Late Quaternary paleoceanographic changes at the Lomonosov Ridge, central Arctic Ocean, were reconstructed from a multicore and gravity core recovered during the 2014 SWERUS-C3 Expedition. Ostracode assemblages dated by accelerator mass spectrometry (AMS) indicate changing sea-ice conditions and warm Atlantic Water (AW)inflow to the Arctic Ocean from ∼50 ka to present. Key taxa used as environmental indicators include Acetabulastoma arcticum (perennial sea ice), Polycopes pp. (variable sea-ice margins, high surface productivity), Krithe hunti (Arctic Ocean deep water), and Rabilimis mirabilis (water mass change/AW inflow). Results indicate periodic seasonally sea-ice-free conditions during Marine Isotope Stage (MIS) 3 (∼57-29 ka), rapid deglacial changes in water mass conditions (15-11 ka), seasonally sea-ice-free conditions during the early Holocene (∼10-7 ka) and perennial sea ice during the late Holocene. Comparisons with faunal records from other cores from the Mendeleev and Lomonosov ridges suggest generally similar patterns, although sea-ice cover during the Last Glacial Maximum may have been less extensive at the new Lomonosov Ridge core site (∼85.15° N, 152° E) than farther north and towards Greenland. The new data provide evidence for abrupt, large-scale shifts in ostracode species depth and geographical distributions during rapid climatic transitions.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-2017-22","usgsCitation":"Gemery, L., Cronin, T.M., Poirier, R.K., Pearce, C., Barrientos, N., O’Regan, M., Johansson, C., Koshurnikov, A., and Jakobsson, M., 2017, Central Arctic Ocean paleoceanography from ∼50 ka to present, on the basis of ostracode faunal assemblages from the SWERUS 2014 expedition : Climate of the Past, v. 13, p. 1473-1489, https://doi.org/10.5194/cp-2017-22.","productDescription":"17 p.","startPage":"1473","endPage":"1489","ipdsId":"IP-084428","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-2017-22","text":"Publisher Index Page"},{"id":348623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","volume":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bafe4b09af898c94137","contributors":{"authors":[{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":717636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":717637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poirier, Robert K. rpoirier@usgs.gov","contributorId":5790,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"rpoirier@usgs.gov","middleInitial":"K.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":717638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":717639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrientos, Natalia","contributorId":197127,"corporation":false,"usgs":false,"family":"Barrientos","given":"Natalia","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false},{"id":35520,"text":"1Department of Geological Sciences and Bolin Centre for Climate Research, Stockholm University, Stockholm, 10691, Sweden","active":true,"usgs":false}],"preferred":false,"id":717640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":717641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johansson, Carina","contributorId":166871,"corporation":false,"usgs":false,"family":"Johansson","given":"Carina","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":717642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koshurnikov, Andrey","contributorId":166860,"corporation":false,"usgs":false,"family":"Koshurnikov","given":"Andrey","email":"","affiliations":[{"id":24563,"text":"Tomsk Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":717644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":717643,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192972,"text":"70192972 - 2017 - Hydrologic metrics for status-and-trends monitoring in urban and urbanizing watersheds","interactions":[],"lastModifiedDate":"2018-01-05T14:10:23","indexId":"70192972","displayToPublicDate":"2017-11-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic metrics for status-and-trends monitoring in urban and urbanizing watersheds","docAbstract":"Local governmental agencies are increasingly undertaking potentially costly “status-and-trends” monitoring to evaluate the effectiveness of stormwater control measures and land-use planning strategies, or to satisfy regulatory requirements. Little guidance is presently available for such efforts, and so we have explored the application, interpretation, and temporal limitations of well-established hydrologic metrics of runoff changes from urbanization, making use of an unusually long-duration, high-quality data set from the Pacific Northwest (USA) with direct applicability to urban and urbanizing watersheds. Three metrics previously identified for their utility in identifying hydrologic conditions with biological importance that respond to watershed urbanization—TQmean (the fraction of time that flows exceed the mean annual discharge), the Richards-Baker Index (characterizing flashiness relative to the mean discharge), and the annual tally of wet-season day-to-day flow reversals (the total number of days that reverse the prior days’ increasing or decreasing trend)—are all successful in stratifying watersheds across a range of urbanization, as measured by total contributing area of urban development. All metrics respond with statistical significance to multi-decadal trends in urbanization, but none detect trends in watershed-scale urbanization over the course of a single decade. This suggests a minimum period over which dependable trends in hydrologic alteration (or improvement) can be detected with confidence. The metrics also prove less well suited to urbanizing watersheds in a semi-arid climate, with only flow reversals showing a response consistent with prior findings from more humid regions. We also explore the use of stage as a surrogate for discharge in calculating these metrics, recognizing potentially significant agency cost savings in data collection with minimal loss of information. This approach is feasible but cannot be implemented under current data-reporting practices, requiring measurement of water-depth values and preservation of the full precision of the original recorded data. With these caveats, however, hydrologic metrics based on stage should prove as or more useful, at least in the context of status-and-trends monitoring, as those based on subsequent calculations of discharge.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11369","usgsCitation":"Booth, D.B., and Konrad, C.P., 2017, Hydrologic metrics for status-and-trends monitoring in urban and urbanizing watersheds: Hydrological Processes, v. 31, no. 25, p. 4507-4519, https://doi.org/10.1002/hyp.11369.","productDescription":"13 p.","startPage":"4507","endPage":"4519","ipdsId":"IP-090190","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":348629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"25","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-23","publicationStatus":"PW","scienceBaseUri":"5a096bb0e4b09af898c9413d","contributors":{"authors":[{"text":"Booth, Derek B.","contributorId":100873,"corporation":false,"usgs":false,"family":"Booth","given":"Derek","email":"","middleInitial":"B.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":717492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193273,"text":"70193273 - 2017 - The role of deep-water sedimentary processes in shaping a continental margin: The Northwest Atlantic","interactions":[],"lastModifiedDate":"2017-11-29T16:01:31","indexId":"70193273","displayToPublicDate":"2017-11-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"The role of deep-water sedimentary processes in shaping a continental margin: The Northwest Atlantic","docAbstract":"The tectonic history of a margin dictates its general shape; however, its geomorphology is generally transformed by deep-sea sedimentary processes. The objective of this study is to show the influences of turbidity currents, contour currents and sediment mass failures on the geomorphology of the deep-water northwestern Atlantic margin (NWAM) between Blake Ridge and Hudson Trough, spanning about 32° of latitude and the shelf edge to the abyssal plain. This assessment is based on new multibeam echosounder data, global bathymetric models and sub-surface geophysical information.
The deep-water NWAM is divided into four broad geomorphologic classifications based on their bathymetric shape: graded, above-grade, stepped and out-of-grade. These shapes were created as a function of the balance between sediment accumulation and removal that in turn were related to sedimentary processes and slope-accommodation. This descriptive method of classifying continental margins, while being non-interpretative, is more informative than the conventional continental shelf, slope and rise classification, and better facilitates interpretation concerning dominant sedimentary processes.
Areas of the margin dominated by turbidity currents and slope by-pass developed graded slopes. If sediments did not by-pass the slope due to accommodation then an above grade or stepped slope resulted. Geostrophic currents created sedimentary bodies of a variety of forms and positions along the NWAM. Detached drifts form linear, above-grade slopes along their crests from the shelf edge to the deep basin. Plastered drifts formed stepped slope profiles. Sediment mass failure has had a variety of consequences on the margin morphology; large mass-failures created out-of-grade profiles, whereas smaller mass failures tended to remain on the slope and formed above-grade profiles at trough-mouth fans, or nearly graded profiles, such as offshore Cape Fear.
This is a study of the nonisotropic scattering process based on radiative transfer theory and its application to the observation of the M 4.3 aftershock recording of the 2008 Wells earthquake sequence in Nevada. Given a wide range of recording distances from 29 to 320 km, the data provide a unique opportunity to discriminate scattering models based on their distance‐dependent behaviors. First, we develop a stable numerical procedure to simulate nonisotropic scattering waves based on the 3D nonisotropic scattering theory proposed by Sato (1995). By applying the simulation method to the inversion of M 4.3 Wells aftershock recordings, we find that a nonisotropic scattering model, dominated by forward scattering, provides the best fit to the observed high‐frequency direct S waves and S‐wave coda velocity envelopes. The scattering process is governed by a Gaussian autocorrelation function, suggesting a Gaussian random heterogeneous structure for the Nevada crust. The model successfully explains the common decay of seismic coda independent of source–station locations as a result of energy leaking from multiple strong forward scattering, instead of backscattering governed by the diffusion solution at large lapse times. The model also explains the pulse‐broadening effect in the high‐frequency direct and early arriving S waves, as other studies have found, and could be very important to applications of high‐frequency wave simulation in which scattering has a strong effect. We also find that regardless of its physical implications, the isotropic scattering model provides the same effective scattering coefficient and intrinsic attenuation estimates as the forward scattering model, suggesting that the isotropic scattering model is still a viable tool for the study of seismic scattering and intrinsic attenuation coefficients in the Earth.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160241","usgsCitation":"Zeng, Y., 2017, Modeling of high‐frequency seismic‐wave scattering and propagation using radiative transfer theory : Bulletin of the Seismological Society of America, v. 107, no. 6, p. 2948-2962, https://doi.org/10.1785/0120160241.","productDescription":"15 p.","startPage":"2948","endPage":"2962","ipdsId":"IP-075005","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":348607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-31","publicationStatus":"PW","scienceBaseUri":"5a07e83de4b09af898c8cb14","contributors":{"authors":[{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":719254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193478,"text":"70193478 - 2017 - Response of anurans to wetland restoration on a midwestern agriculture landscape","interactions":[],"lastModifiedDate":"2017-11-13T11:03:25","indexId":"70193478","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Response of anurans to wetland restoration on a midwestern agriculture landscape","docAbstract":"Since the early 1990s, >5,000 ha of historic wetlands (and adjacent prairie) have been restored on the row-crop agricultural landscape of Winnebago County, Iowa, USA. From 2008–2011, we surveyed 22 of these sites for probabilities of occupancy and colonization by Boreal Chorus Frogs (BCF; Pseudacris maculata), Northern Leopard Frogs (NLF; Lithobates pipiens), and American Toads (AT; Anaxyrus americanus). We used radio telemetry to measure patterns of movement and habitat use by 22 NLF and 54 AT and deployed biophysical models in available habitats to estimate their physiological costs. The BCF occupied 100% of restored wetlands; NLF and AT occupied 59–91% and 71–89%, respectively, varying according to annual weather conditions. The BCF colonized new sites within a year; NLF and AT required 3 and 2 yr, respectively. These differences were related to distances from the nearest established population and costs of intervening cover types, and were statistically related to the size and orientation of restored wetlands. The ranges of maximum straight-line distances moved by NLF and AT were 31–857 m and 42–2,932 m, respectively. Both NLF and AT selected wetlands and surrounding prairies, though NLF were nine times more likely to select wetland habitats than all others combined. About 24% of AT used row-crop fields extensively, but not until crops had grown sufficiently to reduce the physiological costs of these fields similar to that of prairies. Both BCF and AT navigated the dramatically altered row-crop landscape, but NLF depended more heavily on roadside ditches to find and colonize restored wetlands.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/16-113","usgsCitation":"Bartelt, P.E., and Klaver, R.W., 2017, Response of anurans to wetland restoration on a midwestern agriculture landscape: Journal of Herpetology, v. 51, no. 4, p. 504-514, https://doi.org/10.1670/16-113.","productDescription":"11 p.","startPage":"504","endPage":"514","ipdsId":"IP-073419","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1670/16-113","text":"Publisher Index Page"},{"id":348598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Winnebago County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.9691,43.5044],[-93.6782,43.5047],[-93.6485,43.5045],[-93.4964,43.504],[-93.4971,43.4347],[-93.4971,43.3446],[-93.4977,43.2568],[-93.6184,43.2572],[-93.7354,43.257],[-93.853,43.2568],[-93.9699,43.2573],[-93.9705,43.3447],[-93.9699,43.4334],[-93.9691,43.5044]]]},\"properties\":{\"name\":\"Winnebago\",\"state\":\"IA\"}}]}","volume":"51","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c3e4b09af898c860c2","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":18895,"corporation":false,"usgs":true,"family":"Bartelt","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":719214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193479,"text":"70193479 - 2017 - Future scenarios of land change based on empirical data and demographic trends","interactions":[],"lastModifiedDate":"2017-12-19T16:37:25","indexId":"70193479","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Future scenarios of land change based on empirical data and demographic trends","docAbstract":"Changes in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top-down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on land use histories and demographic trends. We developed a set of stochastic, empirical-based projections of LULC change for the state of California, for the period 2001–2100. Land use histories and demographic trends were used to project a “business-as-usual” (BAU) scenario and three population growth scenarios. For the BAU scenario, we projected developed lands would more than double by 2100. When combined with cultivated areas, we projected a 28% increase in anthropogenic land use by 2100. As a result, natural lands were projected to decline at a rate of 139 km2 yr−1; grasslands experienced the largest net decline, followed by shrublands and forests. The amount of cultivated land was projected to decline by approximately 10%; however, the relatively modest change masked large shifts between annual and perennial crop types. Under the three population scenarios, developed lands were projected to increase 40–90% by 2100. Our results suggest that when compared to the BAU projection, scenarios based on demographic trends may underestimate future changes in LULC. Furthermore, regardless of scenario, the spatial pattern of LULC change was likely to have the greatest negative impacts on rangeland ecosystems.
","language":"English","publisher":"AGU","doi":"10.1002/2017EF000560","usgsCitation":"Sleeter, B.M., Wilson, T., Sharygin, E., and Sherba, J.T., 2017, Future scenarios of land change based on empirical data and demographic trends: Earth's Future, v. 5, no. 11, p. 1068-1083, https://doi.org/10.1002/2017EF000560.","productDescription":"16 p.","startPage":"1068","endPage":"1083","ipdsId":"IP-085589","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017ef000560","text":"Publisher Index Page"},{"id":348587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"5","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c2e4b09af898c860bd","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":719215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":719216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharygin, Ethan","contributorId":199467,"corporation":false,"usgs":false,"family":"Sharygin","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":719217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherba, Jason T. 0000-0001-9151-686X jsherba@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-686X","contributorId":196154,"corporation":false,"usgs":true,"family":"Sherba","given":"Jason","email":"jsherba@usgs.gov","middleInitial":"T.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":719218,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192625,"text":"70192625 - 2017 - Bias correction of bounded location errors in presence-only data","interactions":[],"lastModifiedDate":"2017-11-10T10:57:21","indexId":"70192625","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Bias correction of bounded location errors in presence-only data","docAbstract":"Estimating population trends provides valuable information for resource managers, but monitoring programs face trade-offs between the quality and quantity of information gained and the number of sites surveyed. We compared the effectiveness of monitoring techniques for estimating population trends of Rana draytonii (California Red-legged Frog) at Point Reyes National Seashore, California, USA, over a 13-yr period. Our primary goals were to: 1) estimate trends for a focal pond at Point Reyes National Seashore, and 2) evaluate whether egg mass counts could reliably estimate an index of abundance relative to more-intensive capture–mark–recapture methods. Capture–mark–recapture (CMR) surveys of males indicated a stable population from 2005 to 2009, despite low annual apparent survival (26.3%). Egg mass counts from 2000 to 2012 indicated that despite some large fluctuations, the breeding female population was generally stable or increasing, with annual abundance varying between 26 and 130 individuals. Minor modifications to egg mass counts, such as marking egg masses, can allow estimation of egg mass detection probabilities necessary to convert counts to abundance estimates, even when closure of egg mass abundance cannot be assumed within a breeding season. High egg mass detection probabilities (mean per-survey detection probability = 0.98 [0.89–0.99]) indicate that egg mass surveys can be an efficient and reliable method for monitoring population trends of federally threatened R. draytonii. Combining egg mass surveys to estimate trends at many sites with CMR methods to evaluate factors affecting adult survival at focal populations is likely a profitable path forward to enhance understanding and conservation of R. draytonii.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/17-054","usgsCitation":"Fellers, G.M., Kleeman, P.M., Miller, D.A., and Halstead, B., 2017, Population trends, survival, and sampling methodologies for a population of Rana draytonii: Journal of Herpetology, v. 51, no. 4, p. 567-573, https://doi.org/10.1670/17-054.","productDescription":"7 p.","startPage":"567","endPage":"573","ipdsId":"IP-075545","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":348562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Point Reyes National Seashore","volume":"51","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c0e4b09af898c860b6","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":721462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":721463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W. davidmiller@usgs.gov","contributorId":4043,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","middleInitial":"A.W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":721464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":721465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192588,"text":"70192588 - 2017 - Thermal adaptation and phenotypic plasticity in a warming world: Insights from common garden experiments on Alaskan sockeye salmon","interactions":[],"lastModifiedDate":"2017-11-29T16:03:41","indexId":"70192588","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Thermal adaptation and phenotypic plasticity in a warming world: Insights from common garden experiments on Alaskan sockeye salmon","docAbstract":"An important unresolved question is how populations of coldwater-dependent fishes will respond to rapidly warming water temperatures. For example, the culturally and economically important group, Pacific salmon (Oncorhynchus spp.), experience site-specific thermal regimes during early development that could be disrupted by warming. To test for thermal local adaptation and heritable phenotypic plasticity in Pacific salmon embryos, we measured the developmental rate, survival, and body size at hatching in two populations of sockeye salmon (Oncorhynchus nerka) that overlap in timing of spawning but incubate in contrasting natural thermal regimes. Using a split half-sibling design, we exposed embryos of 10 families from each of two populations to variable and constant thermal regimes. These represented both experienced temperatures by each population, and predicted temperatures under plausible future conditions based on a warming scenario from the downscaled global climate model (MIROC A1B scenario). We did not find evidence of thermal local adaptation during the embryonic stage for developmental rate or survival. Within treatments, populations hatched within 1 day of each other, on average, and amongtreatments, did not differ in survival in response to temperature. We did detect plasticity to temperature; embryos developed 2.5 times longer (189 days) in the coolest regime compared to the warmest regime (74 days). We also detected variation in developmental rates among families within and among temperature regimes, indicating heritable plasticity. Families exhibited a strong positive relationship between thermal variability and phenotypic variability in developmental rate but body length and mass at hatching were largely insensitive to temperature. Overall, our results indicated a lack of thermal local adaptation, but a presence of plasticity in populations experiencing contrasting conditions, as well as family-specific heritable plasticity that could facilitate adaptive change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13782","usgsCitation":"Sparks, M.M., Westley, P.A., Falke, J.A., and Quinn, T.P., 2017, Thermal adaptation and phenotypic plasticity in a warming world: Insights from common garden experiments on Alaskan sockeye salmon: Global Change Biology, v. 23, no. 12, p. 5203-5217, https://doi.org/10.1111/gcb.13782.","productDescription":"15 p.","startPage":"5203","endPage":"5217","ipdsId":"IP-081151","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-06","publicationStatus":"PW","scienceBaseUri":"5a06c8c5e4b09af898c860d5","contributors":{"authors":[{"text":"Sparks, Morgan M.","contributorId":200252,"corporation":false,"usgs":false,"family":"Sparks","given":"Morgan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. H.","affiliations":[],"preferred":false,"id":721608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":721609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192596,"text":"70192596 - 2017 - A Bayesian method for assessing multiscalespecies-habitat relationships","interactions":[],"lastModifiedDate":"2017-12-11T13:12:54","indexId":"70192596","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian method for assessing multiscalespecies-habitat relationships","docAbstract":"Context
Scientists face several theoretical and methodological challenges in appropriately describing fundamental wildlife-habitat relationships in models. The spatial scales of habitat relationships are often unknown, and are expected to follow a multi-scale hierarchy. Typical frequentist or information theoretic approaches often suffer under collinearity in multi-scale studies, fail to converge when models are complex or represent an intractable computational burden when candidate model sets are large.
Objectives
Our objective was to implement an automated, Bayesian method for inference on the spatial scales of habitat variables that best predict animal abundance.
Methods
We introduce Bayesian latent indicator scale selection (BLISS), a Bayesian method to select spatial scales of predictors using latent scale indicator variables that are estimated with reversible-jump Markov chain Monte Carlo sampling. BLISS does not suffer from collinearity, and substantially reduces computation time of studies. We present a simulation study to validate our method and apply our method to a case-study of land cover predictors for ring-necked pheasant (Phasianus colchicus) abundance in Nebraska, USA.
Results
Our method returns accurate descriptions of the explanatory power of multiple spatial scales, and unbiased and precise parameter estimates under commonly encountered data limitations including spatial scale autocorrelation, effect size, and sample size. BLISS outperforms commonly used model selection methods including stepwise and AIC, and reduces runtime by 90%.
Conclusions
Given the pervasiveness of scale-dependency in ecology, and the implications of mismatches between the scales of analyses and ecological processes, identifying the spatial scales over which species are integrating habitat information is an important step in understanding species-habitat relationships. BLISS is a widely applicable method for identifying important spatial scales, propagating scale uncertainty, and testing hypotheses of scaling relationships.
The phenology of egg production and oviposition in organisms affects survival and development of neonates and thus, both offspring and maternal fitness. In addition, in organisms with environmental sex determination, clutch phenology can affect hatchling sex ratios with attendant effects on population demography. The rapid rate of contemporary climate change might disrupt reproductive phenologies that evolved to match environmental conditions. To better understand the response of clutch phenology to annual and long-term changes in climate, we studied a population of Sonoran Desert Tortoises (Gopherus morafkai) in Arizona in 1993 and 1997–2005, specifically quantifying three phenophases, including (1) the estimated time of appearance of shelled eggs in females, (2) the estimated time that eggs were last visible in X-radiographs, and (3) the duration of the interval between the first two events. The mean date for appearance of shelled eggs was 6 June, and the mean date they were last visible was 26 June. After controlling for individual female effects, these dates were different among years. The total number of days that eggs were visible across all females within a year differed among years, but the mean duration of time that clutches were visible, after controlling for individual female effects, was similar among years. Three of 18 females exhibited interannual egg retention on 5 occasions from 52 clutches. Although G. morafkai ovulates only one clutch per year, they might oviposit up to two because of interannual egg retention. Most females produced shelled eggs through heat-unit accumulation achieving 8.3 degree days within a 14-d moving average. The ability to vary the timing of egg formation and oviposition might buffer G. morafkai from some of the effects of predicted increases in temperatures, but species-specific information on developmental temperatures and nesting behavior are needed to determine whether or not the species will be able to produce viable clutches of mixed sex ratios in a warmer climate.
","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/HERPETOLOGICA-D-17-00007.1","usgsCitation":"Lovich, J.E., Averill-Murray, R.C., Agha, M., Ennen, J., and Austin, M., 2017, Variation in annual clutch phenology of desert tortoises (Gopherus morafkai) in the Sonoran Desert of Arizona: Herpetologica, v. 73, no. 4, p. 313-322, https://doi.org/10.1655/HERPETOLOGICA-D-17-00007.1.","productDescription":"10 p.","startPage":"313","endPage":"322","ipdsId":"IP-081459","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":348583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"73","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c0e4b09af898c860b2","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":721478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Averill-Murray, Roy C.","contributorId":200226,"corporation":false,"usgs":false,"family":"Averill-Murray","given":"Roy","email":"","middleInitial":"C.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":721479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":721480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":721481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Austin, Meaghan","contributorId":200227,"corporation":false,"usgs":false,"family":"Austin","given":"Meaghan","email":"","affiliations":[{"id":35714,"text":"Trileaf Environmental Corporation, 2121 W. Chandler Blvd. Suite 203, Chandler, AZ 85224, USA","active":true,"usgs":false}],"preferred":false,"id":721482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192627,"text":"70192627 - 2017 - Safari Science: Assessing the reliability of citizen science data for wildlife surveys","interactions":[],"lastModifiedDate":"2017-11-29T16:04:24","indexId":"70192627","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Safari Science: Assessing the reliability of citizen science data for wildlife surveys","docAbstract":"The United Nations’ (UN) 2030 Agenda for Sustainable Development defines the formidable challenge of integrating historically separate economic, social, and environmental goals into a unified ‘plan of action for people, planet, and prosperity.’ We highlight the substantial contribution inland fisheries can make towards preventing increased poverty and, in some cases, alleviating poverty (i.e. addressing Sustainable Development Goal [SDG] 1: No Poverty) as an opportunity to inform the next set of development agendas and their associated budgets and priorities. Overlooking the contribution of inland fisheries to poverty prevention and alleviation may undermine the capacity to successfully meet the development goals, especially in rural communities in Low-Income Food-Deficit countries. Inland fisheries are essential for food and economic security as the vast majority are small-scale operations or subsistence, predominantly used by poorer groups. Protecting inland fisheries from diverse threats from other water users and associated sectors requires robust, multi-sectoral, and multinational policies that can be brought about by global initiatives like the SDGs. Without such protection, their vital contribution towards sustainable livelihoods and poverty issues becomes uncertain. Further, integrating inland fisheries into sustainable development frameworks strengthens the likelihood of achieving the UN Agenda for Sustainable Development. In this perspective article, we posit that including inland fisheries in national policy statements and programs can prove beneficial to promoting economic and social growth for the poor, preventing further poverty, and achieving SDG 1 and other SDG targets, especially those related to food security.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2017.10.005","usgsCitation":"Lynch, A., Cowx, I., Fluet-Chouinard, E., Glaser, S.M., Phang, S.C., Beard, T., Bower, S.D., Brooks, J., Bunnell, D.B., Claussen, J., Cooke, S.J., Kao, Y., Lorenzen, K., Myers, B., Reid, A.J., Taylor, J.J., and Youn, S., 2017, Inland fisheries – Invisible but integral to the UN Sustainable Development Agenda for ending poverty by 2030: Global Environmental Change, v. 47, p. 167-173, https://doi.org/10.1016/j.gloenvcha.2017.10.005.","productDescription":"7 p.","startPage":"167","endPage":"173","ipdsId":"IP-085649","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488850,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hull-repository.worktribe.com/output/529008","text":"External Repository"},{"id":369922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowx, I.G.","contributorId":48794,"corporation":false,"usgs":true,"family":"Cowx","given":"I.G.","email":"","affiliations":[],"preferred":false,"id":776668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fluet-Chouinard, Etienne","contributorId":217392,"corporation":false,"usgs":false,"family":"Fluet-Chouinard","given":"Etienne","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":776669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glaser, S. M.","contributorId":221027,"corporation":false,"usgs":false,"family":"Glaser","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":776670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phang, Sui C.","contributorId":169462,"corporation":false,"usgs":false,"family":"Phang","given":"Sui","email":"","middleInitial":"C.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":776671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beard, T. Douglas Jr. dbeard@usgs.gov","contributorId":150495,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":776672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bower, S. 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J.","contributorId":221030,"corporation":false,"usgs":false,"family":"Taylor","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":776682,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Youn, S.","contributorId":221031,"corporation":false,"usgs":false,"family":"Youn","given":"S.","affiliations":[],"preferred":false,"id":776683,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70193907,"text":"70193907 - 2017 - Monogenea of fishes from the lagoon flats of Palmyra Atoll in the Central Pacific","interactions":[],"lastModifiedDate":"2017-11-09T10:28:35","indexId":"70193907","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3808,"text":"ZooKeys","active":true,"publicationSubtype":{"id":10}},"title":"Monogenea of fishes from the lagoon flats of Palmyra Atoll in the Central Pacific","docAbstract":"A survey of the monogeneans of fishes from the lagoon flats of Palmyra Atoll detected 16 species already reported from the Indo-West Pacific faunal region. A total of 653 individual fish from 44 species were collected from the sand flats bordering the lagoon of the atoll. Eighteen species of fish were infected with monogeneans. The monogenean species recovered were: Benedenia hawaiiensis on Acanthurus xanthopterus, Chaetodon auriga, Chaetodon lunula, Mulloidichthys flavolineatus, Pseudobalistes flavimarginatus and Rhinecanthus aculeatus; Ancyrocephalus ornatus on Arothron hispidus; Euryhaliotrema annulocirrus on Chaetodon auriga and Chaetodon lunula; Euryhaliotrema chrysotaeniae on Lutjanus fulvus; Euryhaliotrema grandis on Chaetodon auriga and Chaetodon lunula; Haliotrema acanthuri on Acanthurus triostegus; Haliotrema aurigae on Chaetodon auriga and Chaetodon lunula; Haliotrema dempsteri on Acanthurus xanthopterus; Haliotrema minutospirale on Mulloidichthys flavolineatus; Haliotrematoides patellacirrus on Lutjanus monostigma; Neohaliotrema bombini on Abudefduf septemfasciatus and Abudefduf sordidus; Acleotrema girellae and Acleotrema parastromatei on Kyphosus cinerascens; Cemocotylella elongata on Caranx ignobilis, Caranx melampygus and Caranx papuensis; Metamicrocotyla macracantha on Crenimugil crenilabris; and Pseudopterinotrema albulae on Albula glossodonta. All these monogenean–host combinations represent new geographical records. The monogenean species composition of the Palmyra Atoll is similar to that of the Hawaiian Islands. However, the number of species recovered was lower compared with other localities within the Indo-West Pacific, perhaps due to the geographical isolation of Palmyra Atoll.
","language":"English","publisher":"PenSoft","doi":"10.3897/zookeys.713.14732","usgsCitation":"Vidal-Martinez, V.M., Soler-Jimenez, L.C., Aguirre-Macedo, M.L., Mclaughlin, J., Jaramillo, A.G., Shaw, J.C., James, A., Hechinger, R.F., Kuris, A.M., and Lafferty, K.D., 2017, Monogenea of fishes from the lagoon flats of Palmyra Atoll in the Central Pacific: ZooKeys, v. 713, p. 1-23, https://doi.org/10.3897/zookeys.713.14732.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-091356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/zookeys.713.14732","text":"Publisher Index Page"},{"id":348529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Palmyra Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.12026596069336,\n 5.863561284867984\n ],\n [\n -162.03460693359375,\n 5.863561284867984\n ],\n [\n -162.03460693359375,\n 5.902067064370351\n ],\n [\n -162.12026596069336,\n 5.902067064370351\n ],\n [\n -162.12026596069336,\n 5.863561284867984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"713","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-02","publicationStatus":"PW","scienceBaseUri":"5a05771ae4b09af898c70859","contributors":{"authors":[{"text":"Vidal-Martinez, Victor Manuel","contributorId":200198,"corporation":false,"usgs":false,"family":"Vidal-Martinez","given":"Victor","email":"","middleInitial":"Manuel","affiliations":[],"preferred":false,"id":721409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soler-Jimenez, Lilia Catherinne","contributorId":200199,"corporation":false,"usgs":false,"family":"Soler-Jimenez","given":"Lilia","email":"","middleInitial":"Catherinne","affiliations":[],"preferred":false,"id":721410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aguirre-Macedo, Ma. 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Impaired fertility and fecundity in fish following chronic exposures to estrogens and estrogen mimics during critical windows in development are well documented. However, information regarding differential reproductive effects of exposure within defined developmental stages remains sparse. In this study, reproductive capacity was assessed in Japanese medaka (Oryzias latipes) after exposure to two concentrations of 17β–estradiol (E2β; 2 ng/L and 50 ng/L) during four distinct stages of development: gonad development, gonad differentiation, development of secondary sex characteristics (SSC) and gametogenesis. Exposure to E2β did not adversely impact survival, hatch success, growth, or genotypic ratios. In contrast, exposure to 50 ng/L E2β during SSC development altered phenotypic ratios and SSC. Exposure to both E2β treatments reduced reproductive capacity (fertility, fecundity) by 7.3–57.4% in adult medaka breeding pairs, with hindrance of SSC development resulting in the largest disruption in breeding capacity (51.6–57.4% decrease) in the high concentration. This study documents differential effects among four critical stages of development and provides insight into factors (window of exposure, exposure concentration and duration of exposure period) contributing to reproductive disruption in fish.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b01568","usgsCitation":"Lee Pow, C.S., Tilahun, K., Creech, K., Law, J.M., Cope, W., Kwak, T.J., Rice, J., Aday, D.D., and Kullman, S.W., 2017, Windows of susceptibility and consequences of early life exposures to 17β–estradiol on medaka (Oryzias latipes) reproductive success: Environmental Science & Technology, v. 51, no. 9, p. 5296-5305, https://doi.org/10.1021/acs.est.7b01568.","productDescription":"10 p.","startPage":"5296","endPage":"5305","ipdsId":"IP-086265","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"5a05771ce4b09af898c70865","contributors":{"authors":[{"text":"Lee Pow, Crystal S. D.","contributorId":176861,"corporation":false,"usgs":false,"family":"Lee Pow","given":"Crystal","email":"","middleInitial":"S. D.","affiliations":[],"preferred":false,"id":721443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tilahun, Kedamawit","contributorId":200213,"corporation":false,"usgs":false,"family":"Tilahun","given":"Kedamawit","email":"","affiliations":[],"preferred":false,"id":721444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creech, Kari","contributorId":200214,"corporation":false,"usgs":false,"family":"Creech","given":"Kari","email":"","affiliations":[],"preferred":false,"id":721445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Law, J. Mac","contributorId":176862,"corporation":false,"usgs":false,"family":"Law","given":"J.","email":"","middleInitial":"Mac","affiliations":[],"preferred":false,"id":721446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":721447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, James A.","contributorId":176863,"corporation":false,"usgs":false,"family":"Rice","given":"James A.","affiliations":[],"preferred":false,"id":721448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aday, D. Derek","contributorId":176864,"corporation":false,"usgs":false,"family":"Aday","given":"D.","email":"","middleInitial":"Derek","affiliations":[],"preferred":false,"id":721449,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kullman, Seth W.","contributorId":62516,"corporation":false,"usgs":true,"family":"Kullman","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721450,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193821,"text":"70193821 - 2017 - Evidence for density dependence in foraging and migratory behavior of a subtropical nearshore seabird","interactions":[],"lastModifiedDate":"2017-11-09T11:23:34","indexId":"70193821","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for density dependence in foraging and migratory behavior of a subtropical nearshore seabird","docAbstract":"Density-dependent competition for food resources influences both foraging ecology and reproduction in a variety of animals. The relationship between colony size, local prey depletion, and reproductive output in colonial central-place foragers has been extensively studied in seabirds; however, most studies have focused on effects of intraspecific competition during the breeding season, while little is known about whether density-dependent resource depletion influences individual migratory behavior outside the breeding season. Using breeding colony size as a surrogate for intraspecific resource competition, we tested for effects of colony size on breeding home range, nestling health, and migratory patterns of a nearshore colonial seabird, the brown pelican (Pelecanus occidentalis), originating from seven breeding colonies of varying sizes in the subtropical northern Gulf of Mexico. We found evidence for density-dependent effects on foraging behavior during the breeding season, as individual foraging areas increased linearly with the number of breeding pairs per colony. Contrary to our predictions, however, nestlings from more numerous colonies with larger foraging ranges did not experience either decreased condition or increased stress. During nonbreeding, individuals from larger colonies were more likely to migrate, and traveled longer distances, than individuals from smaller colonies, indicating that the influence of density-dependent effects on distribution persists into the nonbreeding period. We also found significant effects of individual physical condition, particularly body size, on migratory behavior, which in combination with colony size suggesting that dominant individuals remain closer to breeding sites during winter. We conclude that density-dependent competition may be an important driver of both the extent of foraging ranges and the degree of migration exhibited by brown pelicans. However, the effects of density-dependent competition on breeding success and population regulation remain uncertain in this system.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3216","usgsCitation":"Lamb, J.S., Satge, Y.G., and Jodice, P.G., 2017, Evidence for density dependence in foraging and migratory behavior of a subtropical nearshore seabird: Ecology and Evolution, v. 7, no. 16, p. 6469-6481, https://doi.org/10.1002/ece3.3216.","productDescription":"13 p.","startPage":"6469","endPage":"6481","ipdsId":"IP-074561","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3216","text":"Publisher Index Page"},{"id":348535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.1298828125,\n 19.932041306115536\n ],\n [\n -82.0458984375,\n 19.932041306115536\n ],\n [\n -82.0458984375,\n 31.42866311735861\n ],\n [\n -98.1298828125,\n 31.42866311735861\n ],\n [\n -98.1298828125,\n 19.932041306115536\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5a05771ce4b09af898c70862","contributors":{"authors":[{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Satge, Yvan G.","contributorId":200132,"corporation":false,"usgs":false,"family":"Satge","given":"Yvan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.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":720609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193823,"text":"70193823 - 2017 - Efficacy of time-lapse photography and repeated counts abundance estimation for white-tailed deer populations","interactions":[],"lastModifiedDate":"2017-11-09T11:05:20","indexId":"70193823","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5278,"text":"Mammal Research","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of time-lapse photography and repeated counts abundance estimation for white-tailed deer populations","docAbstract":"Automated cameras have become increasingly common for monitoring wildlife populations and estimating abundance. Most analytical methods, however, fail to account for incomplete and variable detection probabilities, which biases abundance estimates. Methods which do account for detection have not been thoroughly tested, and those that have been tested were compared to other methods of abundance estimation. The goal of this study was to evaluate the accuracy and effectiveness of the N-mixture method, which explicitly incorporates detection probability, to monitor white-tailed deer (Odocoileus virginianus) by using camera surveys and a known, marked population to collect data and estimate abundance. Motion-triggered camera surveys were conducted at Auburn University’s deer research facility in 2010. Abundance estimates were generated using N-mixture models and compared to the known number of marked deer in the population. We compared abundance estimates generated from a decreasing number of survey days used in analysis and by time periods (DAY, NIGHT, SUNRISE, SUNSET, CREPUSCULAR, ALL TIMES). Accurate abundance estimates were generated using 24 h of data and nighttime only data. Accuracy of abundance estimates increased with increasing number of survey days until day 5, and there was no improvement with additional data. This suggests that, for our system, 5-day camera surveys conducted at night were adequate for abundance estimation and population monitoring. Further, our study demonstrates that camera surveys and N-mixture models may be a highly effective method for estimation and monitoring of ungulate populations.
","language":"English","publisher":"Springer","doi":"10.1007/s13364-017-0319-z","usgsCitation":"Keever, A., McGowan, C.P., Ditchkoff, S.S., Acker, S., Grand, J.B., and Newbolt, C.H., 2017, Efficacy of time-lapse photography and repeated counts abundance estimation for white-tailed deer populations: Mammal Research, v. 62, no. 4, p. 413-422, https://doi.org/10.1007/s13364-017-0319-z.","productDescription":"10 p.","startPage":"413","endPage":"422","ipdsId":"IP-052763","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a05771ce4b09af898c7085f","contributors":{"authors":[{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":721428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":720611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditchkoff, Stephen S.","contributorId":193053,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Acker, S.A.","contributorId":104709,"corporation":false,"usgs":true,"family":"Acker","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":721430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newbolt, Chad H.","contributorId":200209,"corporation":false,"usgs":false,"family":"Newbolt","given":"Chad","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":721431,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193909,"text":"70193909 - 2017 - Mangrove ecosystems under climate change","interactions":[],"lastModifiedDate":"2017-11-09T11:30:05","indexId":"70193909","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mangrove ecosystems under climate change","docAbstract":"This chapter assesses the response of mangrove ecosystems to possible outcomes of climate change, with regard to the following categories: (i) distribution, diversity, and community composition, (ii) physiology of flora and fauna, (iii) water budget, (iv) productivity and remineralization, (v) carbon storage in biomass and sediments, and (vi) the filter function for elements beneficial or harmful to life. These categories are then used to identify the regions most vulnerable to climate change. The four most important factors determining the response of mangrove ecosystems to climate change are sea level rise, an increase in frequency and/or intensity of storms, increases in temperature, and aridity. While these changes may be beneficial for some mangrove forests at latitudinal distribution limits, they will threaten forest structure and functions and related ecosystem services in most cases. The interaction of climate change with human interventions is discussed, as well as the effects on ecosystem services including possible adaptation and management options. The chapter closes with an outlook on knowledge gaps and priority research needed to fill these gaps.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mangrove Ecosystems: A Global Biogeographic Perspective","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-62206-4_7","usgsCitation":"Jennerjahn, T., Gilman, E., Krauss, K.W., Lacerda, L., Nordhaus, I., and Wolanski, E., 2017, Mangrove ecosystems under climate change, chap. of Mangrove Ecosystems: A Global Biogeographic Perspective, p. 211-244, https://doi.org/10.1007/978-3-319-62206-4_7.","productDescription":"34 p.","startPage":"211","endPage":"244","ipdsId":"IP-065373","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":348536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-04","publicationStatus":"PW","scienceBaseUri":"5a05771ae4b09af898c70856","contributors":{"authors":[{"text":"Jennerjahn, T.C.","contributorId":200210,"corporation":false,"usgs":false,"family":"Jennerjahn","given":"T.C.","affiliations":[],"preferred":false,"id":721438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilman, E.","contributorId":173725,"corporation":false,"usgs":false,"family":"Gilman","given":"E.","email":"","affiliations":[],"preferred":false,"id":721439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":721432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lacerda, L.D.","contributorId":200211,"corporation":false,"usgs":false,"family":"Lacerda","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":721440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordhaus, I.","contributorId":200212,"corporation":false,"usgs":false,"family":"Nordhaus","given":"I.","email":"","affiliations":[],"preferred":false,"id":721441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolanski, E.","contributorId":99264,"corporation":false,"usgs":true,"family":"Wolanski","given":"E.","affiliations":[],"preferred":false,"id":721442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193809,"text":"70193809 - 2017 - Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection","interactions":[],"lastModifiedDate":"2017-11-09T11:57:32","indexId":"70193809","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection","docAbstract":"Ecologically relevant streamflow characteristics (SFCs) of ungauged catchments are often estimated from simulated runoff of hydrologic models that were originally calibrated on gauged catchments. However, SFC estimates of the gauged donor catchments and subsequently the ungauged catchments can be substantially uncertain when models are calibrated using traditional approaches based on optimization of statistical performance metrics (e.g., Nash–Sutcliffe model efficiency). An improved calibration strategy for gauged catchments is therefore crucial to help reduce the uncertainties of estimated SFCs for ungauged catchments. The aim of this study was to improve SFC estimates from modeled runoff time series in gauged catchments by explicitly including one or several SFCs in the calibration process. Different types of objective functions were defined consisting of the Nash–Sutcliffe model efficiency, single SFCs, or combinations thereof. We calibrated a bucket-type runoff model (HBV – Hydrologiska Byråns Vattenavdelning – model) for 25 catchments in the Tennessee River basin and evaluated the proposed calibration approach on 13 ecologically relevant SFCs representing major flow regime components and different flow conditions. While the model generally tended to underestimate the tested SFCs related to mean and high-flow conditions, SFCs related to low flow were generally overestimated. The highest estimation accuracies were achieved by a SFC-specific model calibration. Estimates of SFCs not included in the calibration process were of similar quality when comparing a multi-SFC calibration approach to a traditional model efficiency calibration. For practical applications, this implies that SFCs should preferably be estimated from targeted runoff model calibration, and modeled estimates need to be carefully interpreted.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-21-5443-2017","usgsCitation":"Poole, S., Vis, M., Knight, R., and Seibert, J., 2017, Streamflow characteristics from modelled runoff time series: Importance of calibration criteria selection: Hydrology and Earth System Sciences, v. 21, p. 5443-5457, https://doi.org/10.5194/hess-21-5443-2017.","productDescription":"15 p.","startPage":"5443","endPage":"5457","ipdsId":"IP-078840","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":469334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-21-5443-2017","text":"Publisher Index Page"},{"id":348538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Tennessee River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.549560546875,\n 36.474306755095206\n ],\n [\n -89.40673828124999,\n 36.1290016556965\n ],\n [\n -88.450927734375,\n 34.49750272138159\n ],\n [\n -88.04443359375,\n 34.125447565116126\n ],\n [\n -87.29736328125,\n 34.125447565116126\n ],\n [\n -86.63818359374999,\n 34.11635246997272\n ],\n [\n -85.924072265625,\n 34.30714385628802\n ],\n [\n -85.71533203124999,\n 34.56990638085633\n ],\n [\n -85.60546875,\n 34.93998515156041\n ],\n [\n -84.99023437499999,\n 34.99400375757575\n ],\n [\n -84.57275390624999,\n 34.858890491257796\n ],\n [\n -84.12231445312499,\n 34.867904962568744\n ],\n [\n -83.60595703124999,\n 35.54116627999815\n ],\n [\n -83.03466796874999,\n 35.71975793933433\n ],\n [\n -82.86987304687499,\n 35.90684930677118\n ],\n [\n -82.46337890625,\n 36.01356058518151\n ],\n [\n -81.91406249999999,\n 36.1822249804225\n ],\n [\n -81.94702148437499,\n 36.70365959719453\n ],\n [\n -81.73828125,\n 37.21283151445594\n ],\n [\n -81.771240234375,\n 37.39634613318923\n ],\n [\n -81.990966796875,\n 37.47485808497102\n ],\n [\n -82.24365234375,\n 37.33522435930639\n ],\n [\n -83.34228515624999,\n 36.84446074079561\n ],\n [\n -84.08935546874999,\n 36.76529191711621\n ],\n [\n -84.86938476562499,\n 36.756490329505155\n ],\n [\n -85.62744140624999,\n 36.633162095586556\n ],\n [\n -85.81420898437499,\n 36.27970720524017\n ],\n [\n -86.91284179687499,\n 36.11125252076156\n ],\n [\n -87.50610351562499,\n 36.32397712011264\n ],\n [\n -87.80273437499999,\n 36.712467243386264\n ],\n [\n -88.01147460937499,\n 37.020098201368086\n ],\n [\n -88.2861328125,\n 37.142803443716836\n ],\n [\n -88.51684570312499,\n 37.05517710666079\n ],\n [\n -88.72558593749999,\n 37.10776507118514\n ],\n [\n -89.03320312499999,\n 37.17782559332976\n ],\n [\n -89.18701171874999,\n 37.02886944696474\n ],\n [\n -89.12109375,\n 36.976226784640936\n ],\n [\n -89.28588867187499,\n 36.5449494414832\n ],\n [\n -89.43969726562499,\n 36.55377524336086\n ],\n [\n -89.549560546875,\n 36.474306755095206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-06","publicationStatus":"PW","scienceBaseUri":"5a05771de4b09af898c70868","contributors":{"authors":[{"text":"Poole, Sandra","contributorId":174147,"corporation":false,"usgs":false,"family":"Poole","given":"Sandra","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":720577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vis, Marc","contributorId":174146,"corporation":false,"usgs":false,"family":"Vis","given":"Marc","email":"","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":720578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":720579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193824,"text":"70193824 - 2017 - Conservation status of an imperiled crayfish, Faxonius marchandi Hobbs, 1948 (Decapoda: Cambaridae)","interactions":[],"lastModifiedDate":"2017-11-09T11:00:07","indexId":"70193824","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5546,"text":"Journal of Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status of an imperiled crayfish, Faxonius marchandi Hobbs, 1948 (Decapoda: Cambaridae)","docAbstract":"We summarize the distribution, ecology, threats, and conservation status of Faxonius marchandi (Hobbs, 1948), the Mammoth Spring crayfish, a limited-range endemic species to the Spring River drainage of Missouri and Arkansas, USA. The species is known from 51 locations on lower-order perennial and intermittent streams in only the eastern portion of the drainage. Faxonius marchandi is found in larger rocky substrates in shallower, slower-velocity habitats of well-buffered, mineral-rich streams. The invading alien crayfish Faxonius neglectus chaenodactylus (Williams, 1952) is the most likely threat to F. marchandi. These compiled data should serve as a baseline for future comparison, and facilitate discussion about future management, conservation, and research efforts.
","language":"English","publisher":"The Crustacean Society","doi":"10.1093/jcbiol/rux075","usgsCitation":"DiStefano, R.J., Magoulick, D.D., Flinders, C., and Imhoff, E., 2017, Conservation status of an imperiled crayfish, Faxonius marchandi Hobbs, 1948 (Decapoda: Cambaridae): Journal of Conservation Biology, v. 37, no. 5, p. 529-534, https://doi.org/10.1093/jcbiol/rux075.","productDescription":"6 p.","startPage":"529","endPage":"534","ipdsId":"IP-087504","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jcbiol/rux075","text":"Publisher Index Page"},{"id":348532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Spring River","volume":"37","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-23","publicationStatus":"PW","scienceBaseUri":"5a05771be4b09af898c7085c","contributors":{"authors":[{"text":"DiStefano, Robert J.","contributorId":178202,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":720613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, C.A.","contributorId":6257,"corporation":false,"usgs":true,"family":"Flinders","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":721426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Imhoff, Emily M.","contributorId":145444,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily M.","affiliations":[],"preferred":false,"id":721427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190965,"text":"ofr20171118 - 2017 - Evaluation of the Eureka Manta2 Water-Quality Multiprobe Sonde ","interactions":[],"lastModifiedDate":"2017-11-10T09:59:07","indexId":"ofr20171118","displayToPublicDate":"2017-11-08T10:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1118","title":"Evaluation of the Eureka Manta2 Water-Quality Multiprobe Sonde ","docAbstract":"Two Eureka Manta2 3.5 water-quality multiprobe sondes by Eureka Water Probes were tested at the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) against known standards over the sonde operating temperatures to verify the manufacturer’s stated accuracy specifications for pH, specific conductance (SC) at 25 degrees Celsius (°C), dissolved oxygen (DO), and turbidity. The Manta2 sondes were evaluated for compliance with the USGS National Field Manual for the Collection of Water-Quality Data (NFM) criteria for continuous water-quality monitors, and for compliance with the manufacturer’s technical specifications. The Manta2 was also evaluated for its compliance to Serial Digital Interface at 1200 baud (SDI-12) version 1.3.
The Manta2 met the NFM recommendations and manufacturer’s accuracy specifications for DO and turbidity at all values tested. The Manta2 pH sensors met the NFM recommendations and manufacturer’s accuracy specification for nominal pH values of 10 and lower. One of the two sensors was out of compliance by 1.2 units for pH 11.16 at 15 °C and by 0.25 unit for pH 10.78 at 40 °C. The Manta2 sensors were within the NFM recommendations for SC, except at 100 microsiemens (μS/cm) at 40 °C, where the SC sensor exceeded the test standard value by as much as 25 percent. One of two sensors was within manufacturer’s accuracy specifications at 25 °C for all the tested SC values, while the other SC sensor was outside the manufacturer’s accuracy specifications at 100 μS/cm, exceeding the test standard value by 9 percent. One of two sensors was outside the manufacturer’s accuracy specifications at 10,000 μS/cm at 15°C, exceeding the test standard value by 3 percent. One Manta2 passed SDI-12 compliance testing with a NR Systems SDI-12 Verifier. One Manta2 was field tested for 6 weeks at USGS station 02492620, National Space Technology Laboratories (NSTL) Station, Mississippi, on the Pearl River and showed overall good agreement with a well-maintained Hydrolab Datasonde 5X site sonde for water temperature, pH, and DO. Differences in SC values between the Manta2 and the site sonde were most likely due to differences in the deployment depth of the sondes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171118","usgsCitation":"Tillman, E.F., 2017, Evaluation of the Eureka Manta2 Water-Quality Multiprobe Sonde: U.S. Geological Survey Open-File Report 2017–1118, 37 p., https://doi.org/10.3133/ofr20171118. ","productDescription":"vi, 37 p.","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076099","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":347738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1118/coverthb.jpg"},{"id":347739,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1118/ofr20171118.pdf","text":"Report","size":"1.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1118"}],"contact":"Chief, Hydrologic Instrumentation Facility
U.S. Geological Survey
Building 2101
Stennis Space Center, MS 39529
Assessment of a species' status is a key part of management decision making for endangered and threatened species under the U.S. Endangered Species Act. Predicting the future state of the species is an essential part of species status assessment, and projection models can play an important role in developing predictions. We built a stochastic simulation model that incorporated parametric and environmental uncertainty to predict the probable future status of the Sonoran desert tortoise in the southwestern United States and North Central Mexico. Sonoran desert tortoise was a Candidate species for listing under the Endangered Species Act, and decision makers wanted to use model predictions in their decision making process. The model accounted for future habitat loss and possible effects of climate change induced droughts to predict future population growth rates, abundances, and quasi-extinction probabilities. Our model predicts that the population will likely decline over the next few decades, but there is very low probability of quasi-extinction less than 75 years into the future. Increases in drought frequency and intensity may increase extinction risk for the species. Our model helped decision makers predict and characterize uncertainty about the future status of the species in their listing decision. We incorporated complex ecological processes (e.g., climate change effects on tortoises) in transparent and explicit ways tailored to support decision making processes related to endangered species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.09.004","usgsCitation":"McGowan, C.P., Allan, N., Servoss, J., Hedwall, S.J., and Wooldridge, B., 2017, Incorporating population viability models into species status assessment and listing decisions under the U.S. Endangered Species Act: Global Ecology and Conservation, v. 12, p. 119-130, https://doi.org/10.1016/j.gecco.2017.09.004.","productDescription":"12 p.","startPage":"119","endPage":"130","ipdsId":"IP-084680","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.09.004","text":"Publisher Index Page"},{"id":348431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.63037109375,\n 34.397844946449865\n ],\n [\n -115.42236328124999,\n 30.240086360983426\n ],\n [\n -111.73095703125,\n 31.55981453201843\n ],\n [\n -114.78515624999999,\n 34.63320791137959\n ],\n [\n -118.63037109375,\n 34.397844946449865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425afe4b0dc0b45b452f7","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":720620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan","contributorId":187742,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[],"preferred":false,"id":721088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Servoss, Jeff","contributorId":200133,"corporation":false,"usgs":false,"family":"Servoss","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":721089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hedwall, Shaula J.","contributorId":82196,"corporation":false,"usgs":true,"family":"Hedwall","given":"Shaula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wooldridge, Brian","contributorId":200134,"corporation":false,"usgs":false,"family":"Wooldridge","given":"Brian","email":"","affiliations":[],"preferred":false,"id":721091,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193535,"text":"70193535 - 2017 - Responses of terrestrial herpetofauna to persistent, novel ecosystems resulting from mountaintop removal mining","interactions":[],"lastModifiedDate":"2017-12-19T16:38:52","indexId":"70193535","displayToPublicDate":"2017-11-08T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Responses of terrestrial herpetofauna to persistent, novel ecosystems resulting from mountaintop removal mining","docAbstract":"Mountaintop removal mining is a large-scale surface mining technique that removes entire floral and faunal communities, along with soil horizons located above coal seams. In West Virginia, the majority of this mining occurs on forested mountaintops. However, after mining ceases the land is typically reclaimed to grasslands and shrublands, resulting in novel ecosystems. In this study, we examined responses of herpetofauna to these novel ecosystems 10–28 y postreclamation. We quantified differences in species-specific habitat associations, (sub)order-level abundances, and habitat characteristics in four habitat types: reclaimed grassland, reclaimed shrubland, forest fragments in mined areas, and nonmined intact forest. Habitat type accounted for 33.2% of the variation in species-specific captures. With few exceptions, forest specialists were associated with intact forest and fragmented forest sites, while habitat generalists were either associated with grassland and shrubland sites or were distributed among all habitat types. At the (sub)order level, salamander (Order Urodela) captures were highest at fragmented and intact forest sites, frog and toad (Order Anura) captures were lowest at intact forest sites, and snake (Suborder Serpentes) captures were highest at shrubland sites. Habitat type was a strong predictor for estimated total abundance of urodeles, but not for anurans or snakes. Tree stem densities in grasslands differed from the other three habitat types, and large trees (>38 cm diameter at breast height) were only present at forest sites. Overstory vegetation cover was greater in forested than in reclaimed habitat types. Ground cover in reclaimed grasslands was distinct from forest treatments with generally less woody debris and litter cover and more vegetative cover. It is important to consider the distributions of habitat specialists of conservation concern when delineating potential mountaintop mine sites, as these sites will likely contain unsuitable habitat for forest specialists for decades or centuries when reclaimed to grassland or shrubland.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102016-JFWM-079","usgsCitation":"Williams, J.M., Brown, D., and Wood, P.B., 2017, Responses of terrestrial herpetofauna to persistent, novel ecosystems resulting from mountaintop removal mining: Journal of Fish and Wildlife Management, v. 8, no. 2, p. 387-400, https://doi.org/10.3996/102016-JFWM-079.","productDescription":"14 p.","startPage":"387","endPage":"400","ipdsId":"IP-078926","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102016-jfwm-079","text":"Publisher Index Page"},{"id":348523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","volume":"8","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-01","publicationStatus":"PW","scienceBaseUri":"5a0425b0e4b0dc0b45b45300","contributors":{"authors":[{"text":"Williams, Jennifer M.","contributorId":169811,"corporation":false,"usgs":false,"family":"Williams","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":719300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Donald J.","contributorId":191568,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":721394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}