{"pageNumber":"470","pageRowStart":"11725","pageSize":"25","recordCount":165446,"records":[{"id":70221697,"text":"70221697 - 2021 - Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning","interactions":[],"lastModifiedDate":"2021-06-29T15:23:31.609203","indexId":"70221697","displayToPublicDate":"2021-06-29T10:21:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning","docAbstract":"Biodiversity losses are a major driver of global changes in ecosystem functioning. While most studies of the relationship between biodiversity and ecosystem functioning have examined randomized species losses, trait-based filtering associated with species-specific vulnerability to drivers of diversity loss can strongly influence how ecosystem functioning responds to declining biodiversity. Moreover, the responses of ecosystem functioning to diversity loss may be mediated by environmental variability interacting with the suite of traits remaining in depauperate communities. We do not yet understand how communities resulting from realistic diversity losses (filtered by response traits) influence ecosystem functioning (via effect traits of the remaining community), especially under variable environmental conditions. Here we directly test how realistic and randomized plant diversity losses influence productivity and invasion resistance across multiple years in a California grassland. Compared with communities based on randomized diversity losses, communities resulting from realistic (drought-driven) species losses had higher invasion resistance under climatic conditions that matched the trait-based filtering they experienced. However, productivity declined more with realistic than with randomized species losses across all years, regardless of climatic conditions. Functional response traits aligned with effect traits for productivity but not for invasion resistance. Our findings illustrate that the effects of biodiversity losses depend not only on the identities of lost species, but also on how the traits of remaining species interact with varying environmental conditions. Understanding the consequences of biodiversity change requires studies that evaluate trait-mediated effects of species losses and incorporate the increasingly variable climatic conditions that future communities are expected to experience.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2022757118","usgsCitation":"Wolf, A.A., Funk, J.L., Selmants, P., Morozumi, C.N., Hernandez, D.L., Pasari, J.R., and Zavaleta, E.S., 2021, Trait-based filtering mediates the effects of realistic biodiversity losses on ecosystem functioning: Proceedings of the National Academy of Sciences, v. 118, no. 26, e2022757118, 7 p., https://doi.org/10.1073/pnas.2022757118.","productDescription":"e2022757118, 7 p.","ipdsId":"IP-121860","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":451720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8256034","text":"Publisher Index Page"},{"id":386869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"26","noUsgsAuthors":false,"publicationDate":"2021-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":818457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":818458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selmants, Paul 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":818459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morozumi, Connor N","contributorId":260670,"corporation":false,"usgs":false,"family":"Morozumi","given":"Connor","email":"","middleInitial":"N","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":818460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernandez, Daniel L.","contributorId":205330,"corporation":false,"usgs":false,"family":"Hernandez","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":33615,"text":"Carleton College","active":true,"usgs":false}],"preferred":false,"id":818461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pasari, Jae R","contributorId":260672,"corporation":false,"usgs":false,"family":"Pasari","given":"Jae","email":"","middleInitial":"R","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":818462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zavaleta, Erika S","contributorId":190686,"corporation":false,"usgs":false,"family":"Zavaleta","given":"Erika","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":818463,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221692,"text":"ofr20211041 - 2021 - GIS-based identification of areas that have resource potential for lode gold in Alaska","interactions":[],"lastModifiedDate":"2022-05-18T16:22:14.173807","indexId":"ofr20211041","displayToPublicDate":"2021-06-29T09:43:20","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1041","displayTitle":"GIS-Based Identification of Areas that have Resource Potential for Lode Gold in Alaska","title":"GIS-based identification of areas that have resource potential for lode gold in Alaska","docAbstract":"<p>Several comprehensive, data-driven geographic information system (GIS) analyses were conducted to assess prospectivity for lode gold in Alaska. These analyses use available geospatial datasets of lithologic, geochemical, mineral occurrence, and geophysical data to build models for recognizing different types of gold deposits within physiographic units defined by stream drainage basins that are approximately 100 square kilometers in area. The analytical methods successfully delineated areas in the State that contain known lode gold deposits and occurrences, providing some measure of confidence in their ability to predict gold prospectivity in areas of unknown lode gold potential. The results of our analyses indicate high prospectivity in a few areas scattered around the State that are not known to contain lode gold deposits.</p><p>In addition to assessing the potential for lode gold deposits in Alaska, we designed analyses to distinguish different lode gold deposit types, including orogenic, reduced-intrusion-related, epithermal, and gold-bearing porphyry. These can primarily be differentiated using their unique trace element geochemical fingerprints and elemental enrichments, which reflect the characteristics of the geologic environment and chemistry of the ore-forming fluids. We identified multiple parameters that would discriminate the different types of gold deposits, but owing to the limits of available data, the compositional similarity of ore-forming fluids among some types of lode gold deposits, and overlapping geologic environments, distinguishing deposit types at the state scale in Alaska remains problematic. These limitations resulted in overlapping areas of prospectivity for different deposit types, highlighting the challenges for targeted gold exploration in Alaska. Adjustment of some scoring parameters and recharacterization at smaller scales to highlight individual mineral systems for application of prospectivity analyses may be helpful at a district scale. At a regional scale, the aerial overlap of individual deposit type analyses reinforces confidence in prospectivity for a lode gold resource in a drainage basin. Our analysis for undivided lode gold deposits will be the most practical analysis for landuse decisions in which delineation of areas that have confident potential for gold deposits in general is the primary goal.</p><p>Data-driven GIS analysis for lode gold potential in Alaska, although limited by the size and uneven coverage of available datasets, objectively indicates prospectivity in areas where exposure is good as well as in areas under cover. The results of our analyses show medium to high prospectivity in areas that surround known deposits, indicating an overall expansion of areas that have the potential to contain gold deposits. Exploration in these areas may help improve the balance between the volume of gold produced in placer districts statewide and the relatively low volume of identified lode resources that contribute to these placer deposits. The results of our analyses can help focus future investigations in areas that show prospectivity but are not known to contain gold deposits, as well as in areas where data are lacking and the geology is poorly understood, and acquisition of additional data may help better define and constrain gold prospectivity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211041","collaboration":"Prepared in cooperation with the Alaska Division of Geological & Geophysical Surveys and the Bureau of Land Management","usgsCitation":"Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., and Anderson, E.D., 2021, GIS-based identification of areas that have resource potential for lode gold in Alaska (ver. 1.1, October 2021): U.S. Geological Survey Open-File Report 2021–1041, 75 p., 9 plates, https://doi.org/10.3133/ofr20211041.","productDescription":"Report: x, 75 p.; 9 Plates: 11.00 x 17.00 inches or smaller; Data Release; 3 Appendixes","numberOfPages":"75","additionalOnlineFiles":"Y","ipdsId":"IP-099538","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":400764,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20223008","text":"Fact Sheet 2022-3008","description":"Karl, S.M., Kreiner, D.C., Case, G.N.D., and Labay, K., 2022, Geospatial analysis delineates lode gold prospectivity in Alaska: U.S. Geological Survey Fact Sheet 2022–3008, 4 p., https://doi.org/10.3133/fs202230008","linkHelpText":"-  Geospatial Analyses Delineate Lode Gold Prospectivity in Alaska"},{"id":391052,"rank":17,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_appendix3.xlsx","text":"Appendix 3","size":"250 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Lithology-Keyword Search Terms for the “Geologic Map of Alaska”"},{"id":391050,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_appendix1.xlsx","text":"Appendix 1","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Statistical Calculations of Levels of Background Values for Sediment and Rock Geochemical Data"},{"id":391049,"rank":14,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1041/versionHist.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":386835,"rank":13,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CAM3F9","linkHelpText":"Data and results for GIS-based identification of areas that have resource potential for lode gold in Alaska"},{"id":386834,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_plate9.pdf","text":"Plate 9","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map Showing Overlap of Gold-bearing Porphyry-Epithermal Gold and Reduced Intrusion-related-Orogenic Gold Deposit Prospectivity Maps"},{"id":391051,"rank":16,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_appendix2.xlsx","text":"Appendix 2","size":"300 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Alaska Resource Data File (ARDF) Mineral-Deposit-Keyword-and-Scoring Templates"},{"id":386829,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_plate4.pdf","text":"Plate 4","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Estimated Resource Potential and Certainty for Reduced Intrusion-related Gold Deposits"},{"id":386823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_v1.1.pdf","text":"Report","size":"2.5 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9 plates"},{"id":386826,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_plate1.pdf","text":"Plate 1","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Estimated Resource Potential and Certainty for Lode Gold—Undivided Deposits"},{"id":386830,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_plate5.pdf","text":"Plate 5","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Estimated Resource Potential and Certainty for Epithermal Gold Deposits"},{"id":386831,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1041/ofr20211041_plate6.pdf","text":"Plate 6","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map Showing Overlap of Orogenic, Intrusion-related and Epithermal Gold Deposit Prospectivity 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1.0: Jun 2021; Version 1.1: October 2021","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/asc/connect\" href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Data Types and Analytical Process&nbsp;&nbsp;</li><li>GIS-Based Methods&nbsp;&nbsp;</li><li>Chapter 1. Lode Gold Deposits—Undivided&nbsp;&nbsp;</li><li>Chapter 2. Orogenic Gold Deposits&nbsp;&nbsp;</li><li>Chapter 3. Reduced Intrusion-related Gold Deposits&nbsp;&nbsp;</li><li>Chapter 4. Epithermal Gold Deposits&nbsp;&nbsp;</li><li>Chapter 5. Discussion of Discrimination of Lode Gold Deposit Types&nbsp;&nbsp;</li><li>Chapter 6. Gold-bearing Porphyry and Epithermal Gold Deposits&nbsp;&nbsp;</li><li>Chapter 7. Reduced Intrusion-Related&nbsp;&nbsp;</li><li>Chapter 8. Discussion of Discrimination of Lode Gold Deposit Types Using Model Combinations&nbsp;&nbsp;</li><li>Summary and Conclusions&nbsp;&nbsp;</li><li>Data Resources&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Statistical Calculations of Levels of Background Values for Sediment and Rock&nbsp;&nbsp;</li><li>Appendix 2. Lithology-Keyword Search Terms for the \"Geologic Map of Alaska\"</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-06-29","revisedDate":"2021-10-28","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":818435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":818436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":818437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":818438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":818439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":818440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":818441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":818442,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70239000,"text":"70239000 - 2021 - Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends","interactions":[],"lastModifiedDate":"2022-12-20T13:42:34.83873","indexId":"70239000","displayToPublicDate":"2021-06-29T07:39:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3464,"text":"Spectrochimica Acta Part B: Atomic Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends","docAbstract":"<p><span>The ChemCam instrument on the&nbsp;</span><i>Curiosity</i><span>&nbsp;rover provides chemical compositions of Martian rocks and soils using remote laser-induced breakdown spectroscopy (LIBS). The elemental calibration is stable as a function of distance for Ti, Fe, Mg, and Ca. The calibration shows small, systematically increasing abundance trends as a function of distance for Al, Na, K, and to some extent, Si. The distance effect is known to be due to a dependence with distance on the relative strengths of atomic transition lines. Emission lines representing transitions from relatively low energy levels remain intense at longer distances while emission lines representing transitions from higher energy levels decrease in intensity more rapidly as a function of distance. The multivariate algorithms used to determine elemental compositions rely on a large number of emission lines in many cases, so rather than trying to correct all emission lines, a study was made of the predicted compositions as a function of distance, in order to determine an empirical correction. Abundance trends can be well approximated by a linear trend with distance within the ranges of abundances and distances observed up to ~6&nbsp;m. Data from 11 distinct geological members and data groups of the Murray formation in Gale crater, Mars, were used to form the model, selecting the members and data groups yielding the best statistics. The model was tested using data from several targets observed from two different distances, and using data from the Kimberley formation, the composition of which is significantly different from the Murray formation, showing that the model works on other compositions beyond those used to build the model. For long-distance observations up to ~6&nbsp;m, corrections can be made back to an equivalent composition at the median distance of ChemCam observations (2.6&nbsp;m). The model has been validated up to 6.2&nbsp;m, although ChemCam is able to observe bedrock targets to &gt;7&nbsp;m, and iron meteorites to distances of &gt;9&nbsp;m.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2021.106247","usgsCitation":"Wiens, R.C., Blazon-Brown, A.J., Melikechi, N., Frydenvang, J., Dehouck, E., Clegg, S.M., Delapp, D., Anderson, R.B., Cousin, A., and Maurice, S., 2021, Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends: Spectrochimica Acta Part B: Atomic Spectroscopy, v. 182, 106247, https://doi.org/10.1016/j.sab.2021.106247.","productDescription":"106247","ipdsId":"IP-127439","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":451723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://insu.hal.science/insu-03672412","text":"Publisher Index Page"},{"id":410791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"182","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazon-Brown, A. J.","contributorId":300205,"corporation":false,"usgs":false,"family":"Blazon-Brown","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":65042,"text":"LANL, U. Mass.","active":true,"usgs":false}],"preferred":false,"id":859636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melikechi, N.","contributorId":300206,"corporation":false,"usgs":false,"family":"Melikechi","given":"N.","affiliations":[{"id":65043,"text":"U. Mass.","active":true,"usgs":false}],"preferred":false,"id":859637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frydenvang, J.","contributorId":181927,"corporation":false,"usgs":false,"family":"Frydenvang","given":"J.","affiliations":[],"preferred":false,"id":859638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dehouck, E.","contributorId":290073,"corporation":false,"usgs":false,"family":"Dehouck","given":"E.","affiliations":[{"id":62330,"text":"Univ. Lyon, Univ. Lyon 1, ENSL, CNRS","active":true,"usgs":false}],"preferred":false,"id":859639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clegg, S. M.","contributorId":300207,"corporation":false,"usgs":false,"family":"Clegg","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":859640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delapp, D.","contributorId":290074,"corporation":false,"usgs":false,"family":"Delapp","given":"D.","affiliations":[{"id":62306,"text":"Space and Planetary Exploration Team, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":859641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":859642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cousin, A.","contributorId":290035,"corporation":false,"usgs":false,"family":"Cousin","given":"A.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":859643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurice, S.","contributorId":296856,"corporation":false,"usgs":false,"family":"Maurice","given":"S.","affiliations":[{"id":64219,"text":"Institut de Recherche en Astrophysique et Planetologie, Universite de Toulouse 3 Paul Sabatier, CNRS, CNES","active":true,"usgs":false}],"preferred":false,"id":859644,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70221750,"text":"70221750 - 2021 - Increasing hydroperiod in a karst-depression wetland based on 165 years of simulated daily water levels","interactions":[],"lastModifiedDate":"2021-07-01T12:27:24.261014","indexId":"70221750","displayToPublicDate":"2021-06-29T07:25:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Increasing hydroperiod in a karst-depression wetland based on 165 years of simulated daily water levels","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The hydrology of seasonally inundated depression wetlands can be highly sensitive to climatic fluctuations. Hydroperiod—the number of days per year that a wetland is inundated—is often of primary ecological importance in these systems and can vary interannually depending on climate conditions. In this study we re-examined an existing hydrologic model to simulate daily water levels in Sinking Pond, a 35-hectare seasonally inundated karst-depression wetland in Tennessee, USA. We recalibrated the model using 22 years of climate and water-level observations and used the recalibrated model to reconstruct (hindcast) daily water levels over a 165-year period from 1855 to 2019. A trend analysis of the climatic data and reconstructed water levels over the hindcasting period indicated substantial increases in pond hydroperiod over time, apparently related to increasing regional precipitation. Wetland hydroperiod increased on average by 5.9 days per decade between 1920 and 2019, with a breakpoint around the year 1970. Hydroperiod changes of this magnitude may have profound consequences for wetland ecology, such as a transition from a forested wetland to a mostly open-water pond at the Sinking Pond site. More broadly, this study illustrates the needs for robust hydrologic models of depression wetlands and for consideration of model transferability in time (i.e., hindcasting and forecasting) under non-stationary hydroclimatic conditions. As climate change is expected to influence water cycles, hydrologic processes, and wetland ecohydrology in the coming decades, hydrologic model projections may become increasingly important to detect, anticipate, and potentially mitigate ecological impacts in depression wetland ecosystems.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s13157-021-01474-x","usgsCitation":"Cartwright, J.M., and Wolfe, W., 2021, Increasing hydroperiod in a karst-depression wetland based on 165 years of simulated daily water levels: Wetlands, v. 41, 75, 18 p., https://doi.org/10.1007/s13157-021-01474-x.","productDescription":"75, 18 p.","ipdsId":"IP-122342","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":451725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-021-01474-x","text":"Publisher Index Page"},{"id":386916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Arnold Air Force Base","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.09230041503906,\n              35.35601619488275\n            ],\n            [\n              -86.03187561035156,\n              35.35601619488275\n            ],\n            [\n              -86.03187561035156,\n              35.4019238757293\n            ],\n            [\n              -86.09230041503906,\n              35.4019238757293\n            ],\n            [\n              -86.09230041503906,\n              35.35601619488275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, William J. 0000-0002-3292-051X","orcid":"https://orcid.org/0000-0002-3292-051X","contributorId":224729,"corporation":false,"usgs":false,"family":"Wolfe","given":"William J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":818610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221736,"text":"70221736 - 2021 - Creep on the Sargent Fault over the past 50 yr from alignment arrays with implications for slip transfer between the Calaveras and San Andreas Faults, California","interactions":[],"lastModifiedDate":"2021-12-10T16:34:21.151746","indexId":"70221736","displayToPublicDate":"2021-06-29T06:57:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Creep on the Sargent Fault over the past 50 yr from alignment arrays with implications for slip transfer between the Calaveras and San Andreas Faults, California","docAbstract":"<p><span>The 55‐km‐long Sargent fault connects the creeping Calaveras fault with the locked San Andreas fault through the Santa Cruz Mountains west of Gilroy, California. The position of the Sargent fault between these two faults may have implications for slip transfer and strain accumulation between a creeping and locked fault. The detection and measurement of creep on the Sargent fault would indicate where interseismic strain is accumulating adjacent to these neighboring faults. In 1969, two alignment arrays separated by 3.7&nbsp;km were installed across the central section of the Sargent fault to investigate potential creep. These arrays were measured in 1970 and 1975, and comparison of these measurements yielded a creep rate of 3.4 ± 0.6&nbsp;mm/yr across two fault strands in the northern array; results from the southern array were never published. In 2019 and 2020, we resurveyed both arrays using a total station and analyzed the results to determine accumulated fault creep. Our results show that between 1970 and 2020, a period of 49.3&nbsp;yr, the northern array was dextrally offset 164 ± 25&nbsp;mm across the same two fault strands that were active in the 1970s, yielding an average creep rate of 3.3 ± 1.3&nbsp;mm/yr. Thus, it appears that the 5 and 50 yr creep rates at this site are similar. The southern array, which may not span the entire fault zone, was dextrally offset 84 ± 13&nbsp;mm across two fault strands between 1970 and 2019, yielding an average creep rate of 1.7 ± 0.8&nbsp;mm/yr over 48.9 yr. These recent surveys document continued creep on the Sargent fault, which may reduce seismic strain accumulation and therefore seismic hazard. However, continued aseismic slip on this fault may result in the redistribution of stress and strain to adjacent faults and should be an area of continued study.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210041","usgsCitation":"Mongovin, D., and Philibosian, B.E., 2021, Creep on the Sargent Fault over the past 50 yr from alignment arrays with implications for slip transfer between the Calaveras and San Andreas Faults, California: Bulletin of the Seismological Society of America, v. 111, no. 6, p. 3189-3203, https://doi.org/10.1785/0120210041.","productDescription":"15 p.","startPage":"3189","endPage":"3203","ipdsId":"IP-120386","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":386886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Sargent Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.29980468749999,\n              36.31512514748051\n            ],\n            [\n              -120.78369140624999,\n              36.31512514748051\n            ],\n            [\n              -120.78369140624999,\n              37.23032838760387\n            ],\n            [\n              -122.29980468749999,\n              37.23032838760387\n            ],\n            [\n              -122.29980468749999,\n              36.31512514748051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mongovin, Daniel 0000-0002-1623-2637","orcid":"https://orcid.org/0000-0002-1623-2637","contributorId":255012,"corporation":false,"usgs":false,"family":"Mongovin","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":818566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":818567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226817,"text":"70226817 - 2021 - Characterizing ground motion amplification by extensive flat sediments: The seismic response of the eastern U.S. Atlantic Coastal Plain strata","interactions":[],"lastModifiedDate":"2021-12-14T12:58:24.210836","indexId":"70226817","displayToPublicDate":"2021-06-29T06:56:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing ground motion amplification by extensive flat sediments: The seismic response of the eastern U.S. Atlantic Coastal Plain strata","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>We examine the effects that Atlantic Coastal Plain (ACP) strata have on ground motions in the eastern and southeastern United States. The ACP strata consist of widespread, nearly flat‐lying sediments, the upper portions of which are unconsolidated or semiconsolidated. The ACP sediments are deposited primarily on crystalline basement rocks, creating large velocity and density contrasts with the underlying rocks. At 211 sites on ACP strata to thicknesses of 4000&nbsp;m, we compute spectral ratios relative to the average of four bedrock sites west or northwest of the strata. Sites consist of stations of Earthscope’s USArray Transportable Array (TA), and temporary deployments in the Southeast Suture of the Atlantic Margin Experiment (SESAME), Eastern North American Margin (ENAM) experiment, and the DCShake deployment in Washington, D.C. For the TA and SESAME stations, we use signals from 13 teleseisms and three regional earthquakes as input, combining the north and east components of motion after taking the Fourier transforms. We also include similarly processed site responses from the ENAM and DCShake arrays that were computed in earlier studies. Results show prominent, fundamental resonance peaks at frequencies determined by reverberations in the entire sediment column, and that often define the largest amplifications for each frequency. As frequencies increase, these resonance peaks migrate to thinner ACP strata and increase in amplitude. The peaks are well defined at frequencies below about 1&nbsp;Hz, but become narrower and less defined regionally at higher frequencies. We develop simple equations to characterize amplification versus ACP thickness, which we approximate by cosine and Gaussian curves with amplifications of 1 on bedrock and rising to the resonance peak, and then decreasing to an average amplification at thicknesses greater than twice the resonance peak. Comparisons with other site corrections for the central and eastern United States based on sediment thickness show similarities on thin ACP strata but divergence on thicker sediments. The results also demonstrate the effectiveness of using teleseismic arrivals to characterize the site responses of sedimentary sequences.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200328","usgsCitation":"Pratt, T.L., and Schleicher, L.S., 2021, Characterizing ground motion amplification by extensive flat sediments: The seismic response of the eastern U.S. Atlantic Coastal Plain strata: Bulletin of the Seismological Society of America, v. 111, no. 4, p. 1795-1823, https://doi.org/10.1785/0120200328.","productDescription":"29 p.","startPage":"1795","endPage":"1823","ipdsId":"IP-128910","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":392847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.17578124999999,\n              24.84656534821976\n            ],\n            [\n              -74.00390625,\n              24.84656534821976\n            ],\n            [\n              -74.00390625,\n              39.50404070558415\n            ],\n            [\n              -90.17578124999999,\n              39.50404070558415\n            ],\n            [\n              -90.17578124999999,\n              24.84656534821976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":828382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schleicher, Lisa Sue 0000-0001-6528-1753","orcid":"https://orcid.org/0000-0001-6528-1753","contributorId":264892,"corporation":false,"usgs":true,"family":"Schleicher","given":"Lisa","email":"","middleInitial":"Sue","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":828383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221689,"text":"sir20215054 - 2021 - Estimating flow-duration statistics and low-flow frequencies for selected streams and the implementation of a StreamStats web-based tool in Puerto Rico","interactions":[],"lastModifiedDate":"2021-06-29T14:33:40.229468","indexId":"sir20215054","displayToPublicDate":"2021-06-28T16:46:42","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5054","displayTitle":"Estimating Flow-Duration Statistics and Low-Flow Frequencies for Selected Streams and the Implementation of a StreamStats Web-Based Tool in Puerto Rico","title":"Estimating flow-duration statistics and low-flow frequencies for selected streams and the implementation of a StreamStats web-based tool in Puerto Rico","docAbstract":"<p>Daily mean streamflow data from 28 U.S. Geological Survey streamflow-gaging stations in Puerto Rico with 10 or more years of unregulated or minimally affected flow record through water year 2018 were used to develop regression equations for flow duration and annual <i>n</i>-day low-flow statistics. Ordinary least-squares and generalized least-squares regression techniques were used to develop regional regression equations for flow-duration statistics at the 99th, 98th, 95th, 90th, 80th, 70th, 60th, and 50th percent exceedance probabilities and annual <i>n</i>-day low-flow frequency statistics for the 1-, 7-, 14-, and 30-day mean low flows with the 2-year (0.5 nonexceedance probability), 5-year (0.2 nonexceedance probability), and 10-year (0.1 nonexceedance probability) recurrence intervals. A StreamStats web application was developed to estimate basin and climatic characteristics for the regional regression equation analysis. Basin and climatic characteristics determined to be significant explanatory variables in one or more regression equations included drainage area, mean total annual reference evapotranspiration, and minimum basin elevation. The adjusted coefficient of determination for the flow-duration regression equations ranged from 57.7 to 81.4 percent. The pseudo coefficient of determination for the annual <i>n</i>-day low-flow regression equations ranged from 64.6 to 70.7 percent. The StreamStats web application incorporates the flow duration, and annual <i>n</i>-day low-flow regression equations and can provide streamflow estimates for most ungaged sites in the island.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215054","collaboration":"Prepared in cooperation with the Puerto Rico Environmental Quality Board","usgsCitation":"Williams-Sether, T., 2021, Estimating flow-duration statistics and low-flow frequencies for selected streams and the implementation of a StreamStats web-based tool in Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2021–5054, 18 p., https://doi.org/10.3133/sir20215054.","productDescription":"Report: v, 17 p.; Data Release; Dataset","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-118184","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":386816,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5054/coverthb.jpg"},{"id":386817,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5054/sir20215054.pdf","text":"Report","size":"5.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5054"},{"id":386819,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":386818,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y2QVJ6","text":"USGS data release","linkHelpText":"Data files for the development of regression equations for flow-duration statistics and n-day low-flow frequencies for ungaged streams in Puerto Rico through water year 2018"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.3187255859375,\n              17.85590441431915\n            ],\n            [\n              -65.5828857421875,\n              17.85590441431915\n            ],\n            [\n              -65.5828857421875,\n              18.557739984085266\n            ],\n            [\n              -67.3187255859375,\n              18.557739984085266\n            ],\n            [\n              -67.3187255859375,\n              17.85590441431915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_nd@usgs.gov\" href=\"mailto:%20dc_nd@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Statistical Methods</li><li>Development of Regional Regression Equations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-28","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams-Sether, Tara 0000-0001-6515-9416 tjsether@usgs.gov","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":152247,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","email":"tjsether@usgs.gov","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818431,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221888,"text":"70221888 - 2021 - Further adventures in Mars DTM quality: Smoothing errors, sharpening details","interactions":[],"lastModifiedDate":"2021-07-14T11:49:43.972121","indexId":"70221888","displayToPublicDate":"2021-06-28T14:01:34","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Further adventures in Mars DTM quality: Smoothing errors, sharpening details","docAbstract":"We have used high-precision, high-resolution digital terrain models (DTMs) of the NASA Mars Science Laboratory (MSL) and Mars 2020 rover landing sites based on mosaicked images from the Mars Reconnaissance Orbiter High Resolution Imaging Science Experiment (MRO HiRISE) camera as a reference data set to evaluate DTMs based on Mars Express High Resolution Stereo Camera (MEX HRSC) images. The Next Generation Automatic Terrain Extraction (NGATE) matcher in the SOCET SET/GXP † commercial photogrammetric system produces DTMs with relatively good (small) horizontal resolution but high error, and results are terrain dependent, with poorer resolution and smaller errors on smoother surfaces. Multiple approaches to smoothing the NGATE DTMs give very similar tradeoffs between resolution and error. Smoothing the NGATE DTMs with a single pass of an area-based matcher, which has been the standard approach to generating planetary DTMs at the U.S. Geological Survey (USGS) to date is probably near-optimal in terms of both combined resolution-error performance and local slope estimation, but smoothing with a 5x5 lowpass filter performs as well or better. DTMs from the HRSC team processing pipeline fall within this same trade space but are less sensitive to terrain roughness. DTMs produced with the Ames Stereo Pipeline also fall in this space at resolutions intermediate between NGATE and the team pipeline. Although DTM resolution and error each vary by a factor of two, their product is much more consistent, varying by <20% across multiple image sets and matching algorithms. Refinement of the stereo DTM by photoclinometry can yield significant quantitative improvement in resolution and some improvement in error (improving their product by as much as a factor of two), provided that albedo variations over distances smaller than the stereo DTM resolution are not too severe.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Archives of Photogrammetry, Remote Sensing, and Spatial Information Science","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission III","conferenceDate":"July 5-9, 2021","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLIII-B3-2021-659-2021","usgsCitation":"Kirk, R.L., Mayer, D., Redding, B.L., Galuszka, D.M., Fergason, R.L., Hare, T.M., and Gwinner, K., 2021, Further adventures in Mars DTM quality: Smoothing errors, sharpening details, <i>in</i> International Archives of Photogrammetry, Remote Sensing, and Spatial Information Science, v. XLIII-B3-2021, July 5-9, 2021, p. 659-666, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-659-2021.","productDescription":"8 p.","startPage":"659","endPage":"666","ipdsId":"IP-128529","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":451730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xliii-b3-2021-659-2021","text":"Publisher Index Page"},{"id":387164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"XLIII-B3-2021","noUsgsAuthors":false,"publicationDate":"2021-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fergason, Robin L. 0000-0002-2044-1714","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":206167,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":819221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwinner, Klaus","contributorId":211338,"corporation":false,"usgs":false,"family":"Gwinner","given":"Klaus","email":"","affiliations":[],"preferred":false,"id":819222,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221578,"text":"sir20215043 - 2021 - Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2021-06-29T14:36:28.595882","indexId":"sir20215043","displayToPublicDate":"2021-06-28T13:10:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5043","displayTitle":"Approaches for Assessing Long-Term Annual Yields of Highway and Urban Runoff in Selected Areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)","title":"Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"<p>The California Department of Transportation, commonly known as CalTrans, and other municipal separate storm sewer system permittees in California as well as other State departments of transportation nationwide need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff and discharges from stormwater best management practices (BMPs). Although its National Pollution Discharge Elimination System stormwater permit is focused on areas subject to total maximum daily load (TMDL) regulations, CalTrans builds and maintains BMPs to minimize the adverse effects of roadway runoff on receiving waters throughout the State. This report describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for using the Stochastic Empirical Loading and Dilution Model (SELDM) to assess long-term annual yields of highway and urban runoff in selected areas of California. In this study, a series of regional and local yields were simulated to provide statewide planning-level estimates and more refined TMDL-specific yield values. SELDM was used to analyze 368 State roadway and urban runoff yields for 53 runoff quality constituents. The analyses included 222 random-seed analyses, 60 regional State roadway-runoff analyses, 24 regional urban roadway-runoff analyses, and 62 focused TMDL-area analyses.</p><p>This report describes approaches and statistics used to analyze available hydrologic and runoff quality data in all analyses. Results for all analyses are provided in the model archive, but only a selected subset of results are presented as examples in this report. State roadway runoff, urban runoff, and BMP discharge yields for total suspended solids, total nitrogen, total phosphorus, and total zinc were selected as examples because they are widespread constituents of concern with substantial amounts of State roadway and urban runoff monitoring data. In this report, a hypothetical basin was specified by using available geographic information to demonstrate use of the State roadway and urban runoff yields to estimate long-term annual stormwater loads from developed areas. Application of these yields to the hypothetical basin indicates that although State-roadway yields may be higher than urban-runoff yields for some constituents, State-roadway loads may be a small proportion of total stormwater loads because State roadways themselves are a small fraction of the total impervious area in such basins. Although application of results from this study may have considerable uncertainty for any particular stormwater outfall, the study does provide robust estimates to support basin-scale runoff-load analyses in California. These analyses also provide estimates for the 12 U.S. Environmental Protection Agency level III ecoregions that are completely or partially within the boundaries of the State of California.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215043","collaboration":"Prepared in cooperation with the California Department of Transportation","usgsCitation":"Granato, G.E., and Friesz, P.J., 2021, Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2021–5043, 37 p., https://doi.org/10.3133/sir20215043.","productDescription":"Report: vii, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-124902","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_ nweng@usgs.gov\" data-mce-href=\"mailto:dc_ nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Simulation Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-28","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":197631,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818158,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221490,"text":"ofr20201105 - 2021 - Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in monitoring wells at the former Naval Air Warfare Center, West Trenton, New Jersey, 2014–17","interactions":[],"lastModifiedDate":"2021-06-28T14:54:40.661083","indexId":"ofr20201105","displayToPublicDate":"2021-06-28T09:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1105","displayTitle":"Distribution of Chlorinated Volatile Organic Compounds and Per- and Polyfluoroalkyl Substances in Monitoring Wells at the Former Naval Air Warfare Center, West Trenton, New Jersey, 2014–17","title":"Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in monitoring wells at the former Naval Air Warfare Center, West Trenton, New Jersey, 2014–17","docAbstract":"<p>A study was conducted by the U.S. Geological Survey in cooperation with the U.S. Navy (the Navy) to determine the status of volatile organic compounds (VOCs) and per- and polyfluoroalkyl substances (PFASs) in groundwater at the former Naval Air Warfare Center (NAWC) in West Trenton, New Jersey. Wells contaminated with VOCs were sampled in 2014, 2015, 2016, and 2017 as part of the Navy’s long-term monitoring program. The results for trichloroethene (TCE), cis-1,2-dichloroethene (cisDCE), and vinyl chloride (VC) were plotted in map view to determine whether the areal extent of the contamination had changed over the 4-year period. TCE, cisDCE, and VC concentrations were plotted along nine lines of section across the former NAWC site to determine whether the vertical distribution of VOCs had changed during 2014–17. TCE, cisDCE, and VC concentrations over time were plotted on graphs for each well to determine long-term trends and changes in VOC concentrations. Data from 1990 to 2017 were used, if available, to make these graphs.</p><p>Results show that the areas of VOC concentrations greater than or equal to 1 microgram per liter decreased slightly on the northwestern side and the northeastern side of the NAWC site from 2014 to 2017 under the influence of a pump-and-treat system, natural attenuation processes, and engineered bioaugmentation experiments ongoing at the site. The pump-and-treat system continued to hydraulically contain the VOC contamination and kept it from moving offsite to the south and west of NAWC. One well northeast of the NAWC site, 50BR, was found to have detectable TCE and cisDCE concentrations. These detections indicated that VOC contamination had migrated offsite and that the pump-and-treat system was not containing the VOC contamination on the eastern side of the facility. Detectable VOC concentrations were present in wells as deep as 200 and 221 feet on the eastern and western sides of the NAWC site. TCE concentrations in most wells were found to be stable or to have slowly decreased since the facility closed in 1999. Only 7 wells, including 3 pump-and-treat extraction wells, showed substantial increases in TCE concentration from 2014 to 2017. Continuing sources of TCE to the system are desorption of TCE from organic materials in the aquifer, back diffusion of TCE from the contaminated bedrock matrix, and dissolution of remaining dense nonaqueous phase TCE in the aquifer.</p><p>Wells at the former NAWC site were sampled for PFASs in 2015, 2016, and 2017. Perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), and perfluorononanoic acid (PFNA) results were plotted in map and cross-section views to determine the areal and vertical extent of the PFAS contamination at the site. PFOS, PFOA, and PFNA concentrations greater than their established maximum contaminant levels were detected in 25, 24, and 21 of the 26 wells sampled, respectively, on the eastern side of NAWC in 2017. Vertically, the highest PFAS concentrations were present in shallow wells along the fence near the firehouse and along the railroad tracks where the aqueous film-forming foam discharge reportedly occurred back in 1990. PFAS concentrations were detected in one well (54BR) as deep as 200 feet on the eastern side of the NAWC site. PFASs were present in wells east of the railroad tracks, indicating that PFAS-contaminated groundwater had moved offsite. In a limited test of five wells, samples collected with regenerated cellulose dialysis membrane (RCDM) passive samplers contained PFAS concentrations equal to those in samples from low-flow purging.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201105","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Imbrigiotta, T.E., and Fiore, A.R., 2021, Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in monitoring wells at the former Naval Air Warfare Center, West Trenton, New Jersey, 2014–17: U.S. Geological Survey Open-File Report 2020–1105, 107 p., https://doi.org/10.3133/ofr20201105.","productDescription":"Report: xii, 107 p.; Data Release; 4 Appendixes","numberOfPages":"107","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-110205","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":386575,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1105/ofr20201105_appendix2.xlsx","text":"Appendix 2","size":"288 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Appendix 2. Volatile organic compounds, per- and polyfluoroalkyl substances, and 1,4-dioxane concentrations measured in samples from wells at the former Naval Air Warfare Center site, West Trenton, New Jersey, 1990–2017"},{"id":386577,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1105/ofr20201105_appendix2.csv","text":"Appendix 2 as CSV file","size":"187 KB","linkFileType":{"id":7,"text":"csv"}},{"id":386576,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1105/ofr20201105_appendix1.csv","text":"Appendix 1 as CSV file","size":"22.9 KB","linkFileType":{"id":7,"text":"csv"}},{"id":386573,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RCAQ5N","text":"USGS data release","linkHelpText":"Concentrations of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in groundwater and surface water, former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":386572,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1105/ofr20201105.pdf","text":"Report","size":"9.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1105"},{"id":386571,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1105/coverthb.jpg"},{"id":386574,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1105/ofr20201105_appendix1.xlsx","text":"Appendix 1","size":"43.7 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Appendix 1. Descriptions of boreholes, well locations, and well construction at the former Naval Air Warfare Center, West Trenton, New Jersey"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.80979204177856,\n              40.26746805544402\n            ],\n            [\n              -74.80759263038635,\n              40.27155298671227\n            ],\n            [\n              -74.8130750656128,\n              40.27224060619094\n            ],\n            [\n              -74.81433033943176,\n              40.26832763061523\n            ],\n            [\n              -74.81412649154663,\n              40.268139343654944\n            ],\n            [\n              -74.80979204177856,\n              40.26746805544402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nj-water\" data-mce-href=\"https://www.usgs.gov/centers/nj-water\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike Ste 110<br>Lawrenceville, New Jersey, 08648</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background</li><li>Methods</li><li>Results and Discussion</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Descriptions of boreholes, well locations, and well construction at the former Naval Air Warfare Center, West Trenton, New Jersey</li><li>Appendix 2. Volatile organic compounds, per- and polyfluoroalkyl substances, and 1,4-dioxane concentrations measured in samples from wells at the former Naval Air Warfare Center site, West Trenton, New Jersey, 1990–2017</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-06-28","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224971,"text":"70224971 - 2021 - A more representative community of ecologists","interactions":[],"lastModifiedDate":"2021-10-11T13:07:43.044079","indexId":"70224971","displayToPublicDate":"2021-06-28T08:05:54","publicationYear":"2021","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 more representative community of ecologists","docAbstract":"<p>Ecologists play a crucial role in providing solutions to the challenges facing the world. For most of the history of the field, however, the science of ecology has been pursued by white men, and increasingly, by white women. This lack of diversity is untenable today, not only because it is socially unjust, but also because solving environmental problems requires diversity. Ecology as a science is an extremely rewarding and fun career choice for many, but how can the field recruit a more diverse workforce to do this important and gratifying work? Attracting and retaining future ecologists of color is the focus of this Forum.</p><p>How do young people choose a career in ecology and environmental sciences? For many ecologists, environmental scientists and managers, and future natural resource professionals, an early field experience provides a crucial introduction and gateway. A sojourn at a field station, an extended field trip, or field expedition has introduced many of today’s professionals to their fields, but at the same time, a growing literature documents problematic behavior, discrimination, and other forms of harassment that have been far too frequently reported, and little attention has been given to conscious or implicit exclusion of students from diverse backgrounds.</p><p>In their lead article, Bowser and Cid, two leading researchers and long-time champions of diversity in ecology, build on experience in long-running programs as well as the literature to diagnose challenges facing diverse youth, and present approaches to encourage, rather than discourage, further engagement. They describe affirmative and creative measures that foster a sense of inclusion and community among young scholars; this sense of belonging and empowerment allows many to advance to studies and careers in ecology and environmental science.</p><p>In the subsequent six papers, authors explore topics either responding to, or inspired by, the lead paper. They explore alternatives to a field experience as a gateway to a career in ecology or environmental sciences through, for example, data science or the social sciences. Other comment papers describe challenges faced in the next phases of an academic career, barriers faced by specific cultural groups and the approaches, challenges, and outcomes of programs aiming to increase the diversity of the environmental STEM workforce. All responses sound a clarion call for change to hear and value different voices and perspectives to be heard and valued. These include (1) structural and cultural change to our institutions and reward structures; (2) developing and nurturing personal relationships among students and their mentors, within teams and in internships; (3) making entry to ecology inviting and making advancement in ecology free from systemic barriers; and (4) broadening our vision of ecology, and the ways we learn about the world’s ecosystems.</p><p>The Ecological Society of America, the home for<span>&nbsp;</span><i>Ecological Applications</i>, is committed to the diversity, equity and inclusion needed to tackle environmental challenges in unity (https://www.esa.org/esablog/2020/09/24/time-for-action-esa-initiates-a-diversity-equity-inclusion-and-justice-deij-task-force/). The world needs all available talent and perspectives to meet environmental challenges today.<span>&nbsp;</span><i>Ecological Applications</i><span>&nbsp;</span>has long published occasional papers on the profession of ecology and never ones more important or timely than these. The editorial team is proud to provide an outlet for the voices of our field, in all its current, if inadequate, diversity and honored to host the passionate and committed views of our authors.</p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.2353","usgsCitation":"Schimel, D.S., and Baron, J., 2021, A more representative community of ecologists: Ecological Applications, v. 31, no. 6, e02353, 1 p., https://doi.org/10.1002/eap.2353.","productDescription":"e02353, 1 p.","ipdsId":"IP-126262","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2353","text":"Publisher Index Page"},{"id":390383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schimel, David S","contributorId":267312,"corporation":false,"usgs":false,"family":"Schimel","given":"David","email":"","middleInitial":"S","affiliations":[{"id":55473,"text":"Jep Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":824949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":824948,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223146,"text":"70223146 - 2021 - Fully accounting for nest age reduces bias when quantifying nest survival","interactions":[],"lastModifiedDate":"2024-04-17T18:34:37.961408","indexId":"70223146","displayToPublicDate":"2021-06-28T07:42:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Fully accounting for nest age reduces bias when quantifying nest survival","docAbstract":"<p class=\"chapter-para\">Accurately measuring nest survival is challenging because nests must be discovered to be monitored, but nests are typically not found on the first day of the nesting interval. Studies of nest survival therefore often monitor a sample that overrepresents older nests. To account for this sampling bias, a daily survival rate (DSR) is estimated and then used to calculate nest survival to the end of the interval. However, estimates of DSR (and thus nest survival) can still be biased if DSR changes with nest age and nests are not found at age 0. Including nest age as a covariate of DSR and carefully considering the method of estimating nest survival can prevent such biases, but many published studies have not fully accounted for changes in DSR with nest age. I used a simulation study to quantify biases in estimates of nest survival resulting from changes in DSR with nest age under a variety of scenarios. I tested four methods of estimating nest survival from the simulated datasets and evaluated the bias and variance of each estimate. Nest survival estimates were often strongly biased when DSR varied with age but DSR was assumed to be constant, as well as when the model included age as a covariate but calculated nest survival from DSR at the mean monitored nest age (the method typically used in previous studies). In contrast, biases were usually avoided when nest survival was calculated as the product of age-specific estimates of DSR across the full nesting interval. However, the unbiased estimates often showed large variance, especially when few nests were found at young ages. Future field studies can maximize the accuracy and precision of nest survival estimates by aiming to find nests at young ages, including age as a covariate in the DSR model, and calculating nest survival as the product of age-specific estimates of DSR when DSR changes with nest age.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duab030","usgsCitation":"Weiser, E.L., 2021, Fully accounting for nest age reduces bias when quantifying nest survival: Ornithological Applications, v. 123, no. 3, duab030, 23 p., https://doi.org/10.1093/ornithapp/duab030.","productDescription":"duab030, 23 p.","ipdsId":"IP-123574","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":451735,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duab030","text":"Publisher Index Page"},{"id":436286,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9THD5GK","text":"USGS data release","linkHelpText":"Nest Survival Bias Analysis"},{"id":387895,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":821108,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221577,"text":"sim3474 - 2021 - Delineating the Pierre Shale from geophysical surveys within and near Ellsworth Air Force Base, South Dakota, 2019","interactions":[],"lastModifiedDate":"2022-04-14T16:06:18.123963","indexId":"sim3474","displayToPublicDate":"2021-06-28T07:21:51","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3474","displayTitle":"Delineating the Pierre Shale from Geophysical Surveys Within and Near Ellsworth Air Force Base, South Dakota, 2019","title":"Delineating the Pierre Shale from geophysical surveys within and near Ellsworth Air Force Base, South Dakota, 2019","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Air Force Civil Engineering Center, investigated the use of surface geophysical methods to delineate the top of the Cretaceous Pierre Shale along survey transects in selected areas within and near Ellsworth Air Force Base, South Dakota. Two complementary geophysical methods—electrical resistivity and passive seismic—were used along 26 co-located transect surveys within and near Ellsworth Air Force Base for a total of 12.7 line-kilometers. Electrical resistivity results were analyzed using EarthImager2D electrical resistivity tomography processing and inversion software. Two-dimensional earth models showing the electrical properties of the subsurface were evaluated by directly comparing the high and low subsurface resistivity values to a surficial geologic map and nearby wells with driller logs. Passive seismic data were analyzed using the horizontal-to-vertical spectral ratio method to determine the depth to the Pierre Shale at each survey point. The electrical resistivity and passive seismic results were compared to driller logs from nearby wells to delineate the top of the Pierre Shale. The depth to the Pierre Shale along the transects ranged from about 2.4 to 20.3 meters, and mean and median depths were about 9.2 and 9.0 meters, respectively. The elevation of the Pierre Shale and thickness of unconsolidated deposits generally increased with land-surface elevation from south to north; however, some transects displayed topographically high and low areas that sometimes did not correlate with land-surface topography and may affect local groundwater flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3474","collaboration":"Prepared in cooperation with U.S. Air Force Civil Engineering Center","usgsCitation":"Medler, C.J., and Anderson, T.M., 2021, Delineating the Pierre Shale from geophysical surveys within and near Ellsworth Air Force Base, South Dakota, 2019: U.S. Geological Survey Scientific Investigations Map 3474, 3 sheets, 16-p. pamphlet, https://doi.org/10.3133/sim3474.","productDescription":"Pamphlet: ix,16 p.; 3 Sheets: 48.00 x 40.00 inches or smaller; Data Release; Dataset","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-126004","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":386683,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3474/sim3474_pamphlet.pdf","text":"Pamphlet","size":"2.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3474 Pamphlet"},{"id":386682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3474/coverthb2.jpg"},{"id":398136,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3474/full","text":"Pamphlet","linkFileType":{"id":5,"text":"html"}},{"id":398000,"rank":9,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3474/images"},{"id":386688,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":386687,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XSJH17","text":"USGS data release","linkHelpText":"Electrical Resistivity Tomography (ERT) and Horizontal-to-Vertical Spectral Ratio (HVSR) data collected within and near Ellsworth Air Force Base, South Dakota, from 2014 to 2019"},{"id":386686,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3474/sim3474_sheet03.pdf","text":"Sheet 3","size":"9.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3474 Sheet 3","linkHelpText":"— Electrical resistivity tomography inversion results with depth to Pierre Shale from horizontal-to-vertical spectral ratio results for transects 9A, 9B, 9C, 11, 8A, 8B, 8C, 10, and 12, Ellsworth Air Force Base, South Dakota"},{"id":386685,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3474/sim3474_sheet02.pdf","text":"Sheet 2","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3474 Sheet 2","linkHelpText":"— Electrical resistivity tomography inversion results with depth to Pierre Shale from horizontal-to-vertical spectral ratio results for transects 4A1, 4A2, 2, 3A, 3B, 3C, and 5, Ellsworth Air Force Base, South Dakota"},{"id":386684,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3474/sim3474_sheet01.pdf","text":"Sheet 1","size":"8.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3474 Sheet 1","linkHelpText":"— Electrical resistivity tomography inversion results with depth to Pierre Shale from horizontal-to-vertical spectral ratio results for transects 1C1, 1C2, 14, 15, 13A, 13B, 1A, 1B, 4B, and 4C, Ellsworth Air Force Base, South Dakota"},{"id":397999,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3474/sim3474.XML"}],"country":"United States","state":"South Dakota","otherGeospatial":"Ellsworth Air Force Base","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.14857482910155,\n              44.10977494207831\n            ],\n            [\n              -103.04145812988281,\n              44.10977494207831\n            ],\n            [\n              -103.04145812988281,\n              44.17136989600329\n            ],\n            [\n              -103.14857482910155,\n              44.17136989600329\n            ],\n            [\n              -103.14857482910155,\n              44.10977494207831\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:%20dc_sd@usgs.gov\" data-mce-href=\"mailto:%20dc_sd@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/dakota-water\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue<br>Bismarck, ND 58503<br><br>1608 Mountain View Road<br>Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geophysical Surveying Methods</li><li>Geophysical Survey Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-28","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Medler, Colton J. 0000-0001-6119-5065","orcid":"https://orcid.org/0000-0001-6119-5065","contributorId":201463,"corporation":false,"usgs":true,"family":"Medler","given":"Colton","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Todd M. 0000-0001-8971-9502","orcid":"https://orcid.org/0000-0001-8971-9502","contributorId":218978,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818151,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222096,"text":"70222096 - 2021 - Chemical connectivity and multi-element composition of groundwater in depressional wetlands","interactions":[],"lastModifiedDate":"2021-07-20T12:07:21.12883","indexId":"70222096","displayToPublicDate":"2021-06-28T07:04:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Chemical connectivity and multi-element composition of groundwater in depressional wetlands","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Little is known about the element composition of groundwater along flow paths between wetlands. What is known is based on a few major elements, such as Na and Ca. We examined the spatial and temporal variation of elements in a depressional-wetland, groundwater-flow system in the Prairie Pothole Region of North Dakota, USA. Wetlands of the region are characterized by their occurrence in hydrologically connected complexes, where those at higher elevations in the groundwater flow system often recharge groundwater (recharge wetlands), while those at lower elevations receive groundwater (discharge wetlands). The aim of our study was to get a better understanding of factors affecting the distribution of more than 30 elements in groundwater along a flow path between recharge and discharge wetlands. We found that oxidation-reduction potential (ORP) decreased as electrical conductivity (EC) increased along the flow path. As EC increased, so did the concentrations of major ions, such as Na, Ca, and Mg. That was already well known. Less known, however, was that concentrations of Cs, Sn, U and Zr increased along the flow path as well. Not reported before was that concentrations of Sn increased strongly as ORP decreased. The concentrations of most elements in groundwater increased with lower relative elevation in the groundwater flow system, but notable exceptions were Ba and Zn, which both showed opposite patterns. Our results contribute to a better understanding of element cycling in groundwater between wetlands, which in turn is important for our understanding of resultant influences on associated biogeochemistry and ecosystem services.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s13157-021-01469-8","usgsCitation":"Yuan, Y., Zhu, X., Mushet, D., Solensky, M.J., and Otte, M.L., 2021, Chemical connectivity and multi-element composition of groundwater in depressional wetlands: Wetlands, v. 41, 73, 16 p., https://doi.org/10.1007/s13157-021-01469-8.","productDescription":"73, 16 p.","ipdsId":"IP-125290","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":387289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.525146484375,\n              46.79253827035982\n            ],\n            [\n              -98.031005859375,\n              46.79253827035982\n            ],\n            [\n              -98.031005859375,\n              47.724544549099676\n            ],\n            [\n              -99.525146484375,\n              47.724544549099676\n            ],\n            [\n              -99.525146484375,\n              46.79253827035982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yuan, Yuxiang","contributorId":210282,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuxiang","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":819493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Xiaoyan","contributorId":177140,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaoyan","affiliations":[],"preferred":false,"id":819494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solensky, Matthew J. 0000-0003-4376-7765 msolensky@usgs.gov","orcid":"https://orcid.org/0000-0003-4376-7765","contributorId":4784,"corporation":false,"usgs":true,"family":"Solensky","given":"Matthew","email":"msolensky@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otte, Marinus L.","contributorId":210284,"corporation":false,"usgs":false,"family":"Otte","given":"Marinus","email":"","middleInitial":"L.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":819497,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224967,"text":"70224967 - 2021 - Identifying policy-relevant indicators for assessing landscape vegetation patterns to inform planning and management on  multiple use public lands","interactions":[],"lastModifiedDate":"2021-10-11T15:27:03.245825","indexId":"70224967","displayToPublicDate":"2021-06-26T10:23:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying policy-relevant indicators for assessing landscape vegetation patterns to inform planning and management on  multiple use public lands","docAbstract":"<p><span>Understanding the structure and composition of landscapes can empower agencies to effectively manage public lands for multiple uses while sustaining land health. Many landscape metrics exist, but they are not often used in public land decision-making. Our objectives were to (1) develop and (2) apply a process for identifying a core set of indicators that public land managers can use to understand landscape-level resource patterns on and around public lands. We first developed a process for identifying indicators that are grounded in policy, feasible to quantify using existing data and resources, and useful for managers. We surveyed landscape monitoring efforts by other agencies, gathered science and agency input on monitoring goals, and quantified the prevalence of potential indicators in agency land health standards to identify five landscape indicators: amount, distribution, patch size, structural connectivity, and diversity of vegetation types. We then conducted pilot applications in four bureau of land management (BLM) field offices in Arizona, California, and Colorado to refine procedures for quantifying the indicators and assess the utility of the indicators for managers. Results highlighted the dominance of upland and the limited extent of riparian/wetland vegetation communities, moderate connectivity of priority vegetation patches, and lower diversity of native vegetation types on BLM compared to non-BLM lands. Agency staff can use the indicators to inform the development of quantitative resource management objectives in land use plans, evaluate progress in meeting those objectives, quantify potential impacts of proposed actions, and as a foundation for an all-lands approach to landscape-level management across public lands.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00267-021-01493-8","usgsCitation":"Carter, S.K., Burris, L., Domschke, C., Garman, S.L., Haby, T., Harms, B., Kachergis, E., Litschert, S.E., and Miller, K., 2021, Identifying policy-relevant indicators for assessing landscape vegetation patterns to inform planning and management on  multiple use public lands: Environmental Management, v. 68, p. 426-443, https://doi.org/10.1007/s00267-021-01493-8.","productDescription":"18 p.","startPage":"426","endPage":"443","ipdsId":"IP-120719","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-021-01493-8","text":"Publisher Index Page"},{"id":390386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","noUsgsAuthors":false,"publicationDate":"2021-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":824906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burris, Lucy","contributorId":267280,"corporation":false,"usgs":false,"family":"Burris","given":"Lucy","affiliations":[],"preferred":false,"id":824907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domschke, Chris","contributorId":267281,"corporation":false,"usgs":false,"family":"Domschke","given":"Chris","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":824908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garman, Steven L 0000-0002-9032-9074","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":267282,"corporation":false,"usgs":false,"family":"Garman","given":"Steven","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":824909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haby, Travis","contributorId":202409,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","affiliations":[{"id":36421,"text":"Bureau of Land Management National Operations Center","active":true,"usgs":false}],"preferred":false,"id":824996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harms, Benjamin R","contributorId":267283,"corporation":false,"usgs":false,"family":"Harms","given":"Benjamin R","affiliations":[],"preferred":false,"id":824910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kachergis, Emily","contributorId":195930,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","affiliations":[],"preferred":false,"id":824911,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Kevin","contributorId":178815,"corporation":false,"usgs":false,"family":"Miller","given":"Kevin","affiliations":[],"preferred":false,"id":824913,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Litschert, S. E.","contributorId":267284,"corporation":false,"usgs":false,"family":"Litschert","given":"S.","email":"","middleInitial":"E.","affiliations":[{"id":55460,"text":"Quantum Spatial, Inc.","active":true,"usgs":false}],"preferred":false,"id":824912,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70230358,"text":"70230358 - 2021 - Identification of low-frequency earthquakes on the San Andreas fault with deep learning","interactions":[],"lastModifiedDate":"2022-04-08T11:58:40.972488","indexId":"70230358","displayToPublicDate":"2021-06-26T06:56:22","publicationYear":"2021","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":"Identification of low-frequency earthquakes on the San Andreas fault with deep learning","docAbstract":"<div class=\"article-section__content en main\"><p>Low-frequency earthquakes are a seismic manifestation of slow fault slip. Their emergent onsets, low amplitudes, and unique frequency characteristics make these events difficult to detect in continuous seismic data. Here, we train a convolutional neural network to detect low-frequency earthquakes near Parkfield, CA using the catalog of Shelly&nbsp;(2017),<span>&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1002/2017jb014047\" data-mce-href=\"https://doi.org/10.1002/2017jb014047\">https://doi.org/10.1002/2017jb014047</a><span>&nbsp;</span>as training data. We explore how varying model size and targets influence the performance of the resulting network. Our preferred network has a peak accuracy of 85% and can reliably pick low-frequency earthquake (LFE) S-wave arrival times on single station records. We demonstrate the abilities of the network using data from permanent and temporary stations near Parkfield, and show that it detects new LFEs that are not part of the Shelly&nbsp;(2017),<span>&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1002/2017jb014047\" data-mce-href=\"https://doi.org/10.1002/2017jb014047\">https://doi.org/10.1002/2017jb014047</a><span>&nbsp;</span>catalog. Overall, machine-learning approaches show great promise for identifying additional low-frequency earthquake sources. The technique is fast, generalizable, and does not require sources to repeat.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093157","usgsCitation":"Thomas, A., Inbal, A., Searcy, J., Shelly, D.R., and Bürgmann, R., 2021, Identification of low-frequency earthquakes on the San Andreas fault with deep learning: Geophysical Research Letters, v. 48, no. 13, e2021GL093157, 10 p., https://doi.org/10.1029/2021GL093157.","productDescription":"e2021GL093157, 10 p.","ipdsId":"IP-128858","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl093157","text":"Publisher Index Page"},{"id":398379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, A. M.","contributorId":289920,"corporation":false,"usgs":false,"family":"Thomas","given":"A. M.","affiliations":[{"id":62287,"text":"Department of Earth Sciences, University of Oregon, Eugene, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":840066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inbal, A.","contributorId":289921,"corporation":false,"usgs":false,"family":"Inbal","given":"A.","email":"","affiliations":[{"id":62288,"text":"Department of Geophysics, Tel Aviv University, Tel Aviv, Israel","active":true,"usgs":false}],"preferred":false,"id":840067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Searcy, J.","contributorId":289922,"corporation":false,"usgs":false,"family":"Searcy","given":"J.","email":"","affiliations":[{"id":62289,"text":"Research Advanced Computing Services, University of Oregon, Eugene, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":840068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bürgmann, R.","contributorId":289923,"corporation":false,"usgs":false,"family":"Bürgmann","given":"R.","affiliations":[{"id":62290,"text":"Department of Earth and Planetary Science, University of California, Berkeley, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":840070,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221579,"text":"ofr20211031 - 2021 - Annotated bibliography of scientific research on Ventenata dubia published from 2010 to 2020","interactions":[],"lastModifiedDate":"2021-06-25T19:53:40.817282","indexId":"ofr20211031","displayToPublicDate":"2021-06-25T12:45:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1031","displayTitle":"Annotated Bibliography of Scientific Research on <i>Ventenata dubia</i> Published from 2010 to 2020","title":"Annotated bibliography of scientific research on Ventenata dubia published from 2010 to 2020","docAbstract":"<p>Integrating recent science into management decisions supports effective natural resource management and can lead to better resource outcomes. However, finding and accessing science information can be time consuming and costly. To assist in this process, the U.S. Geological Survey (USGS) is creating a series of annotated bibliographies on topics of management concern for western lands. Previously published reports introduced a methodology for preparing annotated bibliographies to facilitate the integration of recent, peer-reviewed science into resource management decisions. Therefore, relevant text from those efforts is reproduced here to frame the presentation. Invasive annual grasses are widely distributed throughout the western United States and threaten native ecosystems by altering fire regimes, replacing native plants, and altering grazing patterns, often with tremendous associated costs. One invasive annual grass, <i>Ventenata dubia</i> (hereafter, ventenata), was first introduced to the United States in the 1950s and has recently been identified as a management concern. Ventenata has a wide native geographic range, from Africa to northern Europe, and could thus potentially spread widely in the United States if left unmanaged. We compiled and summarized peer-reviewed journal articles, government reports, and data products on ventenata published between January 1, 2010, and August 27, 2020. We first conducted a systematic search of three reference databases and three government databases using the search phrase: “ventenata” OR “Ventenata dubia.” We refined the initial list of products by removing (1) duplicates, (2) products not written in English, (3) publications that were not focused in North America, (4) publications that were not published as research, data products, or scientific review articles in peer-reviewed journals or as formal technical reports, and (5) products for which ventenata was not a research focus or for which the study did not present new data or findings about ventenata. We summarized each product using a consistent structure (background, objectives, methods, location, findings, and implications) and identified the management topics (for example, species and population characteristics, habitat, control and management efforts) addressed by each product. We also noted which publications included new geospatial data. The review process for this annotated bibliography included an initial internal colleague review of each summary, requesting input on each summary from an author of the original publication, and a formal peer review. Our initial searches resulted in 505 total products, of which 29 met our criteria for inclusion. Nonnative invasive plants; weed management; behavior or demographics; dispersal, spread, vectors and pathways; site-scale habitat characteristics; survival; and weed management subtopic: herbicides were the management topics most commonly addressed. The online version of this annotated bibliography will be searchable by topic, location, and year; it will also include links to each original publication, where available. The studies compiled and summarized here may inform planning and management actions that seek to maintain and restore landscapes and control nonnative invasive species across the western United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20211031","usgsCitation":"Poor, E.E., Kleist, N.J., Bencin, H.L., Foster, A.C., and Carter, S.K., 2021, Annotated bibliography of scientific research on <i>Ventenata dubia</i> published from 2010 to 2020: U.S. Geological Survey Open-File Report 2021–1031, 26 p., https://doi.org/10.3133/ofr20211031.","productDescription":"iv, 26 p.","onlineOnly":"Y","ipdsId":"IP-121527","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":386678,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1031/ofr20211031.pdf","text":"Report","size":"1.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1031"},{"id":386677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1031/coverthb.jpg"}],"contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/fort/\" data-mce-href=\"https://www.usgs.gov/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Building C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2021-06-25","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Poor, Erin E. 0000-0002-8799-3193","orcid":"https://orcid.org/0000-0002-8799-3193","contributorId":260597,"corporation":false,"usgs":false,"family":"Poor","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":818152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":818153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencin, Heidi L. 0000-0002-0879-5392","orcid":"https://orcid.org/0000-0002-0879-5392","contributorId":222412,"corporation":false,"usgs":true,"family":"Bencin","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":818154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":260599,"corporation":false,"usgs":true,"family":"Foster","given":"Alison","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":818155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":818156,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222082,"text":"70222082 - 2021 - Point clouds of bridge generated by terrestrial laser scanner and images via Structure from Motion technique: Comparison study","interactions":[],"lastModifiedDate":"2021-09-10T11:36:45.766694","indexId":"70222082","displayToPublicDate":"2021-06-25T11:48:41","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Point clouds of bridge generated by terrestrial laser scanner and images via Structure from Motion technique: Comparison study","docAbstract":"<p><span>A collection of points representing an object in space is commonly called a point cloud. There are several techniques for collecting point clouds. This research is focused on a comparison study of two approaches: (1) collecting point clouds with a surveying grade terrestrial laser scanner (TLS) and (2) generating point clouds from drone-taken still images by utilizing Structure-from-Motion (SFM) technique. The paper's main objective is to compare the generated point clouds to each other and show the advantages and disadvantages of both techniques for structural health monitoring of bridges. To achieve the goal of the paper, we selected a pedestrian bridge for a comparison study. For simplicity, the study was limited to a single-span bridge. The bridge we studied is a composite steel and reinforced concrete (RC) bridge with a curved deck. A terrestrial laser scanner was used to scan the bridge from several positions, and point clouds were registered based on point-cloud to point-cloud matching. No targets were used during the collection of the point clouds by the laser scanner. In addition, still images of both bridges were taken by a drone. Based on a quantitative comparison of the results, the paper discusses the pros and cons of both approaches.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications","conferenceDate":"June 11-13, 2021","conferenceLocation":"Ankara, Turkey","language":"English","publisher":"IEEE","doi":"10.1109/HORA52670.2021.9461365","usgsCitation":"Takhirov, S., and Kayen, R., 2021, Point clouds of bridge generated by terrestrial laser scanner and images via Structure from Motion technique: Comparison study, <i>in</i> 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey, June 11-13, 2021, 5 p., https://doi.org/10.1109/HORA52670.2021.9461365.","productDescription":"5 p.","ipdsId":"IP-128547","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":389008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Oakland","otherGeospatial":"Snake Bridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.20753133296967,\n              37.8258321216012\n            ],\n            [\n              -122.20661401748656,\n              37.8258321216012\n            ],\n            [\n              -122.20661401748656,\n              37.826399909443\n            ],\n            [\n              -122.20753133296967,\n              37.826399909443\n            ],\n            [\n              -122.20753133296967,\n              37.8258321216012\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Takhirov, Shakzod","contributorId":261194,"corporation":false,"usgs":false,"family":"Takhirov","given":"Shakzod","email":"","affiliations":[{"id":52769,"text":"Department of Civil & Environmental Engineering, University of California, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":819456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, Robert E. 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":261195,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819457,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70229781,"text":"70229781 - 2021 - Proposed standard weight (Ws) equation and length categories for Utah Chub","interactions":[],"lastModifiedDate":"2022-03-17T16:07:09.637674","indexId":"70229781","displayToPublicDate":"2021-06-25T11:01:28","publicationYear":"2021","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}},"displayTitle":"Proposed standard weight (<i>W<sub>s</sub></i>) equation and length categories for Utah Chub","title":"Proposed standard weight (Ws) equation and length categories for Utah Chub","docAbstract":"<p><span>Condition indices, such as relative weight (</span><i>W<sub>r</sub></i><span>), provide a simple method for comparing length–weight relationships among populations. However, no standard weight (</span><i>W<sub>s</sub></i><span>) equation&nbsp;has been developed for Utah Chub&nbsp;</span><i>Gila</i><span>&nbsp;</span><i>atraria</i><span>, a species of important management focus in the Intermountain West. We obtained length–weight data for 30,541 Utah Chub from 24 populations in Idaho, Montana, Utah, and Wyoming. We used the regression line percentile (RLP), linear empirical percentile (EmP), and quadratic EmP methods to develop average (50th percentile) and above average (75th percentile)&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;equations. Additionally, Froese’s method was used to develop another&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;equation&nbsp;for Utah Chub. Length-related biases were detected in&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;equations developed using the RLP, 50th percentile quadratic EmP, and Froese methods. The linear EmP&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;equations did not exhibit length-related biases for the 50th and 75th percentiles. We propose using the 75th percentile linear EmP&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;equation&nbsp;for Utah Chub between 90 and 410&nbsp;mm TL. The EmP 75th percentile equation&nbsp;was log</span><sub>10</sub><span>(</span><i>W<sub>s</sub></i><span>)&nbsp;=&nbsp;−4.938&nbsp;+&nbsp;3.031·log</span><sub>10</sub><span>(TL), where&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;is weight in grams and TL is in millimeters. The English equivalent of this equation&nbsp;is log</span><sub>10</sub><span>(</span><i>W<sub>s</sub></i><span>)&nbsp;=&nbsp;−3.335&nbsp;+&nbsp;3.031·log</span><sub>10</sub><span>(TL), where&nbsp;</span><i>W<sub>s</sub></i><span>&nbsp;is weight in pounds and TL is in inches for 4–16-in Utah Chub. Additionally, we propose that minimum TLs of 100&nbsp;mm (4 in; stock), 200&nbsp;mm (8 in; quality), 250&nbsp;mm (10 in; preferred), 300&nbsp;mm (12 in; memorable), and 380&nbsp;mm (15 in; trophy) be used to calculate proportional size distribution (PSD) indices. Better understanding Utah Chub populations using&nbsp;</span><i>W<sub>r</sub></i><span>&nbsp;and PSDs will aid managers in assessing management strategies (e.g., biological controls) focused on Utah Chub.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10636","usgsCitation":"Black, A., Beard, Z., Flinders, J., and Quist, M.C., 2021, Proposed standard weight (Ws) equation and length categories for Utah Chub: North American Journal of Fisheries Management, v. 41, no. 5, p. 1299-1309, https://doi.org/10.1002/nafm.10636.","productDescription":"10 p.","startPage":"1299","endPage":"1309","ipdsId":"IP-127119","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":397255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Utah, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-109.050076,41.000659],[-109.051512,39.126095],[-109.059541,38.719888],[-109.060062,38.275489],[-109.041762,38.16469],[-109.045223,36.999084],[-110.47019,36.997997],[-110.50069,37.00426],[-111.278286,37.000465],[-114.0506,37.000396],[-114.052962,37.592783],[-114.048473,37.809861],[-114.050485,38.499955],[-114.040231,41.49169],[-114.041723,41.99372],[-114.598267,41.994511],[-114.831077,42.002207],[-115.031783,41.996008],[-116.368478,41.996281],[-117.026222,42.000252],[-117.026871,43.832479],[-117.01077,43.862269],[-116.98294,43.86771],[-116.976024,43.895548],[-116.977332,43.905812],[-116.963666,43.921363],[-116.96247,43.928336],[-116.963666,43.952644],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.967203,44.090936],[-116.943132,44.09406],[-116.933704,44.100039],[-116.894309,44.158114],[-116.895757,44.171267],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.971958,44.235677],[-116.975905,44.242844],[-117.031862,44.248635],[-117.042283,44.242775],[-117.047062,44.229742],[-117.05303,44.229076],[-117.067284,44.24401],[-117.089503,44.258234],[-117.098531,44.275533],[-117.107673,44.280763],[-117.121037,44.277585],[-117.143394,44.258262],[-117.170342,44.25889],[-117.198147,44.273828],[-117.216974,44.288357],[-117.222647,44.297578],[-117.217843,44.30718],[-117.203323,44.313024],[-117.189842,44.335007],[-117.196149,44.346362],[-117.235117,44.373853],[-117.242675,44.396548],[-117.22698,44.405583],[-117.215072,44.427162],[-117.215573,44.453746],[-117.225076,44.482346],[-117.200237,44.492027],[-117.181583,44.52296],[-117.161033,44.525166],[-117.149242,44.536151],[-117.14293,44.557236],[-117.147934,44.562143],[-117.146032,44.568603],[-117.124754,44.583834],[-117.120522,44.614658],[-117.098221,44.640689],[-117.095868,44.664737],[-117.080772,44.684161],[-117.07912,44.692175],[-117.061799,44.706654],[-117.062273,44.727143],[-117.03827,44.748179],[-117.013802,44.756841],[-116.998903,44.756382],[-116.972902,44.772581],[-116.9368,44.782881],[-116.9307,44.789881],[-116.933799,44.796781],[-116.931099,44.804781],[-116.896249,44.84833],[-116.865338,44.870599],[-116.852427,44.887577],[-116.838467,44.923601],[-116.832176,44.931373],[-116.850737,44.958113],[-116.858313,44.978761],[-116.846103,44.999878],[-116.844796,45.015312],[-116.848037,45.021728],[-116.841314,45.030907],[-116.825133,45.03784],[-116.797329,45.060267],[-116.78371,45.076972],[-116.783537,45.093605],[-116.774847,45.105536],[-116.754643,45.113972],[-116.729607,45.142091],[-116.724205,45.171501],[-116.709536,45.203015],[-116.70975,45.217243],[-116.703607,45.239757],[-116.691388,45.263739],[-116.675587,45.274867],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.558803,45.480076],[-116.548676,45.510385],[-116.535482,45.525079],[-116.523638,45.54661],[-116.502756,45.566608],[-116.48297,45.577008],[-116.463635,45.602785],[-116.463504,45.615785],[-116.487894,45.649769],[-116.523961,45.677639],[-116.535396,45.691734],[-116.538014,45.714929],[-116.535698,45.734231],[-116.546643,45.750972],[-116.559444,45.755189],[-116.593004,45.778541],[-116.632032,45.784979],[-116.646342,45.779815],[-116.665344,45.781998],[-116.680139,45.79359],[-116.697192,45.820135],[-116.711822,45.826267],[-116.736268,45.826179],[-116.759787,45.816167],[-116.782676,45.825376],[-116.788329,45.831928],[-116.787792,45.844267],[-116.796051,45.858473],[-116.814142,45.877551],[-116.84355,45.892273],[-116.859795,45.907264],[-116.869655,45.923799],[-116.875706,45.945008],[-116.886843,45.958617],[-116.892935,45.974396],[-116.911409,45.988912],[-116.91868,45.999875],[-116.923005,46.018293],[-116.942656,46.061],[-116.957372,46.075449],[-116.978938,46.080007],[-116.981962,46.084915],[-116.978823,46.095731],[-116.955263,46.102237],[-116.950276,46.123464],[-116.922648,46.160744],[-116.92187,46.167808],[-116.965841,46.203417],[-116.955264,46.23088],[-116.966742,46.256923],[-116.991134,46.276342],[-116.98491,46.289738],[-116.986688,46.296662],[-117.020663,46.314793],[-117.023149,46.334759],[-117.027744,46.338751],[-117.051735,46.343833],[-117.06263,46.352522],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.039813,46.425425],[-117.042657,47.760857],[-117.041107,48.124904],[-117.035178,48.370878],[-117.032351,48.999188],[-114.375977,49.00139],[-113.692982,48.997632],[-111.500812,48.996963],[-109.454023,49.001132],[-104.048736,48.999877],[-104.048054,48.500025],[-104.041662,47.862282],[-104.046822,46.000199],[-104.039977,45.124988],[-104.040128,44.999987],[-104.057698,44.997431],[-104.052583,42.650062],[-104.053249,41.001406],[-105.730421,40.996886],[-107.000606,41.003444],[-109.050076,41.000659]]]},\"properties\":{\"nam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 \"}}]}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Aaron","contributorId":288737,"corporation":false,"usgs":false,"family":"Black","given":"Aaron","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":838255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Zach","contributorId":288738,"corporation":false,"usgs":false,"family":"Beard","given":"Zach","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":838256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, Jon","contributorId":288739,"corporation":false,"usgs":false,"family":"Flinders","given":"Jon","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":838257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229784,"text":"70229784 - 2021 - Relative effectiveness of D-Frame dip nets, quatrefoil light traps, and towed ichthyoplankton nets for larval Muskellunge","interactions":[],"lastModifiedDate":"2022-03-17T16:01:01.725567","indexId":"70229784","displayToPublicDate":"2021-06-25T10:55:06","publicationYear":"2021","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":"Relative effectiveness of D-Frame dip nets, quatrefoil light traps, and towed ichthyoplankton nets for larval Muskellunge","docAbstract":"<p><span>Muskellunge&nbsp;</span><i>Esox masquinongy</i><span>&nbsp;are large, predatory game fish whose association with shallow, complex habitats is well documented, particularly during early life stages. Despite this association, relatively little guidance exists regarding effective sampling of Muskellunge larvae and previous efforts to sample larval Muskellunge have been met with limited success. Therefore, our objective was to determine the relative effectiveness of three sampling gears for capturing naturally produced Muskellunge larvae. Larvae were sampled during 2019 and 2020 at known Muskellunge spawning locations in Snipe Lake, Wisconsin, with D-frame dip nets (1,000-µm mesh), quatrefoil light traps, and towed ichthyoplankton nets (1,000-µm mesh). Sixty larval Muskellunge were captured across all gears, and catches in D-frame dip nets comprised nearly 87% (52 of 60) of the total catch. Furthermore, D-frame dip nets captured the broadest size range of larval Muskellunge (TL range&nbsp;=&nbsp;14–33&nbsp;mm). Greater effectiveness of D-frame dip nets in comparison with other gears is likely related to their ability to be used in and around structurally complex habitats without fouling or clogging. Our results suggest that D-frame dip nets should be considered as a cost- and time-effective tool for targeting larval Muskellunge in complex habitats.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10645","usgsCitation":"Krebs, J.E., Brandt, E.J., Dembkowski, D., and Isermann, D.A., 2021, Relative effectiveness of D-Frame dip nets, quatrefoil light traps, and towed ichthyoplankton nets for larval Muskellunge: North American Journal of Fisheries Management, v. 41, no. 5, p. 1334-1340, https://doi.org/10.1002/nafm.10645.","productDescription":"7 p.","startPage":"1334","endPage":"1340","ipdsId":"IP-127097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Vilas County","otherGeospatial":"Snipe Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.37807083129883,\n              45.934736460184986\n            ],\n            [\n              -89.34966087341309,\n              45.934736460184986\n            ],\n            [\n              -89.34966087341309,\n              45.944465613675035\n            ],\n            [\n              -89.37807083129883,\n              45.944465613675035\n            ],\n            [\n              -89.37807083129883,\n              45.934736460184986\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Krebs, Jared E.","contributorId":288746,"corporation":false,"usgs":false,"family":"Krebs","given":"Jared","email":"","middleInitial":"E.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Ethan J.","contributorId":288747,"corporation":false,"usgs":false,"family":"Brandt","given":"Ethan","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel J.","contributorId":288749,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221868,"text":"70221868 - 2021 - Evaluating establishment of conservation practices in the Conservation Reserve Program across the central and western United States","interactions":[],"lastModifiedDate":"2021-07-13T10:06:24.522759","indexId":"70221868","displayToPublicDate":"2021-06-25T10:53:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating establishment of conservation practices in the Conservation Reserve Program across the central and western United States","docAbstract":"<p><span>The U.S. Department of Agriculture's Conservation Reserve Program (CRP) is one of the largest private lands conservation programs in the United States, establishing perennial vegetation on environmentally sensitive lands formerly in agricultural production. Over its 35 year existence, the CRP has evolved to include diverse conservation practices (CPs) while concomitantly meeting its core goals of reducing soil erosion, improving water quality, and providing wildlife habitat. Ongoing threats to grasslands and decreased CRP acreage highlighted the need for a national evaluation of the effectiveness in providing the program's intended benefits. To address this need, we conducted edge-of-field surveys of erosional features, vegetation, and soil cover on 1 786 fields across 10 CPs and 14 central and western states from 2016 to 2018. We grouped practices into three types (grassland, wetland, and wildlife) and states into six regions for analysis. Across practice types, ≥99% of fields had no evidence of rills, gullies, or pedestaling from erosion, and 91% of fields had &lt;20% bare soil cover, with region being the strongest predictor of bare soil cover. Seventy-nine percent of fields had ≥50% grass cover, with cover differing by practice type and region. Native grass species were present on more fields in wildlife and wetland practices compared to grassland practices. Forb cover &gt;50% and native forb presence occurred most frequently in wildlife practices, with region being the strongest driver of differences. Federally listed noxious grass and forb species occurred on 23% and 61% of fields, respectively, but tended to constitute a small portion of cover in the field. Estimates from edge-of-field surveys and in-field validation sampling were strongly correlated, demonstrating the utility of the edge-of-field surveys. Our results provide the first national-level assessment of CRP establishment in three decades, confirming that enrolled wildlife and wetland practices often have diverse perennial vegetation cover and very few erosional features.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ac06f8","usgsCitation":"Vandever, M.W., Carter, S.K., Assal, T.J., Elgersma, K., Wen, A., Welty, J.L., Arkle, R.S., and Iovanna, R., 2021, Evaluating establishment of conservation practices in the Conservation Reserve Program across the central and western United States: Environmental Research Letters, v. 16, 074011, 16 p., https://doi.org/10.1088/1748-9326/ac06f8.","productDescription":"074011, 16 p.","ipdsId":"IP-122262","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}],"links":[{"id":451746,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac06f8","text":"Publisher Index Page"},{"id":436287,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XCC65W","text":"USGS data release","linkHelpText":"Presence of erosional features and cover of grasses, forbs, and bare ground on fields enrolled in grassland, wetland, and wildlife practices of the Conservation Reserve Program in the central and western United States from 2016 to 2018"},{"id":387123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Iowa, Idaho, Kansas, Missouri, Minnesota, Montana, North Dakota, Nebraska, New Mexico, Nevada, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-117.032351,48.999188],[-95.153711,48.998903],[-95.153314,49.384358],[-94.878454,49.333193],[-94.640803,48.741171],[-93.818375,48.534442],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-92.189091,46.717541],[-92.291976,46.503997],[-92.33859,46.050111],[-92.707702,45.894901],[-92.887929,45.639006],[-92.646602,45.441635],[-92.807362,44.758909],[-91.351688,43.914545],[-91.07371,43.274746],[-91.174692,43.038713],[-91.05481,42.744686],[-90.720209,42.640758],[-90.168358,42.075779],[-90.364128,41.579633],[-91.050328,41.400049],[-91.113648,41.241401],[-90.955201,40.986805],[-91.154293,40.653596],[-91.401482,40.559458],[-91.494878,40.036453],[-91.369953,39.745042],[-90.721593,39.23273],[-90.653164,38.916141],[-90.113327,38.849306],[-90.367013,38.250054],[-89.952499,37.883218],[-89.516685,37.692762],[-89.438275,37.161287],[-89.102879,36.9697],[-89.168723,36.671892],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.431822,35.397652],[-94.485528,33.663388],[-94.386086,33.544923],[-94.070395,33.574561],[-94.0427,32.056012],[-93.523248,31.037842],[-93.765822,30.333318],[-93.702436,30.112721],[-93.922744,29.818808],[-93.852868,29.675885],[-94.731047,29.369141],[-94.532348,29.5178],[-94.767246,29.525523],[-94.724616,29.774766],[-94.965963,29.70033],[-94.894234,29.338],[-95.16525,29.113566],[-94.73132,29.338066],[-94.803695,29.279237],[-96.341617,28.417334],[-95.983106,28.641942],[-96.221784,28.580364],[-96.287942,28.683164],[-96.473694,28.57324],[-96.664534,28.696904],[-96.481836,28.407844],[-96.790235,28.383926],[-96.898123,28.152881],[-97.21535,28.076575],[-97.040618,28.028708],[-97.183455,27.833231],[-97.354614,27.849572],[-97.296598,27.613947],[-97.399398,27.344735],[-97.640111,27.270943],[-97.485149,27.250841],[-97.552325,26.867633],[-97.145567,25.971132],[-97.36542,25.849826],[-99.110855,26.426278],[-99.452316,27.062669],[-99.556812,27.614336],[-99.841708,27.766464],[-100.280518,28.267969],[-100.785521,29.228137],[-101.441059,29.753451],[-102.341033,29.869305],[-102.698347,29.695591],[-103.107811,29.013812],[-103.427754,29.042334],[-104.46652,29.609296],[-104.924796,30.604832],[-106.158218,31.438885],[-106.381039,31.73211],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-117.032351,48.999188]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-97.240849,26.411504],[-97.383531,26.875521],[-97.366771,27.333276],[-96.946988,28.026522],[-96.403206,28.371475],[-96.929053,27.99044],[-97.276091,27.472145],[-97.370731,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 \"}}]}","volume":"16","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Assal, Timothy J. 0000-0001-6342-2954","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":258157,"corporation":false,"usgs":false,"family":"Assal","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":819091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elgersma, Kenneth 0000-0001-9012-8590","orcid":"https://orcid.org/0000-0001-9012-8590","contributorId":260896,"corporation":false,"usgs":false,"family":"Elgersma","given":"Kenneth","email":"","affiliations":[{"id":34268,"text":"University of Northern Iowa","active":true,"usgs":false}],"preferred":false,"id":819092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wen, Ai","contributorId":260897,"corporation":false,"usgs":false,"family":"Wen","given":"Ai","email":"","affiliations":[{"id":34268,"text":"University of Northern Iowa","active":true,"usgs":false}],"preferred":false,"id":819093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","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":819094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":819095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iovanna, Rich","contributorId":207528,"corporation":false,"usgs":false,"family":"Iovanna","given":"Rich","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":819096,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70237289,"text":"70237289 - 2021 - Review: “Jacob’s Zoo”— How using Jacob’s method for aquifer testing leads to more intuitive understanding of aquifer characteristics","interactions":[],"lastModifiedDate":"2022-10-06T14:28:43.014932","indexId":"70237289","displayToPublicDate":"2021-06-25T09:25:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Review: “Jacob’s Zoo”— How using Jacob’s method for aquifer testing leads to more intuitive understanding of aquifer characteristics","docAbstract":"<p><span>The interpretation of aquifer responses to pumping tests is an important tool for assessing aquifer geometry and properties, which are critical in the assessment of water resources or in environmental remediation. However, the responses of aquifers, measured by time-drawdown relationships in monitoring wells, are nonunique solutions that are affected by many factors. Jacob’s Zoo is a collection of graphical interpretations that allows students and practitioners to develop an intuitive feel for how natural hydrogeological systems work, and develop a set of skills that provide a better understanding of aquifer properties far beyond interpretation of pumping tests. Jacob’s Zoo, based on the work of Jacob (1950), fosters a deeper understanding, although few practitioners realize the full utility of the method. Jacob CE (1950) Flow of groundwater, In: Rouse H (ed) Engineering Hydraulics, Wiley, New York. P 321–386.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-021-02363-7","usgsCitation":"Pfannkuch, H., Mooers, H.D., Siegel, D.I., Quinn, J.J., Rosenberry, D.O., and Alexander, S.C., 2021, Review: “Jacob’s Zoo”— How using Jacob’s method for aquifer testing leads to more intuitive understanding of aquifer characteristics: Hydrogeology Journal, v. 29, p. 2001-2015, https://doi.org/10.1007/s10040-021-02363-7.","productDescription":"15 p.","startPage":"2001","endPage":"2015","ipdsId":"IP-121619","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467235,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1863219","text":"External Repository"},{"id":408034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfannkuch, Hans-Olaf","contributorId":297386,"corporation":false,"usgs":false,"family":"Pfannkuch","given":"Hans-Olaf","email":"","affiliations":[{"id":64391,"text":"University of Minnesota - Emeritus","active":true,"usgs":false}],"preferred":false,"id":853992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooers, Howard D. 0000-0001-7160-1135","orcid":"https://orcid.org/0000-0001-7160-1135","contributorId":297387,"corporation":false,"usgs":false,"family":"Mooers","given":"Howard","email":"","middleInitial":"D.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":853993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siegel, Donald I.","contributorId":178130,"corporation":false,"usgs":false,"family":"Siegel","given":"Donald","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":853994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinn, John J.","contributorId":297388,"corporation":false,"usgs":false,"family":"Quinn","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":17946,"text":"Argonne National Laboratory","active":true,"usgs":false}],"preferred":false,"id":853995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":853996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Scott C.","contributorId":173842,"corporation":false,"usgs":false,"family":"Alexander","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854013,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70221694,"text":"70221694 - 2021 - Local fruit availability and en route wind conditions are poor predictors of bird abundance and composition during fall migration in coastal Yucatán Peninsula","interactions":[],"lastModifiedDate":"2021-10-06T14:57:58.320227","indexId":"70221694","displayToPublicDate":"2021-06-25T09:07:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Local fruit availability and en route wind conditions are poor predictors of bird abundance and composition during fall migration in coastal Yucatán Peninsula","docAbstract":"<p><span>In migratory stopover habitats, bird abundance and composition change on a near daily basis. On any given day, the local bird community should reflect local environmental conditions but also the environments that birds encountered previously along their migratory route. For example, during fall migration, the coast of the Yucatán Peninsula in Mexico receives birds that have just crossed the Gulf of Mexico and their abundance and composition may be associated with regional factors such as wind conditions experienced on previous dates. Other factors, such as local fruit availability, may also influence daily variation in bird abundance and composition. Using mist net data from 2 coastal national parks in the Yucatán Peninsula during fall migration in 2016 and 2017, we did not find a strong association between daily changes in bird abundance or community composition with wind conditions and ripe fruit availability. Thus, despite wind and fruit being known to be important to individual birds (influencing stopover duration and departure decisions), their effects might not scale up to be drivers of population and community level variation. On the other hand, we found that the 2 sites shared only about half of their species and those shared species had different temporal abundance patterns at each site. Site and year differences in temporal patterns of migration might arise because populations of the same species are on different migration routes and schedules. While bird arrival is not timed to hit peaks in fruit production in our study sites, whether bird–resource mismatch is a general characteristic of tropical coastal stopover habitats requires further research. If birds on migration have adapted to seasonal variation in food availability, they might be equipped to deal with the additional variability in food supply that is expected to occur with climate change.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/19-00131","usgsCitation":"Feldman, R., Celis-Murillo, A., Deppe, J.L., and Dorantes-Euan, A., 2021, Local fruit availability and en route wind conditions are poor predictors of bird abundance and composition during fall migration in coastal Yucatán Peninsula: The Wilson Journal of Ornithology, v. 132, no. 4, p. 850-867, https://doi.org/10.1676/19-00131.","productDescription":"18 p.","startPage":"850","endPage":"867","ipdsId":"IP-111815","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502614,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":386849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Yucatan Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.47216796875,\n              18.417078658661257\n            ],\n            [\n              -87.36328125,\n              20.076570104545173\n            ],\n            [\n              -86.77001953125,\n              21.14599216495789\n            ],\n            [\n              -86.94580078125,\n              21.616579336740603\n            ],\n            [\n              -88.87939453125,\n              21.596150576461426\n            ],\n            [\n              -90.10986328125,\n              21.289374355860424\n            ],\n            [\n              -90.8349609375,\n              20.427012814257385\n            ],\n            [\n              -91.34033203125,\n              18.8543103618898\n            ],\n            [\n              -91.47216796875,\n              18.417078658661257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feldman, Richard E","contributorId":260664,"corporation":false,"usgs":false,"family":"Feldman","given":"Richard E","affiliations":[{"id":52633,"text":"Centro de Investigacion Cientifica de Yucatan Merida, Yucatan MEXICO","active":true,"usgs":false}],"preferred":false,"id":818444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celis-Murillo, Antonio 0000-0002-3371-6529","orcid":"https://orcid.org/0000-0002-3371-6529","contributorId":237851,"corporation":false,"usgs":true,"family":"Celis-Murillo","given":"Antonio","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deppe, Jill L.","contributorId":173619,"corporation":false,"usgs":false,"family":"Deppe","given":"Jill","email":"","middleInitial":"L.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":818446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorantes-Euan, Alfredo","contributorId":260665,"corporation":false,"usgs":false,"family":"Dorantes-Euan","given":"Alfredo","email":"","affiliations":[{"id":52633,"text":"Centro de Investigacion Cientifica de Yucatan Merida, Yucatan MEXICO","active":true,"usgs":false}],"preferred":false,"id":818447,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244310,"text":"70244310 - 2021 - Preliminary estimates of sequoia mortality in the 2020 Castle Fire","interactions":[],"lastModifiedDate":"2023-06-13T13:47:09.869489","indexId":"70244310","displayToPublicDate":"2021-06-25T08:39:13","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Preliminary estimates of sequoia mortality in the 2020 Castle Fire","docAbstract":"<p><span>Although some of California’s giant sequoia trees have stood for thousands of years and are adapted to withstand frequent low and mixed severity fires (Stephenson 1996), preliminary estimates suggest that the 2020 Castle Fire killed between 31% to 42% of large sequoias within the Castle Fire footprint, or 10% to 14% of all large sequoias across the tree’s natural range in the Sierra Nevada. This translates to an estimated loss of 7,500 to 10,600 large sequoias (those with trunk diameters of 4 feet or more). These estimates may change as new data are collected.</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Stephenson, N.L., and Brigham, C., 2021, Preliminary estimates of sequoia mortality in the 2020 Castle Fire, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-130770","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418040,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/preliminary-estimates-of-sequoia-mortality-in-the-2020-castle-fire.htm"}],"country":"United States","state":"California","otherGeospatial":"Castle Fire area, Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.08163897888238,\n              36.78036660961351\n            ],\n            [\n              -119.08163897888238,\n              36.15082852322985\n            ],\n            [\n              -118.37364517679136,\n              36.15082852322985\n            ],\n            [\n              -118.37364517679136,\n              36.78036660961351\n            ],\n            [\n              -119.08163897888238,\n              36.78036660961351\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brigham, Christy","contributorId":306268,"corporation":false,"usgs":false,"family":"Brigham","given":"Christy","affiliations":[{"id":66392,"text":"National Park Service, Sequoia and Kings Canyon National Parks","active":true,"usgs":false}],"preferred":false,"id":875327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223131,"text":"70223131 - 2021 - Maintenance of nest quality in Adélie penguins Pygoscelis adeliae: An additional benefit to life in the center","interactions":[],"lastModifiedDate":"2021-08-12T13:15:43.236439","indexId":"70223131","displayToPublicDate":"2021-06-25T08:13:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of nest quality in Adélie penguins Pygoscelis adeliae: An additional benefit to life in the center","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In colonial seabirds, differences in the nesting or fledging success have been associated with differences in nest position within the breeding aggregation (subcolony): less successful nests are located on the periphery, with more successful nests closer to the center. For<span>&nbsp;</span><i>Pygoscelid</i><span>&nbsp;</span>penguins, central nests tend to be larger, with nest size being an indicator of individual quality because stones must be gathered singly, so more stones reflect more individual effort. Competition for nest materials, including the collection of materials from another’s nest, has also frequently been described in penguins and other colonial seabirds<strong>.</strong><span>&nbsp;</span>We used the data collected during the incubation stage from a total of 20 subcolonies at two separate breeding colonies of Adélie penguins (<i>Pygoscelis adeliae)</i><span>&nbsp;</span>on Ross Island (Antarctica) to test the influence of nest position on breeding success. We also investigated how competition for nest stones could occur at different intensities depending on size of the subcolony, nest position, and quality within a subcolony. We found that peripheral nests experienced lower breeding success and higher number of individuals attempting to remove stones with higher removal success rates than from nests toward the center. The higher costs associated with maintaining and defending nests that incur higher removal pressure could be an additional factor involved in the lower breeding success of peripheral nests.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s00300-021-02894-5","usgsCitation":"Morandini, V., Dugger, K., Lescroël, A., Schmidt, A., and Ballard, G., 2021, Maintenance of nest quality in Adélie penguins Pygoscelis adeliae: An additional benefit to life in the center: Polar Biology, v. 44, https://doi.org/10.1007/s00300-021-02894-5.","productDescription":"10 p.","startPage":"1562","ipdsId":"IP-100363","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":387902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","edition":"1553","noUsgsAuthors":false,"publicationDate":"2021-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Morandini, Virginia","contributorId":264177,"corporation":false,"usgs":false,"family":"Morandini","given":"Virginia","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lescroël, Amélie","contributorId":264179,"corporation":false,"usgs":false,"family":"Lescroël","given":"Amélie","affiliations":[{"id":54398,"text":"point blue conserv science","active":true,"usgs":false}],"preferred":false,"id":821078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Annie","contributorId":264178,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","affiliations":[{"id":54398,"text":"point blue conserv science","active":true,"usgs":false}],"preferred":false,"id":821077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ballard, Grant","contributorId":264180,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","affiliations":[{"id":54398,"text":"point blue conserv science","active":true,"usgs":false}],"preferred":false,"id":821079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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