytic microbes that promote plant growth and survival. To evaluate this hypothesis, we examined endophytic bacteria in English ivy and evaluated effects on the host plant.
Endophytic bacteria were isolated from multiple populations of English ivy in New Brunswick, NJ. Bacteria were identified as a single species Bacillus amyloliquefaciens. One strain of B. amyloliquefaciens, strain C6c, was characterized for indoleacetic acid (IAA) production, secretion of hydrolytic enzymes, phosphate solubilization, and antibiosis against pathogens. PCR was used to amplify lipopeptide genes and their secretion into culture media was detected by MALDI-TOF mass spectrometry. Capability to promote growth of English ivy was evaluated in greenhouse experiments. The capacity of C6c to protect plants from disease was evaluated by exposing B+ (bacterium inoculated) and B− (non-inoculated) plants to the necrotrophic pathogen Alternaria tenuissima.
B. amyloliquefaciens C6c systemically colonized leaves, petioles, and seeds of English ivy. C6c synthesized IAA and inhibited plant pathogens. MALDI-TOF mass spectrometry analysis revealed secretion of antifungal lipopeptides surfactin, iturin, bacillomycin, and fengycin. C6c promoted the growth of English ivy in low and high soil nitrogen conditions. This endophytic bacterium efficiently controlled disease caused by Alternaria tenuissima.
This study suggests that B. amyloliquefaciens plays an important role in enhancing growth and disease protection of English ivy.
In California, sea-level rise during the 21st century threatens to accelerate coastal cliff recession rates. To forecast such changes for managers and policymakers, models must play a key role. In this paper, we extend a ~70-year long dataset of measured historic sea cliff retreat rates in Southern California into the 21st century using a suite of simple analytical and empirical models. Ensemble results suggest that coastal cliff recession rates could increase on average by 0.09-0.22 m yr-1 for a 0.5-1.0 m rise in sea level by 2100, 27-67% faster than historical rates. The basic models used herein will serve as a baseline against which more complex, process-based and statistical (Bayesian) forecasts will be compared. The application of different models, with varying levels of detail, to the same geomorphic problem will provide a comprehensive forecast and address the question of how to reduce model complexity while minimizing uncertainty.
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Habitat edges are often viewed as predator corridors that surround or penetrate core habitat and increase the risk of predation for nearby nests. We studied the effects of three different types of potential predator corridors (main perimeter roads, field boundaries, and ATV trails within fields) on waterfowl nest survival in California. We measured the distance from duck nests to the nearest edge of each type, and used distance as a covariate in a logistic exposure analysis of nest survival. We found only weak evidence for edge effects due to predation. The best supported model of nest survival included all three distance categories, and while all coefficient estimates were positive (indicating that survival increased with distance from edge), 85% coefficient confidence intervals approached or bounded zero indicating an overall weak effect of habitat edges on nest success. We suggest that given the configuration of edges at our site, there may be few areas far enough from hard edges to be considered ‘core’ habitat, making edge effects on nest survival particularly difficult to detect.
","language":"English","publisher":"Netherlands Ornithologists' Union","publisherLocation":"Amsterdam","doi":"10.5253/arde.v103i2.a4","collaboration":"USFWS; CADFW; UCD","usgsCitation":"Raquel, A.J., Ringelman, K.M., Ackerman, J., and Eadie, J.M., 2015, Habitat edges have weak effects on duck nest survival at local spatial scales: Ardea, v. 103, no. 2, p. 155-162, https://doi.org/10.5253/arde.v103i2.a4.","productDescription":"8 p.","startPage":"155","endPage":"162","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054133","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":313913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e490de4b0e7a44bc419c2","contributors":{"authors":[{"text":"Raquel, Amelia J","contributorId":151064,"corporation":false,"usgs":false,"family":"Raquel","given":"Amelia","email":"","middleInitial":"J","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":584212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringelman, Kevin M.","contributorId":95806,"corporation":false,"usgs":true,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":584213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":584211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":584214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187176,"text":"70187176 - 2015 - A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions","interactions":[],"lastModifiedDate":"2024-07-03T16:07:30.835992","indexId":"70187176","displayToPublicDate":"2015-12-31T10:50:56","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Evaluation of drought and drought impacts through interdisciplinary methods","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Global Change Research Centre","usgsCitation":"Wardlow, B.D., Tadesse, T., Brown, J.F., Svoboda, M., Hayes, M., Callahan, K., Poulsen, C., Hain, C., Anderson, M., Rodell, M., and Mocko, D., 2015, A satellite-based composite index approach for agricultural drought monitoring: Current work and future directions, in Evaluation of drought and drought impacts through interdisciplinary methods, p. 84-89.","productDescription":"6 p.","startPage":"84","endPage":"89","ipdsId":"IP-066843","costCenters":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"links":[{"id":430770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wardlow, Brian D. 0000-0002-4767-581X","orcid":"https://orcid.org/0000-0002-4767-581X","contributorId":191403,"corporation":false,"usgs":false,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, T.","contributorId":191404,"corporation":false,"usgs":false,"family":"Tadesse","given":"T.","affiliations":[],"preferred":false,"id":692936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, M.","contributorId":74604,"corporation":false,"usgs":true,"family":"Svoboda","given":"M.","email":"","affiliations":[],"preferred":false,"id":905592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, M.","contributorId":68138,"corporation":false,"usgs":true,"family":"Hayes","given":"M.","affiliations":[],"preferred":false,"id":905593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Callahan, K.","contributorId":339920,"corporation":false,"usgs":false,"family":"Callahan","given":"K.","email":"","affiliations":[],"preferred":false,"id":905594,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulsen, C.","contributorId":339921,"corporation":false,"usgs":false,"family":"Poulsen","given":"C.","email":"","affiliations":[],"preferred":false,"id":905595,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hain, C.","contributorId":339922,"corporation":false,"usgs":false,"family":"Hain","given":"C.","email":"","affiliations":[],"preferred":false,"id":905596,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, M.","contributorId":63141,"corporation":false,"usgs":true,"family":"Anderson","given":"M.","affiliations":[],"preferred":false,"id":905597,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rodell, M.","contributorId":339923,"corporation":false,"usgs":false,"family":"Rodell","given":"M.","email":"","affiliations":[],"preferred":false,"id":905598,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mocko, D.","contributorId":339924,"corporation":false,"usgs":false,"family":"Mocko","given":"D.","affiliations":[],"preferred":false,"id":905599,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70155008,"text":"70155008 - 2015 - Adapting the U.S. National Hydrography Dataset to linked open data","interactions":[],"lastModifiedDate":"2022-01-04T16:15:23.830197","indexId":"70155008","displayToPublicDate":"2015-12-31T10:10:50","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Adapting the U.S. National Hydrography Dataset to linked open data","docAbstract":"A controlled vocabulary for the National Hydrography Dataset (NHD) of the United States was developed as Linked Open Data (LOD). The vocabulary has two main parts: a glossary and a set of triples reflecting the NHD data model as it is organized in geographic information systems (GIS). The glossary consists of a feature type label and a comment consisting of a definition that is linked to a hydrographic feature type standard. The ontology of the data model consists of classes and properties that group and relate sets of individual features. The objective of the project is to draw on the glossary and the “triplified” data model to build formal semantics for a basic form of NHD as LOD. Modifications were made primarily to the specification of feature types for the data.
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In 2012, the U.S. Geological Survey developed a Phase 1 numerical groundwater model of a complex glacial-sediment aquifer to synthesize hydrogeologic information and simulate potential future pumping scenarios. The model was developed with MODFLOW-NWT, an updated version of a standard USGS numerical groundwater flow modeling program that improves solution of unconfined groundwater flow problems. The groundwater model and investigations of the aquifer improved understanding of groundwater–surface-water interaction and the effects of groundwater withdrawals on surface-water bodies and wetlands in the study area. The initial work also revealed a need for additional information and model refinements to better understand this complex aquifer system.
\nIn this second phase of the study, the original groundwater flow model was revised to improve representation of groundwater and surface-water hydrology, stabilize the model, and reduce model error. The model was simplified by reducing the number of layers from 5 to 3 and adding the MODFLOW lake package (LAK) to simulate Lake Cochituate and Pod Meadow Pond and better represent interaction between the lakes and the aquifer. Model revisions improved stability and shortened run times, allowing use of automated parameter estimation software (PEST) to further refine the model hydraulic parameters and reduce simulation errors.
\nModel simulations indicate that under average base-flow conditions, the Birch Road wells have a small effect on flow in the Sudbury River during most months, even at the maximum pumping rate of 4.9 ft3/s (3.17 Mgal/d). Maximum percent streamflow depletion in the Sudbury River caused by simulated pumping takes place during simulated drought conditions, when streamflow decreased by as much as 21 percent under maximum continuous pumping. Simulations also indicate that groundwater withdrawals at the Birch Road site could be managed so that adverse streamflow impacts are substantially ameliorated. Under the most ecologically conservative simulated drought conditions, simulated streamflow depletion was reduced from 21 percent to 3 percent by pumping at the maximum rate for 6 months rather than for 12 months. Simulations that return 10 percent of the Birch Road well withdrawals to Pod Meadow Pond indicate a modest reduction in the Sudbury River streamflow depletion and provide a larger percentage increase to streamflow just downstream of the pond. The groundwater model also indicates that well locations can have a large effect on the sustainable pumping rate and so should be chosen carefully. The model provides a tool for evaluating alternative pumping rates and schedules not included in this analysis.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155174","collaboration":"Prepared in cooperation with the Town of Framingham, Massachusetts","usgsCitation":"Eggleston, J.R., Zarriello, P.J., and Carlson, C.S., 2015, Groundwater and surface-water interaction and effects of pumping in a complex glacial-sediment aquifer, Phase 2, east-central Massachusetts: U.S. Geological Survey Scientific Investigations Report 2015–5174, 38 p., https://dx.doi.org/10.3133/sir20155174.","productDescription":"viii, 38 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070584","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":312906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5174/sir20155174.pdf","text":"Report","size":"2.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5174"},{"id":312905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5174/coverthb.jpg"}],"country":"United States","state":"Massachusetts","city":"Framingham","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.40366554260254,\n 42.311021393971345\n ],\n [\n -71.40366554260254,\n 42.357085148806945\n ],\n [\n -71.36615753173828,\n 42.357085148806945\n ],\n [\n -71.36615753173828,\n 42.311021393971345\n ],\n [\n -71.40366554260254,\n 42.311021393971345\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at:
http://newengland.water.usgs.gov