Context: Small population sizes and no possibility of metapopulation rescue put narrowly distributed endemic species under elevated risk of extinction from anthropogenic change. Desert spring wetlands host many endemic species that require aquatic habitat and are isolated by the surrounding xeric terrestrial habitat.
Aims: We sought to model the occupancy dynamics of the Dixie Valley toad (Anaxyrus williamsi), a recently described species endemic to a small desert spring wetland complex in Nevada, USA.
Methods: We divided the species’ range into 20 m × 20 m cells and surveyed for Dixie Valley toads at 60 cells during six primary periods from 2018 to 2021, following an occupancy study design. We analysed our survey data by using a multi-state dynamic occupancy model to estimate the probability of adult occurrence, colonisation, site survival, and larval occurrence and the relationship of each to environmental covariates.
Key results: The detection probabilities of adult and larval toads were affected by survey length and time of day. Adult Dixie Valley toads were widely distributed, with detections in 75% of surveyed cells at some point during the 3-year study, whereas larvae were observed only in 20% of cells during the study. Dixie Valley toad larvae were more likely to occur in cells far from spring heads with a high coverage of surface water, low emergent vegetation cover, and water temperatures between 20°C and 28°C. Adult toads were more likely to occur in cells with a greater coverage of surface water and water depth >10 cm. Cells with more emergent vegetation cover and surface water were more likely to be colonised by adult toads.
Conclusions: Our results showed that Dixie Valley toads are highly dependent on surface water in both spring and autumn. Adults and larvae require different environmental conditions, with larvae occurring farther from spring heads and in fewer cells.
Implications: Disturbances to the hydrology of the desert spring wetlands in Dixie Valley could threaten the persistence of this narrowly distributed toad.
","language":"English","publisher":"CSIRO","doi":"10.1071/WR22029","usgsCitation":"Rose, J.P., Kleeman, P.M., and Halstead, B., 2023, Hot, wet and rare: Modelling the occupancy dynamics of the narrowly distributed Dixie Valley toad: Wildlife Research, v. 50, no. 7, p. 552-567, https://doi.org/10.1071/WR22029.","productDescription":"16 p.","startPage":"552","endPage":"567","ipdsId":"IP-136748","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445464,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr22029","text":"Publisher Index Page"},{"id":435581,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QCIC87","text":"USGS data release","linkHelpText":"USGS Occupancy Surveys for Dixie Valley Toads, Anaxyrus williamsi, in Churchill County, Nevada from April 2018 to May 2021"},{"id":435580,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97DSXJM","text":"USGS data release","linkHelpText":"Code to Analyze Occupancy Data for Dixie Valley Toads, Anaxyrus williamsi in Churchill County, Nevada from 2018 to 2021"},{"id":407214,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":852768,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263330,"text":"70263330 - 2023 - Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received","interactions":[],"lastModifiedDate":"2025-02-06T16:46:07.651241","indexId":"70263330","displayToPublicDate":"2022-08-25T10:43:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received","docAbstract":"Earthquake early warning (EEW) systems are relatively new technologies having first emerged as regional systems in the 1990s. Japan was the first nation to develop and implement a nationwide system in October 2007, and in the United States, ShakeAlert® became available on the entire length of the US West Coast in May 2021. Assessing how EEW is perceived and utilized by alert recipients is considered essential. Such assessments are necessary to evaluate whether alert recipients are taking advantage of alert messages to initiate protective actions upon receipt of an alert, how they regard the usefulness of alerts, desirable thresholds for issuing alerts, and other aspects of these systems. Having information from users will also facilitate assessments of the success of earthquake preparedness educational programs such as the ShakeOut and whether annual drills which include information on EEW systems are resulting in behavioral response consistent with the content of these programs. Finally, information on EEW utilization will provide data useful to social scientists who study hazards to advance our understanding of behavioral response to warnings. Survey research in the aftermath of a significant earthquake in which an EEW has been issued is one obvious method of achieving these objectives and there already exist a number of survey instruments for this purpose. A related strategy and the goal of the present research is to develop a brief questionnaire, consistent with those already developed, as a supplement to the United States Geological Survey’s “Did You Feel It?” questionnaire that has provided earthquake intensities and information on behavioral response in earthquakes, both domestic and international, since 2004. Having the intensity level at each respondent’s location is essential for relating their perspectives and actions to the shaking they experienced.
","language":"English","publisher":"Sage","doi":"10.1177/87552930221116133","usgsCitation":"Goltz, J.D., Wald, D.J., McBride, S., deGroot, R.M., Breeden, J., and Bostrom, A., 2023, Development of a companion questionnaire for “Did You Feel It?”: Assessing response in earthquakes where an earthquake early warning may have been received: Earthquake Spectra, v. 39, no. 1, p. 434-453, https://doi.org/10.1177/87552930221116133.","productDescription":"20 p.","startPage":"434","endPage":"453","ipdsId":"IP-141493","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":481757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Goltz, James D.","contributorId":198432,"corporation":false,"usgs":false,"family":"Goltz","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":926418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"deGroot, Robert Michael 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":239577,"corporation":false,"usgs":true,"family":"deGroot","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breeden, Jolie","contributorId":350455,"corporation":false,"usgs":false,"family":"Breeden","given":"Jolie","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":926422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bostrom, Ann 0000-0002-6399-3404","orcid":"https://orcid.org/0000-0002-6399-3404","contributorId":239575,"corporation":false,"usgs":false,"family":"Bostrom","given":"Ann","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926423,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236439,"text":"70236439 - 2023 - Range-wide sources of variation in reproductive rates of northern spotted owls","interactions":[],"lastModifiedDate":"2023-01-18T16:01:33.826947","indexId":"70236439","displayToPublicDate":"2022-08-25T06:36:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide sources of variation in reproductive rates of northern spotted owls","docAbstract":"We conducted a range-wide investigation of the dynamics of site level reproductive rate of northern spotted owls using survey data from 11 study areas across the sub-species geographic range collected during 1993–2018. Our analytical approach accounted for imperfect detection of owl pairs and misclassification of successful reproduction (i.e., at least one young fledged) and contributed further insights into northern spotted owl population ecology and dynamics. Both nondetection and state misclassification were important, especially because factors affecting these sources of error also affected focal ecological parameters. Annual probabilities of site occupancy were greatest at sites with successful reproduction in the previous year and lowest for sites not occupied by a pair in the previous year. Site-specific occupancy transition probabilities declined over time and were negatively affected by barred owl presence. Overall, the site-specific probability of successful reproduction showed substantial year-to-year fluctuations and was similar for occupied sites that did and did not experience successful reproduction the previous year. Site-specific probabilities for successful reproduction were very small for sites that were unoccupied the previous year. Barred owl presence negatively affected the probability of successful reproduction by northern spotted owls in Washington and California, as predicted, but the effect in Oregon was mixed. The proportions of sites occupied by northern spotted owl pairs showed steep, near-monotonic declines over the study period, with all study areas showing the lowest observed levels of occupancy to date. If trends continue it is likely that northern spotted owls will become extirpated throughout large portions of their range in the coming decades.
The eruption of the submarine Hunga Tonga-Hunga Haʻapai (Hunga Tonga) volcano on 15 January 2022, was one of the largest volcanic explosions recorded by modern geophysical instrumentation. The eruption was notable for the broad range of atmospheric wave phenomena it generated and for their unusual coupling with the oceans and solid Earth. The event was recorded worldwide across the Global Seismographic Network (GSN) by seismometers, microbarographs and infrasound sensors. The broad-band instrumentation in the GSN allows us to make high fidelity observations of spheroidal solid Earth normal modes from this event at frequencies near 3.7 and 4.4 mHz. Similar normal mode excitations were reported following the 1991 Pinatubo (Volcanic Explosivity Index of 6) eruption and were predicted, by theory, to arise from the excitation of mesosphere-scale acoustic modes of the atmosphere coupling with the solid Earth. Here, we compare observations for the Hunga Tonga and Pinatubo eruptions and find that both strongly excited the solid Earth normal mode 0S29 (3.72 mHz). However, the mean modal amplitude was roughly 11 times larger for the 2022 Hunga Tonga eruption. Estimates of attenuation (Q) for 0S29 across the GSN from temporal modal decay give Q = 332 ± 101, which is higher than estimates of Q for this mode using earthquake data (Q = 186.9 ± 5). Two microbarographs located at regional distances (<1000 km) to the volcano provide direct observations of the fundamental acoustic mode of the atmosphere. These pressure oscillations, first observed approximately 40 min after the onset of the eruption, are in phase with the seismic Rayleigh wave excitation and are recorded only by microbarographs in proximity (<1500 km) to the eruption. We infer that excitation of fundamental atmospheric modes occurs within a limited area close to the site of the eruption, where they excite select solid Earth fundamental spheroidal modes of similar frequencies that are globally recorded and have a higher apparent Q due to the extended duration of atmospheric oscillations.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggac284","usgsCitation":"Ringler, A.T., Anthony, R.E., Aster, R., Taira, T., Shiro, B., Wilson, D.C., De Angelis, S.H., Ebeling, C., Haney, M.M., Matoza, R., and Ortiz, H., 2023, The global seismographic network reveals atmospherically coupled normal modes excited by the 2022 Hunga Tonga eruption: Geophysical Journal International, v. 232, no. 3, p. 2160-2174, https://doi.org/10.1093/gji/ggac284.","productDescription":"15 p.","startPage":"2160","endPage":"2174","ipdsId":"IP-139300","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":414335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Hunga Tonga","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -176.0319755204097,\n -19.34999539921209\n ],\n [\n -176.0319755204097,\n -21.715107936512553\n ],\n [\n -174.05527592325726,\n -21.715107936512553\n ],\n [\n -174.05527592325726,\n -19.34999539921209\n ],\n [\n -176.0319755204097,\n -19.34999539921209\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"232","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aster, Rick","contributorId":303207,"corporation":false,"usgs":false,"family":"Aster","given":"Rick","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":866775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taira, T.","contributorId":303208,"corporation":false,"usgs":false,"family":"Taira","given":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":866776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":866777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":866778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Angelis, S. H.","contributorId":196732,"corporation":false,"usgs":false,"family":"De Angelis","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":866779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ebeling, C.","contributorId":297933,"corporation":false,"usgs":false,"family":"Ebeling","given":"C.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":866780,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":866781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matoza, R.","contributorId":303211,"corporation":false,"usgs":false,"family":"Matoza","given":"R.","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":866782,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortiz, H.","contributorId":303213,"corporation":false,"usgs":false,"family":"Ortiz","given":"H.","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":866783,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70251653,"text":"70251653 - 2023 - Integrative monitoring strategy for marine and freshwater harmful algal blooms and toxins across the freshwater-to-marine continuum","interactions":[],"lastModifiedDate":"2024-02-22T12:59:16.520858","indexId":"70251653","displayToPublicDate":"2022-06-24T06:54:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13437,"text":"Integrated Environmental Assessment and Management (IEAM)","active":true,"publicationSubtype":{"id":10}},"title":"Integrative monitoring strategy for marine and freshwater harmful algal blooms and toxins across the freshwater-to-marine continuum","docAbstract":"Many coastal states throughout the USA have observed negative effects in marine and estuarine environments caused by cyanotoxins produced in inland waterbodies that were transported downstream or produced in the estuaries. Estuaries and other downstream receiving waters now face the dual risk of impacts from harmful algal blooms (HABs) that occur in the coastal ocean as well as those originating in inland watersheds. Despite this risk, most HAB monitoring efforts do not account for hydrological connections in their monitoring strategies and designs. Monitoring efforts in California have revealed the persistent detection of cyanotoxins across the freshwater-to-marine continuum. These studies underscore the importance of inland waters as conduits for the transfer of cyanotoxins to the marine environment and highlight the importance of approaches that can monitor across hydrologically connected waterbodies. A HAB monitoring strategy is presented for the freshwater-to-marine continuum to inform HAB management and mitigation efforts and address the physical and hydrologic challenges encountered when monitoring in these systems. Three main recommendations are presented based on published studies, new datasets, and existing monitoring programs. First, HAB monitoring would benefit from coordinated and cohesive efforts across hydrologically interconnected waterbodies and across organizational and political boundaries and jurisdictions. Second, a combination of sampling modalities would provide the most effective monitoring for HAB toxin dynamics and transport across hydrologically connected waterbodies, from headwater sources to downstream receiving waterbodies. Third, routine monitoring is needed for toxin mixtures at the land–sea interface including algal toxins of marine origins as well as cyanotoxins that are sourced from inland freshwater or produced in estuaries. Case studies from California are presented to illustrate the implementation of these recommendations, but these recommendations can also be applied to inland states or regions where the downstream receiving waterbody is a freshwater lake, reservoir, or river.
Hybridisation with introduced taxa poses a threat to native fish populations. Mechanisms of reproductive isolation can limit or prevent hybridisation between closely related species. Understanding how these mechanisms interact between the same species across geographically distinct occurrences of secondary contact, and how regional factors influence them, can inform our understanding of hybridisation as a threat and management actions to mitigate this threat. We used data collected on adult fish migration timing and approximate emergence timing of subsequent juvenile fish paired with genomic data to assess whether temporal isolation in the timing of spawning exists between Yellowstone cutthroat trout, rainbow trout and hybrids in the North Fork Shoshone River drainage in northwest Wyoming. We found evidence that Yellowstone cutthroat trout spawn, on average, two to four weeks later than rainbow trout and hybrids and two environmental covariates related to water temperature and discharge were associated with differences in spawning migration timing. Despite statistical support for Yellowstone cutthroat trout spawning later, disproportionately high numbers of rainbow trout and hybrids, paired with extended spawning seasons, lead to substantial overlap between all genotypes. Our results provide further evidence of temporal segregation in the timing of spawning as a mechanism of reproductive isolation between closely related species, but substantial spawning overlap suggests temporal segregation alone will not be enough to curtail hybridisation in conservation populations.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12672","usgsCitation":"Fennell, J.M., Rosenthal, W.C., Wagner, C.E., Burckhardt, J., and Walters, A.W., 2023, Temporal segregation in spawning between native Yellowstone cutthroat trout and introduced rainbow trout: Ecology of Freshwater Fish, v. 32, no. 1, p. 94-106, https://doi.org/10.1111/eff.12672.","productDescription":"13 p.","startPage":"94","endPage":"106","ipdsId":"IP-138796","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Shoshone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.05147267018684,\n 44.63796386862521\n ],\n [\n -110.05147267018684,\n 44.43079993596103\n ],\n [\n -109.26902782382284,\n 44.43079993596103\n ],\n [\n -109.26902782382284,\n 44.63796386862521\n ],\n [\n -110.05147267018684,\n 44.63796386862521\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenthal, William C.","contributorId":337831,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Catherine E.","contributorId":337832,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":337833,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":902722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254819,"text":"70254819 - 2023 - Population connectivity of aquatic insects in a dam-regulated, desert river","interactions":[],"lastModifiedDate":"2024-06-12T00:34:57.615577","indexId":"70254819","displayToPublicDate":"2022-04-20T19:31:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Population connectivity of aquatic insects in a dam-regulated, desert river","docAbstract":"Humans have exaggerated natural habitat fragmentation, negatively impacting species dispersal and reducing population connectivity. Habitat fragmentation can be especially detrimental in freshwater populations, whose dispersal is already constrained by the river network structure. Aquatic insects, for instance, are generally limited to two primary modes of dispersal: downstream drift in the aquatic juvenile life stages and flight during the terrestrial winged adult stage. Yet the impacts of large hydropower dams can make rivers uninhabitable for incoming (drifting) juvenile insects, with remaining refugia found only in tributaries. The ability of adult aquatic insects to traverse such river stretches in search of suitable tributary habitat likely depends on factors such as species-specific dispersal ability and distance between tributaries. To explore the intersection of natural and human-induced habitat fragmentation on aquatic insect dispersal ability, we quantified population genetics of three taxa with varying dispersal abilities, a caddisfly (Hydropsychidae, Hydropsyche oslari), a mayfly (Baetidae: Fallceon quilleri), and a water strider (Veliidae: Rhagovelia distincta), throughout tributaries of the Colorado River in the Grand Canyon, Arizona, USA. Using 2bRAD reduced genome sequencing and landscape genetics analyses, we revealed a strong pattern of isolation by distance among mayfly populations. This contrasts with caddisfly and water strider populations, which were largely panmictic. Analysis of thousands of informative single nucleotide polymorphisms showed that realized dispersal ability may not be accurately predicted by species traits for these widespread species. Principal components analysis revealed a strong division between caddisfly populations upstream and downstream of Havasu Creek (279 km through the 390 km study reach), suggesting that the geography of the Grand Canyon imposes a dispersal barrier for this species. Our use of genetic tools in the Grand Canyon to understand population structure has enabled us to elucidate dispersal barriers for aquatic insects. Ultimately, these data may be useful in informing effective conservation management plans for understudied organisms of conservation interest.
Wetlands play a vital role in Earth's carbon cycle and provide important ecosystem services. Their ability to perform their roles can be compromised by human activities that destroy or impair their functioning. The restoration of degraded wetlands may allow carbon cycle functioning, as well as other services, to be recovered. Predicting the potential outcomes from any restoration project requires upfront consideration, including via modeling possible changes in carbon stocks. In this study, we quantified the carbon stocks in tall shrub vegetation proliferating in a degraded salt marsh that is currently the subject of an extensive restoration project. We produced allometric models to estimate biomass and carbon stocks for three tall shrub species, which, along with other freshwater and upland species in the area, will die with continued restoration. Therefore, estimating the potential for carbon losses in biomass is important. We also developed a means of estimating carbon stocks in other nontree plants in the estuary area. Useful equations for estimating the biomass of tall shrubs are limited in general and lacking for degraded systems. Our study adds to the literature on carbon stocks in shrub species and fills a data gap for degraded ecosystems. It also contributes to the broader carbon feasibility study of the aforementioned restoration project that was designed to predict the overall net impact of the project on greenhouse gas emissions in the ecosystem.
Widespread extirpation of native fish populations has led to a rise in species reintroduction efforts worldwide. Most efforts have relied on demographic data alone to guide project design and evaluate success. However, the genetic characteristics of many imperiled fish populations including low diversity, local adaptation, and hatchery introgression emphasize the importance of genetic data in the design and monitoring of reintroduction efforts. Focusing on a case study of brook trout (Salvelinus fontinalis) in North Carolina, USA, we show how the combined use of genetic and demographic data can support reintroduction efforts by improving source population selection and providing opportunities to evaluate genetic viability and adaptive potential in restored populations. Using this combined approach, we reintroduced brook trout into a restored stream from two source populations and monitored changes in genetic diversity and population size in source and recipient populations. Three years after the initial translocation, the reintroduced population had comparable density, but higher genetic diversity, than either source population. This study demonstrates the utility of genetic and demographic data for reintroduction efforts, particularly when extant populations are genetically depauperate and maintaining adaptive potential is a primary restoration goal. However, we emphasize the value of continued monitoring at longer temporal and spatial scales to determine the effects of stochastic process on the long-term adaptive capacity and persistence of reintroduced populations. Overall, inclusion of genetic data in reintroduction efforts offers increased ability to meet project goals while simultaneously conserving critical sources of adaptive variation that exist across the landscape.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13662","usgsCitation":"White, S.L., Johnson, T.C., Rash, J.M., Lubinski, B.A., and Kazyak, D., 2023, Using genetic data to advance stream fish reintroduction science: A case study in brook trout: Restoration Ecology, v. 31, no. 1, e13662, 13 p., https://doi.org/10.1111/rec.13662.","productDescription":"e13662, 13 p.","ipdsId":"IP-131735","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":397018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA \"}}]}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Thomas C","contributorId":245999,"corporation":false,"usgs":false,"family":"Johnson","given":"Thomas","email":"","middleInitial":"C","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":837717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":837718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":837720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236841,"text":"70236841 - 2023 - Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming","interactions":[],"lastModifiedDate":"2023-02-02T17:10:19.900697","indexId":"70236841","displayToPublicDate":"2022-03-01T06:56:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming","docAbstract":"Natural Trap Cave, located in the Big Horn Mountains of north-central Wyoming, has a history of trapping and preserving a range of North American fauna that plummeted into the deep vertical entrance. These animal remains were buried and preserved within sediments of the main chamber and, in turn, have helped elucidate the procession of faunal dynamics during the latest glacial cycle. The cave location, south of the Laurentide and Cordilleran Ice Sheets, and proximal to Yellowstone, is at an ideal geographical juncture to provide insights to ecological changes in North America. The sediments that the animals are buried in inform us about transport and deposition both inside and outside of the cave that relate to catchment dynamics. We report on a series of optically stimulated luminescence (OSL) ages derived from samples obtained within the cave during excavation work in 2014 and in 2018. We also examine chronology produced by argon, tephrochronology, fission track, and luminescence techniques that have been used for understanding the infilling of the cave. The cave sediment ages and in situ measured gamma spectroscopy as measured in this study helped resolve an improved chronological age model when combined with previous data.
The suite of OSL ages is interpreted through the stratigraphic relationships (and vertebrates contained within) which requires the use of an adequate age model; we use either the central age model or minimum age model where appropriate and with justification. Lowest sediments are dated to ∼150 ka with a hiatus at ∼130 to 52 ka. Above this, sediment deposition and entrainment of paleontological materials are representative of Pleistocene and early Holocene times, between 37 ± 6 ka and 7.6 ± 0.5 ka. The stratigraphic architecture suggests that deposition of materials into the cave is episodic and rapid, followed by quiescent periods where hydrologic scour, heavy overland flow, or possibly a cryo-hydrologic process may have altered unit relationships. Thus, the complementary geochronometers and the characteristics of quartz versus feldspar luminescence signals improve temporal interpretations of these complex deposits. This adapted understanding of mixing also sets the stage for future work with the aim to improve our understanding of ages and sources for ash units within these cave deposits. The three ash units recognized in the cave may represent an in-situ reworking of the same ash or may be representative of previously undocumented eruptions from the Yellowstone Caldera.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2022.01.005","usgsCitation":"Mahan, S.A., Wood, J.R., Lovelace, D.M., Laden, J., McGuire, J., and Meachen, J., 2023, Luminescence ages and new interpretations of the timing and deposition of Quaternary sediments at Natural Trap Cave, Wyoming: Quaternary International, v. 647-648, p. 22-35, https://doi.org/10.1016/j.quaint.2022.01.005.","productDescription":"14 p.","startPage":"22","endPage":"35","ipdsId":"IP-130446","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445542,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2022.01.005","text":"Publisher Index Page"},{"id":435584,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K8OYLG","text":"USGS data release","linkHelpText":"Data Release for Luminescence: Luminescence data for Natural Trap Cave, Wyoming"},{"id":407047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Natural Trap Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.27438354492188,\n 44.79158175909386\n ],\n [\n -107.92282104492188,\n 44.79158175909386\n ],\n [\n -107.92282104492188,\n 45.00219463609633\n ],\n [\n -108.27438354492188,\n 45.00219463609633\n ],\n [\n -108.27438354492188,\n 44.79158175909386\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"647-648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":852335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, John R.","contributorId":265642,"corporation":false,"usgs":false,"family":"Wood","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":852336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, Dave M 0000-0002-0154-4777","orcid":"https://orcid.org/0000-0002-0154-4777","contributorId":296740,"corporation":false,"usgs":false,"family":"Lovelace","given":"Dave","email":"","middleInitial":"M","affiliations":[{"id":64159,"text":"University of Wisconsin-Madison, Dept. of Geoscience","active":true,"usgs":false}],"preferred":false,"id":852337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laden, Juan","contributorId":296741,"corporation":false,"usgs":false,"family":"Laden","given":"Juan","email":"","affiliations":[],"preferred":false,"id":852338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, Jenny","contributorId":269803,"corporation":false,"usgs":false,"family":"McGuire","given":"Jenny","email":"","affiliations":[{"id":56035,"text":"GA Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":852339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meachen, Julie 0000-0002-2526-2045","orcid":"https://orcid.org/0000-0002-2526-2045","contributorId":296742,"corporation":false,"usgs":false,"family":"Meachen","given":"Julie","email":"","affiliations":[{"id":64161,"text":"Des Moines University","active":true,"usgs":false}],"preferred":false,"id":852340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228207,"text":"70228207 - 2023 - The Hawai'i groundwater recharge tool","interactions":[],"lastModifiedDate":"2023-07-24T16:28:25.313428","indexId":"70228207","displayToPublicDate":"2022-02-07T09:04:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10084,"text":"Concurrency and Computation: Practice and Experience","active":true,"publicationSubtype":{"id":10}},"title":"The Hawai'i groundwater recharge tool","docAbstract":"This article discusses the design and implementation of the Hawai’i Groundwater\nRecharge Tool, an application for providing data and analyses of the impacts\nof land-cover modifications and changes in precipitation on groundwater-recharge\nrates for the island of O’ahu. This application uses simulation data based on a set of\n29 land-cover types and 2 precipitation conditions to provide users with real-time\nrecharge calculations for interactively defined land-cover modifications. The tool provides\ntwo visualizations, representing the land cover for the island and the resultant\ngroundwater-recharge rates, and a set of metrics indicating the changes to groundwater\nrecharge for relevant areas to present a set of easily interpretable outcomes based\non user-defined scenarios. Users have varying degrees of control over the granularity\nof data input and output, allowing for the quick production of a roughly defined scenario,\nor more precise land-cover definitions. These modifications can be exported for\nfurther analysis. Heuristics are used to provide a responsive user interface and performant\nintegration with the database containing the full set of simulation data. This\ntool is designed to provide user-friendly access to the information on the impacts of\nland-cover and precipitation changes on groundwater-recharge rates needed to assist\nin making data-driven decisions.","language":"English","publisher":"Wiley","doi":"10.1002/cpe.6843","usgsCitation":"McLean, J.H., Cleveland, S.B., Rotzoll, K., Izuka, S.K., Leigh, J., Jacobs, G.A., and Theriot, R., 2023, The Hawai'i groundwater recharge tool: Concurrency and Computation: Practice and Experience, v. 35, no. 18, e6843, https://doi.org/10.1002/cpe.6843.","productDescription":"e6843","ipdsId":"IP-119105","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":395528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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H.","contributorId":217618,"corporation":false,"usgs":false,"family":"McLean","given":"Jared","email":"","middleInitial":"H.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":833417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Sean B.","contributorId":215893,"corporation":false,"usgs":false,"family":"Cleveland","given":"Sean","email":"","middleInitial":"B.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":833418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":833419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leigh, Jason","contributorId":220109,"corporation":false,"usgs":false,"family":"Leigh","given":"Jason","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":833421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobs, Gwen A.","contributorId":215071,"corporation":false,"usgs":false,"family":"Jacobs","given":"Gwen","email":"","middleInitial":"A.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":833422,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theriot, Ryan","contributorId":220110,"corporation":false,"usgs":false,"family":"Theriot","given":"Ryan","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":833423,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231550,"text":"70231550 - 2023 - Gene flow influences the genomic architecture of local adaptation in six riverine fish species","interactions":[],"lastModifiedDate":"2023-03-31T14:55:43.388822","indexId":"70231550","displayToPublicDate":"2021-12-08T06:49:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Gene flow influences the genomic architecture of local adaptation in six riverine fish species","docAbstract":"Understanding how gene flow influences adaptive divergence is important for predicting adaptive responses. Theoretical studies suggest that when gene flow is high, clustering of adaptive genes in fewer genomic regions would protect adaptive alleles from recombination and thus be selected for, but few studies have tested it with empirical data. Here, we used restriction site-associated sequencing to generate genomic data for six fish species with contrasting life histories from six reaches of the Upper Mississippi River System, USA. We used four differentiation-based outlier tests and three genotype–environment association analyses to define neutral single nucleotide polymorphisms (SNPs) and outlier SNPs that were putatively under selection. We then examined the distribution of outlier SNPs along the genome and investigated whether these SNPs were found in genomic islands of differentiation and inversions. We found that gene flow varied among species, and outlier SNPs were clustered more tightly in species with higher gene flow. The two species with the highest overall FST (0.0303–0.0720) and therefore lowest gene flow showed little evidence of clusters of outlier SNPs, with outlier SNPs in these species spreading uniformly across the genome. In contrast, nearly all outlier SNPs in the species with the lowest FST (0.0003) were found in a single large putative inversion. Two other species with intermediate gene flow (FST ~ 0.0025–0.0050) also showed clustered genomic architectures, with most islands of differentiation clustered on a few chromosomes. Our results provide important empirical evidence to support the hypothesis that increasingly clustered architecture of local adaptation is associated with high gene flow.
The U.S. Geological Survey (USGS) has been a National Atmospheric Deposition Program (NADP) partner agency since 1981. NADP is comprised of five atmospheric monitoring networks that verify Clean Air Act effectiveness and provide essential data to protect human health and preserve ecosystems for current and future generations. Stakeholders include land management agencies overseeing sensitive habitats (National Park Service, Bureau of Land Management, U.S. Forest Service, and First Nations), Federal and State regulatory agencies, and the public.
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Observing Systems Division
Water Mission Area - Hydrologic Networks Branch
U.S. Geological Survey Wyoming-Montana Water Science Center
521 Progress Circle, Suite 6
Cheyenne, WY 82007
Contact Publications Warehouse
We evaluated the use of the time series segmented residual trends (TSS-RESTREND) methodology to analyze plant community trends after oil and gas reclamation. We focused on reclaimed well pads managed by the Bureau of Land Management in northwestern Colorado. We assessed whether TSS-RESTREND could detect postreclamation changes in a plant community and if such changes corresponded with management actions. We used precipitation data and the greenness-to-cover index to calculate the residuals of the vegetation–precipitation relationship (VPR residuals). The VPR residuals represent plant community trends caused by disturbance or management actions and not by precipitation. We then used breaks for additive season and trend and the Chow test on the VPR residuals of each well pad to identify abrupt changes in plant community composition from 2000 to 2020. Afterward, we applied a segmented residual trend (RESTREND) analysis to the VPR residuals before and after an identified breakpoint or a singular RESTREND when no significant breakpoint was found to determine if reclamation had an effect on vegetation response to precipitation. We found a slight positive increase in VPR residuals over time since reclamation, indicating a more positive response to precipitation over time. In addition, well pads with lower aridity index values had a small positive trend in VPR residuals over time, suggesting the negative impact of aridity on plant community composition diminishes with increasing time since reclamation. To further understand the connection between management actions and outcomes, we compared findings from TSS-RESTREND with aerial imagery and well pad documentation. With this information, we categorized the well pads into six groups based on reclamation outcomes. This approach provided insights into the effects of management actions on recovery. Overall, TSS-RESTREND methodology can help identify changes in plant community composition over time, enhancing our understanding of plant community dynamics in these severely degraded areas.
The SARS-CoV-2 (COVID-19) pandemic triggered dramatic shifts in the way that ecologists teach, research, and interact (e.g., Cooke et al. 2021). As the world now adjusts to a “new normal” era, there is notable and open discussion about the merits or desire to return to practices used prior to the pandemic (e.g., Roulson 2021). A dominant aspect of these discussions is when and how researchers can return to the practice of large, centralized, in-person conferences that have been the primary mode of professional interaction for decades. While questions of safety are naturally paramount and will guide decision making for some time, there remains the broader question of whether and how to implement virtual and hybrid formats in the future.
Discussions about the return to in-person meetings and expressed resentment about the use of virtual formats (Stevens and Murphy 2021) that we routinely see circulated by professional organizations and on social media assume that the latter is a lesser-quality version of the former. However, we put forward that these sentiments neglect the diversity of opinions among scientists and evidence of prevalent, positive attitudes about the use of virtual (and possibly, as yet undeveloped) modes of conferences. For example, 74% of more than 900 researchers surveyed by the journal Nature during the initial phase of the pandemic expressed a desire for virtual conferences to remain in practice even when travel restrictions were eased (Remmel 2021). Other surveys have shown that scientists are highly interested in alternative conference formats due to concerns about climate change (Nursey-Bray et al. 2019; Haage 2020) and access (Niner and Wassermann 2021). These data indicate most researchers have personal circumstances or perspectives that recognize the value of a broader discussion about how conferences and interactions among researchers can be shaped.
","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10765","usgsCitation":"Rolls, R., Rogosch, J.S., and Kuehne, L.M., 2022, How shall we meet? Embracing the opportunities of virtual conferencing: Fisheries Magazine, v. 47, no. 7, p. 304-306, https://doi.org/10.1002/fsh.10765.","productDescription":"3 p.","startPage":"304","endPage":"306","ipdsId":"IP-136783","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":493295,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10072/419537","text":"External Repository"},{"id":432942,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Rolls, Robert J.","contributorId":341926,"corporation":false,"usgs":false,"family":"Rolls","given":"Robert J.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":909172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":909173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehne, Lauren M.","contributorId":341927,"corporation":false,"usgs":false,"family":"Kuehne","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":81805,"text":"Omfishient Consulting","active":true,"usgs":false}],"preferred":false,"id":909174,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70238702,"text":"70238702 - 2022 - MTAB 102, November 2022","interactions":[],"lastModifiedDate":"2024-07-18T14:29:26.883172","indexId":"70238702","displayToPublicDate":"2023-11-23T10:56:06","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 102, November 2022","docAbstract":"This Memo to All Banders (MTAB 102) was released in November 2022. Subjects in this this memo are 1. The Chiefs Chirp; 2. Alerts Highly Pathogenic Avian Influenza; 3. Staff updates BBL Staff Attends IOU Meeting, Banders Without Borders Attends Euring General Assembly, BBL Expands Knowledge of WRP Codes; 4. News You Can Now Submit Data Using the Bander Portal, The Release of the Bird Migration Explorer Tool, Recent Highlights from the BBLs Fall Migration Station; 5. A note from the permitting shelves; 6. A note from the supply room; 7. Data management; 8. Frequently asked questions; 9. Banding and encounter highlights; 10. Auxiliary marker corner; 11. Message to the Flyways; 12. Message From The Ornithological Council; 13. Message regarding the Banding Associations; 14. Message from Canadas BBO; 15. Moments in history; 16. Recent Publications; 17. Upcoming events; and 18. Request for information. Appendix 1 Species Changes Update & Appendix 2 Bander Portal FAQ","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., and McKay, J.L., 2022, MTAB 102, November 2022: Memo to All Banders (MTAB), 31 p.","productDescription":"31 p.","ipdsId":"IP-147200","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":410089,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-102-november-2022"},{"id":425736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":858307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":858308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254744,"text":"70254744 - 2022 - Density-dependent processes and population dynamics of native sculpin in a mountain river","interactions":[],"lastModifiedDate":"2024-06-07T11:39:27.018356","indexId":"70254744","displayToPublicDate":"2023-03-29T06:37:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Density-dependent processes and population dynamics of native sculpin in a mountain river","docAbstract":"Understanding the processes governing population dynamics is important for effective conservation and environmental management. Disentangling the relative role of density-dependent versus density-independent processes on population dynamics is often made difficult by the inability to control for abiotic or biotic factors, but long-term datasets are invaluable in this pursuit. We used a 14-year dataset from the Logan River, Utah, to assess long-term trends in abundance and evidence of density-dependent and density-independent effects on population dynamics of Paiute sculpin (Cottus beldingii) across six sites. Additionally, we evaluated the feeding ecology of sculpin over 4 years. Sculpin densities generally increased from upstream to downstream, and the annual per capita rate of increase was negatively and significantly correlated with sculpin density at four of six sites. We observed a negative relationship between total gut content and sculpin density but did not observe a negative relationship between relative condition and density. Sculpin displayed a generalist feeding strategy, and interannual differences in diet composition appeared to be influenced by interannual differences in flow, particularly years with higher magnitude flow. The observed spatial patterns in sculpin abundance throughout the watershed matched those of invasive brown trout (Salmo trutta), the top piscivore in the Logan River, and likely represent affinities for the suite of ecological conditions associated with downstream sections of the Logan River. Our results suggest that sculpin populations are regulated largely by density-dependent processes and match those from other studies on sculpin population dynamics including a range of species and habitats that differ vastly in abiotic conditions.
Volunteer monitoring can support conservation of imperiled wildlife, by providing higher resolution data in space and time than those available from professional scientists. However, concerns have been raised that data collected by amateurs are inaccurate or inconsistent and thus do not allow for robust detection of spatial or temporal trends. We evaluated the rigor and value of volunteer monitoring data for one iconic wildlife species, the southern sea otter (Enhydra lutris nereis), in Elkhorn Slough estuary in central California, USA, and explored whether volunteer monitoring could provide added value to complement limited professional surveys. First, we compiled and analyzed sea otter counts taken on daily ecotourist boat trips along the estuary, and then compared temporal patterns to data collected by professional scientists tasked with monitoring this federally listed species. Second, we analyzed data on sea otter abundance, habitat use, and behavior collected by a team of trained volunteers, the Elkhorn Slough Reserve Otter Monitoring Program. Overall, we demonstrated the ability to detect important ecological patterns relevant to sea otter conservation and wetland habitat management using volunteer-derived datasets. Long-term trends and inter-annual variability were similar between professional agency monitoring data and volunteer datasets. Moreover, the much higher frequency of volunteer observations allowed for seasonal and tidal dynamics to be detected that could not be revealed by less frequent professional monitoring. We found higher sea otter abundance in the estuary in spring–summer, indicating seasonality in use of the estuary. We detected differences in habitat use of the estuary between higher and lower tides, and greater frequency of foraging at low tide and in certain areas. Volunteer observations revealed fine-scale differences in habitat use: eelgrass beds were used much more heavily than adjacent areas only a few meters away. Volunteer data can thus provide critical information about coastal habitat use and behavior that can improve conservation strategies for threatened wildlife species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4300","usgsCitation":"Eby, R., Rosso, S., Copriviza, J., Scoles, R., Gideon, Y., Mancino, J., Mayer, K.A., Yee, J.L., and Wasson, K., 2022, Sea otters in a California estuary: Detecting temporal and spatial dynamics with volunteer monitoring: Ecosphere, v. 13, no. 11, e4300, 15 p., https://doi.org/10.1002/ecs2.4300.","productDescription":"e4300, 15 p.","ipdsId":"IP-143440","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4300","text":"Publisher Index Page"},{"id":412675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elkhorn Slough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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]\n}","volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Eby, Ron","contributorId":221790,"corporation":false,"usgs":false,"family":"Eby","given":"Ron","email":"","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":863246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosso, Susan","contributorId":301987,"corporation":false,"usgs":false,"family":"Rosso","given":"Susan","email":"","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":863247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copriviza, John","contributorId":301989,"corporation":false,"usgs":false,"family":"Copriviza","given":"John","email":"","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research 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Safari","active":true,"usgs":false}],"preferred":false,"id":863251,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayer, Karl A.","contributorId":203504,"corporation":false,"usgs":false,"family":"Mayer","given":"Karl","email":"","middleInitial":"A.","affiliations":[{"id":36639,"text":"University of Wisconsin Zoological Museum, 250 North Mills Street, Madison, WI 53706 (PMH) Sea Otter Research and Conservation Program, Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940","active":true,"usgs":false}],"preferred":false,"id":863252,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research 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A regional water-table map was constructed. Historical water-level data from the USGS National Water Information System (NWIS) database were used to construct water-level hydrographs to show long-term (1917-2014) water-level changes in the Antelope Valley and Fremont Valley groundwater basins.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3420","collaboration":"Prepared in cooperation with the Antelope Valley State Water Contractors Association","usgsCitation":"Dick, M.C., Teague, N.F., 2018, Regional water table in the Antelope Valley and Fremont Valley groundwater basins, Southwestern Mojave Desert, California, March 2014: U.S. Geological Survey Scientific Investigations Map 3420, 2 p., https://doi.org/10.3133/sim3420","productDescription":"Data Release; HTML Document; 2 Sheets: 27.89 × 32.94 inches and 27.89 × 32.94 inches","ipdsId":"IP-075082","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":500196,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114336.htm","linkFileType":{"id":5,"text":"html"}},{"id":412692,"rank":6,"type":{"id":18,"text":"Project Site"},"url":"https://ca.water.usgs.gov/projects/antelope-valley/"},{"id":402402,"rank":1,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3420/sim3420_sheet1.pdf","text":"Sheet 1","size":"104 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3420 Sheet 1 of 2","linkHelpText":"- Regional water table in the Antelope Valley and Fremont Valley groundwater basins, southwestern Mojave Desert, California, March 2014"},{"id":402405,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3420/covrthb.jpg"},{"id":402403,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3420/sim3420_sheet2.pdf","text":"Sheet 2","size":"65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3420 Sheet 2 of 2","linkHelpText":"- Regional water-table change in the Antelope Valley and Fremont Valley groundwater basins, southwestern Mojave Desert, California, Spring 1996–2014"},{"id":402404,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3420/versionHist.txt"},{"id":405486,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IQIP0L","text":"Regional water table Contours of the Antelope Valley and Fremont Valley groundwater basins, Southwestern Mojave Desert, California, March 2014","description":"Dick, M.C., Teague, N.F., Fenton, N.C., 2022, Regional water table Contours of the Antelope Valley and Fremont Valley groundwater basins, Southwestern Mojave Desert, California, March 2014: U.S. Geological Survey data release, [available at https://doi.org/10.5066/P9IQIP0L]."}],"country":"United States","state":"California","otherGeospatial":"Mohave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.90567382213953,\n 36.106446138965794\n ],\n [\n -117.90567382213953,\n 34.61990913772064\n ],\n [\n -114.85277111098179,\n 34.61990913772064\n ],\n [\n -114.85277111098179,\n 36.106446138965794\n ],\n [\n -117.90567382213953,\n 36.106446138965794\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1: June 2016; Version 2: March 2017; Version. 3: July 2020; Version 4: June 2022","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Ecosystem transformations to altered or novel ecological states are accelerating across the globe. Indicators of ecological resilience to disturbance and resistance to invasion can aid in assessing risks and prioritizing areas for conservation and restoration. The sagebrush biome encompasses parts of 11 western states and is experiencing rapid transformations due to human population growth, invasive species, altered disturbance regimes, and climate change. We built on prior use of static soil moisture and temperature regimes to develop new, ecologically relevant and climate responsive indicators of both resilience and resistance. Our new indicators were based on climate and soil water availability variables derived from process-based ecohydrological models that allow predictions of future conditions. We asked: (1) Which variables best indicate resilience and resistance? (2) What are the relationships among the indicator variables and resilience and resistance categories? (3) How do patterns of resilience and resistance vary across the area? We assembled a large database (n = 24,045) of vegetation sample plots from regional monitoring programs and derived multiple climate and soil water availability variables for each plot from ecohydrological simulations. We used USDA Natural Resources Conservation Service National Soils Survey Information, Ecological Site Descriptions, and expert knowledge to develop and assign ecological types and resilience and resistance categories to each plot. We used random forest models to derive a set of 19 climate and water availability variables that best predicted resilience and resistance categories. Our models had relatively high multiclass accuracy (80% for resilience; 75% for resistance). Top indicator variables for both resilience and resistance included mean temperature, coldest month temperature, climatic water deficit, and summer and driest month precipitation. Variable relationships and patterns differed among ecoregions but reflected environmental gradients; low resilience and resistance were indicated by warm and dry conditions with high climatic water deficits, and moderately high to high resilience and resistance were characterized by cooler and moister conditions with low climatic water deficits. The new, ecologically-relevant indicators provide information on the vulnerability of resources and likely success of management actions, and can be used to develop new approaches and tools for prioritizing areas for conservation and restoration actions.
The diffusion of molecular water (H2Om) from the environment into volcanic glass can hydrate the glass up to several wt% at low temperature over long timescales. During this process, the water imprints its hydrogen isotope composition (δDH2O) to the glass (δDgl) offset by a glass-H2O fractionation factor (ΔDgl-H2O = δDgl – δDH2O) which is approximately −33‰ at Earth surface temperatures. Glasses hydrate much more rapidly at higher, sub-magmatic temperatures as they interact with H2O during eruption, transport, and emplacement. To aid in the interpretation of δDgl in natural samples, we present hydrogen isotope results from vapor hydration experiments conducted at 175–375 °C for durations of hours to months using natural volcanic glasses. The results can be divided into two thermal regimes: above 250 °C and below 250 °C. Lower temperature experiments yield raw ΔDgl-H2O values in the range of −33 ± 11‰. Experiments at 225 °C using both positive and negative initial ΔDgl-H2O values converge on this range of values, suggesting this range represents the approximate equilibrium fractionation for H isotopes between glass and H2O vapor (103lnαgl-H2O) below 250 °C. Variation in ΔDgl-H2O (−33 ± 11‰) between different experiments and glasses may arise from incomplete hydration, analytical uncertainty, differences in glass chemistry, and/or subordinate kinetic isotope effects. Experiments above 250 °C yield unexpectedly low δDgl values with ΔDgl-H2O values of ≤–85‰. While alteration alone is incapable of explaining the data, these run products have more extensive surface alteration and are not interpreted to reflect equilibrium fractionation between glass and H2O vapor. Fourier transform infrared spectroscopy (FTIR) shows that glass can hydrate with as much as 5.9 wt% H2Om and 1.0 wt% hydroxl (OH−) in the highest P-T experiment at 375 °C and 21.1 MPa. Therefore, we employ a 1D isotope diffusion–reaction model of glass hydration to evaluate the roles of equilibrium fractionation, isotope diffusion, water speciation reactions internal to the glass, and changing boundary conditions (e.g. alteration and dissolution). At lower temperatures, the best fitting model results to experimental data for low silica rhyolite (LSR) glasses require only an equilibrium fractionation factor and yield 103lnαgl-H2O values of −33‰ ± 5‰ and −25‰ ± 5‰ at 175 °C and 225 °C, respectively. At higher temperatures, ΔDgl-H2O is dominated by boundary layer effects during glass hydration and glass surface alteration. The modeled bulk δDgl value is highly responsive to changes in the δDgl boundary condition regardless of the magnitude of other kinetic effects. Observed glass dissolution and surficial secondary mineral formation are likely to impose a disequilibrium boundary layer that drives extreme δDgl fractionation with progressive glass hydration. These results indicate that the observed ΔDgl-H2O of ∼−33 ± 11‰ can be cautiously applied as an equilibrium 103lnαgl-H2O value to natural silicic glasses hydrated below 250 °C to identify hydration sources. This approximate ΔDgl-H2O may be applicable to even higher temperature glasses hydrated on short timescales (of seconds to minutes) in phreatomagmatic or submarine eruptions before H2O in the glass is primarily affected by boundary layer effects associated with alteration on the glass surface.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2022.09.032","usgsCitation":"Hudak, M.R., Bindeman, I.N., Watkins, J.M., and Lowenstern, J.B., 2022, Hydrogen isotope behavior during rhyolite glass hydration under hydrothermal conditions: Geochimica et Cosmochimica Acta, v. 337, p. 33-48, https://doi.org/10.1016/j.gca.2022.09.032.","productDescription":"16 p.","startPage":"33","endPage":"48","ipdsId":"IP-125992","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445596,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2022.09.032","text":"Publisher Index Page"},{"id":411968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hudak, Michael R. 0000-0002-0583-5424","orcid":"https://orcid.org/0000-0002-0583-5424","contributorId":287589,"corporation":false,"usgs":false,"family":"Hudak","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":861684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":861685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":861686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":861687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255292,"text":"70255292 - 2022 - Inferring hatchery effects using spawner-recruit data: Comment on Courter et al. (2022)","interactions":[],"lastModifiedDate":"2024-06-14T16:23:38.832598","indexId":"70255292","displayToPublicDate":"2023-01-11T11:21:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Inferring hatchery effects using spawner-recruit data: Comment on Courter et al. (2022)","docAbstract":"No abstract available.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0158","usgsCitation":"Falcy, M.R., 2022, Inferring hatchery effects using spawner-recruit data: Comment on Courter et al. (2022): Canadian Journal Fisheries and Aquatic Sciences, v. 80, no. 2, p. 420-421, https://doi.org/10.1139/cjfas-2022-0158.","productDescription":"2 p.","startPage":"420","endPage":"421","ipdsId":"IP-142908","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2022-0158","text":"Publisher Index Page"},{"id":430216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}