{"pageNumber":"820","pageRowStart":"20475","pageSize":"25","recordCount":184617,"records":[{"id":70199840,"text":"70199840 - 2018 - Occupancy modeling species–environment relationships with non‐ignorable survey designs","interactions":[],"lastModifiedDate":"2018-10-02T11:16:16","indexId":"70199840","displayToPublicDate":"2018-10-01T11:16:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy modeling species–environment relationships with non‐ignorable survey designs","docAbstract":"

Statistical models supporting inferences about species occurrence patterns in relation to environmental gradients are fundamental to ecology and conservation biology. A common implicit assumption is that the sampling design is ignorable and does not need to be formally accounted for in analyses. The analyst assumes data are representative of the desired population and statistical modeling proceeds. However, if data sets from probability and non‐probability surveys are combined or unequal selection probabilities are used, the design may be non‐ignorable. We outline the use of pseudo‐maximum likelihood estimation for site‐occupancy models to account for such non‐ignorable survey designs. This estimation method accounts for the survey design by properly weighting the pseudo‐likelihood equation. In our empirical example, legacy and newer randomly selected locations were surveyed for bats to bridge a historic statewide effort with an ongoing nationwide program. We provide a worked example using bat acoustic detection/non‐detection data and show how analysts can diagnose whether their design is ignorable. Using simulations we assessed whether our approach is viable for modeling data sets composed of sites contributed outside of a probability design. Pseudo‐maximum likelihood estimates differed from the usual maximum likelihood occupancy estimates for some bat species. Using simulations we show the maximum likelihood estimator of species–environment relationships with non‐ignorable sampling designs was biased, whereas the pseudo‐likelihood estimator was design unbiased. However, in our simulation study the designs composed of a large proportion of legacy or non‐probability sites resulted in estimation issues for standard errors. These issues were likely a result of highly variable weights confounded by small sample sizes (5% or 10% sampling intensity and four revisits). Aggregating data sets from multiple sources logically supports larger sample sizes and potentially increases spatial extents for statistical inferences. Our results suggest that ignoring the mechanism for how locations were selected for data collection (e.g., the sampling design) could result in erroneous model‐based conclusions. Therefore, in order to ensure robust and defensible recommendations for evidence‐based conservation decision‐making, the survey design information in addition to the data themselves must be available for analysts. Details for constructing the weights used in estimation and code for implementation are provided.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1754","usgsCitation":"Irvine, K.M., Rodhouse, T., Wright, W.J., and Olsen, A.R., 2018, Occupancy modeling species–environment relationships with non‐ignorable survey designs: Ecological Applications, v. 28, no. 6, p. 1616-1625, https://doi.org/10.1002/eap.1754.","productDescription":"10 p.","startPage":"1616","endPage":"1625","ipdsId":"IP-088406","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468351,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc6457115","text":"External Repository"},{"id":437730,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55MPV","text":"USGS data release","linkHelpText":"Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'"},{"id":358015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-19","publicationStatus":"PW","scienceBaseUri":"5bc02f83e4b0fc368eb53871","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":746860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Wilson J. 0000-0003-4276-3850 wjwright@usgs.gov","orcid":"https://orcid.org/0000-0003-4276-3850","contributorId":198317,"corporation":false,"usgs":true,"family":"Wright","given":"Wilson","email":"wjwright@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Anthony R.","contributorId":208362,"corporation":false,"usgs":false,"family":"Olsen","given":"Anthony","email":"","middleInitial":"R.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":747118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227828,"text":"70227828 - 2018 - Wild migrations: Atlas of Wyoming's ungulates","interactions":[],"lastModifiedDate":"2022-02-01T17:10:43.351932","indexId":"70227828","displayToPublicDate":"2018-10-01T11:07:33","publicationYear":"2018","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Wild migrations: Atlas of Wyoming's ungulates","docAbstract":"

No abstract available.

","language":"English","publisher":"Oregon State University Press","usgsCitation":"Rudd, W.J., Kauffman, M., Meacham, J., Sawyer, H., Ostlind, E., and Steingisser, A., 2018, Wild migrations: Atlas of Wyoming's ungulates, 208 p.","productDescription":"208 p.","ipdsId":"IP-093026","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.03881835937499,\n 41.0130657870063\n ],\n [\n -104.029541015625,\n 41.0130657870063\n ],\n [\n -104.029541015625,\n 44.98811302615805\n ],\n [\n -111.03881835937499,\n 44.98811302615805\n ],\n [\n -111.03881835937499,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rudd, William J.","contributorId":273041,"corporation":false,"usgs":false,"family":"Rudd","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meacham, James","contributorId":244696,"corporation":false,"usgs":false,"family":"Meacham","given":"James","email":"","affiliations":[],"preferred":false,"id":832505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":832506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostlind, Emilene","contributorId":273042,"corporation":false,"usgs":false,"family":"Ostlind","given":"Emilene","email":"","affiliations":[],"preferred":false,"id":832507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steingisser, Alethea","contributorId":201403,"corporation":false,"usgs":false,"family":"Steingisser","given":"Alethea","email":"","affiliations":[],"preferred":false,"id":832508,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200932,"text":"70200932 - 2018 - A geostatistical state‐space model of animal densities for stream networks","interactions":[],"lastModifiedDate":"2018-11-16T11:06:33","indexId":"70200932","displayToPublicDate":"2018-10-01T11:06:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A geostatistical state‐space model of animal densities for stream networks","docAbstract":"

Population dynamics are often correlated in space and time due to correlations in environmental drivers as well as synchrony induced by individual dispersal. Many statistical analyses of populations ignore potential autocorrelations and assume that survey methods (distance and time between samples) eliminate these correlations, allowing samples to be treated independently. If these assumptions are incorrect, results and therefore inference may be biased and uncertainty underestimated. We developed a novel statistical method to account for spatiotemporal correlations within dendritic stream networks, while accounting for imperfect detection in the surveys. Through simulations, we found this model decreased predictive error relative to standard statistical methods when data were spatially correlated based on stream distance and performed similarly when data were not correlated. We found that increasing the number of years surveyed substantially improved the model accuracy when estimating spatial and temporal correlation coefficients, especially from 10 to 15 yr. Increasing the number of survey sites within the network improved the performance of the nonspatial model but only marginally improved the density estimates in the spatiotemporal model. We applied this model to brook trout data from the West Susquehanna Watershed in Pennsylvania collected over 34 yr from 1981 to 2014. We found the model including temporal and spatiotemporal autocorrelation best described young of the year (YOY) and adult density patterns. YOY densities were positively related to forest cover and negatively related to spring temperatures with low temporal autocorrelation and moderately high spatiotemporal correlation. Adult densities were less strongly affected by climatic conditions and less temporally variable than YOY but with similar spatiotemporal correlation and higher temporal autocorrelation.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1767","usgsCitation":"Hocking, D., Thorson, J.T., O’Neil, K., and Letcher, B., 2018, A geostatistical state‐space model of animal densities for stream networks: Ecological Applications, v. 28, no. 7, p. 1782-1796, https://doi.org/10.1002/eap.1767.","productDescription":"15 p.","startPage":"1782","endPage":"1796","ipdsId":"IP-098139","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468352,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53438","text":"External Repository"},{"id":359510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5befe5bce4b045bfcadf7f3e","contributors":{"authors":[{"text":"Hocking, Daniel J.","contributorId":210650,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel J.","affiliations":[{"id":38122,"text":"University of MD","active":true,"usgs":false}],"preferred":false,"id":751374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorson, James T.","contributorId":146580,"corporation":false,"usgs":false,"family":"Thorson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":751375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neil, Kyle","contributorId":210652,"corporation":false,"usgs":false,"family":"O’Neil","given":"Kyle","email":"","affiliations":[{"id":38124,"text":"University of MA","active":true,"usgs":false}],"preferred":false,"id":751376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":167313,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228121,"text":"70228121 - 2018 - Migration trends for king and common eiders and yellow-billed loons past Point Barrow in a rapidly changing environment","interactions":[],"lastModifiedDate":"2022-02-04T17:12:30.916117","indexId":"70228121","displayToPublicDate":"2018-10-01T11:05:32","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"BOEM 2018-059","title":"Migration trends for king and common eiders and yellow-billed loons past Point Barrow in a rapidly changing environment","docAbstract":"

Most of the king (Somateria spectabilis) and common eiders (S. mollissima v-nigra) nesting in northern Alaska and northwestern Canada migrate past Point Barrow, Alaska, during the spring and fall migration. Yellow-billed loons (Gavia adamsii) also migrate past Point Barrow and are a species of international conservation concern. Spring migration counts of eiders have been conducted approximately every ten years at Point Barrow since 1976, and indicated that both eider species experienced population declines of approximately 50% between 1976 and 1996, and that the declines had stabilized by 2004. Population estimates derived from migration counts have not been previously estimated for yellow-billed loons. We conducted spring counts of eiders and loons in 2015 and 2016 to obtain population estimates to compare with those from 1994, 1995, 2003, and 2004 in order to evaluate long-term and current trends. We estimated (95% confidence intervals) that 796,419 (304,011) king and 96,775 (39,913) common eiders passed Point Barrow in 2015, and 322,381 (145,833) king and 130,390 (34,548) common eiders passed Point Barrow in 2016. Both and king and common eider population estimates increased from 1994 through 2016, however, the increase over time was not significant (F < 5.07, P > 0.087, df = 1). Our population estimates for king eiders were very different between the two years of this study, possibly due to a very short and intense migration peak in 2016, resulting in a population count that was biased low because sampling periods did not adequately capture the peak of migration. The numbers of common eiders were similar between the two years, as well as for the 12 years since the previous count. Photo analysis of flocks indicated that observer counts were on average 4% lower than photo counts (paired t-test; |t| = 3.26, df = 297, P < 0.001) for flocks less than 1400 individuals (observer count). Estimates of yellow-billed loon populations were very variable and are biased low as numbers of loons passing Pt. Barrow were still high when our counts ended in late May. It is important that counts continue to be conducted for these species of conservation and subsistence importance, but that techniques be refined to reduce bias and variability, and to find solutions to the increasing difficulty of conducting a count from the shore-fast ice in spring.

","language":"English","publisher":"Bureau of Ocean Energy Management","usgsCitation":"Powell, A., Bentzen, R., and Suydam, R., 2018, Migration trends for king and common eiders and yellow-billed loons past Point Barrow in a rapidly changing environment: Final Report BOEM 2018-059, iii, 19 p.","productDescription":"iii, 19 p.","ipdsId":"IP-097667","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395445,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.boem.gov/sites/default/files/boem-newsroom/Library/Publications/2018/BOEM2018-059.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Point Barrow","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.0330810546875,\n 71.23287161628951\n ],\n [\n -156.24755859375,\n 71.23287161628951\n ],\n [\n -156.24755859375,\n 71.52839020407738\n ],\n [\n -157.0330810546875,\n 71.52839020407738\n ],\n [\n -157.0330810546875,\n 71.23287161628951\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentzen, R.","contributorId":274625,"corporation":false,"usgs":false,"family":"Bentzen","given":"R.","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":833169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suydam, R.","contributorId":243090,"corporation":false,"usgs":false,"family":"Suydam","given":"R.","email":"","affiliations":[{"id":48637,"text":"North Slope Borough","active":true,"usgs":false}],"preferred":false,"id":833170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200417,"text":"70200417 - 2018 - Floristic and climatic reconstructions of two Lower Cretaceous successions from Peru","interactions":[],"lastModifiedDate":"2018-10-17T11:02:05","indexId":"70200417","displayToPublicDate":"2018-10-01T11:02:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3006,"text":"Palynology","active":true,"publicationSubtype":{"id":10}},"title":"Floristic and climatic reconstructions of two Lower Cretaceous successions from Peru","docAbstract":"

Climate during the Early Cretaceous in tropical South America has often been reconstructed as arid. However, some areas seem to have been humid. We reconstructed the floristic composition of two tropical stratigraphic successions in Peru using quantitative palynology (rarefied species richness and abundance), and used the abundance of aridity vs. humidity indicator species to infer the predominant climate conditions of this region. The Berriasian to Hauterivian La Merced succession was dominated by fern spores and was predominantly humid. The Albian Aguas Frias succession yielded rich palynofloras, with 127 species, and also indicates predominantly humid conditions. These results support the hypothesis that the west margin of South America was humid during the Early Cretaceous, thus improving the tropical climate reconstructions during the Cretaceous severe global warming episodes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01916122.2017.1373310","usgsCitation":"Mejia-Velasquez, P.J., Manchester, S.R., Jaramillo, C.A., Quiroz, L., and Fortini, L.B., 2018, Floristic and climatic reconstructions of two Lower Cretaceous successions from Peru: Palynology, v. 42, no. 3, p. 420-433, https://doi.org/10.1080/01916122.2017.1373310.","productDescription":"14 p.","startPage":"420","endPage":"433","ipdsId":"IP-090469","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":490054,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Floristic_and_climatic_reconstructions_of_two_Lower_Cretaceous_successions_from_Peru/5501638","text":"External Repository"},{"id":358476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","volume":"42","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-16","publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e5088","contributors":{"authors":[{"text":"Mejia-Velasquez, Paula J.","contributorId":209758,"corporation":false,"usgs":false,"family":"Mejia-Velasquez","given":"Paula","email":"","middleInitial":"J.","affiliations":[{"id":37977,"text":"University of Hawaii – Leeward Community College","active":true,"usgs":false}],"preferred":false,"id":748747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manchester, Steven R.","contributorId":209759,"corporation":false,"usgs":false,"family":"Manchester","given":"Steven","email":"","middleInitial":"R.","affiliations":[{"id":37978,"text":"Florida Museum of Natural History and Biology Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":748748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaramillo, Carlos A.","contributorId":209760,"corporation":false,"usgs":false,"family":"Jaramillo","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":12671,"text":"Smithsonian Tropical Research Institute","active":true,"usgs":false}],"preferred":false,"id":748749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quiroz, Luiz","contributorId":209761,"corporation":false,"usgs":false,"family":"Quiroz","given":"Luiz","email":"","affiliations":[{"id":37979,"text":"Dept. of Geological Sciences, University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":748750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":748746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202476,"text":"70202476 - 2018 - Long-term rehabilitation of Delavan Lake, Wisconsin, USA","interactions":[],"lastModifiedDate":"2020-10-22T20:31:25.916752","indexId":"70202476","displayToPublicDate":"2018-10-01T10:53:57","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Long-term rehabilitation of Delavan Lake, Wisconsin, USA","docAbstract":"

No abstract available. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Lake restoration handbook: A New Zealand perspective","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","usgsCitation":"Robertson, D.M., 2018, Long-term rehabilitation of Delavan Lake, Wisconsin, USA, chap. of Lake restoration handbook: A New Zealand perspective, p. 131-133.","productDescription":"3 p.","startPage":"131","endPage":"133","ipdsId":"IP-081276","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":361874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379664,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/gp/book/9783319930428"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Delavan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.58345031738281,\n 42.614885927918685\n ],\n [\n -88.56353759765625,\n 42.63635819687411\n ],\n [\n -88.57709884643555,\n 42.633074682541015\n ],\n [\n -88.58551025390624,\n 42.627896481020855\n ],\n [\n -88.58551025390624,\n 42.62435990071571\n ],\n [\n -88.60061645507812,\n 42.62688605000682\n ],\n [\n -88.62550735473633,\n 42.614633268911696\n ],\n [\n -88.61623764038086,\n 42.610843260801005\n ],\n [\n -88.60679626464844,\n 42.61551757095158\n ],\n [\n -88.6098861694336,\n 42.610337908960524\n ],\n [\n -88.61726760864258,\n 42.6064212931765\n ],\n [\n -88.6270523071289,\n 42.60010365202599\n ],\n [\n -88.65365982055664,\n 42.59214251204963\n ],\n [\n -88.63409042358398,\n 42.578871685346364\n ],\n [\n -88.59477996826172,\n 42.601367231506835\n ],\n [\n -88.58345031738281,\n 42.614885927918685\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hamilton, D.","contributorId":54316,"corporation":false,"usgs":true,"family":"Hamilton","given":"D.","affiliations":[],"preferred":false,"id":759050,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Collier, K.","contributorId":214062,"corporation":false,"usgs":false,"family":"Collier","given":"K.","affiliations":[],"preferred":false,"id":759051,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Quinn, J.","contributorId":214063,"corporation":false,"usgs":false,"family":"Quinn","given":"J.","affiliations":[],"preferred":false,"id":759052,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Howard-Williams, C.","contributorId":214064,"corporation":false,"usgs":false,"family":"Howard-Williams","given":"C.","affiliations":[],"preferred":false,"id":759053,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":204668,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758765,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200423,"text":"70200423 - 2018 - Juke Box trench: A valuable archive of late Pleistocene and Holocene stratigraphy in the Bonneville basin, Utah","interactions":[],"lastModifiedDate":"2018-10-17T10:52:03","indexId":"70200423","displayToPublicDate":"2018-10-01T10:51:57","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5627,"text":"Miscellaneous Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"18-1","title":"Juke Box trench: A valuable archive of late Pleistocene and Holocene stratigraphy in the Bonneville basin, Utah","docAbstract":"

A backhoe trench in deposits of Pleistocene Lake Bonneville and Holocene wetlands below the mouth of Juke Box Cave, near Wendover, Utah, provides an excellent view of the late Pleistocene and Holocene geologic history of the area. The following stratigraphic units are exposed (ascending): preBonneville gravel (fluvial or lacustrine) and oolitic sand (ages greater than 30,000 yr B.P.); Lake Bonneville marl (30,000 to ~13,000 yr B.P.); an unconformity stratigraphically above the Bonneville marl marked by lacustrine gravel of probable Gilbert-episode age (~11,500 yr B.P.); and poorly sorted sand and carbonate mud deposited in post-Bonneville spring-fed wetlands. The wetland deposits include layers of poorly sorted sand, peat composed of bulrush remains and other organic-rich muds, and the Mazama volcanic ash (~7600 yr B.P.). Four calibrated 14C ages suggest the wetland deposits span nearly the entire Holocene, from about 10,700 to at least 1200 yr B.P. The spring and wetland are now dry.

","language":"English","publisher":"Utah Geological Survey","usgsCitation":"Oviatt, C.G., Pigati, J.S., Madsen, D.B., Rhode, D.E., and Bright, J., 2018, Juke Box trench: A valuable archive of late Pleistocene and Holocene stratigraphy in the Bonneville basin, Utah: Miscellaneous Publication 18-1, 34 p.","productDescription":"34 p.","ipdsId":"IP-092966","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":358474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358473,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://ugspub.nr.utah.gov/publications/misc_pubs/mp-18-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","otherGeospatial":"Bonneville Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0333,\n 40.7333\n ],\n [\n -113.9667,\n 40.7333\n ],\n [\n -113.9667,\n 40.7667\n ],\n [\n -114.0333,\n 40.7667\n ],\n [\n -114.0333,\n 40.7333\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e508c","contributors":{"authors":[{"text":"Oviatt, Charles G.","contributorId":36580,"corporation":false,"usgs":false,"family":"Oviatt","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":748768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madsen, David B.","contributorId":191727,"corporation":false,"usgs":false,"family":"Madsen","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":748769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhode, David E.","contributorId":209765,"corporation":false,"usgs":false,"family":"Rhode","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":748770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, Jordon","contributorId":76010,"corporation":false,"usgs":true,"family":"Bright","given":"Jordon","affiliations":[],"preferred":false,"id":748796,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199829,"text":"70199829 - 2018 - Induced earthquake and liquefaction hazards in Oklahoma, USA: Constraints from InSAR","interactions":[],"lastModifiedDate":"2018-10-01T10:48:46","indexId":"70199829","displayToPublicDate":"2018-10-01T10:48:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Induced earthquake and liquefaction hazards in Oklahoma, USA: Constraints from InSAR","docAbstract":"

Oklahoma experienced three earthquakes of Mw5.0 or greater in 2016: the 13-Feb. Fairview earthquake (Mw5.1), the 03-Sep. Pawnee earthquake (Mw5.8), and the 07-Nov. Cushing earthquake (Mw5.0). These events are the first earthquakes in the state exceeding Mw5.0 since the 2011 Mw5.7 Prague earthquake and likely result from wide-scale deep fluid-injection. We use interferometric synthetic aperture radar (InSAR) observations to quantify the magnitude and location of surface deformation associated with these three events, determine the depth ranges of fault slip, and assess the spatial relationship between fault slip and well-calibrated mainshock and aftershock locations. We also include newly reported, calibrated event locations for the Cushing earthquake. We find that the Pawnee earthquake ruptured within the crystalline basement with the shallowest slip occurring at depths of 3.1–4.3 km. We find a similar, though shallower, crystalline basement source for the Cushing earthquake with a minimum depth to slip of 1.6–2.3 km. Despite the smaller magnitude of the Cushing earthquake, it generated anomalously high ground motions and damage compared to the larger Pawnee and Fairview earthquakes. We postulate that the shallow source of the Cushing earthquakes provides one explanation for the higher than expected ground motions. The Fairview earthquake generated no detectable co-seismic displacements, which is consistent with a relatively deep earthquake source (~8.5 km). We do, however, identify a 16 km stretch of floodplain where widespread liquefaction occurred in response to the Fairview earthquake, and where 30 gas production wells were exposed to surface displacements exceeding 5 cm. Consequently, the depth to crystalline basement, which limits the depth of injection-induced earthquakes in Oklahoma, and the potential for liquefaction are important factors in assessing shaking risk in the central United States.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2018.09.005","usgsCitation":"Barnhart, W., Yeck, W.L., and McNamara, D.E., 2018, Induced earthquake and liquefaction hazards in Oklahoma, USA: Constraints from InSAR: Remote Sensing of Environment, v. 218, p. 1-12, https://doi.org/10.1016/j.rse.2018.09.005.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-092651","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468353,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2018.09.005","text":"Publisher Index Page"},{"id":357942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 34\n ],\n [\n -96,\n 34\n ],\n [\n -96,\n 37\n ],\n [\n -100,\n 37\n ],\n [\n -100,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"218","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f84e4b0fc368eb53873","contributors":{"authors":[{"text":"Barnhart, William D. 0000-0003-0498-1697","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":192730,"corporation":false,"usgs":false,"family":"Barnhart","given":"William D.","affiliations":[],"preferred":false,"id":746822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":746823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":746824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199808,"text":"70199808 - 2018 - Economics, helium, and the U.S. Federal Helium Reserve: Summary and outlook","interactions":[],"lastModifiedDate":"2018-10-01T10:44:29","indexId":"70199808","displayToPublicDate":"2018-10-01T10:44:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Economics, helium, and the U.S. Federal Helium Reserve: Summary and outlook","docAbstract":"

In 2017, disruptions in the global supply of helium reminded consumers, distributors, and policy makers that the global helium supply chain lacks flexibility, and that attempts to increase production from the U.S. Federal Helium Reserve (the FHR) may not be able to compensate for the loss of one of the few major producers in the world. Issues with U.S. and global markets for helium include inelastic demand, economic availability of helium only as a byproduct, only 4–5 major producers, helium’s propensity to escape earth’s crust, an ongoing absence of storage facilities comparable to the FHR, and a lack of consequences for the venting of helium. The complex combination of these economic, physical, and regulatory issues is unique to helium, and determining helium’s practical availability goes far beyond estimating the technically accessible volume of underground resources. Although most of these issues have been analyzed since helium was recognized to be a valuable mineral commodity in the early 1900s, very few economic models have been developed that adequately consider the unique characteristics of helium and helium markets. In particular, there is a notable lack of recent empirical work to estimate the responsiveness of helium demand, supply, prices, and trade patterns to the ongoing drawdown and sale of helium reserves stored in the FHR. In general, existing models of helium either do not account for an oligopoly controlling supply, or they do not evaluate potential helium extraction and storage programs based on an intertemporal maximization of the value of the resource. Such models could be of very limited use to decision makers. This review found only one working paper with a helium market model that has incorporated both of these vital considerations. That and other economic studies along similar lines could be very useful in helping inform current helium policy discussions and decisions.

","language":"English","publisher":"Springer","doi":"10.1007/s11053-017-9359-y","usgsCitation":"Anderson, S.T., 2018, Economics, helium, and the U.S. Federal Helium Reserve: Summary and outlook: Natural Resources Research, v. 27, no. 4, p. 455-477, https://doi.org/10.1007/s11053-017-9359-y.","productDescription":"23 p.","startPage":"455","endPage":"477","ipdsId":"IP-080164","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":460835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-017-9359-y","text":"Publisher Index Page"},{"id":357940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-05","publicationStatus":"PW","scienceBaseUri":"5bc02f84e4b0fc368eb53875","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746709,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199815,"text":"70199815 - 2018 - Quantifying climate sensitivity and climate-driven change in North American amphibian communities","interactions":[],"lastModifiedDate":"2020-09-02T12:53:39.330782","indexId":"70199815","displayToPublicDate":"2018-10-01T10:43:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying climate sensitivity and climate-driven change in North American amphibian communities","docAbstract":"

Changing climate will impact species’ ranges only when environmental variability directly impacts the demography of local populations. However, measurement of demographic responses to climate change has largely been limited to single species and locations. Here we show that amphibian communities are responsive to climatic variability, using >500,000 time-series observations for 81 species across 86 North American study areas. The effect of climate on local colonization and persistence probabilities varies among eco-regions and depends on local climate, species life-histories, and taxonomic classification. We found that local species richness is most sensitive to changes in water availability during breeding and changes in winter conditions. Based on the relationships we measure, recent changes in climate cannot explain why local species richness of North American amphibians has rapidly declined. However, changing climate does explain why some populations are declining faster than others. Our results provide important insights into how amphibians respond to climate and a general framework for measuring climate impacts on species richness.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-06157-6","usgsCitation":"Miller, D., Campbell Grant, E.H., Muths, E.L., Amburgey, S.M., Adams, M.J., Joseph, M.B., Waddle, J.H., Johnson, P.T., Ryan, M.E., Schmidt, B.R., Calhoun, D.L., Davis, C.L., Fisher, R.N., Green, D.M., Hossack, B.R., Rittenhouse, T.A., Walls, S.C., Bailey, L.L., Cruickshank, S.S., Fellers, G.M., Gorman, T.A., Haas, C.A., Hughson, W., Pilliod, D.S., Price, S.J., Ray, A.M., Sadinski, W., Saenz, D., Barichivich, W.J., Brand, A.B., Brehme, C.S., Dagit, R., Delaney, K.S., Glorioso, B.M., Kats, L.B., Kleeman, P.M., Pearl, C., Rochester, C.J., Riley, S.P., Roth, M.F., and Sigafus, B., 2018, Quantifying climate sensitivity and climate-driven change in North American amphibian communities: Nature Communications, v. 9, 3926, 15 p., https://doi.org/10.1038/s41467-018-06157-6.","productDescription":"3926, 15 p.","ipdsId":"IP-075372","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":468354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-06157-6","text":"Publisher Index Page"},{"id":357937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-25","publicationStatus":"PW","scienceBaseUri":"5bc02f85e4b0fc368eb53877","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":198461,"corporation":false,"usgs":false,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":746731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":746730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":746732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":746733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. 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As part of local wellhead protection area programs, areas
contributing water to production wells need to be periodically
updated because groundwater-flow paths depend in part on
the stresses to the groundwater-flow system. A steady-state
groundwater-flow model that was constructed in 2009 was
updated to reflect recent (2017) pumping conditions in the
Lansing and East Lansing area in the Tri-County region, Michigan.
For this current (2017) study, withdrawals from selected
production wells were updated, and the existing model calibration
under the new pumping conditions was checked. Results
of flow simulations indicate that 10-year time-of-travel areas
cover approximately 25 square miles and 40-year time-oftravel
areas cover approximately 51 square miles.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181133","collaboration":"Prepared in cooperation with the Lansing Board of Water and Light","usgsCitation":"Luukkonen, C.L., 2018, Delineation of contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan: U.S. Geological Survey Open-File Report 2018–1133, 11 p., https://doi.org/10.3133/ofr20181133.","productDescription":"Report: v, 11 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096742","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":357821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1133/ofr20181133.pdf","text":"Report","size":"1.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1133"},{"id":357822,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZY1H06","text":"USGS data release","description":"USGS data release"},{"id":357820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1133/coverthb.jpg"}],"country":"United States","state":"Michigan","county":"Ingham County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.0726318359375,\n 42.40115038362433\n ],\n [\n -83.64990234375,\n 42.40115038362433\n ],\n [\n -83.64990234375,\n 43.18114705939968\n ],\n [\n -85.0726318359375,\n 43.18114705939968\n ],\n [\n -85.0726318359375,\n 42.40115038362433\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way Suite 5
Lansing, MI 48911

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-10-01","noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","scienceBaseUri":"5bc02f85e4b0fc368eb53879","contributors":{"authors":[{"text":"Luukkonen, Carol L. 0000-0001-7056-8599","orcid":"https://orcid.org/0000-0001-7056-8599","contributorId":207254,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743321,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202695,"text":"70202695 - 2018 - Vegetative community response to landscape-scale post-fire herbicide (imazapic) application","interactions":[],"lastModifiedDate":"2019-03-19T16:52:32","indexId":"70202695","displayToPublicDate":"2018-10-01T10:14:31","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Vegetative community response to landscape-scale post-fire herbicide (imazapic) application","docAbstract":"

Disturbances such as wildfire create time-sensitive windows of opportunity for invasive plant treatment, and the timing of herbicide application relative to the time course of plant community development following fire can strongly influence herbicide effectiveness. We evaluated the effect of herbicide (imazapic) applied in the first winter or second fall after the 113,000 ha Soda wildfire on the target exotic annual grasses and also key non-target components of the plant community. We measured responses of exotic and native species cover, species diversity, and occurrence frequency of shrubs and forbs seeded before (1 to 2 or 9 to 10 mo) herbicide application. Additionally, we asked whether landscape factors, including topography, species richness, and/or soil characteristics, influenced the effectiveness of imazapic. Cover of exotic annual grass cover, but not of deep-rooted perennial bunchgrass, was less where imazapic had been applied, whereas more variability was evident in the response of Sandberg bluegrass (Poa secunda J. Presl) and seeded shrubs and forbs. Regression-tree analysis of the subset of plots measured both before and after the second fall application revealed greater reductions of exotic annual grass cover in places where their cover was <42% before spraying. Otherwise, imazapic effects did not vary with the landscape factors we analyzed.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/inp.2018.18","usgsCitation":"Applestein, C., Germino, M., and Fisk, M., 2018, Vegetative community response to landscape-scale post-fire herbicide (imazapic) application: Invasive Plant Science and Management, v. 11, no. 3, p. 127-135, https://doi.org/10.1017/inp.2018.18.","productDescription":"9 p.","startPage":"127","endPage":"135","ipdsId":"IP-093760","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":362173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":759523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":759522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisk, Matthew 0000-0002-2250-0116","orcid":"https://orcid.org/0000-0002-2250-0116","contributorId":205749,"corporation":false,"usgs":true,"family":"Fisk","given":"Matthew","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":759524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203155,"text":"70203155 - 2018 - Great Lakes coastal fish habitat classification and assessment","interactions":[],"lastModifiedDate":"2019-06-27T08:04:17","indexId":"70203155","displayToPublicDate":"2018-10-01T09:49:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes coastal fish habitat classification and assessment","docAbstract":"

Basin-scale assessment of fish habitat in Great Lakes coastal ecosystems would increase our ability to prioritize fish habitat management and restoration actions. As a first step in this direction, we identified key habitat factors associated with highest probability of occurrence for several societally and ecologically important coastal fish species as well as community metrics, using data from the Great Lakes Aquatic Habitat Framework (GLAHF), Great Lakes Environmental Indicators (GLEI) and Coastal Wetland Monitoring Program (CWMP). Secondly, we assessed whether species-specific habitat was threatened by watershed-level anthropogenic stressors. In the southern Great Lakes, key habitat factors for determining presence/absence of several species of coastal fish were chlorophyll concentrations, turbidity, and wave height, whereas in the northern ecoprovince temperature was the major habitat driver for most of the species modeled. Habitat factors best explaining fish richness and diversity were bottom slope and chlorophyll a. These models could likely be further improved with addition of high-resolution submerged macrophytecomplexity data which are currently unavailable at the basin-wide scale. Proportion of invasive species was correlated primarily with increasing maximum observed inorganic turbidity and chlorophyll a. We also demonstrate that preferred habitat for several coastal species and high-diversity areas overlap with areas of high watershed stress. Great Lakes coastal wetland fish are a large contributor to ecosystem services as well as commercial and recreational fishery harvest, and scalable basin-wide habitat models developed in this study may be useful for informing management actions targeting specific species or overall coastal fish biodiversity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.07.007","usgsCitation":"Kovalenko, K.E., L.B. Johnson, Riseng, C.M., Cooper, M.J., Johnson, K., L. A. Mason, McKenna, J.E., Sparks-Jackson, B.L., and D.G. Uzarski, 2018, Great Lakes coastal fish habitat classification and assessment: Journal of Great Lakes Research, v. 44, no. 5, p. 1100-1109, https://doi.org/10.1016/j.jglr.2018.07.007.","productDescription":"10 p.","startPage":"1100","endPage":"1109","ipdsId":"IP-099461","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":363174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n 40\n ],\n [\n -74,\n 40\n ],\n [\n -74,\n 49.5\n ],\n [\n -92,\n 49.5\n ],\n [\n -92,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kovalenko, K. E.","contributorId":215010,"corporation":false,"usgs":false,"family":"Kovalenko","given":"K.","email":"","middleInitial":"E.","affiliations":[{"id":32419,"text":"U. of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"L.B. Johnson","contributorId":215011,"corporation":false,"usgs":false,"family":"L.B. Johnson","affiliations":[{"id":32419,"text":"U. of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riseng, C. M.","contributorId":215012,"corporation":false,"usgs":false,"family":"Riseng","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":39155,"text":"U. of Michigan","active":true,"usgs":false}],"preferred":false,"id":761418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, M. J.","contributorId":215013,"corporation":false,"usgs":false,"family":"Cooper","given":"M.","email":"","middleInitial":"J.","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":761419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, K.","contributorId":215014,"corporation":false,"usgs":false,"family":"Johnson","given":"K.","email":"","affiliations":[{"id":32419,"text":"U. of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"L. A. Mason","contributorId":215015,"corporation":false,"usgs":false,"family":"L. A. Mason","affiliations":[{"id":39155,"text":"U. of Michigan","active":true,"usgs":false}],"preferred":false,"id":761421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":761415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sparks-Jackson, B. L.","contributorId":215016,"corporation":false,"usgs":false,"family":"Sparks-Jackson","given":"B.","email":"","middleInitial":"L.","affiliations":[{"id":39155,"text":"U. of Michigan","active":true,"usgs":false}],"preferred":false,"id":761422,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"D.G. Uzarski","contributorId":215017,"corporation":false,"usgs":false,"family":"D.G. Uzarski","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":761423,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227750,"text":"70227750 - 2018 - Persistence-based area prioritization for conservation: Applying occupancy and habitat threats and risks analyses","interactions":[],"lastModifiedDate":"2022-01-28T15:30:42.063646","indexId":"70227750","displayToPublicDate":"2018-10-01T09:24:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Persistence-based area prioritization for conservation: Applying occupancy and habitat threats and risks analyses","docAbstract":"

Effective habitat conservation is predicated on maintaining high levels or increasing local persistence probability of the species it purports to protect. Thus, methodological approaches that improve the inferential value of local persistence are of utmost value to guide conservation planning as they inform area selection processes. Herein we used the painted bunting Passerina ciris, a species of conservation interest in North Carolina, as an illustrative case that combined single-season, single-species occupancy analyses and a threats and risk decision support tool to rank five areas of conservation interest in terms of local persistence probability. We used survey data from two seasons (2008–2009) grouped into 21 natal dispersal sampling units and land-cover data from 12 habitat classes to establish the relationship between local occupancy probability and habitat. Occupancy increased most strongly with increasing amount of maritime forest. Projections to year 2050, relative to year 2000, indicated that a potential loss of maritime forest of 200–1,300 ha, depending on the area of interest. Projected loss was lowest at Bald Head Island–Wilmington (2%) and highest at Camp Lejune (27%). Bald Head Island–Wilmington ranked highest in projected local persistence probability (0.91; 95% confidence interval [CI] = 0.53–0.99), whereas Top Sail–Hammocks Beach Park ranked lowest (0.28; 95% CI = 0.03–0.82). Estimates of local persistence offer decision-makers another criterion to prioritize areas for conservation and help guide efforts aimed at maintaining or enhancing local persistence. These include in situ habitat management, expanding or connecting existing areas of interest. In the future, we recommend the use of multiseason occupancy models, coupled with measures of uncertainty of land-cover projections, to strengthen inferences about local persistence, particularly useful in nonstationary landscapes driven by human activities.

","language":"English","publisher":"Allen Press","doi":"10.3996/112017-JFWM-089","usgsCitation":"Yirka, L., Collazo, J.A., Williams, S.G., and Cobb, D.T., 2018, Persistence-based area prioritization for conservation: Applying occupancy and habitat threats and risks analyses: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 554-564, https://doi.org/10.3996/112017-JFWM-089.","productDescription":"11 p.","startPage":"554","endPage":"564","ipdsId":"IP-091420","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112017-jfwm-089","text":"Publisher Index Page"},{"id":395051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.6126708984375,\n 33.80197351806589\n ],\n [\n -76.53350830078125,\n 33.80197351806589\n ],\n [\n -76.53350830078125,\n 34.87015842600913\n ],\n [\n -78.6126708984375,\n 34.87015842600913\n ],\n [\n -78.6126708984375,\n 33.80197351806589\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Yirka, L. M.","contributorId":272521,"corporation":false,"usgs":false,"family":"Yirka","given":"L. M.","affiliations":[{"id":48918,"text":"North Carolina Museum of Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":832034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, S. G.","contributorId":272522,"corporation":false,"usgs":false,"family":"Williams","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":832036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cobb, D. T.","contributorId":272523,"corporation":false,"usgs":false,"family":"Cobb","given":"D.","email":"","middleInitial":"T.","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":832037,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228869,"text":"70228869 - 2018 - Resistance to deltamethrin in prairie dog (Cynomys ludovicianus) fleas in the field and in the laboratory","interactions":[],"lastModifiedDate":"2022-02-23T15:10:58.327704","indexId":"70228869","displayToPublicDate":"2018-10-01T08:45:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resistance to deltamethrin in prairie dog (Cynomys ludovicianus) fleas in the field and in the laboratory","title":"Resistance to deltamethrin in prairie dog (Cynomys ludovicianus) fleas in the field and in the laboratory","docAbstract":"

Sylvatic plague poses a substantial risk to black-tailed prairie dogs (Cynomys ludovicianus) and their obligate predator, the black-footed ferret (Mustela nigripes). The effects of plague on prairie dogs and ferrets are mitigated using a deltamethrin pulicide dust that reduces the spread of plague by killing fleas, the vector for the plague bacterium. In portions of Conata Basin, Buffalo Gap National Grassland, and Badlands National Park, South Dakota, US, 0.05% deltamethrin has been infused into prairie dog burrows on an annual basis since 2005. We aimed to determine if fleas (Oropsylla hirsuta) in portions of the Conata Basin and Badlands National Park have evolved resistance to deltamethrin. We assessed flea prevalence, obtained by combing prairie dogs for fleas, as an indirect measure of resistance. Dusting was ineffective in two colonies treated with deltamethrin for >8 yr; flea prevalence rebounded within 1 mo of dusting. We used a bioassay that exposed fleas to deltamethrin to directly evaluate resistance. Fleas from colonies with >8 yr of exposure to deltamethrin exhibited survival rates that were 15% to 83% higher than fleas from sites that had never been dusted. All fleas were paralyzed or dead after 55 min. After removal from deltamethrin, 30% of fleas from the dusted colonies recovered, compared with 1% of fleas from the not-dusted sites. Thus, deltamethrin paralyzed fleas from colonies with long-term exposure to deltamethrin, but a substantial number of those fleas was resistant and recovered. Flea collections from live-trapped prairie dogs in Thunder Basin National Grassland, Wyoming, US, suggest that, in some cases, fleas might begin to develop a moderate level of resistance to deltamethrin after 5–6 yr of annual treatments. Restoration of black-footed ferrets and prairie dogs will rely on an adaptive, integrative approach to plague management, for instance involving the use of vaccines and rotating applications of insecticidal products with different active ingredients.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-10-250","usgsCitation":"Eads, D.A., Biggins, D.E., Bowser, J., McAllister, J., Griebel, R., Childers, E., Livieri, T.M., Painter, C., Sterling Krank, L., and Bly, K., 2018, Resistance to deltamethrin in prairie dog (Cynomys ludovicianus) fleas in the field and in the laboratory: Journal of Wildlife Diseases, v. 54, no. 4, p. 745-754, https://doi.org/10.7589/2017-10-250.","productDescription":"10 p.","startPage":"745","endPage":"754","ipdsId":"IP-089457","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":460837,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6710209","text":"External Repository"},{"id":437732,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PR7V5N","text":"USGS data release","linkHelpText":"Data on deltamethrin resistance in 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Center","active":true,"usgs":true}],"preferred":true,"id":835736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowser, Jonathan","contributorId":279928,"corporation":false,"usgs":false,"family":"Bowser","given":"Jonathan","affiliations":[],"preferred":false,"id":835737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAllister, Janet","contributorId":279929,"corporation":false,"usgs":false,"family":"McAllister","given":"Janet","email":"","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":835738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griebel, Randall","contributorId":193410,"corporation":false,"usgs":false,"family":"Griebel","given":"Randall","email":"","affiliations":[],"preferred":false,"id":835739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Childers, Eddie","contributorId":279890,"corporation":false,"usgs":false,"family":"Childers","given":"Eddie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":835740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Livieri, Travis M.","contributorId":198977,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Painter, Cristi","contributorId":279931,"corporation":false,"usgs":false,"family":"Painter","given":"Cristi","email":"","affiliations":[{"id":27863,"text":"U. S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":835742,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sterling Krank, Lindsey","contributorId":279933,"corporation":false,"usgs":false,"family":"Sterling Krank","given":"Lindsey","email":"","affiliations":[{"id":57388,"text":"Humane Society of the United States","active":true,"usgs":false}],"preferred":false,"id":835743,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bly, Kristy","contributorId":279935,"corporation":false,"usgs":false,"family":"Bly","given":"Kristy","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":835744,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70228348,"text":"70228348 - 2018 - Effectiveness of ultrasonic imaging for evaluating presence and maturity of eggs in fishes in remote field locations","interactions":[],"lastModifiedDate":"2022-02-09T18:41:05.914919","indexId":"70228348","displayToPublicDate":"2018-09-30T12:35:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of ultrasonic imaging for evaluating presence and maturity of eggs in fishes in remote field locations","docAbstract":"

Ultrasonic imaging is an effective, nonlethal method used to determine sex and maturity in a variety of fishes. However, many previous studies of this technique have been performed in laboratory environments. Using Common Carp Cyprinus carpio, we developed a standardized method for ultrasonically scanning cyprinids, and we accurately sexed 78% (N = 58) of those individuals. We then applied this method to endangered Humpback Chub Gila cypha and obtained 751 scans of Humpback Chub in remote field locations within the Grand Canyon, Arizona. Ultrasonic scanning took less than 1 min per fish to perform, and we identified females containing eggs based on two jpeg images and one 10-s video clip. Using ImageJ software to evaluate ultrasonic scans of ovulatory, captive Humpback Chub, we determined that female fish were potentially ovulatory when scanned eggs exhibited an ImageJ brightness value within the range of 32–44. Although we could successfully evaluate egg maturity, we were unable to estimate egg mass. Fisheries managers can use this noninvasive scanning method or a similar technique in remote field locations to collect ultrasonic scans from cyprinids to determine their reproductive status.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10200","usgsCitation":"Brizendine, M.E., Ward, D., and Bonar, S.A., 2018, Effectiveness of ultrasonic imaging for evaluating presence and maturity of eggs in fishes in remote field locations: North American Journal of Fisheries Management, v. 38, no. 5, p. 1017-1026, https://doi.org/10.1002/nafm.10200.","productDescription":"10 p.","startPage":"1017","endPage":"1026","ipdsId":"IP-098412","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468356,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10200","text":"Publisher Index Page"},{"id":395708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Brizendine, Morgan E.","contributorId":275268,"corporation":false,"usgs":false,"family":"Brizendine","given":"Morgan","email":"","middleInitial":"E.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":833901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David 0000-0002-3355-0637","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":216231,"corporation":false,"usgs":true,"family":"Ward","given":"David","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":833902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833900,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200918,"text":"70200918 - 2018 - A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","interactions":[],"lastModifiedDate":"2018-11-15T12:21:36","indexId":"70200918","displayToPublicDate":"2018-09-30T12:21:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","docAbstract":"

Small, steep watersheds are prolific sediment sources from which sediment flux is highly sensitive to climatic changes. Storm intensity and frequency are widely expected to increase during the 21st century, and so assessing the response of small, steep watersheds to extreme rainfall is essential to understanding landscape response to climate change. During record winter rainfall in 2016–2017, the San Lorenzo River, coastal California, had nine flow peaks representing 2–10‐year flood magnitudes. By the third flood, fluvial suspended sediment showed a regime shift to greater and coarser sediment supply, coincident with numerous landslides in the watershed. Even with no singular catastrophic flood, these flows exported more than half as much sediment as had a 100‐year flood 35 years earlier, substantially enlarging the nearshore delta. Annual sediment load in 2017 was an order of magnitude greater than during an average‐rainfall year, and 500‐fold greater than in a recent drought. These anomalous sediment inputs are critical to the coastal littoral system, delivering enough sediment, sometimes over only a few days, to maintain beaches for several years. Future projections of megadroughts punctuated by major atmospheric‐river storm activity suggest that interannual sediment‐yield variations will become more extreme than today in the western USA, with potential consequences for coastal management, ecosystems, and water‐storage capacity. The occurrence of two years with major sediment export over the past 35 years that were not associated with extremes of the El Niño Southern Oscillation or Pacific Decadal Oscillation suggests caution in interpreting climatic signals from marine sedimentary deposits derived from small, steep, coastal watersheds, to avoid misinterpreting the frequencies of those cycles.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.4415","usgsCitation":"East, A.E., Stevens, A.W., Ritchie, A.C., Barnard, P., Campbell‐Swarzenski, P., Collins, B.D., and Conaway, C., 2018, A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes: Earth Surface Processes and Landforms, v. 43, no. 12, p. 2562-2577, https://doi.org/10.1002/esp.4415.","productDescription":"16 p.","startPage":"2562","endPage":"2577","ipdsId":"IP-088636","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":359464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Lorenzo watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.25,\n 36.9167\n ],\n [\n -121.9167,\n 36.9167\n ],\n [\n -121.9167,\n 37.25\n ],\n [\n -122.25,\n 37.25\n ],\n [\n -122.25,\n 36.9167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","scienceBaseUri":"5bee93e5e4b08f163c24a1bb","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","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":751280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":751285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":751284,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216764,"text":"70216764 - 2018 - Development of the Wildlife Adaptation Menu for Resource Managers","interactions":[],"lastModifiedDate":"2020-12-14T17:48:28.022309","indexId":"70216764","displayToPublicDate":"2018-09-30T11:46:19","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":7468,"text":"Final Report","active":true,"publicationSubtype":{"id":9}},"title":"Development of the Wildlife Adaptation Menu for Resource Managers","docAbstract":"

The Climate Change Response Framework is an example of a collaborative, cross-boundary approach to create a set of tools, partnerships, and actions to support climate-informed conservation and land management. Historically, this effort has focused on the needs of forest managers and forestry professionals. In recent years, however, there has been increasing demand for science and tools to address climate change adaptation in wildlife management and conservation. Not only do wildlife and resource managers need the best available science, it must also be presented in a usable format with feasible options within the purview of an individual manager.

The research team is first completing a comprehensive review of peer-reviewed studies to summarize what wildlife-related management actions currently exist in climate change adaptation. They will then develop and test a “menu” of climate change adaptation actions that are suitable for wildlife management in terrestrial ecosystems. This Wildlife Adaptation Menu will be modeled off existing adaptation menus for Forestry and Urban Forestry, and it will be designed to be used in conjunction with the Adaptation Workbook. In addition to a menu of adaption strategies and approaches, the scientists will also identify site-level tactics and develop case studies demonstrating the use and implementation of the menu. To ensure that information and tools meet the needs of managers, the team is involving and integrating input from wildlife managers at every step of the process. Managers will be involved in scoping the project, testing the menu, and implementing the menu. 

","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"LeDee, O.E., Handler, S.D., Hoving, C., Swanston, C.W., and Zuckerberg, B., 2018, Development of the Wildlife Adaptation Menu for Resource Managers: Final Report, 4 p.","productDescription":"4 p.","ipdsId":"IP-114141","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380977,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c648de4b0546c0c397b43/59de6101e4b05fe04ccd39b8"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LeDee, Olivia E. 0000-0002-7791-5829 oledee@usgs.gov","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":242820,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia","email":"oledee@usgs.gov","middleInitial":"E.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":806127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handler, Stephen D.","contributorId":205997,"corporation":false,"usgs":false,"family":"Handler","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":37209,"text":"Northern Institute of Applied Climate Science, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":806862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoving, Chris","contributorId":173974,"corporation":false,"usgs":false,"family":"Hoving","given":"Chris","email":"","affiliations":[{"id":27328,"text":"Michigan Department of Natural Resources and Michigan State University","active":true,"usgs":false}],"preferred":false,"id":806863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanston, Christopher W.","contributorId":206000,"corporation":false,"usgs":false,"family":"Swanston","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":806864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":806865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217618,"text":"70217618 - 2018 - A statement of common ground regarding the role of wildfire in forested landscapes of the western United States","interactions":[],"lastModifiedDate":"2021-01-25T15:36:16.108595","indexId":"70217618","displayToPublicDate":"2018-09-30T09:28:55","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":7468,"text":"Final Report","active":true,"publicationSubtype":{"id":9}},"title":"A statement of common ground regarding the role of wildfire in forested landscapes of the western United States","docAbstract":"

For millennia, wildfires have markedly influenced forests and non-forested landscapes of the western United States (US), and they are increasingly seen as having substantial impacts on society and nature. There is growing concern over what kinds and amounts of fire will achieve desirable outcomes and limit harmful effects on people and nature. Moreover, the increasing complexity surrounding cost and management of wildfires suggests that science should play a more prominent role in informing decisions about the need for fire in nature, and the need for society to adapt to the inevitable occurrence of different kinds and amounts of fire and smoke.

Scientists widely view the natural wildfire regime as essential to western US forest ecosystem functioning. However, debates continue over how much low-, moderate-, and high severity fire is “natural” or desirable in these forests. Ongoing disagreement centers on the characteristics and importance of historical proportions and patch size distributions of low-, moderate-, and high-severity fires of dry, moist, and cold forests, and on the ecological consequences of changing fire-patch patterns and relative abundances. Scientists also debate the relative importance of climate and extreme weather versus fuel as drivers of high-severity fire, as well as the effectiveness and value of fuel treatments for reducing risks of undesired fire effects.

Climate research shows that we should expect shifting future climates in all ecoregions. These expected changes make it difficult for scientists, land managers, and decision-makers to know the degree to which future forest management should be informed by historical conditions. There also is disagreement about how to make western forests more resilient to future disruptions in both climatic and fire regimes. To complicate matters, areas of scientific agreement -- the “common ground” shared by those in the research community -- are poorly articulated. Thus, the focus of the Fire Research Consensus (FRC) project has been to identify common ground among scientists, and provide a summary that can inform management. Land and fire managers are one audience for this report, as are stakeholders and the interested public.


Our analysis, which results from extensive scientific literature reviews and questionnaires sent to western fire scientists and land managers, is summarized in nine key
topics:
A. Fire history and fire ecology vary with geography.
B. Human impacts and management history vary with geography.
C. Fire is a keystone process, which occurs in almost all western US forest types.
D. Knowledge of historical range of variability (HRV) is useful but does not dictate land
management goals.
E. Forest structure, composition, and fuels have changed, affecting burn severity and
fire extent.
F. Climate and fuels both influence current fire sizes and their severities.
G. The role of changing climatic conditions is increasingly important.
H. Multiple fire ecology and fire history research approaches can be useful for
characterizing fire regimes.
I. Many existing fire management tools and strategies can be useful moving forward.

We found much common ground that will be useful to scientists, managers, citizens, and policy decision-makers. For example, there is wide agreement among scientists that fire is one of the most essential influences on western forests and that more fire is needed on most landscapes, but not all wildfire behavior or extent will do. Fires can produce more positive benefits and fewer negative impacts when they burn with an ecologically appropriate mix and pattern of low, moderate, and high severity. Managers will need assistance and funding to create landscape conditions that favor more desirable fire behavior at broad spatial scales. Note that much societal impact from western wildfires occurs in non-forested landscapes that are not covered in this report, where findings would differ from those reported here for forested landscapes. We summarize additional key points below.

","language":"English","publisher":"National Center for Ecological Analysis and Synthesis","usgsCitation":"Moritz, M.A., Topik, C., Allen, C.D., Hessburg, P.F., Morgan, P., Odion, D.C., Veblen, T.T., and McCullough, I.M., 2018, A statement of common ground regarding the role of wildfire in forested landscapes of the western United States: Final Report, 55 p.","productDescription":"55 p.","ipdsId":"IP-099757","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382533,"type":{"id":15,"text":"Index Page"},"url":"https://www.nceas.ucsb.edu/snapp/fire-research-consensus"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.71679687499999,\n 31.952162238024975\n ],\n [\n -103.095703125,\n 31.952162238024975\n ],\n [\n -103.095703125,\n 48.69096039092549\n ],\n [\n -124.71679687499999,\n 48.69096039092549\n ],\n [\n -124.71679687499999,\n 31.952162238024975\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moritz, Max A.","contributorId":182434,"corporation":false,"usgs":false,"family":"Moritz","given":"Max","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":808909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topik, Chris","contributorId":248342,"corporation":false,"usgs":false,"family":"Topik","given":"Chris","email":"","affiliations":[{"id":49864,"text":"The Nature Conservancy, North America Forest Restoration Program","active":true,"usgs":false}],"preferred":false,"id":808910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hessburg, Paul F.","contributorId":46481,"corporation":false,"usgs":false,"family":"Hessburg","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":808912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, Penelope","contributorId":127585,"corporation":false,"usgs":false,"family":"Morgan","given":"Penelope","email":"","affiliations":[],"preferred":false,"id":808913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Odion, Dennis C.","contributorId":248343,"corporation":false,"usgs":false,"family":"Odion","given":"Dennis","email":"","middleInitial":"C.","affiliations":[{"id":28103,"text":"University of California - Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":808914,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Veblen, Thomas T.","contributorId":218196,"corporation":false,"usgs":false,"family":"Veblen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":808915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":808916,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70200786,"text":"70200786 - 2018 - United States bat species of concern: A synthesis","interactions":[],"lastModifiedDate":"2018-11-01T13:42:06","indexId":"70200786","displayToPublicDate":"2018-09-28T13:37:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5773,"text":"Proceedings of the California Academy of Sciences, 4th series","onlineIssn":"0068-547X","active":true,"publicationSubtype":{"id":10}},"title":"United States bat species of concern: A synthesis","docAbstract":"In 1994 the federal government designated 24 species or subspecies of bats in the United States (U.S.) and its territories as Category 2 candidates for listing as Endangered or Threatened under the U.S. Endangered Species Act. Category 2 was eliminated in 1996, but taxa previously receiving this designation were informally considered “species of concern”. Various state and federal agencies and conservation organizations assigned bat species of concern to more formal conservation categories. Some of the original 24 taxa designated as Category 2 candidates in 1994 were later listed as Endangered, whereas others were subject to refinements in knowledge of their taxonomy and distribution. The remaining 20 species of bats have the subjects of increased research efforts over the past two decades, and are the focus of this review. Two species occur in the U.S. Territories. All of the 18 mainland species ranges include areas west of the Mississippi River (15 are found primarily in western states), and 13 occur in California (72% of the 18 mainland species). In this review, we provide a comprehensive summary of the literature pertinent to the conservation designations, systematics, distribution, habitats, relative abundance, foraging, diet, roosting ecology, population ecology, and management of each of these 20 species. The species of concern are distributed among four families of bats. The Samoan flying fox (Pteropus samoensis) belong to the old-world family Pteropodidae. The California leaf-nosed bat (Macrotus californicus), red fruit bat (Stenoderma rufum), and Mexican long-tongued bat (Choeronycteris mexicana) are members of the new-world family Phyllostomidae. Three species belong to the cosmopolitan family Molossidae: the greater bonneted bat (Eumops perotis californicus), Underwood’s bonneted bat (Eumops underwoodi), and the big free-tailed bat (Nyctinomops macrotis). Most bat species of concern are in the globally distributed family Vespertilionidae: Townsend’s big-eared bat (Corynorhinus townsendii), Rafinesque’s big-eared bat (C. rafinesquii), spotted bat (Euderma maculatum), Allen’s big-eared bat (Idionycteris phyllotis), southeastern myotis (M. austroriparius), western small-footed myotis (Myotis ciliolabrum), long-eared myotis (M. evotis), eastern small-footed myotis (M. leibii), Arizona myotis (M. occultus), fringed myotis (M. thysanodes), cave myotis (M. velifer), long-legged myotis (M. volans), and Yuma myotis (M. yumanensis). An impressive amount of knowledge has accumulated about these species since their informal designation as species of concern, but this knowledge is unevenly distributed. Comparatively little research has been conducted on the Samoan flying fox and the red fruit bat over the past decade in tropical territories, nor on the Mexican long-tongued bat and Underwood’s mastiff bat in the southwestern U.S. Within temperate regions of the U.S., habitat use of two eastern species that roost in hollow trees or caves (southeastern myotis and Rafinesque’s big-eared bat) has been the focus of much research, as have aspects of the biology of cave-roosting and tree-roosting western species, particularly where information about management of forests, caves and abandoned mines can be used to benefit bat conservation. Comparatively less information has accrued about species that roost in rock crevices and high on cliff faces. Other major gaps in information are also identified. We anticipate that this review will help guide future research and conservation efforts directed at the bat species of concern.","language":"English","publisher":"California Academy of Sciences","usgsCitation":"O’Shea, T.J., Cryan, P.M., and Bogan, M.A., 2018, United States bat species of concern: A synthesis: Proceedings of the California Academy of Sciences, 4th series, v. 65, no. Supplement 1, p. 1-279.","startPage":"1","endPage":"279","ipdsId":"IP-090676","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":359074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359054,"type":{"id":15,"text":"Index Page"},"url":"https://researcharchive.calacademy.org/research/izg/SciPubs2.html"}],"country":"United States","volume":"65","issue":"Supplement 1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e508f","contributors":{"authors":[{"text":"O’Shea, Thomas J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":207270,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":750506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":750507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":750508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199790,"text":"70199790 - 2018 - Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA","interactions":[],"lastModifiedDate":"2018-10-23T16:44:04","indexId":"70199790","displayToPublicDate":"2018-09-28T13:04:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA","docAbstract":"

Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions and perception of latent risks from landslides and floods. In this study, we used the Waldo Canyon fire (2012, Colorado Springs, Colorado, USA) as a case study to explore how a time series (2011–2016) of high-resolution images can be used to delineate burn extent and severity, as well as quantify post-fire vegetation recovery. We applied an object-based approach to map burn severity and vegetation recovery using Worldview-2, Worldview-3 and QuickBird-2 imagery. The burned area was classified as 51% high, 20% moderate and 29% low burn-severity. Across the burn extent, the shrub cover class showed a rapid recovery, resprouting vigorously within 1 year, whereas 4 years post-fire, areas previously dominated by conifers were divided approximately equally between being classified as dominated by quaking aspen saplings with herbaceous species in the understorey or minimally recovered. Relative to using a pixel-based Normalised Difference Vegetation Index (NDVI), our object-based approach showed higher rates of revegetation. High-resolution imagery can provide an effective means to monitor post-fire site conditions and complement more prevalent efforts with moderate- and coarse-resolution sensors.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF17177","usgsCitation":"Vanderhoof, M.K., Burt, C., and Hawbaker, T., 2018, Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA: International Journal of Wildland Fire, v. 27, no. 10, p. 699-713, https://doi.org/10.1071/WF17177.","productDescription":"15 p.","startPage":"699","endPage":"713","ipdsId":"IP-093249","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437734,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NWJQJR","text":"USGS data release","linkHelpText":"Data release for Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA"},{"id":357904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Waldo Canyon ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105,\n 38.8667\n ],\n [\n -104.8667,\n 38.8667\n ],\n [\n -104.8667,\n 39\n ],\n [\n -105,\n 39\n ],\n [\n -105,\n 38.8667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f85e4b0fc368eb5387b","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":746619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burt, Clifton 0000-0001-5213-800X","orcid":"https://orcid.org/0000-0001-5213-800X","contributorId":208271,"corporation":false,"usgs":true,"family":"Burt","given":"Clifton","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":746620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":746621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199792,"text":"70199792 - 2018 - Late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) in Oregon, USA","interactions":[],"lastModifiedDate":"2018-09-28T12:56:43","indexId":"70199792","displayToPublicDate":"2018-09-28T12:56:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) in Oregon, USA","title":"Late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) in Oregon, USA","docAbstract":"

Many amphibians use multiple habitats across seasons. Information on seasonal habitat use, movement between seasonal habitat types, and habitats that may be particularly valuable is important to conservation and management. We used radio-telemetry to study late-season movement and habitat use by Oregon Spotted Frog (Rana pretiosa) at nine sites from four populations along the Cascade Mountains in Oregon. Movement rates declined with date and were the lowest at the end of tracking in December and January. Frogs across our sites used vegetated shallows in late summer and early fall. In fall, frogs used a range of habitat types, and at several sites moved to distinctive habitats such as springs, interstices in lava rock, and semi-terrestrial beaver channels. Distance between first and last tracking location was <250 m for 84.5% (49/58) of frogs, ranged up to 1145 m, and was greater for frogs in ditch habitats than those not in ditches. Distinctive features like springs or semi-terrestrial retreats can host multiple frogs and may represent particularly valuable wintering habitat for R. pretiosa in some sites in their Oregon range.

","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CH-18-031","usgsCitation":"Pearl, C., McCreary, B., Rowe, J., and Adams, M.J., 2018, Late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) in Oregon, USA: Copeia, v. 106, no. 3, p. 539-549, https://doi.org/10.1643/CH-18-031.","productDescription":"11 p.","startPage":"539","endPage":"549","ipdsId":"IP-094229","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":437735,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UE9KW6","text":"USGS data release","linkHelpText":"Telemetry and habitat data for Oregon spotted frogs (Rana pretiosa) in Oregon, USA"},{"id":357903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"106","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f85e4b0fc368eb5387d","contributors":{"authors":[{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":746624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":746625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":746626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":746627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199794,"text":"70199794 - 2018 - Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method","interactions":[],"lastModifiedDate":"2019-05-29T09:31:14","indexId":"70199794","displayToPublicDate":"2018-09-28T12:54:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method","docAbstract":"

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.

","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12689","usgsCitation":"Wu, Q., Lane, C., Wang, L., Vanderhoof, M.K., Christensen, J.R., and Liu, H., 2018, Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method: Journal of the American Water Resources Association, v. 55, no. 2, p. 354-368, https://doi.org/10.1111/1752-1688.12689.","productDescription":"15 p.","startPage":"354","endPage":"368","ipdsId":"IP-094162","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468357,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7995241","text":"External Repository"},{"id":357902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-28","publicationStatus":"PW","scienceBaseUri":"5bc02f86e4b0fc368eb5387f","contributors":{"authors":[{"text":"Wu, Qiusheng","contributorId":208272,"corporation":false,"usgs":false,"family":"Wu","given":"Qiusheng","email":"","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":746633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":746634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":746635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":746632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Hongxing","contributorId":38075,"corporation":false,"usgs":true,"family":"Liu","given":"Hongxing","email":"","affiliations":[],"preferred":false,"id":746665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199795,"text":"70199795 - 2018 - A spatially discrete, integral projection model and its application to invasive carp","interactions":[],"lastModifiedDate":"2018-09-28T12:51:25","indexId":"70199795","displayToPublicDate":"2018-09-28T12:51:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A spatially discrete, integral projection model and its application to invasive carp","docAbstract":"

Natural resource managers and ecologists often desire an understanding of spatial dynamics such as migration, dispersion, and meta-population dynamics. Network-node models can capture these salient features. Additionally, the state-variable used with many species may be appropriately modeled as a continuous variable (e.g., length) and management activities sometimes can only target individuals of certain sizes. Integral projection models (IPMs) can capture this life history characteristic and allow for the examination of size-specific management. We combined an IPM with a network-node model to capture both of these salient features. We then demonstrated how this model could be used to understand and manage populations of invasive species focusing on grass carp as an example. Grass carp disrupt ecosystems outside of their native range and have spread around much of the world, including North America. The impacts of grass carp include adversely changing aquatic plant communities, which in turn affect a wide range of endpoints ranging from water quality to waterfowl recruitment. We specifically examined two theoretical systems using parameters from the literature. First, we modeled a lake with two tributaries and examined how modified sterile males could be used as a control tool. We found that modified sterile males may be a feasible control tool to limit population growth. Second, we modeled a series of river pools and examined how harvest and deterrents could be used to decrease the risk of expanding grass carp's range within a river system. Within this system, we also compared the impacts of size specific harvest and uniform harvest across all sizes. We found that targeting the largest, spawning populations may be more important than targeting the populations close to the invasion front for reducing the risk of spreading grass carp. We also demonstrate that size of harvested fish was important for controlling populations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.09.006","usgsCitation":"Erickson, R.A., Eager, E.E., Kocovsky, P., Glover, D.C., Kallis, J.L., and Long, K.R., 2018, A spatially discrete, integral projection model and its application to invasive carp: Ecological Modelling, v. 387, p. 163-171, https://doi.org/10.1016/j.ecolmodel.2018.09.006.","productDescription":"9 p.","startPage":"163","endPage":"171","ipdsId":"IP-094621","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468358,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.09.006","text":"Publisher Index Page"},{"id":437736,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T9J3JU","text":"USGS data release","linkHelpText":"Spatially explicit integral projection model"},{"id":357901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"387","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f86e4b0fc368eb53881","contributors":{"authors":[{"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":746637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eager, Eric E.","contributorId":208273,"corporation":false,"usgs":false,"family":"Eager","given":"Eric","email":"","middleInitial":"E.","affiliations":[{"id":37770,"text":"UWL","active":true,"usgs":false}],"preferred":false,"id":746638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":746639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":746640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":746641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Long, K. R.","contributorId":208274,"corporation":false,"usgs":false,"family":"Long","given":"K.","email":"","middleInitial":"R.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":746642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199798,"text":"70199798 - 2018 - Spatial distribution of halogen oxides in the plume of Mount Pagan volcano, Mariana Islands","interactions":[],"lastModifiedDate":"2018-10-23T16:44:51","indexId":"70199798","displayToPublicDate":"2018-09-28T12:49:14","publicationYear":"2018","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":"Spatial distribution of halogen oxides in the plume of Mount Pagan volcano, Mariana Islands","docAbstract":"

Halogens are emitted from volcanoes primarily as hydrogen halides (HCl, HF, HBr, and HI). Upon mixing with the atmosphere, chlorine and bromine species are partially converted to the halogen oxides OClO and BrO. Here we report on the spatial distribution of BrO and OClO in the gas plume emitted from Mount Pagan volcano, Northern Mariana Islands. We found enhanced BrO/SO2 ratios near the plume edges and a lack of OClO in the plume's core. Our results highlight the importance of in‐mixing of atmospheric oxidants for halogen oxide formation. They indicate that OClO can only be formed after most bromide dissolved in plume aerosols has been released to the gas phase. We conclude that Mount Pagan's gas emissions originated from a shallow magma body and were transported to the surface along dry degassing pathways and that the volcano's halogen emissions likely had significant impact on the oxidation capacity of the downwind atmosphere.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL079245","usgsCitation":"Kern, C., and Lyons, J.J., 2018, Spatial distribution of halogen oxides in the plume of Mount Pagan volcano, Mariana Islands: Geophysical Research Letters, v. 45, no. 18, p. 9588-9596, https://doi.org/10.1029/2018GL079245.","productDescription":"9 p.","startPage":"9588","endPage":"9596","ipdsId":"IP-099293","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468359,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl079245","text":"Publisher Index Page"},{"id":437737,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VC7W2V","text":"USGS data release","linkHelpText":"Differential Optical Absorption Spectroscopy data acquired at Mount Pagan volcano (Mariana Islands) on 6 April 2014"},{"id":357900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mariana Islands, Mount Pagan Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 145.72,\n 18.1\n ],\n [\n 145.86,\n 18.1\n ],\n [\n 145.86,\n 18.18\n ],\n [\n 145.72,\n 18.18\n ],\n [\n 145.72,\n 18.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"18","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-27","publicationStatus":"PW","scienceBaseUri":"5bc02f86e4b0fc368eb53883","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":746663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":746664,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}