Natal dispersal is a key demographic trait that affects population dynamics, and intraspecific variation in dispersal affects gene flow among populations and source-sink dynamics. However, relatively little is known about the selective pressures and trade-offs that animals face when departing their natal area due to the logistical difficulties associated with monitoring animals during this critical life stage. We used a randomized block design to examine the selective pressure that influence dispersal timing in juvenile burrowing owls (Athene cunicularia) by experimentally altering both food and ectoparasites at 135 nests. We also examined the effects of local food abundance, ectoparasite loads, and parental departure on natal dispersal timing. Juvenile burrowing owls varied widely in natal dispersal timing, and phenotypic plasticity in dispersal timing was evident in juvenile owls’ response to our experimental treatments, local conditions, and their parents’ departure from the natal area. Moreover, juveniles responded differently than their parents to experimental manipulation of food and ectoparasite loads. Juveniles typically dispersed shortly after their parents departed the natal area, but delayed dispersing more than 2 weeks after parental departure if they did not receive experimental food supplements during a low-food year. In contrast, the experimental food supplements did not affect the migratory departure decisions of adult owls in either year. Juveniles at nests treated for ectoparasites initiated dispersal at a younger age (and prior to adults in the high-food year) compared to juveniles at control nests. In contrast, parents at nests treated for ectoparasites departed later than parents at control nests. Our results suggest that unfavorable conditions (low food or high ectoparasite loads) caused juveniles to delay dispersal, but prompted adults to depart sooner. Our results highlight the extent of intraspecific variation in natal dispersal timing, and demonstrate that ecological conditions affect dispersal decisions of parents and offspring differently, which can create important trade-offs that likely affect life history strategies and responses to climatic changes.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0306660","usgsCitation":"Garcia, V., Conway, C.J., and Nadeau, C., 2024, Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls: PLoS ONE, v. 06, no. 7, e0306660, 18 p., https://doi.org/10.1371/journal.pone.0306660.","productDescription":"e0306660, 18 p.","ipdsId":"IP-124921","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0306660","text":"Publisher Index Page"},{"id":492127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Adams County, Grant 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Victoria","contributorId":357819,"corporation":false,"usgs":false,"family":"Garcia","given":"Victoria","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":357820,"corporation":false,"usgs":false,"family":"Nadeau","given":"Christopher P.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257184,"text":"70257184 - 2024 - Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","interactions":[],"lastModifiedDate":"2024-08-13T12:01:50.854485","indexId":"70257184","displayToPublicDate":"2024-07-26T06:55:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18329,"text":"ACS Omega","active":true,"publicationSubtype":{"id":10}},"title":"Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","docAbstract":"To further refine the use of solid bitumen reflectance (BRo in %) as a measurement of thermal maturity in source-rock reservoirs, we examined its relationship to other thermal proxies in the Bakken Formation. Comparisons included criteria from programmed temperature pyrolysis, gas chromatography (GC), and Fourier transform infrared (FTIR) spectroscopy. Thirty-two organic-rich samples from the lower and upper shale members of the Devonian–Lower Carboniferous Bakken Formation were collected from eight cores across the Williston Basin, USA, at depths (∼7575–11,330 ft) representing immature through post peak oil/early condensate thermal maturity conditions based on proximity to current hydrocarbon production. Unmodified BRo values were correlated to programmed temperature pyrolysis parameters (hydrogen index, production index, and Tmax), normal hydrocarbon and isoprenoid analysis of extractable organic matter (pristane/n-C17 and phytane/n-C18) from GC analysis, and peak ratios from FTIR spectroscopy (branching ratio and A-factor). Strong correlations between unmodified BRo values (not corrected to a vitrinite reflectance equivalent, VRe) and other thermal proxies suggest that BRo can be used as a direct thermal proxy in marine Paleozoic source-rock reservoirs where vitrinite is rare or absent. Moreover, an apparent overestimation of VRe at the lowest thermal maturity investigated herein may argue against the application of BRo conversion to VRe in the Bakken Formation. Solvent extraction caused a consistent decrease in BRo when average post-extraction values from a given well were compared to BRo prior to extraction, although the decrease in mean value was not statistically significant. These results are discussed in the context of advocating for the use of unmodified BRo values as a best practice for thermal maturity determination in Paleozoic marine source-rock reservoirs.
Population genomics can reveal cryptic biological diversity that may impact fitness while simultaneously serving to delineate relevant conservation units. Here, we leverage the power of whole-genome resequencing for conservation by studying 433 individual lesser prairie-chicken (Tympanuchus pallidicinctus; LEPC, a federally endangered species of conservation concern in the United States) and greater prairie-chicken (Tympanuchus cupido; GRPC, a legally huntable species throughout much of its range). The genomic diversity of two formally recognized distinct population segments (DPSs) of LEPCs is similar, but they are genetically distinct. Neither DPS is depleted of its genomic diversity, neither is especially inbred, and temporal diversity is relatively stable in both conservation units. Interspecific differentiation between the two species was only slightly higher than that observed between LEPC DPSs, due largely to bidirectional introgression. The high resolution provided by our dataset identified a genomic continuum between the two species such that individuals sampled from the hybrid zone were imperfectly assigned to their presumptive species when considering only their physical characteristics. The admixture between the two species is reflected in the spectrum of individual ancestry coefficients, which has legal implications for the “take” of individuals under the Endangered Species Act. Overall, our data highlight the recurring dissonance between static policies and dynamic species boundaries that are increasingly obvious in the population genomic era.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1093/pnasnexus/pgae298","usgsCitation":"Black, A.N., Mularo, A.J., Jeon, J.Y., Haukos, D.A., Bondo, K.J., Fricke, K., Gregory, A., Grisham, B., Lowe, Z.E., and DeWoody, J.A., 2024, Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act: PNAS Nexus, v. 3, no. 8, pgae298, 9 p., https://doi.org/10.1093/pnasnexus/pgae298.","productDescription":"pgae298, 9 p.","ipdsId":"IP-157565","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgae298","text":"Publisher Index Page"},{"id":433070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Couth Dakota, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.40084316266383,\n 33.70795884444438\n ],\n [\n -105.31992301296135,\n 30.818291062734204\n ],\n [\n -103.38777768631532,\n 29.724848440149472\n ],\n [\n -98.99639598871063,\n 33.79022627808453\n ],\n [\n -95.82383003901437,\n 37.069825104547206\n ],\n [\n -97.49448155164828,\n 44.317872402253386\n ],\n [\n -100.3845402631398,\n 45.075567221472596\n ],\n [\n -103.07342787678073,\n 44.42605963054629\n ],\n [\n -103.5139958969535,\n 40.79786135766341\n ],\n [\n -105.40084316266383,\n 33.70795884444438\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Andrew N.","contributorId":341177,"corporation":false,"usgs":false,"family":"Black","given":"Andrew","email":"","middleInitial":"N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mularo, Andrew J.","contributorId":341178,"corporation":false,"usgs":false,"family":"Mularo","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeon, Jong Yoon","contributorId":341179,"corporation":false,"usgs":false,"family":"Jeon","given":"Jong","email":"","middleInitial":"Yoon","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bondo, Kristin J.","contributorId":341180,"corporation":false,"usgs":false,"family":"Bondo","given":"Kristin","email":"","middleInitial":"J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fricke, Kent A.","contributorId":341181,"corporation":false,"usgs":false,"family":"Fricke","given":"Kent A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":908051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregory, Andy","contributorId":341182,"corporation":false,"usgs":false,"family":"Gregory","given":"Andy","email":"","affiliations":[{"id":81711,"text":"niversity of North Texas","active":true,"usgs":false}],"preferred":false,"id":908052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grisham, Blake","contributorId":341183,"corporation":false,"usgs":false,"family":"Grisham","given":"Blake","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowe, Zachary E.","contributorId":341184,"corporation":false,"usgs":false,"family":"Lowe","given":"Zachary","email":"","middleInitial":"E.","affiliations":[{"id":36225,"text":"Western Association of Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":908054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeWoody, J. Andrew","contributorId":341185,"corporation":false,"usgs":false,"family":"DeWoody","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908055,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70256158,"text":"70256158 - 2024 - Aftershock forecasting","interactions":[],"lastModifiedDate":"2024-07-25T16:04:14.684778","indexId":"70256158","displayToPublicDate":"2024-07-25T10:51:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock forecasting","docAbstract":"Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts and potentially further damaging weakened buildings and infrastructure. Forecasts of the probability of aftershocks can therefore aid decision-making during earthquake response and recovery. Several countries issue authoritative aftershock forecasts. Most aftershock forecasts are based on simple statistical models that were first developed in the 1980s and remain the best available models. We review these statistical models, and the wide-ranging research to advance aftershock forecasting through better statistical, physical, and machine learning methods. Physics-based forecasts based on mainshock stress changes can sometimes match the statistical models in testing, but don’t yet outperform them. Physical models are also hampered by unsolved problems such as the mechanics of dynamic triggering and the influence of background conditions. Initial work on machine learning forecasts shows promise, and new machine learning earthquake catalogs provide an opportunity to advance all types of aftershock forecasts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-040522-102129","usgsCitation":"Hardebeck, J.L., Llenos, A.L., Michael, A.J., Page, M.T., Schneider, M., and van der Elst, N., 2024, Aftershock forecasting: Annual Review of Earth and Planetary Sciences, v. 52, p. 61-84, https://doi.org/10.1146/annurev-earth-040522-102129.","productDescription":"24 p.","startPage":"61","endPage":"84","ipdsId":"IP-153834","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":489836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-040522-102129","text":"Publisher Index Page"},{"id":431446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259229,"text":"70259229 - 2024 - Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020","interactions":[],"lastModifiedDate":"2024-10-03T16:04:03.176966","indexId":"70259229","displayToPublicDate":"2024-07-25T09:16:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18722,"text":"Agrosystems, Geosciences & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020","docAbstract":"California produces many key agricultural products in the United States. Current geospatial agricultural datasets are limited in mapping accuracy, spatial context, or observation period. This study uses machine learning and high-resolution imagery to produce a time series of crop maps to assess crop type trends and patterns across central California from 2005 to 2020. National Agriculture Imagery Program and Landsat imagery were used to classify nine crop types that are common in the study region: grain crops, field crops, rice, citrus and subtropical, deciduous fruit and nut, vineyard, berry and vegetable, pasture, and fallow/young perennial crop types. To create labeled data, we sampled 1253 fields and manually identified crop types for each examined year using high-resolution imagery and Landsat normalized difference vegetation index time series. We applied a random forest machine learning algorithm in Google Earth Engine. Results show that the mean overall classification accuracy of the nine-class map was 93.1%, with individual accuracies ranging from 99.3% (rice) to 89.5% (fallow/young perennial). Mann–Kendall trend tests showed significant (p less than 0.05) declines in field crop and pasture area during the study period, while deciduous fruit and nut, citrus and subtropical, and fallow/young perennial crop types experienced significant increases. At an aggregate level, there was a general shift from annual crop types to perennial crop types. These data provide a 16-year time span of spatially explicit crop type classifications, trends, and patterns in central California that can be used to aid managers and decision makers for resource planning or hazard mitigation.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/agg2.20553","usgsCitation":"Smith, B.W., Soulard, C.E., and Walker, J., 2024, Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020: Agrosystems, Geosciences & Environment, v. 7, no. 3, e20553, 16 p., https://doi.org/10.1002/agg2.20553.","productDescription":"e20553, 16 p.","ipdsId":"IP-157770","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":466976,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/agg2.20553","text":"Publisher Index Page"},{"id":462483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.39755424898114,\n 34.420043865180986\n ],\n [\n -118.3779343983518,\n 35.235828590126644\n ],\n [\n -118.14248794924036,\n 35.84498396138433\n ],\n [\n -121.41402389397426,\n 40.45021878284146\n ],\n [\n -124.11418123355082,\n 39.15848742125334\n ],\n [\n -120.39755424898114,\n 34.420043865180986\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256231,"text":"70256231 - 2024 - Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","interactions":[],"lastModifiedDate":"2024-07-29T14:33:59.226821","indexId":"70256231","displayToPublicDate":"2024-07-25T09:06:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","docAbstract":"Rhyolitic tuffs range widely in their crystal contents from nearly aphyric to crystal-rich, and their crystal cargoes inform concepts of upper crustal magma reservoirs. The Earthquake Flat pyroclastics (Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand) are 10 km3 of rhyolitic tuffs with abundant (~ 40 vol.%) plagioclase and quartz, minor biotite, hornblende, and orthopyroxene, and accessory Fe-Ti oxides, apatite, and zircon, set in high-silica rhyolitic glass. Major minerals form large, euhedral phenocrysts and abundant glomerocrysts with few disequilibrium textures excepting some faintly resorbed quartz. Plagioclase phenocrysts have thick rims of nearly constant composition near An30, and hornblende is weakly zoned or unzoned. The abundant and texturally complex mineral assemblage contrasts with the nearby (~ 25 km), nearly synchronous, but more voluminous and crystal-moderate rhyolite tuffs from Rotoiti caldera. New H2O-saturated phase-equilibria results on the erupted Earthquake Flat melt (glass) determine its co-saturation with the partial phenocryst assemblage of plagioclase, quartz, biotite, and Fe-Ti oxides at: 140 MPa, 755 ºC. These closely approximate the conditions of the pre-eruptive magma body assuming it was saturated with nearly pure H2O and at an fO2 of ~ Ni–NiO. Absence of hornblende and orthopyroxene from the synthesized assemblages may result from those minerals being in a peritectic reaction relation with melt to produce biotite, so they would not grow from the liquid used as starting material. Experimental results on Rotoiti rhyolite (Nicholls et al. 1992) show that the two bodies resided at similar pressures, temperatures, and fO2s. Lower crystal abundance of the Rotoiti tuffs may result from slight compositional differences. We interpret that the Earthquake Flat pyroclastics were sourced from the crystal-rich periphery of a mushy reservoir system with the Rotoiti occupying a more melt-rich central location. Uncertain is whether this was a single intrusion zoned continuously in crystallinity, or discrete adjacent intrusions, but our results illustrate and quantify complexities of magma storage across relatively short distances.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-024-02151-y","usgsCitation":"Grant, E.R., Blatter, D.L., Sisson, T.W., and Cooper, K.M., 2024, Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments: Contributions to Mineralogy and Petrology, v. 179, 81, 29 p., https://doi.org/10.1007/s00410-024-02151-y.","productDescription":"81, 29 p.","ipdsId":"IP-158188","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439253,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s00410-024-02151-y","text":"Publisher Index Page"},{"id":434922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IM4QQ","text":"USGS data release","linkHelpText":"Dataset establishing shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: evidence from phase-equilibria experiments"},{"id":431561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"North Island, Taupo Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 176.095561609664,\n -37.65496855984471\n ],\n [\n 176.095561609664,\n -38.389051762476605\n ],\n [\n 176.7278928943726,\n -38.389051762476605\n ],\n [\n 176.7278928943726,\n -37.65496855984471\n ],\n [\n 176.095561609664,\n -37.65496855984471\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"179","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Elizabeth R. G. 0000-0002-9006-1151","orcid":"https://orcid.org/0000-0002-9006-1151","contributorId":340454,"corporation":false,"usgs":false,"family":"Grant","given":"Elizabeth","email":"","middleInitial":"R. G.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":907170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Kari M 0000-0003-0636-6292","orcid":"https://orcid.org/0000-0003-0636-6292","contributorId":294378,"corporation":false,"usgs":false,"family":"Cooper","given":"Kari","email":"","middleInitial":"M","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":907173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256998,"text":"70256998 - 2024 - Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","interactions":[],"lastModifiedDate":"2024-10-07T16:12:59.020563","indexId":"70256998","displayToPublicDate":"2024-07-25T08:41:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","docAbstract":"Western Alaska’s convergent margins are composed of tectonostratigraphic terranes. On land, terrane assembly is recognized along boundaries or sutures between neighboring geologic elements with distinctly different origins. In marine areas where rock outcrops are covered by sediment, recognizing terrane sutures is problematic. A fault in seismic dip line 5 of the ALEUT project has been interpreted as a terrane suture. It is imaged intermittently down to the 30+-km-deep plate interface. Processing of ALEUT strike line 7 revealed the suture at ~18 km depths extending 300 km along the margin. Upper structures in line 5 are like the structures of adjacent seismic transects where imaging is only 8−10 km deep. They were previously not recognized as the upper reaches of terrane sutures and show structural details obscured at greater depths. The composite data are the basis for a simple tectonic model of terrane docking.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02757.1","usgsCitation":"von Huene, R.E., and Miller, J.J., 2024, Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA: Geosphere, v. 20, no. 5, p. 1276-1285, https://doi.org/10.1130/GES02757.1.","productDescription":"10 p.","startPage":"1276","endPage":"1285","ipdsId":"IP-153757","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02757.1","text":"Publisher Index Page"},{"id":432273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southwest Alaska Trench","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -164,\n 56\n ],\n [\n -164,\n 52.75\n ],\n [\n -156,\n 52.75\n ],\n [\n -156,\n 56\n ],\n [\n -164,\n 56\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":909108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":909109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259522,"text":"70259522 - 2024 - Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians","interactions":[],"lastModifiedDate":"2024-10-10T13:37:11.222234","indexId":"70259522","displayToPublicDate":"2024-07-25T08:28:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians","docAbstract":"Spring viremia of carp virus (SVCV) is a rhabdovirus that primarily infects cyprinid finfishes and causes a disease notifiable to the World Organization for Animal Health. Amphibians, which are sympatric with cyprinids in freshwater ecosystems, are considered non-permissive hosts of rhabdoviruses. The potential host range expansion of SVCV in an atypical host species was evaluated by testing the susceptibility of amphibians native to the Pacific Northwest. Larval long-toed salamanders Ambystoma macrodactylum and Pacific tree frog Pseudacris regilla tadpoles were exposed to SVCV strains from genotypes Ia, Ib, Ic, or Id by either intraperitoneal injection, immersion, or cohabitation with virus-infected koi Cyprinus rubrofuscus. Cumulative mortality was 100% for salamanders injected with SVCV, 98–100% for tadpoles exposed to virus via immersion, and 0–100% for tadpoles cohabited with SVCV-infected koi. Many of the animals that died exhibited clinical signs of disease and SVCV RNA was found by in situ hybridization in tissue sections of immersion-exposed tadpoles, particularly in the cells of the gastrointestinal tract and liver. SVCV was also detected by plaque assay and RT-qPCR testing in both amphibian species regardless of the virus exposure method, and viable virus was detected up to 28 days after initial exposure. Recovery of infectious virus from naïve tadpoles cohabited with SVCV-infected koi further demonstrated that SVCV transmission can occur between classes of ectothermic vertebrates. Collectively, these results indicated that SVCV, a fish rhabdovirus, can be transmitted to and cause lethal disease in two amphibian species. Therefore, members of all five of the major vertebrate groups (mammals, birds, reptiles, fish, and amphibians) appear to be vulnerable to rhabdovirus infections. Future research studying potential spillover and spillback infections of aquatic rhabdoviruses between foreign and domestic amphibian and fish species will provide insights into the stressors driving novel interclass virus transmission events.
","language":"English","publisher":"MDPI","doi":"10.3390/v16081193","usgsCitation":"Emmenegger, E.J., Bueren, E.K., Conway, C.M., Sanders, G.E., Hendrix, A.N., Schroeder, T., Di Cicco, E., Pham, P.H., S., L.J., and Clouthier, S.C., 2024, Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians: Viruses, v. 16, no. 8, 1193, 33 p., https://doi.org/10.3390/v16081193.","productDescription":"1193, 33 p.","ipdsId":"IP-167008","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":466977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v16081193","text":"Publisher Index Page"},{"id":462786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":915592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bueren, Emma K. 0000-0002-5738-3917","orcid":"https://orcid.org/0000-0002-5738-3917","contributorId":289657,"corporation":false,"usgs":false,"family":"Bueren","given":"Emma","email":"","middleInitial":"K.","affiliations":[{"id":62212,"text":"Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061","active":true,"usgs":false}],"preferred":false,"id":915593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":915594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, George E.","contributorId":147207,"corporation":false,"usgs":false,"family":"Sanders","given":"George","email":"","middleInitial":"E.","affiliations":[{"id":16803,"text":"University of Washington, School of Medicine, Dept. of Comparative Medicine, T-160 Health Sciences Center, Seattle, WA 98195","active":true,"usgs":false}],"preferred":false,"id":915595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hendrix, A. 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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
MS 511
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"The Deepwater Horizon mobile drilling platform exploded on April 20, 2010. The resulting massive oil spill injured natural resources in the Gulf of Mexico, including wintering common loons (Gavia immer). We report on activities completed under the “Restoration of Common Loons in Minnesota” project in calendar year 2023, which was funded by the Open Ocean Trustee Implementation Group. In 2022, a subset of monitored breeding territories was identified as focal territories, which are sampling units for the study. The U.S. Geological Survey, in cooperation with the Minnesota Department of Natural Resources, monitored 98 common loon focal territories and an additional 43 nonfocal territories in 2023 across 56 study lakes in Minnesota. We collaborated with lake associations and private citizens to deploy 42 artificial nesting platforms within 44 focal treatment territories. The remaining 54 focal territories were controls. Territorial surveys were completed from May 8 to August 11, 2023, to evaluate occupancy, nest success, and chick survival. At least one nest attempt was observed in 31 of 44 treatment territories and a second nest attempt was observed after a failed initial attempt in 6 treatment territories. However, only one nest was on an artificial nesting platform in a treatment territory; the remaining nest locations were natural. At least one nest attempt was observed in 37 of 54 control territories, and a second nest attempt was observed after a failed initial attempt in 5 control territories. Chicks or other evidence of hatching were observed in 17 of 54 control territories and 17 of 44 treatment territories, with 1 of those successful treatment nests occurring on an artificial nesting platform. This report includes no formal analysis, but we plan to analyze data after collection of all field data in subsequent years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241044","collaboration":"Prepared in cooperation with the Minnesota Department of Natural Resources and Minnesota Pollution Control Agency","usgsCitation":"Beatty, W.S., Amoth, K., Bergstrom, K., Fara, L.J., Gray, B.R., Houdek, S.C., Jech, J., Kenow, K.P., Rabasco, R., Rettler, S., Wellik, M., and Yang, S., 2024, Restoration of common loon (Gavia immer) in Minnesota—2023 annual report: U.S. Geological Survey Open-File Report 2024–1044, 6 p., https://doi.org/10.3133/ofr20241044.","productDescription":"Report: vi, 6 p.; 2 Data Releases","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162805","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":431372,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13YB3AF","text":"USGS data release","linkHelpText":"Summary of detection data for breeding common loons in north-central Minnesota (2023)"},{"id":431366,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1044/coverthb.jpg"},{"id":431367,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1044/ofr20241044.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1044"},{"id":431368,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1044/ofr20241044.XML"},{"id":431369,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1044/images/"},{"id":431370,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241044/full"},{"id":431371,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LA536E","text":"USGS data release","linkHelpText":"Summary of detection data for breeding common loons in north-central Minnesota (2021–2022)"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.57221262524712,\n 48.473840582024934\n ],\n [\n -96.57221262524712,\n 46.234012124497895\n ],\n [\n -93.01264231274689,\n 46.234012124497895\n ],\n [\n -93.01264231274689,\n 48.473840582024934\n ],\n [\n -96.57221262524712,\n 48.473840582024934\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 5.1 billion barrels of oil and 79.1 trillion cubic feet of gas in offshore East Africa and the Seychelles.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243010","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Cicero, A.D., Drake, R.M., II, Ellis, G.S., Finn, T.M., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., Marra, K.R., Timm, K.K., Young, S.S., 2024, Assessment of undiscovered conventional oil and gas resources of offshore East Africa and the Seychelles, 2022: U.S. Geological Survey Fact Sheet 2024–3010, 4 p., https://doi.org/10.3133/fs20243010.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-145814","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":431303,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97AP0CO","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—East Africa and Seychelles Provinces: Assessment Unit Boundaries, Assessment Input data, and Fact Sheet Data Tables"},{"id":431301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3010/coverthb.jpg"},{"id":431302,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3010/fs20243010.pdf","text":"Report","size":"720 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3010"},{"id":431373,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3010/images"},{"id":431374,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3010/fs20243010.xml"},{"id":431375,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3010"}],"otherGeospatial":"East Africa, the Seychelles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 32.626820349755945,\n -26.130240169293238\n ],\n [\n 62.94908597475583,\n -26.130240169293238\n ],\n [\n 62.94908597475583,\n 2.7077249383509496\n ],\n [\n 32.626820349755945,\n 2.7077249383509496\n ],\n [\n 32.626820349755945,\n -26.130240169293238\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Global expansion in wind energy development is a notable achievement of the international community’s effort to reduce carbon emissions during energy production. However, the increasing number of wind turbines have unintended consequences for migratory birds and bats. Wind turbine curtailment and other mitigation strategies can reduce fatalities, but improved spatial and temporal data are needed to identify the most effective way for wind energy development and volant migratory species to coexist. Mexican free-tailed bats (Tadarida brasiliensis mexicana) account for a large proportion of known bat fatalities at wind facilities in the southwestern US. We examined the geographic concordance between existing wind energy generation facilities, areas of high wind potential amenable for future deployment of wind facilities, and seasonally suitable habitat for these bats. We used ecological niche modeling to determine species distribution during each of 4 seasons. We used a multi-criteria GIS-based approach to produce a wind turbine siting suitability map. We identified seasonal locations with highest and lowest potential for the species’ probability of occurrence, providing a potential explanation for the higher observed fatalities during fall migration. Thirty percent of 33,606 wind turbines within the southwestern US occurred in highly suitable areas for Mexican free-tailed bats, primarily in west Texas. There is also broad spatial overlap between areas of high wind potential and areas of suitable habitat for Mexican free-tailed bats. Because of this high degree of overlap, our results indicate that post-construction strategies, such as curtailing the timing of operations and deterrents, would be more effective for bat conservation than strategic siting of new wind energy installations.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-66490-3","usgsCitation":"Huang, T., Feng, X., Derbridge, J.J., Libby, K., Diffendorfer, J., Thogmartin, W.E., McCracken, G., Medellin, R., and Lopez-Hoffman, L., 2024, Potential for spatial coexistence of a transboundary migratory species and wind energy development: Scientific Reports, v. 14, 17050, 11 p., https://doi.org/10.1038/s41598-024-66490-3.","productDescription":"17050, 11 p.","ipdsId":"IP-117864","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-66490-3","text":"Publisher Index Page"},{"id":465068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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seafloor from archived unmanned submersible exploration dives","interactions":[],"lastModifiedDate":"2024-08-06T13:30:05.401425","indexId":"70256983","displayToPublicDate":"2024-07-24T08:23:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives","docAbstract":"Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (>1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. Here, we provide a workflow for utilizing modern photogrammetry to construct virtual geological outcrops hundreds or thousands of meters in length from these archived video images. The photogrammetry further allows quantitative measurements of these outcrops, which were previously unavailable. Although photogrammetry had been carried out in recent years in the deep sea, it had been limited to small areas with pre-defined overlapping dive paths. Here, we propose a workflow for constructing virtual outcrops from archived exploration dives, which addresses the complicating factors posed by single non-linear and variable-speed vehicle paths. These factors include poor navigation, variable lighting, differential color attenuation due to variable distance from the seafloor, and variable camera orientation with respect to the vehicle. In particular, the lack of accurate navigation necessitates reliance on image quality and the establishment of pseudo-ground-control points to build the photogrammetry model. Our workflow offers an inexpensive method for analyzing deep-sea geological environments from existing video images, particularly when coupled with rock samples.
","language":"English","publisher":"MDPI","doi":"10.3390/jmse12081250","usgsCitation":"Flores, C., and ten Brink, U.S., 2024, Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives: Journal of Marine Science and Engineering, v. 12, no. 8, 1250, 19 p., https://doi.org/10.3390/jmse12081250.","productDescription":"1250, 19 p.","ipdsId":"IP-159627","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse12081250","text":"Publisher Index Page"},{"id":432271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.1,\n 19.2\n ],\n [\n -68.1,\n 18.3\n ],\n [\n -66.8,\n 18.3\n ],\n [\n -66.8,\n 19.2\n ],\n [\n -68.1,\n 19.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Flores, Claudia 0000-0003-0676-7061 cflores@usgs.gov","orcid":"https://orcid.org/0000-0003-0676-7061","contributorId":304396,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264796,"text":"70264796 - 2024 - Gape-limited invasive predator frequently kills avian prey that are too large to swallow","interactions":[],"lastModifiedDate":"2025-03-24T15:08:54.248637","indexId":"70264796","displayToPublicDate":"2024-07-24T08:02:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Gape-limited invasive predator frequently kills avian prey that are too large to swallow","docAbstract":"Gape-limited predators (e.g., snakes, many fish) are not generally expected to pose a predation threat to prey that are too large for them to swallow. However, the extent to which snakes predate on prey that exceed their gape limitation remains largely unknown. We conducted the first study to investigate the influence of both prey and predator sizes on the frequency of ingestion success by snakes in a natural system. We combined survival monitoring of an avian prey species (Aplonis opaca) via radio-telemetry with a survey of the size distribution of their major predator (Boiga irregularis) on Guam. This allowed us to assess (1) the frequency of unsuccessful ingestion by the predator, (2) whether the size of the prey predicts ingestion success, (3) whether the size of the predator predicts ingestion success, and (4) the relationship between prey and predator sizes in successful ingestion attempts. We found that nearly half (47.95%) of ingestion attempts by snakes on fledgling birds were unsuccessful, and no instances where unsuccessful ingestion caused the mortality of the snake. Attempts to consume smaller fledglings were as likely to be unsuccessful as attempts to swallow larger fledglings. However, snakes that successfully ingested fledglings were among the largest snakes in the population, and larger than average conspecifics attracted to endothermic prey. The smallest snakes that successfully ingested fledglings attained remarkably high relative prey mass values for their species, consuming prey weighing up to 79.9% of their own mass. Our study indicates that B. irregularis routinely predate prey that are too large for them to successfully ingest, which causes mortality to the prey but poses little risk to the predator. The potential reward for snakes in consuming oversized prey may outweigh the inherent risks, while instances of predation that do not result in consumption may have considerable impacts on prey populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11598","usgsCitation":"Kastner, M., Goetz, S.M., Baker, K.M., Siers, S.R., Paxton, E.H., Nafus, M., and Rogers, H., 2024, Gape-limited invasive predator frequently kills avian prey that are too large to swallow: Ecology and Evolution, v. 14, no. 7, e11598, 11 p., https://doi.org/10.1002/ece3.11598.","productDescription":"e11598, 11 p.","ipdsId":"IP-159071","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11598","text":"Publisher Index Page"},{"id":483715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.52940654060023,\n 13.730269126756554\n ],\n [\n 144.52940654060023,\n 13.229219717321797\n ],\n [\n 145.03819941430874,\n 13.229219717321797\n ],\n [\n 145.03819941430874,\n 13.730269126756554\n ],\n [\n 144.52940654060023,\n 13.730269126756554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kastner, Martin","contributorId":293508,"corporation":false,"usgs":false,"family":"Kastner","given":"Martin","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":931729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Kayla M","contributorId":279515,"corporation":false,"usgs":false,"family":"Baker","given":"Kayla","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":931731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":931732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":931733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Haldre","contributorId":279510,"corporation":false,"usgs":false,"family":"Rogers","given":"Haldre","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":931735,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259685,"text":"70259685 - 2024 - Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+","interactions":[],"lastModifiedDate":"2024-10-21T12:26:18.509509","indexId":"70259685","displayToPublicDate":"2024-07-24T07:22:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2738,"text":"Microscopy and Microanalysis","active":true,"publicationSubtype":{"id":10}},"title":"Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+","docAbstract":"Options for selecting a high Na concentration mineral for instrument calibration that are suitably stable under the electron beam are limited [1]. NaCl (approximately a mass fraction of 39 % Na) is not practical for use alongside other embedded and polished materials in a mounted block of standards. While albite (NaAlSi3O8; approximately a mass fraction of 8 % Na) represents a typical choice for some microanalysts, it may be subject to time dependent signal intensity issues, such as those observed for Na and other cations during analysis of hydrous glasses [2]. Near endmember jadeite pyroxene (NaAlSi2O6; approximately mass fraction of 11 % Na) represents a desirable option for calibration given its relatively large concentration of Na and insensitivity to electron beam radiation with respect to X-ray output. Despite these desirable characteristics, jadeites have been shown to contain complex microstructures as the result of intracrystalline zoning [3, 4], and the impact of chemical inhomogeneity within mineral standards and natural glasses has been documented [5-7]. In this study, a commercially obtained jadeite crystal (source location “China”) was studied to assess its microscale uniformity using a suite of microbeam methods, including dispersive red-green-blue multispectral cathodoluminescence imaging (CLRGB), hyperspectral CL imaging spectrometry, energy dispersive X-ray spectrometry (EDS), SEM-based micro-X-ray fluorescence (μXRF), and wavelength dispersive X-ray spectrometry (WDS).
","language":"English","publisher":"Oxford University Press","doi":"10.1093/mam/ozae044.012","usgsCitation":"Lameris, T., Lowers, H.A., Wight, S.A., and Vicenzi, E.P., 2024, Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+: Microscopy and Microanalysis, v. 30, p. 25-28, https://doi.org/10.1093/mam/ozae044.012.","productDescription":"ozae044.012, 4 p.","startPage":"25","endPage":"28","ipdsId":"IP-162139","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1093/mam/ozae044.012","text":"Publisher Index Page"},{"id":463062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lameris, Thomas","contributorId":270786,"corporation":false,"usgs":false,"family":"Lameris","given":"Thomas","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":916236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wight, Scott A.","contributorId":345300,"corporation":false,"usgs":false,"family":"Wight","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":47720,"text":"NIST","active":true,"usgs":false}],"preferred":false,"id":916238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vicenzi, Edward P.","contributorId":345301,"corporation":false,"usgs":false,"family":"Vicenzi","given":"Edward","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":916239,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259724,"text":"70259724 - 2024 - Correlating quantified cathodoluminescence spectra in jadeite with micro-scale color measurements in visible-near infrared reflectance spectrometry","interactions":[],"lastModifiedDate":"2024-10-21T12:17:42.212175","indexId":"70259724","displayToPublicDate":"2024-07-24T07:16:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2738,"text":"Microscopy and Microanalysis","active":true,"publicationSubtype":{"id":10}},"title":"Correlating quantified cathodoluminescence spectra in jadeite with micro-scale color measurements in visible-near infrared reflectance spectrometry","docAbstract":"Cultures throughout history have valued jadeite jade (hereinafter jade), a natural material assemblage composed predominately of the NaAl endmember pyroxene, jadeite (NaAlSi2O6) that is prized for its mechanical properties and enticing coloration [1, 2]. The geological setting for the formation of jadeite-rich rocks and associated complex geochemical phenomena is well documented in the literature [3-5]. Unlike single crystal gems, jade often contains a mixture of colors, but the stone is perhaps best known for exhibiting a range of green hues from pale green to blue green, and to deep green [1, 6]. Efforts to classify jade color include qualitative matching to a set of reference color tiles, and less commonly, use of a more quantitative set of color perception values first established by International Commission on Illumination’s (CIE 1931) color space, which includes values for light-dark luminance level (L*), a green-red vector (a*), and a blue-yellow vector (b*) [7, 8]. Two principal mechanisms have been identified as the cause of green coloration in jadeite: 1) the chemical state of impurity Fe, either 2+ or 3+, and 2) minor to trace Cr in the crystal structure [9, 10]. Previous studies have associated Cr3+ with cathodoluminescence (CL) spectral features in jadeite using point spectrometry, with more recent connections made via 2D CL spectrum imaging [11-13]. In this effort, we are seeking to establish whether Cr impurities are correlated with green coloration in jadeite using micro-scale (≤110 μm) visible-near infrared (VIS-NIR) reflectance spectrometry.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/mam/ozae044.009","usgsCitation":"Vicenzi, E.P., Lameris, T., Lowers, H.A., and MacRae, C., 2024, Correlating quantified cathodoluminescence spectra in jadeite with micro-scale color measurements in visible-near infrared reflectance spectrometry: Microscopy and Microanalysis, v. 30, https://doi.org/10.1093/mam/ozae044.009.","productDescription":"ozae044.009, 4 p.","startPage":"21","ipdsId":"IP-162140","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":463061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","edition":"18","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Vicenzi, Edward P.","contributorId":345301,"corporation":false,"usgs":false,"family":"Vicenzi","given":"Edward","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":916460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lameris, Thomas","contributorId":270786,"corporation":false,"usgs":false,"family":"Lameris","given":"Thomas","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":916461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacRae, Colin","contributorId":295342,"corporation":false,"usgs":false,"family":"MacRae","given":"Colin","email":"","affiliations":[{"id":63849,"text":"CSIRO Minerals","active":true,"usgs":false}],"preferred":false,"id":916463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259682,"text":"70259682 - 2024 - Compositional and structural mapping of Northwest Africa 15507 angrite","interactions":[],"lastModifiedDate":"2024-10-21T12:15:43.068912","indexId":"70259682","displayToPublicDate":"2024-07-24T07:13:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2738,"text":"Microscopy and Microanalysis","active":true,"publicationSubtype":{"id":10}},"title":"Compositional and structural mapping of Northwest Africa 15507 angrite","docAbstract":"Angrite meteorites represent interesting sampling of planetary crustal environments. Quench-textured angrites with strong crystal zoning originated from the shallow surface region, with evidence of reducing conditions during solidification. Plutonic angrites have more coarse-grained igneous and metamorphic textures with comparatively less zoning and are interpreted as having equilibrated at greater depth. Plutonic angrites contain the minerals magnetite Fe3O4 comprised of Fe2+ and Fe3+, and rhönite, where Fe3+ is required by inspection of mineral stoichiometry. NWA 15507 is a plutonic angrite with a microgabbroic texture (mean grainsize ∼1.4 mm) composed of zoned Al-Ti-augite, Ca-bearing olivine, anorthite, with accessory kirschsteinite, rhönite, hercynite, low-Ni kamacite, merrillite, Ti-free magnetite and troilite [1]. Rhönite analyzed by electron-probe microanalysis (EPMA) has the formula Ca2.04(Mg0.32Fe2+4.25Fe3+0.47Ti0.33Al0.61)(Si3.74Al2.26)O20, where Fe3+ was estimated by stoichiometric analysis. During preliminary cathodoluminescence (CL) analysis, complex subgrain and oscillatory zoning was observed in the anorthite. In this study we use a combined approach of electron probe microanalysis (EPMA), cathodoluminescence (CL), electron-backscatter diffraction (EBSD), and laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) to further investigate the anorthite and distribution of Fe3+ in NWA 15507.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/mam/ozae044.008","usgsCitation":"Lowers, H.A., Carpenter, P., Thompson, J.M., and Irving, A., 2024, Compositional and structural mapping of Northwest Africa 15507 angrite: Microscopy and Microanalysis, v. 30, p. 15-17, https://doi.org/10.1093/mam/ozae044.008.","productDescription":"ozae044.008, 3 p.","startPage":"15","endPage":"17","ipdsId":"IP-162946","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":498021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mam/ozae044.008","text":"Publisher Index Page"},{"id":463060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Paul C.","contributorId":345297,"corporation":false,"usgs":false,"family":"Carpenter","given":"Paul C.","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":916233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":916234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irving, Anthony","contributorId":332496,"corporation":false,"usgs":false,"family":"Irving","given":"Anthony","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256190,"text":"70256190 - 2024 - Mercury concentrations in Seaside Sparrows and Marsh Rice Rats differ across the Mississippi River Estuary","interactions":[],"lastModifiedDate":"2024-09-23T16:12:38.890928","indexId":"70256190","displayToPublicDate":"2024-07-24T06:36:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury concentrations in Seaside Sparrows and Marsh Rice Rats differ across the Mississippi River Estuary","docAbstract":"Mercury (Hg) concentrations and their associated toxicological effects in terrestrial ecosystems of the Gulf of Mexico are largely unknown. Compounding this uncertainty, a large input of organic matter from the 2010 Deepwater Horizon oil spill may have altered Hg cycling and bioaccumulation dynamics. To test this idea, we quantified blood concentrations of total mercury (THg) in Seaside Sparrows (Ammospiza maritima) and Marsh Rice Rats (Oryzomys palustris) in marshes west and east of the Mississippi River in 2015 and 2016. We also tested for a difference in THg concentrations between oiled and non-oiled sites. To address the potential confounding effect of diet variation on Hg transfer, we used stable nitrogen (δ15N) and carbon (δ13C) isotope values as proxies of trophic position and the source of primary production, respectively. Our results revealed that five to six years after the spill, THg concentrations were not higher in sites oiled by the spill compared to non-oiled sites. In both species, THg was higher at sites east of the Mississippi River compared to control and oiled sites, located west. In Seaside Sparrows but not in Marsh Rice Rats, THg increased with δ15N values, suggesting Hg trophic biomagnification. Overall, even in sites with the most elevated THg, concentrations were generally low. In Seaside Sparrows, THg concentrations were also lower than previously reported in this and other closely related passerines, with only 7% of tested birds exceeding the lowest observed effect concentration associated with toxic effects across bird species (0.2 µg/g ww). The factors associated with geographic heterogeneity in Hg exposure remain uncertain. Clarification could inform risk assessment and future restoration and management actions in a region facing vast anthropogenic changes.
From April-May 2024, the NASA Mentors who span eleven Distributed Active Archive Centers (DAACs) co-led the third Champions Cohort with the NASA Openscapes project team, this year focusing on, teaching lessons they adapted for geospatial and cloud analysis. The Cohort included nine international research teams from academia and government that were curious about working with NASA Earthdata in the Cloud. Many teams were interested in using data from multiple DAACs. User cloud adaption takes time, given the new conceptual mindsets and technical skillsets it requires. During the ten weeks we worked together, NASA Mentors refined and extended previous lessons to focus on thinking through and planning the transition to using the Cloud for science research and applications, and initial experiments using the Cloud through our 2i2c JupyterHub. Below are these updates and YouTube clips!
There were also recurring themes/questions that we have heard before, some of which remain as open questions and continue to remain a challenge. Importantly, Amazon Web Services (AWS) Cloud onboarding, when to use what resources, how to set them up, and how to discuss needs with organizational leadership and IT staff, which often falls outside the scope of NASA DAACs, yet it’s a key element of helping users adopt the Cloud and use NASA data in the Cloud. It is encouraging to hear some of the champions starting to have conversations with their institutions, IT departments, and making their needs known, which is likely a big part of the solution, too. We are thankful to NASA Openscapes Champions for informing and nudging these conversations! All of this work is underpinned by Openscapes and NASA’s commitment to open science practices and a kinder collaborative culture. This cohort is funded by NASA and is part of our NASA Openscapes Framework project.
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The BLM administers, manages, and protects 19 of these trails as part of its system of national conservation lands. Various laws, regulations, and policies require that the BLM conduct and maintain an inventory to protect trail-related resources, qualities, values, associated settings, and primary use or uses. There are set procedures for conducting inventory, assessment, and monitoring (IAM) of NSHTs, as outlined in volumes 1 and 2 of BLM Technical Reference 6280-1. One of the first steps in the IAM process is deciding the area along a trail to inventory. However, volumes 1 and 2 of BLM Technical Reference 6280-1 do not specify how the land area to be inventoried should be delineated. The BLM calls these focus areas for IAM efforts “inventory analysis units” (IAUs), which are defined as the geospatial boundary for the location of an inventory along a trail. This report reviews the approach used to delineate the IAUs for an inventory effort and identifies best practices for creating initial IAUs, termed “draft IAUs.” Draft IAUs would provide standardization across multiple management jurisdictions by applying the same parameters for their delineation. These draft IAUs would provide trail managers with an area surrounding NSHTs that would trigger the need for an inventory if a project were proposed within it and are meant to be refined during localized inventory efforts. The best practices herein are for creating draft IAUs using standard parameters for performing a viewshed analysis to identify a proxy of land to include in an initial inventory effort.
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