The Arauco Peninsula (37°-38°S) in south-central Chile has been proposed as a possible barrier to the along-strike propagation of megathrust ruptures, separating historical earthquakes to the south (1960 AD 1837, 1737, and 1575) and north (2010 AD, 1835, 1751, 1657, and 1570) of the peninsula. However, the 2010 (Mw 8.8) earthquake propagated into the Arauco Peninsula, re-rupturing part of the megathrust that had ruptured only 50 years earlier during the largest subduction zone earthquake in the instrumental record (Mw 9.5). To better understand long-term slip variability in the Arauco Peninsula region, we analyzed four coastal sedimentary sections from two sites (Tirúa, 38.3°S and Quidico, 38.1°S) located within the overlap of the 2010 and 1960 ruptures to reconstruct a ∼600-year record of coseismic land-level change and tsunami inundation. Stratigraphic, lithologic, and diatom results show variable coseismic land-level change coincident with tsunami inundation of the Tirúa and Quidico marshes that is consistent with regional historical accounts of coseismic subsidence during earthquakes along the Valdivia portion of the subduction zone (1960 AD and 1575) and coseismic uplift during earthquakes along the Maule portion of the subduction zone (2010 AD, 1835, 1751). In addition, we document variable coseismic land-level change associated with three new prehistoric earthquakes and accompanying tsunamis in 1470–1570 AD, 1425–1455, and 270–410. The mixed record of coseismic subsidence and uplift that we document illustrates the variability of down-dip and lateral slip distribution at the overlap of the 2010 and 1960 ruptures, showing that ruptures have repeatedly propagated into, but not through the Arauco Peninsula and suggesting the area has persisted as a long-term impediment to slip through at least seven of the last megathrust earthquakes (∼600 years).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.08.023","usgsCitation":"Dura, T., Horton, B.P., Cisternas, M., Ely, L.L., Hong, I., Nelson, A.R., Wesson, R.L., Pilarczyk, J.E., Parnell, A.C., and Nikitina, D., 2017, Subduction zone slip variability during the last millennium, south-central Chile: Quaternary Science Reviews, v. 175, p. 112-137, https://doi.org/10.1016/j.quascirev.2017.08.023.","productDescription":"26 p.","startPage":"112","endPage":"137","ipdsId":"IP-089921","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469325,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.08.023","text":"External Repository"},{"id":348625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","volume":"175","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bafe4b09af898c94139","contributors":{"authors":[{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":717571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false},{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":717572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cisternas, Macro","contributorId":198898,"corporation":false,"usgs":false,"family":"Cisternas","given":"Macro","email":"","affiliations":[{"id":34895,"text":"Pontificia Universidad Catolica de Valparaiso","active":true,"usgs":false}],"preferred":false,"id":717573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Lisa L","contributorId":195529,"corporation":false,"usgs":false,"family":"Ely","given":"Lisa","email":"","middleInitial":"L","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":717574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hong, Isabel","contributorId":193398,"corporation":false,"usgs":false,"family":"Hong","given":"Isabel","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":717575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilarczyk, Jessica E.","contributorId":192806,"corporation":false,"usgs":false,"family":"Pilarczyk","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":717578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parnell, Andrew C.","contributorId":150753,"corporation":false,"usgs":false,"family":"Parnell","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":717579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nikitina, Daria","contributorId":193404,"corporation":false,"usgs":false,"family":"Nikitina","given":"Daria","email":"","affiliations":[{"id":16171,"text":"West Chester University","active":true,"usgs":false}],"preferred":false,"id":717580,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192996,"text":"70192996 - 2017 - Sampling uncharted waters: Examining rearing habitat of larval Longfin Smelt (Spirinchus thaleichthys) in the upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2017-11-12T12:44:02","indexId":"70192996","displayToPublicDate":"2017-11-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sampling uncharted waters: Examining rearing habitat of larval Longfin Smelt (Spirinchus thaleichthys) in the upper San Francisco Estuary","title":"Sampling uncharted waters: Examining rearing habitat of larval Longfin Smelt (Spirinchus thaleichthys) in the upper San Francisco Estuary","docAbstract":"The southern-most reproducing Longfin Smelt population occurs in the San Francisco Estuary, California, USA. Long-term monitoring of estuarine habitat for this species has generally only considered deep channels, with little known of the role shallow waters play in supporting their early life stage. To address the need for focused research on shallow-water habitat, a targeted study of Longfin Smelt larvae in littoral habitat was conducted to identify potential rearing habitats during 2013 and 2014. Our study objectives were to (1) determine if larval densities vary between littoral habitats (tidal slough vs. open-water shoal), (2) determine how larval densities in littoral habitats vary with physicochemical and biological attributes, (3) determine if larval densities vary between littoral habitats and long-term monitoring channel collections, and (4) determine what factors predict larval rearing distributions from the long-term monitoring channel collections. Larval densities did not vary between littoral habitats but they did vary between years. Water temperature, salinity, and chlorophyll a were found important in predicting larval densities in littoral habitats. Larval densities do not vary between littoral and channel surveys; however, the analysis based on channel data suggests that Longfin Smelt are hatching and rearing in a much broader region and under higher salinities (∼2–12 psu) than previously recognized. Results of this study indicate that conservation efforts should consider how freshwater flow, habitat, climate, and food webs interact as mechanisms that influence Longfin Smelt recruitment in estuarine environments.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0255-9","usgsCitation":"Grimaldo, L., Feyrer, F.V., Burns, J., and Maniscalco, D., 2017, Sampling uncharted waters: Examining rearing habitat of larval Longfin Smelt (Spirinchus thaleichthys) in the upper San Francisco Estuary: Estuaries and Coasts, v. 40, no. 6, p. 1771-1784, https://doi.org/10.1007/s12237-017-0255-9.","productDescription":"14 p.","startPage":"1771","endPage":"1784","ipdsId":"IP-085099","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":348624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","volume":"40","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-17","publicationStatus":"PW","scienceBaseUri":"5a096bb0e4b09af898c9413b","contributors":{"authors":[{"text":"Grimaldo, Lenny","contributorId":10728,"corporation":false,"usgs":false,"family":"Grimaldo","given":"Lenny","email":"","affiliations":[{"id":35724,"text":"ICF, San Francisco, USA","active":true,"usgs":false}],"preferred":false,"id":717561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Jillian","contributorId":198892,"corporation":false,"usgs":false,"family":"Burns","given":"Jillian","email":"","affiliations":[{"id":35724,"text":"ICF, San Francisco, USA","active":true,"usgs":false}],"preferred":false,"id":717562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maniscalco, Donna","contributorId":198893,"corporation":false,"usgs":false,"family":"Maniscalco","given":"Donna","email":"","affiliations":[{"id":35725,"text":"ICF, San Jose, USA","active":true,"usgs":false}],"preferred":false,"id":717563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":70193010,"text":"70193010 - 2017 - Central Arctic Ocean paleoceanography from ∼50 ka to present, on the basis of ostracode faunal assemblages from the SWERUS 2014 expedition ","interactions":[],"lastModifiedDate":"2017-11-12T12:32:21","indexId":"70193010","displayToPublicDate":"2017-11-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Central Arctic Ocean paleoceanography from ∼50 ka to present, on the basis of ostracode faunal assemblages from the SWERUS 2014 expedition ","docAbstract":"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":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":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":70193075,"text":"70193075 - 2017 - Understanding recurrent land use processes and long-term transitions in the dynamic south-central United States, c. 1800 to 2006","interactions":[],"lastModifiedDate":"2022-04-22T15:36:59.367664","indexId":"70193075","displayToPublicDate":"2017-11-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2599,"text":"Land Use Policy","active":true,"publicationSubtype":{"id":10}},"title":"Understanding recurrent land use processes and long-term transitions in the dynamic south-central United States, c. 1800 to 2006","docAbstract":"Forests have historically been under significant land use pressures that cause periods of degradation, clearance, and recovery. To understand these changes, studies are needed that place trends in a historical landscape context and also examine recent dynamics. Here, we use historical investigation (c. 1800) and an examination of land use and land cover change between 1973 and 2006 to establish a baseline trajectory of the forested system of the south-central United States (US) plains. The study culminates in a highly detailed accounting of the processes and causes of land change between 2001 and 2006. In the study region, the forest transitioned from early low-intensity use, to clearance for farming and timber, to widespread recovery from degradation beginning in the 1930s. By 1970, the region was transitioning from recovered woodlands to an intensive regime of recurrent timber harvest and replanting. The recurring cycle inherent in intensive silviculture has been the main cause of land change for the past several decades, accounting for more than 95% of the total extent of change between 2001 and 2006. The transition to forest recovery in the south-central US was an important historical occurrence. However, the dynamic post-transition landscape needs to be better understood.","language":"English","publisher":"Elsevier","doi":"10.1016/j.landusepol.2017.07.061","usgsCitation":"Drummond, M.A., Griffith, G.E., Auch, R.F., Stier, M.P., Taylor, J.L., Hester, D.J., Riegle, J.L., and McBeth, J.L., 2017, Understanding recurrent land use processes and long-term transitions in the dynamic south-central United States, c. 1800 to 2006: Land Use Policy, v. 68, p. 345-354, https://doi.org/10.1016/j.landusepol.2017.07.061.","productDescription":"10 p.","startPage":"345","endPage":"354","ipdsId":"IP-076564","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":438154,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PC3196","text":"USGS data release","linkHelpText":"Data release for the 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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.
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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":"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":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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":70193913,"text":"70193913 - 2017 - Population trends, survival, and sampling methodologies for a population of Rana draytonii","interactions":[],"lastModifiedDate":"2017-11-10T10:55:49","indexId":"70193913","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}},"displayTitle":"Population trends, survival, and sampling methodologies for a population of Rana draytonii","title":"Population trends, survival, and sampling methodologies for a population of Rana draytonii","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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","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":70207059,"text":"70207059 - 2017 - Inland fisheries – Invisible but integral to the UN Sustainable Development Agenda for ending poverty by 2030","interactions":[],"lastModifiedDate":"2019-12-04T15:52:41","indexId":"70207059","displayToPublicDate":"2017-11-09T15:41:54","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1841,"text":"Global Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Inland fisheries – Invisible but integral to the UN Sustainable Development Agenda for ending poverty by 2030","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. D.","contributorId":221028,"corporation":false,"usgs":false,"family":"Bower","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":776673,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brooks, J.L.","contributorId":10759,"corporation":false,"usgs":true,"family":"Brooks","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":776674,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776675,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Claussen, Julie","contributorId":150973,"corporation":false,"usgs":false,"family":"Claussen","given":"Julie","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":776676,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":776677,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kao, Yu-Chun 0000-0001-5552-909X ykao@usgs.gov","orcid":"https://orcid.org/0000-0001-5552-909X","contributorId":192240,"corporation":false,"usgs":true,"family":"Kao","given":"Yu-Chun","email":"ykao@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776678,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lorenzen, Kai","contributorId":169476,"corporation":false,"usgs":false,"family":"Lorenzen","given":"Kai","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":776679,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Myers, Bonnie 0000-0002-3170-2633 bjmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-3170-2633","contributorId":176495,"corporation":false,"usgs":true,"family":"Myers","given":"Bonnie","email":"bjmyers@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776680,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Reid, Andrea J.","contributorId":221029,"corporation":false,"usgs":false,"family":"Reid","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":776681,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Taylor, J. 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":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":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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","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":70193817,"text":"70193817 - 2017 - Windows of susceptibility and consequences of early life exposures to 17β–estradiol on medaka (Oryzias latipes) reproductive success","interactions":[],"lastModifiedDate":"2017-11-10T09:56:53","indexId":"70193817","displayToPublicDate":"2017-11-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Windows of susceptibility and consequences of early life exposures to 17β–estradiol on medaka (Oryzias latipes) reproductive success","docAbstract":"Estrogens and estrogen mimics are commonly found in surface waters and are associated with deleterious effects in fish populations. 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":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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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. 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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
Glucocorticoids (GC) and triiodothyronine (T3) are two endocrine markers commonly used to quantify resource limitation, yet the relationships between these markers and the energetic state of animals has been studied primarily in small-bodied species in captivity. Free-ranging animals, however, adjust energy intake in accordance with their energy reserves, a behavior known as state-dependent foraging. Further, links between life-history strategies and metabolic allometries cause energy intake and energy reserves to be more strongly coupled in small animals relative to large animals. Because GC and T3 may reflect energy intake or energy reserves, state-dependent foraging and body size may cause endocrine–energy relationships to vary among taxa and environments. To extend the utility of endocrine markers to large-bodied, free-ranging animals, we evaluated how state-dependent foraging, energy reserves, and energy intake influenced fecal GC and fecal T3 concentrations in free-ranging moose (Alces alces). Compared with individuals possessing abundant energy reserves, individuals with few energy reserves had higher energy intake and high fecal T3 concentrations, thereby supporting state-dependent foraging. Although fecal GC did not vary strongly with energy reserves, individuals with higher fecal GC tended to have fewer energy reserves and substantially greater energy intake than those with low fecal GC. Consequently, individuals with greater energy intake had both high fecal T3 and high fecal GC concentrations, a pattern inconsistent with previous documentation from captive animal studies. We posit that a positive relationship between GC and T3 may be expected in animals exhibiting state-dependent foraging if GC is associated with increased foraging and energy intake. Thus, we recommend that additional investigations of GC– and T3–energy relationships be conducted in free-ranging animals across a diversity of body size and life-history strategies before these endocrine markers are applied broadly to wildlife conservation and management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1608","usgsCitation":"Jesmer, B.R., Goheen, J.R., Monteith, K.L., and Kauffman, M., 2017, State-dependent behavior alters endocrine–energy relationship: Implications for conservation and management: Ecological Applications, v. 27, no. 8, p. 2303-2312, https://doi.org/10.1002/eap.1608.","productDescription":"10 p.","startPage":"2303","endPage":"2312","ipdsId":"IP-068643","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater YellowstoneEcosystem","volume":"27","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-29","publicationStatus":"PW","scienceBaseUri":"5a0425b2e4b0dc0b45b45310","contributors":{"authors":[{"text":"Jesmer, Brett R.","contributorId":200192,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goheen, Jacob R.","contributorId":200193,"corporation":false,"usgs":false,"family":"Goheen","given":"Jacob","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716653,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193726,"text":"ofr20171144 - 2017 - Acoustic tag detections of green sturgeon in the Columbia River and Coos Bay estuaries, Washington and Oregon, 2010–11","interactions":[],"lastModifiedDate":"2017-11-08T17:33:23","indexId":"ofr20171144","displayToPublicDate":"2017-11-08T00:00:00","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":"2017-1144","title":"Acoustic tag detections of green sturgeon in the Columbia River and Coos Bay estuaries, Washington and Oregon, 2010–11","docAbstract":"The Columbia River, in Washington and Oregon, and Coos Bay, in Oregon, are economically important shipping channels that are inhabited by several fishes protected under the Endangered Species Act (ESA). Maintenance of shipping channels involves dredge operations to maintain sufficient in-channel depths to allow large ships to navigate the waterways safely. Fishes entrained by dredge equipment often die or experience delayed mortality. Other potential negative effects of dredging include increased turbidity, reductions in prey resources, and the release of harmful contaminants from the dredged sediments. One species of concern is the ESA-listed green sturgeon (Acipenser medirostris; Southern Distinct Population Segment). In this study, we used acoustic telemetry to identify habitat use, arrival and departure timing, and the extent of upstream migration of green sturgeon in the Columbia River and Coos Bay to help inform dredge operations to minimize potential take of green sturgeon. Autonomous acoustic receivers were deployed in Coos Bay from the mouth to river kilometer (rkm) 21.6 from October 2009 through October 2010. In the Columbia River Estuary, receivers were deployed between the mouth and rkm 37.8 from April to November in 2010 and 2011. A total of 29 subadult and adult green sturgeon were tagged with temperature and pressure sensor tags and released during the study, primarily in Willapa Bay and Grays Harbor, Washington, and the Klamath River, Oregon. Green sturgeon detected during the study but released by other researchers also were included in the study.
The number of tagged green sturgeon detected in the two estuaries differed markedly. In Coos Bay, only one green sturgeon was detected for about 2 hours near the estuary mouth. In the Columbia River Estuary, 9 green sturgeon were detected in 2010 and 10 fish were detected in 2011. Green sturgeon entered the Columbia River from May through October during both years, with the greatest numbers of fish being present in August and September. One green sturgeon was detected at the uppermost receiver station (rkm 37.8), but overall, the number of fish detected upriver decreased rapidly with distance from the estuary mouth. Residence times of fish that were only detected in the lower 4.8 rkm generally were less than 24 hours, but fish detected farther upriver had a median residence time greater than 10 days. Green sturgeon were widely dispersed among channel and non-channel habitats in the lower estuary in 2010. In 2011, the fish were more concentrated near the estuary mouth. The intensity of use, measured as the total number of fish detections at each station, generally was greatest from Point Ellice (rkm 20.1) to Rice Island (rkm 33.0) in channel and shallow shoal areas, and lowest at the stations west of Point Ellice with the exception of the area near the entrance to the Ilwaco Channel.
Sensor tag data indicated that the deeper South and North Channel habitats (bottom depth ≥10 m) were used, as were the more shallow sandy shoal, shoreline, and bay habitats (bottom depth <10 m). Median fish depths among fish and receiver locations ranged from 2.5 to 28.2 m below water surface (bws) and water temperatures ranged from 9.1 to 22.0 °C during late May through mid-October. In the deeper channel habitat, near the Ilwaco Channel, fish inhabited water with median temperatures ranging from 11.4 to 16.7 °C, whereas east of Point Ellice, predominantly in shallow non-channel habitats, fish inhabited water with median temperatures ranging from about 17.0 to 21.0 °C.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171144","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Hansel, H.C., Romine, J.G., and Perry, R.W., 2017, Acoustic tag detections of green sturgeon in the Columbia River and Coos Bay estuaries, Washington and Oregon, 2010–11: U.S. Geological Survey Open-File Report 2017-1144, 30 p., https://doi.org/10.3133/ofr20171144.","productDescription":"vi, 30 p.","onlineOnly":"Y","ipdsId":"IP-088817","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":348413,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1144/ofr20171144.pdf","text":"Report","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1144"},{"id":348412,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1144/coverthb.jpg"}],"country":"United States","state":"Oregon","city":"Astoria","otherGeospatial":"Coos Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.36283111572264,\n 43.33067209551502\n ],\n [\n -124.12696838378908,\n 43.33067209551502\n ],\n [\n -124.12696838378908,\n 43.476591264232674\n ],\n [\n -124.36283111572264,\n 43.476591264232674\n ],\n [\n -124.36283111572264,\n 43.33067209551502\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.09263610839842,\n 46.14416148780093\n ],\n [\n -123.61129760742186,\n 46.14416148780093\n ],\n [\n -123.61129760742186,\n 46.32559414426375\n ],\n [\n -124.09263610839842,\n 46.32559414426375\n ],\n [\n -124.09263610839842,\n 46.14416148780093\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115