{"pageNumber":"147","pageRowStart":"3650","pageSize":"25","recordCount":10458,"records":[{"id":70129458,"text":"70129458 - 2014 - Biological soil crusts across disturbance-recovery scenarios: effect of grazing regime on community dynamics","interactions":[],"lastModifiedDate":"2014-10-23T09:57:40","indexId":"70129458","displayToPublicDate":"2014-10-23T09:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Biological soil crusts across disturbance-recovery scenarios: effect of grazing regime on community dynamics","docAbstract":"Grazing represents one of the most common disturbances in drylands worldwide, affecting both ecosystem structure and functioning. Despite the efforts to understand the nature and magnitude of grazing effects on ecosystem components and processes, contrasting results continue to arise. This is particularly remarkable for the biological soil crust (BSC) communities (i.e., cyanobacteria, lichens, and bryophytes), which play an important role in soil dynamics. Here we evaluated simultaneously the effect of grazing impact on BSC communities (resistance) and recovery after livestock exclusion (resilience) in a semiarid grassland of Central Mexico. In particular, we examined BSC species distribution, species richness, taxonomical group cover (i.e., cyanobacteria, lichen, bryophyte), and composition along a disturbance gradient with different grazing regimes (low, medium, high impact) and along a recovery gradient with differently aged livestock exclosures (short-, medium-, long-term exclusion). Differences in grazing impact and time of recovery from grazing both resulted in slight changes in species richness; however, there were pronounced shifts in species composition and group cover. We found we could distinguish four highly diverse and dynamic BSC species groups: (1) species with high resistance and resilience to grazing, (2) species with high resistance but low resilience, (3) species with low resistance but high resilience, and (4) species with low resistance and resilience. While disturbance resulted in a novel diversity configuration, which may profoundly affect ecosystem functioning, we observed that 10 years of disturbance removal did not lead to the ecosystem structure found after 27 years of recovery. These findings are an important contribution to our understanding of BCS dynamics from a species and community perspective placed in a land use change context.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1416.1","usgsCitation":"Concostrina-Zubiri, L., Huber-Sannwald, E., Martinez, I., Flores Flores, J.L., Reyes-Aguero, J.A., Escudero, A., and Belnap, J., 2014, Biological soil crusts across disturbance-recovery scenarios: effect of grazing regime on community dynamics: Ecological Applications, v. 24, no. 7, p. 1863-1877, https://doi.org/10.1890/13-1416.1.","productDescription":"15 p.","startPage":"1863","endPage":"1877","numberOfPages":"15","ipdsId":"IP-053107","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":295634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1416.1"}],"country":"Mexico","volume":"24","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"544a0a8be4b04d2014abfafe","contributors":{"authors":[{"text":"Concostrina-Zubiri, L.","contributorId":78265,"corporation":false,"usgs":true,"family":"Concostrina-Zubiri","given":"L.","email":"","affiliations":[],"preferred":false,"id":503737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber-Sannwald, E.","contributorId":41255,"corporation":false,"usgs":true,"family":"Huber-Sannwald","given":"E.","affiliations":[],"preferred":false,"id":503735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinez, I.","contributorId":31696,"corporation":false,"usgs":true,"family":"Martinez","given":"I.","email":"","affiliations":[],"preferred":false,"id":503734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flores Flores, J. L.","contributorId":9985,"corporation":false,"usgs":true,"family":"Flores Flores","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reyes-Aguero, J. A.","contributorId":16341,"corporation":false,"usgs":true,"family":"Reyes-Aguero","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Escudero, A.","contributorId":45652,"corporation":false,"usgs":true,"family":"Escudero","given":"A.","email":"","affiliations":[],"preferred":false,"id":503736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":503731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70129434,"text":"70129434 - 2014 - A new species of small-eared shrew (Mammalia, Eulipotyphla, Cryptotis) from the Lacandona rain forest, Mexico","interactions":[],"lastModifiedDate":"2014-12-02T14:22:26","indexId":"70129434","displayToPublicDate":"2014-10-22T13:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"A new species of small-eared shrew (Mammalia, Eulipotyphla, Cryptotis) from the Lacandona rain forest, Mexico","docAbstract":"

The diversity and distribution of mammals in the American tropics remain incompletely known. We describe a new species of small-eared shrew (Soricidae, Cryptotis) from the Lacandona rain forest, Chiapas, southern Mexico. The new species is distinguished from other species of Cryptotis on the basis of a unique combination of pelage coloration, size, dental, cranial, postcranial, and external characters, and genetic distances. It appears most closely related to species in the Cryptotis nigrescens species group, which occurs from southern Mexico to montane regions of Colombia. This discovery is particularly remarkable because the new species is from a low-elevation habitat (approximately 90 m), whereas most shrews in the region are restricted to higher elevations, typically > 1,000 m. The only known locality for the new shrew is in one of the last areas in southern Mexico where relatively undisturbed tropical vegetation is still found. The type locality is protected by the Mexican government as part of the Yaxchilán Archaeological Site on the border between Mexico and Guatemala.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/14-MAMM-A-018","usgsCitation":"Guevara, L., Sánchez-Cordero, V., Leon-Paniagua, L., and Woodman, N., 2014, A new species of small-eared shrew (Mammalia, Eulipotyphla, Cryptotis) from the Lacandona rain forest, Mexico: Journal of Mammalogy, v. 95, no. 4, p. 739-753, https://doi.org/10.1644/14-MAMM-A-018.","productDescription":"15 p.","startPage":"739","endPage":"753","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055691","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472683,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/14-mamm-a-018","text":"Publisher Index Page"},{"id":295609,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295608,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/https://dx.doi.org/10.1644/14-MAMM-A-018"}],"country":"Mexico","state":"Chiapas","otherGeospatial":"Lacandona rain forest","volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"5448b907e4b0f888a81b8799","contributors":{"authors":[{"text":"Guevara, Lazaro","contributorId":74696,"corporation":false,"usgs":true,"family":"Guevara","given":"Lazaro","email":"","affiliations":[],"preferred":false,"id":503720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sánchez-Cordero, Víctor","contributorId":15544,"corporation":false,"usgs":true,"family":"Sánchez-Cordero","given":"Víctor","affiliations":[],"preferred":false,"id":503718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leon-Paniagua, Livia","contributorId":65780,"corporation":false,"usgs":true,"family":"Leon-Paniagua","given":"Livia","email":"","affiliations":[],"preferred":false,"id":503719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":503717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129419,"text":"70129419 - 2014 - Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?","interactions":[],"lastModifiedDate":"2014-10-24T09:04:52","indexId":"70129419","displayToPublicDate":"2014-10-22T09:08:00","publicationYear":"2014","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":"Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?","docAbstract":"Restoration of riparian forest productivity lost as a consequence of flow regulation is a common management goal in dryland riverine ecosystems. In the northern hemisphere, dryland river floodplain trees often include one or another species of Populus, which are fast-growing, nutrient-demanding trees. Because the trees are phreatophytic in drylands, and have water needs met in whole or in part by a shallow water table, their productivity may be limited by nitrogen (N) availability, which commonly limits primary productivity in mesic environments. We added 20 g N m−2 in a 2-m radius around the base of mature Populus fremontii along each of a regulated and free-flowing river in semiarid northwest Colorado, USA (total n = 42) in order to test whether growth is constrained by low soil N. Twelve years after fertilization, we collected increment cores from these and matched unfertilized trees and compared radial growth ratios (growth in the 3-year post-fertilization period/growth in the 3-year pre-fertilization period) in paired t tests. We expected a higher mean ratio in the fertilized trees. No effect from fertilization was detected, nor was a trend evident on either river. An alternative test using analysis of covariance (ANCOVA) produced a similar result. Our results underscore the need for additional assessment of which and to what extent factors other than water control dryland riverine productivity. Positive confirmation of adequate soil nutrients at these and other dryland riparian sites would bolster the argument that flow management is necessary and sufficient to maximize productivity and enhance resilience in affected desert riverine forests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/rec.12104","usgsCitation":"Andersen, D., Adair, E.C., Nelson, S.M., and Binkley, D., 2014, Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?: Restoration Ecology, v. 22, no. 5, p. 582-589, https://doi.org/10.1111/rec.12104.","productDescription":"8 p.","startPage":"582","endPage":"589","numberOfPages":"8","ipdsId":"IP-055259","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12104","text":"Publisher Index Page"},{"id":295599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295595,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/rec.12104"}],"country":"United States","state":"Colorado","volume":"22","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-22","publicationStatus":"PW","scienceBaseUri":"5448b90ae4b0f888a81b879d","chorus":{"doi":"10.1111/rec.12104","url":"http://dx.doi.org/10.1111/rec.12104","publisher":"Wiley-Blackwell","authors":"Andersen Douglas C., Adair Elizabeth Carol, Nelson Sigfrid Mark, Binkley Dan","journalName":"Restoration Ecology","publicationDate":"5/22/2014"},"contributors":{"authors":[{"text":"Andersen, Douglas C. doug_andersen@usgs.gov","contributorId":2216,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas C.","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":503698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adair, Elizabeth Carol","contributorId":74695,"corporation":false,"usgs":true,"family":"Adair","given":"Elizabeth","email":"","middleInitial":"Carol","affiliations":[],"preferred":false,"id":503700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Sigfrid Mark","contributorId":46438,"corporation":false,"usgs":true,"family":"Nelson","given":"Sigfrid","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":503699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binkley, Dan","contributorId":103978,"corporation":false,"usgs":true,"family":"Binkley","given":"Dan","affiliations":[],"preferred":false,"id":503701,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148341,"text":"70148341 - 2014 - Loess as a Quaternary paleoenvironmental indicator","interactions":[],"lastModifiedDate":"2017-06-07T10:27:04","indexId":"70148341","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5297,"text":"Past Global Changes","active":true,"publicationSubtype":{"id":10}},"title":"Loess as a Quaternary paleoenvironmental indicator","docAbstract":"

Loess is aeolian sediment that is dominated by silt-sized particles. Unlike either coarser dune sand or finer-grained, long-range-transported dust, loess is relatively poorly sorted, reflecting a combination of transport processes, including saltation, low suspension, and high suspension. Loess can be readily identified in the field; deposits range in thickness from a few centimeters to many tens of meters, and are found over large areas of Eurasia, South and North America (Fig. 1), and smaller areas of New Zealand, Australia, Africa and the Middle East. Loess covers approximately 10% of the Earth’s land surface and is therefore one of the most important terrestrial archives of paleoenvironmental change during the Quaternary. In many regions, loess sections consist of deposits of mostly unaltered sediment with intercalated paleosols. Paleosols represent periods of landscape stability when loess deposition ceased altogether, or at least slowed significantly. Loess can be dated directly using luminescence, radiocarbon, and amino acid geochronology methods.

","language":"English","publisher":"International Geosphere Biosphere Programme Global Change","doi":"10.22498/pages.22.2","usgsCitation":"Muhs, D., Prins, M., and Machalett, B., 2014, Loess as a Quaternary paleoenvironmental indicator: Past Global Changes, v. 22, no. 2, p. 84-85, https://doi.org/10.22498/pages.22.2.","productDescription":"2 p.","startPage":"84","endPage":"85","ipdsId":"IP-055146","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22498/pages.22.2","text":"Publisher Index Page"},{"id":342203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88d4","contributors":{"authors":[{"text":"Muhs, Daniel R. dmuhs@usgs.gov","contributorId":140959,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":547733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prins, M.A.","contributorId":140960,"corporation":false,"usgs":false,"family":"Prins","given":"M.A.","email":"","affiliations":[{"id":13630,"text":"Faculty of Earth and Life Sciences, VU University Amsterdam, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":547734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Machalett, B.","contributorId":140961,"corporation":false,"usgs":false,"family":"Machalett","given":"B.","email":"","affiliations":[{"id":13631,"text":"Institute of Geography, Humboldt-Universität zu Berlin, Germany and Department of Natural and Applied Sciences, Bentley University, Waltham,","active":true,"usgs":false}],"preferred":false,"id":547735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70128987,"text":"70128987 - 2014 - Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data","interactions":[],"lastModifiedDate":"2014-12-12T15:01:45","indexId":"70128987","displayToPublicDate":"2014-10-16T10:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data","docAbstract":"

Surface creep rate, observed along five branches of the dextral San Andreas fault system in northern California, varies considerably from one section to the next, indicating that so too may the depth at which the faults are locked. We model locking on 29 fault sections using each section’s mean long‐term creep rate and the consensus values of fault width and geologic slip rate. Surface creep rate observations from 111 short‐range alignment and trilateration arrays and 48 near‐fault, Global Positioning System station pairs are used to estimate depth of creep, assuming an elastic half‐space model and adjusting depth of creep iteratively by trial and error to match the creep observations along fault sections. Fault sections are delineated either by geometric discontinuities between them or by distinctly different creeping behaviors. We remove transient rate changes associated with five large (M≥5.5) regional earthquakes. Estimates of fraction locked, the ratio of moment accumulation rate to loading rate, on each section of the fault system provide a uniform means to inform source parameters relevant to seismic‐hazard assessment. From its mean creep rates, we infer the main branch (the San Andreas fault) ranges from only 20%±10% locked on its central creeping section to 99%–100% on the north coast. From mean accumulation rates, we infer that four urban faults appear to have accumulated enough seismic moment to produce major earthquakes: the northern Calaveras (M 6.8), Hayward (M 6.8), Rodgers Creek (M 7.1), and Green Valley (M 7.1). The latter three faults are nearing or past their mean recurrence interval.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140117","usgsCitation":"Lienkaemper, J.J., McFarland, F.S., Simpson, R.W., and Caskey, S., 2014, Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data: Bulletin of the Seismological Society of America, v. 104, no. 6, p. 3094-3114, https://doi.org/10.1785/0120140117.","productDescription":"21 p.","startPage":"3094","endPage":"3114","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056497","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":295379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295344,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120140117"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault system","volume":"104","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-10-14","publicationStatus":"PW","scienceBaseUri":"5440d005e4b0b0a643c73298","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":503253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Forrest S.","contributorId":32104,"corporation":false,"usgs":true,"family":"McFarland","given":"Forrest","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":503255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":503252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caskey, S. John","contributorId":21483,"corporation":false,"usgs":true,"family":"Caskey","given":"S. John","affiliations":[],"preferred":false,"id":503254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133236,"text":"70133236 - 2014 - Northeast regional and state trends in anuran occupancy from calling survey data (2001-2011) from the North American Amphibian Monitoring Program","interactions":[],"lastModifiedDate":"2014-11-14T15:59:50","indexId":"70133236","displayToPublicDate":"2014-10-12T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Northeast regional and state trends in anuran occupancy from calling survey data (2001-2011) from the North American Amphibian Monitoring Program","docAbstract":"

We present the first regional trends in anuran occupancy from North American Amphibian Monitoring Program (NAAMP) data from 11 northeastern states using an 11 years of data. NAAMP is a long-term monitoring program where observers collect data at assigned random roadside routes using a calling survey technique. We assessed occupancy trends for 17 species. Eight species had statistically significant regional trends, of these seven were negative (Anaxyrus fowleri, Acris crepitans, Pseudacris brachyphona, Pseudacris feriarum-kalmi complex, Lithobates palustris, Lithobates pipiens, and Lithobates sphenocephalus) and one was positive (Hyla versicolor-chrysoscelis complex). We also assessed state level trends for 101 species/state combinations, of these 29 showed a significant decline and nine showed a significant increase in occupancy.

","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","usgsCitation":"Weir, L., Royle, J., Gazenski, K.D., and Villena Carpio, O., 2014, Northeast regional and state trends in anuran occupancy from calling survey data (2001-2011) from the North American Amphibian Monitoring Program: Herpetological Conservation and Biology, v. 9, no. 2, p. 223-245.","productDescription":"23 p.","startPage":"223","endPage":"245","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049585","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295962,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol9_issue2.html"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546727bee4b04d4b7dbde889","contributors":{"authors":[{"text":"Weir, Linda A. lweir@usgs.gov","contributorId":3201,"corporation":false,"usgs":true,"family":"Weir","given":"Linda A.","email":"lweir@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":524935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gazenski, Kimberly D.","contributorId":55306,"corporation":false,"usgs":true,"family":"Gazenski","given":"Kimberly","email":"","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villena Carpio, Oswaldo ovillenacarpio@usgs.gov","contributorId":127375,"corporation":false,"usgs":true,"family":"Villena Carpio","given":"Oswaldo","email":"ovillenacarpio@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":524937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132466,"text":"70132466 - 2014 - High-resolution delineation of chlorinated volatile organic compounds in a dipping, fractured mudstone: depth- and strata-dependent spatial variability from rock-core sampling","interactions":[],"lastModifiedDate":"2018-09-14T16:01:01","indexId":"70132466","displayToPublicDate":"2014-10-12T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution delineation of chlorinated volatile organic compounds in a dipping, fractured mudstone: depth- and strata-dependent spatial variability from rock-core sampling","docAbstract":"

Synthesis of rock-core sampling and chlorinated volatile organic compound (CVOC) analysis at five coreholes, with hydraulic and water-quality monitoring and a detailed hydrogeologic framework, was used to characterize the fine-scale distribution of CVOCs in dipping, fractured mudstones of the Lockatong Formation of Triassic age, of the Newark Basin in West Trenton, New Jersey. From these results, a refined conceptual model for more than 55 years of migration of CVOCs and depth- and strata-dependent rock-matrix contamination was developed. Industrial use of trichloroethene (TCE) at the former Naval Air Warfare Center (NAWC) from 1953 to 1995 resulted in dense non-aqueous phase liquid (DNAPL) TCE and dissolved TCE and related breakdown products, including other CVOCs, in underlying mudstones. Shallow highly weathered and fractured strata overlie unweathered, gently dipping, fractured strata that become progressively less fractured with depth. The unweathered lithology includes black highly fractured (fissile) carbon-rich strata, gray mildly fractured thinly layered (laminated) strata, and light-gray weakly fractured massive strata. CVOC concentrations in water samples pumped from the shallow weathered and highly fractured strata remain elevated near residual DNAPL TCE, but dilution by uncontaminated recharge, and other natural and engineered attenuation processes, have substantially reduced concentrations along flow paths removed from sources and residual DNAPL. CVOCs also were detected in most rock-core samples in source areas in shallow wells. In many locations, lower aqueous concentrations, compared to rock core concentrations, suggest that CVOCs are presently back-diffusing from the rock matrix. Below the weathered and highly fractured strata, and to depths of at least 50 meters (m), groundwater flow and contaminant transport is primarily in bedding-plane-oriented fractures in thin fissile high-carbon strata, and in fractured, laminated strata of the gently dipping mudstones. Despite more than 18 years of pump and treat (P&T) remediation, and natural attenuation processes, CVOC concentrations in aqueous samples pumped from these deeper strata remain elevated in isolated intervals. DNAPL was detected in one borehole during coring at a depth of 27 m. In contrast to core samples from the weathered zone, concentrations in core samples from deeper unweathered and unfractured strata are typically below detection. However, high CVOC concentrations were found in isolated samples from fissile black carbon-rich strata and fractured gray laminated strata. Aqueous-phase concentrations were correspondingly high in samples pumped from these strata via short-interval wells or packer-isolated zones in long boreholes. A refined conceptual site model considers that prior to P&T remediation groundwater flow was primarily subhorizontal in the higher-permeability near surface strata, and the bulk of contaminant mass was shallow. CVOCs diffused into these fractured and weathered mudstones. DNAPL and high concentrations of CVOCs migrated slowly down in deeper unweathered strata, primarily along isolated dipping bedding-plane fractures. After P&T began in 1995, using wells open to both shallow and deep strata, downward transport of dissolved CVOCs accelerated. Diffusion of TCE and other CVOCs from deeper fractures penetrated only a few centimeters into the unweathered rock matrix, likely due to sorption of CVOCs on rock organic carbon. Remediation in the deep, unweathered strata may benefit from the relatively limited migration of CVOCs into the rock matrix. Synthesis of rock core sampling from closely spaced boreholes with geophysical logging and hydraulic testing improves understanding of the controls on CVOC delineation and informs remediation design and monitoring.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2014.10.005","usgsCitation":"Goode, D., Imbrigiotta, T., and Lacombe, P., 2014, High-resolution delineation of chlorinated volatile organic compounds in a dipping, fractured mudstone: depth- and strata-dependent spatial variability from rock-core sampling: Journal of Contaminant Hydrology, v. 171, p. 1-11, https://doi.org/10.1016/j.jconhyd.2014.10.005.","productDescription":"11 p.","startPage":"1","endPage":"11","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051397","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":296109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","otherGeospatial":"Newark Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.81640625,\n 40.38839687388361\n ],\n [\n -76.81640625,\n 41.541477666790286\n ],\n [\n -73.85009765625,\n 41.541477666790286\n ],\n [\n -73.85009765625,\n 40.38839687388361\n ],\n [\n -76.81640625,\n 40.38839687388361\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"171","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546727b8e4b04d4b7dbde857","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":2466,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas E.","email":"timbrig@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacombe, Pierre J. placombe@usgs.gov","contributorId":2486,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre J.","email":"placombe@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159633,"text":"70159633 - 2014 - Identifying the pollen of an extinct spruce species in the Late Quaternary sediments of the Tunica Hills region, south-eastern United States","interactions":[],"lastModifiedDate":"2015-11-16T15:28:31","indexId":"70159633","displayToPublicDate":"2014-10-10T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the pollen of an extinct spruce species in the Late Quaternary sediments of the Tunica Hills region, south-eastern United States","docAbstract":"

Late Quaternary fluvial deposits in the Tunica Hills region of Louisiana and Mississippi are rich in spruce macrofossils of the extinct species Picea critchfieldii, the one recognized plant extinction of the Late Quaternary. However, the morphology of P. critchfieldii pollen is unknown, presenting a barrier to the interpretation of pollen spectra from the last glacial of North America. To address this issue, we undertook a morphometric study of Picea pollen from Tunica Hills. Morphometric data, together with qualitative observations of pollen morphology using Apotome fluorescence microscopy, indicate that Picea pollen from Tunica Hills is morphologically distinct from the pollen of P. glauca, P. mariana and P. rubens. Measurements of grain length, corpus width and corpus height indicate that Picea pollen from Tunica Hills is larger than the pollen of P. mariana and P. rubens, and is slightly larger than P. glauca pollen. We argue that the morphologically distinctive Tunica Hills Picea pollen was probably produced by the extinct spruce species P. critchfieldii. These morphological differences could be used to identify P. critchfieldii in existing and newly collected pollen records, which would refine its paleoecologic and biogeographic history and clarify the nature and timing of its extinction in the Late Quaternary.

","language":"English","publisher":"Published for the Quaternary Research Association [by] Longman","publisherLocation":"Harlow, Essex","doi":"10.1002/jqs.2745","usgsCitation":"Mander, L., Rodriguez, J., Mueller, P.G., Jackson, S.T., and Punyasena, S.W., 2014, Identifying the pollen of an extinct spruce species in the Late Quaternary sediments of the Tunica Hills region, south-eastern United States: Journal of Quaternary Science, v. 29, no. 7, p. 711-721, https://doi.org/10.1002/jqs.2745.","productDescription":"11 p.","startPage":"711","endPage":"721","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055542","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":311393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","otherGeospatial":"Tunica Hills region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.4556884765625,\n 31.77020763186669\n ],\n [\n -90.999755859375,\n 31.67909579713163\n ],\n [\n -90.65917968749999,\n 31.571515531519776\n ],\n [\n -90.5108642578125,\n 31.42163196041962\n ],\n [\n -90.3076171875,\n 30.94463573937753\n ],\n [\n -90.3460693359375,\n 30.313616689930676\n ],\n [\n -90.7196044921875,\n 30.15462722077597\n ],\n [\n -91.24420166015624,\n 30.071470887901302\n ],\n [\n -91.8841552734375,\n 30.14512718337613\n ],\n [\n -92.3455810546875,\n 30.287531589298727\n ],\n [\n -92.4334716796875,\n 31.44741029142872\n ],\n [\n -92.2906494140625,\n 31.751525328078905\n ],\n [\n -91.9281005859375,\n 31.812229022640732\n ],\n [\n -91.4556884765625,\n 31.77020763186669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-10","publicationStatus":"PW","scienceBaseUri":"564b0c4de4b0ebfbef0d315b","contributors":{"authors":[{"text":"Mander, Luke","contributorId":149850,"corporation":false,"usgs":false,"family":"Mander","given":"Luke","email":"","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":579805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Jacklyn","contributorId":149851,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Jacklyn","email":"","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":579806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Pietra G.","contributorId":149852,"corporation":false,"usgs":false,"family":"Mueller","given":"Pietra","email":"","middleInitial":"G.","affiliations":[{"id":17841,"text":"Illinois State Museum","active":true,"usgs":false}],"preferred":false,"id":579807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":579804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Punyasena, Surangi W.","contributorId":149853,"corporation":false,"usgs":false,"family":"Punyasena","given":"Surangi","email":"","middleInitial":"W.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":579808,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70128550,"text":"70128550 - 2014 - Comparing bacterial community composition of healthy and dark spot-affected Siderastrea siderea in Florida and the Caribbean","interactions":[],"lastModifiedDate":"2014-10-09T14:50:42","indexId":"70128550","displayToPublicDate":"2014-10-09T14:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Comparing bacterial community composition of healthy and dark spot-affected Siderastrea siderea in Florida and the Caribbean","docAbstract":"Coral disease is one of the major causes of reef degradation. Dark Spot Syndrome (DSS) was described in the early 1990's as brown or purple amorphous areas of tissue on a coral and has since become one of the most prevalent diseases reported on Caribbean reefs. It has been identified in a number of coral species, but there is debate as to whether it is in fact the same disease in different corals. Further, it is questioned whether these macroscopic signs are in fact diagnostic of an infectious disease at all. The most commonly affected species in the Caribbean is the massive starlet coral Siderastrea siderea. We sampled this species in two locations, Dry Tortugas National Park and Virgin Islands National Park. Tissue biopsies were collected from both healthy colonies and those with dark spot lesions. Microbial-community DNA was extracted from coral samples (mucus, tissue, and skeleton), amplified using bacterial-specific primers, and applied to PhyloChip G3 microarrays to examine the bacterial diversity associated with this coral. Samples were also screened for the presence of a fungal ribotype that has recently been implicated as a causative agent of DSS in another coral species, but the amplifications were unsuccessful. S. siderea samples did not cluster consistently based on health state (i.e., normal versus dark spot). Various bacteria, including Cyanobacteria and Vibrios, were observed to have increased relative abundance in the discolored tissue, but the patterns were not consistent across all DSS samples. Overall, our findings do not support the hypothesis that DSS in S. siderea is linked to a bacterial pathogen or pathogens. This dataset provides the most comprehensive overview to date of the bacterial community associated with the scleractinian coral S. siderea.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0108767","usgsCitation":"Kellogg, C.A., Piceno, Y.M., Tom, L., DeSantis, T., Gray, M.A., and Andersen, G., 2014, Comparing bacterial community composition of healthy and dark spot-affected Siderastrea siderea in Florida and the Caribbean: PLoS ONE, v. 9, no. 10, 9 p., https://doi.org/10.1371/journal.pone.0108767.","productDescription":"9 p.","numberOfPages":"9","ipdsId":"IP-059252","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0108767","text":"Publisher Index Page"},{"id":295188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295185,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0108767"}],"country":"United States","state":"Florida","otherGeospatial":"Caribbean Sea, Dry Tortugas National Park, Virgin Islands National Park","volume":"9","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-10-07","publicationStatus":"PW","scienceBaseUri":"54379587e4b08a816ca63609","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":503031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piceno, Yvette M.","contributorId":8782,"corporation":false,"usgs":true,"family":"Piceno","given":"Yvette","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tom, Lauren M.","contributorId":65025,"corporation":false,"usgs":true,"family":"Tom","given":"Lauren M.","affiliations":[],"preferred":false,"id":503035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSantis, Todd Z.","contributorId":70712,"corporation":false,"usgs":true,"family":"DeSantis","given":"Todd Z.","affiliations":[],"preferred":false,"id":503036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":503032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, Gary L.","contributorId":20679,"corporation":false,"usgs":true,"family":"Andersen","given":"Gary L.","affiliations":[],"preferred":false,"id":503034,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127378,"text":"70127378 - 2014 - Mountain pine beetle-caused mortality over eight years in two pine hosts in mixed conifer stands of the southern Rocky Mountains","interactions":[],"lastModifiedDate":"2014-10-07T10:35:10","indexId":"70127378","displayToPublicDate":"2014-10-07T10:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Mountain pine beetle-caused mortality over eight years in two pine hosts in mixed conifer stands of the southern Rocky Mountains","docAbstract":"Eruptive mountain pine beetle (Dendroctonus ponderosae, MPB) populations have caused widespread mortality of pines throughout western North America since the late 1990s. Early work by A.D. Hopkins suggested that when alternate host species are available, MPB will prefer to breed in the host to which it has become adapted. In Colorado, epidemic MPB populations that originated in lodgepole pine expanded into mixed-conifer stands containing ponderosa pine, a related host. We evaluated the susceptibility of both hosts to successful MPB colonization in a survey of 19 sites in pine-dominated mixed-conifer stands spanning 140 km of the Front Range, CO, USA. In each of three 0.2-ha plots at each site, we (1) assessed trees in the annual flights of 2008–2011 to compare MPB-caused mortality between lodgepole and ponderosa pine; (2) recorded previous MPB-caused tree mortality from 2004–2007 to establish baseline mortality levels; and (3) measured characteristics of the stands (e.g. tree basal area) and sites (e.g. elevation, aspect) that might be correlated with MPB colonization. Uninfested average live basal area of lodgepole and ponderosa pine was 74% of total basal area before 2004. We found that for both species, annual percent basal area of attacked trees was greatest in one year (2009), and was lower in all other years (2004–2007, 2008, 2010, and 2011). Both pine species had similar average total mortality of 38–39% by 2011. Significant predictors of ponderosa pine mortality in a given year were basal area of uninfested ponderosa pine and the previous year’s mortality levels in both ponderosa and lodgepole pine. Lodgepole pine mortality was predicted by uninfested basal areas of both lodgepole and ponderosa pine, and the previous year’s lodgepole pine mortality. These results indicate host selection by MPB from lodgepole pine natal hosts into ponderosa pine the following year, but not the reverse. In both species, diameters of attacked trees within each year were similar, and were progressively smaller the last four years of the study period. Our results suggest that, in contrast to previous reports, ponderosa and lodgepole pine were equally susceptible to MPB infestation in the CO Front Range during our study period. This suggests that forest managers may anticipate similar impacts in both hosts during similar environmental conditions when epidemic-level MPB populations are active in mixed-pine stands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2014.09.012","usgsCitation":"West, D., Briggs, J.S., Jacobi, W., and Negron, J.F., 2014, Mountain pine beetle-caused mortality over eight years in two pine hosts in mixed conifer stands of the southern Rocky Mountains: Forest Ecology and Management, v. 334, no. 15, p. 321-330, https://doi.org/10.1016/j.foreco.2014.09.012.","productDescription":"10 p.","startPage":"321","endPage":"330","ipdsId":"IP-057980","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":294986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294985,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2014.09.012"}],"country":"United States","state":"Colorado","otherGeospatial":"Front Range","volume":"334","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5434f286e4b0a4f4b46a2360","contributors":{"authors":[{"text":"West, Daniel R.","contributorId":36875,"corporation":false,"usgs":true,"family":"West","given":"Daniel R.","affiliations":[],"preferred":false,"id":502320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Jennifer S.","contributorId":106035,"corporation":false,"usgs":true,"family":"Briggs","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":502321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobi, William R.","contributorId":8016,"corporation":false,"usgs":true,"family":"Jacobi","given":"William R.","affiliations":[],"preferred":false,"id":502318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Negron, Jose F.","contributorId":10734,"corporation":false,"usgs":true,"family":"Negron","given":"Jose","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":502319,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70100139,"text":"70100139 - 2014 - Comparing species distribution models constructed with different subsets of environmental predictors","interactions":[],"lastModifiedDate":"2014-12-12T15:00:28","indexId":"70100139","displayToPublicDate":"2014-10-07T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Comparing species distribution models constructed with different subsets of environmental predictors","docAbstract":"

Aim

\n

To assess the usefulness of combining climate predictors with additional types of environmental predictors in species distribution models for range-restricted species, using common correlative species distribution modelling approaches.

\n

 

\n

Location

\n

Florida, USA

\n

 

\n

Methods

\n

We used five different algorithms to create distribution models for 14 vertebrate species, using seven different predictor sets: two with bioclimate predictors only, and five ‘combination’ models using bioclimate predictors plus ‘additional’ predictors from groups representing: human influence, land cover, extreme weather or noise (spatially random data).We use a linear mixed-model approach to analyse the effects of predictor set and algorithm on model accuracy, variable importance scores and spatial predictions.

\n

 

\n

Results

\n

Regardless of modelling algorithm, no one predictor set produced significantly more accurate models than all others, though models including human influence predictors were the only ones with significantly higher accuracy than climate-only models. Climate predictors had consistently higher variable importance scores than additional predictors in combination models, though there was variation related to predictor type and algorithm. While spatial predictions varied moderately between predictor sets, discrepancies were significantly greater between modelling algorithms than between predictor sets. Furthermore, there were no differences in the level of agreement between binary ‘presence–absence’ maps and independent species range maps related to the predictor set used.

\n

 

\n

Main conclusions

\n

Our results indicate that additional predictors have relatively minor effects on the accuracy of climate-based species distribution models and minor to moderate effects on spatial predictions. We suggest that implementing species distribution models with only climate predictors may provide an effective and efficient approach for initial assessments of environmental suitability.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ddi.12247","usgsCitation":"Bucklin, D., Basille, M., Benscoter, A.M., Brandt, L., Mazzotti, F., Romañach, S., Speroterra, C., and Watling, J.I., 2014, Comparing species distribution models constructed with different subsets of environmental predictors: Diversity and Distributions, v. 21, no. 1, p. 23-35, https://doi.org/10.1111/ddi.12247.","productDescription":"13 p.","startPage":"23","endPage":"35","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051786","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":294979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294978,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12247"}],"country":"United States","state":"Florida","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"5434f285e4b0a4f4b46a235a","chorus":{"doi":"10.1111/ddi.12247","url":"http://dx.doi.org/10.1111/ddi.12247","publisher":"Wiley-Blackwell","authors":"Bucklin David N., Basille Mathieu, Benscoter Allison M., Brandt Laura A., Mazzotti Frank J., Romañach Stephanie S., Speroterra Carolina, Watling James I.","journalName":"Diversity and Distributions","publicationDate":"8/21/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Bucklin, David N.","contributorId":58963,"corporation":false,"usgs":true,"family":"Bucklin","given":"David N.","affiliations":[],"preferred":false,"id":492121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basille, Mathieu","contributorId":33246,"corporation":false,"usgs":true,"family":"Basille","given":"Mathieu","affiliations":[],"preferred":false,"id":492118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benscoter, Allison M.","contributorId":57781,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":23089,"corporation":false,"usgs":true,"family":"Brandt","given":"Laura A.","affiliations":[],"preferred":false,"id":492117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":90236,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank J.","affiliations":[],"preferred":false,"id":492122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":492115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Speroterra, Carolina","contributorId":34451,"corporation":false,"usgs":true,"family":"Speroterra","given":"Carolina","affiliations":[],"preferred":false,"id":492119,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Watling, James I.","contributorId":10352,"corporation":false,"usgs":true,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":492116,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70133234,"text":"70133234 - 2014 - Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","interactions":[],"lastModifiedDate":"2020-12-21T17:19:59.535568","indexId":"70133234","displayToPublicDate":"2014-10-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":739,"text":"American Museum Novitates","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","title":"Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa","docAbstract":"

Vampyressa melissa is a poorly known phyllostomid bat listed as vulnerable by the International Union for Conservation of Nature (IUCN). Since its description in 1926, fewer than 40 V. melissa have been reported in the literature, and less than half of these may have been correctly identified. During revisionary studies of Vampyressa, we uncovered two previously unrecognized species related to V. melissa, all associated with higher elevation habitats (>1400 m), one from the Andes of Colombia (Vampyressa sinchi, new species) and the other from western Panama (Vampyressa elisabethae, new species) revealing that V. melissa, as traditionally defined, is a composite of at least three species. In this paper, we provide a restricted diagnosis for the genus Vampyressa, an emended diagnosis of V. melissa, and descriptions of the two new species. The separation of these frugivorous bats, previously identified as V. melissa, into three isolated upper-elevation species, each having restricted distributions further highlights their fragile conservation status.

","language":"English","publisher":"American Museum of Natural History","doi":"10.1206/3813.1","usgsCitation":"Tavares, V.D., Gardner, A., Ramirez-Chaves, H.E., and Velazco, P.M., 2014, Systematics of Vampyressa melissa Thomas, 1926 (Chiroptera, Phyllostomidae), with descriptions of two new species of Vampyressa: American Museum Novitates, 3813, 27 p., https://doi.org/10.1206/3813.1.","productDescription":"3813, 27 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056566","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1206/3813.1","text":"Publisher Index Page"},{"id":296156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546c762fe4b0f4a3478a61a8","contributors":{"authors":[{"text":"Tavares, Valeria da C.","contributorId":127474,"corporation":false,"usgs":false,"family":"Tavares","given":"Valeria","email":"","middleInitial":"da C.","affiliations":[{"id":7022,"text":"Instituto Nacional de Pesquisas da Amazônia (INPA), Brazil","active":true,"usgs":false}],"preferred":false,"id":525348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Alfred L. 0000-0002-4945-1641 agardner@usgs.gov","orcid":"https://orcid.org/0000-0002-4945-1641","contributorId":412,"corporation":false,"usgs":true,"family":"Gardner","given":"Alfred L.","email":"agardner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Chaves, Hector E.","contributorId":127475,"corporation":false,"usgs":false,"family":"Ramirez-Chaves","given":"Hector","email":"","middleInitial":"E.","affiliations":[{"id":7031,"text":"School of Biological Sciences, University of Queensland","active":true,"usgs":false}],"preferred":false,"id":525349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velazco, Paul M.","contributorId":64781,"corporation":false,"usgs":false,"family":"Velazco","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":7013,"text":"Department of Vertebrate Paleontology, American Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":525350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115007,"text":"70115007 - 2014 - Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","interactions":[],"lastModifiedDate":"2014-10-23T09:35:33","indexId":"70115007","displayToPublicDate":"2014-10-01T15:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","docAbstract":"Because subpopulations can differ geographically, genetically and/or phenotypically, using data from one subpopulation to derive vital rates for another, while often unavoidable, is not optimal. We used a two-state open robust design model to analyze a 14-year dataset (1998–2011) from the St. Joseph Peninsula, Florida (USA; 29.748°, −85.400°) which is the densest loggerhead (Caretta caretta) nesting beach in the Northern Gulf of Mexico subpopulation. For these analyses, 433 individuals were marked of which only 7.2 % were observed re-nesting in the study area in subsequent years during the study period. Survival was estimated at 0.86 and is among the highest estimates for all subpopulations in the Northwest Atlantic population. The robust model estimated a nesting assemblage size that ranged from 32 to 230 individuals each year with an annual average of 110. The model estimates indicated an overall population decline of 17 %. The results presented here for this nesting group represent the first estimates for this subpopulation. These data provide managers with information specific to this subpopulation that can be used to develop recovery plans and conduct subpopulation-specific modeling exercises explicit to the challenges faced by turtles nesting in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-014-2537-0","usgsCitation":"Lamont, M.M., Fujisaki, I., and Carthy, R.R., 2014, Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management: Marine Biology, v. 161, no. 11, p. 2659-2668, https://doi.org/10.1007/s00227-014-2537-0.","productDescription":"10 p.","startPage":"2659","endPage":"2668","numberOfPages":"10","ipdsId":"IP-054513","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":294735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-014-2537-0"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Peninsula","volume":"161","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"542d098de4b092f17defc517","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":495468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":42152,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":495469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":495467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154773,"text":"70154773 - 2014 - Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","interactions":[],"lastModifiedDate":"2015-07-06T12:45:12","indexId":"70154773","displayToPublicDate":"2014-10-01T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","docAbstract":"

Sulfated bile salts function as chemical cues that coordinate reproduction in sea lamprey, Petromyzon marinus. 7α, 12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3kPZS) is the most abundant known bile salt released by sexually mature male sea lampreys and attracts ovulated females. However, previous studies showed that the male-produced pheromone consists of unidentified components in addition to 3kPZS. Here, analysis of water conditioned with mature male sea lampreys indicated the presence of 4 oxidized, unsaturated compounds with molecular weights of 466 Da, 468 Da, and 2 of 470 Da. These compounds were not detectable in water conditioned with immature male sea lampreys. By using mass spectrometry, 4 A-ring unsaturated sulfated bile salts were tentatively identified from male washings as 2 4-ene, a 1-ene, and a 1,4-diene analogs. These were synthesized to determine if they attracted ovulated female sea lampreys to spawning nests in natural streams. One of the novel synthetic bile salts, 3 keto-1-ene PZS, attracted ovulated females to the point of application at a concentration of 10-12 M. This study reveals the structural diversity of bile salts in sea lamprey, some of which have been demonstrated to be pheromonal cues.

","language":"English","publisher":"Kluwer Academic","publisherLocation":"New York, NY","doi":"10.1007/s10886-014-0511-4","usgsCitation":"Johnson, N., Yun, S., and Li, W., 2014, Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues: Journal of Chemical Ecology, v. 40, no. 10, p. 1152-1160, https://doi.org/10.1007/s10886-014-0511-4.","productDescription":"10 p.","startPage":"1152","endPage":"1160","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057156","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-30","publicationStatus":"PW","scienceBaseUri":"559ba6afe4b0b94a640170cc","contributors":{"authors":[{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"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":false,"id":564087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, Sang-Seon","contributorId":145455,"corporation":false,"usgs":false,"family":"Yun","given":"Sang-Seon","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":564089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70117418,"text":"70117418 - 2014 - Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","interactions":[],"lastModifiedDate":"2017-07-21T14:52:40","indexId":"70117418","displayToPublicDate":"2014-10-01T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","docAbstract":"Water temperature is an important driver of many processes in riverine ecosystems. If reservoirs are present, their releases can greatly influence downstream water temperatures. Models are important tools in understanding the influence these releases may have on the thermal regimes of downstream rivers. In this study, we developed and tested a suite of models to predict river temperature at a location downstream of two reservoirs in the Upper Delaware River (USA), a section of river that is managed to support a world-class coldwater fishery. Three empirical models were tested, including a Generalized Least Squares Model with a cosine trend (GLScos), AutoRegressive Integrated Moving Average (ARIMA), and Artificial Neural Network (ANN). We also tested one mechanistic Heat Flux Model (HFM) that was based on energy gain and loss. Predictor variables used in model development included climate data (e.g., solar radiation, wind speed, etc.) collected from a nearby weather station and temperature and hydrologic data from upstream U.S. Geological Survey gages. Models were developed with a training dataset that consisted of data from 2008 to 2011; they were then independently validated with a test dataset from 2012. Model accuracy was evaluated using root mean square error (RMSE), Nash Sutcliffe efficiency (NSE), percent bias (PBIAS), and index of agreement (d) statistics. Model forecast success was evaluated using baseline-modified prime index of agreement (md) at the one, three, and five day predictions. All five models accurately predicted daily mean river temperature across the entire training dataset (RMSE = 0.58–1.311, NSE = 0.99–0.97, d = 0.98–0.99); ARIMA was most accurate (RMSE = 0.57, NSE = 0.99), but each model, other than ARIMA, showed short periods of under- or over-predicting observed warmer temperatures. For the training dataset, all models besides ARIMA had overestimation bias (PBIAS = −0.10 to −1.30). Validation analyses showed all models performed well; the HFM model was the most accurate compared other models (RMSE = 0.92, both NSE = 0.98, d = 0.99) and the ARIMA model was least accurate (RMSE = 2.06, NSE = 0.92, d = 0.98); however, all models had an overestimation bias (PBIAS = −4.1 to −10.20). Aside from the one day forecast ARIMA model (md = 0.53), all models forecasted fairly well at the one, three, and five day forecasts (md = 0.77–0.96). Overall, we were successful in developing models predicting daily mean temperature across a broad range of temperatures. These models, specifically the GLScos, ANN, and HFM, may serve as important tools for predicting conditions and managing thermal releases in regulated river systems such as the Delaware River. Further model development may be important in customizing predictions for particular biological or ecological needs, or for particular temporal or spatial scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.058","usgsCitation":"Cole, J.C., Maloney, K.O., Schmid, M., and McKenna, J., 2014, Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River: Journal of Hydrology, v. 519, no. Part A, p. 588-598, https://doi.org/10.1016/j.jhydrol.2014.07.058.","productDescription":"11 p.","startPage":"588","endPage":"598","ipdsId":"IP-054405","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":294719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294718,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.07.058"}],"country":"United States","state":"Delaware, New York, Pennsylvania","otherGeospatial":"Delaware River","volume":"519","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d0989e4b092f17defc4d3","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Matthias","contributorId":53714,"corporation":false,"usgs":true,"family":"Schmid","given":"Matthias","affiliations":[],"preferred":false,"id":495986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, James E. Jr.","contributorId":38486,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":495985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133431,"text":"70133431 - 2014 - An online database for informing ecological network models: http://kelpforest.ucsc.edu","interactions":[],"lastModifiedDate":"2020-12-31T20:13:54.126154","indexId":"70133431","displayToPublicDate":"2014-10-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An online database for informing ecological network models: http://kelpforest.ucsc.edu","docAbstract":"

Ecological network models and analyses are recognized as valuable tools for understanding the dynamics and resiliency of ecosystems, and for informing ecosystem-based approaches to management. However, few databases exist that can provide the life history, demographic and species interaction information necessary to parameterize ecological network models. Faced with the difficulty of synthesizing the information required to construct models for kelp forest ecosystems along the West Coast of North America, we developed an online database (http://kelpforest.ucsc.edu/) to facilitate the collation and dissemination of such information. Many of the database's attributes are novel yet the structure is applicable and adaptable to other ecosystem modeling efforts. Information for each taxonomic unit includes stage-specific life history, demography, and body-size allometries. Species interactions include trophic, competitive, facilitative, and parasitic forms. Each data entry is temporally and spatially explicit. The online data entry interface allows researchers anywhere to contribute and access information. Quality control is facilitated by attributing each entry to unique contributor identities and source citations. The database has proven useful as an archive of species and ecosystem-specific information in the development of several ecological network models, for informing management actions, and for education purposes (e.g., undergraduate and graduate training). To facilitate adaptation of the database by other researches for other ecosystems, the code and technical details on how to customize this database and apply it to other ecosystems are freely available and located at the following link (https://github.com/kelpforest-cameo/databaseui).

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0109356","usgsCitation":"Beas-Luna, R., Novak, M., Carr, M.H., Tinker, M.T., Black, A., Caselle, J.E., Hoban, M., Malone, D., and Iles, A.C., 2014, An online database for informing ecological network models: http://kelpforest.ucsc.edu: PLoS ONE, v. 9, no. 10, e109356, 9 p., https://doi.org/10.1371/journal.pone.0109356.","productDescription":"e109356, 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060035","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0109356","text":"Publisher Index Page"},{"id":296147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"546c75e8e4b0f4a3478a60dd","contributors":{"authors":[{"text":"Beas-Luna, Rodrigo","contributorId":127447,"corporation":false,"usgs":false,"family":"Beas-Luna","given":"Rodrigo","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":525188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Novak, Mark","contributorId":45229,"corporation":false,"usgs":false,"family":"Novak","given":"Mark","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":525189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Mark H.","contributorId":127448,"corporation":false,"usgs":false,"family":"Carr","given":"Mark","email":"","middleInitial":"H.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":525190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":525187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, August","contributorId":127449,"corporation":false,"usgs":false,"family":"Black","given":"August","email":"","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":525191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caselle, Jennifer E.","contributorId":127450,"corporation":false,"usgs":false,"family":"Caselle","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":525192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoban, Michael","contributorId":127451,"corporation":false,"usgs":false,"family":"Hoban","given":"Michael","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":525193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malone, Dan","contributorId":44783,"corporation":false,"usgs":true,"family":"Malone","given":"Dan","email":"","affiliations":[],"preferred":false,"id":525194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Iles, Alison C.","contributorId":7546,"corporation":false,"usgs":true,"family":"Iles","given":"Alison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":525195,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70139229,"text":"70139229 - 2014 - Biscayne aquifer drinking water (USGS45): a new isotopic reference material for δ2H and δ18O measurements of water","interactions":[],"lastModifiedDate":"2015-01-27T09:11:48","indexId":"70139229","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Biscayne aquifer drinking water (USGS45): a new isotopic reference material for δ2H and δ18O measurements of water","docAbstract":"
\n

RATIONALE

\n
\n

As a result of the scarcity of isotopic reference waters for daily use, a new secondary isotopic reference material for international distribution has been prepared from drinking water collected from the Biscayne aquifer in Ft. Lauderdale, Florida.

\n
\n
\n
\n

METHODS

\n
\n

This isotopic reference water was filtered, homogenized, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity, and measured by dual-inlet isotope-ratio mass spectrometry. This reference material is available by the case of 144 glass ampoules containing either 4 mL or 5 mL of water in each ampoule.

\n
\n
\n
\n

RESULTS

\n
\n

The δ2H and δ18O values of this reference material are –10.3 ± 0.4 ‰ and –2.238 ± 0.011 ‰, respectively, relative to VSMOW, on scales normalized such that the δ2H and δ18O values of SLAP reference water are, respectively, –428 and –55.5 ‰. Each uncertainty is an estimated expanded uncertainty (U = 2uc) about the reference value that provides an interval that has about a 95 % probability of encompassing the true value.

\n
\n
\n
\n

CONCLUSIONS

\n
\n

This isotopic reference material, designated as USGS45, is intended as one of two isotopic reference waters for daily normalization of stable hydrogen and oxygen isotopic analysis of water with an isotope-ratio mass spectrometer or a laser absorption spectrometer. 

\n
\n
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.6988","usgsCitation":"Lorenz, J.M., Tarbox, L.V., Buck, B., Qi, H., and Coplen, T.B., 2014, Biscayne aquifer drinking water (USGS45): a new isotopic reference material for δ2H and δ18O measurements of water: Rapid Communications in Mass Spectrometry, v. 28, no. 19, p. 2031-2034, https://doi.org/10.1002/rcm.6988.","productDescription":"4 p.","startPage":"2031","endPage":"2034","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057953","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":297565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-14","publicationStatus":"PW","scienceBaseUri":"54dd2b47e4b08de9379b32e7","contributors":{"authors":[{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarbox, Lauren V. 0000-0002-4126-1851 ltarbox@usgs.gov","orcid":"https://orcid.org/0000-0002-4126-1851","contributorId":5319,"corporation":false,"usgs":true,"family":"Tarbox","given":"Lauren","email":"ltarbox@usgs.gov","middleInitial":"V.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buck, Bryan bbuck@usgs.gov","contributorId":2326,"corporation":false,"usgs":true,"family":"Buck","given":"Bryan","email":"bbuck@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":539251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174027,"text":"70174027 - 2014 - Supplemental feeding alters migration of a temperate ungulate","interactions":[],"lastModifiedDate":"2018-09-18T16:01:08","indexId":"70174027","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Supplemental feeding alters migration of a temperate ungulate","docAbstract":"

Conservation of migration requires information on behavior and environmental determinants. The spatial distribution of forage resources, which migration exploits, often are altered and may have subtle, unintended consequences. Supplemental feeding is a common management practice, particularly for ungulates in North America and Europe, and carryover effects on behavior of this anthropogenic manipulation of forage are expected in theory, but have received limited empirical evaluation, particularly regarding effects on migration. We used global positioning system (GPS) data to evaluate the influence of winter feeding on migration behavior of 219 adult female elk (Cervus elaphus) from 18 fed ranges and 4 unfed ranges in western Wyoming. Principal component analysis revealed that the migratory behavior of fed and unfed elk differed in distance migrated, and the timing of arrival to, duration on, and departure from summer range. Fed elk migrated 19.2 km less, spent 11 more days on stopover sites, arrived to summer range 5 days later, resided on summer range 26 fewer days, and departed in the autumn 10 days earlier than unfed elk. Time-to-event models indicated that differences in migratory behavior between fed and unfed elk were caused by altered sensitivity to the environmental drivers of migration. In spring, unfed elk migrated following plant green-up closely, whereas fed elk departed the feedground but lingered on transitional range, thereby delaying their arrival to summer range. In autumn, fed elk were more responsive to low temperatures and precipitation events, causing earlier departure from summer range than unfed elk. Overall, supplemental feeding disconnected migration by fed elk from spring green-up and decreased time spent on summer range, thereby reducing access to quality forage. Our findings suggest that ungulate migration can be substantially altered by changes to the spatial distribution of resources, including those of anthropogenic origin, and that management practices applied in one season may have unintended behavioral consequences in subsequent seasons.

","language":"English","publisher":"Ecology Society of America","doi":"10.1890/13-2092.1","usgsCitation":"Jones, J.D., Kauffman, M., Monteith, K.L., Scurlock, B.M., Albeke, S.E., and Cross, P.C., 2014, Supplemental feeding alters migration of a temperate ungulate: Ecological Applications, v. 24, no. 7, p. 1769-1779, https://doi.org/10.1890/13-2092.1.","productDescription":"11 p.","startPage":"1769","endPage":"1779","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051734","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":324298,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1890/13-2092.1/abstract"},{"id":324334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.830078125,\n 41.705728515237524\n ],\n [\n -110.830078125,\n 44.276671273775186\n ],\n [\n -107.22656249999999,\n 44.276671273775186\n ],\n [\n -107.22656249999999,\n 41.705728515237524\n ],\n [\n -110.830078125,\n 41.705728515237524\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d0836e4b07657d1a37586","contributors":{"authors":[{"text":"Jones, Jennifer D.","contributorId":145754,"corporation":false,"usgs":false,"family":"Jones","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[{"id":16227,"text":"Institute on Ecosystems,Montana State University MT, 59715 USA","active":true,"usgs":false}],"preferred":false,"id":640635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":640572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monteith, Kevin L.","contributorId":83400,"corporation":false,"usgs":true,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":640636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":640637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albeke, Shannon E.","contributorId":81781,"corporation":false,"usgs":true,"family":"Albeke","given":"Shannon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":640638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640639,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191656,"text":"70191656 - 2014 - Prolonged instability prior to a regime shift","interactions":[],"lastModifiedDate":"2017-10-18T11:15:47","indexId":"70191656","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Prolonged instability prior to a regime shift","docAbstract":"

Regime shifts are generally defined as the point of ‘abrupt’ change in the state of a system. However, a seemingly abrupt transition can be the product of a system reorganization that has been ongoing much longer than is evident in statistical analysis of a single component of the system. Using both univariate and multivariate statistical methods, we tested a long-term high-resolution paleoecological dataset with a known change in species assemblage for a regime shift. Analysis of this dataset with Fisher Information and multivariate time series modeling showed that there was a∼2000 year period of instability prior to the regime shift. This period of instability and the subsequent regime shift coincide with regional climate change, indicating that the system is undergoing extrinsic forcing. Paleoecological records offer a unique opportunity to test tools for the detection of thresholds and stable-states, and thus to examine the long-term stability of ecosystems over periods of multiple millennia.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0108936","usgsCitation":"Spanbauer, T., Allen, C.R., Angeler, D., Eason, T., Fritz, S.C., Garmestani, A.S., Nash, K.L., and Stone, J., 2014, Prolonged instability prior to a regime shift: PLoS ONE, v. 9, no. 10, p. 1-7, https://doi.org/10.1371/journal.pone.0108936.","productDescription":" e108936; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-056958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0108936","text":"Publisher Index Page"},{"id":346841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-03","publicationStatus":"PW","scienceBaseUri":"59e8683ee4b05fe04cd4d255","contributors":{"authors":[{"text":"Spanbauer, Trisha","contributorId":146435,"corporation":false,"usgs":false,"family":"Spanbauer","given":"Trisha","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":713313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":712972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":713314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eason, Tarsha","contributorId":82220,"corporation":false,"usgs":true,"family":"Eason","given":"Tarsha","email":"","affiliations":[],"preferred":false,"id":713315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Sherilyn C.","contributorId":30155,"corporation":false,"usgs":true,"family":"Fritz","given":"Sherilyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nash, Kirsty L.","contributorId":40897,"corporation":false,"usgs":true,"family":"Nash","given":"Kirsty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":713318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, Jeffery R.","contributorId":95501,"corporation":false,"usgs":true,"family":"Stone","given":"Jeffery R.","affiliations":[],"preferred":false,"id":713319,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159345,"text":"70159345 - 2014 - Probabilistic estimation of dune retreat on the Gold Coast, Australia","interactions":[],"lastModifiedDate":"2018-03-15T12:46:10","indexId":"70159345","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic estimation of dune retreat on the Gold Coast, Australia","docAbstract":"

Sand dunes are an important natural buffer between storm impacts and development backing the beach on the Gold Coast of Queensland, Australia. The ability to forecast dune erosion at a prediction horizon of days to a week would allow efficient and timely response to dune erosion in this highly populated area. Towards this goal, we modified an existing probabilistic dune erosion model for use on the Gold Coast. The original model was trained using observations of dune response from Hurricane Ivan on Santa Rosa Island, Florida, USA (Plant and Stockdon 2012. Probabilistic prediction of barrier-island response to hurricanes, Journal of Geophysical Research, 117(F3), F03015). The model relates dune position change to pre-storm dune elevations, dune widths, and beach widths, along with storm surge and run-up using a Bayesian network. The Bayesian approach captures the uncertainty of inputs and predictions through the conditional probabilities between variables. Three versions of the barrier island response Bayesian network were tested for use on the Gold Coast. One network has the same structure as the original and was trained with the Santa Rosa Island data. The second network has a modified design and was trained using only pre- and post-storm data from 1988-2009 for the Gold Coast. The third version of the network has the same design as the second version of the network and was trained with the combined data from the Gold Coast and Santa Rosa Island. The two networks modified for use on the Gold Coast hindcast dune retreat with equal accuracy. Both networks explained 60% of the observed dune retreat variance, which is comparable to the skill observed by Plant and Stockdon (2012) in the initial Bayesian network application at Santa Rosa Island. The new networks improved predictions relative to application of the original network on the Gold Coast. Dune width was the most important morphologic variable in hindcasting dune retreat, while hydrodynamic variables, surge and run-up elevation, were also important

","language":"English","publisher":"American Shore and Beach Preservation Association (ASBPA)","usgsCitation":"Palmsten, M.L., Splinter, K.D., Plant, N.G., and Stockdon, H.F., 2014, Probabilistic estimation of dune retreat on the Gold Coast, Australia: Shore & Beach, v. 82, no. 4, p. 35-43.","productDescription":"9 p.","startPage":"35","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059175","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328830,"type":{"id":15,"text":"Index Page"},"url":"https://asbpa.org/publications/shore-and-beach/"}],"country":"Australia","state":"Queensland","otherGeospatial":"Gold Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 151.98486328125,\n -28.786918085420226\n ],\n [\n 151.98486328125,\n -24.567108352575975\n ],\n [\n 153.885498046875,\n -24.567108352575975\n ],\n [\n 153.885498046875,\n -28.786918085420226\n ],\n [\n 151.98486328125,\n -28.786918085420226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334340e4b048076347eeda","contributors":{"authors":[{"text":"Palmsten, Margaret L.","contributorId":149363,"corporation":false,"usgs":false,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":17718,"text":"Naval Research Laboratory, Stennis Space Center","active":true,"usgs":false}],"preferred":false,"id":578103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Splinter, Kristen D.","contributorId":147358,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen","email":"","middleInitial":"D.","affiliations":[{"id":16827,"text":"UNSW Australia","active":true,"usgs":false}],"preferred":false,"id":578104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":578102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135659,"text":"70135659 - 2014 - Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","interactions":[],"lastModifiedDate":"2014-12-16T12:55:38","indexId":"70135659","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective","docAbstract":"

Spring migration is a key part of the annual cycle for waterfowl populations in the northern hemisphere, due to its temporal proximity to the breeding season and because resources may be limited at one or more staging sites. Research based on field observations during spring lags behind other periods of the year, despite the potential for fitness consequences through diminished survival or cross-seasonal effects of conditions experienced during migration. Consequently, conservation strategies for waterfowl on spring migration are often only refined versions of practices used during autumn and winter. Here we discuss the current state of knowledge of habitat requirements for waterfowl at their spring migratory sites and the intrinsic and extrinsic factors that lead to variability in those requirements. The provision of plant foods has become the main conservation strategy during spring because of the birds’ energy requirements at this time, not only to fuel migration but to facilitate early clutch formation on arrival at the breeding grounds. Although energy sources are important to migrants, there is little evidence on the extent to which the availability of carbohydrate-based food is limiting for many migratory waterfowl populations.  Such limitation is relatively unlikely among populations that exploit agricultural grain during migration (e.g. arctic-nesting geese), suggesting that conservation strategies for these populations may be misplaced. In general, however, we found few cases in which an ecological understanding of spring-migrating waterfowl was sufficient to indicate true resource limitation during migration, and still fewer cases where conservation efforts ameliorated these limitations. We propose a framework that aims to address knowledge gaps and apply empirical research results to conservation strategies based on documented limitations and associated fitness impacts on migrating waterfowl. Such a strategy would improve allocation of scarce conservation resources during spring migration and greatly improve ecological understanding of migratory waterfowl and their habitats in the northern hemisphere.

","language":"English","publisher":"Wildfowl Trust","usgsCitation":"Stafford, J.D., Janke, A.K., Anteau, M.J., Pearse, A.T., Fox, A.D., Elmberg, J., Straub, J.N., Eichholz, M., and Arzel, C., 2014, Spring migration of waterfowl in the Northern Hemisphere: a management and conservation perspective: Wildfowl, v. 2014, no. 4, p. 70-85.","productDescription":"16 p.","startPage":"70","endPage":"85","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057341","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296687,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2603"}],"volume":"2014","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"549165d6e4b0d0759afaad9d","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":536699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":536700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":536701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":536698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":536702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elmberg, Johan","contributorId":130961,"corporation":false,"usgs":false,"family":"Elmberg","given":"Johan","email":"","affiliations":[{"id":7178,"text":"Aquatic Biol and Chem, Kristianstad univ, Sweeden","active":true,"usgs":false}],"preferred":false,"id":536703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Straub, Jacob N.","contributorId":130962,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob","email":"","middleInitial":"N.","affiliations":[{"id":7179,"text":"Ctr for Earth & Envir Sc, St Univ of NY-Plattsburgh, NY","active":true,"usgs":false}],"preferred":false,"id":536704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eichholz, Michael W.","contributorId":130963,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael W.","affiliations":[{"id":7180,"text":"Coop Wildlife Res Lab, Ctr for Ecology, S IL Univ Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":536705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arzel, Celine","contributorId":130964,"corporation":false,"usgs":false,"family":"Arzel","given":"Celine","email":"","affiliations":[{"id":7181,"text":"Section of Ecology, Ept of Biol, Univ of Turku, Finland","active":true,"usgs":false}],"preferred":false,"id":536706,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70140691,"text":"70140691 - 2014 - Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar","interactions":[],"lastModifiedDate":"2015-02-10T11:42:17","indexId":"70140691","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar","docAbstract":"

This study investigated the expression of ion transporters involved in intestinal fluid absorption and presents evidence for developmental changes in abundance and tissue distribution of these transporters during smoltification and seawater (SW) acclimation of Atlantic salmonSalmo salar. Emphasis was placed on Na+, K+-ATPase (NKA) and Na+, K+, Cl− co-transporter (NKCC) isoforms, at both transcriptional and protein levels, together with transcription of chloride channel genes. The nka α1c was the dominant isoform at the transcript level in both proximal and distal intestines; also, it was the most abundant isoform expressed in the basolateral membrane of enterocytes in the proximal intestine. This isoform was also abundantly expressed in the distal intestine in the lower part of the mucosal folds. The protein expression of intestinal Nkaα1c increased during smoltification. Immunostaining was localized to the basal membrane of the enterocytes in freshwater (FW) fish, and re-distributed to a lateral position after SW entry. Two other Nka isoforms, α1a and α1b, were expressed in the intestine but were not regulated to the same extent during smoltification and subsequent SW transfer. Their localization in the intestinal wall indicates a house-keeping function in excitatory tissues. The absorptive form of the NKCC-like isoform (sub-apically located NKCC2 and/or Na+, Cl−co-transporter) increased during smoltification and further after SW transfer. The cellular distribution changed from a diffuse expression in the sub-apical regions during smoltification to clustering of the transporters closer to the apical membrane after entry to SW. Furthermore, transcript abundance indicates that the mechanisms necessary for exit of chloride ions across the basolateral membrane and into the lateral intercellular space are present in the form of one or more of three different chloride channels: cystic fibrosis transmembrane conductance regulator I and II and chloride channel 3.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12531","usgsCitation":"Sundh, H., Nilsen, T., Lindstrom, J., Hasselberg-Frank, L., Stefansson, S.O., McCormick, S., and Sundell, K., 2014, Development of intestinal ion-transporting mechanisms during smoltification and seawater acclimation in Atlantic salmon Salmo salar: Journal of Fish Biology, v. 85, no. 4, p. 1227-1252, https://doi.org/10.1111/jfb.12531.","productDescription":"26 p.","startPage":"1227","endPage":"1252","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054792","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"54dd2b74e4b08de9379b33a1","contributors":{"authors":[{"text":"Sundh, Henrik","contributorId":139197,"corporation":false,"usgs":false,"family":"Sundh","given":"Henrik","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nilsen, Tom O.","contributorId":98106,"corporation":false,"usgs":false,"family":"Nilsen","given":"Tom O.","affiliations":[],"preferred":false,"id":540314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindstrom, Jenny","contributorId":139199,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Jenny","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasselberg-Frank, Linda","contributorId":139200,"corporation":false,"usgs":false,"family":"Hasselberg-Frank","given":"Linda","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":540316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stefansson, Sigurd O.","contributorId":13857,"corporation":false,"usgs":true,"family":"Stefansson","given":"Sigurd","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":540317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundell, K.","contributorId":90909,"corporation":false,"usgs":true,"family":"Sundell","given":"K.","email":"","affiliations":[],"preferred":false,"id":540318,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70133616,"text":"70133616 - 2014 - Variable population exposure and distributed travel speeds in least-cost tsunami evacuation modelling","interactions":[],"lastModifiedDate":"2014-11-18T13:08:15","indexId":"70133616","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Variable population exposure and distributed travel speeds in least-cost tsunami evacuation modelling","docAbstract":"

Evacuation of the population from a tsunami hazard zone is vital to reduce life-loss due to inundation. Geospatial least-cost distance modelling provides one approach to assessing tsunami evacuation potential. Previous models have generally used two static exposure scenarios and fixed travel speeds to represent population movement. Some analyses have assumed immediate departure or a common evacuation departure time for all exposed population. Here, a method is proposed to incorporate time-variable exposure, distributed travel speeds, and uncertain evacuation departure time into an existing anisotropic least-cost path distance framework. The method is demonstrated for hypothetical local-source tsunami evacuation in Napier City, Hawke's Bay, New Zealand. There is significant diurnal variation in pedestrian evacuation potential at the suburb level, although the total number of people unable to evacuate is stable across all scenarios. Whilst some fixed travel speeds approximate a distributed speed approach, others may overestimate evacuation potential. The impact of evacuation departure time is a significant contributor to total evacuation time. This method improves least-cost modelling of evacuation dynamics for evacuation planning, casualty modelling, and development of emergency response training scenarios. However, it requires detailed exposure data, which may preclude its use in many situations.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-14-2975-2014","usgsCitation":"Fraser, S.A., Wood, N.J., Johnston, D.A., Leonard, G.S., Greening, P.D., and Rossetto, T., 2014, Variable population exposure and distributed travel speeds in least-cost tsunami evacuation modelling: Natural Hazards and Earth System Sciences, v. 14, p. 2975-2991, https://doi.org/10.5194/nhess-14-2975-2014.","productDescription":"17 p.","startPage":"2975","endPage":"2991","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056507","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-14-2975-2014","text":"Publisher Index Page"},{"id":296159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"546c763ee4b0f4a3478a61e7","contributors":{"authors":[{"text":"Fraser, Stuart A.","contributorId":127468,"corporation":false,"usgs":false,"family":"Fraser","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":525303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":525302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, David A.","contributorId":64637,"corporation":false,"usgs":false,"family":"Johnston","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":525304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leonard, Graham S.","contributorId":127469,"corporation":false,"usgs":false,"family":"Leonard","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":5111,"text":"GNS Science, New Zealand","active":true,"usgs":false}],"preferred":false,"id":525305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greening, Paul D.","contributorId":127470,"corporation":false,"usgs":false,"family":"Greening","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":525306,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rossetto, Tiziana","contributorId":127471,"corporation":false,"usgs":false,"family":"Rossetto","given":"Tiziana","email":"","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":525307,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173643,"text":"70173643 - 2014 - Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment","interactions":[],"lastModifiedDate":"2016-06-08T11:20:14","indexId":"70173643","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment","docAbstract":"

In colonial-breeding species, prebreeders often emigrate temporarily from natal reproductive colonies then subsequently return for one or more years before producing young. Variation in attendance–nonattendance patterns can have implications for subsequent recruitment. We used open robust-design multistate models and 28 years of encounter data for prebreeding female Weddell seals (Leptonychotes weddellii [Lesson]) to evaluate hypotheses about (1) the relationships of temporary emigration (TE) probabilities to environmental and population size covariates and (2) motivations for attendance and consequences of nonattendance for subsequent probability of recruitment to the breeding population. TE probabilities were density dependent (βˆBPOP = 0.66, \"inline = 0.17; estimated effects [β] and standard errors of population size in the previous year) and increased when the fast-ice edge was distant from the breeding colonies (βˆDIST = 0.75, \"inline = 0.04; estimated effects and standard errors of distance to the sea-ice edge in the current year on TE probability in the current year) and were strongly age and state dependent. These results suggest that trade-offs between potential benefits and costs of colony attendance vary annually and might influence motivation to attend colonies. Recruitment probabilities were greatest for seals that consistently attended colonies in two or more years (e.g., \"inline = 0.56, SD = 0.17) and lowest for seals that never or inconsistently attended prior to recruitment (e.g., \"inline = 0.32, SD = 0.15), where \"inlinedenotes the mean recruitment probability (over all years) for 10-year-old seals for the specified prebreeder state. In colonial-breeding seabirds, repeated colony attendance increases subsequent probability of recruitment to the adult breeding population; our results suggest similar implications for a marine mammal and are consistent with the hypothesis that prebreeders were motivated to attend reproductive colonies to gain reproductive skills or perhaps to optimally synchronize estrus through close association with mature breeding females.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1966.1","usgsCitation":"Stauffer, G.E., Rotella, J.J., Garrott, R.A., and Kendall, W., 2014, Environmental correlates of temporary emigration for female Weddell seals and consequences for recruitment: Ecology, v. 95, no. 9, p. 2526-2536, https://doi.org/10.1890/13-1966.1.","productDescription":"11 p.","startPage":"2526","endPage":"2536","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054170","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472735,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/8736","text":"External Repository"},{"id":323263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941dde4b04f417c256824","contributors":{"authors":[{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":637881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":637882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160094,"text":"70160094 - 2014 - Population-level effects of egg predation on a native planktivore in a large freshwater lake","interactions":[],"lastModifiedDate":"2015-12-11T15:21:46","indexId":"70160094","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Population-level effects of egg predation on a native planktivore in a large freshwater lake","docAbstract":"

Using a 37-year recruitment time series, we uncovered a field pattern revealing a strong, inverse relationship between bloater Coregonus hoyi recruitment success and slimy sculpin Cottus cognatus biomass in Lake Michigan (United States), one of the largest freshwater lakes of the world. Given that slimy sculpins (and deepwater sculpin Myoxocephalus thompsonii) are known egg predators that spatiotemporally overlap with incubating bloater eggs, we used recently published data on sculpin diets and daily ration to model annual bloater egg consumption by sculpins for the 1973–2010 year-classes. Although several strong year-classes were produced in the late 1980s when the proportion of eggs consumed by slimy sculpins was extremely low (i.e., <0.001) and several weak year-classes were produced when the proportion of bloater eggs consumed was at its highest (i.e., >0.10–1.0), egg predation failed to explain why recruitment was weak for the 1995–2005 year-classes when the proportion consumed was also low (i.e., <0.02). We concluded that egg predation by slimy and deepwater sculpins could have limited bloater recruitment in some years, but that some undetermined factor was more important in many other years. Given that slimy sculpin densities are influenced by piscivorous lake trout Salvelinus namaycush, the restoration of which in Lake Michigan has lagged behind those in lakes Superior and Huron, our study highlights the importance of an ecosystem perspective when considering population dynamics of fishes.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12112","usgsCitation":"Bunnell, D., Mychek-Londer, J., and Madenjian, C.P., 2014, Population-level effects of egg predation on a native planktivore in a large freshwater lake: Ecology of Freshwater Fish, v. 23, no. 4, p. 604-614, https://doi.org/10.1111/eff.12112.","productDescription":"11 p.","startPage":"604","endPage":"614","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050603","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472730,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/108675","text":"External Repository"},{"id":312191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312189,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/eff.12112/abstract"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.79248046875,\n 45.85176048817254\n ],\n [\n -84.78149414062499,\n 45.79816953017265\n ],\n [\n -84.90234375,\n 45.75219336063106\n ],\n [\n -85.067138671875,\n 45.775186183521036\n ],\n [\n -85.067138671875,\n 45.66012730272194\n ],\n [\n -85.14404296875,\n 45.5679096098613\n ],\n [\n -84.957275390625,\n 45.398449976304086\n ],\n [\n -85.26489257812499,\n 45.37530235052552\n ],\n [\n -85.39672851562499,\n 45.24395342262324\n ],\n [\n -85.517578125,\n 44.762336674810996\n ],\n [\n -85.63842773437499,\n 44.793530904744074\n ],\n [\n -85.550537109375,\n 45.13555516012536\n ],\n [\n -85.528564453125,\n 45.19752230305685\n ],\n [\n -85.770263671875,\n 45.08127861241874\n ],\n [\n -85.836181640625,\n 44.92591837128866\n ],\n [\n -86.02294921875,\n 44.92591837128866\n ],\n [\n -86.17675781249999,\n 44.77793589631623\n ],\n [\n -86.275634765625,\n 44.59046718130883\n ],\n [\n -86.33056640625,\n 44.268804788566165\n ],\n [\n -86.495361328125,\n 44.11914151643737\n ],\n [\n -86.50634765625,\n 43.96909818325174\n ],\n [\n -86.46240234375,\n 43.82660134505384\n ],\n [\n -86.561279296875,\n 43.628123412124616\n ],\n [\n -86.36352539062499,\n 43.213183300738876\n ],\n [\n -86.23168945312499,\n 43.01268088642034\n ],\n [\n -86.253662109375,\n 42.62587560259137\n ],\n [\n -86.37451171875,\n 42.309815415686664\n ],\n [\n -86.539306640625,\n 42.09007006868398\n ],\n [\n -86.66015624999999,\n 41.89409955811395\n ],\n [\n -86.90185546874999,\n 41.73033005046653\n ],\n [\n -87.099609375,\n 41.672911819602085\n ],\n [\n -87.34130859375,\n 41.64828831259535\n ],\n [\n -87.484130859375,\n 41.713930073371294\n ],\n [\n -87.56103515625,\n 41.902277040963696\n ],\n [\n -87.7587890625,\n 42.17968819665961\n ],\n [\n -87.8466796875,\n 42.26917949243506\n ],\n [\n -87.78076171875,\n 42.706659563510385\n ],\n [\n -87.8466796875,\n 43.01268088642034\n ],\n [\n -87.890625,\n 43.15710884095329\n ],\n [\n -87.82470703125,\n 43.42100882994726\n ],\n [\n -87.703857421875,\n 43.691707903073805\n ],\n [\n -87.73681640625,\n 43.89789239125797\n ],\n [\n -87.615966796875,\n 44.09547572946635\n ],\n [\n -87.47314453125,\n 44.20583500104184\n ],\n [\n -87.528076171875,\n 44.32384807250689\n ],\n [\n -87.42919921875,\n 44.629573191951046\n ],\n [\n -87.198486328125,\n 44.92591837128866\n ],\n [\n -86.978759765625,\n 45.31352900692261\n ],\n [\n -87.132568359375,\n 45.27488643704894\n ],\n [\n -87.264404296875,\n 45.11230010229608\n ],\n [\n -87.451171875,\n 44.96479793033104\n ],\n [\n -87.62695312499999,\n 44.81691551782855\n ],\n [\n -87.9345703125,\n 44.56699093657141\n ],\n [\n -88.011474609375,\n 44.56699093657141\n ],\n [\n -88.011474609375,\n 44.715513732021336\n ],\n [\n -87.7587890625,\n 44.941473354802504\n ],\n [\n -87.615966796875,\n 45.120052841530516\n ],\n [\n -87.3193359375,\n 45.42929873257377\n ],\n [\n -87.14355468749999,\n 45.68315803253308\n ],\n [\n -87.044677734375,\n 45.84410779560204\n ],\n [\n -86.9677734375,\n 45.67548217560647\n ],\n [\n -86.77001953125,\n 45.82879925192134\n ],\n [\n -86.55029296875,\n 45.897654534346884\n ],\n [\n -86.671142578125,\n 45.729191061299936\n ],\n [\n -86.737060546875,\n 45.61403741135093\n ],\n [\n -86.627197265625,\n 45.57560020947799\n ],\n [\n -86.47338867187499,\n 45.78284835197676\n ],\n [\n -86.30859375,\n 45.82879925192134\n ],\n [\n -86.24267578125,\n 45.92822950933618\n ],\n [\n -85.98999023437499,\n 45.935870621190546\n ],\n [\n -85.80322265625,\n 45.99696161820381\n ],\n [\n -85.5615234375,\n 45.97406038956237\n ],\n [\n -85.484619140625,\n 46.10370875598026\n ],\n [\n -84.990234375,\n 46.00459325574482\n ],\n [\n -84.847412109375,\n 45.897654534346884\n ],\n [\n -84.79248046875,\n 45.85176048817254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-18","publicationStatus":"PW","scienceBaseUri":"566c01ece4b09cfe53ca5afa","contributors":{"authors":[{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":581966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":581967,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}