Use of genomic tools to characterize wildlife populations has increased in recent years. In the past, genetic characterization has been accomplished with more traditional genetic tools (e.g., microsatellites). The explosion of genomic methods and the subsequent creation of large SNP datasets has led to the promise of increased precision in population genetic parameter estimates and identification of demographically and evolutionarily independent groups, as well as questions about the future usefulness of the more traditional genetic tools. At present, few empirical comparisons of population genetic parameters and clustering analyses performed with microsatellites and SNPs have been conducted.
Here we used microsatellite and SNP data generated from Gunnison sage-grouse (Centrocercus minimus) samples to evaluate concordance of the results obtained from each dataset for common metrics of genetic diversity (HO, HE, FIS, AR) and differentiation (FST, GST, DJost). Additionally, we evaluated clustering of individuals using putatively neutral (SNPs and microsatellites), putatively adaptive, and a combined dataset of putatively neutral and adaptive loci. We took particular interest in the conservation implications of any differences. Generally, we found high concordance between microsatellites and SNPs for HE, FIS, AR, and all differentiation estimates. Although there was strong correlation between metrics from SNPs and microsatellites, the magnitude of the diversity and differentiation metrics were quite different in some cases. Clustering analyses also showed similar patterns, though SNP data was able to cluster individuals into more distinct groups. Importantly, clustering analyses with SNP data suggest strong demographic independence among the six distinct populations of Gunnison sage-grouse with some indication of evolutionary independence in two or three populations; a finding that was not revealed by microsatellite data.
We demonstrate that SNPs have three main advantages over microsatellites: more precise estimates of population-level diversity, higher power to identify groups in clustering methods, and the ability to consider local adaptation. This study adds to a growing body of work comparing the use of SNPs and microsatellites to evaluate genetic diversity and differentiation for a species of conservation concern with relatively high population structure and using the most common method of obtaining SNP genotypes for non-model organisms.
","language":"English","publisher":"BMC","doi":"10.1186/s12864-020-06783-9","usgsCitation":"Zimmerman, S.J., Aldridge, C., and Oyler-McCance, S.J., 2020, An empirical comparison of population genetic analyses using microsatellite and SNP data for a species of conservation concern: BMC Genomics, v. 21, 382, 16 p., https://doi.org/10.1186/s12864-020-06783-9.","productDescription":"382, 16 p.","ipdsId":"IP-114139","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456536,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12864-020-06783-9","text":"Publisher Index Page"},{"id":436945,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ET592","text":"USGS data release","linkHelpText":"Sample collection information and SNP data for Gunnison Sage-grouse across the species range generated in the Molecular Ecology Lab during 2015-2018"},{"id":436944,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P920WO0Q","text":"USGS data release","linkHelpText":"Sample collection information and microsatellite data for Gunnison sage-grouse pre and post translocation"},{"id":377446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.59912109375,\n 35.764343479667176\n ],\n [\n -106.0400390625,\n 35.764343479667176\n ],\n [\n -106.0400390625,\n 39.740986355883564\n ],\n [\n -111.59912109375,\n 39.740986355883564\n ],\n [\n -111.59912109375,\n 35.764343479667176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2020-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":795971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":795972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":795973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211970,"text":"70211970 - 2020 - Laboratory trials to evaluate carbon dioxide as a potential behavioral control method for invasive red swamp (Procambarus clarkii) and rusty crayfish (Faxonius rusticus)","interactions":[],"lastModifiedDate":"2020-08-12T20:41:03.507096","indexId":"70211970","displayToPublicDate":"2020-06-01T15:39:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Laboratory trials to evaluate carbon dioxide as a potential behavioral control method for invasive red swamp (Procambarus clarkii) and rusty crayfish (Faxonius rusticus)","title":"Laboratory trials to evaluate carbon dioxide as a potential behavioral control method for invasive red swamp (Procambarus clarkii) and rusty crayfish (Faxonius rusticus)","docAbstract":"Few effective strategies are available to control invasive crayfishes. Carbon dioxide (CO2) acts as a behavioral deterrent for invasive fishes and could be a useful crayfish control tool. The objective of this laboratory study was to quantify CO2 concentrations that caused red swamp crayfish (RSC; Procambarus clarkii) and rusty crayfish (RYC; Faxonius rusticus) avoidance behavior, altered emergence behavior, and caused loss of equilibrium. Behavioral endpoints were quantified under light and dark conditions and at 10 and 24 °C. Avoidance responses from both species varied widely. Under light conditions, 35 mg/L CO2 was needed to induce the first avoidance shuttle in both crayfish species at 10 °C. CO2 concentrations of 42 mg/L for RYC and 46 mg/L for RSC were required for first shuttle at 24 °C. The first avoidance shuttle was induced at 37 mg/L CO2 for RYC and 54 mg/L CO2 for RSC at 10 °C in the dark. At 24 °C, 44 mg/L CO2 was required for first shuttle for both species. Less CO2 was needed to cause the last avoidance shuttle in RYC compared to RSC at both temperatures and under both lighting conditions. RSC emergence occurred at 418 ± 77 mg/L CO2, and loss of equilibrium occurred for both species at 1,231 ± 201 mg/L CO2. RYC appeared to be more sensitive than RSC to CO2, but behavior did not differ among light and water temperature treatments. These results demonstrate that CO2 alters crayfish behavior. The CO2 concentrations identified during this study may inform field testing to develop CO2 as a potential control tool for invasive crayfishes.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2020.11.2.06","usgsCitation":"Fredricks, K.T., Tix, J., Smerud, J.R., and Cupp, A.R., 2020, Laboratory trials to evaluate carbon dioxide as a potential behavioral control method for invasive red swamp (Procambarus clarkii) and rusty crayfish (Faxonius rusticus): Biological Invasions, v. 11, no. 2, p. 259-278, https://doi.org/10.3391/mbi.2020.11.2.06.","productDescription":"20 p.","startPage":"259","endPage":"278","ipdsId":"IP-102493","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":456537,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2020.11.2.06","text":"Publisher Index Page"},{"id":436946,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R7AQVM","text":"USGS data release","linkHelpText":"Evaluation of dissolved carbon dioxide (CO2) as a non-physical deterrent to invasive Red Swamp Crayfish (Procambarus clarkii) and Rusty Crayfish (Faxonius rusticus): Data"},{"id":377437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tix, John A.","contributorId":126766,"corporation":false,"usgs":false,"family":"Tix","given":"John A.","affiliations":[{"id":6602,"text":"Great Lakes Science Center, Hammond Bay Biological Station","active":true,"usgs":false}],"preferred":false,"id":796021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796023,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209091,"text":"sir20205026 - 2020 - Application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin","interactions":[],"lastModifiedDate":"2020-09-01T12:26:51.639849","indexId":"sir20205026","displayToPublicDate":"2020-06-01T14:36:39","publicationYear":"2020","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":"2020-5026","displayTitle":"Application of the Precipitation-Runoff Modeling System (PRMS) To Simulate Near-Native Streamflow in the Upper Rio Grande Basin","title":"Application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin","docAbstract":"The U.S. Geological Survey’s Precipitation-Runoff Modeling System (PRMS) is widely used to simulate the effects of climate, topography, land cover, and soils on landscape-level hydrologic response and streamflow. This study developed, calibrated, and assessed a PRMS model that simulates near-native or naturalized streamflow conditions in the Upper Rio Grande Basin. A PRMS model framework of 1,021 hydrologic response units was constructed for the basin. Subbasins within the larger Upper Rio Grande Basin range from snow-dominated northern basins to monsoon driven southern basins. The 1,021 hydrologic response units were grouped into 133 subareas within the basin, and solar radiation and potential evapotranspiration data were used to calibrate corresponding PRMS parameters in each subarea independently. Nine subbasins with streamgages distributed across the basin were identified as “near-native” subbasins, or those basins with low anthropogenic disturbance. Model parameters that affect streamflow were calibrated for the near-native subbasins, and the calibrated parameters were distributed to the remaining hydrologic response units on the basis of terrain, soil, and vegetation conditions linked to a distribution and weighting algorithm developed for this study. The parameter distribution method was validated in three of the nine near-native subbasins. Calibration results demonstrated that the PRMS model developed in this study with distributed model parameters for the entire Upper Rio Grande Basin was successful in applying local information to improve model performance over the National Hydrologic Model, and that the new model is appropriate to use to simulate near-native conditions throughout the basin. The result is a model that can simulate naturalized flow and other variables that affect the water budget (including soil moisture, evapotranspiration, recharge) at the daily time step for current and future climate conditions, and that can also be used in conjunction with other models developed for the basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205026","collaboration":"U.S. Geological Survey National Water Census and Water Availability and Use Science Program","usgsCitation":"Chavarria, S.B., Moeser, C.D., and Douglas-Mankin, K.R., 2020, Application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin: U.S. Geological Survey Scientific Investigations Report 2020–5026, 38 p., https://doi.org/10.3133/sir20205026.","productDescription":"Report: vi, 38 p.; Data Release","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-111974","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":436948,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ML93QB","text":"USGS data release","linkHelpText":"Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) in the Upper Rio Grande Basin"},{"id":375137,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YOPYW7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Input and output data for the application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin"},{"id":375136,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5026/sir20205026.pdf","text":"Report","size":"15.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5026"},{"id":375135,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5026/coverthb.jpg"}],"country":"United States","otherGeospatial":"Upper Rio Grande Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.74316406249999,\n 31.466153715024294\n ],\n [\n -106.0400390625,\n 31.052933985705163\n ],\n [\n -105.380859375,\n 30.90222470517144\n ],\n [\n -105.0732421875,\n 31.12819929911196\n ],\n [\n -105.5126953125,\n 32.175612478499325\n ],\n [\n -105.2490234375,\n 32.80574473290688\n ],\n [\n -105.732421875,\n 33.211116472416855\n ],\n [\n -105.16113281249999,\n 33.797408767572485\n ],\n [\n -104.8974609375,\n 34.66935854524543\n ],\n [\n -105.380859375,\n 35.460669951495305\n ],\n [\n -104.5458984375,\n 36.80928470205937\n ],\n [\n -104.94140625,\n 38.03078569382294\n ],\n [\n -106.34765625,\n 38.54816542304656\n ],\n [\n -107.314453125,\n 37.92686760148135\n ],\n [\n -106.8310546875,\n 37.33522435930639\n ],\n [\n -108.06152343749999,\n 35.99578538642032\n ],\n [\n -107.75390625,\n 34.488447837809304\n ],\n [\n -108.19335937499999,\n 33.61461929233378\n ],\n [\n -108.984375,\n 32.65787573695528\n ],\n [\n -108.80859375,\n 31.541089879585808\n ],\n [\n -108.45703125,\n 31.27855085894653\n ],\n [\n -107.7978515625,\n 32.287132632616384\n ],\n [\n -107.05078125,\n 32.39851580247402\n ],\n [\n -106.74316406249999,\n 31.466153715024294\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
Keys to Chestnut-collared Longspur (Calcarius ornatus) management are providing and maintaining native pastures with fairly short overall vegetation and sparse litter accumulation but with areas of taller and denser vegetation and accumulated litter for nesting, and tailoring grazing intensity to local conditions. Chestnut-collared Longspurs have been reported to use habitats with 10–77 centimeters (cm) average vegetation height, 1–50 cm visual obstruction reading, 15–67 percent grass cover, 5–16 percent forb cover, less than (<) 6 percent shrub cover, 1–44 percent bare ground, 6–63 percent litter cover, and <7 cm litter depth.
Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
The U.S. Fish and Wildlife Service (USFWS) is responsible for reviewing the biological status of hundreds of species to determine federal status designations under the Endangered Species Act. The longleaf pine Pinus palustris ecological system supports many priority at-risk species designated for review, including five species of herpetofauna: gopher tortoise Gopherus polyphemus, southern hognose snake Heterodon simus, Florida pine snake Pituophis melanoleucus mugitus, gopher frog Lithobates (Rana) capito, and striped newt Notophthalmus perstriatus. To inform status decisions and conservation planning, we developed habitat suitability models to 1) identify habitat features that best predict species presence and 2) estimate the amount and distribution of suitable habitat across each species' range under current conditions. We incorporated expert judgment from federal, state, and other partners to capture variation in ecological settings across species' ranges, prioritize predictor variables to test in models, mitigate data limitations by informing the selection of pseudoabsence points, qualitatively evaluate model estimates, and improve the likelihood that experts will trust and use model predictions for conservation. Soil characteristics, land cover, and fire interval strongly influenced habitat suitability for all species. Suitable habitat was distributed on known species strongholds, as well as private lands without known species records. Between 4.7% (gopher frog) and 14.6% (gopher tortoise) of the area in a species' range was classified as suitable habitat, and between 28.1% (southern hognose snake) and 47.5% (gopher frog) of suitable habitat was located in patches larger than 1 km2 (100 ha) on publicly owned lands. By overlaying predictions for each species, we identified areas of suitable habitat for multiple species on protected and unprotected lands. These results have direct applications to management and conservation planning: partners can tailor site-level management based on attributes associated with high habitat suitability for species of concern; allocate survey effort in areas with suitable habitat but no known species records; and identify priority areas for management, land acquisitions, or other strategies based on the distribution of species records, suitable habitat, and land protection status. These results can aid regional partners in implementing effective conservation strategies and inform status designation decisions of the USFWS.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092019-JFWM-075","usgsCitation":"Crawford, B.A., Maerz, J.C., and Moore, C.T., 2020, Expert-informed habitat suitability analysis for at-risk species assessment and conservation planning: Journal of Fish and Wildlife Management, v. 11, no. 1, p. 130-150, https://doi.org/10.3996/092019-JFWM-075.","productDescription":"21 p.","startPage":"130","endPage":"150","ipdsId":"IP-110784","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092019-jfwm-075","text":"Publisher Index Page"},{"id":395703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 29.477861195816843\n ],\n [\n -89.3408203125,\n 28.92163128242129\n ],\n [\n -89.033203125,\n 29.05616970274342\n ],\n [\n -88.92333984375,\n 30.12612436422458\n ],\n [\n -87.7587890625,\n 30.088107753367257\n ],\n [\n -86.17675781249999,\n 30.107117887092357\n ],\n [\n -85.4736328125,\n 29.592565403314087\n ],\n [\n -85.01220703125,\n 29.477861195816843\n ],\n [\n -84.13330078125,\n 29.897805610155874\n ],\n [\n -83.34228515625,\n 29.171348850951507\n ],\n [\n -82.85888671875,\n 28.86391842622456\n ],\n [\n -83.12255859375,\n 27.955591004642553\n ],\n [\n -82.68310546875,\n 26.96124577052697\n ],\n [\n -82.24365234375,\n 26.56887654795065\n ],\n [\n -81.9580078125,\n 25.898761936567023\n ],\n [\n -81.6064453125,\n 25.760319754713887\n ],\n [\n -81.2548828125,\n 24.906367237907997\n ],\n [\n -80.15625,\n 25.085598897064752\n ],\n [\n -79.8046875,\n 26.56887654795065\n ],\n [\n -80.068359375,\n 28.130127737874005\n ],\n [\n -80.70556640625,\n 28.844673680771795\n ],\n [\n -81.34277343749999,\n 30.732392734006083\n ],\n [\n -81.03515625,\n 31.55981453201843\n ],\n [\n -80.52978515625,\n 32.1570124860701\n ],\n [\n -79.1455078125,\n 33.04550781490999\n ],\n [\n -78.837890625,\n 33.55970664841198\n ],\n [\n -78.57421875,\n 33.779147331286474\n ],\n [\n -77.95898437499999,\n 33.76088200086917\n ],\n [\n -77.54150390625,\n 34.361576287484176\n ],\n [\n -76.57470703125,\n 34.65128519895413\n ],\n [\n -76.0693359375,\n 35.0120020431607\n ],\n [\n -80.74951171875,\n 35.51434313431818\n ],\n [\n -80.68359375,\n 34.867904962568716\n ],\n [\n -82.353515625,\n 33.88865750124075\n ],\n [\n -88.43994140625,\n 32.39851580247402\n ],\n [\n -90.72509765625,\n 31.034108344903512\n ],\n [\n -90,\n 29.477861195816843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Brian A.","contributorId":204802,"corporation":false,"usgs":false,"family":"Crawford","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":833910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210861,"text":"70210861 - 2020 - Data release of reprocessed select National Uranium Resources Evaluation program samples in Wyoming","interactions":[],"lastModifiedDate":"2021-07-07T17:05:49.62074","indexId":"70210861","displayToPublicDate":"2020-06-01T11:58:25","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2020-7","title":"Data release of reprocessed select National Uranium Resources Evaluation program samples in Wyoming","docAbstract":"The U.S. Atomic Energy Commission established the National Uranium Resources Evaluation (NURE) program in 1973 to identify uranium resources throughout the United States. Part of this program focused on the collection of stream-sediment samples and subsequent geochemical analyses of these samples for uranium, in addition to 47 other elements. As part of the original program, 18,424 stream-sediment samples were collected from Wyoming and analyzed. All original samples are stored at the U.S. Geological Survey’s (USGS) National Geochemical Sample Archive (NGSA). The Wyoming State Geological Survey (WSGS) recently selected 159 of the original Wyoming NURE stream samples to be reanalyzed using modern and standardized analytical equipment. The raw results of the reanalysis are provided with this report.
","language":"English","publisher":"Wyoming State Geological Survey","collaboration":"Wyoming State Geological Survey","usgsCitation":"Lucke, D.W., Smith, S.M., Azain, J., and Ingraham, A.D., 2020, Data release of reprocessed select National Uranium Resources Evaluation program samples in Wyoming: Open-File Report 2020-7, 9 p.","productDescription":"9 p.","ipdsId":"IP-118527","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":386992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375997,"type":{"id":15,"text":"Index Page"},"url":"https://sales.wsgs.wyo.gov/data-release-of-reprocessed-select-national-uranium-resources-evaluation-program-samples-in-wyoming-2020/"}],"country":"United 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States","interactions":[],"lastModifiedDate":"2020-09-24T16:03:00.806638","indexId":"70212741","displayToPublicDate":"2020-06-01T11:22:20","publicationYear":"2020","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":"Climate change projected to reduce prescribed burning opportunities in the south-eastern United States","docAbstract":"Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria (a ‘burn window’) are met. Here, we evaluate the potential impacts of projected climatic change on prescribed burning in the south-eastern United States by applying a set of burn window criteria that capture temperature, relative humidity and wind speed to projections from an ensemble of Global Climate Models under two greenhouse gas emission scenarios. Regionally, the percentage of suitable days for burning changes little during winter but decreases substantially in summer owing to rising temperatures by the end of the 21st century compared with historical conditions. Management implications of such changes for six representative land management units include seasonal shifts in burning opportunities from summer to cool-season months, but with considerable regional variation. We contend that the practical constraints of rising temperatures on prescribed fire activities represent a significant future challenge and show that even meeting basic burn criteria (as defined today) will become increasingly difficult over time, which speaks to the need for adaptive management strategies to prepare for such changes.
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Station","active":true,"usgs":false}],"preferred":false,"id":797384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hiers, J Kevin","contributorId":239606,"corporation":false,"usgs":false,"family":"Hiers","given":"J Kevin","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":797385,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210872,"text":"70210872 - 2020 - Oases of the future? Evaluating springs as potential hydrologic refugia in drying climates","interactions":[],"lastModifiedDate":"2020-08-06T18:41:36.845935","indexId":"70210872","displayToPublicDate":"2020-06-01T10:38:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Oases of the future? Evaluating springs as potential hydrologic refugia in drying climates","docAbstract":"Springs in water-limited landscapes are biodiversity hotspots and keystone ecosystems, disproportionately influencing surrounding landscapes despite their often small areas. Some springs served as evolutionary refugia during previous climate drying, supporting relict species in isolated habitats. Understanding whether springs will provide hydrologic refugia from future climate change is important to biodiversity conservation but complicated by hydrologic variability among springs, data limitations, and multiple non-climate threats to groundwater-dependent ecosystems. Here, we present a conceptual framework for categorizing springs as potentially stable, relative, or transient hydrologic refugia in a drying climate. Clues about refugial capacity of springs can be assembled from diverse approaches, including citizen-science-powered ecohydrologic monitoring, remote sensing, landowner interviews, and environmental tracer analysis. Managers can integrate multiple lines of evidence to predict which springs may become future refugia for species of concern, strengthening the long-term effectiveness of springs conservation and restoration and informing climate adaptation for terrestrial and freshwater species.","language":"English","publisher":"Wiley","doi":"10.1002/fee.2191","usgsCitation":"Cartwright, J.M., Dwire, K.A., Freed, Z., Hammer, S.J., McLaughlin, B., Misztal, L.W., Schenk, E.J., Spencer, J.R., Springer, A.E., and Stevens, L.E., 2020, Oases of the future? Evaluating springs as potential hydrologic refugia in drying climates: Frontiers in Ecology and the Environment, v. 18, no. 5, p. 245-253, https://doi.org/10.1002/fee.2191.","productDescription":"9 p.","startPage":"245","endPage":"253","ipdsId":"IP-104870","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":456543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2191","text":"Publisher Index Page"},{"id":376026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwire, Kathleen A.","contributorId":225615,"corporation":false,"usgs":false,"family":"Dwire","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[{"id":41171,"text":"US Forest Service, Rocky Mountain Research Station, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":791892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freed, Zach","contributorId":212139,"corporation":false,"usgs":false,"family":"Freed","given":"Zach","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":791893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammer, Samantha J.","contributorId":225616,"corporation":false,"usgs":false,"family":"Hammer","given":"Samantha","email":"","middleInitial":"J.","affiliations":[{"id":41172,"text":"Sky Island Alliance, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":791894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLaughlin, Blair 0000-0002-6422-7592","orcid":"https://orcid.org/0000-0002-6422-7592","contributorId":225617,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Blair","email":"","affiliations":[{"id":41173,"text":"Hampshire College, Amherst, MA","active":true,"usgs":false}],"preferred":false,"id":791895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Misztal, Louise W.","contributorId":225620,"corporation":false,"usgs":false,"family":"Misztal","given":"Louise","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":791896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenk, Edward J. 0000-0001-6886-5754","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":221439,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":40377,"text":"Museum of Northern Arizona Springs Stewardship Institute","active":true,"usgs":false}],"preferred":false,"id":791897,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spencer, John R.","contributorId":167381,"corporation":false,"usgs":false,"family":"Spencer","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":791898,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Springer, Abraham E. 0000-0003-4826-9124","orcid":"https://orcid.org/0000-0003-4826-9124","contributorId":216651,"corporation":false,"usgs":false,"family":"Springer","given":"Abraham","email":"","middleInitial":"E.","affiliations":[{"id":39494,"text":"School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":791899,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stevens, Lawrence E. 0000-0003-4377-974X","orcid":"https://orcid.org/0000-0003-4377-974X","contributorId":225618,"corporation":false,"usgs":false,"family":"Stevens","given":"Lawrence","email":"","middleInitial":"E.","affiliations":[{"id":41174,"text":"Springs Stewardship Institute, Museum of Northern Arizona, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":791900,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70228591,"text":"70228591 - 2020 - Gear comparison study for sampling nekton in Barataria Basin marshes","interactions":[],"lastModifiedDate":"2022-02-14T16:43:43.772396","indexId":"70228591","displayToPublicDate":"2020-06-01T10:38:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":10110,"text":"Technical Report Administrative Summary","active":true,"publicationSubtype":{"id":1}},"title":"Gear comparison study for sampling nekton in Barataria Basin marshes","docAbstract":"This project was funded by the Louisiana Trustee Implementation Group (LA TIG) to support decisions related to investments in long-term monitoring. The LA TIG seeks to ensure long-term monitoring informs coastal restoration activities with the goal of sustaining and improving fisheries impacted by the Deepwater Horizon (DWH) Oil Spill. The project objective was to compare nekton catch across an estuarine gradient using different sampling gear with the goal of identifying trade-offs among nekton sampling approaches. To accomplish this objective, Louisiana Department of Wildlife and Fisheries (LDWF), The Water Institute of the Gulf (the Institute), Dynamic Solutions, LLC, Louisiana State University Agricultural Center (LSU AgCenter), and the U.S. Geological Survey (USGS) completed a field gear comparison study from 2018 to 2019. This work compared electrofisher and seine sampling at 12 fixed stations in Barataria Basin using data collected by LDWF. In addition, and in conjunction with LDWF monthly sampling, the same 12 fixed stations were sampled in May 2019 using a throw trap to compare nekton catch and assemblages collected with the throw trap, seine and electrofisher. LDWF has been conducting seine sampling since 1986, and seine data are used by the State of Louisiana to assess juvenile shrimp, crab and fish abundances, sizes and overall assemblages. In 2018, LDWF began conducting electrofisher sampling at 12 Barataria Basin seine stations in order to determine if the two gear types sample similar species and assemblages for potential future replacement of long-term seine sampling with electrofishing. Throw traps were included as they provide density estimates, which are ultimately the desired statistic used in modeling trophic webs, and are used in assessing habitat restoration outcomes.
The project compared the nekton catch and assemblages collected using seine, electrofisher, and throw trap data from marsh edge habitats located across the estuarine gradient in Barataria Basin. Specifically, catch per unit effort (CPUE), species richness, species-specific total length (mm) distribution and nekton assemblages were compared between gear types. The first dataset was collected in May 2019 with throw trap (Appendix A), seine (LDWF data), and electrofisher (LDWF data) gear, and the second dataset (collected by LDWF) spanned 14 months of seine and electrofisher monthly sampling occurring from May 2018 through June 2019 at 12 stations in Barataria Basin.
Key findings include that gear bias was not evident across the range of water quality conditions (salinity, temperature, o C, dissolved oxygen, mg L-1 , turbidity, NTU; Appendix B: scatter plots) captured during this pilot study, but differences in nekton catch per unit effort (CPUE) and assemblages were evident between gear types. However, those differences largely depended on the parameter examined. For example, the overall CPUE was highest for electrofishing, followed by seine, and then throw trap. When grass shrimp (the most abundant taxon collected) were removed from CPUE, the electrofisher and seine results were similar in CPUE. When CPUE was corrected for gear efficiency and total area sampled, the throw trap had the highest reported density of nekton sampled, followed by electrofisher and seine results. Electrofishing captured the highest number of species, which included more unique species compared to seine or throw trap catches, though all gear types captured at least one unique species. These highlight a need for caution in interpreting assemblage and density data when comparing datasets derived from different sampling methodologies.
These key findings can help inform implementation and interpretation of long-term monitoring data in Louisiana as management decisions are made about coastal restoration projects to sustain and improve fisheries. There are trade-offs in selecting gear types for estuarine nekton monitoring of density, abundance, species richness, and assemblages. The table below (Table 1) summarizes some considerations when selecting gear types for long-term monitoring of estuarine nekton. In addition to biological and ecological considerations, other important considerations include cost, the labor required to conduct sampling, logistics, and potential uncertainties related to how effective each gear type is for sampling the wide variety of conditions found across Louisiana’s coastal habitats. For example, although electrofishing may capture higher CPUE, the equipment is more expensive to obtain and maintain compared to the other gear types. Most importantly, this table highlights differences in the nekton assemblages sampled by each gear type; this consideration is critical when designing the goals of a long-term monitoring program as it will inform how the data can be used and interpreted in the future.
This report provides caveats, assumptions, and recommendations that can help support the Louisiana Coastal Protection and Restoration Authority (CPRA), LDWF and the LA TIG in comparing data from different gear types, and in making decisions for future monitoring. Findings from this study are limited to the range of water quality conditions occurring during these data collection events; these data and analyses could benefit from sampling across a wider range of water quality conditions, and collection of habitat structure and bottom type data which are not routinely collected but critically influence nekton. Further investigation examining how relative differences detected in key species abundances between gear types might impact ecosystem indicators and energetics in a modeled food web would provide valuable input to understand outputs of the Comprehensive Aquatic System Model for Barataria Basin, including the potential impacts of nekton monitoring decisions on food web models.
","language":"English","publisher":"NOAA","usgsCitation":"Taylor, C., La Peyre, M., Sable, S., Kiskaddon, E.P., and Baustian, M., 2020, Gear comparison study for sampling nekton in Barataria Basin marshes: Technical Report Administrative Summary, 67 p.","productDescription":"67 p.","ipdsId":"IP-118449","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395891,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.gulfspillrestoration.noaa.gov/sites/default/files/2020-08%20LA%20TO65_GearCompReport_final_June2020.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.20599365234375,\n 29.106576445680258\n ],\n [\n -89.2694091796875,\n 29.14496502116881\n ],\n [\n -89.40948486328125,\n 29.346269551093652\n ],\n [\n -89.48089599609375,\n 29.336692606945483\n ],\n [\n -89.637451171875,\n 29.432421529604852\n ],\n [\n -89.82696533203125,\n 29.58540020340835\n ],\n [\n -90.09063720703124,\n 29.738147333955528\n ],\n [\n -90.2252197265625,\n 29.654642479663647\n ],\n [\n -90.42022705078125,\n 29.649868677972304\n ],\n [\n -90.22796630859375,\n 29.27442054681336\n ],\n [\n -90.20599365234375,\n 29.106576445680258\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Caleb","contributorId":278588,"corporation":false,"usgs":false,"family":"Taylor","given":"Caleb","affiliations":[],"preferred":false,"id":834706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":834708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiskaddon, Erin P.","contributorId":272886,"corporation":false,"usgs":false,"family":"Kiskaddon","given":"Erin","email":"","middleInitial":"P.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":834709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baustian, Melissa M.","contributorId":189569,"corporation":false,"usgs":false,"family":"Baustian","given":"Melissa M.","affiliations":[],"preferred":false,"id":834818,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210873,"text":"70210873 - 2020 - Combining physical and species‐based approaches improves refugia identification","interactions":[],"lastModifiedDate":"2020-06-30T15:38:25.331939","indexId":"70210873","displayToPublicDate":"2020-06-01T10:36:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Combining physical and species‐based approaches improves refugia identification","docAbstract":"Climate‐change refugia – locations likely to facilitate species persistence under climate change – are increasingly important components of conservation planning. Recent approaches for identifying refugia at broad scales include identifying regions that are projected to experience less severe changes (climatic exposure), that contain a diversity of physical and topographic features (environmental diversity), and that either retain or remain close to suitable climatic conditions (climate tracking, including both “species‐neutral” and species‐based approaches). We compared the degree of agreement between these approaches – with respect to their spatial coverage and other characteristics – across much of North America. This analysis found that approaches based on environmental diversity and species‐neutral climatic gradients both favored topographically complex regions, whereas climatic exposure and species‐based approaches identified regions with a range of topographic characteristics. Species‐based approaches targeting specific habitat groups identified unique regions missed by other approaches, emphasizing the importance of asking the question “refugia for what?” when prioritizing refugia. Our results highlight the necessity of including climatic exposure and species‐based information in addition to topographic diversity and climatic gradients in refugia analyses.
","language":"English","publisher":"Wiley","doi":"10.1002/fee.2207","usgsCitation":"Michalak, J., Stralberg, D., Cartwright, J.M., and Lawler, J.J., 2020, Combining physical and species‐based approaches improves refugia identification: Frontiers in Ecology and the Environment, v. 18, no. 5, p. 254-260, https://doi.org/10.1002/fee.2207.","productDescription":"7 p.","startPage":"254","endPage":"260","ipdsId":"IP-105568","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":456545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2207","text":"Publisher Index Page"},{"id":376025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Michalak, Julia 0000-0002-2524-8390","orcid":"https://orcid.org/0000-0002-2524-8390","contributorId":210589,"corporation":false,"usgs":false,"family":"Michalak","given":"Julia","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":791901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stralberg, Diana","contributorId":187413,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","email":"","affiliations":[],"preferred":false,"id":791902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":791904,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210874,"text":"70210874 - 2020 - Disturbance refugia within mosaics of forest fire, drought, and insect outbreaks","interactions":[],"lastModifiedDate":"2020-06-30T15:35:29.994854","indexId":"70210874","displayToPublicDate":"2020-06-01T10:32:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance refugia within mosaics of forest fire, drought, and insect outbreaks","docAbstract":"Disturbance refugia – locations that experience less severe or frequent disturbances than the surrounding landscape – provide a framework to highlight not only where and why these biological legacies persist as adjacent areas change but also the value of those legacies in sustaining biodiversity. Recent studies of disturbance refugia in forest ecosystems have focused primarily on fire, with a growing recognition of important applications to land management. Given the wide range of disturbance processes in forests, developing a broader understanding of disturbance refugia is important for scientists and land managers, particularly in the context of anthropogenic climate change. We illustrate the framework of disturbance refugia through the individual and interactive effects of three prominent forest disturbance agents: fire, drought, and insect outbreaks. We provide examples of disturbance refugia and related applications to natural resource management in western North America, demonstrate methods for characterizing refugia, identify research priorities, and discuss why a more comprehensive definition of disturbance refugia is relevant to conservation globally.
","language":"English","publisher":"Wiley","doi":"10.1002/fee.2190","usgsCitation":"Krawchuk, M.A., Meigs, G., Cartwright, J.M., Coop, J.D., Davis, R.J., Holz, A., Kolden, C.A., and Meddens, A.J., 2020, Disturbance refugia within mosaics of forest fire, drought, and insect outbreaks: Frontiers in Ecology and the Environment, v. 18, no. 5, p. 235-244, https://doi.org/10.1002/fee.2190.","productDescription":"10 p.","startPage":"235","endPage":"244","ipdsId":"IP-105563","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":456547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2190","text":"Publisher Index Page"},{"id":376024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":791905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meigs, Garrett","contributorId":192344,"corporation":false,"usgs":false,"family":"Meigs","given":"Garrett","affiliations":[],"preferred":false,"id":791906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":791910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":791911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holz, Andres","contributorId":225619,"corporation":false,"usgs":false,"family":"Holz","given":"Andres","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":791912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolden, Crystal A.","contributorId":196909,"corporation":false,"usgs":false,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":791908,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meddens, Arjan J.H.","contributorId":140349,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","email":"","middleInitial":"J.H.","affiliations":[{"id":13466,"text":"Univ. of Idaho","active":true,"usgs":false}],"preferred":false,"id":791907,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210750,"text":"70210750 - 2020 - Annual outbreaks of coral disease coincide with extreme seasonal warming","interactions":[],"lastModifiedDate":"2020-09-01T19:54:54.432553","indexId":"70210750","displayToPublicDate":"2020-06-01T10:29:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Annual outbreaks of coral disease coincide with extreme seasonal warming","docAbstract":"Reef-building corals living in extreme environments can provide insight into the negative effects of future climate scenarios. In hot environments, coral communities experience disproportionate thermal stress as they live very near or at their upper thermal limits. This results in a high frequency of bleaching episodes, but it is unknown whether temperature-driven outbreaks of coral disease follow a similar trajectory. Here we tracked outbreaks of a white-syndrome (WS) disease over three years in the hottest region inhabited by reef-building corals, the southern Persian Gulf. From 2014 to 2016, WS affected 10 of the 16 scleractinian genera recorded at inshore and offshore sites. Intra- and inter-specific transmission of lesions was frequently observed, indicative of a single contagious disease infecting multiple coral taxa. Colonies of Acropora were the most susceptible to WS disease and were more than twice as likely to experience lesions than any other genera. Prevalence reached 42% of Acropora colonies and lesions progressed at an average rate of 1 mm day−1. Platygyra colonies were the second most susceptible to WS disease, where prevalence reached 33% and lesions progressed at 0.3 mm day−1. Affected colonies of both of these genera suffered considerable partial mortality that was not recovered between years, promoting the fragmentation of larger colonies into smaller size classes. Across the 3 years of our study, the onset of WS outbreaks occurred early in summer and prevalence increased exponentially with cumulative heat exposure (coral community r2 = 0.55, Acropora r2 = 0.72, Platygyra r2 = 0.75). Peak levels of community-wide prevalence occurred in August (10% of all coral colonies) to September (14%) when preceding 4-week and 8-week average temperatures exceeded 34.5 °C and 34 °C, respectively. Outbreaks ceased following the return of cooler temperatures with prevalence remaining below 0.5% between December and June. Levels of bleaching remained relatively low (< 5% prevalence), despite exposure to daily temperatures ≥ 35 °C each summer. These findings demonstrate that thermal stress on coral reefs does not always manifest as coral bleaching and diseases can present as a primary sign of thermal stress. Consequently, temperature-driven outbreaks of coral disease are expected to become more widespread as climate warming pushes corals to be living increasingly closer to their upper thermal limits.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-020-01946-2","usgsCitation":"Howells, E., Vaughan, G., Work, T.M., Burt, J., and Abrego, D., 2020, Annual outbreaks of coral disease coincide with extreme seasonal warming: Coral Reefs, v. 39, p. 771-781, https://doi.org/10.1007/s00338-020-01946-2.","productDescription":"11 p.","startPage":"771","endPage":"781","ipdsId":"IP-118154","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":375818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Arab Emirates","otherGeospatial":"Saadiyat Island, Sir Bu Nair Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 54.483089447021484,\n 24.585685459954053\n ],\n [\n 54.47038650512695,\n 24.591617065145016\n ],\n [\n 54.40996170043945,\n 24.54243869415631\n ],\n [\n 54.39434051513672,\n 24.544312509374677\n ],\n [\n 54.39004898071289,\n 24.533693853166223\n ],\n [\n 54.412879943847656,\n 24.512297656236697\n ],\n [\n 54.43519592285156,\n 24.510110978302787\n ],\n [\n 54.458885192871094,\n 24.50230110365353\n ],\n [\n 54.46592330932617,\n 24.503082112955468\n ],\n [\n 54.46678161621093,\n 24.53150754771787\n ],\n [\n 54.46729660034179,\n 24.553525027129414\n ],\n [\n 54.483089447021484,\n 24.585685459954053\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 54.187660217285156,\n 25.20618368765908\n ],\n [\n 54.246368408203125,\n 25.20618368765908\n ],\n [\n 54.246368408203125,\n 25.25711665985981\n ],\n [\n 54.187660217285156,\n 25.25711665985981\n ],\n [\n 54.187660217285156,\n 25.20618368765908\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2020-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Howells, Emily","contributorId":225444,"corporation":false,"usgs":false,"family":"Howells","given":"Emily","email":"","affiliations":[{"id":41112,"text":"Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","active":true,"usgs":false}],"preferred":false,"id":791235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, Grace","contributorId":225445,"corporation":false,"usgs":false,"family":"Vaughan","given":"Grace","email":"","affiliations":[{"id":41112,"text":"Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","active":true,"usgs":false}],"preferred":false,"id":791236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":791237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burt, John","contributorId":225446,"corporation":false,"usgs":false,"family":"Burt","given":"John","email":"","affiliations":[{"id":41112,"text":"Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates","active":true,"usgs":false}],"preferred":false,"id":791238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abrego, David","contributorId":225447,"corporation":false,"usgs":false,"family":"Abrego","given":"David","email":"","affiliations":[{"id":41113,"text":"Department of Natural Science and Public Health, Zayed University, Abu Dhabi, United Arab Emirates","active":true,"usgs":false}],"preferred":false,"id":791239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237093,"text":"70237093 - 2020 - Real-time performance of the PLUM earthquake early warning method during the 2019 M6.4 and M7.1 Ridgecrest, California, Earthquakes","interactions":[],"lastModifiedDate":"2022-09-29T15:11:20.640006","indexId":"70237093","displayToPublicDate":"2020-06-01T10:04:14","publicationYear":"2020","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":"Real-time performance of the PLUM earthquake early warning method during the 2019 M6.4 and M7.1 Ridgecrest, California, Earthquakes","docAbstract":"We evaluate the timeliness and accuracy of ground‐motion‐based earthquake early warning (EEW) during the July 2019 M6.4 and 7.1 Ridgecrest earthquakes. In 2018, we began retrospective and internal real‐time testing of the propagation of local undamped motion (PLUM) method for earthquake warning in California, Oregon, and Washington, with the potential that PLUM might one day be included in the ShakeAlert EEW system. A real‐time version of PLUM was running on one of the ShakeAlert EEW system’s development servers at the time of the 2019 Ridgecrest sequence, allowing us to evaluate the timeliness and accuracy of PLUM’s warnings for the M6.4 and 7.1 mainshocks in real time with the actual data availability and latencies of the operational ShakeAlert EEW system. The latter is especially important because high‐data latencies during the M7.1 earthquake degraded ShakeAlert’s performance. PLUM proved to be largely immune to these latencies. In this article, we present a retrospective analysis of PLUM performance and explore three potential regional alerting strategies ranging from spatially large regions (counties), to moderate‐size regions (National Weather Service public forecast zones), to high‐spatial specificity (50 km regular geographic grid). PLUM generated initial shaking forecasts for the two mainshocks 5 and 6 s after their respective origin times, and faster than the ShakeAlert system’s first alerts. PLUM was also able to accurately forecast shaking across southern California for all three alerting strategies studied. As would be expected, a cost‐benefit analysis of each approach illustrates trade‐offs between increasing warning time and minimizing the area receiving unneeded alerts. Choosing an optimal alerting strategy requires knowledge of users’ false alarm tolerance and minimum required warning time for taking protective action, as well as the time required to distribute alerts to users.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200021","usgsCitation":"Minson, S.E., Saunders, J.K., Bunn, J., Cochran, E.S., Baltay Sundstrom, A.S., Kilb, D.L., Hoshiba, M., and Kodera, Y., 2020, Real-time performance of the PLUM earthquake early warning method during the 2019 M6.4 and M7.1 Ridgecrest, California, Earthquakes: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1887-1903, https://doi.org/10.1785/0120200021.","productDescription":"7 p.","startPage":"1887","endPage":"1903","ipdsId":"IP-115052","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456548,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20200827-142633476","text":"External Repository"},{"id":407602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.79335021972655,\n 35.58529318061384\n ],\n [\n -117.55233764648438,\n 35.58529318061384\n ],\n [\n -117.55233764648438,\n 35.70749253887843\n ],\n [\n -117.79335021972655,\n 35.70749253887843\n ],\n [\n -117.79335021972655,\n 35.58529318061384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, Jessie Kate 0000-0001-5340-6715","orcid":"https://orcid.org/0000-0001-5340-6715","contributorId":290634,"corporation":false,"usgs":true,"family":"Saunders","given":"Jessie","email":"","middleInitial":"Kate","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunn, Julian","contributorId":216379,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":853319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":853321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":853322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoshiba, Mitsuyuki","contributorId":216382,"corporation":false,"usgs":false,"family":"Hoshiba","given":"Mitsuyuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":853323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kodera, Yuki","contributorId":290636,"corporation":false,"usgs":false,"family":"Kodera","given":"Yuki","email":"","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":853324,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210738,"text":"70210738 - 2020 - Impacts of hydrothermal plume processes on oceanic metal cycles and transport","interactions":[],"lastModifiedDate":"2020-06-23T14:59:50.64286","indexId":"70210738","displayToPublicDate":"2020-06-01T09:58:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of hydrothermal plume processes on oceanic metal cycles and transport","docAbstract":"Chemical, physical and biological processes in hydrothermal plumes control the flux of elements from hydrothermal vents to the global oceans. The timescales of these processes range from less than a second, as the hydrothermal fluid mixes with seawater at the seafloor, to decades, as the plume disperses over thousands of kilometers. Integrating hydrothermal geochemistry throughout the lifetime of the plume reveals some well constrained processes, along with many surprises. For instance, contrary to the idea that metals are removed from the hydrothermal plume via oxidation, a survey of recent datasets reveals that oxidation of iron and manganese does not consistently result in their removal from the plume, and that manganese may be lost from the water column more rapidly than iron. These observations suggest that the understanding of element transport in hydrothermal plumes is incomplete, partly due to the change in removal processes as the plume disperses from less than 1 km from the vent to more than 4,000 km. We suggest that characterizing the plume based on regions that retain some reduced components versus those that are fully oxidized, in addition to buoyancy, will illuminate the nature of the dominant processes and allow a more complete understanding of the ultimate fate of hydrothermally derived metals.","language":"English","publisher":"Nature","doi":"10.1038/s41561-020-0579-0","usgsCitation":"Gartman, A., and Findlay, A.J., 2020, Impacts of hydrothermal plume processes on oceanic metal cycles and transport: Nature Geoscience, v. 13, p. 396-402, https://doi.org/10.1038/s41561-020-0579-0.","productDescription":"7 p.","startPage":"396","endPage":"402","ipdsId":"IP-112031","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":375808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2020-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Findlay, Alyssa J.","contributorId":215547,"corporation":false,"usgs":false,"family":"Findlay","given":"Alyssa","email":"","middleInitial":"J.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":791187,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226825,"text":"70226825 - 2020 - Major-oxide and trace-element geochemical data from rocks collected on Little Sitkin Island, from Little Sitkin Volcano, Alaska","interactions":[],"lastModifiedDate":"2021-12-14T15:14:39.043661","indexId":"70226825","displayToPublicDate":"2020-06-01T09:04:41","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9953,"text":"Raw Data File","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2020-4","title":"Major-oxide and trace-element geochemical data from rocks collected on Little Sitkin Island, from Little Sitkin Volcano, Alaska","docAbstract":"During the 2005 summer field season, geologists Michelle Coombs, Christina Neal, and Jessica Larsen from the University of Alaska, Fairbanks and the U.S. Geological survey, Alaska Volcano Observatory (AVO) conducted fieldwork on Little Sitkin Island in the western Aleutians of Alaska. The primary purpose of the fieldwork was to install geophysical networks for volcano monitoring. As part of this effort, AVO geologists conducted reconnaissance fieldwork focused primarily on sample collection for geochemistry.
","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys, University of Alaska Fairbanks","doi":"10.14509/30440","usgsCitation":"Larsen, J., Neal, C.A., and Cameron, C.E., 2020, Major-oxide and trace-element geochemical data from rocks collected on Little Sitkin Island, from Little Sitkin Volcano, Alaska: Raw Data File 2020-4, 6 p., https://doi.org/10.14509/30440.","productDescription":"6 p.","ipdsId":"IP-119057","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/30440","text":"Publisher Index Page"},{"id":392858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Little Sitkin Island, Little Sitkin Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 178.42208862304688,\n 51.8913252533494\n ],\n [\n 178.5944366455078,\n 51.8913252533494\n ],\n [\n 178.5944366455078,\n 52.00158094159358\n ],\n [\n 178.42208862304688,\n 52.00158094159358\n ],\n [\n 178.42208862304688,\n 51.8913252533494\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":828404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl E. 0000-0001-6366-2130","orcid":"https://orcid.org/0000-0001-6366-2130","contributorId":194695,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":828406,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236144,"text":"70236144 - 2020 - Basinwide hydroclimatic drought in the Colorado River basin","interactions":[],"lastModifiedDate":"2022-08-30T13:55:23.296854","indexId":"70236144","displayToPublicDate":"2020-06-01T08:50:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Basinwide hydroclimatic drought in the Colorado River basin","docAbstract":"The Colorado River basin (CRB) supplies water to approximately 40 million people and is essential to hydropower generation, agriculture, and industry. In this study, a monthly water balance model is used to compute hydroclimatic water balance components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff) for the period 1901–2014 across the entire CRB. The time series of monthly runoff is aggregated to compute water-year runoff and then used to identify drought periods in the basin. For the 1901–2014 period, eight basinwide drought periods were identified. The driest drought period spanned years 1901–04, whereas the longest drought period occurred during 1943–56. The eight droughts were primarily driven by winter precipitation deficits rather than warm temperature anomalies. In addition, an analysis of prehistoric drought for the CRB—computed using tree-ring-based reconstructions of the Palmer drought severity index—indicates that during some past centuries drought frequency was higher than during the twentieth century and that some centuries experienced droughts that were much longer than those during the twentieth century. More frequent or longer droughts than those that occurred during the twentieth century, combined with continued warming associated with climate change, may lead to substantial future water deficits in the CRB.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-20-0001.1","usgsCitation":"McCabe, G.J., Wolock, D.M., Woodhouse, C., Pederson, G.T., McAfee, S.A., Gray, S., and Csank, A., 2020, Basinwide hydroclimatic drought in the Colorado River basin: Earth Interactions, v. 24, no. 2, p. 1-20, https://doi.org/10.1175/EI-D-20-0001.1.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-117843","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":456554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-20-0001.1","text":"Publisher Index Page"},{"id":405901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.75195312499999,\n 32.76880048488168\n ],\n [\n -113.8623046875,\n 32.39851580247402\n ],\n [\n -111.357421875,\n 31.42866311735861\n ],\n [\n -109.2041015625,\n 31.353636941500987\n ],\n [\n -108.369140625,\n 31.353636941500987\n ],\n [\n -108.10546875,\n 32.91648534731439\n ],\n [\n -107.9296875,\n 34.84987503195418\n ],\n [\n -107.5341796875,\n 36.35052700542763\n ],\n [\n -105.46875,\n 37.71859032558816\n ],\n [\n -105.380859375,\n 38.95940879245423\n ],\n [\n -105.29296874999999,\n 39.90973623453719\n ],\n [\n -105.5126953125,\n 40.97989806962013\n ],\n [\n -107.138671875,\n 42.4234565179383\n ],\n [\n -108.8525390625,\n 43.70759350405294\n ],\n [\n -110.0830078125,\n 43.929549935614595\n ],\n [\n -110.6982421875,\n 43.03677585761058\n ],\n [\n -111.005859375,\n 41.31082388091818\n ],\n [\n -112.19238281249999,\n 38.54816542304656\n ],\n [\n -112.9833984375,\n 37.96152331396614\n ],\n [\n -114.08203125,\n 38.34165619279595\n ],\n [\n -115.1806640625,\n 39.50404070558415\n ],\n [\n -116.103515625,\n 39.232253141714885\n ],\n [\n -115.97167968750001,\n 37.579412513438385\n ],\n [\n -115.79589843749999,\n 35.71083783530009\n ],\n [\n -115.3564453125,\n 34.30714385628804\n ],\n [\n -115.75195312499999,\n 32.76880048488168\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":850244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodhouse, Connie A.","contributorId":295950,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":850246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":850247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAfee, Stephanie A.","contributorId":295952,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":850248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Stephen T. 0000-0002-0959-3418 sgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-3418","contributorId":209851,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen","email":"sgray@usgs.gov","middleInitial":"T.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":850249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Csank, Adam","contributorId":295955,"corporation":false,"usgs":false,"family":"Csank","given":"Adam","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":850250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211651,"text":"70211651 - 2020 - Managing climate refugia for freshwater fishes under an expanding human footprint","interactions":[],"lastModifiedDate":"2020-08-06T18:47:55.209802","indexId":"70211651","displayToPublicDate":"2020-06-01T08:42:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5993,"text":"Frontiers in Ecology and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate refugia for freshwater fishes under an expanding human footprint","docAbstract":"Within the context of climate adaptation, the concept of climate refugia has emerged as a framework for addressing future threats to freshwater fish populations. 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\"}}]}","volume":"18","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":794934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quinones, Rebecca M.","contributorId":172968,"corporation":false,"usgs":false,"family":"Quinones","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Shaun","contributorId":171685,"corporation":false,"usgs":false,"family":"Clements","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":794936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212930,"text":"70212930 - 2020 - U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska","interactions":[],"lastModifiedDate":"2020-09-02T13:42:18.190445","indexId":"70212930","displayToPublicDate":"2020-06-01T08:37:06","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":6482,"text":"Preliminary Interpretive Reports","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"2020-2","title":"U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska","docAbstract":"This Alaska Division of Geological & Geophysical Surveys (DGGS) Preliminary Interpretive Report presents U-Pb ages of zircons from 14 sedimentary, metamorphic, and igneous samples collected during 2017 and 2018 field investigations in the northeastern Tanacross Quadrangle, Alaska. The DGGS Northeast Tanacross project is a part of multi-year effort to investigate the geology and mineral-resource potential of the Yukon-Tanana Uplands region in collaboration with the U.S. Geological Survey. The purpose of the U-Pb isotopic study is to better understand the Devonian-to-Mississippian and Mesozoic-to-Early Paleogene episodes of magmatic and tectonic events within the Yukon-Tanana Uplands and the relationship of magmatism to the metallic mineral deposits.
This area is characterized by the presence of two Late Devonian to Mississippian metamorphic assemblages-Lake George and Fortymile River (Dusel-Bacon and others, 2006; Foster, 1970). Both assemblages are composed of metasedimentary and metavolcanic rocks that have been intruded by Devonian to Eocene intrusive rocks of varying composition and texture. Paleozoic intrusive rocks are deformed and metamorphosed and include prevalent Late Devonian-Early Mississippian augen orthogneiss, herein called the Divide Mountain suite, that was emplaced into and deformed together with the Lake George assemblage (Aleinikoff and others, 1986). The Fortymile River assemblage is primarily cross-cut by Mississippian to Permian intrusive rocks that are also pervasively deformed and metamorphosed. Following Jurassic to mid-Cretaceous regional metamorphism and deformation, all metamorphic rock packages were intruded by Mid- to Late-Cretaceous volcanic and plutonic rocks (Naibert and others, 2018), some of which have known or suspected potential for gold together with silver, zinc, copper, and lead mineralization.
Products included in this data release are: A summary of sample-collection methods, the laboratory report, analytical data tables, and associated metadata. All components of this data release are available on the DGGS website http://doi.org/10.14509/30465.
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/30465","usgsCitation":"Wypych, A., Jones, J.V., and O’Sullivan, P.B., 2020, U-Pb Zircon ages from bedrock samples collected in the Tanacross D-1, and parts of the D-2, C-1, and C-2 quadrangles, Alaska: Preliminary Interpretive Reports 2020-2, 20 p., https://doi.org/10.14509/30465.","productDescription":"20 p.","ipdsId":"IP-120142","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":456559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/30465","text":"Publisher Index Page"},{"id":378095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanacross quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -143.28918457031247,\n 62.83007274089145\n ],\n [\n -141.0205078125,\n 62.83007274089145\n ],\n [\n -141.0205078125,\n 63.56567518468513\n ],\n [\n -143.28918457031247,\n 63.56567518468513\n ],\n [\n -143.28918457031247,\n 62.83007274089145\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wypych, Alicja","contributorId":216040,"corporation":false,"usgs":false,"family":"Wypych","given":"Alicja","email":"","affiliations":[{"id":39354,"text":"State of Alaska Department of Natural Resources DGGS Fairbanks","active":true,"usgs":false}],"preferred":false,"id":797827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":797828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":797829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210432,"text":"70210432 - 2020 - Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient","interactions":[],"lastModifiedDate":"2020-08-05T13:38:13.450998","indexId":"70210432","displayToPublicDate":"2020-06-01T08:05:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient","docAbstract":"Microscopic solid bitumen is a petrographically defined secondary organic matter residue produced during petroleum generation and subsequent oil transformation. The presence of solid bitumen impacts many reservoir properties including porosity, permeability, and hydrocarbon generation and storage, among others. Furthermore, solid bitumen reflectance is an important parameter for assessing the thermal maturity of formations with little to no vitrinite. While the molecular composition of solid bitumen will strongly impact associated parameters such as the development of organic matter porosity, hydrocarbon generation, and optical reflectance, assessing the molecular composition of solid bitumen in situ within shale reservoirs can be challenging due to the small grain sizes (often ≤1 μm in diameter) and the inherent heterogeneity of shale formations. Here we employ the recently developed atomic force microscopy based infrared spectroscopy (AFM-IR) technique to investigate solid bitumen molecular composition in situ within shale samples from the Late Cretaceous Eagle Ford Group. These samples possess sulfur-rich type II kerogens that span a natural thermal maturity gradient from early oil generation to the dry gas window. The application of AFM-IR allows for the rapid collection of thousands of compositional measurements from solid bitumen with ∼50 nm resolution. Our results indicate that (i) solid bitumen from the lower Eagle Ford displays both intra- and intergranular variation in the relative abundance of CH2, C═C, and C═O moieties present; (ii) this molecular variation tends to, but does not always, decrease with an increase in thermal maturity; and (iii) the solid bitumen composition between samples, from an atomic ratio perspective, is more similar than analysis of bulk kerogen isolates would indicate. These findings are discussed with perspective toward understanding the impact of thermal stress on the composition of secondary organic matter within the Eagle Ford Shale and highlight the growing awareness that organic matter heterogeneity within petroliferous mudrocks extends down to the nanoscale regime.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.0c00963","usgsCitation":"Jubb, A., Birdwell, J.E., Hackley, P.C., Hatcherian, J.J., and Qu, J., 2020, Nanoscale molecular composition of solid bitumen from the Eagle Ford Group across a natural thermal maturity gradient: Energy and Fuels, v. 34, no. 7, p. 8167-8177, https://doi.org/10.1021/acs.energyfuels.0c00963.","productDescription":"11 p.","startPage":"8167","endPage":"8177","ipdsId":"IP-117183","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":456561,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.energyfuels.0c00963","text":"Publisher Index Page"},{"id":436949,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PGXS53","text":"USGS data release","linkHelpText":"Nanoscale Molecular Composition of Solid Bitumen from the Eagle Ford Group Across a Natural Thermal Maturity Gradient"},{"id":375308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":790280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qu, Jing","contributorId":219317,"corporation":false,"usgs":false,"family":"Qu","given":"Jing","email":"","affiliations":[],"preferred":false,"id":790281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215642,"text":"70215642 - 2020 - Unexplained patterns of grey wolf Canis lupus natal dispersal","interactions":[],"lastModifiedDate":"2020-10-27T12:16:01.362616","indexId":"70215642","displayToPublicDate":"2020-06-01T06:53:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2651,"text":"Mammal Review","active":true,"publicationSubtype":{"id":10}},"title":"Unexplained patterns of grey wolf Canis lupus natal dispersal","docAbstract":"Natal dispersal (movement from the site of birth to the site of reproduction) is a pervasive but highly varied characteristic of life forms. Thus, understanding it in any species informs many aspects of biology, but studying it in most species is difficult. In the grey wolf Canis lupus, natal dispersal has been well studied. Maturing members of both sexes generally leave their natal packs, pair with opposite‐sex dispersers from other packs, near or far, select a territory, and produce their own offspring. However, three movement patterns of some natal‐dispersing wolves remain unexplained: 1) long‐distance dispersal when potential mates seem nearby, 2) round‐trip travels from their natal packs for varying periods and distances, also called extraterritorial movements, and often not resulting in pairing, and 3) coincidental dispersal by individual wolves from a given area in the same basic directions and over the same long distances. This perspective article documents and discusses these unexplained dispersal patterns, suggests possible explanations, and calls for additional research to understand them more clearly.
","language":"English","publisher":"Wiley","doi":"10.1111/mam.12198","usgsCitation":"Mech, L.D., 2020, Unexplained patterns of grey wolf Canis lupus natal dispersal: Mammal Review, v. 50, no. 3, p. 314-323, https://doi.org/10.1111/mam.12198.","productDescription":"10 p.","startPage":"314","endPage":"323","ipdsId":"IP-112039","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70229340,"text":"70229340 - 2020 - Fish predation on a landscape scale","interactions":[],"lastModifiedDate":"2022-03-04T12:50:54.554435","indexId":"70229340","displayToPublicDate":"2020-06-01T06:43:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fish predation on a landscape scale","docAbstract":"Predator–prey dynamics can have landscape-level impacts on ecosystems, and yet, spatial patterns and environmental predictors of predator–prey dynamics are often investigated at discrete locations, limiting our understanding of the broader impacts. At these broader scales, landscapes often contain multiple complex and heterogeneous habitats, requiring a spatially representative sampling design. This challenge is especially pronounced in California’s Sacramento–San Joaquin River Delta, where managers require information on the landscape-scale impacts of non-native fish predators on multiple imperiled native prey fish populations. We quantified relative predation risk in the southern half of the Delta (South Delta) in 2017 using floating baited tethers that record the exact time and location of predation events. We selected 20 study sites using a generalized random tessellation stratified survey design, which allowed us to infer relationships between key environmental covariates and predation across a broader spatial scale than previous studies. Covariates included distance-to-nearest predators, water temperature, turbidity, depth, bottom slope, bottom roughness, water velocity, and distance-to-nearest riverbank and nearest aquatic vegetation bed. Model selection determined the covariates that best predicted relative predation risk: water temperature, time of day, mean predator distance, and river bottom roughness. Using this model, we estimated predation risk for the South Delta landscape at a 1-day and 1-km resolution. This effort identified hot spots of predation risk and allowed us to generate predicted survival for migrating fish transiting the South Delta. This methodology can be applied to other systems to evaluate spatio-temporal dynamics in predation risk, and their biotic and abiotic predictors.
Despite decades of effort toward reducing nitrogen and phosphorus flux to Chesapeake Bay, water-quality and ecological responses in surface waters have been mixed. Recent research, however, provides useful insight into multiple factors complicating the understanding of nutrient trends in bay tributaries, which we review in this paper, as we approach a 2025 total maximum daily load (TMDL) management deadline. Improvements in water quality in many streams are attributable to management actions that reduced point sources and atmospheric nitrogen deposition and to changes in climate. Nutrient reductions expected from management actions, however, have not been fully realized in watershed streams. Nitrogen from urban nonpoint sources has declined, although water-quality responses to urbanization in individual streams vary depending on predevelopment land use. Evolving agriculture, the largest watershed source of nutrients, has likely contributed to local nutrient trends but has not affected substantial changes in flux to the bay. Changing average nitrogen yields from farmland underlain by carbonate rocks, however, may suggest future trends in other areas under similar management, climatic, or other influences, although drivers of these changes remain unclear. Regardless of upstream trends, phosphorus flux to the bay from its largest tributary has increased due to sediment infill in the Conowingo Reservoir. In general, recent research emphasizes the utility of input reductions over attempts to manage nutrient fate and transport at limiting nutrients in surface waters. Ongoing research opportunities include evaluating effects of climate change and conservation practices over time and space and developing tools to disentangle and evaluate multiple influences on regional water quality.
","language":"English","publisher":"ACSESS","doi":"10.1002/jeq2.20101","usgsCitation":"Ator, S., Blomquist, J.D., Webber, J.S., and Chanat, J.G., 2020, Factors driving nutrient trends in streams of the Chesapeake Bay watershed: Journal of Environmental Quality, v. 49, no. 4, p. 812-834, https://doi.org/10.1002/jeq2.20101.","productDescription":"23 p.","startPage":"812","endPage":"834","ipdsId":"IP-112009","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":456568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20101","text":"Publisher Index Page"},{"id":395389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": 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-75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":215458,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211676,"text":"70211676 - 2020 - Development and evaluation of an improved TFM formulation for use in feeder stream treatments","interactions":[],"lastModifiedDate":"2021-01-26T17:46:31.983326","indexId":"70211676","displayToPublicDate":"2020-05-31T11:43:47","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":7568,"text":"Project Completion Report","active":true,"publicationSubtype":{"id":3}},"title":"Development and evaluation of an improved TFM formulation for use in feeder stream treatments","docAbstract":"The binational Great Lakes Fishery Commission sponsored Sea Lamprey Control Program effectively utilizes a variety of lampricide tools to keep populations of parasitic sea lampreys in the Great Lakes at levels that do not cause undue economic or ecological damage. The most widely used toxicant used in lampricide formulations is 3-trifluoromethyl-4-nitrophenol (TFM). In typical treatments, a liquid TFM formulation is applied to lamprey producing streams continuously for 10–14 hours to produce a moving block of lampricide-treated water that kills larval lamprey before they metamorphose into their parasitic lifestage. In many smaller tributaries of dendritic streams a solid bar formulation of TFM is used to supplement the mainstem treatment block. These supplemental TFM bar applications are coordinated with the arrival of the mainstem lampricide to prevent larval sea lamprey from seeking refuge in untreated waters and surviving the treatment. TFM bars are produced from formulated surfactants and designed to release TFM over an 8–10-hour period, depending on water temperature and velocity. However, some of the surfactants have been discontinued resulting in the reformulation of the TFM bars multiple times. As a result of these reformulations, TFM bar performance has declined.\n\nAn experimental surfactant-free solid TFM tablet formulation was developed as a potential replacement for TFM bars. Release of TFM from the experimental tablets was evaluated using replicated laboratory dissolution trials conducted at three water temperatures and three water velocities. A continuous-flow laboratory flume was used for the dissolution trials and the decay of the tablets was modeled using logistic decay curves. Time required for the TFM tablet to decay 50 and 99% were compared among the groups using a two-way analysis of variance. Post-hoc Tukey Honest Significant Difference tests indicated that both water temperature and water velocity influenced the decay of the tablet; however, neither water temperature or water velocity appeared to dramatically influence TFM release. Results from this laboratory study indicate that the next stage of evaluating the TFM tablets using field tests is warranted.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Luoma, J.A., Robertson, N., Schloesser, N., Kirkeeng, C., Schueller, J., and Meulemans, E., 2020, Development and evaluation of an improved TFM formulation for use in feeder stream treatments: Project Completion Report, 19 p.","productDescription":"19 p.","ipdsId":"IP-118346","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":382605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382604,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/2018_LAN_76012.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Nicholas","contributorId":237024,"corporation":false,"usgs":false,"family":"Robertson","given":"Nicholas","email":"","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":795006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meulemans, Erica","contributorId":237027,"corporation":false,"usgs":false,"family":"Meulemans","given":"Erica","email":"","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":795010,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210727,"text":"70210727 - 2020 - Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","interactions":[],"lastModifiedDate":"2020-06-19T15:09:34.065183","indexId":"70210727","displayToPublicDate":"2020-05-31T10:02:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","title":"Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss )","docAbstract":"Piscine orthoreovirus genotype 1 (PRV‐1) is the causative agent of heart and skeletal muscle inflammation (HSMI) in farmed Atlantic salmon (Salmo salar L.). The virus has also been found in Pacific salmonids in western North America, raising concerns about the risk to native salmon and trout. Here, we report the results of laboratory challenges using juvenile Chinook salmon, coho salmon and rainbow trout injected with tissue homogenates from Atlantic salmon testing positive for PRV‐1 or with control material. Fish were sampled at intervals to assess viral RNA transcript levels, haematocrit, erythrocytic inclusions and histopathology. While PRV‐1 replicated in all species, there was negligible mortality in any group. We observed a few erythrocytic inclusion bodies in fish from the PRV‐1‐infected groups. At a few time points, haematocrits were significantly lower in the PRV‐1‐infected groups relative to controls, but in no case was anaemia noted. The most common histopathological finding was mild, focal myocarditis in both the non‐infected controls and PRV‐1‐infected fish. All cardiac lesions were judged mild, and none were consistent with those of HSMI. Together, these results suggest all three species are susceptible to PRV‐1 infection, but in no case did infection cause notable disease in these experiments.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13182","usgsCitation":"Purcell, M.K., Powers, R., Taksdal, T., Mckenney, D., Conway, C.M., Elliott, D.G., Polinski, M., Garver, K.A., and Winton, J., 2020, Consequences of Piscine orthoreovirus genotype 1 (PRV‐1) infections in Chinook salmon (Oncorhynchus tshawytscha ), coho salmon (O. kisutch ) and rainbow trout (O. mykiss ): Journal of Fish Diseases, v. 43, no. 7, p. 719-728, https://doi.org/10.1111/jfd.13182.","productDescription":"10 p.","startPage":"719","endPage":"728","ipdsId":"IP-113652","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":456570,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfd.13182","text":"Publisher Index Page"},{"id":436950,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HAD6D0","text":"USGS data release","linkHelpText":"Laboratory exposure of Chinook salmon (Oncorhynchus tshawytscha), coho salmon (O. kisutch) and rainbow trout (O. mykiss) to a Pacific Canadian strain of piscine orthoreovirus genotype one (PRV-1)"},{"id":375777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Rachel L. 0000-0001-6901-4361","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":190182,"corporation":false,"usgs":true,"family":"Powers","given":"Rachel L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taksdal, Torunn","contributorId":225423,"corporation":false,"usgs":false,"family":"Taksdal","given":"Torunn","email":"","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":791134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mckenney, Douglas 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":220174,"corporation":false,"usgs":true,"family":"Mckenney","given":"Douglas","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polinski, Mark","contributorId":225424,"corporation":false,"usgs":false,"family":"Polinski","given":"Mark","affiliations":[{"id":12619,"text":"Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":791138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garver, Kyle A.","contributorId":149992,"corporation":false,"usgs":false,"family":"Garver","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":17880,"text":"Fisheries and Oceans, Canada, Pacific Biological Station, Nanaimo, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":791139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791140,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211207,"text":"70211207 - 2020 - Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry","interactions":[],"lastModifiedDate":"2020-07-20T12:45:37.322765","indexId":"70211207","displayToPublicDate":"2020-05-30T13:15:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2304,"text":"Journal of Geodynamics","active":true,"publicationSubtype":{"id":10}},"title":"Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry","docAbstract":"Retroarc foreland basins are important archives of continental arc magmatism and upper plate deformational processes that control the evolution of continental lithosphere. However, resolving source areas in foreland basin infill dominated from mixed mafic and recycled sediment using conventional methods such as detrital zircon geochronology poses a challenge to thorough analysis due to lower zircon fertility and the higher susceptibility to weathering of mafic lithologies. Here, we integrate whole rock 40Ar/39Ar geochronology and major and trace element geochemistry data from volcanic clasts from the lower Miocene infill of the Magallanes-Austral Basin and local Sierra Baguales intrusive rocks to understand the distribution of mafic sources and Neogene changes in arc magmatism in between multiple ridge subduction events in the southern Patagonian Andes. Potential source areas for the coarse-grained mafic detritus include the Eocene plateau lavas, the Late Jurassic-Miocene Southern Patagonian batholith, and the Late Jurassic Sarmiento Ophiolitic Complex. Published detrital zircon U-Pb age spectra suggest that all three sources are viable contributors to the basin, though the paucity of Jurassic and Eocene zircons preclude these as major sources. Here, new 40Ar/39Ar dating of the volcanic clasts from the early Miocene Río Guillermo Formation reveals latest Oligocene to early Miocene eruptive ages (∼25-22 Ma), indicating syndepositional eruption with the ancestral Río Guillermo fluvial sedimentation. A single dated clast yields a Late Cretaceous age (∼102 Ma). The clasts are dominantly basaltic andesite with Ba/Ta ∼500-1000, La/Ta >20, and Ba/La >15, indicating an arc-derived melt source. We propose that the clasts record a Miocene mafic continental arc source area in the Patagonian Andes, which has since been removed by erosion and is thus sparsely represented in the batholith. Furthermore, we suggest that this early Miocene phase of arc volcanism, which postdates Eocene and Oligocene backarc magmatism and pre-dates middle Miocene to recent Chile Ridge backarc magmatism, reflects a return to normal arc volcanism along the Patagonian margin following a cessation due to ridge subduction and subsequent slab window migration. New geochemistry and 40Ar/39Ar data from a basaltic dike in the Sierra Baguales, which crosscuts the Cenozoic stratigraphic section, records plateau magmatism ∼16 Ma associated with incipient Chile Ridge slab window volcanism.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jog.2020.101751","usgsCitation":"VanderLeest, R.A., Fosdick, J., Leonard, J.S., and Morgan, L.E., 2020, Detrital record of the late Oligocene – Early Miocene mafic volcanic arc in the southern Patagonian Andes (~51 °S) from single-clast geochronology and trace element geochemistry: Journal of Geodynamics, v. 138, 1001751, 15 p., https://doi.org/10.1016/j.jog.2020.101751.","productDescription":"1001751, 15 p.","ipdsId":"IP-113443","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456573,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jog.2020.101751","text":"Publisher Index Page"},{"id":436951,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FN6J0L","text":"USGS data release","linkHelpText":"Argon data for Southern Patagonian Andes"},{"id":376475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Chile","otherGeospatial":"Patagonian Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.3984375,\n -56.75272287205735\n ],\n [\n -65.21484375,\n -56.75272287205735\n ],\n [\n -65.21484375,\n -39.368279149160124\n ],\n [\n -78.3984375,\n -39.368279149160124\n ],\n [\n -78.3984375,\n -56.75272287205735\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"138","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"VanderLeest, Rebecca A.","contributorId":229447,"corporation":false,"usgs":false,"family":"VanderLeest","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":793199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosdick, Julie C","contributorId":229448,"corporation":false,"usgs":false,"family":"Fosdick","given":"Julie C","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":793200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leonard, Joel S","contributorId":229449,"corporation":false,"usgs":false,"family":"Leonard","given":"Joel","email":"","middleInitial":"S","affiliations":[{"id":41647,"text":"Arizona State University,","active":true,"usgs":false}],"preferred":false,"id":793201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}