On 5 April 2024, 10:23 a.m. local time, a moment magnitude 4.8 earthquake struck Tewksbury Township, New Jersey, about 65 km west of New York City. Millions of people from Virginia to Maine and beyond felt the ground shaking, resulting in the largest number (>180,000) of U.S. Geological Survey (USGS) “Did You Feel It?” reports of any earthquake. A team deployed by the Geotechnical Extreme Events Reconnaissance Association and the National Institute of Standards and Technology documented structural and nonstructural damage, including substantial damage to a historic masonry building in Lebanon, New Jersey. The USGS National Earthquake Information Center reported a focal depth of about 5 km, consistent with a lack of signal in Interferometric Synthetic Aperture Radar data. The focal mechanism solution is strike slip with a substantial thrust component. Neither mechanism’s nodal plane is parallel to the primary northeast trend of geologic discontinuities and mapped faults in the region, including the Ramapo fault. However, many of the relocated aftershocks, for which locations were augmented by temporary seismic deployments, form a cluster that parallels the general northeast trend of the faults. The aftershocks lie near the Tewksbury fault, north of the Ramapo fault.
Objective
Long-term standardized monitoring programs are fundamental to assessing how fish populations respond to anthropogenic stressors. Standardized monitoring programs may need to adopt new methods to adapt to rapid environmental changes associated with a changing climate. In the upper Yellowstone River, Montana, biologists have used a standardized, mark-recapture monitoring protocol to annually estimate the abundance of trout since 1978 to assess population status and trends. However, within the last two decades, climate change has caused changes in discharge timing that have prevented standardized monitoring from occurring annually.
Methods
We investigated the feasibility of using two analytical methods, N-mixture models and mean capture probability, for estimating the abundance of three trout species in the upper Yellowstone River; these methods allow abundance to be estimated when a mark-recapture estimate cannot be obtained due to hydrologic conditions.
Result
When compared to abundance estimates from mark-recapture methods, N-mixture models most often resulted in negatively biased abundance estimates while mean capture probability analyses resulted in positively biased abundance estimates. Additionally, N-mixture models produced negatively biased estimates compared to true abundance values from simulated datasets. Bias in N-mixture model estimates was caused by poor model fit and variation in capture probability. Bias in mean capture probability estimates was caused by heterogeneity in capture probability that was not accounted for in the models.
Conclusion
N-mixture models and mean capture probability are not viable alternatives for estimating abundance in the upper Yellowstone River. Thus, exploring additional adaptations to sampling methodologies and analytical approaches, including models that require individually marked fish, will be valuable for this system. Climate change will undoubtedly necessitate changes to standardized sampling methods throughout the world; thus, developing alternative sampling and analytical methods will be important for maintaining long-term datasets.
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Elk (Cervus canadensis) ranged widely across diverse ecoregions in North America prior to European settlement and subsequent eastern extirpation. Most habitat selection studies have occurred within their contemporary western range, even after eastern reintroductions began. As habitat selection can vary by geographic location, available cover, season, and diel period, it is important to understand how a non-migratory, reintroduced population in northern Wisconsin, USA, is limited by the lack of variation in topography, elevation, and vegetation. We tested scale-dependent habitat selection on 79 adult elk from 2017 to 2020 using resource selection functions across temporal (i.e., seasonal) and spatial scales (i.e., landscape and home range). 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This study provides insight into the complexity of hierarchical decision-making, such as how risky habitat features and land cover type influence habitat selection differently across seasons and spatial scales, influencing the decision-making of elk. Scale-dependent behavior is crucial to understand within specific geographic regions, as these decisions scale up to influence population dynamics.
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]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spangler, Leland R. 0000-0002-2223-7047","orcid":"https://orcid.org/0000-0002-2223-7047","contributorId":295310,"corporation":false,"usgs":true,"family":"Spangler","given":"Leland","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259803,"text":"70259803 - 2024 - Effects of recent wildfires on giant sequoia groves were anomalous at millennial timescales: a response to Hanson et al.","interactions":[],"lastModifiedDate":"2024-10-25T15:30:37.48096","indexId":"70259803","displayToPublicDate":"2024-09-30T10:23:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of recent wildfires on giant sequoia groves were anomalous at millennial timescales: a response to Hanson et al.","docAbstract":"The giant sequoia (Sequoiadendron giganteum [Lindley] Buchholz) of California’s Sierra Nevada recently suffered historically unprecedented wildfires that killed an estimated 13–19% of seed-bearing sequoias across their native range. Hanson et al. recently sought to characterize post-fire reproduction in two severely burned sequoia groves, but their two papers (1) inaccurately portrayed sequoia fire ecology, (2) had methodological flaws, and (3) without supporting evidence, questioned efforts to prevent large, stand-replacing wildfires and to plant sequoia seedlings in areas of low post-fire regeneration.
Our analyses and literature review contradict many of Hanson et al.’s claims and implications. First, evidence indicates that preceding the recent wildfires, large, contiguous areas (>10 to >100 ha) of fire severe enough to kill most sequoias had been absent for at least a millennium, and probably much longer. The ancient sequoia fire regime was instead overwhelmingly dominated by surface fires in which most forest area burned at low or moderate severity interspersed with small forest gaps (hundredths of a hectare to a few hectares) created by local patches of higher-severity fire, within which most mature sequoias survived and most successful reproduction occurred. Prescribed fires have typically mimicked ancient fires and induced adequate sequoia regeneration. In contrast, in some extensive areas where recent wildfires killed most (or all) mature sequoias, regeneration has been well below historical levels, threatening a net loss of sequoia grove area. Methodologically, Hanson et al. reported sixfold greater post-fire sequoia seedling densities than others who sampled the same area; our assessments suggest their higher densities may have largely resulted from plot-placement bias. Finally, Hanson et al.’s comparisons of median seedling densities were inappropriate.
Hanson et al. questioned efforts to prevent large, high-severity wildfires in sequoia groves but did not acknowledge (1) that past fires sustained sequoia reproduction without the deaths of large fractions of mature sequoias, (2) the anomalous effects of recent wildfires, and (3) the acute conservation threat of losing large fractions of seed-bearing sequoias. Hanson et al.’s further implication, made without supporting evidence, that decisions to plant sequoia seedlings may be unwarranted ignores research showing that recent post-wildfire regeneration has often been well below historical levels.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-024-00316-5","usgsCitation":"Stephenson, N.L., Soderberg, D.N., Flickinger, J.A., Caprio, A., and Das, A., 2024, Effects of recent wildfires on giant sequoia groves were anomalous at millennial timescales: a response to Hanson et al.: Fire Ecology, v. 20, 89, 24 p., https://doi.org/10.1186/s42408-024-00316-5.","productDescription":"89, 24 p.","ipdsId":"IP-168419","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466888,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-024-00316-5","text":"Publisher Index Page"},{"id":463193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park, Sequoia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.83705439798453,\n 37.25363007777847\n ],\n [\n -118.91001077861513,\n 36.88691192471105\n ],\n [\n -119.31285688035645,\n 36.91044907614862\n ],\n [\n -118.83750177290662,\n 36.304901464389204\n ],\n [\n -118.50716467687376,\n 36.25484105374991\n ],\n [\n -118.20265108815596,\n 36.40564230741613\n ],\n [\n -118.32953175012142,\n 37.09692155858474\n ],\n [\n -118.83705439798453,\n 37.25363007777847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2024-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flickinger, Joshua A.","contributorId":345490,"corporation":false,"usgs":false,"family":"Flickinger","given":"Joshua","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":916761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":916762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916763,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259343,"text":"70259343 - 2024 - Brodifacoum isomer formulations with potentially lower risk to non-target wildlife","interactions":[],"lastModifiedDate":"2024-10-04T14:54:04.241083","indexId":"70259343","displayToPublicDate":"2024-09-30T09:51:11","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Brodifacoum isomer formulations with potentially lower risk to non-target wildlife","docAbstract":"Anticoagulant rodenticides (ARs) have a long history of successful use in controlling vertebrate pest and invasive species. Despite regulatory efforts to mitigate risk, non-target wildlife may be unintentionally exposed to ARs through various trophic pathways, and depending on dose, exposure can result in adverse effects and mortality. Second-generation ARs (SGARs) are mixtures of cis- and trans-diastereoisomers (each including two stereoisomers) that exhibit similar in vitro inhibitory potency for vitamin K epoxide reductase in rodent microsomal assay systems. Some diastereoisomers and hence some individual stereoisomers are preferentially metabolized in vivo, resulting in residue patterns in exposed target rodents that differ from the bait formulations. Use of less persistent but equally potent SGAR stereoisomers in baits results in lower tissue residues in target rodents, which in turn constitutes lower risk when consumed by non-target wildlife. The toxicity of two brodifacoum formulations with stereoisomers having markedly different elimination half-lives in rats (Formulation A containing the two least persistent stereoisomers, and Formulation B containing the most persistent stereoisomer) were tested in a 7-day dietary feeding trial with American kestrels. Based on previous kestrel studies using commercially available brodifacoum, Formulations A and B were each provided at three dietary concentrations (0.05, 0.1 and 0.5 µg/g diet, 4 kestrels/dose level) predicted to cause a range of toxicity. Compared to unexposed controls, all kestrels that ingested 0.5 µg/g diet of the longer-lived Formulation B exhibited extreme coagulopathy. In contrast, the 0.5 µg/g diet of the shorter-lived Formulation A yielded only a modest lengthening of clotting time in just 1 of the 4 exposed kestrels. These findings support the notion that SGAR baits enriched with less persistent stereoisomers may pose lower hazard and ultimately risk to non-target wildlife.
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The U.S. Geological Survey visited 28 of these lakes and impoundments at 14 single and multiple waterbody systems to evaluate their appropriateness for characterizing drought. The data collection and computation methods at each system were then reviewed and checked for consistency. The types of historical monthly data available varied by system and included water surface elevation, depth of water below the spillway, volume, or reservoir capacity (percent full). For this analysis, water surface elevations and reservoir capacities were converted to volumes to assess the interannual variability in lake volumes. As a second level of assessment, analysis was also done on water surface elevation variability. Systems that did not have enough differentiation in monthly values between lake volume or water surface elevations to clearly demarcate drought levels were identified as unsuitable for use in the drought index for that month. This report discusses the limitations of using the reviewed lakes and impoundments as a drought index, as well as a list of best practices for data collection techniques to improve the confidence and reliability of the data collected.
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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Regional invasive species & climate change research to practice paper","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of Massachusetts Amherst","doi":"10.7275/hd7v-h449","usgsCitation":"Buonaiuto, D., Barker Plotkin, A., Bois, S., Brincka, M., Colberg, E., Colleran, B., and Morelli, T.L., 2024, Where there's a when there's a way. Shifting phenology & windows of opportunity for control, in Regional invasive species & climate change research to practice paper, 2 p., https://doi.org/10.7275/hd7v-h449.","productDescription":"2 p.","ipdsId":"IP-167302","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":486064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Buonaiuto, Dan","contributorId":355377,"corporation":false,"usgs":false,"family":"Buonaiuto","given":"Dan","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker Plotkin, Audrey","contributorId":292378,"corporation":false,"usgs":false,"family":"Barker Plotkin","given":"Audrey","email":"","affiliations":[{"id":37315,"text":"Harvard","active":true,"usgs":false}],"preferred":false,"id":937185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bois, Sarah","contributorId":355378,"corporation":false,"usgs":false,"family":"Bois","given":"Sarah","affiliations":[{"id":84736,"text":"Linda Loring Nature Foundation","active":true,"usgs":false}],"preferred":false,"id":937186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brincka, Matthew","contributorId":355380,"corporation":false,"usgs":false,"family":"Brincka","given":"Matthew","affiliations":[{"id":84737,"text":"New York State Parks","active":true,"usgs":false}],"preferred":false,"id":937187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colberg, Eva","contributorId":355381,"corporation":false,"usgs":false,"family":"Colberg","given":"Eva","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":937188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colleran, Brian","contributorId":355383,"corporation":false,"usgs":false,"family":"Colleran","given":"Brian","affiliations":[],"preferred":false,"id":937189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937190,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261523,"text":"70261523 - 2024 - Studies to assess natural resource recovery and evaluate monitoring methods for restored bottomland hardwood forests","interactions":[],"lastModifiedDate":"2024-12-13T15:14:44.595886","indexId":"70261523","displayToPublicDate":"2024-09-30T09:10:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Studies to assess natural resource recovery and evaluate monitoring methods for restored bottomland hardwood forests","docAbstract":"The Natural Resource Damage Assessment and Restoration process assesses natural resource injury due to oil or chemical spills and calculates the damages to compensate the public for those injuries. Ecological restoration provides a means for recovering resources injured or lost due to contamination from oil or chemical spills by restoring the injured site after remediation, or acquiring or reconstructing equivalent resources off site to replace those lost due to the spill. In the case of restored forests, once restoration is implemented, monitoring of forest ecology helps keep recovery on track, with the maturation of forest vegetation, recovered soil conditions, and development of microbial, fungal, and faunal communities, necessary for ecologically functioning forests. This series of papers focuses on applying methods for monitoring restoration progress in forest vegetation and soils, and amphibian, avian, and mammalian communities, assessing strengths and weaknesses of different methods, and evaluating levels of effort needed to obtain accurate indications of forest ecological condition.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry (SETAC)","doi":"10.1002/ieam.4996","usgsCitation":"Hooper, M.J., Struckhoff, M., Isanhart, J.P., Albers, J.L., Grabner, K., Green, N., Kunz, B.K., McDonald, M.V., and West, B.M., 2024, Studies to assess natural resource recovery and evaluate monitoring methods for restored bottomland hardwood forests: Integrated Environmental Assessment and Management, v. 20, no. 6, p. 1912-1916, https://doi.org/10.1002/ieam.4996.","productDescription":"5 p.","startPage":"1912","endPage":"1916","ipdsId":"IP-170053","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4996","text":"Publisher Index Page"},{"id":465111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooper, Michael J.","contributorId":344824,"corporation":false,"usgs":false,"family":"Hooper","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":78382,"text":"formerly Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":920885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew 0000-0002-4911-9956","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":201512,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isanhart, John P.","contributorId":201904,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36287,"text":"USDOI Office of Restoration and Damage Assessment, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":920887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grabner, Keith 0000-0003-0788-7751 kgrabner@usgs.gov","orcid":"https://orcid.org/0000-0003-0788-7751","contributorId":217705,"corporation":false,"usgs":true,"family":"Grabner","given":"Keith","email":"kgrabner@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Nicholas S.","contributorId":301918,"corporation":false,"usgs":false,"family":"Green","given":"Nicholas S.","affiliations":[{"id":65362,"text":"Kennesaw State University","active":true,"usgs":false}],"preferred":false,"id":920890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McDonald, M. Victoria","contributorId":344823,"corporation":false,"usgs":false,"family":"McDonald","given":"M.","email":"","middleInitial":"Victoria","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":920892,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920893,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259545,"text":"70259545 - 2024 - Statistical analysis of Lake Tahoe secchi depth data","interactions":[],"lastModifiedDate":"2024-10-11T13:57:27.121649","indexId":"70259545","displayToPublicDate":"2024-09-30T08:52:09","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Statistical analysis of Lake Tahoe secchi depth data","docAbstract":"Secchi depth measurements in Lake Tahoe have been collected at a Long-Term Profile (LTP) monitoring site since 1968. Periodic updates in Secchi trend analysis are needed to understand changes in the long-term record, changes in seasonal pattern, and to provide insight into the progress of restoration efforts in improving lake clarity. As such, this analysis is intended to evaluate the long-term and seasonal clarity conditions by updating the analysis by Jassby and others, (1999) and to demonstrate the use of statistical measures as metrics for comparing ongoing monitoring data (Watanabe, 2024).
","language":"English","publisher":"Tahoe Science Advisory Council","usgsCitation":"Naranjo, R.C., 2024, Statistical analysis of Lake Tahoe secchi depth data, 16 p.","productDescription":"16 p.","ipdsId":"IP-168331","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":462818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.tahoesciencecouncil.org/project-list","linkFileType":{"id":5,"text":"html"}},{"id":462826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.11446470824197,\n 39.21366571450457\n ],\n [\n -120.16965242081064,\n 39.102249370483676\n ],\n [\n -120.08208791686843,\n 38.932606385440636\n ],\n [\n -119.94227904502787,\n 38.933750744029425\n ],\n [\n -119.93050566634669,\n 39.25014399290501\n ],\n [\n -120.0666353573491,\n 39.24444253042536\n ],\n [\n -120.11446470824197,\n 39.21366571450457\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259407,"text":"70259407 - 2024 - Microplastic and associated black particles from road-tire wear: Implications for radiative effects across the cryosphere and in the atmosphere","interactions":[],"lastModifiedDate":"2024-10-07T11:57:36.115271","indexId":"70259407","displayToPublicDate":"2024-09-30T06:55:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18737,"text":"JGR - Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Microplastic and associated black particles from road-tire wear: Implications for radiative effects across the cryosphere and in the atmosphere","docAbstract":"The environmental effects of airborne micro- and nano-size plastic particles are poorly understood. Microscopy and chemical analyses of atmospherically deposited particles on snow surfaces at high elevation (2,865–3,690 m) in the Upper Colorado River basin (UCRB; Colorado Rocky Mountains) revealed the presence of black substances intimately associated with microplastic fibers, particles interpreted to have originated as tire matter. Identical and similar particles occur in shredded tires and road-surface samples. The substance responsible for the black color of all tires is carbon black, a graphitic light-absorbing tire additive produced by hydrocarbon combustion that homogeneously permeates the mixture of tire polymers and other additives. Such black tire matter may thus exert radiative effects closely similar to those of black carbon. The presence in snow of many organic compound types common to tires, measured by two-dimensional gas chromatography, suggests that atmospherically deposited black road-tire-wear matter is among the light-absorbing particulates that advance the onset and rate of snow melt in the UCRB. The mass of road-tire-wear particles shed from vehicles may be estimated by multiplying measured amounts of eroded tire-per-distance traveled by vehicular distances. Under a combination of measurements and assumptions about the amounts and radiative properties of atmospheric tire-wear particles, the radiative effects of these particles might add about 10%–30% to those effects from black carbon, an estimate ripe for revision. On regional and global scales, the amounts and effects of emitted and deposited tire-wear matter likely vary by factors of geographic source, transport pathway, and depositional setting.
Land use influences surface water quality, often alleviating stoichiometric constraints on primary production and altering biogeochemical cycling. However, land use effects on nutrient content and potential trace metal accumulation in aquatic plants remain unclear, and high concentrations of metals and altered nutrient ratios could impact the health of herbivores and detritivores. We tested for land use effects on nutrient and trace metal accumulation in a widespread riverine macrophyte, Podostemum ceratophyllum, collected from 91 locations from Georgia to Maine, USA in 2014–2016. We quantified carbon (C), nitrogen (N), phosphorus (P), their molar and mass ratios, N and C stable isotopes, and 17 additional elements in dried plants collected from each location to estimate relationships between plant tissue content and watershed land use, which we quantified as agriculture, forest, and development. Decreasing forest cover was correlated with increasing δ15N, Mg, Mn, and P in Podostemum tissue. Increasing urban development was correlated with increasing δ15N, Mg and P, while increasing agriculture was correlated with a decrease in C: P and the concentrations of multiple metals, along with increases in P, Mg and δ15N. Decreases in ratios of N: P and C:P with increasing agriculture and urban development in the watershed indicate more rapid P storage relative to C and N in plant tissue, and increased resource quality of the plant to consumers in these watersheds. We also observed potentially toxic dietary concentrations of some trace metals (B, Cd, Tl, Zn) in plant tissue which could be related to the plant's natural herbivory defense system or to land use. We conclude that land use influences the elemental composition of P. ceratophyllum, and potentially the quality and toxicity of the plant to herbivores and detritivores in eastern North American rivers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.176118","usgsCitation":"Wood, J., Dietterich, L.H., Leasure, D.R., Jantzi, S., Maddox, T., Wenger, S., Skaggs, J., Rosemond, A.D., and Freeman, M., 2024, Elemental composition and potential toxicity of the riverine macrophyte Podostemum ceratophyllum Michx. reflects land use in eastern North America: Science of the Total Environment, v. 954, 176118, 14 p., https://doi.org/10.1016/j.scitotenv.2024.176118.","productDescription":"176118, 14 p.","ipdsId":"IP-144142","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.176118","text":"Publisher Index Page"},{"id":465144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -69.54256609727352,\n 43.88143574292508\n ],\n [\n -70.647563027507,\n 44.26997672061174\n ],\n [\n -73.8976845593064,\n 43.177908703325954\n ],\n [\n -74.07002050845693,\n 40.99340531964512\n ],\n [\n -72.05924526688266,\n 41.33951624483788\n ],\n [\n -70.23920091350011,\n 41.51880370179515\n ],\n [\n -69.54256609727352,\n 43.88143574292508\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.53957439072548,\n 37.96935046600281\n ],\n [\n -80.27133242619323,\n 38.11626273373102\n ],\n [\n -85.94943603496614,\n 34.90130349851556\n ],\n [\n -85.30759808373625,\n 33.510279887546815\n ],\n [\n -82.4448300394111,\n 34.00184838830782\n ],\n [\n -77.9718785239481,\n 36.58735830390653\n ],\n [\n -77.87536535646905,\n 37.23153468843074\n ],\n [\n -79.53957439072548,\n 37.96935046600281\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"954","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, James","contributorId":174400,"corporation":false,"usgs":false,"family":"Wood","given":"James","affiliations":[],"preferred":false,"id":921060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Lee H.","contributorId":333170,"corporation":false,"usgs":false,"family":"Dietterich","given":"Lee","email":"","middleInitial":"H.","affiliations":[{"id":79766,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523; US Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS 39180","active":true,"usgs":false}],"preferred":false,"id":921061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":921062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jantzi, Sarah","contributorId":347214,"corporation":false,"usgs":false,"family":"Jantzi","given":"Sarah","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maddox, Thomas","contributorId":347217,"corporation":false,"usgs":false,"family":"Maddox","given":"Thomas","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":921065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skaggs, Jonathan","contributorId":260315,"corporation":false,"usgs":false,"family":"Skaggs","given":"Jonathan","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosemond, Amy D.","contributorId":279630,"corporation":false,"usgs":false,"family":"Rosemond","given":"Amy","email":"","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":921067,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":921068,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259510,"text":"70259510 - 2024 - Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA","interactions":[],"lastModifiedDate":"2024-10-10T13:46:25.073316","indexId":"70259510","displayToPublicDate":"2024-09-28T08:40:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7597,"text":"Toxics","active":true,"publicationSubtype":{"id":10}},"title":"Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA","docAbstract":"The goal of this study was to assess health of male Common Carp (carp, Cyprinus carpio) at four sites with a wide range in environmental organic contaminant (EOC) concentrations and water temperatures in Lake Mead National Recreation Area NV/AZ, US, and the potential influence of regional drought. Histological and reproductive biomarkers were measured in 17–30 carp at four sites and 130 EOCs in water per site were analyzed using passive samplers in 2010. Wide ranges among sites were noted in total EOC concentrations (>10Xs) and water temperature/degree days (10Xs). In 2007/08, total polychlorinated biphenyls (tPCBs) in fish whole bodies from Willow Beach (WB) in the free-flowing Colorado River below Hoover Dam were clearly higher than at the other sites. This was most likely due to longer exposures in colder water (12–14 °C) and fish there having the longest lifespan (up to 54 years) for carp reported in the Colorado River Basin. Calculated estrogenicity in water exceeded long-term, environmentally safe criteria of 0.1–0.4 ng/L by one to three orders of magnitude at all sites except the reference site. Low ecological screening values for four contaminants of emerging concern (CEC) in water were exceeded for one CEC in the reference site, two in WB and Las Vegas Bay and three in the most contaminated site LVW. Fish health biomarkers in WB carp had 25% lower liver glycogen, 10Xs higher testicular pigmented cell aggregates and higher sperm abnormalities than the reference site. Sperm from LVW fish also had significantly higher fragmentation of DNA, lower motility and testis had lower percent of spermatozoa, all of which can impair reproduction. Projections from a 3D water quality model performed for WB showed that EOC concentrations due to prolonged regional drought and reduced water levels could increase as high as 135%. Water temperatures by late 21st century are predicted to rise between 0.7 and 2.1 °C that could increase eutrophication, algal blooms, spread disease and decrease dissolved oxygen over 5%.
","language":"English","publisher":"MDPI","doi":"10.3390/toxics12100708","usgsCitation":"Goodbred, S.L., Patino, R., Alvarez, D.A., Johnson, D., Hannoun, D., Echols, K.R., and Jenkins, J., 2024, Fish health altered by contaminants and low water temperatures compounded by prolonged regional drought in the Lower Colorado River Basin, USA: Toxics, v. 12, no. 10, 708, 29 p., https://doi.org/10.3390/toxics12100708.","productDescription":"708, 29 p.","ipdsId":"IP-157522","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxics12100708","text":"Publisher Index Page"},{"id":462787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Mead National Recreation Area, Lower Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.31285412120533,\n 36.6\n ],\n [\n -115.31285412120533,\n 35.75\n ],\n [\n -113.64554275683693,\n 35.75\n ],\n [\n -113.64554275683693,\n 36.6\n ],\n [\n -115.31285412120533,\n 36.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodbred, Steven L 0009-0006-1165-3295 sgoodbred@usgs.gov","orcid":"https://orcid.org/0009-0006-1165-3295","contributorId":345073,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":915546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":205688,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","affiliations":[{"id":37106,"text":"Cherokee Nation","active":true,"usgs":false}],"preferred":false,"id":915548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannoun, Deena 0000-0003-3928-4023","orcid":"https://orcid.org/0000-0003-3928-4023","contributorId":345075,"corporation":false,"usgs":false,"family":"Hannoun","given":"Deena","email":"","affiliations":[{"id":35387,"text":"Southern Nevada Water Authority","active":true,"usgs":false}],"preferred":false,"id":915549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":915551,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259783,"text":"70259783 - 2024 - The Khonkho tephra: A large-magnitude volcanic eruption coincided with the rise of Tiwanaku in the Andes","interactions":[],"lastModifiedDate":"2024-11-25T14:22:03.142574","indexId":"70259783","displayToPublicDate":"2024-09-28T07:15:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"The Khonkho tephra: A large-magnitude volcanic eruption coincided with the rise of Tiwanaku in the Andes","docAbstract":"We report a tephra deposit in the southern Lake Titicaca Basin, Bolivia, which was deposited by a major, previously unrecognized eruption sometime between AD 400 and 720. Archaeological data suggest these centuries were characterized by a substantial community migration to Tiwanaku, where social interaction networks gave birth to one of the Andes’ first large complex societies. Here we provide an initial characterization of this tephra, based on samples from the archaeological site Khonkho Wankane. The same tephra is present at two other archaeological sites in the region. Given the great distance to the nearest active volcano, this tephra layer likely derives from a large-magnitude, Late-Holocene explosive eruption of a Central Andean volcano. We suggest that this major event be included in the human history of the region, given its inferred magnitude and wide dispersal area. Future research could confirm the Khonkho tephra at other sites, identify the source volcano, estimate its volume, and more precisely date the eruption.
","language":"English","publisher":"Sage Journals","doi":"10.1177/09596836241275000","usgsCitation":"Marsh, E.J., Harpel, C., and Damby, D., 2024, The Khonkho tephra: A large-magnitude volcanic eruption coincided with the rise of Tiwanaku in the Andes: The Holocene, v. 34, no. 12, p. 1865-1874, https://doi.org/10.1177/09596836241275000.","productDescription":"10 p.","startPage":"1865","endPage":"1874","ipdsId":"IP-154637","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489003,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/09596836241275000","text":"Publisher Index Page"},{"id":463145,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bolivia, Peru","otherGeospatial":"southern Lake Titicaca Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.1162116388946,\n -15.80639805549444\n ],\n [\n -70.1162116388946,\n -17.442518219155275\n ],\n [\n -68.4533885170531,\n -17.442518219155275\n ],\n [\n -68.4533885170531,\n -15.80639805549444\n ],\n [\n -70.1162116388946,\n -15.80639805549444\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-09-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Marsh, Erik J. 0000-0003-2355-5415","orcid":"https://orcid.org/0000-0003-2355-5415","contributorId":333619,"corporation":false,"usgs":false,"family":"Marsh","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":79949,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas","active":true,"usgs":false}],"preferred":false,"id":916662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harpel, Christopher 0000-0001-8587-7845","orcid":"https://orcid.org/0000-0001-8587-7845","contributorId":204746,"corporation":false,"usgs":true,"family":"Harpel","given":"Christopher","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259093,"text":"sir20245080 - 2024 - Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts","interactions":[],"lastModifiedDate":"2025-12-23T22:00:34.67459","indexId":"sir20245080","displayToPublicDate":"2024-09-27T16:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5080","displayTitle":"Estimating Groundwater Level Records Using MOVE.1 and Computing Monthly Percentiles From Estimated Groundwater Records in Massachusetts","title":"Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts","docAbstract":"The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, performed record extensions on groundwater levels at select wells using the Maintenance of Variance Extension type 1 (MOVE.1) method. The groundwater levels estimated from these record extensions were used to compute monthly percentiles to improve future determinations of a groundwater index. In Massachusetts, 27 of 29 short-record study wells with continuous groundwater levels between 0.8 and 8.1 years were suitable for record extensions; 37 long-record index wells were used to extend the groundwater level records at the study wells. The index well selected to pair with a study well was chosen based on Pearson correlation coefficient values; cross-correlation between the two wells; geologic and topographic similarity; and smallest distance spanning the wells. Each study well and its corresponding index well have 1 or more years of concurrent, overlapping data; a Pearson correlation coefficient that exceeded a threshold value of 0.8; and a similar aquifer type and hydrologic characteristics. Of the 29 study wells, 2 showed poor correlations with all index wells and were not considered for record extensions.
Performance metrics used to assess the accuracy of the MOVE.1 models indicated that most models provided reasonable estimates of groundwater levels. Root mean square error values ranged from 0.097 to 2.292 feet, with a median of 0.536 foot. Nash-Sutcliffe efficiency coefficient values ranged from 0.623 to 0.996, with a median value of 0.759. Generally, study wells in close geographical proximity to their index well resulted in stronger model performance.
The average length of groundwater level records was extended by 14.1 years to a new average of 18.1 years. The estimated groundwater level records from the MOVE.1 models resulted in an increase in the range of highest and lowest groundwater levels at 23 of 27 wells. The increase in range of groundwater levels was between 0.08 to 7.95 feet. Monthly percentiles for State drought indices were computed from the estimated MOVE.1 records and observed records through December 31, 2021. Percentiles computed from estimated records show an average groundwater level about 1.0 foot lower than observed data at the 2d percentile and 0.1 foot lower at the 30th percentile.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245080","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Ahearn, E.A., and Crozier, D.E., 2024, Estimating groundwater level records using MOVE.1 and computing monthly percentiles from estimated groundwater records in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2024–5080, 38 p., https://doi.org/10.3133/sir20245080.","productDescription":"Report: iv, 38 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162998","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":497950,"rank":7,"type":{"id":36,"text":"NGMDB Index 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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Coal fly ash is a potential resource of valuable elements, such as rare earth elements (REEs), which are retained and concentrated upon combustion. Understanding REE occurrence within fly ash is vital to developing recovery methods. Some of the highest REE contents occur in fly ash derived from U.S. Appalachian Basin coals, and coals influenced by input volcanic ash are especially enriched. Leaching studies of bulk fly ash show that, as a proportion of the total REEs present, samples from eastern U.S. coals are generally less extractable than fly ash derived from lower REEs western U.S. coals. Aluminosilicate glasses formed during combustion comprise the largest mass fraction of coal fly ash. REE-enriched domains are present locally in fly ash at the nanometer scale. Annual fly ash production, combined with coal ash already in storage, makes up a large resource for potential recovery of rare earths and associated critical elements. Further extraction technology developments are needed to overcome difficulties in REE concentration and purification to produce coal-ash-derived REE materials of saleable purity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rare Earth Elements: Sustainable recovery, processing, and purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119515005.ch2","usgsCitation":"Hower, J., Kolker, A., Hsu-Kim, H., and Platta, D., 2024, Rare Earth Elements in coal fly ash and their potential recovery, chap. 2 of Rare Earth Elements: Sustainable recovery, processing, and purification, p. 27-73, https://doi.org/10.1002/9781119515005.ch2.","productDescription":"47 p.","startPage":"27","endPage":"73","ipdsId":"IP-104795","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":466892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/9781119515005.ch2","text":"Publisher Index Page"},{"id":463157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"editors":[{"text":"Karamalidis, Athanasios","contributorId":100622,"corporation":false,"usgs":false,"family":"Karamalidis","given":"Athanasios","email":"","affiliations":[{"id":417,"text":"National Energy Technology Laboratory","active":false,"usgs":true}],"preferred":false,"id":916687,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Eggert, Roderick","contributorId":172613,"corporation":false,"usgs":false,"family":"Eggert","given":"Roderick","email":"","affiliations":[],"preferred":false,"id":916688,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":215373,"corporation":false,"usgs":false,"family":"Hower","given":"James","middleInitial":"C.","affiliations":[{"id":39231,"text":"University of Kentucky Center for Applied Energy Research","active":true,"usgs":false}],"preferred":false,"id":762195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu-Kim, Heileen","contributorId":178880,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","email":"","affiliations":[],"preferred":false,"id":762196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Platta, Desiree 0000-0003-0657-7735","orcid":"https://orcid.org/0000-0003-0657-7735","contributorId":215374,"corporation":false,"usgs":false,"family":"Platta","given":"Desiree","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":762197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266205,"text":"70266205 - 2024 - An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations","interactions":[],"lastModifiedDate":"2025-04-30T16:01:00.53097","indexId":"70266205","displayToPublicDate":"2024-09-27T10:50:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations","docAbstract":"Introduction: White Sturgeon Acipenser transmontanus in the Kootenai River basin is listed as endangered in the United States and Canada. Declines have been mainly attributed to poor recruitment exacerbated by the environmental effects of Libby Dam in Montana. Reduced primary production downstream of Libby Dam has been identified as one factor limiting growth of White Sturgeon, thereby limiting natural reproduction through delayed sexual maturity. However, estimating changes in growth over time without knowledge of fish location (i.e., Kootenai River vs. Kootenay Lake) is difficult. The objective of this project was to use microchemistry analysis to describe the movement of White Sturgeon within the Kootenai River basin.
Methods: Water samples (n = 27) and White Sturgeon fin rays (n = 162) collected in the Kootenai River basin were measured for strontium isotope (87Sr:86Sr) ratios using laser ablation multicollector inductively coupled plasma mass spectrometry. All water samples and a subset of fin rays (n = 8) were also analyzed for trace elements (e.g., Sr, Ba, Mg). Fin ray annuli were measured and tested using knowledge of known age; known locations from physical capture events were assigned to age at capture.
Results: Strontium isotope analysis was unable to detect differences in the Kootenai River and Kootenay Lake using water or fin ray samples. The Kootenai River and Kootenay Lake were distinguishable using trace element data from water samples, but not fin rays. The discrepancy with trace elements appears to be associated with the physiology of fin ray growth.
Discussion: Although this study did not meet its original objective of describing the movement of White Sturgeon in the Kootenai River basin from fin ray microchemistry, our results provide insight into the potential influence of physiology on microchemistry analysis. In particular, fin ray microchemistry of slow-growing fishes may be possible in freshwater systems with further investigation into the physiological processes associated with growth and the incorporation of elements into calcified structures.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2024.1475115","usgsCitation":"Ghere, C., Quist, M.C., Hardy, R.S., Willmes, M., Lewis, L., Wilson, S., and Smith, T., 2024, An evaluation of fin ray microchemistry to describe movement of White Sturgeon in the Kootenai River basin: Insights and limitations: Frontiers in Freshwater Science, v. 2, 1475115, 16 p., https://doi.org/10.3389/ffwsc.2024.1475115.","productDescription":"1475115, 16 p.","ipdsId":"IP-167840","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2024.1475115","text":"Publisher Index Page"},{"id":485211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana","otherGeospatial":"Kootenai River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.58401652080497,\n 50.69930521150616\n ],\n [\n -117.49821629131017,\n 49.509131619753205\n ],\n [\n -116.48726648061708,\n 48.128537941603184\n ],\n [\n -115.02431190642167,\n 48.23747385319575\n ],\n [\n -115.07423825028928,\n 48.982857626149\n ],\n [\n -115.7490124116938,\n 50.94774297789954\n ],\n [\n -117.58401652080497,\n 50.69930521150616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghere, Courtnie L.","contributorId":352032,"corporation":false,"usgs":false,"family":"Ghere","given":"Courtnie","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":934915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":934917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willmes, Malte","contributorId":198500,"corporation":false,"usgs":false,"family":"Willmes","given":"Malte","email":"","affiliations":[],"preferred":false,"id":934918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, Levi","contributorId":313579,"corporation":false,"usgs":false,"family":"Lewis","given":"Levi","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Sean","contributorId":352033,"corporation":false,"usgs":false,"family":"Wilson","given":"Sean","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Troy","contributorId":353368,"corporation":false,"usgs":false,"family":"Smith","given":"Troy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934921,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263402,"text":"70263402 - 2024 - Extending the Boore and Abrahamson (2023) modified square-root-impedance method for the development of site amplifications consistent with the full-resonance approach to a range of VS30 values","interactions":[],"lastModifiedDate":"2025-02-10T16:50:36.940557","indexId":"70263402","displayToPublicDate":"2024-09-27T09:38:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Extending the Boore and Abrahamson (2023) modified square-root-impedance method for the development of site amplifications consistent with the full-resonance approach to a range of VS30 values","docAbstract":"The square-root-impedance (SRI) method is commonly used to approximate the seismic site amplifications computed using the full-resonance (FR) method for gradient shear-wave velocity (VS) profiles that are smoothly varying with depth. The SRI site amplifications have been observed to systematically underpredict the FR site amplifications by a ratio of FR/SRI amplifications around 1.05 to 1.3 across a wide frequency range (Boore, 2013). Recently, Boore and Abrahamson (2023; hereafter, BA23) related this difference in the SRI and FR methods to differences in the exponent η of the ratio of seismic impedances between the two methods. They proposed the implementation of a modified frequency-dependent η in the SRI method to improve its match to the FR site amplifications. This modified η was derived using only five VS profiles. We investigate the performance of the BA23 η for a wide range of realistic gradient VS profiles with VS30 ranging from 180 to 1500 m/s. These gradient VS profiles are constructed using two power-law functions of depth and are constrained by the assigned VS30 value, the depth and velocity of the half-space, and depths to shear-wave velocity horizons of 1.0 and 2.5 km/s (Z1.0 and Z2.5) based on western United States sites. Despite observing a VS30 dependence of η, we find that the BA23 η generally works reasonably well for the range of VS profiles analyzed. Using the VS30-dependent η derived in this study results in improvements in matching the FR site amplification compared to using the BA23 η. These improvements are more pronounced for the soft-site conditions and become modest to negligible for the stiff site conditions
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240112","usgsCitation":"Al Atik, L., and Boore, D., 2024, Extending the Boore and Abrahamson (2023) modified square-root-impedance method for the development of site amplifications consistent with the full-resonance approach to a range of VS30 values: Bulletin of the Seismological Society of America, v. 114, no. 6, p. 3093-3102, https://doi.org/10.1785/0120240112.","productDescription":"10 p.","startPage":"3093","endPage":"3102","ipdsId":"IP-167085","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Al Atik, Linda","contributorId":140526,"corporation":false,"usgs":false,"family":"Al Atik","given":"Linda","email":"","affiliations":[],"preferred":false,"id":926857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259385,"text":"70259385 - 2024 - Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning","interactions":[],"lastModifiedDate":"2024-10-07T14:39:04.576768","indexId":"70259385","displayToPublicDate":"2024-09-27T09:34:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning","docAbstract":"Global demand for lithium, the primary component of lithium-ion batteries, greatly exceeds known supplies, and this imbalance is expected to increase as the world transitions away from fossil fuel energy sources. High concentrations of lithium in brines have been observed in the Smackover Formation in southern Arkansas (>400 milligrams per liter). We used published and newly collected brine lithium concentration data to train a random forest machine-learning model using geologic, geochemical, and temperature explanatory variables and create a map of predicted lithium concentrations in Smackover Formation brines across southern Arkansas. Using these predicted lithium maps with reservoir parameters and geologic information, we calculated that there are 5.1 to 19 million tons of lithium in Smackover Formation brines in southern Arkansas, which represents 35 to 136% of the current US lithium resource estimate. Based on these calculations, in 2022, 5000 tons of dissolved lithium were brought to the surface within brines as waste streams of the oil, gas, and bromine industries.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adp8149","usgsCitation":"Knierim, K.J., Blondes, M., Masterson, A., Freeman, P., McDevitt, B., Herzberg, A., Li, P., Mills, C., Doolan, C.A., Jubb, A., Ausbrooks, S., and Chenault, J., 2024, Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning: Science Advances, v. 10, no. 39, eadp8149, 11 p., https://doi.org/10.1126/sciadv.adp8149.","productDescription":"eadp8149, 11 p.","ipdsId":"IP-153803","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":466893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adp8149","text":"Publisher Index Page"},{"id":462662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Smackover Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.97434190011148,\n 33.77226311729616\n ],\n [\n -93.97434190011148,\n 32.98074805942153\n ],\n [\n -92.06801891555762,\n 32.98074805942153\n ],\n [\n -92.06801891555762,\n 33.77226311729616\n ],\n [\n -93.97434190011148,\n 33.77226311729616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"39","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masterson, Andrew Laurence 0000-0002-3422-2985","orcid":"https://orcid.org/0000-0002-3422-2985","contributorId":343951,"corporation":false,"usgs":true,"family":"Masterson","given":"Andrew Laurence","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":224150,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzberg, Amanda Sha 0000-0003-0343-9425","orcid":"https://orcid.org/0000-0003-0343-9425","contributorId":333089,"corporation":false,"usgs":true,"family":"Herzberg","given":"Amanda Sha","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Peng","contributorId":344957,"corporation":false,"usgs":false,"family":"Li","given":"Peng","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915112,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mills, Ciara","contributorId":344958,"corporation":false,"usgs":false,"family":"Mills","given":"Ciara","email":"","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915113,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915114,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915115,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ausbrooks, Scott","contributorId":344959,"corporation":false,"usgs":false,"family":"Ausbrooks","given":"Scott","affiliations":[{"id":82440,"text":"Arkansas Department of Energy and Environment, Office of the State Geologist","active":true,"usgs":false}],"preferred":false,"id":915116,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915117,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70266475,"text":"70266475 - 2024 - Sprinting performance and behavior of adult shortnose sturgeon (Acipenser brevirostrum)","interactions":[],"lastModifiedDate":"2025-05-08T14:06:21.567838","indexId":"70266475","displayToPublicDate":"2024-09-27T09:01:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sprinting performance and behavior of adult shortnose sturgeon (Acipenser brevirostrum)","title":"Sprinting performance and behavior of adult shortnose sturgeon (Acipenser brevirostrum)","docAbstract":"Swimming ability and performance are central to the ecology of aquatic species and to the design of structures intended to promote access to habitat. This is particularly important for migratory species traveling over significant distances. Here, we present results of a study of swimming behaviors of adult shortnose sturgeon (Acipenser brevirostrum). Sturgeon were presented with velocity challenges of 0.5–2.5 m·s‒1 in a 35 m long flume that they were allowed to enter and ascend volitionally. Attempt rate was greatest among large sturgeon, at warm temperatures, and at low flow velocities. Sturgeon swam for shorter distances and durations against high-velocity flows; larger sturgeon had greater overall performance and endurance, but when velocities were standardized to body lengths the relative performance was reduced with increased body size. Overall, however, sturgeon were able to swim at much greater speeds than previously predicted, consistent with other studies showing that volitional performance exceeds that of data collected in common laboratory apparatus.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0257","usgsCitation":"Castro-Santos, T., Kieffer, M., and Goerig, E., 2024, Sprinting performance and behavior of adult shortnose sturgeon (Acipenser brevirostrum): Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 11, p. 1495-1513, https://doi.org/10.1139/cjfas-2023-0257.","productDescription":"19 p.","startPage":"1495","endPage":"1513","ipdsId":"IP-133348","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501033,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/139727","text":"External Repository"},{"id":485552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":936160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":936161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goerig, Elsa","contributorId":261644,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":936162,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263979,"text":"70263979 - 2024 - Length-weight relationships of native and non-native fishes in the lower Red River catchment, USA","interactions":[],"lastModifiedDate":"2025-03-04T15:28:51.917668","indexId":"70263979","displayToPublicDate":"2024-09-27T08:21:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Length-weight relationships of native and non-native fishes in the lower Red River catchment, USA","docAbstract":"Length-weight relationships are useful for stock assessments and modeling alternative conservation and management strategies for both native and non-native fishes. We developed length-weight relationships for 18 native and non-native riverine fishes in the lower Red River catchment. Fishes were sampled in the summer and autumn seasons between May 2021 and March 2024 via electrofishing and gill nets. Measurements for each specimen consisted of total length (mm) and weight (g). We provide L-W relationships for 14 native fishes consisting of 5 families (Lepisosteidae, Catostomidae, Ictaluridae, Sciaenidae, and Polyodontidae) and 4 non-native species belonging to the family Cyprinidae. We collected 6,845 individuals ranging from 67 alligator gar to 1,848 smallmouth buffalo. All the L-W relationships were significant (p < 0.05), and the majority (72% of species) of relationships between length and weight had r2 values > 0.70. Our findings provide insight into the L-W relationships of riverine fishes and can be useful for modeling alternatives targeted at native fishes of recreational value and the removal efforts of non-native fishes.
","language":"English","publisher":"Wiley","doi":"10.1155/2024/5578825","usgsCitation":"Vilchez, M., Dattilo, J., and Brewer, S., 2024, Length-weight relationships of native and non-native fishes in the lower Red River catchment, USA: Journal of Applied Ichthyology, v. 2024, no. 1, 5578825, 5 p., https://doi.org/10.1155/2024/5578825.","productDescription":"5578825, 5 p.","ipdsId":"IP-165911","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/5578825","text":"Publisher Index Page"},{"id":482798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma, Texas","otherGeospatial":"Red River catchment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.93228187371122,\n 34.22047917116373\n ],\n [\n -94.93228187371122,\n 33.04015559284352\n ],\n [\n -93.76736032095783,\n 33.04015559284352\n ],\n [\n -93.76736032095783,\n 34.22047917116373\n ],\n [\n -94.93228187371122,\n 34.22047917116373\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Vilchez, Mariaguadalupe","contributorId":351761,"corporation":false,"usgs":false,"family":"Vilchez","given":"Mariaguadalupe","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":929405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dattilo, John","contributorId":341000,"corporation":false,"usgs":false,"family":"Dattilo","given":"John","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":929406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":929407,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70260405,"text":"70260405 - 2024 - Framework for mapping liquefaction hazard–Targeted design ground motions","interactions":[],"lastModifiedDate":"2024-11-01T13:20:58.073239","indexId":"70260405","displayToPublicDate":"2024-09-27T07:12:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Framework for mapping liquefaction hazard–Targeted design ground motions","docAbstract":"The management of developed barrier islands is often piece-meal and reactionary despite the complex, dynamic nature of these systems, and sustainable practices will become increasingly difficult due to heightened pressures of climate change. Adaptation actions, including nature-based solutions, need to be thoroughly evaluated prior to implementation to understand system-wide impacts and avoid maladaptation. Anarde et al. (2024a), (https://doi.org/10.1029/2023ef003672), Anarde et al. (2024b), (https://doi.org/10.1029/2023ef004200) is the latest important contribution in a growing body of transdisciplinary research that more robustly evaluates the complex physical process-and-response relationship of barrier systems via sophisticated numerical modeling approaches that also interface with socioeconomic models to inform coastal management actions in response to mitigating coastal risk. This new research indicates the importance of coordinated system-scale barrier island management, as strategies to reduce coastal hazard risk in one location will directly affect adjacent communities. Further, this work demonstrates that reducing barrier management interventions may actually promote barrier recovery and sustainability in the face of sea level rise. In addition, recent advances in the analysis and application of remotely sensed data from satellites and oblique aerial photography provide scientists an unprecedented opportunity to track coastal evolution over a wide range of spatial and temporal scales at minimal cost. As sea level rise and changing storm patterns challenge the sustainable management of barrier island systems, integrating these advanced, transdisciplinary tools will enable scientists and coastal practitioners to more thoroughly evaluate coastal adaptation options, efficiently invest limited resources to mitigate coastal hazard risk for communities, support healthy ecosystems, and reduce system-wide impacts.