Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during the spawning season in spring 2015 were incorporated into capture-recapture analyses of population dynamics. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS. Shortnose suckers and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake. Characteristics of the spawning migrations in 2015, such as the effects of temperature on the timing of the migrations, were similar to past years.
Capture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for 13,617 individuals, and analyses for the subpopulation that spawns in the rivers included 39,321 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than or equal to 0.86) between 1999 and 2013. Survival was notably lower for males from the rivers in 2000, 2006, and 2012. Survival probabilities were lower for males from the shoreline areas in 2002. Between 2001 and 2014, the abundance of males in the lakeshore spawning subpopulation decreased by at least 59 percent and the abundance of females decreased by at least 53 percent. By combining information from capture-recapture models and size composition data, we concluded that the abundance of both sexes in the river spawning subpopulation of LRS likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2014. Capture-recapture analyses for SNS included encounter histories for 20,981 individuals. Most annual survival estimates between 2005 and 2009 were high (greater than 0.88), but both sexes of SNS experienced lower and more variable survival in 2001–04 and 2010–13. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 77 percent and the abundance of females decreased by 74 percent between 2001 and 2014. Decreases in abundance for both sexes likely are greater than these estimates indicate. Despite relatively high survival in most years, we conclude that both species have experienced substantial decreases in the abundance of spawning adults because losses from mortality have not been balanced by recruitment of new individuals. The status of the endangered sucker populations in Upper Klamath Lake remains worrisome, especially for SNS.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171059","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B.S., and Harris, A.C., 2017, Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2015: U.S. Geological Survey Open-File Report 2017–1059, 38 p., https://doi.org/10.3133/ofr20171059.","productDescription":"iv, 38 p.","onlineOnly":"Y","ipdsId":"IP-081967","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":344162,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1059/ofr20171059.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1059"},{"id":344161,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1059/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.17,\n 42.2\n ],\n [\n -121.75,\n 42.2\n ],\n [\n -121.75,\n 42.62\n ],\n [\n -122.17,\n 42.62\n ],\n [\n -122.17,\n 42.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
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Grassland bird populations are showing some of the greatest rates of decline of any North American birds, prompting measures to protect and improve important habitat. We assessed how vegetation structure and composition, habitat features often targeted for management, affected territory and nest site selection by Grasshopper Sparrows (Ammodramus savannarum ammolegus) in southeastern Arizona. To identify features important to males establishing territories, we compared vegetation characteristics of known territories and random samples on 2 sites over 5 years. We examined habitat selection patterns of females by comparing characteristics of nest sites with territories over 3 years. Males selected territories in areas of sparser vegetation structure and more tall shrubs (>2 m) than random plots on the site with low shrub densities. Males did not select territories based on the proportion of exotic grasses. Females generally located nest sites in areas with lower small shrub (1–2 m tall) densities than territories overall when possible and preferentially selected native grasses for nest construction. Whether habitat selection was apparent depended upon the range of vegetation structure that was available. We identified an upper threshold above which grass structure seemed to be too high and dense for Grasshopper Sparrows. Our results suggest that some management that reduces vegetative structure may benefit this species in desert grasslands at the nest and territory scale. However, we did not assess initial male habitat selection at a broader landscape scale where their selection patterns may be different and could be influenced by vegetation density and structure outside the range of values sampled in this study.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-210.1","usgsCitation":"Ruth, J.M., and Skagen, S., 2017, Territory and nest site selection patterns by Grasshopper Sparrows in southeastern Arizona: The Condor, v. 119, no. 3, p. 469-483, https://doi.org/10.1650/CONDOR-16-210.1.","productDescription":"15 p.","startPage":"469","endPage":"483","ipdsId":"IP-081340","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469671,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-210.1","text":"Publisher Index Page"},{"id":438261,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3XV1","text":"USGS data release","linkHelpText":"Habitat Data for Arizona Grasshopper Sparrow Territories, Nest Plots, and Random Transects, 2009 to 2013"},{"id":344158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Santa Cruz County","otherGeospatial":"Audobon Appleton-Whittell Research Ranch, Davis Pasture","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5,\n 31.61\n ],\n [\n -110.52,\n 31.61\n ],\n [\n -110.52,\n 31.59\n ],\n [\n -110.5,\n 31.59\n ],\n [\n -110.5,\n 31.61\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.69,\n 31.71\n ],\n [\n -110.71,\n 31.71\n ],\n [\n -110.71,\n 31.69\n ],\n [\n -110.69,\n 31.69\n ],\n [\n -110.69,\n 31.71\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312a3e4b0ec1a4887189b","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":705898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":705899,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70181757,"text":"tm7E1 - 2017 - Efficient processing of two-dimensional arrays with C or C++","interactions":[],"lastModifiedDate":"2017-07-27T15:55:54","indexId":"tm7E1","displayToPublicDate":"2017-07-20T11:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-E1","title":"Efficient processing of two-dimensional arrays with C or C++","docAbstract":"Because fast and efficient serial processing of raster-graphic images and other two-dimensional arrays is a requirement in land-change modeling and other applications, the effects of 10 factors on the runtimes for processing two-dimensional arrays with C and C++ are evaluated in a comparative factorial study. This study’s factors include the choice among three C or C++ source-code techniques for array processing; the choice of Microsoft Windows 7 or a Linux operating system; the choice of 4-byte or 8-byte array elements and indexes; and the choice of 32-bit or 64-bit memory addressing. This study demonstrates how programmer choices can reduce runtimes by 75 percent or more, even after compiler optimizations. Ten points of practical advice for faster processing of two-dimensional arrays are offered to C and C++ programmers. Further study and the development of a C and C++ software test suite are recommended.
Key words: array processing, C, C++, compiler, computational speed, land-change modeling, raster-graphic image, two-dimensional array, software efficiency
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section E: Evaluating and Improving Computational Performance in Book 7: Automated Data Processing and Computations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7E1","usgsCitation":"Donato, D.I., 2017, Efficient processing of two-dimensional arrays with C or C++: U.S. Geological Survey Techniques and Methods Report 7–E1, 58 pages, https://doi.org/10.3133/tm7E1.","productDescription":"Report: ix, 58 p.; Appendixes; Data Release","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066329","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":342931,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/e01/appendix/tm7e1_erc-appendix6.zip","text":"Appendix 6","size":"7.82 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Scripts and Code for Conducting Timing Tests on Windows"},{"id":342929,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/e01/appendix/tm7e1_erc-appendix4.zip","text":"Appendix 4","size":"11.4 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Source Code for C++ Test Programs"},{"id":342114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/e01/tm7e1.pdf","text":"Report","size":"2.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 7-E1"},{"id":342930,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/e01/appendix/tm7e1_erc-appendix5.zip","text":"Appendix 5","size":"5.34 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Scripts and Code for Conducting Timing Tests on Linux"},{"id":342928,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/e01/appendix/tm7e1_erc-appendix3.zip","text":"Appendix 3","size":"11.3 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Source Code for C Test Programs"},{"id":342115,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W66HZS","text":"USGS data release","description":"USGS data release","linkHelpText":"Runtimes for Tests of Array-Processing Speed: Factorial Tests Using C and C++ Under Windows and Linux"},{"id":342113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/e01/coverthb2.jpg"}],"publicComments":"This report is Chapter 1 of Section E: Evaluating and Improving Computational Performance in Book 7: Automated Data Processing and Computations.","contact":"Director, Eastern Geographic Science Center
U.S. Geological Survey
521 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Worldwide populations of freshwater eels have declined with one of the contributing causes related to mortality during passage through hydropower turbines. An inherent trade‐off underlies turbine management where the competing demand for more hydropower comes at the expense of eel survival. A win–win solution exists when an option performs better on all competing demands compared to other options. A predictive model for eel migration based on a recent telemetry study was used to develop decision rules for turbine management in the Shenandoah River system. The performance of alternative decision rules was compared to the status quo policy to search for win–win solutions. Decision rules were defined by the probability of eel movement and were evaluated by the probabilities of false positive and false negative errors. The exact value of the cut‐off probability used in the decision rule will need to be determined through negotiation between stakeholders, but a range of cut‐off probabilities resulted in a win–win situation with both reduced eel mortality and increased turbine operation relative to the current shutdown strategy. Monitoring the implementation is needed to evaluate and update the predictive model and to refine the decision rule. Although the decision is framed for the Shenandoah River system, the analytical approach could be used to develop decision rules for turbine shutdown policy in other areas.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3182","usgsCitation":"Smith, D.R., Paul L. Fackler, Eyler, S.M., Villegas, L., and Welsh, S., 2017, Optimization of decision rules for hydroelectric operation to reduce both eel mortality and unnecessary turbine shutdown: A search for a win-win solution: Rivers Research and Applications, v. 33, no. 8, p. 1279-1285, https://doi.org/10.1002/rra.3182.","productDescription":"7 p.","startPage":"1279","endPage":"1285","ipdsId":"IP-084849","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Shenandoah watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.75,\n 38.86751337001198\n ],\n [\n -78.8763427734375,\n 38.974357249228206\n ],\n [\n -79.07684326171875,\n 38.739088441876866\n ],\n [\n -79.29931640625,\n 38.41271038284709\n ],\n [\n -79.4586181640625,\n 38.16911413556086\n ],\n [\n -79.25537109375,\n 38.07620357665235\n ],\n [\n -78.70330810546875,\n 38.8504034216919\n ],\n [\n -78.75,\n 38.86751337001198\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paul L. Fackler","contributorId":238522,"corporation":false,"usgs":false,"family":"Paul L. Fackler","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":796347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eyler, Sheila M.","contributorId":238523,"corporation":false,"usgs":false,"family":"Eyler","given":"Sheila","email":"","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villegas, Laura","contributorId":238524,"corporation":false,"usgs":false,"family":"Villegas","given":"Laura","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":796349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":796350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206544,"text":"70206544 - 2017 - Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed","interactions":[],"lastModifiedDate":"2019-11-08T09:46:41","indexId":"70206544","displayToPublicDate":"2017-07-20T09:39:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed","docAbstract":"High‐resolution regional‐scale hydrologic models were used to quantify the response of late 21st century runoff from the Gulf of Alaska (GOA) watershed to changes in regional climate and glacier extent. NCEP Climate Forecast System Reanalysis data were combined with five Coupled Model Intercomparison Project Phase 5 general circulation models (GCMs) for two representative concentration pathway (RCP) scenarios (4.5 and 8.5) to develop meteorological forcing for the period 2070–2099. A hypsographic model was used to estimate future glacier extent given assumed equilibrium line altitude (ELA) increases of 200 and 400 m. GCM predictions show an increase in annual precipitation of 12% for RCP 4.5 and 21% for RCP 8.5, and an increase in annual temperature of 2.5°C for RCP 4.5 and 4.3°C for RCP 8.5, averaged across the GOA. Scenarios with perturbed climate and glaciers predict annual GOA‐wide runoff to increase by 9% for RCP4.5/ELA200 case and 14% for the RCP8.5/ELA400 case. The glacier runoff decreased by 14% for RCP4.5/ELA200 and by 34% for the RCP8.5/ELA400 case. Intermodel variability in annual runoff was found to be approximately twice the variability in precipitation input. Additionally, there are significant changes in runoff partitioning and increases in snowpack runoff are dominated by increases in rain‐on‐snow events. We present results aggregated across the entire GOA and also for individual watersheds to illustrate the range in hydrologic regime changes and explore the sensitivities of these results by independently perturbing only climate forcings and only glacier cover.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR020033","usgsCitation":"Beamer, J., Hill, D., Mcgrath, D., Arendt, A.A., and Kienholz, C., 2017, Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed: Water Resources Research, v. 53, no. 9, p. 7502-7520, https://doi.org/10.1002/2016WR020033.","productDescription":"19 p.","startPage":"7502","endPage":"7520","ipdsId":"IP-081123","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":369083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Yukon","otherGeospatial":"Gulf of Alaska watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.65234374999997,\n 59.80063426102869\n ],\n [\n -134.560546875,\n 50.736455137010665\n ],\n [\n -123.662109375,\n 52.74959372674114\n ],\n [\n -137.197265625,\n 64.92354174306496\n ],\n [\n -163.65234374999997,\n 59.80063426102869\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beamer, Jordan","contributorId":220414,"corporation":false,"usgs":false,"family":"Beamer","given":"Jordan","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":774924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Dave","contributorId":220415,"corporation":false,"usgs":false,"family":"Hill","given":"Dave","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":774925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arendt, Anthony A.","contributorId":200572,"corporation":false,"usgs":false,"family":"Arendt","given":"Anthony","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":774926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kienholz, Christian","contributorId":220416,"corporation":false,"usgs":false,"family":"Kienholz","given":"Christian","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":774927,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189682,"text":"70189682 - 2017 - Evolutionary dynamics of an expressed MHC class IIβ locus in the Ranidae (Anura) uncovered by genome walking and high-throughput amplicon sequencing","interactions":[],"lastModifiedDate":"2017-07-20T09:32:30","indexId":"70189682","displayToPublicDate":"2017-07-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1383,"text":"Developmental and Comparative Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary dynamics of an expressed MHC class IIβ locus in the Ranidae (Anura) uncovered by genome walking and high-throughput amplicon sequencing","docAbstract":"The Major Histocompatibility Complex (MHC) is a genomic region encoding immune loci that are important and frequently used markers in studies of adaptive genetic variation and disease resistance. Given the primary role of infectious diseases in contributing to global amphibian declines, we characterized the hypervariable exon 2 and flanking introns of the MHC Class IIβ chain for 17 species of frogs in the Ranidae, a speciose and cosmopolitan family facing widespread pathogen infections and declines. We find high levels of genetic variation concentrated in the Peptide Binding Region (PBR) of the exon. Ten codons are under positive selection, nine of which are located in the mammal-defined PBR. We hypothesize that the tenth codon (residue 21) is an amphibian-specific PBR site that may be important in disease resistance. Trans-species and trans-generic polymorphisms are evident from exon-based genealogies, and co-phylogenetic analyses between intron, exon and mitochondrial based reconstructions reveal incongruent topologies, likely due to different locus histories. We developed two sets of barcoded adapters that reliably amplify a single and likely functional locus in all screened species using both 454 and Illumina based sequencing methods. These primers provide a resource for multiplexing and directly sequencing hundreds of samples in a single sequencing run, avoiding the labour and chimeric sequences associated with cloning, and enabling MHC population genetic analyses. Although the primers are currently limited to the 17 species we tested, these sequences and protocols provide a useful genetic resource and can serve as a starting point for future disease, adaptation and conservation studies across a range of anuran taxa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dci.2017.05.022","usgsCitation":"Mulder, K.P., Cortazar-Chinarro, M., Harris, D.J., Crottini, A., Grant, E., Fleischer, R.C., and Savage, A., 2017, Evolutionary dynamics of an expressed MHC class IIβ locus in the Ranidae (Anura) uncovered by genome walking and high-throughput amplicon sequencing: Developmental and Comparative Immunology, v. 76, p. 177-188, https://doi.org/10.1016/j.dci.2017.05.022.","productDescription":"12 p.","startPage":"177","endPage":"188","ipdsId":"IP-081916","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://stars.library.ucf.edu/scopus2015/5387","text":"Publisher Index Page"},{"id":344105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1bfe4b0ec1a4885daa6","contributors":{"authors":[{"text":"Mulder, Kevin P.","contributorId":194918,"corporation":false,"usgs":false,"family":"Mulder","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":705783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortazar-Chinarro, Maria","contributorId":194919,"corporation":false,"usgs":false,"family":"Cortazar-Chinarro","given":"Maria","email":"","affiliations":[{"id":33333,"text":"Uppsala Univ.","active":true,"usgs":false}],"preferred":false,"id":705784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, D. James","contributorId":194920,"corporation":false,"usgs":false,"family":"Harris","given":"D.","email":"","middleInitial":"James","affiliations":[{"id":27386,"text":"CIBIO / InBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva & Faculdade de Ciencias, Universidade do Porto, Vairao, Portugal","active":true,"usgs":false}],"preferred":false,"id":705785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crottini, Angelica","contributorId":194921,"corporation":false,"usgs":false,"family":"Crottini","given":"Angelica","email":"","affiliations":[{"id":27386,"text":"CIBIO / InBIO - Rede de Investigação em Biodiversidade e Biologia Evolutiva & Faculdade de Ciencias, Universidade do Porto, Vairao, Portugal","active":true,"usgs":false}],"preferred":false,"id":705786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":3696,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":705782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleischer, Robert C.","contributorId":105421,"corporation":false,"usgs":true,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":705787,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Savage, Anna E.","contributorId":101926,"corporation":false,"usgs":true,"family":"Savage","given":"Anna E.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false},{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":705788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189067,"text":"sir20175056 - 2017 - Water-quality models to assess algal community dynamics, water quality, and fish habitat suitability for two agricultural land-use dominated lakes in Minnesota, 2014","interactions":[],"lastModifiedDate":"2017-07-21T10:09:46","indexId":"sir20175056","displayToPublicDate":"2017-07-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5056","title":"Water-quality models to assess algal community dynamics, water quality, and fish habitat suitability for two agricultural land-use dominated lakes in Minnesota, 2014","docAbstract":"Fish habitat can degrade in many lakes due to summer blue-green algal blooms. Predictive models are needed to better manage and mitigate loss of fish habitat due to these changes. The U.S. Geological Survey (USGS), in cooperation with the Minnesota Department of Natural Resources, developed predictive water-quality models for two agricultural land-use dominated lakes in Minnesota—Madison Lake and Pearl Lake, which are part of Minnesota’s sentinel lakes monitoring program—to assess algal community dynamics, water quality, and fish habitat suitability of these two lakes under recent (2014) meteorological conditions. The interaction of basin processes to these two lakes, through the delivery of nutrient loads, were simulated using CE-QUAL-W2, a carbon-based, laterally averaged, two-dimensional water-quality model that predicts distribution of temperature and oxygen from interactions between nutrient cycling, primary production, and trophic dynamics.
The CE-QUAL-W2 models successfully predicted water temperature and dissolved oxygen on the basis of the two metrics of mean absolute error and root mean square error. For Madison Lake, the mean absolute error and root mean square error were 0.53 and 0.68 degree Celsius, respectively, for the vertical temperature profile comparisons; for Pearl Lake, the mean absolute error and root mean square error were 0.71 and 0.95 degree Celsius, respectively, for the vertical temperature profile comparisons. Temperature and dissolved oxygen were key metrics for calibration targets. These calibrated lake models also simulated algal community dynamics and water quality. The model simulations presented potential explanations for persistently large total phosphorus concentrations in Madison Lake, key differences in nutrient concentrations between these lakes, and summer blue-green algal bloom persistence.
Fish habitat suitability simulations for cool-water and warm-water fish indicated that, in general, both lakes contained a large proportion of good-growth habitat and a sustained period of optimal growth habitat in the summer, without any periods of lethal oxythermal habitat. For Madison and Pearl Lakes, examples of important cool-water fish, particularly game fish, include northern pike (Esox lucius), walleye (Sander vitreus), and black crappie (Pomoxis nigromaculatus); examples of important warm-water fish include bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), and smallmouth bass (Micropterus dolomieu). Sensitivity analyses were completed to understand lake response effects through the use of controlled departures on certain calibrated model parameters and input nutrient loads. These sensitivity analyses also operated as land-use change scenarios because alterations in agricultural practices, for example, could potentially increase or decrease nutrient loads.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175056","collaboration":"Prepared in cooperation with the Minnesota Department of Natural Resources","usgsCitation":"Smith, E.A., Kiesling, R.L., and Ziegeweid, J.R., 2017, Water-quality models to assess algal community dynamics, water quality, and fish habitat suitability for two agricultural land-use dominated lakes in Minnesota, 2014: U.S. Geological Survey Scientific Investigations Report 2017–5056, 65 p., https://doi.org/10.3133/sir20175056.","productDescription":"x, 65 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-079529","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":344145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5056/sir20175056.pdf","text":"Report","size":"2.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5056"},{"id":344144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5056/coverthb.jpg"}],"country":"United States ","state":"Minnesota","otherGeospatial":"Madison Lake, Pearl Lake ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.93467712402344,\n 46.78195983741789\n ],\n [\n -95.93871116638184,\n 46.78178351258928\n ],\n [\n -95.94025611877441,\n 46.78090187978414\n ],\n [\n -95.9421443939209,\n 46.7799614555459\n ],\n [\n -95.94463348388672,\n 46.77755154345932\n ],\n [\n -95.94858169555664,\n 46.775670561520585\n ],\n [\n -95.9502124786377,\n 46.77455369740659\n ],\n [\n -95.95081329345703,\n 46.77261382573384\n ],\n [\n -95.95081329345703,\n 46.770615096986646\n ],\n [\n -95.94926834106444,\n 46.770027221474\n ],\n [\n -95.94703674316406,\n 46.770086009314014\n ],\n [\n 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U.S. Geological Survey
2280 Woodale Drive
Mounds View, Minnesota 55112
The five saltiest springs in the Sierra Nevada in California are found between 38.5° and 38.8° N. latitude, on the South Fork American River; on Caples Creek, a tributary of the Silver Fork American River; and on the North Fork Mokelumne River. The springs issue from Cretaceous granitic rocks in the bottoms of these major canyons, between 1,200- and 2,200-m elevation. All of these springs were well known to Native Americans, who excavated meter-sized basins in the granitic rock, within which they produced salt by evaporation near at least four of the five spring sites. The spring waters are dominated by Cl, Na, and Ca; are enriched relative to seawater in Ca, Li, and As; and are depleted in SO4, Mg, and K. Tritium analyses indicate that the spring waters have had little interaction with rainfall since about 1954. The waters are apparently an old groundwater of meteoric origin that resided at depth before moving up along fractures to the surface of the exhumed granitic rocks. However, along the way these waters incorporated salts from depth, the origin of which could have been either from marine sedimentary rocks intruded by the granitic magmas or from fluid inclusions in the granitic rocks. Prolonged storage at depth fostered water-rock interactions that undoubtedly modified the fluid compositions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175053","usgsCitation":"Moore, J.G., Diggles, M.F., Evans, W.C., and Klemic, K., 2017, The saltiest springs in the Sierra Nevada, California: U.S. Geological Survey Scientific Investigations Report 2017–5053, 21 p., 2 appendixes, https://doi.org/10.3133/sir20175053.","productDescription":"v, 21 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-079045","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344092,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5053/coverthb.jpg"},{"id":344093,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5053/sir20175053.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5053"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5,\n 39.06\n ],\n [\n -120,\n 39.06\n ],\n [\n -120,\n 38.416667\n ],\n [\n -120.5,\n 38.416667\n ],\n [\n -120.5,\n 39.06\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
Fire activity has increased in western US aridland ecosystems due to increased human-caused ignitions and the expansion of flammable exotic grasses. Because many desert plants are not adapted to fire, increased fire activity may have long-lasting ecological impacts on native vegetation and the wildlife that depend on it. Given the heterogeneity across aridland ecosystems, it is important to understand how trends and drivers of fire vary, so management can be customized accordingly. We examined historical trends and quantified the relative importance of and interactions among multiple drivers of fire patterns across five aridland ecoregions in southeastern California from 1970 to 2010. Fire frequency increased across all ecoregions for the first couple decades, and declined or plateaued since the 1990s; but area burned continued to increase in some regions. The relative importance of anthropogenic and biophysical drivers varied across ecoregions, with both direct and indirect influences on fire. Anthropogenic variables were equally important as biophysical variables, but some contributed indirectly, presumably via their influence on annual grass distribution and abundance. Grass burned disproportionately more than other cover types, suggesting that addressing exotics may be the key to fire management and conservation in much of the area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2017.03.017","usgsCitation":"Syphard, A.D., Keeley, J.E., and Abatzoglou, J.T., 2017, Trends and drivers of fire activity vary across California aridland ecosystems: Journal of Arid Environments, v. 144, p. 110-122, https://doi.org/10.1016/j.jaridenv.2017.03.017.","productDescription":"13 p.","startPage":"110","endPage":"122","ipdsId":"IP-076808","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.970947265625,\n 32.667124733120325\n ],\n [\n -114.136962890625,\n 32.667124733120325\n ],\n [\n -114.136962890625,\n 37.90953361677018\n ],\n [\n -118.970947265625,\n 37.90953361677018\n ],\n [\n -118.970947265625,\n 32.667124733120325\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fafe4b0d1f9f065a860","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":705557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":705558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188795,"text":"fs20173053 - 2017 - Land subsidence in the southwestern Mojave Desert, California, 1992–2009","interactions":[],"lastModifiedDate":"2017-07-24T11:56:54","indexId":"fs20173053","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3053","title":" Land subsidence in the southwestern Mojave Desert, California, 1992–2009","docAbstract":"Groundwater has been the primary source of domestic, agricultural, and municipal water supplies in the southwestern Mojave Desert, California, since the early 1900s. Increased demands on water supplies have caused groundwater-level declines of more than 100 feet (ft) in some areas of this desert between the 1950s and the 1990s (Stamos and others, 2001; Sneed and others, 2003). These water-level declines have caused the aquifer system to compact, resulting in land subsidence. Differential land subsidence (subsidence occurring at different rates across the landscape) can alter surface drainage routes and damage surface and subsurface infrastructure. For example, fissuring across State Route 247 at Lucerne Lake has required repairs as has pipeline infrastructure near Troy Lake.
Land subsidence within the Mojave River and Morongo Groundwater Basins of the southwestern Mojave Desert has been evaluated using InSAR, ground-based measurements, geology, and analyses of water levels between 1992 and 2009 (years in which InSAR data were collected). The results of the analyses were published in three USGS reports— Sneed and others (2003), Stamos and others (2007), and Solt and Sneed (2014). Results from the latter two reports were integrated with results from other USGS/ MWA cooperative groundwater studies into the broader scoped USGS Mojave Groundwater Resources Web site (http://ca.water.usgs.gov/ mojave/). This fact sheet combines the detailed analyses from the three subsidence reports, distills them into a longer-term context, and provides an assessment of options for future monitoring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173053","usgsCitation":"Brandt, Justin, and Sneed, Michelle, 2017, Land subsidence in the southwestern Mojave Desert, California, 1992–2009: U.S. Geological Survey Fact Sheet 2017-3053, 6 p., https://doi.org/10.3133/fs20173053.","productDescription":"6 p. ","ipdsId":"IP-072664","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":344070,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3053/fs20173053.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3053"},{"id":344069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3053/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.49053955078125,\n 34.04128062212254\n ],\n [\n -116.30126953125,\n 34.04128062212254\n ],\n [\n -116.30126953125,\n 35.099686964274724\n ],\n [\n -117.49053955078125,\n 35.099686964274724\n ],\n [\n -117.49053955078125,\n 34.04128062212254\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
6000 J Street, Placer Hall,
California State University, Sacramento
Sacramento, CA 95819
https://ca.water.usgs.gov/mojave
Bighead Carp Hypophthalmichthys nobilis, Silver Carp H. molitrix, and Grass Carp Ctenopharyngodon idella(collectively termed “Asian carp”) were introduced into North America during the 1960s and 1970s and have become established in the lower Mississippi River basin. Previously published evidence for spawning of these species in the upper Mississippi River has been limited to an area just downstream of Dam 22 (near Saverton, Missouri). In 2013 and 2014, we sampled ichthyoplankton at 18 locations in the upper Mississippi River main stem from Dam 9 through Dam 19 and in four tributaries of the Mississippi River (Des Moines, Skunk, Iowa, and Wisconsin rivers). We identified eggs and larvae by using morphological techniques and then used genetic tools to confirm species identity. The spawning events we observed often included more than one species of Asian carp and in a few cases included eggs that must have been derived from more than one upstream spawning event. The upstream extent of genetically confirmed Grass Carp ichthyoplankton was the Wisconsin River, while Bighead Carp and Silver Carp ichthyoplankton were observed in Pool 16. In all these cases, ichthyoplankton likely drifted downstream for several hours prior to collection. Higher water velocities (and, to a lesser extent, higher temperatures) were associated with an increased likelihood of observing eggs or larvae, although the temperature range we encountered was mostly above 17°C. Several major spawning events were detected in 2013, but no major spawning events were observed in 2014. The area between Dam 15 and Dam 19 appears to be the upstream edge of spawning activity for both Silver Carp and Bighead Carp, suggesting that this area could be a focal point for management efforts designed to limit further upstream movement of these species..
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2017.1327901","usgsCitation":"Larson, J.H., Knights, B.C., McCalla, S.G., Monroe, E., Tuttle-Lau, M.T., Chapman, D., George, A.E., Vallazza, J.M., and Amberg, J., 2017, Evidence of Asian carp spawning upstream of a key choke point in the Mississippi River: North American Journal of Fisheries Management, v. 37, no. 4, p. 903-919, https://doi.org/10.1080/02755947.2017.1327901.","productDescription":"18 p. 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Limited information is available on the frequency of asymptomatic human infection. We tested 150 adults from California, USA, for B. procyonis antibodies; 11 were seropositive, suggesting that subclinical infection does occur.
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B.","contributorId":141028,"corporation":false,"usgs":false,"family":"Weinstein","given":"Sara","email":"","middleInitial":"B.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":705575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lake, Camille M.","contributorId":194880,"corporation":false,"usgs":false,"family":"Lake","given":"Camille","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chastain, Holly M.","contributorId":194881,"corporation":false,"usgs":false,"family":"Chastain","given":"Holly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisk, David","contributorId":194882,"corporation":false,"usgs":false,"family":"Fisk","given":"David","email":"","affiliations":[],"preferred":false,"id":705578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Handali, Sukwan","contributorId":194883,"corporation":false,"usgs":false,"family":"Handali","given":"Sukwan","email":"","affiliations":[],"preferred":false,"id":705579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kahn, Philip L.","contributorId":194884,"corporation":false,"usgs":false,"family":"Kahn","given":"Philip","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montgomery, Susan P.","contributorId":194885,"corporation":false,"usgs":false,"family":"Montgomery","given":"Susan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":705581,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilkins, Patricia P.","contributorId":194886,"corporation":false,"usgs":false,"family":"Wilkins","given":"Patricia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":705582,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuris, Armand M.","contributorId":189859,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705583,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705574,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70189650,"text":"70189650 - 2017 - Higher sensitivity and lower specificity in post-fire mortality model validation of 11 western US tree species","interactions":[],"lastModifiedDate":"2017-07-19T13:03:09","indexId":"70189650","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Higher sensitivity and lower specificity in post-fire mortality model validation of 11 western US tree species","docAbstract":"Managers require accurate models to predict post-fire tree mortality to plan prescribed fire treatments and examine their effectiveness. Here we assess the performance of a common post-fire tree mortality model with an independent dataset of 11 tree species from 13 National Park Service units in the western USA. Overall model discrimination was generally strong, but performance varied considerably among species and sites. The model tended to have higher sensitivity (proportion of correctly classified dead trees) and lower specificity (proportion of correctly classified live trees) for many species, indicating an overestimation of mortality. Variation in model accuracy (percentage of live and dead trees correctly classified) among species was not related to sample size or percentage observed mortality. However, we observed a positive relationship between specificity and a species-specific bark thickness multiplier, indicating that overestimation was more common in thin-barked species. Accuracy was also quite low for thinner bark classes (<1 cm) for many species, leading to poorer model performance. Our results indicate that a common post-fire mortality model generally performs well across a range of species and sites; however, some thin-barked species and size classes would benefit from further refinement to improve model specificity.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF16081","collaboration":"NPS, FS, JFSP","usgsCitation":"Kane, J.M., van Mantgem, P.J., Lalemand, L., and Keifer, M., 2017, Higher sensitivity and lower specificity in post-fire mortality model validation of 11 western US tree species: International Journal of Wildland Fire, v. 26, no. 5, p. 444-454, https://doi.org/10.1071/WF16081.","productDescription":"11 p.","startPage":"444","endPage":"454","ipdsId":"IP-075011","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706faee4b0d1f9f065a85a","contributors":{"authors":[{"text":"Kane, Jeffrey M.","contributorId":181978,"corporation":false,"usgs":false,"family":"Kane","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lalemand, Laura 0000-0001-8025-5975 llalemand@usgs.gov","orcid":"https://orcid.org/0000-0001-8025-5975","contributorId":174212,"corporation":false,"usgs":true,"family":"Lalemand","given":"Laura","email":"llalemand@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keifer, MaryBeth","contributorId":194887,"corporation":false,"usgs":false,"family":"Keifer","given":"MaryBeth","email":"","affiliations":[],"preferred":false,"id":705589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189642,"text":"70189642 - 2017 - Observations of indirect filial cannibalism in response to nest failure of Black-crowned Night-Herons (Nycticorax nycticorax)","interactions":[],"lastModifiedDate":"2017-07-20T10:56:38","indexId":"70189642","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Observations of indirect filial cannibalism in response to nest failure of Black-crowned Night-Herons (Nycticorax nycticorax)","title":"Observations of indirect filial cannibalism in response to nest failure of Black-crowned Night-Herons (Nycticorax nycticorax)","docAbstract":"During 2011, four separate instances of indirect filial cannibalism, whereby adults consumed their young that died from unknown causes, were observed using video-monitoring techniques in a nesting colony of Black-crowned Night-Herons (Nycticorax nycticorax) on Alcatraz Island. Though they were not observed actively killing their young, in all four observations adult Black-crowned Night-Herons consumed their young following death (i.e., indirect filial cannibalism). We could not determine cause of chick mortality, but parental neglect was likely a contributing factor in at least two instances. Indirect filial cannibalism is not commonly documented among birds, and understanding how cannibalism contributes to nest failure can help researchers better understand factors that limit nesting populations.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/16-013.1","usgsCitation":"Brussee, B.E., Coates, P.S., Dwight, I., and Young, L.G., 2017, Observations of indirect filial cannibalism in response to nest failure of Black-crowned Night-Herons (Nycticorax nycticorax): Wilson Journal of Ornithology, v. 129, no. 2, p. 390-394, https://doi.org/10.1676/16-013.1.","productDescription":"5 p.","startPage":"390","endPage":"394","ipdsId":"IP-075281","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Alcatraz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.42381393909456,\n 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bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwight, Ian 0000-0002-8393-5391 idwight@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-5391","contributorId":192077,"corporation":false,"usgs":true,"family":"Dwight","given":"Ian","email":"idwight@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Laura G.","contributorId":194873,"corporation":false,"usgs":false,"family":"Young","given":"Laura","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":705551,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188682,"text":"sir20175069 - 2017 - Physical characteristics of the lower San Joaquin River, California, in relation to white sturgeon spawning habitat, 2011–14","interactions":[],"lastModifiedDate":"2017-07-20T10:50:14","indexId":"sir20175069","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5069","title":"Physical characteristics of the lower San Joaquin River, California, in relation to white sturgeon spawning habitat, 2011–14","docAbstract":"The U.S. Fish and Wildlife Service confirmed that white sturgeon (Acipenser transmontanus) recently spawned in the lower San Joaquin River, California. Decreases in the San Francisco Bay estuary white sturgeon population have led to an increased effort to understand their migration behavior and habitat preferences. The preferred spawning habitat of other white sturgeon (for example, those in the Columbia and Klamath Rivers) is thought to be areas that have high water velocity, deep pools, and coarse bed material. Coarse bed material (pebbles and cobbles), in particular, is important for the survival of white sturgeon eggs and larvae. Knowledge of the physical characteristics of the lower San Joaquin River can be used to preserve sturgeon spawning habitat and lead to management decisions that could help increase the San Francisco Bay estuary white sturgeon population.
Between 2011 and 2014, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, assessed selected reaches and tributaries of the lower river in relation to sturgeon spawning habitat by (1) describing selected spawning reaches in terms of habitat-related physical characteristics (such as water depth and velocity, channel slope, and bed material) of the lower San Joaquin River between its confluences with the Stanislaus and Merced Rivers, (2) describing variations in these physical characteristics during wet and dry years, and (3) identifying potential reasons for these variations.
The lower San Joaquin River was divided into five study reaches. Although data were collected from all study reaches, three subreaches where the USFWS collected viable eggs at multiple sites in 2011–12 from Orestimba Creek to Sturgeon Bend were of special interest. Water depth and velocity were measured using two different approaches—channel cross sections and longitudinal profiles—and data were collected using an acoustic Doppler current profiler.
During the first year of data collection (water year 2011), runoff was greatest, and gaged streamflow, measured as discharge, peaked at 875 cubic meters per second in the lower San Joaquin River. Also during that year, water velocity was generally between 0.6 and 0.9 meters per second, and depth was typically between 2.5 and 4.5 meters, but water depth exceeded 6 meters in several pools. Water year 2011 was classified as a “wet” year. Later water years were classified as either “dry” (water year 2012) or “critical” (water years 2013 and 2014). During the drier years, water was shallower, and velocities were slower. The streambed aggraded in several areas during the study. At Sturgeon Bend, for example, which had the deepest pool measured in 2011 (maximum depth was 14 meters), about 8 meters of sediment was deposited by 2014.
The bed of the lower San Joaquin River was predominately sand, except in areas downstream from the mouth of Del Puerto Creek. A large amount of sand, gravel, and cobble was deposited at the mouth of Del Puerto Creek, and in the 9.5 kilometers downstream from the mouth of Del Puerto Creek, we encountered several gravel bars and patches of gravel-size (8–64 millimeters) bed material. Del Puerto and Orestimba Creeks drain from the Coast Ranges on the west side of the river. Only small quantities of gravel-size bed material were observed in the reach downstream from Orestimba Creek, indicating Orestimba Creek does not deliver much coarse sediment to the lower San Joaquin River. Del Puerto Creek appeared to be the primary source of gravels suitable for white sturgeon spawning in the lower San Joaquin River, and thus, it is important for the long-term spawning success of sturgeon in the San Joaquin River.
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\"}}]}","contact":"Ecosystems Mission Area
https://www.usgs.gov/ask/
1-888-ASK-USGS (1-888-275-8747)
The increasing demands on groundwater for water supply in desert areas in California and the western United States have resulted in the need to better understand groundwater sources, availability, and sustainability. This is true for a 650-square-mile area that encompasses the Antelope Valley, El Mirage Valley, and Upper Mojave River Valley groundwater basins, about 50 miles northeast of Los Angeles, California, in the western part of the Mojave Desert. These basins have been adjudicated to ensure that groundwater rights are allocated according to legal judgments. In an effort to assess if the boundary between the Antelope Valley and El Mirage Valley groundwater basins could be better defined, the U.S. Geological Survey began a cooperative study in 2014 with the Mojave Water Agency to better understand the hydrogeology in the area and investigate potential controls on groundwater flow and availability, including basement topography.
Recharge is sporadic and primarily from small ephemeral washes and streams that originate in the San Gabriel Mountains to the south; estimates range from about 400 to 1,940 acre-feet per year. Lateral underflow from adjacent basins has been considered minor in previous studies; underflow from the Antelope Valley to the El Mirage Valley groundwater basin has been estimated to be between 100 and 1,900 acre-feet per year. Groundwater discharge is primarily from pumping, mostly by municipal supply wells. Between October 2013 and September 2014, the municipal pumpage in the Antelope Valley and El Mirage Valley groundwater basins was reported to be about 800 and 2,080 acre-feet, respectively.
This study was motivated by the results from a previously completed regional gravity study, which suggested a northeast-trending subsurface basement ridge and saddle approximately 3.5 miles west of the boundary between the Antelope Valley and El Mirage Valley groundwater basins that might influence groundwater flow. To better define potential basement structures that could affect groundwater flow between the groundwater basins in the study area, gravity data were collected using more closely spaced measurements in September 2014. Groundwater-level data was gathered and collected from March 2014 through March 2015 to determine depth to water and direction of groundwater flow. The gravity and groundwater-level data showed that the saturated thickness of the alluvium was about 2,000 feet thick to the east and about 130 feet thick above the northward-trending basement ridge near Llano, California. Although it was uncertain whether the basement ridge affects the groundwater system, a potential barrier to groundwater flow could be created if the water table fell below the altitude of the basement ridge, effectively causing the area to the west of the basement ridge to become hydraulically isolated from the area to the east. In addition, the direction of regional-groundwater flow likely will be influenced by future changes in the number and distribution of pumping wells and the thickness of the saturated alluvium from which water is withdrawn. Three-dimensional animations were created to help visualize the relation between the basins’ basement topography and the groundwater system in the area. Further studies that could help to more accurately define the basins and evaluate the groundwater-flow system include exploratory drilling of multi-depth monitoring wells; collection of depth-dependent water-quality samples; and linking together existing, but separate, groundwater-flow models from the Antelope Valley and El Mirage Valley groundwater basins into a single, calibrated groundwater-flow model.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175065","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Stamos, C.L., Christensen, A.H., and Langenheim, V.E., 2017, Preliminary hydrogeologic assessment near the boundary of the Antelope Valley and El Mirage Valley groundwater basins, California: U.S. Geological Survey Scientific Investigations Report 2017–5065, 44 p., https://doi.org/10.3133/sir20175065.","productDescription":"Report: vii, 44 p.; 2 Figures","onlineOnly":"Y","ipdsId":"IP-064470","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":343370,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2017/5065/sir20175065_fig14_dewatering.mp4","text":"Figure 14.","size":"18 MB","description":"SIR 2017-5065 Animation","linkHelpText":"- Animation showing the potential dewatering of the saturated alluvium starting with the 2014–15 water-table altitude and assuming an incremental 16.4 feet (5 meter) drop per frame of the water table, near Piñon Hills, California."},{"id":343369,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2017/5065/sir20175065_fig13_gravity.mp4","text":"Figure 13.","size":"11 MB","description":"SIR 2017-5065 Animation","linkHelpText":"- Animation showing the altitude of the top of the basement rocks based on the gravity data and altitude of the water table in 2014–15, near Piñon Hills, California. "},{"id":343217,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5065/sir20175065.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5065"},{"id":343216,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5065/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Antelope Valley groundwater basin, El Mirage Valley groundwater basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.033333,\n 34.366667\n ],\n [\n -117.5,\n 34.366667\n ],\n [\n -117.5,\n 34.75\n ],\n [\n -118.033333,\n 34.75\n ],\n [\n -118.033333,\n 34.366667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
A large body of theory predicts that populations diffusing in heterogeneous environments reach higher total size than if non-diffusing, and, paradoxically, higher size than in a corresponding homogeneous environment. However, this theory and its assumptions have not been rigorously tested. Here, we extended previous theory to include exploitable resources, proving qualitatively novel results, which we tested experimentally using spatially diffusing laboratory populations of yeast. Consistent with previous theory, we predicted and experimentally observed that spatial diffusion increased total equilibrium population abundance in heterogeneous environments, with the effect size depending on the relationship between r and K. Refuting previous theory, however, we discovered that homogeneously distributed resources support higher total carrying capacity than heterogeneously distributed resources, even with species diffusion. Our results provide rigorous experimental tests of new and old theory, demonstrating how the traditional notion of carrying capacity is ambiguous for populations diffusing in spatially heterogeneous environments.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.12807","usgsCitation":"Zhang, B., Kula, A., Mack, K.M., Zhai, L., Ryce, A.L., Ni, W., DeAngelis, D.L., and Van Dyken, J.D., 2017, Carrying capacity in a heterogeneous environment with habitat connectivity: Ecology Letters, v. 20, no. 9, p. 1118-1128, https://doi.org/10.1111/ele.12807.","productDescription":"11 p.","startPage":"1118","endPage":"1128","ipdsId":"IP-085040","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469674,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.12807","text":"Publisher Index Page"},{"id":438263,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73R0R3K","text":"USGS data release","linkHelpText":"Carrying capacity in a heterogeneous environment with habitat connectivity"},{"id":344077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-16","publicationStatus":"PW","scienceBaseUri":"59706fade4b0d1f9f065a851","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":705701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Alex","contributorId":194890,"corporation":false,"usgs":false,"family":"Kula","given":"Alex","email":"","affiliations":[],"preferred":false,"id":705705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Keenan M.L.","contributorId":194912,"corporation":false,"usgs":false,"family":"Mack","given":"Keenan","email":"","middleInitial":"M.L.","affiliations":[],"preferred":false,"id":705702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":705703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryce, Arrix L.","contributorId":194892,"corporation":false,"usgs":false,"family":"Ryce","given":"Arrix","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ni, Wei-Ming","contributorId":146528,"corporation":false,"usgs":false,"family":"Ni","given":"Wei-Ming","email":"","affiliations":[{"id":16716,"text":"University of Minnesota : East China Normal University","active":true,"usgs":false}],"preferred":false,"id":705706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":705700,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Dyken, J. David","contributorId":194913,"corporation":false,"usgs":false,"family":"Van Dyken","given":"J.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":705707,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189637,"text":"70189637 - 2017 - Tree species preferences of foraging songbirds during spring migration in floodplain forests of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2017-07-19T08:14:14","indexId":"70189637","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Tree species preferences of foraging songbirds during spring migration in floodplain forests of the Upper Mississippi River","docAbstract":"Floodplain forest of the Upper Mississippi River is important for songbirds during spring migration. However, the altered hydrology of this system and spread of reed canary grass (Phalaris arundinacea) and emerald ash borer (Agrilus planipennis) threaten tree diversity and long-term sustainability of this forest. We estimated tree preferences of songbirds during spring migration 2010–2013 to help guide management decisions that promote tree diversity and forest sustainability and to evaluate yearly variation in tree selection. We used the point center-quarter method to assess relative availability of tree species and tallied bird foraging observations on tree species as well as recording the phenophase of used trees on five 40 ha plots of contiguous floodplain forest between La Crosse, Wisconsin and New Albin, Iowa, from 15 April through 1 June. We quantified bird preferences by comparing proportional use of tree species by each bird species to estimates of tree species availability for all 4 y and for each year separately. Species that breed locally preferred silver maple (Acer saccharinum), which is dominant in this forest. The common transient migrant species and the suite of 17 transient wood warbler species preferred hackberry (Celtis occidentalis) and oaks (Quercus spp.), which are limited to higher elevations on the floodplain. We observed earlier leaf development the warm springs of 2010 and 2012 and later leaf development the cold springs of 2011 and 2013. Yellow-rumped Warbler (Setophaga coronata), American Redstart (S. ruticilla), Warbling Vireo (Vireo gilvus) and Baltimore Oriole (Icterus galbula), and the suite of transient migrant wood warblers spread their foraging efforts among tree species in colder springs and were more selective in warmer springs. All three of the important tree species are not regenerating well on the UMR and widespread die-off of silver maple is possible in 50 y without large scale management.","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-177.2.226","usgsCitation":"Kirsch, E.M., and Wellik, M.J., 2017, Tree species preferences of foraging songbirds during spring migration in floodplain forests of the Upper Mississippi River: American Midland Naturalist, v. 177, no. 2, p. 226-249, https://doi.org/10.1674/0003-0031-177.2.226.","productDescription":"24 p.","startPage":"226","endPage":"249","ipdsId":"IP-071438","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":344006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.636962890625,\n 43.50075243569041\n ],\n [\n -91.0272216796875,\n 43.50075243569041\n ],\n [\n -91.0272216796875,\n 44.11914151643737\n ],\n [\n -91.636962890625,\n 44.11914151643737\n ],\n [\n -91.636962890625,\n 43.50075243569041\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"177","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb0e4b0d1f9f065a866","contributors":{"authors":[{"text":"Kirsch, Eileen M. 0000-0002-2818-5022 ekirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-2818-5022","contributorId":3477,"corporation":false,"usgs":true,"family":"Kirsch","given":"Eileen","email":"ekirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellik, Mike J. 0000-0002-3123-3988 mwellik@usgs.gov","orcid":"https://orcid.org/0000-0002-3123-3988","contributorId":4587,"corporation":false,"usgs":true,"family":"Wellik","given":"Mike","email":"mwellik@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":705528,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189666,"text":"70189666 - 2017 - Inundation, vegetation, and sediment effects on litter decomposition in Pacific Coast tidal marshes","interactions":[],"lastModifiedDate":"2018-03-26T12:15:53","indexId":"70189666","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Inundation, vegetation, and sediment effects on litter decomposition in Pacific Coast tidal marshes","docAbstract":"The cycling and sequestration of carbon are important ecosystem functions of estuarine wetlands that may be affected by climate change. We conducted experiments across a latitudinal and climate gradient of tidal marshes in the northeast Pacific to evaluate the effects of climate- and vegetation-related factors on litter decomposition. We manipulated tidal exposure and litter type in experimental mesocosms at two sites and used variation across marsh landscapes at seven sites to test for relationships between decomposition and marsh elevation, soil temperature, vegetation composition, litter quality, and sediment organic content. A greater than tenfold increase in manipulated tidal inundation resulted in small increases in decomposition of roots and rhizomes of two species, but no significant change in decay rates of shoots of three other species. In contrast, across the latitudinal gradient, decomposition rates of Salicornia pacifica litter were greater in high marsh than in low marsh. Rates were not correlated with sediment temperature or organic content, but were associated with plant assemblage structure including above-ground cover, species composition, and species richness. Decomposition rates also varied by litter type; at two sites in the Pacific Northwest, the grasses Deschampsia cespitosa and Distichlis spicata decomposed more slowly than the forb S. pacifica. Our data suggest that elevation gradients and vegetation structure in tidal marshes both affect rates of litter decay, potentially leading to complex spatial patterns in sediment carbon dynamics. Climate change may thus have direct effects on rates of decomposition through increased inundation from sea-level rise and indirect effects through changing plant community composition.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0111-6","usgsCitation":"Janousek, C., Buffington, K., Guntenspergen, G.R., Thorne, K.M., Dugger, B., and Takekawa, J.Y., 2017, Inundation, vegetation, and sediment effects on litter decomposition in Pacific Coast tidal marshes: Ecosystems, v. 20, no. 7, p. 1296-1310, https://doi.org/10.1007/s10021-017-0111-6.","productDescription":"15 p.","startPage":"1296","endPage":"1310","ipdsId":"IP-082125","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438262,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70P0X6C","text":"USGS data release","linkHelpText":"Decomposition of plant litter in Pacific coast tidal marshes, 2014-2015"},{"id":344068,"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 -126,\n 33\n ],\n [\n -115,\n 33\n ],\n [\n -115,\n 48\n ],\n [\n -126,\n 48\n ],\n [\n -126,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2017-02-03","publicationStatus":"PW","scienceBaseUri":"59706faee4b0d1f9f065a857","contributors":{"authors":[{"text":"Janousek, Christopher 0000-0003-2124-6715 cjanousek@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":150053,"corporation":false,"usgs":true,"family":"Janousek","given":"Christopher","email":"cjanousek@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":705684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":705685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Bruce D.","contributorId":81236,"corporation":false,"usgs":true,"family":"Dugger","given":"Bruce D.","affiliations":[],"preferred":false,"id":705686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":705687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189619,"text":"70189619 - 2017 - Adjusting central and eastern North America ground-motion intensity measures between sites with different reference-rock site conditions","interactions":[],"lastModifiedDate":"2021-04-27T19:14:28.758048","indexId":"70189619","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","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":"Adjusting central and eastern North America ground-motion intensity measures between sites with different reference-rock site conditions","docAbstract":"Adjustment factors are provided for converting ground‐motion intensity measures between central and eastern North America (CENA) sites with different reference‐rock site conditions (VS30=760, 2000, and 3000 m/s) for moment magnitudes ranging from 2 to 8, rupture distances ranging from 2 to 1200 km, Fourier amplitude spectra (FAS) for frequencies ranging from 0.01 to 100 Hz, response spectra for periods ranging from 0.01 to 10.0 s, peak ground acceleration, and peak ground velocity. The adjustment factors are given for a wide range of the site diminution parameters (κ0) for sites with VS30=760 m/s and for a κ0 of 0.006 s for two harder rock sites. Fourteen CENA velocity profiles with VS30 values within a factor of 1.1 of 760 m/s were used to derive average FAS amplification factors as a function of frequency, which were then used in simulations of peak ground‐motion parameters and response spectra to derive the adjustment factors. The amplification function differs from that used in western North America (e.g., Campbell and Boore, 2016) in having a peak near 9 Hz, due to the resonance of motions in the relatively thin low‐velocity material over hard rock that characterizes many CENA sites with VS30 near 760 m/s. We call these B/C sites, because this velocity marks the boundary between National Earthquake Hazards Reduction Program site classes B and C (Building Seismic Safety Council, 2004). The adjustments for short‐period motions are sensitive to the value of κ0, but there are very few if any determinations of κ0 for CENA B/C sites. For this reason, we determined κ0from multiple recordings at Pinyon Flat Observatory (PFO), California, which has a velocity‐depth profile similar to those of CENA B/C sites. The PFO and other results from the literature suggest that appropriate values of κ0 for CENA B/C sites are expected to lie between 0.01 and 0.03 s.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160208","usgsCitation":"Boore, D., and Campbell, K.W., 2017, Adjusting central and eastern North America ground-motion intensity measures between sites with different reference-rock site conditions: Bulletin of the Seismological Society of America, v. 107, no. 1, p. 132-148, https://doi.org/10.1785/0120160208.","productDescription":"17 p.","startPage":"132","endPage":"148","ipdsId":"IP-063723","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"59706fb0e4b0d1f9f065a86d","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kenneth W.","contributorId":74391,"corporation":false,"usgs":false,"family":"Campbell","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":705542,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189636,"text":"70189636 - 2017 - Alternative rupture-scaling relationships for subduction interface and other offshore environments","interactions":[],"lastModifiedDate":"2017-07-19T08:19:16","indexId":"70189636","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2017","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":"Alternative rupture-scaling relationships for subduction interface and other offshore environments","docAbstract":"Alternative fault-rupture-scaling relationships are developed for Mw 7.1–\n9.5 subduction interface earthquakes using a new database of consistently derived finitefault\nrupture models from teleseismic inversion. Scaling relationships are derived for\nrupture area, rupture length, rupture width, maximum slip, and average slip. These relationships\napply width saturation for large-magnitude interface earthquakes (approximately\nMw >8:6) for which the physical characteristics of subduction zones limit the\ndepth extent of seismogenic rupture, and consequently, the down-dip limit of strong\nground motion generation. On average, the down-dip rupture width for interface earthquakes\nsaturates near 200 km (196 km on average). Accordingly, the reinterpretation of\nrupture-area scaling for subduction interface earthquakes through the use of a bilinear\nscaling model suggests that rupture asperity area is less well correlated with magnitude\nfor earthquakes Mw >8:6. Consequently, the size of great-magnitude earthquakes appears\nto be more strongly controlled by the average slip across asperities.\nThe sensitivity of the interface scaling relationships is evaluated against geographic\nregion (or subduction zone) and average dip along the rupture interface to\nassess the need for correction factors. Although regional perturbations in fault-rupture\nscaling could be identified, statistical significance analyses suggest there is little\nrationale for implementing regional correction factors based on the limited number\nof interface rupture models available for each region.\nFault-rupture-scaling relationships are also developed for intraslab (within the\nsubducting slab), extensional outer-rise and offshore strike-slip environments. For\nthese environments, the rupture width and area scaling properties yield smaller dimensions\nthan interface ruptures for the corresponding magnitude. However, average and\nmaximum slip metrics yield larger values than interface events. These observations\nreflect both the narrower fault widths and higher stress drops in these faulting environments.\nAlthough expressing significantly different rupture-scaling properties from\nearthquakes in subduction environments, the characteristics of offshore strike-slip\nearthquake ruptures compare similarly to commonly used rupture-scaling relationships\nfor onshore strike-slip earthquakes.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160255","usgsCitation":"Allen, T., and Hayes, G.P., 2017, Alternative rupture-scaling relationships for subduction interface and other offshore environments: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1240-1253, https://doi.org/10.1785/0120160255.","productDescription":"14 p.","startPage":"1240","endPage":"1253","ipdsId":"IP-083339","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"59706fb0e4b0d1f9f065a869","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":705525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705526,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188191,"text":"fs20173042 - 2017 - Assessment of undiscovered oil and gas resources in the Cuyo Basin Province, Argentina, 2017","interactions":[],"lastModifiedDate":"2017-07-19T13:05:36","indexId":"fs20173042","displayToPublicDate":"2017-07-18T15:50:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3042","title":"Assessment of undiscovered oil and gas resources in the Cuyo Basin Province, Argentina, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 236 million barrels of oil and 112 billion cubic feet of associated gas in the Cuyo Basin Province, Argentina.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173042","usgsCitation":"Schenk, C.J., Brownfield, M.E., Tennyson, M.E., Le, P.A., Mercier, T.J., Finn, T.M., Hawkins, S.J., Gaswirth, S.B., Marra, K.R., Klett, T.R., Leathers-Miller, H.M., and Woodall, C.A., 2017, Assessment of undiscovered oil and gas resources in the Cuyo Basin Province, Argentina, 2017: U.S. Geological Survey Fact Sheet 2017–3042, 2 p., https://doi.org/10.3133/fs20173042.","productDescription":"Report: 2 p. ","startPage":"1","endPage":"2","onlineOnly":"N","ipdsId":"IP-086211","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":343843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3042/fs20173042.pdf","text":"Report","size":"364 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3042"},{"id":343846,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173043","text":"Fact Sheet 2017–3043:","linkHelpText":"Assessment of Continuous Oil and Gas Resources in the San Jorge Basin Province, Argentina, 2017"},{"id":343862,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173025","text":"Fact Sheet 2017–3025:","linkHelpText":"Assessment of Continuous Oil and Gas Resources in the Neuquén Basin Province, Argentina, 2016"},{"id":343842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3042/coverthb.jpg"}],"country":"Argentina","otherGeospatial":"Cuyo Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.697265625,\n -33.87041555094182\n ],\n [\n -70.4443359375,\n -34.70549341022545\n ],\n [\n -70.5322265625,\n -35.281500657891186\n ],\n [\n -70.400390625,\n -35.81781315869662\n ],\n [\n -70.6640625,\n -36.3151251474805\n ],\n [\n -71.103515625,\n -36.63316209558656\n ],\n [\n -71.1474609375,\n -37.020098201368114\n ],\n [\n -71.279296875,\n -37.64903402157864\n ],\n [\n -71.19140625,\n -38.272688535980954\n ],\n [\n -70.5322265625,\n -37.54457732085582\n ],\n [\n -70.0048828125,\n -37.020098201368114\n ],\n [\n -69.43359375,\n -37.020098201368114\n ],\n [\n -68.6865234375,\n -37.19533058280063\n ],\n [\n -68.203125,\n -38.03078569382294\n ],\n [\n -67.4560546875,\n -38.8225909761771\n ],\n [\n -65.7421875,\n -35.71083783530008\n ],\n [\n -66.09375,\n -34.74161249883172\n ],\n [\n -66.97265625,\n -34.415973384481866\n ],\n [\n -68.203125,\n -34.161818161230386\n ],\n [\n -69.697265625,\n -33.87041555094182\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046