This publication consists of three map sheets that display shallow geologic structure, along with sediment distribution and thickness, for an about 225-km-long offshore section of the central California coast between Point Sur and Point Arguello. Each map sheet includes three maps, at scales of either 1:150,000 or 1:200,000, as well as a set of figures that contain representative high-resolution seismic-reflection profiles. The maps and seismic-reflection surveys cover most of the continental shelf in this region. In addition, the maps show the locations of the shelf break and the 3-nautical-mile limit of California’s State Waters.
The seismic-reflection data, which are the primary dataset used to develop the maps, were collected to support the California Seafloor Mapping Program and U.S. Geological Survey Offshore Geologic Hazards projects. In addition to the three map sheets, this publication includes geographic information system data files of interpreted faults, folds, sediment thicknesses, and depths-to-base of sediment. The faults and folds shown on the maps have been locally simplified as appropriate for the map scales.
The right-lateral San Gregorio–Hosgri Fault (SGHF) is the most significant structure in the map area. On a regional scale, the SGHF is part of a 400-km-long, right-lateral fault system that extends northwestward from Point Arguello to the area offshore of San Francisco, where it merges with the San Andreas Fault. From north to south in this part of central California, the SGHF lies offshore between the south flank of Point Sur and the north flank of Point Piedras Blancas, then comes onshore at Point Piedras Blancas, before heading offshore again between the south flank of Point Piedras Blancas and Point Arguello. Cumulative fault offset along the SGHF is as much as 150 to 160 km, decreasing to the south by transferring slip on to northwest-striking faults that converge with the SGHF both onland and offshore from the east. In the map area, the offshore-converging faults include the Los Osos Fault, the Shoreline–Point Buchon Fault, the Casmalia Fault, and the Lions Head Fault.
Quaternary sediments and bedrock underlie the shelf. On the seismic-reflection profiles, we divide Quaternary shelf sediments into two units. Characterizing the younger, upper unit is a focus of this publication. This unit is inferred to have been deposited on the shelf in the last about 21,000 years during the sea-level rise that followed the last major lowstand and the Last Glacial Maximum (LGM). This upper unit overlies a transgressive surface of erosion, a commonly angular, wave-cut unconformity, and is generally characterized by low-amplitude, continuous to moderately continuous, diffuse, subparallel, generally flat reflections. Maps in this publication show both the thickness of this upper sediment unit and the depth to the base of the sediment unit. Within the map region, 11 different “domains” of post-LGM shelf sediment are delineated on the basis of sediment thickness and coastal geomorphology. Maximum sediment thickness is in the southern part of the region, offshore of the mouths of the Santa Ynez and Santa Maria Rivers. Minimum sediment thickness is found offshore of prominent rocky points, including Point Buchon and Piedras Blancas. Mean sediment thickness for the entire shelf in the map area between Point Sur and Point Arguello is 12.2 m, and total sediment volume is 24.7 million cubic meters.
Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
American Shad Alosa sapidissima have historically supported an important fishery along the Atlantic coastal waters of North America. However, the construction of dams reduced populations and restricted landings. Fishways are intended to mitigate obstacles to anadromous fish migrations, but a thorough evaluation of their efficiency is warranted. We analyzed data collected from video recordings, hydropower turbine operations, and telemetry conducted by the Maine Department of Marine Resources to evaluate American Shad behavior while approaching and using a vertical slot fishway at the head-of-tide Brunswick Dam on the Androscoggin River in Maine. American Shad passage at the dam has been poor, ranging from 0 to 1,100 fish per year, relative to passage at other facilities in the region. Additionally, our observations indicate that there are relatively high numbers of American Shad present downstream in the river (averaging 50,000) compared with the entrance of the fishway or its pools (<8,000). On average, the rates of observed American Shad on the side of the river near the fishway entrance were significantly higher (6.5–8.6 individuals/min) when the turbine closest to the entrance of the fishway was not operating compared with when it was operating (4.1 individuals/min). Most of the radio-tagged American Shad remained in the river below the dam or went undetected. Eleven of 57 tagged fish were detected at the fishway entrance and of those only five were detected in the lower fishway. Individuals that were detected were observed making multiple attempts at entering the fishway, but movements were restricted to the lower pools. Our results suggest that this fishway is not conducive to the passage of American Shad. Examining the relationship between hydropower operations and other environmental variables on the behavior and passage of migrating anadromous fish remain an area for further study.
Empirical evidence has shown increased variability in harvest and recruitment of exploited fish populations, which can result directly from exploitation or indirectly from interactions between external drivers and the internal dynamics of age-structured populations. We investigated whether predation in a freshwater system could affect a prey fish population, in the same way fishing affects targeted populations. Using fishery-independent trawl survey data and a suite of quantitative indicators, we evaluated changes in the alewife population in Lake Michigan. Our results provide evidence for a reduction in the mean spawner age, a reduction in the diversity of age classes and the distribution of biomass across them, and increased variability in the proportion of first time spawners in the spawning stock. We used wavelet analysis and estimates of lifetime egg production to demonstrate how the alewife population displays behaviors of instability as the overall biomass declines. Our results provide evidence that predation pressure can influence prey fish populations in a similar manner to fishing on harvested populations, and that conservation of a broad reproducing age structure is likely to be important for buffering against adverse environmental fluctuations and for sustainable management of fish populations.
Populations that exhibit partial migration include migrants and non-migrants. For benthic-pelagic organisms that exhibit partial diel vertical migration (PDVM), migrants and non-migrants spend different amounts of time in benthic and pelagic foraging arenas over a diel cycle. For example, mysids exhibit PDVM and can feed on benthic and pelagic resources. Migratory individuals are assumed to undergo vertical migration at night to access pelagic food when predation risk is low. However, feeding behavior of non-migrant benthic individuals is not well understood. One hypothesis to explain individual variability in diel vertical migration (DVM) behavior is the hunger-satiation state of individuals (hunger-satiation (HS) hypothesis), which predicts that migration is driven by hunger and non-migration is a response to satiation. We assessed diel feeding patterns of benthic- and pelagic-caught Mysis in Lake Champlain to evaluate if PDVM was consistent with predictions of the HS hypothesis. Stomach fullness and diet composition revealed little diel difference in stomach contents between time of day or between benthic and pelagic individuals at night. Pelagic individuals had consistently higher stomach fullness shortly after sunset compared to near midnight. Non-migrant benthic individuals at night and benthic-caught individuals during the day had similar amounts of detritus in stomachs. High stomach fullness and levels of zooplankton in benthic-caught stomachs indicate Mysis actively feed when benthic, regardless of time of day. Our results suggest variation in Mysis migration behavior is not likely due to hunger-satiation, and highlights the importance of variable behavior in determining Mysis effects on food web interactions in deep lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2019.e00117","usgsCitation":"O’Malley, B., and Stockwell, J.D., 2019, Diel feeding behavior in a partially migrant Mysis population: A benthic-pelagic comparison: Food Webs, v. 20, e00117, 14 p., https://doi.org/10.1016/j.fooweb.2019.e00117.","productDescription":"e00117, 14 p.","ipdsId":"IP-101828","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365571,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.46282958984375,\n 44.83249999349062\n ],\n [\n -73.46282958984375,\n 44.8344477567128\n ],\n [\n -73.46282958984375,\n 44.8344477567128\n ],\n [\n -73.46282958984375,\n 44.83249999349062\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.45184326171875,\n 44.22158376545796\n ],\n [\n -73.114013671875,\n 44.22158376545796\n ],\n [\n -73.114013671875,\n 44.968684437948376\n ],\n [\n -73.45184326171875,\n 44.968684437948376\n ],\n [\n -73.45184326171875,\n 44.22158376545796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":766114,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215332,"text":"70215332 - 2019 - Cohesive framework for modeling plant cover class data","interactions":[],"lastModifiedDate":"2020-10-16T13:48:06.231673","indexId":"70215332","displayToPublicDate":"2019-07-13T08:45:20","publicationYear":"2019","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":"Cohesive framework for modeling plant cover class data","docAbstract":"Pelagic-oriented alewife (Alosa pseudoharengus) and benthic-oriented round goby (Neogobius melanostomus) are two important prey fishes in the Laurentian Great Lakes. In 2015, we evaluated their seasonal total energy (TE) across nine Lake Michigan transects. Round goby contained at least 48% more kilojoules of TE than alewife of equal length during spring and summer. TE varied spatially for both species, but only large alewife exhibited a consistent pattern, with higher values along the eastern shoreline. Variation in TE was not explained by site-specific prey densities for either species. Round goby energy density (ED) was higher in Lake Michigan than in central Lake Erie, but comparable to other regions of the Great Lakes. Alewife ED in 2015 was similar to that in 2002–2004 in Lake Michigan, with the exception of November (small alewife ED was 21% higher) and April (large alewife ED was 30% lower). Despite oligotrophication, our study suggests that starvation of juvenile and adults has not been directly contributing to overall declining prey fish abundance, although future research should evaluate the potential for overwinter starvation.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0391","usgsCitation":"Bunnell, D., Pothoven, S.A., Dieter, P., Eaton, L.A., Warner, D., Elgin, A.K., Burlakova, L., and Karatayev, A.Y., 2019, Spatiotemporal variability in energetic condition of alewife and round goby in Lake Michigan: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 44, p. 1982-1992, https://doi.org/10.1139/cjfas-2018-0391.","productDescription":"11 p.","startPage":"1982","endPage":"1992","ipdsId":"IP-101061","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467459,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0391","text":"External Repository"},{"id":365810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake 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A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":766607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":217346,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elgin, Ashley K.","contributorId":216170,"corporation":false,"usgs":false,"family":"Elgin","given":"Ashley","email":"","middleInitial":"K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burlakova, Lyuba E.","contributorId":217347,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyuba E.","affiliations":[{"id":35093,"text":"Buffalo State University","active":true,"usgs":false}],"preferred":false,"id":766610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karatayev, Alexander Y.","contributorId":150923,"corporation":false,"usgs":false,"family":"Karatayev","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":18141,"text":"SUNY Buffalo State","active":true,"usgs":false}],"preferred":false,"id":766611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205024,"text":"70205024 - 2019 - Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","interactions":[],"lastModifiedDate":"2019-10-09T09:54:57","indexId":"70205024","displayToPublicDate":"2019-07-12T12:58:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","docAbstract":"Exhumation and landscape evolution along strike‐slip fault systems reflect tectonic processes that accommodate and partition deformation in orogenic settings. We present 17 new apatite (U‐Th)/He (He), zircon He, apatite fission‐track (FT), and zircon FT dates from the eastern Denali fault zone (EDFZ) that bounds the Kluane Ranges in Yukon, Canada. The dates elucidate patterns of deformation along the EDFZ. Mean apatite He, apatite FT, zircon He, and zircon FT sample dates range within ~26–4, ~110–12, ~94–28, and ~137–83 Ma, respectively. A new zircon U‐Pb date of 113.9 ± 1.7 Ma (2σ) complements existing geochronology and aids in interpretation of low‐temperature thermochronometry data patterns. Samples ≤2 km southwest of the EDFZ trace yield the youngest thermochronometry dates. Multimethod thermochronometry, zircon He date‐effective U patterns, and thermal history modeling reveal rapid cooling ~95–75 Ma, slow cooling ~75–30 Ma, and renewed rapid cooling ~30 Ma to present. The magnitude of net surface uplift constrained by published paleobotanical data, exhumation, and total surface uplift from ~30 Ma to present are ~1, ~2–6, and ~1–7 km, respectively. Exhumation is highest closest to the EDFZ trace but substantially lower than reported for the central Denali fault zone. We infer exhumation and elevation changes associated with ~95–75 Ma terrane accretion and EDFZ activity, relief degradation from ~75–30 Ma, and ~30 Ma to present exhumation and surface uplift as a response to flat‐slab subduction and transpressional deformation. Integrated results reveal new constraints on landscape evolution within the Kluane Ranges directly tied to the EDFZ during the last ~100 Myr.
","language":"English","publisher":"Wiley","doi":"10.1029/2019TC005545","usgsCitation":"McDermott, R.G., Ault, A.K., Caine, J.S., and Thomson, S.N., 2019, Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada: Tectonics, v. 38, no. 8, p. 2983-3010, https://doi.org/10.1029/2019TC005545.","productDescription":"28 p.","startPage":"2983","endPage":"3010","ipdsId":"IP-105959","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019tc005545","text":"Publisher Index Page"},{"id":367017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Denali Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.390625,\n 58.56252272853734\n ],\n [\n -135.17578125,\n 58.56252272853734\n ],\n [\n -135.17578125,\n 64.28275952823394\n ],\n [\n -155.390625,\n 64.28275952823394\n ],\n [\n -155.390625,\n 58.56252272853734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McDermott, Robert G. 0000-0002-2550-0322","orcid":"https://orcid.org/0000-0002-2550-0322","contributorId":218595,"corporation":false,"usgs":false,"family":"McDermott","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Alexis K. 0000-0001-6361-3179","orcid":"https://orcid.org/0000-0001-6361-3179","contributorId":218596,"corporation":false,"usgs":false,"family":"Ault","given":"Alexis","email":"","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":769610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomson, Stuart N. 0000-0003-4331-5654","orcid":"https://orcid.org/0000-0003-4331-5654","contributorId":218597,"corporation":false,"usgs":false,"family":"Thomson","given":"Stuart","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":769613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223763,"text":"70223763 - 2019 - Fish assemblages in a Mississippi reservoir mudflat with low structural complexity","interactions":[],"lastModifiedDate":"2021-09-07T15:03:20.140177","indexId":"70223763","displayToPublicDate":"2019-07-12T09:58:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblages in a Mississippi reservoir mudflat with low structural complexity","docAbstract":"In shallow reservoirs, seasonal water drawdowns expose littoral areas and over time produce barren mudflats. When flooded, mudflats provide homogeneous substrates, turbid water, and eroding shorelines of limited ecological value. We hypothesized that in mudflats structurally complex habitats are occupied by more fish, smaller fish of a larger range in sizes, more species, and fish assemblages that are different from those in simpler habitats. We tested these hypotheses over two consecutive years with fish collections made in sites with varying structural complexity. Results indicated that structural complexity harbors more fish in transects and enclosures. Structural complexity did not influence median length, but length range increased with structural complexity. Average species richness increased with structural complexity. Fish assemblage composition changed as structural complexity increased. The ability of cover to provide survival, growth, and carrying capacity benefits is fundamental to programs aimed at increasing structural complexity. Results suggest observed effects on fish assemblages can lead to such benefits. Considering mudflats are a major component of reservoirs, expand as reservoirs age, and there is a potential to exert meaningful change on fish assemblages of impounded rivers by managing mudflats, we suggest additional attention is needed to develop practical habitat restoration options.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-04019-w","usgsCitation":"Hatcher, H., Miranda, L.E., Colvin, M., Coppola, G., and Lashley, M., 2019, Fish assemblages in a Mississippi reservoir mudflat with low structural complexity: Hydrobiologia, v. 841, p. 163-175, https://doi.org/10.1007/s10750-019-04019-w.","productDescription":"13 p.","startPage":"163","endPage":"175","ipdsId":"IP-105174","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Enid Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.91931915283202,\n 34.10611931869012\n ],\n [\n -89.6920394897461,\n 34.10611931869012\n ],\n [\n -89.6920394897461,\n 34.21577688548365\n ],\n [\n -89.91931915283202,\n 34.21577688548365\n ],\n [\n -89.91931915283202,\n 34.10611931869012\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"841","noUsgsAuthors":false,"publicationDate":"2019-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatcher, H. R.","contributorId":265333,"corporation":false,"usgs":false,"family":"Hatcher","given":"H. R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":265334,"corporation":false,"usgs":false,"family":"Colvin","given":"M. E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coppola, G.","contributorId":265335,"corporation":false,"usgs":false,"family":"Coppola","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, M. A.","contributorId":265336,"corporation":false,"usgs":false,"family":"Lashley","given":"M. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822572,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204787,"text":"70204787 - 2019 - Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","interactions":[],"lastModifiedDate":"2019-10-09T09:42:38","indexId":"70204787","displayToPublicDate":"2019-07-12T07:01:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","docAbstract":"Physiological responses to temperature extremes are considered strong drivers of species’ demographic responses to climate variability. Plants are typically classified as either avoiders or tolerators in their freezing‐resistance mechanism, but a gradient of physiological‐threshold freezing responses may exist among individuals of a species. Moreover, adaptive significance of physiological freezing responses is poorly characterized, particularly under warming conditions that relax selection on cold hardiness.
Freezing responses were measured in winter and again for new foliage in spring for 14 populations of Artemisia tridentata collected throughout its range and planted in a warm common garden. The relationships of the freezing responses to survival were evaluated in the warm garden and in two colder gardens.
Winter and spring freezing resistance were not correlated and appeared to be under differing selection regimes, as evident in correlations with different population climate of origin variables. All populations resisted considerably lower temperatures in winter than in spring, with populations from more continental climates showing narrower freezing safety margins (difference in temperatures at which ice‐nucleation occurs and 50% reduction in chlorophyll fluorescence occurs) in spring. Populations with greater winter freezing resistance had lower survivorship in the warmest garden, while populations with greater spring freezing resistance had lower survivorship in a colder garden.
These survivorship patterns relative to physiological thresholds suggest excess freezing resistance may incur a survival cost that likely relates to a trade‐off between carbon gain and freezing resistance during critical periods of moisture availability. This cost has implications for seed moved from cooler to warmer environments and for plants growing in warming environments.
Ion‐microprobe 206Pb/238U geochronology and trace element geochemistry of the unpolished rims and sectioned interiors of zircons from Yellowstone caldera's oldest post‐caldera lavas provide insight into the magmatic system during the prelude and aftermath of the caldera‐forming Lava Creek supereruption. The post‐caldera lavas compose the Upper Basin Member of the Plateau Rhyolite and fall into two groups based on zircon crystallization age: early lavas with zircon ages between ~750 and 550 ka and late lavas with zircon ages between ~350 and 250 ka. Zircons from the early‐erupted East Biscuit Basin flow yield U‐Pb dates and trace element compositions, which when considered with the Pb isotopic compositions of their coexisting feldspars and pyroxenes, point to an isotopically distinct parental melt present during crystallization of the Lava Creek magma but untapped by the supereruption. Distinct zircon crystallization ages and Pb‐isotope compositions of major minerals between the early and late Upper Basin Member groups suggest contrasting sources in the magma reservoir. As proxies for melt evolution, the zircons indicate that Yellowstone's post‐caldera rhyolites became more evolved between mid‐ to late‐Pleistocene time, during the same interval that melting of hydrothermally altered wall rock and recharge by new silicic magmas changed in their relative roles. The results from this study indicate that discrete and ephemeral bodies of silicic magma, at times within a mush dominated reservoir and including during the prelude to the Lava Creek eruption, have characterized Yellowstone's subvolcanic reservoir.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008321","usgsCitation":"Till, C.B., Vazquez, J.A., Stelten, M.E., Shamloo, H.I., and Shaffer, J.S., 2019, Coexisting discrete bodies of rhyolite and punctuated volcanism characterize Yellowstone's post‐Lava Creek Tuff caldera evolution: Geochemistry, Geophysics, Geosystems, v. 20, no. 8, p. 3861-3881, https://doi.org/10.1029/2019GC008321.","productDescription":"21 p.","startPage":"3861","endPage":"3881","ipdsId":"IP-106517","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008321","text":"Publisher Index Page"},{"id":367384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.95367431640624,\n 44.42789587633427\n ],\n [\n -110.27526855468749,\n 44.42789587633427\n ],\n [\n -110.27526855468749,\n 44.735027899515465\n ],\n [\n -110.95367431640624,\n 44.735027899515465\n ],\n [\n -110.95367431640624,\n 44.42789587633427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Till, Christy B","contributorId":218941,"corporation":false,"usgs":false,"family":"Till","given":"Christy","email":"","middleInitial":"B","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":770738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":770740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shamloo, Hannah I","contributorId":218943,"corporation":false,"usgs":false,"family":"Shamloo","given":"Hannah","email":"","middleInitial":"I","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaffer, Jamie S","contributorId":218944,"corporation":false,"usgs":false,"family":"Shaffer","given":"Jamie","email":"","middleInitial":"S","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770742,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204745,"text":"70204745 - 2019 - Effects of infiltration characteristics on the spatial-temporal evolution of stability of an interstate highway embankment","interactions":[],"lastModifiedDate":"2019-08-15T10:10:23","indexId":"70204745","displayToPublicDate":"2019-07-11T09:52:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effects of infiltration characteristics on the spatial-temporal evolution of stability of an interstate highway embankment","docAbstract":"Infiltration-induced landslides are among the most common natural disasters threatening modern civilization, but conventional methods for studying the triggering mechanisms and predicting the occurrence of these slides are limited by incomplete consideration of underlying physical processes and the lack of precision inherent in limit-equilibrium analyses. To address this problem the spatial-temporal evolution of failure is investigated in a seasonally unstable section of interstate highway embankment, known as the Straight Creek landslide, Colorado. The study includes multi-year site investigation, monitoring, and numerical simulation using a rigorous hydromechanical framework along with a field of local factor of safety method. The sensitivity of episodic landslide reactivation to infiltration characteristics is evaluated. Results indicate that annual cumulative snowmelt infiltration, which typically accounts for approximately 75% of total annual cumulative infiltration and occurs over a short period in the spring, has the most substantial impact on slide activation. The rate of snowmelt infiltration varies independently of annual cumulative snowmelt infiltration and cumulative infiltration in the previous year, but still affects antecedent soil moisture conditions at the onset of snowmelt infiltration and therefore also the level of slide activation. These findings are used to establish specific thresholds for exacerbated slide movement using annual snowpack accumulation, forecasted snowmelt rate, and the previous year’s snowmelt, an approach which may be applied for predicting movement at this and other recurring or potential slide sites.","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)GT.1943-5606.0002127","usgsCitation":"Hinds, E., Lu, N., Mirus, B.B., and Wayllace, A., 2019, Effects of infiltration characteristics on the spatial-temporal evolution of stability of an interstate highway embankment: Journal of Geotechnical and Geoenvironmental Engineering, v. 145, no. 9, 05019008, 11 p., https://doi.org/10.1061/(ASCE)GT.1943-5606.0002127.","productDescription":"05019008, 11 p.","ipdsId":"IP-102759","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":366560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Summit County","otherGeospatial":"Straight Creek Landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.9666667,\n 39.67916667\n ],\n [\n -105.9666667,\n 39.67083333\n ],\n [\n -105.95833333,\n 39.67083333\n ],\n [\n -105.95833333,\n 39.67916667\n ],\n [\n -105.9666667,\n 39.67916667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hinds, Eric","contributorId":218084,"corporation":false,"usgs":false,"family":"Hinds","given":"Eric","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":768280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":768281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":768282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":768283,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228071,"text":"70228071 - 2019 - The dream and the reality: Meeting decision-making time frames while incorporating ecosystem and economic models into management strategy evaluation","interactions":[],"lastModifiedDate":"2022-02-03T15:08:46.766493","indexId":"70228071","displayToPublicDate":"2019-07-11T08:58:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The dream and the reality: Meeting decision-making time frames while incorporating ecosystem and economic models into management strategy evaluation","docAbstract":"Atlantic herring (Clupea harengus) in the Northwest Atlantic have been managed with interim harvest control rules (HCRs). A stakeholder-driven management strategy evaluation (MSE) was conducted that incorporated a broad range of objectives. The MSE process was completed within 1 year. Constant catch, conditional constant catch, and a biomass-based (BB) HCR with a 15% restriction on the interannual change in the quota could achieve more stable yields than BB HCRs without such restrictions, but could not attain as high of yields and resulted in more negative outcomes for terns (Sterna hirundo; a predator of herring). A similar range of performance could be achieved by applying a BB HCR annually every 3 years or every 5 years. Predators (i.e., dogfish (Squalus acanthias), bluefin tuna (Thunnus thynnus), and terns) were generally insensitive to the range of HCRs. While median net revenues were sensitive to some HCRs, time series analysis suggests that most HCRs produced a stable equilibrium of net revenue. To meet management needs, some aspects of the simulations were less than might be considered scientifically ideal, but using “models of intermediate complexity” were informative for managers and formed a foundation for future improvements.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0128","usgsCitation":"Deroba, J., Gaichas, S., Lee, M., Feeney, R.G., Boelke, D., and Irwin, B.J., 2019, The dream and the reality: Meeting decision-making time frames while incorporating ecosystem and economic models into management strategy evaluation: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 7, https://doi.org/10.1139/cjfas-2018-0128.","ipdsId":"IP-097206","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":460337,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/52990","text":"External Repository"},{"id":395348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northwest Atlantic","volume":"76","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Deroba, J.J.","contributorId":274471,"corporation":false,"usgs":false,"family":"Deroba","given":"J.J.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":833011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaichas, S.K.","contributorId":274472,"corporation":false,"usgs":false,"family":"Gaichas","given":"S.K.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":833012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Min-Yang","contributorId":274376,"corporation":false,"usgs":false,"family":"Lee","given":"Min-Yang","email":"","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":833063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feeney, Rachael G.","contributorId":274373,"corporation":false,"usgs":false,"family":"Feeney","given":"Rachael","email":"","middleInitial":"G.","affiliations":[{"id":40788,"text":"New England Fishery Management Council","active":true,"usgs":false}],"preferred":false,"id":833064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boelke, D.","contributorId":274473,"corporation":false,"usgs":false,"family":"Boelke","given":"D.","affiliations":[{"id":56621,"text":"New England Fisheries Management Council","active":true,"usgs":false}],"preferred":false,"id":833015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203516,"text":"ofr20191060 - 2019 - Water-quality, bed-sediment, and biological data (October 2016 through September 2017) and statistical summaries of data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2019-07-12T08:24:31","indexId":"ofr20191060","displayToPublicDate":"2019-07-11T08:14:55","publicationYear":"2019","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":"2019-1060","displayTitle":"Water-Quality, Bed-Sediment, and Biological Data (October 2016 through September 2017) and Statistical Summaries of Data for Streams in the Clark Fork Basin, Montana","title":"Water-quality, bed-sediment, and biological data (October 2016 through September 2017) and statistical summaries of data for streams in the Clark Fork Basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in selected streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and emphasize trace elements associated with historic mining and smelting activities. Sampling sites were on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2016 through September 2017. Bed-sediment and biota samples were collected once at 13 sites during August 2017.
This report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2016 through September 2017. Water-quality data include concentrations of selected major ions, dissolved organic carbon, turbidity, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Seasonal daily values of turbidity were determined at four sites. Bed-sediment data include trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the Clark Fork Basin are provided for the period of record.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191060","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Cleasby, T.E., Hornberger, M.I., Heinert, T.L., and Turner, M.A., 2019, Water-quality, bed-sediment, and biological data (October 2016 through September 2017) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2019–1060, 110 p., https://doi.org/10.3133/ofr20191060.","productDescription":"Report: v, 110 p.; Data Release","numberOfPages":"120","onlineOnly":"Y","ipdsId":"IP-102556","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":365345,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YX9400","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and biological data (October 2016 through September 2017) and statistical summaries of data for streams in the Clark Fork Basin, Montana"},{"id":365352,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1060/ofr20191060_v6.pdf","text":"Report","size":"2.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1060"},{"id":365343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1060/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.169921875,\n 46.6795944656402\n ],\n [\n -114.19189453125,\n 46.37725420510028\n ],\n [\n -113.22509765625,\n 46.263442671779885\n ],\n [\n -113.170166015625,\n 45.66780526567164\n ],\n [\n -112.269287109375,\n 45.62172169252446\n ],\n [\n -112.137451171875,\n 46.38483322349276\n ],\n [\n -112.576904296875,\n 47.21956811231547\n ],\n [\n -114.27978515625,\n 47.264320080254805\n ],\n [\n -114.169921875,\n 46.6795944656402\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
With the growth and expansion of human development, large mammals will increasingly encounter humans, elevating the likelihood of human-wildlife conflicts. Understanding the behavior and movement of large mammals, particularly around human development, is important for crafting effective conservation and management plans for these species.
We used GPS collar data from American black bears (Ursus americanus) to determine how seasonal food resources and human development affected bear movement patterns and resource use across the Commonwealth of Massachusetts.
We found that though bears moved more and avoided human development during crepuscular and daylight hours than at night, bears preferentially moved through human dominated areas at night. This indicates bears were mitigating the risk of human development by altering their behavior to exploit these areas when human activity is low. This behavioral shift was most prominent in the spring, when natural foods are scarce, and fall, when energetic demands are high. We also observed a high degree of inter-individual variability among our sample of bears. Bears with a higher density of houses in their home ranges (~ 75 houses/km2) displayed less avoidance of human development than more rural bears. Furthermore, bear movement models had different explanatory variables, with preference or avoidance of a variable being dependent on the individual bear. To account for this individuality in our predictive surfaces, we projected the probability of movement for each season and time of day using a spatially weighted surface centered on each bear’s home range.
We found that black bears in Massachusetts are operating in a landscape of fear and are altering their movement patterns to use developed areas when human activity is low. We also found seasonal and diel differences among individual bears in resource selection during movement. Accounting for these individual, seasonal, and diel differences when assessing movement for large mammals is especially important if predictive surfaces are to be used in identifying areas for conservation and management.
","language":"English","publisher":"Springer","doi":"10.1186/s40462-019-0166-4","usgsCitation":"Zeller, K., Wattles, D., Conlee, L., and DeStefano, S., 2019, Black bears alter movements in response to anthropogenic features with time of day and season: Movement Ecology, v. 7, 19, 14 p., https://doi.org/10.1186/s40462-019-0166-4.","productDescription":"19, 14 p.","ipdsId":"IP-105931","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-019-0166-4","text":"Publisher Index Page"},{"id":390520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Zeller, Katherine A.","contributorId":267698,"corporation":false,"usgs":false,"family":"Zeller","given":"Katherine A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":825158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wattles, David","contributorId":255402,"corporation":false,"usgs":false,"family":"Wattles","given":"David","affiliations":[{"id":51525,"text":"Massachusetts Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":825201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlee, Laura","contributorId":267742,"corporation":false,"usgs":false,"family":"Conlee","given":"Laura","email":"","affiliations":[],"preferred":false,"id":825202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":2874,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":825157,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204226,"text":"70204226 - 2019 - Heat flow in the Western Arctic Ocean (Amerasian Basin)","interactions":[],"lastModifiedDate":"2019-10-09T09:28:09","indexId":"70204226","displayToPublicDate":"2019-07-10T15:19:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Heat flow in the Western Arctic Ocean (Amerasian Basin)","docAbstract":"From 1963 to 1973 the U.S. Geological Survey (USGS) measured heat flow at 356 sites in the Amerasian Basin (Western Arctic Ocean) from a drifting ice island (T-3). The resulting measurements, which are unevenly distributed on Alpha-Mendeleev Ridge (AMR) and in Canada and Nautilus basins, greatly expand available heat flow data for the Arctic Ocean. Average T-3 heat flow is ~54.7 ± 11.3 mW m-2, and Nautilus Basin, including Mendeleev Plain, is the only well-surveyed area (~13% of data) with significantly higher average heat flow (63.8 mW m-2). Heat flow and bathymetry are not correlated at a large scale, and turbiditic surficial sediments (Canada and Nautilus basins) have higher heat flow than the sediments that blanket the AMR. Thermal gradients are mostly near-linear, implying that conductive heat transport dominates and that near-seafloor sediments are in thermal equilibrium with overlying bottom waters. Combining the heat flow data with modern seismic imagery suggests that some of the observed heat flow variability may be explained by local changes in sediment thickness or lithology or the presence of basement faults that channel circulating seawater. A thermal model that incorporates thermal conductivity variations along a profile from Canada Basin (thick sediment on mostly oceanic crust) to Alpha Ridge (thin sediment over thick magmatic units associated with the High Arctic Large Igneous Province) predicts heat flow lower than that observed on Alpha Ridge. This, along with other observations, implies that circulating fluids modulate conductive heat flow and contribute to high variability in the T-3 dataset. .","language":"English","publisher":"AGU","doi":"10.1029/2019JB017587","usgsCitation":"Ruppel, C.D., Lachenbruch, A., Hutchinson, D., Munroe, R., and Mosher, D., 2019, Heat flow in the Western Arctic Ocean (Amerasian Basin): Journal of Geophysical Research B: Solid Earth, v. 124, no. 8, p. 7562-7587, https://doi.org/10.1029/2019JB017587.","productDescription":"26 p.","startPage":"7562","endPage":"7587","ipdsId":"IP-104584","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467466,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb017587","text":"External Repository"},{"id":437392,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91XQ3IS","text":"USGS data release","linkHelpText":"Post-expedition report for USGS T-3 Ice Island heat flow measurements in the High Arctic Ocean, 1963-1973"},{"id":437391,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97EPU2F","text":"USGS data release","linkHelpText":"Thermal Data and Navigation for T-3 (Fletcher's) Ice Island Arctic Ocean Heat Flow Studies, 1963-73 (ver. 1.1 December 2022)"},{"id":365525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lachenbruch, A.H.","contributorId":216905,"corporation":false,"usgs":false,"family":"Lachenbruch","given":"A.H.","email":"","affiliations":[{"id":39546,"text":"(retired) U.S.Geological Survey","active":true,"usgs":false}],"preferred":false,"id":766066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munroe, Robert","contributorId":216907,"corporation":false,"usgs":false,"family":"Munroe","given":"Robert","affiliations":[{"id":39548,"text":"(retired) U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":766068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mosher, David","contributorId":174895,"corporation":false,"usgs":false,"family":"Mosher","given":"David","affiliations":[],"preferred":false,"id":766069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204329,"text":"70204329 - 2019 - A phylogenomic supertree of birds","interactions":[],"lastModifiedDate":"2019-07-17T14:39:38","indexId":"70204329","displayToPublicDate":"2019-07-10T14:33:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"A phylogenomic supertree of birds","docAbstract":"It has long been appreciated that analyses of genomic data (e.g., whole genome sequencing or sequence capture) have the potential to reveal the tree of life, but it remains challenging to move from sequence data to a clear understanding of evolutionary history, in part due to the computational challenges of phylogenetic estimation using genome-scale data. Supertree methods solve that challenge because they facilitate a divide-and-conquer approach for large-scale phylogeny inference by integrating smaller subtrees in a computationally-efficient manner. Here, we combined information from sequence capture and whole-genome phylogenies using supertree methods. However, available phylogenomic trees had limited overlap so we used taxon-rich (but not phylogenomic) megaphylogenies to weave them together. This allowed us to construct a phylogenomic supertree, with support values, that included 707 bird species (~7% of avian species diversity). We estimated branch lengths using mitochondrial sequence data and we used this to estimate divergence times. Our time-calibrated supertree supports radiation of all three major avian clades (Palaeognathae, Galloanseres, and Neoaves) near the Cretaceous-Paleogene (K-Pg) boundary. The approach we used will permit the continued addition of taxa to this supertree as new phylogenomic data are published, and it could be applied to other taxa as well.","language":"English","publisher":"MDPI","doi":"10.3390/d11070109","usgsCitation":"Kimball, R., Oliveros, C.H., Wang, N., White, N.D., Barker, F.K., Field, D.J., Ksepka, D.T., Chesser, T., Moyle, R.G., Braun, M., Brumfield, R., Faircloth, B.C., Tilston-Smith, B., and Braun, E.L., 2019, A phylogenomic supertree of birds: Diversity, v. 11, no. 7, https://doi.org/10.3390/d11070109.","productDescription":"109, 35 p.","startPage":"35","ipdsId":"IP-109725","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d11070109","text":"Publisher Index Page"},{"id":365683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimball, Rebecca T","contributorId":217200,"corporation":false,"usgs":false,"family":"Kimball","given":"Rebecca T","affiliations":[{"id":38084,"text":"Univ. of Florida","active":true,"usgs":false}],"preferred":false,"id":766342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oliveros, Carl H","contributorId":215463,"corporation":false,"usgs":false,"family":"Oliveros","given":"Carl","email":"","middleInitial":"H","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":766343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ning","contributorId":217201,"corporation":false,"usgs":false,"family":"Wang","given":"Ning","affiliations":[{"id":25267,"text":"Univ. of Michigan","active":true,"usgs":false}],"preferred":false,"id":766344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Noor D","contributorId":217202,"corporation":false,"usgs":false,"family":"White","given":"Noor","email":"","middleInitial":"D","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":766345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barker, F. Keith","contributorId":217203,"corporation":false,"usgs":false,"family":"Barker","given":"F.","email":"","middleInitial":"Keith","affiliations":[{"id":27811,"text":"Univ. of Minnesota","active":true,"usgs":false}],"preferred":false,"id":766346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Field, Daniel J","contributorId":215464,"corporation":false,"usgs":false,"family":"Field","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":39255,"text":"Univ. of Bath","active":true,"usgs":false}],"preferred":false,"id":766347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ksepka, Daniel T","contributorId":215465,"corporation":false,"usgs":false,"family":"Ksepka","given":"Daniel","email":"","middleInitial":"T","affiliations":[{"id":39256,"text":"Bruce Museum","active":true,"usgs":false}],"preferred":false,"id":766348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chesser, Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":177781,"corporation":false,"usgs":true,"family":"Chesser","given":"Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766341,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moyle, Robert G","contributorId":217204,"corporation":false,"usgs":false,"family":"Moyle","given":"Robert","email":"","middleInitial":"G","affiliations":[{"id":39570,"text":"Univ. of Kansas","active":true,"usgs":false}],"preferred":false,"id":766349,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Braun, Michael J","contributorId":215472,"corporation":false,"usgs":false,"family":"Braun","given":"Michael J","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":766350,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brumfield, Robb T","contributorId":215474,"corporation":false,"usgs":false,"family":"Brumfield","given":"Robb T","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":766351,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Faircloth, Brant C","contributorId":217205,"corporation":false,"usgs":false,"family":"Faircloth","given":"Brant","email":"","middleInitial":"C","affiliations":[{"id":39571,"text":"Louisiana State Univ.","active":true,"usgs":false}],"preferred":false,"id":766352,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tilston-Smith, Brian","contributorId":217234,"corporation":false,"usgs":false,"family":"Tilston-Smith","given":"Brian","email":"","affiliations":[],"preferred":false,"id":766353,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Braun, Edward L","contributorId":215471,"corporation":false,"usgs":false,"family":"Braun","given":"Edward","email":"","middleInitial":"L","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":766354,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70204088,"text":"sim3414 - 2019 - Extent of the Last Glacial Maximum (Tioga) glaciation in Yosemite National Park and vicinity, California","interactions":[],"lastModifiedDate":"2019-08-12T09:49:14","indexId":"sim3414","displayToPublicDate":"2019-07-10T12:07:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3414","displayTitle":"Extent of the Last Glacial Maximum (Tioga) Glaciation in Yosemite National Park and Vicinity, California","title":"Extent of the Last Glacial Maximum (Tioga) glaciation in Yosemite National Park and vicinity, California","docAbstract":"Yosemite National Park, located in the central Sierra Nevada in California, is an icon of the U.S. National Park system. It is famous for its many spectacular geologic features, which include the towering cliffs and hanging waterfalls of Yosemite Valley and the rounded granite domes, deep blue lakes, and jagged peaks and spires of the high country. More subtle but just as spectacular are the vast areas of polished granite, linear scratches, and isolated boulders scattered across the landscape. All of these features owe their origin, at least in part, to glaciers. Glaciers originating at the crest of the Sierra Nevada flowed down preexisting river canyons numerous times throughout the Quaternary Period (the past 2.6 million years). Although the field evidence for past glaciations is necessarily incomplete, at least seven distinct glacial periods have been identified in the Sierra Nevada, spanning a minimum of 1.5 million years.
This map shows the extent of alpine icefields and associated valley glaciers in Yosemite National Park and vicinity during the most recent large glaciation, known as the Last Glacial Maximum, a globally recognized cold period characterized by low sea levels and the growth of ice sheets and mountain glaciers. In the Sierra Nevada, the Last Glacial Maximum glaciation is referred to as the Tioga glaciation. By virtue of being the most recent of the large Pleistocene glaciations, the evidence for the Tioga glaciation is abundant and relatively well preserved in the Yosemite landscape. The Tioga glaciation likely involved at least two, and perhaps as many as four, major glacial advances spanning the interval from approximately 27,000 to 15,000 years ago; the largest of these, representing the maximum ice extent shown on the map, occurred from approximately 21,000 to 18,000 years ago. Although it is possible that the various Tioga-age glaciers in the study area attained their maximum extents at slightly different times during the Last Glacial Maximum, for the purposes of this map we assume that they reached their maximum extents simultaneously. The maximum ice extent shown here may have occupied certain areas only briefly.
During the maximum extent of the Tioga glaciation, glaciers and ice fields covered most areas in and around Yosemite National Park above 2,700 meters elevation, having a profound impact on the Yosemite landscape. In addition to sculpting most of the granite monoliths for which the park is famous, glaciation also dictated the distribution of many geological, hydrological, and ecological features. Thus, the lasting effects of Tioga glaciation are still readily observable in Yosemite National Park today.
Geology, Minerals, Energy and Geophysics Science Center
U.S. Geological Survey
345 Middlefield Road
Mail Stop 973
Menlo Park, CA 94025
Black carp (Mylopharyngodon piceus) were imported to the U.S. in the 1970s to control snails in aquaculture ponds and have since escaped from captivity. The increase in captures of wild fish has raised concerns of risk to native and imperiled unionid mussels given previous literature classified this species a molluscivore. We acquired black carp from commercial fishers and biologists, and examined digestive contents of 109 fish captured over 8 y from lentic and lotic habitats in the central and southern U.S.A. Digestive tract contents were preserved, and diet items inventoried. We identified 59 aquatic animal taxa (21 mollusks, 27 insects, and 11 other invertebrates) and various plant material including nuts and seeds; no fish were found. Approximately 45% of stomachs examined were empty or only contained flukes (Trematoda) that had infected mollusks before they were ingested. Nonempty stomachs contained snails (16.5%), bivalve mussels (22.8%), and insect larvae (net-spinning caddisflies, 15.6%; burrowing mayflies, 6.4%; and midges, 13.7%). Fish also consumed freshwater sponges (Porifera), moss animals (Bryozoa), crustaceans (Ostracoda and Decapoda), water mites (Acarina), and three worm phyla (Nematoda, Nemertea, Annelida). Seven taxa of unionid mussels were identified from shell fragments among the fish we examined, all of which are found in habitats with soft mud or sand/silt substrates. Diet of fish captured in lentic environments contained significantly higher richness than those captured in lotic environments. Individual black carp often contained large numbers of only one or two diet items that were assumed locally abundant and did not always crush the shells of mollusks. Most fish we examined consumed benthic prey, which supports the classification of black carp as a benthic foraging species. However, the presence of other aquatic taxa associated with pelagic or subsurface zones suggests black carp are opportunistic in their consumption of diet items and flexible in their feeding modes.
","language":"English","publisher":"BioOne Complete","doi":"10.1674/0003-0031-182.1.89","usgsCitation":"Poulton, B.C., Kroboth, P., Aiken, G., Chapman, D., Bailey, J., McMurray, S.E., and Faiman, J.S., 2019, First examination of diet items consumed by wild-caught black carp (Mylopharyngodon piceus) in the U.S.: The American Midland Naturalist, v. 182, no. 1, p. 89-108, https://doi.org/10.1674/0003-0031-182.1.89.","productDescription":"20 p.","startPage":"89","endPage":"108","ipdsId":"IP-102117","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437393,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K88CWF","text":"USGS data release","linkHelpText":"Diet items consumed by wild-caught black carp (Mylopharyngodon piceus) in the U.S."},{"id":365576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365572,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1674/0003-0031-182.1.89"}],"volume":"182","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":766180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":766181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George","contributorId":209051,"corporation":false,"usgs":true,"family":"Aiken","given":"George","affiliations":[],"preferred":true,"id":766182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":766183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, J.","contributorId":11981,"corporation":false,"usgs":true,"family":"Bailey","given":"J.","affiliations":[],"preferred":false,"id":766184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMurray, Stephen E.","contributorId":206918,"corporation":false,"usgs":false,"family":"McMurray","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":766185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Faiman, John S.","contributorId":216897,"corporation":false,"usgs":false,"family":"Faiman","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":766186,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223404,"text":"70223404 - 2019 - Status of the Topeka shiner in Iowa","interactions":[],"lastModifiedDate":"2021-08-26T14:44:45.634999","indexId":"70223404","displayToPublicDate":"2019-07-10T09:43:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Status of the Topeka shiner in Iowa","docAbstract":"The Topeka shiner Notropis topeka is native to Iowa, Kansas, Minnesota, Missouri, Nebraska, and South Dakota and has been federally listed as endangered since 1998. Our goals were to determine the present distribution and qualitative status of Topeka shiners throughout its current range in Iowa and characterize the extent of decline in relation to its historic distribution. We compared the current (2016–2017) distribution to distributions portrayed in three earlier time periods. In 2016–2017 Topeka shiners were found in 12 of 20 HUC10 watersheds where they occurred historically. Their status was classified as stable in 21% of the HUC10 watersheds, possibly stable in 25%, possibly recovering in 8%, at risk in 33%, and possibly extirpated in 13% of the watersheds. The increasing trend in percent decline evident in earlier time periods reversed, going from 68% in 2010–11 to 40% in the most recent surveys. Following decades of decline, the status of Topeka shiners in Iowa appears to be improving. One potential reason for the reversal in the distributional decline of Topeka shiners in Iowa is the increasing number of oxbow restorations. Until a standardized monitoring program is established for Iowa, periodic status assessments such as this will be necessary to chronicle progress toward conserving this endangered fish species.
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