Body condition is a gauge of the energy stores of an animal, and though it has important implications for fitness, survival, competition, and disease, it is difficult to measure directly. Instead, body condition is frequently estimated as a body condition index (BCI) using length and mass measurements. A desirable BCI should accurately reflect true body condition and be unbiased with respect to size (i.e., mean BCI estimates should not change across different length or mass ranges), and choosing the most-appropriate BCI is not straightforward. We evaluated 11 different BCIs in 248 Burmese pythons (Python bivittatus), organisms that, like other snakes, exhibit simple body plans well characterized by length and mass. We found that the length-mass relationship in Burmese pythons is positively allometric, where mass increases rapidly with respect to length, and this allowed us to explore the effects of allometry on BCI verification. We employed three alternative measures of ‘true’ body condition: percent fat, scaled fat, and residual fat. The latter two measures mostly accommodated allometry in true body condition, but percent fat did not. Our inferences of the best-performing BCIs depended heavily on our measure of true body condition, with most BCIs falling into one of two groups. The first group contained most BCIs based on ratios, and these were associated with percent fat and body length (i.e., were biased). The second group contained the scaled mass index and most of the BCIs based on linear regressions, and these were associated with both scaled and residual fat but not body length (i.e., were unbiased). Our results show that potential differences in measures of true body condition should be explored in BCI verification studies, particularly in organisms undergoing allometric growth. Furthermore, the caveats of each BCI and similarities to other BCIs are important to consider when determining which BCI is appropriate for any particular taxon.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0180791","usgsCitation":"Falk, B., Snow, R.W., and Reed, R., 2017, A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry: PLoS ONE, v. 12, no. 1, p. 1-20, https://doi.org/10.1371/journal.pone.0180791.","productDescription":"e0180791; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-079397","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469638,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0180791","text":"Publisher Index Page"},{"id":438254,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ST7NCG","text":"USGS data release","linkHelpText":"Sex, length, total mass, fat mass, and specimen condition data for 248 Burmese pythons (Python bivittatus) collected in the Florida Everglades"},{"id":346382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59d5f345e4b05fe04cc652ce","contributors":{"authors":[{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":711916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":149307,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":711917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190996,"text":"70190996 - 2017 - Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","interactions":[],"lastModifiedDate":"2017-10-16T14:58:51","indexId":"70190996","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SIEN/NRR—2017/1476","title":"Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","docAbstract":"Whitebark pine and foxtail pine serve foundational roles in the subalpine zone of the Sierra Nevada. They provide the dominant structure in tree-line forests and regulate key ecosystem processes and community dynamics. Climate change models suggest that there will be changes in temperature regimes and in the timing and magnitude of precipitation within the current distribution of these species, and these changes may alter the species’ distributional limits. Other stressors include the non-native pathogen white pine blister rust and mountain pine beetle, which have played a role in the decline of whitebark pine throughout much of its range. The National Park Service is monitoring status and trends of these species. This report provides complementary information in the form of habitat suitability models to predict climate change impacts on the future distribution of these species within Sierra Nevada national parks.
We used maximum entropy modeling to build habitat suitability models by relating species occurrence to environmental variables. Species occurrence was available from 328 locations for whitebark pine and 244 for foxtail pine across the species’ distributions within the parks. We constructed current climate surfaces for modeling by interpolating data from weather stations. Climate surfaces included mean, minimum, and maximum temperature and total precipitation for January, April, July, and October. We downscaled five general circulation models for the 2050s and the 2090s from ~125 km2 to 1 km2 under both an optimistic and an extreme climate scenario to bracket potential climatic change and its influence on projected suitable habitat.
To describe anticipated changes in the distribution of suitable habitat, we compared, for each species, climate scenario, and time period, the current models with future models in terms of proportional change in habitat size, elevation distribution, model center points, and where habitat is predicted to expand or contract.
Overall, models indicated that suitable habitats for whitebark and foxtail pine are more likely to shift geographically within the parks by 2100 rather than decline precipitously. This implies park managers might focus conservation efforts on stressors other than climate change, working toward species resilience in the face of threats from introduced disease and elevated native insect damage. More specifically, further understanding of the incidence and severity of white pine blister rust and other stressors in high elevation white pines would help assess vulnerability from threats other than climate change.
The Mississippi Alluvial Valley includes hundreds of floodplain lakes that support unique fish assemblages and high biodiversity. Irrigation practices in the valley have lowered the water table, increasing the cost of pumping water, and necessitating the use of floodplain lakes as a source of water for irrigation. This development has prompted the need to regulate water withdrawals to protect aquatic resources, but it is unknown how much water can be withdrawn from lakes before ecological integrity is compromised. To estimate withdrawal limits, we examined descriptors of lake water quality (i.e., total nitrogen, total phosphorus, turbidity, Secchi visibility, chlorophyll-a) and fish assemblages (species richness, diversity, composition) relative to maximum depth in 59 floodplain lakes. Change-point regression analysis was applied to identify critical depths at which the relationships between depth and lake descriptors exhibited a rapid shift in slope, suggesting possible thresholds. All our water quality and fish assemblage descriptors showed rapid changes relative to depth near 1.2–2.0 m maximum depth. This threshold span may help inform regulatory decisions about water withdrawal limits. Alternatives to explain the triggers of the observed threshold span are considered.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2017.06.022","usgsCitation":"Miranda, L.E., Omer, A., and Killgore, K., 2017, Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley: Agriculture, Ecosystems and Environment, v. 246, p. 354-360, https://doi.org/10.1016/j.agee.2017.06.022.","productDescription":"7 p.","startPage":"354","endPage":"360","ipdsId":"IP-085518","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.4339599609375,\n 34.962497232449145\n ],\n [\n -90.758056640625,\n 34.97600151317588\n ],\n [\n -91.109619140625,\n 34.88593094075317\n ],\n [\n -91.47216796875,\n 34.6241677899049\n ],\n [\n -91.77429199218749,\n 34.32529192442733\n ],\n [\n -91.878662109375,\n 34.00258128543371\n ],\n [\n -92.0379638671875,\n 33.5963189611327\n ],\n [\n -92.07092285156249,\n 33.38099943104024\n ],\n [\n -92.0050048828125,\n 33.04090311724091\n ],\n [\n -91.0986328125,\n 33.03629817885956\n ],\n [\n -90.9832763671875,\n 32.48196313217176\n ],\n [\n -90.5438232421875,\n 32.67174887226337\n ],\n [\n -90.4339599609375,\n 33.123750829710225\n ],\n [\n -90.296630859375,\n 33.62376800118811\n ],\n [\n -90.1153564453125,\n 34.19817309627726\n ],\n [\n -90.04394531249999,\n 34.59704151614417\n ],\n [\n -90,\n 34.84085858477277\n ],\n [\n -90.164794921875,\n 34.92197103616377\n ],\n [\n -90.4339599609375,\n 34.962497232449145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"246","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b4e4b0dc0b45b4532f","contributors":{"authors":[{"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":720610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Omer, A.R.","contributorId":200190,"corporation":false,"usgs":false,"family":"Omer","given":"A.R.","email":"","affiliations":[{"id":35483,"text":"Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":721372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killgore, K.J.","contributorId":200191,"corporation":false,"usgs":false,"family":"Killgore","given":"K.J.","email":"","affiliations":[{"id":33009,"text":"Engineer Research and Development Center, U. S. Army Corps of Engineers, Vicksburg, Mississippi","active":true,"usgs":false}],"preferred":false,"id":721373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192164,"text":"70192164 - 2017 - Effects of deep basins on structural collapse during large subduction earthquakes","interactions":[],"lastModifiedDate":"2017-10-23T13:47:13","indexId":"70192164","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Effects of deep basins on structural collapse during large subduction earthquakes","docAbstract":"Deep sedimentary basins are known to increase the intensity of ground motions, but this effect is implicitly considered in seismic hazard maps used in U.S. building codes. The basin amplification of ground motions from subduction earthquakes is particularly important in the Pacific Northwest, where the hazard at long periods is dominated by such earthquakes. This paper evaluates the effects of basins on spectral accelerations, ground-motion duration, spectral shape, and structural collapse using subduction earthquake recordings from basins in Japan that have similar depths as the Puget Lowland basin. For three of the Japanese basins and the Puget Lowland basin, the spectral accelerations were amplified by a factor of 2 to 4 for periods above 2.0 s. The long-duration subduction earthquakes and the effects of basins on spectral shape combined, lower the spectral accelerations at collapse for a set of building archetypes relative to other ground motions. For the hypothetical case in which these motions represent the entire hazard, the archetypes would need to increase up to 3.3 times its strength to compensate for these effects.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/071916EQS114M","usgsCitation":"Marafi, N.A., Eberhard, M.O., Berman, J.W., Wirth, E.A., and Frankel, A.D., 2017, Effects of deep basins on structural collapse during large subduction earthquakes: Earthquake Spectra, v. 33, no. 3, p. 963-997, https://doi.org/10.1193/071916EQS114M.","productDescription":"15 p.","startPage":"963","endPage":"997","ipdsId":"IP-078361","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f80","contributors":{"authors":[{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberhard, Marc O.","contributorId":11575,"corporation":false,"usgs":true,"family":"Eberhard","given":"Marc","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":714500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berman, Jeffrey W.","contributorId":197876,"corporation":false,"usgs":false,"family":"Berman","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":714502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714498,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188739,"text":"sir20175067 - 2017 - Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015","interactions":[],"lastModifiedDate":"2019-07-31T10:16:55","indexId":"sir20175067","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5067","title":"Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015","docAbstract":"This report presents the results of a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources to estimate total nitrogen (TN) and total phosphorus (TP) concentrations at monitoring sites within and near the Lower Grand River hydrological unit. The primary objectives of the study were to quantify temporal changes in TN and TP concentrations and compare those concentrations to conservation practices and agricultural activities. Despite increases in funding during 2011–15 for conservation practices in the Lower Grand River from the Mississippi River Basin Healthy Watersheds Initiative, decreases in flow-normalized TN and TP concentrations during this time at the long-term Grand River site were less than at other long-term sites, which did not receive funding from the Mississippi River Basin Healthy Watersheds Initiative. The relative differences in the magnitude of flow-normalized TN and TP concentrations among long-term sites are directly related to the amount of agricultural land use within the watershed. Significant relations were determined between nitrogen from cattle manure and flow-normalized TN concentrations at selected long-term sites, indicating livestock manure may be a substantial source of nitrogen within the selected long-term site watersheds. Relations between flow-normalized TN and TP concentrations with Conservation Reserve Program acres and with nitrogen and phosphorus from commercial fertilizer indicate that changes in these factors alone did not have a substantial effect on stream TN and TP concentrations; other landscape activities, runoff, within-bank nutrients that are suspended during higher streamflows, or a combination of these have had a greater effect on stream TN and TP concentrations; or there is a lag time that is obscuring relations. Temporal changes in flow-adjusted TN and TP concentrations were not substantial at Lower Grand River Mississippi River Basin Healthy Watersheds Initiative sites, indicating factors besides stream variability did not have substantial effects on TN and TP concentrations. Flow-weighted TN and TP concentrations at Lower Grand River Mississippi River Basin Healthy Watershed Initiative sites increase with increasing streamflow, which indicates runoff, within-bank nutrients that are suspended during higher streamflows, or both, have more effect on stream TN and TP concentrations than consistent point sources or groundwater sources. Timing of TN and TP concentration increases compared to streamflow increases indicate that nitrogen and phosphorus loads are more strongly related to streamflow than to a particular period of the year, indicating that runoff, within-bank nutrients that are suspended during higher streamflows, or both are a substantial source of nutrients regardless of timing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175067","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., and Flickinger, A.K., 2017, Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015: U.S. Geological Survey Scientific Investigations Report 2017–5067, 28 p., https://doi.org/10.3133/sir20175067.","productDescription":"Report: vii, 28 p.; Appendix: 1–8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082213","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":344501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5067/coverthb.jpg"},{"id":344502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5067"},{"id":344503,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067_appendixes.xlsx","text":"Appendix 1–8","size":"725 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5067 Appendixes","linkHelpText":"Supplemental Data for Selected Sites in Missouri and Iowa"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Chariton River, Lower Grand River, Nodaway River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.2,\n 39.2\n ],\n [\n -92.5,\n 39.2\n ],\n [\n -92.5,\n 41.5\n ],\n [\n -95.2,\n 41.5\n ],\n [\n -95.2,\n 39.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
This study explored how factors, including the function of bag limits, agency trust, satisfaction, hunting participation, and demographics, related to opinions about duck bag limits. The results are from a survey of 2014 Minnesota resident waterfowl hunters. Analyses identified four dimensions of attitudes about functions of bag limits, including that they: (a) are descriptive in defining the acceptable number of ducks that can be bagged, (b) are injunctive in establishing how many ducks should be allowed to be bagged, (c) ensure fair opportunities for all hunters to bag ducks, and (d) reflect biological limitations to protect waterfowl populations. Descriptive and fairness functions of bag limits were related to opinions about bag limits, as were factors related to agency trust, satisfaction, ducks bagged, experience with more restrictive bag limits, hunter age, and hunting group membership. Agencies may increase support by building trust and emphasizing the descriptive and fairness functions of regulations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1345021","usgsCitation":"Schroeder, S., Fulton, D.C., Lawrence, J.S., and Cordts, S.D., 2017, How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits: Human Dimensions of Wildlife, v. 22, no. 5, p. 454-475, https://doi.org/10.1080/10871209.2017.1345021.","productDescription":"22 p.","startPage":"454","endPage":"475","ipdsId":"IP-083734","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a2e4b09af898c8cb92","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":719409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Jeffrey S.","contributorId":171470,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":171471,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193664,"text":"70193664 - 2017 - Can personality predict individual differences in brook trout spatial learning ability?","interactions":[],"lastModifiedDate":"2017-11-13T14:26:17","indexId":"70193664","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":987,"text":"Behavioural Processes","active":true,"publicationSubtype":{"id":10}},"title":"Can personality predict individual differences in brook trout spatial learning ability?","docAbstract":"While differences in individual personality are common in animal populations, understanding the ecological significance of variation has not yet been resolved. Evidence suggests that personality may influence learning and memory; a finding that could improve our understanding of the evolutionary processes that produce and maintain intraspecific behavioural heterogeneity. Here, we tested whether boldness, the most studied personality trait in fish, could predict learning ability in brook trout. After quantifying boldness, fish were trained to find a hidden food patch in a maze environment. Stable landmark cues were provided to indicate the location of food and, at the conclusion of training, cues were rearranged to test for learning. There was a negative relationship between boldness and learning as shy fish were increasingly more successful at navigating the maze and locating food during training trials compared to bold fish. In the altered testing environment, only shy fish continued using cues to search for food. Overall, the learning rate of bold fish was found to be lower than that of shy fish for several metrics suggesting that personality could have widespread effects on behaviour. Because learning can increase plasticity to environmental change, these results have significant implications for fish conservation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.beproc.2016.08.009","usgsCitation":"White, S., Wagner, T., Gowan, C., and Braithwaite, V., 2017, Can personality predict individual differences in brook trout spatial learning ability?: Behavioural Processes, v. 141, no. 2, p. 220-228, https://doi.org/10.1016/j.beproc.2016.08.009.","productDescription":"9 p.","startPage":"220","endPage":"228","ipdsId":"IP-066365","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.beproc.2016.08.009","text":"Publisher Index Page"},{"id":348716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b9","contributors":{"authors":[{"text":"White, S.L.","contributorId":199722,"corporation":false,"usgs":false,"family":"White","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":719834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gowan, C.","contributorId":199723,"corporation":false,"usgs":false,"family":"Gowan","given":"C.","email":"","affiliations":[],"preferred":false,"id":719835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braithwaite, V.A.","contributorId":172165,"corporation":false,"usgs":false,"family":"Braithwaite","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":719836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191708,"text":"70191708 - 2017 - Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","interactions":[],"lastModifiedDate":"2017-10-23T16:10:42","indexId":"70191708","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","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":"Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","docAbstract":"Tectonic stress in the crust evolves during a seismic cycle, with slow stress accumulation over interseismic periods, episodic stress steps at the time of earthquakes, and transient stress readjustment during a postseismic period that may last months to years. Static stress transfer to surrounding faults has been well documented to alter regional seismicity rates over both short and long time scales. While static stress transfer is instantaneous and long lived, postseismic stress transfer driven by viscoelastic relaxation of the ductile lower crust and mantle leads to additional, slowly varying stress perturbations. Both processes may be tested by comparing a decade-long record of regional seismicity to predicted time-dependent seismicity rates based on a stress evolution model that includes viscoelastic stress transfer. Here we explore crustal stress evolution arising from the seismic cycle in Southern California from 1981 to 2014 using five M≥6.5 source quakes: the M7.3 1992 Landers, M6.5 1992 Big Bear, M6.7 1994 Big Bear, M7.1 1999 Hector Mine, and M7.2 2010 El Mayor-Cucapah earthquakes. We relate the stress readjustment in the surrounding crust generated by each quake to regional seismicity using rate-and-state friction theory. Using a log likelihood approach, we quantify the potential to trigger seismicity of both static and viscoelastic stress transfer, finding that both processes have systematically shaped the spatial pattern of Southern California seismicity since 1992.
","language":"English","publisher":"AGU","doi":"10.1002/2017JB014200","usgsCitation":"Pollitz, F., and Cattania, C., 2017, Connecting crustal seismicity and earthquake-driven stress evolution in Southern California: Journal of Geophysical Research B: Solid Earth, v. 122, no. 8, p. 6473-6490, https://doi.org/10.1002/2017JB014200.","productDescription":"18 p.","startPage":"6473","endPage":"6490","ipdsId":"IP-083347","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469639,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014200","text":"External Repository"},{"id":347170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 32\n ],\n [\n -114.5,\n 32\n ],\n [\n -114.5,\n 36\n ],\n [\n -119,\n 36\n ],\n [\n -119,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-14","publicationStatus":"PW","scienceBaseUri":"59eeffa6e4b0220bbd988f84","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cattania, Camilla 0000-0003-0031-1696","orcid":"https://orcid.org/0000-0003-0031-1696","contributorId":197284,"corporation":false,"usgs":false,"family":"Cattania","given":"Camilla","email":"","affiliations":[],"preferred":false,"id":713124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191550,"text":"70191550 - 2017 - Systems approaches for coastal hazard assessment and resilience","interactions":[],"lastModifiedDate":"2017-12-01T13:41:32","indexId":"70191550","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Systems approaches for coastal hazard assessment and resilience","docAbstract":"The framework presented herein supports a changing paradigm in the approaches used by coastal researchers, engineers, and social scientists to model the impacts of climate change and sea level rise (SLR) in particular along low-gradient coastal landscapes. Use of a System of Systems (SoS) approach to the coastal dynamics of SLR is encouraged to capture the nonlinear feedbacks and dynamic responses of the bio-geo-physical coastal environment to SLR, while assessing the social, economic, and ecologic impacts. The SoS approach divides the coastal environment into smaller subsystems such as morphology, ecology, and hydrodynamics. Integrated models are used to assess the dynamic responses of subsystems to SLR; these models account for complex interactions and feedbacks among individual systems, which provides a more comprehensive evaluation of the future of the coastal system as a whole. Results from the integrated models can be used to inform economic services valuations, in which economic activity is connected back to bio-geo-physical changes in the environment due to SLR by identifying changes in the coastal subsystems, linking them to the understanding of the economic system and assessing the direct and indirect impacts to the economy. These assessments can be translated from scientific data to application through various stakeholder engagement mechanisms, which provide useful feedback for accountability as well as benchmarks and diagnostic insights for future planning. This allows regional and local coastal managers to create more comprehensive policies to reduce the risks associated with future SLR and enhance coastal resilience.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford Research Encyclopedia of Natural Hazard Science","language":"English","publisher":"Oxford University Press","doi":"10.1093/acrefore/9780199389407.013.28","usgsCitation":"Hagen, S.C., Passeri, D., Bilskie, M.V., DeLorme, D.E., and Yoskowitz, D., 2017, Systems approaches for coastal hazard assessment and resilience, chap. of Oxford Research Encyclopedia of Natural Hazard Science, 28 p., https://doi.org/10.1093/acrefore/9780199389407.013.28.","productDescription":"28 p.","ipdsId":"IP-084210","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230cd","contributors":{"authors":[{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":712732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":712731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":712733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLorme, Denise E.","contributorId":197164,"corporation":false,"usgs":false,"family":"DeLorme","given":"Denise","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoskowitz, David","contributorId":197165,"corporation":false,"usgs":false,"family":"Yoskowitz","given":"David","email":"","affiliations":[],"preferred":false,"id":712735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192309,"text":"70192309 - 2017 - Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid","interactions":[],"lastModifiedDate":"2017-10-24T16:13:18","indexId":"70192309","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","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":"Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid","docAbstract":"Differential climate-induced shifts in phenology can create mismatches between predators and prey, but few studies have examined predator–prey mismatch across multiple life-history stages. We used long-term data from a warming stream with shifting salmonid migration timings to quantify intra-annual migration synchrony between predatory Dolly Varden (Salvelinus malma) and Pacific salmon prey and examined how predator–prey synchrony has been influenced by climate change. We demonstrate that Dolly Varden have become increasingly mismatched with spring downstream migrations of abundant pink salmon (Oncorhynchus gorbuscha) juveniles. However, Dolly Varden have remained matched with fall upstream migrations of spawning Pacific salmon, including coho (Oncorhynchus kisutch), sockeye (Oncorhynchus nerka), and pink salmon. Downstream predator–prey migration synchrony decreased over time and with higher temperatures, particularly with pink salmon. In contrast, upstream migration synchrony was temporally stable and increased with rising temperatures. Differing trends in Dolly Varden predator–prey synchrony may be explained by the direct use of salmon to cue upstream migration, but not downstream migration. Overall, we show that climate change can have differing impacts on predator–prey synchrony across life-history stages.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0309","usgsCitation":"Bell, D.A., Kovach, R., Vulstek, S.C., Joyce, J.E., and Tallmon, D.A., 2017, Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 9, p. 1431-1438, https://doi.org/10.1139/cjfas-2016-0309.","productDescription":"8 p.","startPage":"1431","endPage":"1438","ipdsId":"IP-072250","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Auke Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.64706420898438,\n 58.37863353802563\n ],\n [\n -134.61676597595215,\n 58.37863353802563\n ],\n [\n -134.61676597595215,\n 58.39595479597593\n ],\n [\n -134.64706420898438,\n 58.39595479597593\n ],\n [\n -134.64706420898438,\n 58.37863353802563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"74","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d8c","contributors":{"authors":[{"text":"Bell, Donovan A.","contributorId":198161,"corporation":false,"usgs":false,"family":"Bell","given":"Donovan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vulstek, Scott C.","contributorId":198163,"corporation":false,"usgs":false,"family":"Vulstek","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joyce, John E.","contributorId":198162,"corporation":false,"usgs":false,"family":"Joyce","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tallmon, David A.","contributorId":198157,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191337,"text":"70191337 - 2017 - Incorporating Allee effects into the potential biological removal level","interactions":[],"lastModifiedDate":"2017-10-05T15:54:30","indexId":"70191337","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating Allee effects into the potential biological removal level","docAbstract":"Potential biological removal (PBR) is an approach used to calculate sustainable harvest and “take” limits for populations. PBR was originally derived assuming logistic growth while ignoring the effects of small population size (i.e., an Allee effect). We derived a version of PBR that includes an Allee effect (i.e., small population size or densities limiting population growth rates). We found that PBR becomes less conservative when it fails to consider an Allee effect. Specifically, sustainable harvest and take levels based upon PBR with an Allee effect were between approximately 51% and 66% of levels based upon PBR without an Allee effect. Managers and biologists using PBR may need to consider the limitations if an Allee effect may be present in the species being modeled.
","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12133","usgsCitation":"Hadier, H., Oldfield, S., Tu, T., Moreno, R., Diffendorfer, J.E., Eager, E., and Erickson, R.A., 2017, Incorporating Allee effects into the potential biological removal level: Natural Resource Modeling, v. 30, no. 3, p. 1-16, https://doi.org/10.1111/nrm.12133.","productDescription":"e12133; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-083313","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nrm.12133","text":"Publisher Index Page"},{"id":346438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59d744a1e4b05fe04cc7e317","contributors":{"authors":[{"text":"Hadier, Humza","contributorId":196936,"corporation":false,"usgs":false,"family":"Hadier","given":"Humza","email":"","affiliations":[],"preferred":false,"id":711990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldfield, Sarah","contributorId":196937,"corporation":false,"usgs":false,"family":"Oldfield","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":711991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tu, Tiffany","contributorId":196938,"corporation":false,"usgs":false,"family":"Tu","given":"Tiffany","email":"","affiliations":[],"preferred":false,"id":711992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moreno, Rosa","contributorId":196939,"corporation":false,"usgs":false,"family":"Moreno","given":"Rosa","email":"","affiliations":[],"preferred":false,"id":711993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":711995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eager, Eric A.","contributorId":140447,"corporation":false,"usgs":false,"family":"Eager","given":"Eric A.","affiliations":[{"id":13504,"text":"Department of Mathematics, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":711994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711989,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189426,"text":"sir20175022M - 2017 - Field-trip guide to a volcanic transect of the Pacific Northwest","interactions":[{"subject":{"id":70189426,"text":"sir20175022M - 2017 - Field-trip guide to a volcanic transect of the Pacific Northwest","indexId":"sir20175022M","publicationYear":"2017","noYear":false,"chapter":"M","title":"Field-trip guide to a volcanic transect of the Pacific Northwest"},"predicate":"IS_PART_OF","object":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"id":1}],"isPartOf":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"lastModifiedDate":"2017-08-02T09:16:45","indexId":"sir20175022M","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5022","chapter":"M","title":"Field-trip guide to a volcanic transect of the Pacific Northwest","docAbstract":"The Pacific Northwest region of the United States provides world-class and historically important examples of a wide variety of volcanic features. This guide is designed to give a broad overview of the region’s diverse volcanism rather than focusing on the results of detailed studies; the reader should consult the reference list for more detailed information on each of the sites, and we have done our best to recognize previous field trip leaders who have written the pioneering guides. This trip derives from one offered as a component of the joint University of Idaho- Washington State University volcanology class taught from 1995 through 2014, and it borrows in theme from the classic field guide of Johnston and Donnelly-Nolan (1981).
For readers interested in using this field guide as an educational tool, we have included an appendix with supplemental references to resources that provide useful background information on relevant topics, as well as a few suggestions for field-based exercises that could be useful when bringing students to these locations in the future.
The 4-day trip begins with an examination of lava flow structures of the Columbia River Basalt, enormous lava fields that were emplaced during one of the largest eruptive episodes in Earth’s recent history. On the second day, the trip turns to the High Lava Plains, a bimodal volcanic province that transgressed from southeast to northwest from the Miocene through the Holocene, at the northern margin of the Basin and Range Province. This volcanic field provides excellent examples of welded ignimbrite, silicic lavas and domes, monogenetic basaltic lava fields, and hydrovolcanic features. The third day is devoted to a circumnavigation of Crater Lake, the result of one of the world’s best-documented caldera-forming eruptions. The caldera walls also expose the anatomy of Mount Mazama, a stratovolcano of the Cascade Range. The last day is spent at Newberry Volcano, a back-arc shield volcano topped by a caldera. Newberry is compositionally bimodal with an abundance of explosive and effusive deposits, including the youngest rhyolites in the Pacific Northwest.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022M","usgsCitation":"Geist, Dennis, Wolff, John, and Harpp, Karen, 2017, Field-trip guide to a volcanic transect of the Pacific Northwest: U.S. Geological Survey Scientific Investigations Report 2017–5022–M, 31 p., https://doi.org/10.3133/sir20175022M.","productDescription":"ix, 31 p.","onlineOnly":"Y","ipdsId":"IP-080362","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/m/coverthb.jpg"},{"id":344511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/m/sir20175022m.pdf","text":"Report","size":"26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-M"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.595947265625,\n 42.309815415686664\n ],\n [\n -118.77319335937499,\n 42.309815415686664\n ],\n [\n -118.77319335937499,\n 45.98169518512228\n ],\n [\n -124.595947265625,\n 45.98169518512228\n ],\n [\n -124.595947265625,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
The timing and drivers of vegetation dynamics and formation of no-analog plant communities during the last deglaciation in the unglaciated southeastern US are poorly understood. We present a multi-proxy record spanning the past 19,800 years from Cupola Pond in the Ozarks Mountains, consisting of replicate high-resolution pollen records, 25 AMS radiocarbon dates, and macrofossil, charcoal, and coprophilous spore analyses. Full-glacial Pinus and Picea forests gave way to no-analog vegetation after 17,400 yr BP, followed by development of Quercus-dominated Holocene forests, with late Holocene rises in Pinus and Nyssa. Vegetation transitions, replicated in different cores, are closely linked to hemispheric climate events. Rising Quercus abundances coincide with increasing Northern Hemisphere temperatures and CO2 at 17,500 yr BP, declining Pinus and Picea at 14,500 yr BP are near the Bølling-Allerød onset, and rapid decline of Fraxinus and rise of Ostrya/Carpinus occur 12,700 yr BP during the Younger Dryas. The Cupola no-analog vegetation record is unusual for its early initiation (17,000 yr BP) and for its three vegetation zones, representing distinct rises of Fraxinus and Ostrya/Carpinus. Sporormiella was absent and sedimentary charcoal abundances were low throughout, suggesting that fire and megaherbivores were not locally important agents of disturbance and turnover. The Cupola record thus highlights the complexity of the late-glacial no-analog communities and suggests direct climatic regulation of their formation and disassembly.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.06.024","usgsCitation":"Jones, R.A., Williams, J.W., and Jackson, S.T., 2017, Vegetation history since the last glacial maximum in the Ozark highlands (USA): A new record from Cupola Pond, Missouri: Quaternary Science Reviews, v. 170, p. 174-187, https://doi.org/10.1016/j.quascirev.2017.06.024.","productDescription":"14 p.","startPage":"174","endPage":"187","ipdsId":"IP-080506","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":469645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.06.024","text":"Publisher Index Page"},{"id":346965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Cupola Pond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.09690969045707,\n 36.80559507121448\n ],\n [\n -91.09690969045707,\n 36.79505053532908\n ],\n [\n -91.0801260704634,\n 36.79505053532908\n ],\n [\n -91.0801260704634,\n 36.80559507121448\n ],\n [\n -91.09690969045707,\n 36.80559507121448\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"170","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c71","contributors":{"authors":[{"text":"Jones, Rachel A.","contributorId":197555,"corporation":false,"usgs":false,"family":"Jones","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":713723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":713721,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191574,"text":"70191574 - 2017 - Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply","interactions":[],"lastModifiedDate":"2017-10-17T12:27:43","indexId":"70191574","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3826","usgsCitation":"Baldwin, A.K., Corsi, S., Lutz, M.A., Ingersoll, C.G., Dorman, R.A., Magruder, C., and Magruder, M., 2017, Response to comment on “Primary sources and toxicity of PAHs in Milwaukee-area streambed sediments”—The authors' reply: Environmental Toxicology and Chemistry, v. 36, no. 8, p. 1981-1983, https://doi.org/10.1002/etc.3826.","productDescription":"3 p.","startPage":"1981","endPage":"1983","ipdsId":"IP-086183","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":346691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd33199","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":167259,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":712792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":712793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magruder, Christopher","contributorId":197179,"corporation":false,"usgs":false,"family":"Magruder","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":712794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magruder, Matthew","contributorId":197180,"corporation":false,"usgs":false,"family":"Magruder","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":712795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192203,"text":"70192203 - 2017 - Managed aquifer recharge through off-season irrigation in agricultural regions","interactions":[],"lastModifiedDate":"2017-10-23T11:58:54","indexId":"70192203","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Managed aquifer recharge through off-season irrigation in agricultural regions","docAbstract":"Options for increasing reservoir storage in developed regions are limited and prohibitively expensive. Projected increases in demand call for new long-term water storage to help sustain agriculture, municipalities, industry, and ecological services. Managed aquifer recharge (MAR) is becoming an integral component of water resources around the world. However, MAR faces challenges, including infrastructure costs, difficulty in enhancing recharge, water quality issues, and lack of available water supplies. Here we examine, through simulation modeling of a hypothetical agricultural subbasin in the western U.S., the potential of agricultural managed aquifer recharge (Ag-MAR) via canal seepage and off-season field irrigation. Weather phenomenon in many regions around the world exhibit decadal and other multiyear cycles of extreme precipitation. An ongoing challenge is to develop approaches to store greater amounts of water during these events. Simulations presented herein incorporate Ag-MAR programs and demonstrate that there is potential to enhance regional recharge by 7–13%, increase crop consumptive use by 9–12%, and increase natural vegetation consumption by 20–30%, where larger relative increases occur for lower aquifer hydraulic conductivity and higher specific yield values. Annual increases in groundwater levels were 7 m, and sustained levels following several years of drought were greater than 2 m. Results demonstrate that Ag-MAR has great potential to enhance long-term sustainability of water resources in agricultural basins.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020458","usgsCitation":"Niswonger, R.G., Morway, E.D., Triana, E., and Huntington, J., 2017, Managed aquifer recharge through off-season irrigation in agricultural regions: Water Resources Research, v. 53, no. 8, p. 6970-6992, https://doi.org/10.1002/2017WR020458.","productDescription":"23 p.","startPage":"6970","endPage":"6992","ipdsId":"IP-087681","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020458","text":"Publisher Index Page"},{"id":347106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f7e","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":714750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":714751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192038,"text":"70192038 - 2017 - Introduction to “Global tsunami science: Past and future, Volume II”","interactions":[],"lastModifiedDate":"2017-10-24T15:23:45","indexId":"70192038","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to “Global tsunami science: Past and future, Volume II”","docAbstract":"Twenty-two papers on the study of tsunamis are included in Volume II of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 (Eds., E. L. Geist, H. M. Fritz, A. B. Rabinovich, and Y. Tanioka). Three papers in Volume II focus on details of the 2011 and 2016 tsunami-generating earthquakes offshore of Tohoku, Japan. The next six papers describe important case studies and observations of recent and historical events. Four papers related to tsunami hazard assessment are followed by three papers on tsunami hydrodynamics and numerical modelling. Three papers discuss problems of tsunami warning and real-time forecasting. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: volcanic explosions, landslides, and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-017-1638-3","usgsCitation":"Rabinovich, A.B., Fritz, H.M., Tanioka, Y., and Geist, E.L., 2017, Introduction to “Global tsunami science: Past and future, Volume II”: Pure and Applied Geophysics, v. 174, no. 8, p. 2883-2889, https://doi.org/10.1007/s00024-017-1638-3.","productDescription":"7 p.","startPage":"2883","endPage":"2889","ipdsId":"IP-089141","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-017-1638-3","text":"Publisher Index Page"},{"id":347267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d8e","contributors":{"authors":[{"text":"Rabinovich, Alexander B.","contributorId":177506,"corporation":false,"usgs":false,"family":"Rabinovich","given":"Alexander","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Hermann M.","contributorId":194830,"corporation":false,"usgs":false,"family":"Fritz","given":"Hermann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanioka, Yuichiro","contributorId":177507,"corporation":false,"usgs":false,"family":"Tanioka","given":"Yuichiro","email":"","affiliations":[],"preferred":false,"id":713951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":713948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191446,"text":"70191446 - 2017 - Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","interactions":[],"lastModifiedDate":"2017-10-12T13:24:01","indexId":"70191446","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","docAbstract":"Postwildfire debris flows are frequently triggered by runoff following high-intensity rainfall, but the physical mechanisms by which water-dominated flows transition to debris flows are poorly understood relative to debris flow initiation from shallow landslides. In this study, we combined a numerical model with high-resolution hydrologic and geomorphic data sets to test two different hypotheses for debris flow initiation during a rainfall event that produced numerous debris flows within a recently burned drainage basin. Based on simulations, large volumes of sediment eroded from the hillslopes were redeposited within the channel network throughout the storm, leading to the initiation of numerous debris flows as a result of the mass failure of sediment dams that built up within the channel. More generally, results provide a quantitative framework for assessing the potential of runoff-generated debris flows based on sediment supply and hydrologic conditions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074243","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., and Staley, D.M., 2017, Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?: Geophysical Research Letters, v. 44, no. 14, p. 7310-7319, https://doi.org/10.1002/2017GL074243.","productDescription":"10 p.","startPage":"7310","endPage":"7319","ipdsId":"IP-088758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl074243","text":"Publisher Index Page"},{"id":346555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"44","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"59e07f30e4b05fe04ccfcd14","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192826,"text":"70192826 - 2017 - Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","interactions":[],"lastModifiedDate":"2017-10-31T10:54:21","indexId":"70192826","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","docAbstract":"We analyze the recorded responses of a 64-story, instrumented, concrete core shear wall building in San Francisco, California, equipped with tuned sloshing liquid dampers (TSDs) and buckling restraining braces (BRBs). Previously, only ambient data from the 72-channel array in the building were studied (Çelebi et al. 2013). Recently, the 24 August 2014 Mw 6.0 Napa and three other earthquakes were recorded. The peak accelerations of ambient and the larger Napa earthquake responses at the basement are 0.12 cm/s/s and 5.2 cm/s/s respectively—a factor of ~42. At the 61st level, they are 0.30 cm/s/s (ambient) and 16.8 cm/s/s (Napa), respectively—a factor of ~56. Fundamental frequencies (NS ~ 0.3, EW ~ 0.27 Hz) from earthquake responses vary within an insignificant frequency band of ~0.02–0.03 Hz when compared to those from ambient data. In the absence of soil-structure interaction (SSI), these small and insignificant differences may be attributed to (1) identification errors, (2) any nonlinear behavior, and (3) shaking levels that are not large enough to activate the BRBs and TSDs to make significant shifts in frequencies and increase damping.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/031616EQS041M","usgsCitation":"Çelebi, M., Hooper, J., and Klemencic, R., 2017, Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions: Earthquake Spectra, v. 33, no. 3, p. 1125-1148, https://doi.org/10.1193/031616EQS041M.","productDescription":"24 p.","startPage":"1125","endPage":"1148","ipdsId":"IP-071292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fremont, Napa, Piedmont, San Ramon","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59f98bb6e4b0531197af9fe7","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":717086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemencic, Ron","contributorId":146973,"corporation":false,"usgs":false,"family":"Klemencic","given":"Ron","email":"","affiliations":[],"preferred":false,"id":717087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189893,"text":"70189893 - 2017 - Future research needs involving pathogens in groundwater","interactions":[],"lastModifiedDate":"2018-08-09T12:18:21","indexId":"70189893","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Future research needs involving pathogens in groundwater","docAbstract":"Contamination of groundwater by enteric pathogens has commonly been associated with disease outbreaks. Proper management and treatment of pathogen sources are important prerequisites for preventing groundwater contamination. However, non-point sources of pathogen contamination are frequently difficult to identify, and existing approaches for pathogen detection are costly and only provide semi-quantitative information. Microbial indicators that are readily quantified often do not correlate with the presence of pathogens. Pathogens of emerging concern and increasing detections of antibiotic resistance among bacterial pathogens in groundwater are topics of growing concern. Adequate removal of pathogens during soil passage is therefore critical for safe groundwater extraction. Processes that enhance pathogen transport (e.g., high velocity zones and preferential flow) and diminish pathogen removal (e.g., reversible retention and enhanced survival) are of special concern because they increase the risk of groundwater contamination, but are still incompletely understood. Improved theory and modeling tools are needed to analyze experimental data, test hypotheses, understand coupled processes and controlling mechanisms, predict spatial and/or temporal variability in model parameters and uncertainty in pathogen concentrations, assess risk, and develop mitigation and best management approaches to protect groundwater.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1501-0","usgsCitation":"Bradford, S.A., and Harvey, R.W., 2017, Future research needs involving pathogens in groundwater: Hydrogeology Journal, v. 25, no. 4, p. 931-938, https://doi.org/10.1007/s10040-016-1501-0.","productDescription":"8 p.","startPage":"931","endPage":"938","ipdsId":"IP-080143","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-02","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b791","contributors":{"authors":[{"text":"Bradford, Scott A.","contributorId":194257,"corporation":false,"usgs":false,"family":"Bradford","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189981,"text":"70189981 - 2017 - Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","interactions":[],"lastModifiedDate":"2017-08-01T07:10:19","indexId":"70189981","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","docAbstract":"Channelization for navigation and flood control has altered the hydrology and bathymetry of many large rivers with unknown consequences for fish species that undergo riverine migrations. In this study, we investigated whether altered flow distributions and bathymetry associated with channelization attracted migrating Lake Sturgeon (Acipenser fulvescens) into commercial navigation channels, potentially increasing their exposure to ship strikes. To address this question, we quantified and compared Lake Sturgeon selection for navigation channels vs. alternative pathways in two multi-channel rivers differentially affected by channelization, but free of barriers to sturgeon movement. Acoustic telemetry was used to quantify Lake Sturgeon movements. Under the assumption that Lake Sturgeon navigate by following primary flow paths, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River were expected to choose navigation channels over alternative pathways and to exhibit greater selection for navigation channels than conspecifics in the less-channelized lower St. Clair River. Consistent with these predictions, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River selected the higher-flow and deeper navigation channels over alternative migration pathways, whereas in the less-channelized lower St. Clair River, individuals primarily used pathways alternative to navigation channels. Lake Sturgeon selection for navigation channels as migratory pathways also was significantly higher in the more-channelized lower Detroit River than in the less-channelized lower St. Clair River. We speculated that use of navigation channels over alternative pathways would increase the spatial overlap of commercial vessels and migrating Lake Sturgeon, potentially enhancing their vulnerability to ship strikes. Results of our study thus demonstrated an association between channelization and the path use of migrating Lake Sturgeon that could prove important for predicting sturgeon-vessel interactions in navigable rivers as well as for understanding how fish interact with their habitat in landscapes altered by human activity.","language":"English","doi":"10.1371/journal.pone.0179791","usgsCitation":"Hondorp, D.W., Bennion, D., Roseman, E.F., Holbrook, C., Boase, J., Chiotti, J., Thomas, M.V., Wills, T.C., Drouin, R., Kessel, S.T., and Krueger, C., 2017, Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?: PLoS ONE, v. 12, no. 7, e0179791: 18 p., https://doi.org/10.1371/journal.pone.0179791.","productDescription":"e0179791: 18 p.","ipdsId":"IP-084062","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0179791","text":"Publisher Index Page"},{"id":344479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.20907592773438,\n 42.05643057984999\n ],\n [\n -83.07723999023438,\n 42.05643057984999\n ],\n [\n -83.07723999023438,\n 42.20105559753742\n ],\n [\n -83.20907592773438,\n 42.20105559753742\n ],\n [\n -83.20907592773438,\n 42.05643057984999\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.72842407226562,\n 42.48222557002593\n ],\n [\n -82.50869750976562,\n 42.48222557002593\n ],\n [\n -82.50869750976562,\n 42.64810165693524\n ],\n [\n -82.72842407226562,\n 42.64810165693524\n ],\n [\n -82.72842407226562,\n 42.48222557002593\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b78b","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Michael V.","contributorId":195401,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wills, Todd C.","contributorId":195402,"corporation":false,"usgs":false,"family":"Wills","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706984,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drouin, Richard","contributorId":70288,"corporation":false,"usgs":false,"family":"Drouin","given":"Richard","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":706985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kessel, Steven T.","contributorId":195403,"corporation":false,"usgs":false,"family":"Kessel","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":706986,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":706987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70189990,"text":"70189990 - 2017 - How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes","interactions":[],"lastModifiedDate":"2018-03-29T14:24:11","indexId":"70189990","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes","docAbstract":"The occurrence of birds in a survey unit is partly determined by the habitat present. Moreover, some bird species preferentially avoid some land cover types and are attracted to others. As such, land cover composition within the 400 m survey areas along a Breeding Bird Survey (BBS) route clearly influences the species available to be detected. Ideally, to extend survey results to the larger landscape, land cover composition within the survey area should be similar to that at larger spatial extents defining the landscape. Such representativeness helps minimize possible roadside effects (bias), here defined as differences in bird species composition and abundance along a roadside as compared to a larger surrounding landscape. We used land cover data from the 2011 National Land Cover Database to examine representativeness of land cover composition along routes. Using ArcGIS, the percentages of each of 15 land cover types within 400 m buffers along 2,696 U.S. BBS routes were calculated and compared to percentages in 2 km, 5 km, and 10 km buffers surrounding each route. This assessment revealed that aquatic cover types and highly urbanized land tend to be slightly underrepresented in the survey areas. Two anthropogenic cover types (pasture/hay and cropland) may be slightly overrepresented in the survey areas. Over all cover types, 92% of the 2,696 routes exhibited “good” representativeness, with <5 percentage points per cover type difference in proportional cover between the 400 m and 10 km buffers. This assessment further supports previous research indicating that any land-cover-based roadside bias in the bird data of the BBS is likely minimal.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-15.1","usgsCitation":"Veech, J.A., Pardieck, K.L., and Ziolkowski, D., 2017, How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes: Condor, v. 119, no. 3, p. 607-615, https://doi.org/10.1650/CONDOR-17-15.1.","productDescription":"9 p.","startPage":"607","endPage":"615","ipdsId":"IP-080236","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-15.1","text":"Publisher Index Page"},{"id":352952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee839e4b0da30c1bfc403","contributors":{"authors":[{"text":"Veech, Joseph A.","contributorId":195410,"corporation":false,"usgs":false,"family":"Veech","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziolkowski, David 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":195409,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189985,"text":"70189985 - 2017 - Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents","interactions":[],"lastModifiedDate":"2017-08-01T08:03:10","indexId":"70189985","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents","docAbstract":"Characterizing properties of the rock matrix that control retention and release of chlorinated solvents is essential in evaluating the extent of contamination and the application of remediation technologies in fractured rock. Core samples from seven closely spaced boreholes in a mudstone subject to trichloroethene (TCE) contamination were analyzed using Mercury Intrusion Porosimetry to investigate porosity and pore size distribution as a function of mudstone characteristics, and depth and lateral extent in the aquifer; organic carbon content was also evaluated to identify the potential for adsorption. Porosity and retardation factor varied over two orders of magnitude, with the largest porosities and largest retardation factors associated with carbon-rich mudstone layers. Larger porosities were also measured in the shallow rock that has been subject to enhanced groundwater flow. Porosity also varied over more than an order of magnitude in spatially continuous mudstone layers. The analyses of the rock cores indicated that the largest pore diameters may be accessible to entry of the nonaqueous form of TCE. Although the porosity associated with the largest pore diameters is small (~ 0.1%), that volume of TCE can significantly affect the total TCE that is retained in the rock matrix. The dimensions of the largest pore diameters may also be accessible to microbes responsible for reductive dechlorination; however, the small percentage of the pore space that can accommodate microbes may limit the extent of reductive dechlorination in the rock matrix.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2017.06.006","usgsCitation":"Shapiro, A.M., Evans, C.E., and Hayes, E.C., 2017, Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents: Journal of Contaminant Hydrology, v. 203, p. 70-84, https://doi.org/10.1016/j.jconhyd.2017.06.006.","productDescription":"15 p.","startPage":"70","endPage":"84","ipdsId":"IP-086579","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2017.06.006","text":"Publisher Index Page"},{"id":438253,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GX48RZ","text":"USGS data release","linkHelpText":"Data from Mercury Intrusion Porosimetry conducted on samples of a mudstone underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":438252,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71GM","text":"USGS data release","linkHelpText":"Lithologic characterization of cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":344483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819311e4b0e2f5d463b789","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Chrsitopher E.","contributorId":195406,"corporation":false,"usgs":false,"family":"Evans","given":"Chrsitopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":707001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Erin C.","contributorId":195407,"corporation":false,"usgs":false,"family":"Hayes","given":"Erin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196468,"text":"70196468 - 2017 - Integrating geographically isolated wetlands into land management decisions","interactions":[],"lastModifiedDate":"2018-05-07T10:55:59","indexId":"70196468","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Integrating geographically isolated wetlands into land management decisions","docAbstract":"Wetlands across the globe provide extensive ecosystem services. However, many wetlands – especially those surrounded by uplands, often referred to as geographically isolated wetlands (GIWs) – remain poorly protected. Protection and restoration of wetlands frequently requires information on their hydrologic connectivity to other surface waters, and their cumulative watershed‐scale effects. The integration of measurements and models can supply this information. However, the types of measurements and models that should be integrated are dependent on management questions and information compatibility. We summarize the importance of GIWs in watersheds and discuss what wetland connectivity means in both science and management contexts. We then describe the latest tools available to quantify GIW connectivity and explore crucial next steps to enhancing and integrating such tools. These advancements will ensure that appropriate tools are used in GIW decision making and maintaining the important ecosystem services that these wetlands support.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1504","usgsCitation":"Golden, H.E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M.C., McLaughlin, D.L., Alexander, L.C., Ameli, A.A., Christensen, J.R., Evenson, G.R., Jones, C.N., Lane, C., and Lang, M., 2017, Integrating geographically isolated wetlands into land management decisions: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 319-327, https://doi.org/10.1002/fee.1504.","productDescription":"9 p.","startPage":"319","endPage":"327","ipdsId":"IP-088147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6261316","text":"External Repository"},{"id":353288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f5","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":733024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":733025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":733026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Nandita","contributorId":156369,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","affiliations":[{"id":20330,"text":"Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1","active":true,"usgs":false}],"preferred":false,"id":733027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":733028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ameli, Ali A.","contributorId":204057,"corporation":false,"usgs":false,"family":"Ameli","given":"Ali","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":733031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":733033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Charles N.","contributorId":204060,"corporation":false,"usgs":false,"family":"Jones","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":733034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":733035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":733036,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70193543,"text":"70193543 - 2017 - Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-14T13:16:53","indexId":"70193543","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","docAbstract":"Understanding sampling efficiency and movements of subadult Lake Sturgeon Acipenser fulvescens is necessary to facilitate population rehabilitation and recruitment monitoring in large systems with extensive riverine and lacustrine habitats. We used a variety of sampling methods to capture subadult Lake Sturgeon (i.e., fish between 75 and 130 cm TL that had not reached sexual maturity) and monitored their movements using radio telemetry in the lower Wolf River, a tributary to the Lake Winnebago system in Wisconsin. Our objectives were to determine whether (1) capture efficiency (expressed in terms of sampling time) of subadult Lake Sturgeon using multiple sampling methods was sufficient to justify within-river sampling as part of a basin-wide recruitment survey targeting subadults, (2) linear home ranges varied in relation to season or sex, and (3) subadult Lake Sturgeon remained in the lower Wolf River. From 2013 to 2014, 628 h of combined sampling effort that included gill nets, trotlines, electrofishing, and scuba capture was required to collect 18 subadult sturgeon, which were then implanted with radio transmitters and tracked by boat and plane. Linear home ranges did not differ in relation to sex but did vary among seasons, and the majority of movement occurred in spring. Seven of the 18 (39%) Lake Sturgeon left the river and were not detected in the river again during the study. Between 56% and 70% of subadult fish remaining in the river made definitive movements to, or near, known spawning locations when adult Lake Sturgeon were actively spawning. Our results suggest only a small proportion of subadult Lake Sturgeon in the Lake Winnebago population use the lower Wolf River, indicating that riverine sampling may not always be warranted when targeting subadults in large lake–river complexes. More information is needed on distribution of subadult Lake Sturgeon to develop sampling protocols for this population segment.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1334703","usgsCitation":"Snobl, Z.R., Isermann, D.A., Koenigs, R.P., and Raabe, J.K., 2017, Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1070-1080, https://doi.org/10.1080/00028487.2017.1334703.","productDescription":"11 p.","startPage":"1070","endPage":"1080","ipdsId":"IP-082127","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lower Wolf River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.35729980468749,\n 43.75125720420175\n ],\n [\n -88.3026123046875,\n 43.75125720420175\n ],\n [\n -88.3026123046875,\n 44.797428998555645\n ],\n [\n -89.35729980468749,\n 44.797428998555645\n ],\n [\n -89.35729980468749,\n 43.75125720420175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c2","contributors":{"authors":[{"text":"Snobl, Zachary R.","contributorId":199506,"corporation":false,"usgs":false,"family":"Snobl","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenigs, Ryan P.","contributorId":191473,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192890,"text":"70192890 - 2017 - Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","interactions":[],"lastModifiedDate":"2018-01-26T11:56:26","indexId":"70192890","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"title":"Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","docAbstract":"The Colorado River Basin in Texas has experienced major alterations to its hydrologic regime due to changing land and water use patterns. These anthropogenic influences on hydrologic variability have had major implications for riparian and aquatic ecosystems and the species dependent upon them. However, impacts are often assessed at a limited temporal and spatial scale, tending to focus on relatively short and discrete periods or portions of a river basin. It is not clear how basin-wide alterations occurring over decades affect species. Guadalupe Bass Micropterus treculii are endemic to central Texas and are typically associated with shallow runs and riffles in small streams. However, Guadalupe Bass are found throughout the Colorado River Basin, including the mainstem portion of the lower river downstream of the city of Austin where they support a popular fishery. Because Guadalupe Bass exist across a wide range of stream orders within the basin, it is unclear whether populations respond similarly to anthropogenic disturbances or to conservation and restoration activities. Therefore, our objectives were to:
Results contribute to an understanding of the response of Guadalupe Bass to anthropogenic disturbances, including increased urbanization in central Texas and further assist in the conservation of the species. The ability of the population to not only persist, but flourish downstream of a heavily populated urban area presented a unique opportunity to investigate a native species response to anthropogenic disturbance. This research revealed differences in Guadalupe Bass habitat associations and movements, contrasts in age and growth, and morphological variation across a gradient of disturbance throughout the Colorado River Basin. Results of this work provide information on the potential effects of human population growth and increased water withdrawals on Guadalupe Bass populations. Additionally, this work adds to an understanding of the unique Guadalupe Bass population found in the lower Colorado River and how it differs from upstream tributary populations. Gathering additional population-level information facilitates conservation actions critical to preserving preferred habitat and promoting growth rates for Guadalupe Bass in streams of different sizes and flow conditions while highlighting interpopulation differences that may warrant consideration for stocking programs and other management strategies. Key findings of this study were: