{"pageNumber":"308","pageRowStart":"7675","pageSize":"25","recordCount":165296,"records":[{"id":70237216,"text":"70237216 - 2023 - Microbial endophytes and compost improve plant growth in two contrasting types of hard rock mining waste","interactions":[],"lastModifiedDate":"2023-03-31T15:01:33.263845","indexId":"70237216","displayToPublicDate":"2022-08-30T06:47:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2064,"text":"International Journal of Phytoremediation","active":true,"publicationSubtype":{"id":10}},"title":"Microbial endophytes and compost improve plant growth in two contrasting types of hard rock mining waste","docAbstract":"The re-vegetation of mining wastes with native plants is a comparatively low-cost solution for mine reclamation. However, re-vegetation fails when extreme pH values, low organic matter, or high concentrations of phytotoxic elements inhibit plant establishment and growth. Our aim was to determine whether the combined addition of municipal waste compost and diazotrophic endophytes (i.e., microorganisms that fix atmospheric N2 and live within plants) could improve plant growth, organic matter accumulation, and phytostabilization of trace element contaminants in two types of hard rock mine waste. We grew a widespread native perennial grass, Bouteloua curtipendula, for one month in alkaline waste rock (porphyry copper mine) and tailings (Ag-Pb-Au mine, amended with dolomite) sourced from southeastern Arizona, United States. B. curtipendula tolerated elevated concentrations of multiple phytotoxic trace elements in the tailings (Mn, Pb, Zn), stabilizing them in roots without foliar translocation. Adding compost and endophyte seed coats improved plant growth, microbial biomass, and organic matter accumulation despite stark differences in the geochemical and physical characteristics of the mining wastes. The widespread grass B. curtipendula is a potential candidate for re-vegetating mine wastes when seeded with soil additives to increase pH and with microbial and organic amendments to increase plant growth.
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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852768,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238028,"text":"70238028 - 2023 - Impact of sedimentary basins on Green’s functions for static slip inversion","interactions":[],"lastModifiedDate":"2022-11-04T12:06:15.770722","indexId":"70238028","displayToPublicDate":"2022-08-29T07:04:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Impact of sedimentary basins on Green’s functions for static slip inversion","docAbstract":"Earthquakes often occur in regions with complex material structure, such as sedimentary basins or mantle wedges. However, the majority of co-seismic modelling studies assume a simplified, often homogeneous elastic structure in order to expedite the process of model construction and speed up calculations. These co-seismic forward models are used to produce Green’s functions for finite-fault inversions, so any assumptions made in the forward model may introduce bias into estimated slip models. In this study, we use a synthetic model of a sedimentary basin to investigate the impact of 3-D elastic structure on forward models of co-seismic surface deformation. We find that 3-D elastic structure can cause changes in the shape of surface deformation patterns. The magnitude of this effect appears to be primarily controlled by the magnitude of contrast in material properties, rather than the sharpness of contrast, the fault orientation, the location of the fault, or the slip orientation. As examples of real-world cases, we explore the impact of 3-D elastic structure with a model of the Taipei basin in Taiwan and a simulated earthquake on the Sanchaio fault, and with a 3-D geologic model of the San Francisco Bay Area and a slip model of the 1984 Morgan Hill earthquake on the Calaveras fault. Once again, we find that the presence of the basin leads to differences in the shape and amplitude of the surface deformation pattern, but we observe that the primary differences are in the magnitude of surface deformation and can be accounted for with a layered elastic structure. Our results imply that the use of homogeneous Green’s functions may lead to bias in inferred slip models in regions with sedimentary basins, so, at a minimum, a layered velocity structure should be used.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggac344","usgsCitation":"Langer, L., Beller, S., Hirakawa, E.T., and Tromp, J., 2023, Impact of sedimentary basins on Green’s functions for static slip inversion: Geophysical Journal International, v. 232, no. 1, p. 569-580, https://doi.org/10.1093/gji/ggac344.","productDescription":"12 p.","startPage":"569","endPage":"580","ipdsId":"IP-133675","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499860,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04920777","text":"External Repository"},{"id":409156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"232","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Langer, Leah 0000-0002-5384-0500","orcid":"https://orcid.org/0000-0002-5384-0500","contributorId":298853,"corporation":false,"usgs":true,"family":"Langer","given":"Leah","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":856606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beller, Stephen 0000-0002-5331-0788","orcid":"https://orcid.org/0000-0002-5331-0788","contributorId":298854,"corporation":false,"usgs":false,"family":"Beller","given":"Stephen","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":856607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":856608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tromp, Jeroen 0000-0002-2742-8299","orcid":"https://orcid.org/0000-0002-2742-8299","contributorId":298855,"corporation":false,"usgs":false,"family":"Tromp","given":"Jeroen","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":856609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236307,"text":"70236307 - 2023 - Spatial and temporal variations in phosphorus loads in the Illinois River Basin, Illinois USA","interactions":[],"lastModifiedDate":"2023-06-09T15:04:31.129879","indexId":"70236307","displayToPublicDate":"2022-08-27T06:57:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variations in phosphorus loads in the Illinois River Basin, Illinois USA","docAbstract":"Total phosphorus (TP) loads in many rivers in the north-central United States have increased, including the Illinois River at Valley City, Illinois, USA, which increased 39% from the periods 1989–1996 to 2015–2019 despite efforts to reduce loads from point and nonpoint sources. Here, we quantify long-term variations in phosphorus (P) loads in the Illinois River and its tributaries and identify factors that may be causing the variations. We calculated river loads of dissolved (DP) and particulate P (PP), total and volatile suspended solids (TSS and VSS), and other potentially related constituents at 41 locations. DP loads generally increased and PP and TSS loads generally decreased from 1989–1996 to 2015–2019. During 1989–1996, P accumulated in the lower basin between Marseilles and Valley City (excluding monitored tributaries). This portion of the basin is very flat and accumulates sediment. During 2015–2019, this section shifted from being a net sink to being a net source of P, accounting for 78% of the increased TP load at Valley City. We present evidence supporting several mechanisms that could have caused this shift: increased DP and chloride loads, reduced sulfate and nitrate concentrations influencing ionic strength and redox potential in the sediments, and increased VSS loads at Valley City possibly indicating greater algal production and contributing to hypoxia in lower river sediments. Additional research is needed to quantify the relative importance of these mechanisms.
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.
Context: Monitoring low-density, elusive predators such as grey wolves (Canis lupus) has often been undertaken via live-capture and radio-collaring. Recent advances in non-invasive methods suggest live-captures may not be necessary for adequate monitoring. Further, non-invasive methods are considered best practice when possible.
Aims: I evaluated whether a suite of non-invasive methods could replace aerial radiotelemetry to census resident pack wolves.
Methods: I employed aerial snow-tracking, ground snow-tracking, camera-trapping, non-invasive genetic surveys, and community-scientist reports during three winters (2019–2021) in north-eastern Minnesota, USA to census pack wolves in a 2060 km2 area. I attempted to enumerate individual pack sizes as has been historically undertaken to compile the census. Traditional aerial radiotelemetry methods were also conducted for comparison.
Key results: Ground snow-tracking and camera-trapping provided the most similar information to radiotelemetry for determining pack counts and territory information, and, in some cases, documented higher pack counts than those obtained by aerial radiotelemetry. Radiotelemetry was the best method for determining pack territories, but was limited to radioed packs. A staggered application of both approaches resulted in increased precision and additional pack-level information without greatly increasing overall field effort. Non-invasive methods allowed trapping for radio-collaring to be reduced to every other year (a 50% reduction), but depending on trapping success, survival of animals, and radio-collar battery life, might even be reduced to every third year.
Conclusions: In this 3-year trial, non-invasive methods were not sufficient to completely replace radio-collaring. Nevertheless, non-invasive methods allowed for a 50% reduction in trapping, increased the annual wolf-count precision, and increased community involvement. Anticipated technological improvements in non-invasive methods should reduce some issues encountered – but others will likely persist, in part, because of the fundamental nature of non-invasive methods.
Implications: Less reliance on captures, enhanced pack information, and increased public involvement are all successful outcomes of this 3-year trial of non-invasive methods for monitoring wolf populations. Non-invasive methods continue to broaden and improve technologically, and information from trials such as this will help guide others as they increasingly implement non-invasive methods as partial or complete replacements for traditional capture-based methods.
- Ecological forecasting provides a powerful set of methods for predicting short- and long-term change in living systems. Forecasts are now widely produced, enabling proactive management for many applied ecological problems. However, despite numerous calls for an increased emphasis on prediction in ecology, the potential for forecasting to accelerate ecological theory development remains underrealized.
- Here, we provide a conceptual framework describing how ecological forecasts can energize and advance ecological theory. We emphasize the many opportunities for future progress in this area through increased forecast development, comparison and synthesis.
- Our framework describes how a forecasting approach can shed new light on existing ecological theories while also allowing researchers to address novel questions. Through rigorous and repeated testing of hypotheses, forecasting can help to refine theories and understand their generality across systems. Meanwhile, synthesizing across forecasts allows for the development of novel theory about the relative predictability of ecological variables across forecast horizons and scales.
- We envision a future where forecasting is integrated as part of the toolset used in fundamental ecology. By outlining the relevance of forecasting methods to ecological theory, we aim to decrease barriers to entry and broaden the community of researchers using forecasting for fundamental ecological insight.
Establishing an effective restoration program requires baseline genetic information to make sound decisions for seed increase and transfer. For many plants this information is lacking, especially among native forbs that are critical for pollinator health. Erigeron speciosus is a widespread, perennial forb occupying montane environments in the western United States and Canada. This species is important in fostering pollinator diversity. Our study examines the population genetic patterns across the species range using reduced-representation sequencing and surveys for genome duplication using flow cytometry and cytology. These genomic tools provide critical information for seed increase and seed transfer, necessary for restoration programs. Population genetic differentiation (FST) average was 0.13 and ranged from 0.05 to 0.24 among 23 collection sites. Model-based Bayesian clustering supported a model with collection sites grouped into two populations, occupying distinct geographic regions of this species range. A genetic distance-based neighbor-joining tree also supported this division. Flow cytometry of 53 samples from 17 populations had 2C values that ranged from 1.7 to 3.6 pg with a mean 2C value of 2.3 pg. Putative triploids were found in two individuals from one collection site. The spatial distribution of genetic structure supports regionally based taxonomic descriptions of two varieties: speciosus in the North and macranthus in the South. This assessment of genetic structure and genome duplication describes an effective approach in developing baseline genetic information for restoration species, especially those species that may harbor complex taxonomy and polyploidy.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13740","usgsCitation":"Richardson, B.A., Massatti, R., Islam-Faridi, N., Johnson, S., and Kilkenny, F.F., 2023, Assessing population genomic structure and polyploidy: A crucial step for native plant restoration: Restoration Ecology, v. 31, no. 3, e13740, 11 p., https://doi.org/10.1111/rec.13740.","productDescription":"e13740, 11 p.","ipdsId":"IP-133482","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445480,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13740","text":"Publisher Index Page"},{"id":404872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, Oregon, South Dakota, Utah, Wyoming","otherGeospatial":"Idaho Batholith, Rocky Mountains, Snake River Plain, Uinta Mountains, Wasatch Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.61962890624999,\n 43.929549935614595\n ],\n [\n -117.70751953125,\n 41.983994270935625\n ],\n [\n -114.10400390625,\n 41.983994270935625\n ],\n [\n -114.08203125,\n 36.96744946416934\n ],\n [\n -107.16064453125,\n 37.00255267215955\n ],\n [\n -102.45849609375,\n 44.166444664458595\n ],\n [\n -111.533203125,\n 48.99463598353405\n ],\n [\n -117.61962890624999,\n 43.929549935614595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":848356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":848357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Islam-Faridi, Nurul","contributorId":294566,"corporation":false,"usgs":false,"family":"Islam-Faridi","given":"Nurul","email":"","affiliations":[{"id":63605,"text":"USDA Forest Service, Southern Research Station, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":848358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Skylar","contributorId":294567,"corporation":false,"usgs":false,"family":"Johnson","given":"Skylar","email":"","affiliations":[{"id":63608,"text":"USDA Forest Service, Rocky Mountain Research Station, Moscow, Idaho","active":true,"usgs":false}],"preferred":false,"id":848359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kilkenny, Francis F.","contributorId":191031,"corporation":false,"usgs":false,"family":"Kilkenny","given":"Francis","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":848360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256661,"text":"70256661 - 2023 - Valuing angling on reservoirs using benefit transfer","interactions":[],"lastModifiedDate":"2024-08-06T11:37:39.262289","indexId":"70256661","displayToPublicDate":"2022-08-04T06:35:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Valuing angling on reservoirs using benefit transfer","docAbstract":"Economic assessments are rarely applied to inland recreational fisheries for management purposes, especially when compared to fish, habitat, and creel assessments, yet economic assessments can provide critical information for management decisions. We provide a brief overview of economic value, key terminology, and existing economic techniques to address these issues. Benefit transfer, a technique used to measure economic value when an original analysis is not practicable, is conducted by drawing on existing estimates of economic value in similar contexts. We describe an application of benefit transfer to measure the economic value of several recreational fisheries in Nebraska, USA. We examine two approaches to benefit transfer—value transfer and function transfer—which we demonstrate estimate similar economic values for fishing site access but substantially different economic values for catch rate improvements at some reservoirs. We encourage agencies that are responsible for inland recreational fisheries management to consider economic assessment, especially benefit transfer, as a critical tool in the management toolbox.
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":70233402,"text":"70233402 - 2023 - Expert perspectives on global biodiversity loss and its drivers and impacts on people","interactions":[],"lastModifiedDate":"2023-03-15T14:18:08.878657","indexId":"70233402","displayToPublicDate":"2022-07-18T08:10:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Expert perspectives on global biodiversity loss and its drivers and impacts on people","docAbstract":"Despite substantial progress in understanding global biodiversity loss, major taxonomic and geographic knowledge gaps remain. Decision makers often rely on expert judgement to fill knowledge gaps, but are rarely able to engage with sufficiently large and diverse groups of specialists. To improve understanding of the perspectives of thousands of biodiversity experts worldwide, we conducted a survey and asked experts to focus on the taxa and freshwater, terrestrial, or marine ecosystem with which they are most familiar. We found several points of overwhelming consensus (for instance, multiple drivers of biodiversity loss interact synergistically) and important demographic and geographic differences in specialists’ perspectives and estimates. Experts from groups that are underrepresented in biodiversity science, including women and those from the Global South, recommended different priorities for conservation solutions, with less emphasis on acquiring new protected areas, and provided higher estimates of biodiversity loss and its impacts. This may in part be because they disproportionately study the most highly threatened taxa and habitats.
","language":"English","publisher":"Wiley","doi":"10.1002/fee.2536","usgsCitation":"Isbell, F., Balvanera, P., Mori, A.S., He, J., Bullock, J.M., Regmi, G.R., Seabloom, E.W., Ferrier, S., Sala, O.E., Guerrero-Ramirez, N.R., Tavella, J., Larkin, D.J., Schmid, B., Outhwaite, C.L., Pramua, P., Borer, E.T., Loreau, M., Omotoriogun, T.C., Obura, D.O., Anderson, M., Portales-Reyes, C., Kirkman, K., Vergara, P.M., Clark, A.T., Komatsu, K.J., Petchey, O.L., Weiskopf, S.R., Williams, L.J., Collins, S., Eisenhauer, N., Trisos, C.H., Renard, D., Wright, A.J., Tripathi, P., Cowles, J., Byrnes, J.E., Reich, P.B., Purvis, A., Sharip, Z., O’Connor, M.I., Kazanski, C.E., Haddad, N.M., Soto, E.H., Dee, L.E., Díaz, S., Zirbel, C., Avolio, M.L., Wang, S., Ma, Z., Liang, J., Farah, H.C., Johnson, J.A., Miller, B.W., Hautier, Y., Smith, M.D., Knops, J., Myers, B., Harmáčková, Z., Cortes, J., Harfoot, M., Gonzalez, A., Newbold, T., Oehri, J., Mazon, M., Dobbs, C., and Palmer, M., 2023, Expert perspectives on global biodiversity loss and its drivers and impacts on people: Frontiers in Ecology and the Environment, v. 21, no. 2, p. 94-103, https://doi.org/10.1002/fee.2536.","productDescription":"10 p.","startPage":"94","endPage":"103","ipdsId":"IP-124429","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":445488,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2536","text":"Publisher Index Page"},{"id":404110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Isbell, Forest 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Leventis Ornithological Research Institute, University of Jos, Nigeria.","active":true,"usgs":false}],"preferred":false,"id":846970,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Obura, David O.","contributorId":293432,"corporation":false,"usgs":false,"family":"Obura","given":"David","email":"","middleInitial":"O.","affiliations":[{"id":63285,"text":"Coastal Oceans Research and Development Indian Ocean (CORDIO) East Africa, 9 Kibaki Flats, Mombasa, Kenya","active":true,"usgs":false}],"preferred":false,"id":846971,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Anderson, Maggie","contributorId":293433,"corporation":false,"usgs":false,"family":"Anderson","given":"Maggie","email":"","affiliations":[{"id":63286,"text":"Department of Ecology, Evolution and Behavior, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":846972,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Portales-Reyes, 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Minnesota","active":true,"usgs":false}],"preferred":false,"id":847003,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Johnson, Justin Andrew","contributorId":293454,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin","email":"","middleInitial":"Andrew","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":847004,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":847006,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Hautier, 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H.","contributorId":293455,"corporation":false,"usgs":false,"family":"Knops","given":"Johannes M. 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,{"id":70239255,"text":"70239255 - 2023 - Testing whether adrenal steroids mediate phenotypic and physiologic effects of elevated salinity on larval tiger salamanders","interactions":[],"lastModifiedDate":"2023-01-18T17:43:01.231307","indexId":"70239255","displayToPublicDate":"2022-07-18T06:43:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2009,"text":"Integrative Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Testing whether adrenal steroids mediate phenotypic and physiologic effects of elevated salinity on larval tiger salamanders","docAbstract":"Salinity (sodium chloride, NaCl) from anthropogenic sources is a persistent contaminant that negatively affects freshwater taxa. Amphibians can be susceptible to salinity, but some species are innately or adaptively tolerant. Physiological mechanisms mediating tolerance to salinity are still unclear, but changes in osmoregulatory hormones such as corticosterone (CORT) and aldosterone (ALDO) are prime candidates. We exposed larval barred tiger salamanders (Ambystoma mavortium) to environmentally relevant NaCl treatments (<32–4000 mg·L−1) for 24 days to test effects on growth, survival, and waterborne CORT responses. Of those sampled, we also quantified waterborne ALDO from a subset. Using a glucocorticoid antagonist (RU486), we also experimentally suppressed CORT signaling of some larvae to determine if CORT mediates effects of salinity. There were no strong differences in survival among salinity treatments, but salinity reduced dry mass, snout–vent length, and body condition while increasing water content of larvae. High survival and sublethal effects demonstrated that salamanders were physiologically challenged but could tolerate the experimental concentrations. CORT signaling did not attenuate sublethal effects of salinity. Baseline and stress-induced (after an acute stressor, shaking) CORT were not influenced by salinity. ALDO was correlated with baseline CORT, suggesting it could be difficult to decouple the roles of CORT and ALDO. Future studies comparing ALDO and CORT responses of adaptively tolerant and previously unexposed populations could be beneficial to understand the roles of these hormones in tolerance to salinity. Nevertheless, our study enhances our understanding of the roles of corticosteroid hormones in mediating effects of a prominent anthropogenic stressor.
Megafires are creating severe conservation problems worldwide for wildlife that have obligate dependencies on plant species that are foundational but fire-intolerant. Wildfire-induced loss of native perennials and increases in exotic annual grasses threaten greater sage-grouse (GRSG, Centrocercus urophasianus) in its sagebrush steppe habitat in western North America. Post-fire restoration using herbicides, seeding, and planting of native perennials such as sagebrush are common, but there are few assessments of GRSG response to the treatments. We measured the presence of GRSG scat and modeled the probability of GRSG presence (PrGRSG-scat) in relation to variation in plot-level and landscape-level predictors, and land treatments, in an intensive, repeat sampling from 2017-2020 of 113,000-ha area burned in 2015 in the Soda Megafire (Oregon and Idaho, USA). GRSG scat was present in <200 of >8000 observations, as would be expected for a philopatric species (i.e., high fidelity to home site) returning to degraded habitat. PrGRSG-scat was positively associated with sagebrush presence at the plot-level and was positively related to elevation, lower-angle slopes, and proximity to sagebrush seedling outplant islands. The statistical significance of relationships of PrGRSG-scat to restoration treatments was marginal at best, with the largest effect being a positive response of PrGRSG-scat to pre-emergent herbicide sprayed to reduce exotic annual grasses. More time may be required for restored sagebrush steppe to meet GRSG needs or for GRSG to “adopt” the restored vegetation. Moreover, whereas scat is a convenient and non-invasive method to monitor GRSG, its post-fire scarcity weakens the strength of statistical inference on GRSG recovery patterns and response to restoration.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13758","usgsCitation":"Germino, M., Anthony, C.R., Kluender, C.R., Ellsworth, E.A., Moser, A.M., Applestein, C., and Fisk, M., 2023, Relationship of greater sage-grouse to natural and assisted recovery of key vegetation types following wildfire: Insights from scat: Restoration Ecology, v. 31, no. 3, e13758, 11 p., https://doi.org/10.1111/rec.13758.","productDescription":"e13758, 11 p.","ipdsId":"IP-133074","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":406584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Christopher R. 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":296314,"corporation":false,"usgs":true,"family":"Anthony","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellsworth, Ethan A.","contributorId":201653,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Ethan","email":"","middleInitial":"A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":851523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Ann M.","contributorId":206592,"corporation":false,"usgs":false,"family":"Moser","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisk, Matthew 0000-0002-2250-0116","orcid":"https://orcid.org/0000-0002-2250-0116","contributorId":205749,"corporation":false,"usgs":true,"family":"Fisk","given":"Matthew","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851526,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70233507,"text":"70233507 - 2023 - The Curiosity Rover’s exploration of Glen Torridon, Gale crater, Mars: An overview of the campaign and scientific results","interactions":[],"lastModifiedDate":"2023-01-18T16:00:08.410122","indexId":"70233507","displayToPublicDate":"2022-06-26T06:57:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"The Curiosity Rover’s exploration of Glen Torridon, Gale crater, Mars: An overview of the campaign and scientific results","docAbstract":"The Mars Science Laboratory rover, Curiosity, explored the clay mineral-bearing Glen Torridon region for one martian year between January 2019 and January 2021, including a short campaign onto the Greenheugh pediment. The Glen Torridon campaign sought to characterize the geology of the area, seek evidence of habitable environments, and document the onset of a potentially global climatic transition during the Hesperian era. Curiosity roved 5 km in total throughout Glen Torridon, from the Vera Rubin ridge to the northern margin of the Greenheugh pediment. Curiosity acquired samples from 11 drill holes during this campaign and conducted the first martian thermochemolytic-based organics detection experiment with the Sample Analysis at Mars instrument suite. The lowest elevations within Glen Torridon represent a continuation of lacustrine Murray formation deposits, but overlying widespread cross bedded sandstones indicate an interval of more energetic fluvial environments and prompted the definition of a new stratigraphic formation in the Mount Sharp group called the Carolyn Shoemaker formation. Glen Torridon hosts abundant phyllosilicates yet remains compositionally and mineralogically comparable to the rest of the Mount Sharp group. Glen Torridon samples have a great diversity and abundance of sulfur-bearing organic molecules, which are consistent with the presence of ancient refractory organic matter. The Glen Torridon region experienced heterogeneous diagenesis, with the most striking alteration occurring just below the Siccar Point unconformity at the Greenheugh pediment. Results from the pediment campaign show that the capping sandstone formed within the Stimson Hesperian aeolian sand sea that experienced seasonal variations in wind direction.
We present spatially distributed seasonal and annual surface mass balances of Wolverine Glacier, Alaska, from 2016 to 2020. Our approach accounts for the effects of ice emergence and firn compaction on surface elevation changes to resolve the spatial patterns in mass balance at 10 m scale. We present and compare three methods for estimating emergence velocities. Firn compaction was constrained by optimizing a firn model to fit three firn cores. Distributed mass balances showed good agreement with mass-balance stakes (RMSE = 0.67 m w.e., r = 0.99, n = 41) and ground-penetrating radar surveys (RMSE = 0.36 m w.e., r = 0.85, n = 9024). Fundamental differences in the distributions of seasonal balances highlight the importance of disparate physical processes, with anomalously high ablation rates observed in icefalls. Winter balances were found to be positively skewed when controlling for elevation, while summer and annual balances were negatively skewed. We show that only a small percent of the glacier surface represents ideal locations for mass-balance stake placement. Importantly, no suitable areas are found near the terminus or in elevation bands dominated by icefalls. These findings offer explanations for the often-needed geodetic calibrations of glaciological time series.
We integrate new high-resolution aeromagnetic data with seismic reflection data, well logs, satellite remote sensing, and field observations to provide a regional view of buried and exposed structures in the Southern Oklahoma Aulacogen and to assess their potential for future seismicity. Trends ranging from NW−SE to ∼E−W, peaking at 330° ± 4.5° and 280° ± 3°, dominate the magnetic lineaments of the Southern Oklahoma Aulacogen, reflecting basement contacts, dikes, and faults, including a previously unmapped ∼100-km-long basement fault, which is herein referred to as the Willow fault. The fault disrupts, truncates, and vertically offsets basement-related seismic reflectors and overlying Paleozoic strata up through the Permian reflectors. Surface deformation along the trend includes fault-parallel monoclinal folds, pervasive fractures, and fracture-hosted mud dikes in Permian evaporite units. These structures indicate a Permian or post-Permian reactivation of the fault. Along-strike, the Willow fault connects to the NW-trending, seismically active Meers Fault to comprise the ∼180-km-long Meers-Willow fault system, which potentially represents a major seismic hazard along the Southern Oklahoma Aulacogen. Fault slip potential analyses of the mapped potential fault traces show that seismic hazards are elevated where faults have steeper dips. Given some uncertainty in the regional stress state, we also show that hazards along the NW−SE to E−W trending faults vary considerably within the uncertainty range. We propose that the Meers-Willow fault system originated as a Cambrian aulacogen-scale, basement-rooted fault that was later reactivated as a left-lateral strike-slip fault (with ∼40 km displacement) during the late Paleozoic Ancestral Rocky Mountain orogeny, highlighting that lateral offset accommodated a major component of deformation during the orogen.
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":70239004,"text":"70239004 - 2023 - Morphology and paleohydrology of intracrater alluvial fans north of Hellas Basin, Mars","interactions":[],"lastModifiedDate":"2023-03-01T17:05:38.130379","indexId":"70239004","displayToPublicDate":"2022-06-18T07:28:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Morphology and paleohydrology of intracrater alluvial fans north of Hellas Basin, Mars","docAbstract":"Alluvial fans and sinuous ridges are both important records of the history of fluvial activity on Mars, and they often occur together. We present observations of alluvial fans, many of which exhibit inverted relief, in five craters in the region north of Hellas basin. The observed fans ranged in size from ~10 to 820 km2. We identified three primary fan surface morphology classes (chute, degraded, and Inverted) as well as many instances where the morphology transitions from proximal chutes (or, rarely, a cratered degraded surface) to distal ridges corresponding to increasing thermal inertia. Clear superposition relationships at contacts between adjacent fans are rarely observed, suggesting interfingered deposits and concurrent fan development across the region. Localized factors appear to influence fan development as there is no systematic trend in the azimuth range of fan location, size of fan or catchment, as well as the degree of crater filling. Water and sediment availability may be controlled by lithology differences and weather patterns. Many of the fans had a mismatch between catchment and fan volume, corresponding to significant amounts of erosion perhaps due to windblown stripping of fine sediment. However, several notable fans exhibited volumes greater than their corresponding catchments. This may reflect uncertainty in the accuracy of the estimated paleosurface, or it may indicate sediment contributions to the fan from outside the mapped catchment. Ridges, inferred to be the resistant remnants of fluvially transported deposits, were used to estimate flow magnitude in fan construction with computed discharges of 60–400 m3/s and corresponding supply rate runoff values ~1–20 mm/h. Acknowledging that width-derived discharge values may overestimate flow conditions due to the likelihood of amalgamated channel deposits, this quantification provides important climate constraints.
The upper range of runoff values and discharge rates are quite high, and would require either intense rain storms to generate immediate runoff, or longer-term snow accumulation and subsequent melt-runoff, potentially enhanced by rain-on-snow events. Minimum continuous formation time scales of less than a century are computed, but are incompatible with fan morphology (e.g., superposition relationships, embedded craters) and mechanisms to sustain flows. More realistic lower-limit fan construction times, accounting for modeled precipitation rates from the literature, are tens to hundreds of thousands of years. Fans were active in multiple events spanning the Hesperian to Amazonian periods, requiring transient climate conditions to support the fan aggradation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2022.115122","usgsCitation":"Anderson, R.B., Williams, R., Gullikson, A.L., and Nelson, W., 2023, Morphology and paleohydrology of intracrater alluvial fans north of Hellas Basin, Mars: Icarus, v. 394, 115122, 22 p., https://doi.org/10.1016/j.icarus.2022.115122.","productDescription":"115122, 22 p.","ipdsId":"IP-130189","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":445517,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2022.115122","text":"Publisher Index Page"},{"id":410790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Hellas Basin, Mars","volume":"394","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":859659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Rebecca","contributorId":195304,"corporation":false,"usgs":false,"family":"Williams","given":"Rebecca","affiliations":[],"preferred":false,"id":859660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":859661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, William","contributorId":300211,"corporation":false,"usgs":false,"family":"Nelson","given":"William","affiliations":[{"id":65046,"text":"U. of Hawaii","active":true,"usgs":false}],"preferred":false,"id":859662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232195,"text":"70232195 - 2023 - Management and environmental factors associated with simulated restoration seeding barriers in sagebrush steppe","interactions":[],"lastModifiedDate":"2023-02-14T14:37:56.099474","indexId":"70232195","displayToPublicDate":"2022-06-13T10:30:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Management and environmental factors associated with simulated restoration seeding barriers in sagebrush steppe","docAbstract":"Adverse weather conditions, particularly freezing or drought, are often associated with poor seedling establishment following restoration seeding in drylands like the Great Basin sagebrush steppe (USA). Management decisions such as planting date or seed source could improve restoration outcomes by reducing seedling exposure to weather barriers. We simulated the effects of management and environmental factors on seedling exposure to post-germination barriers for bottlebrush squirreltail (Elymus elymoides), Sandberg bluegrass (Poa secunda), and bluebunch wheatgrass (Pseudoroegneria spicata). We combined germination timing models with daily soil moisture and temperature estimates to calculate yearly germination favorability and post-germination freezing and drought barriers for three planting dates (Oct. 15, Nov. 15, and Mar. 15) and three seed sources or cultivars per species for 5000 sites in each of 40 yrs (water years 1980-2019). We tested the effects of site environmental variables (elevation, mean annual precipitation, heat load, and clay content) and management choices (seed source and planting date) on germination favorability and barrier occurrence (mean) and variability (coefficient of variation). Seedling exposure to barriers was strongly linked to management decisions in addition to site mean precipitation and elevation. Later fall plantings and seed sources with slower germination (lower mean germination favorability) were less likely to encounter freezing and drought barriers. These results suggest that management actions can play a role comparable to site environmental variables in reducing exposure of vulnerable seedlings to adverse weather conditions and subsequent effects on restoration outcomes.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.13722","usgsCitation":"Copeland, S., Bradford, J., Hardegree, S.P., Schlaepfer, D.R., and Badik, K.J., 2023, Management and environmental factors associated with simulated restoration seeding barriers in sagebrush steppe: Restoration Ecology, v. 31, no. 2, e13722, https://doi.org/10.1111/rec.13722.","productDescription":"e13722","ipdsId":"IP-135148","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445519,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13722","text":"Publisher Index Page"},{"id":402087,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah, Washington","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.158203125,\n 36.4566360115962\n ],\n [\n -114.47753906249999,\n 36.73888412439431\n ],\n [\n -112.8515625,\n 37.43997405227057\n ],\n [\n -112.54394531249999,\n 40.27952566881291\n ],\n [\n -111.4453125,\n 42.61779143282346\n ],\n [\n -111.62109375,\n 44.24519901522129\n ],\n [\n -112.236328125,\n 44.43377984606822\n ],\n [\n -112.939453125,\n 44.43377984606822\n ],\n [\n -114.82910156249999,\n 44.213709909702054\n ],\n [\n -116.01562499999999,\n 44.43377984606822\n ],\n [\n -117.24609374999999,\n 46.558860303117164\n ],\n [\n -118.740234375,\n 46.22545288226939\n ],\n [\n -121.59667968749999,\n 45.213003555993964\n ],\n [\n -121.86035156249999,\n 43.54854811091286\n ],\n [\n -121.1572265625,\n 41.04621681452063\n ],\n [\n -120.1904296875,\n 38.51378825951165\n ],\n [\n -117.158203125,\n 36.4566360115962\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Copeland, Stella M.","contributorId":196218,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella M.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":844529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":844530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardegree, Stuart P.","contributorId":195696,"corporation":false,"usgs":false,"family":"Hardegree","given":"Stuart","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":844531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":844532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Badik, Kevin J","contributorId":292423,"corporation":false,"usgs":false,"family":"Badik","given":"Kevin","email":"","middleInitial":"J","affiliations":[{"id":62901,"text":"The Nature Conservancy 1 E. 1st St. STE 1007, Reno, NV, 89501","active":true,"usgs":false}],"preferred":false,"id":844533,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241097,"text":"70241097 - 2023 - The dynamic floor of Yellowstone Lake, Wyoming, USA: The last 14 k.y. of hydrothermal explosions, venting, doming, and faulting","interactions":[],"lastModifiedDate":"2023-03-09T15:43:28.295993","indexId":"70241097","displayToPublicDate":"2022-06-07T09:35:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The dynamic floor of Yellowstone Lake, Wyoming, USA: The last 14 k.y. of hydrothermal explosions, venting, doming, and faulting","docAbstract":"Hydrothermal explosions are significant potential hazards in Yellowstone National Park, Wyoming, USA. The northern Yellowstone Lake area hosts the three largest hydrothermal explosion craters known on Earth empowered by the highest heat flow values in Yellowstone and active seismicity and deformation. Geological and geochemical studies of eighteen sublacustrine cores provide the first detailed synthesis of the age, sedimentary facies, and origin of multiple hydrothermal explosion deposits. New tephrochronology and radiocarbon results provide a four-dimensional view of recent geologic activity since recession at ca. 15–14.5 ka of the >1-km-thick Pinedale ice sheet.
The sedimentary record in Yellowstone Lake contains multiple hydrothermal explosion deposits ranging in age from ca. 13 ka to ~1860 CE. Hydrothermal explosions require a sudden drop in pressure resulting in rapid expansion of high-temperature fluids causing fragmentation, ejection, and crater formation; explosions may be initiated by seismicity, faulting, deformation, or rapid lake-level changes. Fallout and transport of ejecta produces distinct facies of subaqueous hydrothermal explosion deposits. Yellowstone hydrothermal systems are characterized by alkaline-Cl and/or vapor-dominated fluids that, respectively, produce alteration dominated by silica-smectite-chlorite or by kaolinite. Alkaline-Cl liquids flash to steam during hydrothermal explosions, producing much more energetic events than simple vapor expansion in vapor-dominated systems. Two enormous explosion events in Yellowstone Lake were triggered quite differently: Elliott’s Crater explosion resulted from a major seismic event (8 ka) that ruptured an impervious hydrothermal dome, whereas the Mary Bay explosion (13 ka) was triggered by a sudden drop in lake level stimulated by a seismic event, tsunami, and outlet channel erosion.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36190.1","usgsCitation":"Morgan Morzel, L.A., Shanks, W., Pierce, K., Iverson, N., Schiller, C., Brown, S., Zahajska, P., Cartier, R., Cash, R., Best, J., Whitlock, C., Fritz, S., Benzel, W., Lowers, H.A., Lovalvo, D.A., and Licciardi, J., 2023, The dynamic floor of Yellowstone Lake, Wyoming, USA: The last 14 k.y. of hydrothermal explosions, venting, doming, and faulting: Geological Society of America Bulletin, v. 135, no. 3-4, p. 547-574, https://doi.org/10.1130/B36190.1.","productDescription":"28 p.","startPage":"547","endPage":"574","ipdsId":"IP-129576","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445521,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/17431","text":"External Repository"},{"id":413912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.18656861391467,\n 44.275\n ],\n [\n -110.18656861391467,\n 44.569040399206585\n ],\n [\n -110.58843846750246,\n 44.569040399206585\n ],\n [\n -110.58843846750246,\n 44.275\n ],\n [\n -110.18656861391467,\n 44.275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"135","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan Morzel, Lisa Ann 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(retired)","active":true,"usgs":false}],"preferred":false,"id":866026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iverson, Nels","contributorId":140687,"corporation":false,"usgs":false,"family":"Iverson","given":"Nels","affiliations":[],"preferred":false,"id":866027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schiller, Christopher 0000-0002-0015-1795","orcid":"https://orcid.org/0000-0002-0015-1795","contributorId":302958,"corporation":false,"usgs":false,"family":"Schiller","given":"Christopher","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":866028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Sabrina R.","contributorId":222194,"corporation":false,"usgs":false,"family":"Brown","given":"Sabrina R.","affiliations":[],"preferred":false,"id":866029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zahajska, 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Center","active":true,"usgs":true}],"preferred":true,"id":866050,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lovalvo, D. A.","contributorId":72181,"corporation":false,"usgs":true,"family":"Lovalvo","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866051,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Licciardi, J. M.","contributorId":104721,"corporation":false,"usgs":true,"family":"Licciardi","given":"J. M.","affiliations":[],"preferred":false,"id":866052,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70234290,"text":"70234290 - 2023 - Experience preferences and place attachment of Minnesota wildlife management area hunters","interactions":[],"lastModifiedDate":"2023-08-23T16:32:19.868782","indexId":"70234290","displayToPublicDate":"2022-05-26T06:23:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Experience preferences and place attachment of Minnesota wildlife management area hunters","docAbstract":"Hunters in the United States are motivated to obtain and benefit from diverse experiences or experience preferences. Using a mail survey conducted during the 2015–2016 hunting season, we examined goal-oriented, introspective, and leadership experiences among hunters on Minnesota Department of Natural Resources’ Wildlife Management Area (WMAs). We used k-means cluster analysis to identify six clusters based on experience preferences. We defined these clusters using their ranked experience preferences and segregated them into categories of either participants or enthusiasts. These clusters showed differences in demographic characteristics, as well as support for management actions on WMAs. Hunters in clusters with lower importance ratings of experience preferences also reported less attachment to WMAs. High levels of support for management actions were closely related to high levels of place attachment. Using information gained from describing the heterogeneity of desired experiences, managers may be better able to understand their constituents and prioritize management goals to provide a variety of hunting experiences.
Spatiotemporal constraints for Late Cretaceous tectonism across the Colorado Plateau and southern Rocky Mountains (northern Arizona−New Mexico, USA) are interpreted in regards to Laramide orogenic mechanisms. Onset of Laramide arch development is estimated from cooling recorded in representative thermochronologic samples in a three-step process of initial forward models, secondary HeFTy inverse models with informed constraint boxes, and a custom script to statistically estimate timing of rapid cooling from inverse model results. Onset of Laramide basin development is interpreted from increased rates of tectonic subsidence. Onset estimates are compared to published estimates for Laramide timing, and together suggest tectonism commenced ca. 90 Ma in northwestern Arizona and progressed eastward with later onset in north-central New Mexico by ca. 75−70 Ma. The interpreted sweep of onset progressed at a rate of ∼50 km/m.y. and was approximately half the 100−150 km/m.y. rate estimated for Late Cretaceous Farallon-North America convergence during the same timeframe. Previous suggestions that the Laramide tectonic front progressed at a rate similar to convergence via basal traction are not supported by our results. We thereby suggest that (1) a plate margin end load established far field compression and that (2) sequential Laramide-style strain was facilitated by progressive weakening of North American lithosphere from the dehydrating Farallon flat slab. Results are compared to models of sweeping tectonism and magmatism in other parts of the Laramide foreland. Discussions of the utility of the custom script and the potential for stratigraphic constraints to represent only minimum onset estimates are also presented.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36245.1","usgsCitation":"Thacker, J., Karlstrom, K., Kelley, S., Crow, R.S., and Kendall, J., 2023, Late Cretaceous time-transgressive onset of Laramide arch exhumation and basin subsidence across northern Arizona−New Mexico, USA, and the role of a dehydrating Farallon flat slab: GSA Bulletin, v. 135, no. 1-2, p. 389-406, https://doi.org/10.1130/B36245.1.","productDescription":"18 p.","startPage":"389","endPage":"406","ipdsId":"IP-122202","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":445525,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/gsab.s.19362371","text":"External Repository"},{"id":401533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.818359375,\n 33.90689555128866\n ],\n [\n -103.447265625,\n 33.90689555128866\n ],\n [\n -103.447265625,\n 37.020098201368114\n ],\n [\n -113.818359375,\n 37.020098201368114\n ],\n [\n -113.818359375,\n 33.90689555128866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"135","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2022-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Thacker, Jacob","contributorId":292189,"corporation":false,"usgs":false,"family":"Thacker","given":"Jacob","affiliations":[{"id":62838,"text":"NMBG","active":true,"usgs":false}],"preferred":false,"id":844026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":292190,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":844027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Shari","contributorId":292191,"corporation":false,"usgs":false,"family":"Kelley","given":"Shari","affiliations":[{"id":62838,"text":"NMBG","active":true,"usgs":false}],"preferred":false,"id":844028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":844029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, Jerry","contributorId":292192,"corporation":false,"usgs":false,"family":"Kendall","given":"Jerry","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":844030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236814,"text":"70236814 - 2023 - Spatially averaged stratigraphic data to inform watershed sediment routing: An example from the Mid-Atlantic United States","interactions":[],"lastModifiedDate":"2023-01-18T16:42:41.793618","indexId":"70236814","displayToPublicDate":"2022-05-05T08:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Spatially averaged stratigraphic data to inform watershed sediment routing: An example from the Mid-Atlantic United States","docAbstract":"New and previously published stratigraphic data define Holocene to present sediment storage time scales for Mid-Atlantic river corridors. Empirical distributions of deposit ages and thicknesses were randomly sampled to create synthetic age-depth records. Deposits predating European settlement accumulated at a (median) rate of 0.06 cm yr−1, range from ∼18,000 to 225 yr old, and represent 39% (median) of the total accumulation. Sediments deposited from 1750 to 1950 (“legacy sediments”) accumulated at a (median) rate of 0.39 cm yr−1 and comprise 47% (median) of the total, while “modern sediments” (1950−present) represent 11% of the total and accumulated at a (median) rate of 0.25 cm yr−1. Synthetic stratigraphic sequences, recast as age distributions for the presettlement period, in 1900 A.D., and at present, reflect rapid postsettlement alluviation, with enhanced preservation of younger sediments related to postsettlement watershed disturbance. An averaged present age distribution for vertically accreted sediment has modal, median, and mean ages of 190, 230, and 630 yr, reflecting the predominance of stored legacy sediments and the influence of relatively few, much older early Holocene deposits. The present age distribution, if represented by an exponential approximation (mean age ∼300 yr), and naively assumed to represent steady-state conditions, implies median sediment travel times on the order of centuries for travel distances greater than ∼100 km. The percentage of sediment reaching the watershed outlet in 30 yr (a reasonable time horizon to achieve watershed restoration efficacy) is ∼60% for a distance of 50 km, but this decreases to <20% for distances greater than 200 km. Age distributions, evaluated through time, not only encapsulate the history of sediment storage, but they also provide data for calibrating watershed-scale sediment-routing models over geological time scales.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36282.1","usgsCitation":"Pizzuto, J., Skalak, K., Benthem, A.J., Mahan, S.A., Sherif, M., and Pearson, A., 2023, Spatially averaged stratigraphic data to inform watershed sediment routing: An example from the Mid-Atlantic United States: GSA Bulletin, v. 135, no. 1-2, p. 249-270, https://doi.org/10.1130/B36282.1.","productDescription":"22 p.","startPage":"249","endPage":"270","ipdsId":"IP-132540","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":445529,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36282.1","text":"Publisher Index Page"},{"id":406955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.57373046875,\n 36.57142382346277\n ],\n [\n -75.069580078125,\n 36.57142382346277\n ],\n [\n -75.069580078125,\n 40.01078714046552\n ],\n [\n -80.57373046875,\n 40.01078714046552\n ],\n [\n -80.57373046875,\n 36.57142382346277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"135","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pizzuto, James","contributorId":207115,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":852245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":852246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":852248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherif, Mahmoud 0000-0002-6504-0439","orcid":"https://orcid.org/0000-0002-6504-0439","contributorId":296698,"corporation":false,"usgs":false,"family":"Sherif","given":"Mahmoud","email":"","affiliations":[{"id":64145,"text":"Tanta University","active":true,"usgs":false}],"preferred":false,"id":852249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Adam 0000-0002-6719-9750","orcid":"https://orcid.org/0000-0002-6719-9750","contributorId":296699,"corporation":false,"usgs":false,"family":"Pearson","given":"Adam","email":"","affiliations":[{"id":64146,"text":"SUNY, Postdam","active":true,"usgs":false}],"preferred":false,"id":852250,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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