The Cross-Hosgri slope is a bathymetric lineament that crosses the main strand of the Hosgri fault offshore Point Estero, central California. Recently collected chirp seismic reflection profiles and sediment cores provide the basis for a reassessment of Cross-Hosgri slope origin and the lateral slip rate of the Hosgri fault based on offset of the lower slope break of the Cross-Hosgri slope. The Cross-Hosgri slope is comprised of two distinct stratigraphic units. The lower unit (unit 1) overlies the post–Last Glacial Maximum transgressive erosion surface and is interpreted as a Younger Dryas (ca. 12.85–11.65 ka) shoreface deposit based on radiocarbon and optically stimulated luminescence (OSL) ages, Bayesian age modeling, seismic facies, sediment texture, sediment infauna, and heavy mineral component. The shoreface was abandoned and partly eroded during rapid sea-level rise from ca. 11.5 to 7 ka. Unit 2 consists of fine sand and silt deposited in a midshelf environment when the rate of sea-level rise slowed between ca. 7 ka and the present. Although unit 2 provides a thin, relatively uniform cover over the lower slope break of the older shoreface, this feature still represents a valuable piercing point, providing a Hosgri fault slip rate of 2.6 ± 0.8 mm/yr. Full-waveform processing of chirp data resulted in significantly higher resolution in coarser-grained strata, which are typically difficult to interpret with more traditional envelope processing. Our novel combination of offshore radiocarbon and OSL dating is the first application to offshore paleoseismic studies, and our results indicate the utility of this approach for future marine neotectonic investigations.
Context Tidal saline wetlands (TSWs) are highly threatened from climate-change effects of sea-level rise. Studies of TSWs along the East Coast U.S. and elsewhere suggest significant likely losses over coming decades but needed are analytic tools gauged to Pacific Coast U.S. wetlands.
Objectives We predict the impacts of sea-level rise (SLR) on the elevation capital (vertical) and migration potential (lateral) resilience of TSWs along the Pacific Coast U.S. over the period 2020 to 2150 under a 1.5-m SLR scenario, and identified TSWs at risk of most rapid loss of resilience. Here, we define vertical resilience as the amount of elevation capital and lateral resilience as the amount of TSW displacement area relative to existing area.
Methods We used Bayesian network (BN) modeling to predict changes in resilience of TSWs as probabilities which can be useful in risk analysis and risk management. We developed the model using a database sample of 26 TSWs with 147 sediment core samples, among 16 estuary drainage areas along coastal California, Oregon, and Washington.
Results We found that all TSW sites would lose at least 50% of their elevation capital resilience by 2060 to just before 2100, and 100% by 2070 to 2130, depending on the site. Under a 1.5-m sea-level rise scenario, nearly all sites in California will lose most or all of their lateral migration resilience. Resilience losses generally accelerated over time. In the BN model, elevation capital resilience is most sensitive to elevation capital at time t, mean tide level at time t, and change in sea level from time 0 to time t.
Conclusions All TSW sites were projected with declines in resilience. Our model can further aid decision-making such as prioritizing sites for potential management adaptation strategies. We also identified variables most influencing resilience predictions and thus those potentially prioritized for monitoring or development of strategies to prevent loss regionally.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-023-01762-3","usgsCitation":"Marcot, B.G., Thorne, K., Carr, J., and Guntenspergen, G.R., 2023, Foundations of modeling resilience of tidal saline wetlands to sea-level rise along the U.S. Pacific Coast: Landscape Ecology, v. 38, p. 3061-3080, https://doi.org/10.1007/s10980-023-01762-3.","productDescription":"20 p.","startPage":"3061","endPage":"3080","ipdsId":"IP-148063","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441704,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-023-01762-3","text":"Publisher Index Page"},{"id":422365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.79508376826595,\n 32.6394986015149\n ],\n [\n -117.38046175678818,\n 33.634263181198776\n ],\n [\n -119.04924372825178,\n 34.47903231583611\n ],\n [\n -120.38379894663998,\n 34.68829360587419\n ],\n [\n -120.39855065841579,\n 35.33926414301449\n ],\n [\n -121.79626050797515,\n 36.460712237169574\n ],\n [\n -121.69218260053856,\n 36.794964571410546\n ],\n [\n -121.93473143542474,\n 37.099336500561904\n ],\n [\n -121.67841132759617,\n 37.4046675213457\n ],\n [\n -122.29904672509281,\n 38.299945698864775\n ],\n [\n -122.73038676825749,\n 38.20384318696074\n ],\n [\n -123.43481358189254,\n 39.0731465550509\n ],\n [\n -124.04491152385293,\n 40.344784634590496\n ],\n [\n -123.71975903545354,\n 41.393830664494715\n ],\n [\n -124.30182241974398,\n 42.756208502734836\n ],\n [\n -123.72352270756943,\n 43.87384063633678\n ],\n [\n -123.69957609415667,\n 46.20564287869419\n ],\n [\n -123.73190708914615,\n 47.01614568390107\n ],\n [\n -124.52407464804097,\n 48.44687072153897\n ],\n [\n -125.07770960477518,\n 48.56365821581798\n ],\n [\n -124.81324633275776,\n 47.69849413178119\n ],\n [\n -124.24511492723724,\n 46.407052517711605\n ],\n [\n -124.64743081974362,\n 43.59326210341467\n ],\n [\n -124.85817977876286,\n 42.61603559520387\n ],\n [\n -124.46177432494142,\n 41.15906667493712\n ],\n [\n -124.73844702893035,\n 40.16919745978089\n ],\n [\n -124.14464449468676,\n 39.63763990789823\n ],\n [\n -124.08963171928053,\n 38.73318027566873\n ],\n [\n -123.05064665424416,\n 37.68717586937068\n ],\n [\n -121.75049102805497,\n 35.902294376643596\n ],\n [\n -120.98156553638233,\n 35.198466337951686\n ],\n [\n -120.87397110810903,\n 34.31747679968289\n ],\n [\n -119.36572913414489,\n 34.05126341484619\n ],\n [\n -117.64709261279006,\n 33.1121239333127\n ],\n [\n -117.2603048744129,\n 32.509262003906\n ],\n [\n -116.79508376826595,\n 32.6394986015149\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2023-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":887494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":887495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":887496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":887497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257377,"text":"70257377 - 2023 - Whole-lake acoustic telemetry to evaluate survival of stocked juvenile fish","interactions":[],"lastModifiedDate":"2024-08-21T16:13:36.214575","indexId":"70257377","displayToPublicDate":"2023-11-02T09:00:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Whole-lake acoustic telemetry to evaluate survival of stocked juvenile fish","docAbstract":"Estimates of juvenile survival are critical for informing population dynamics and the ecology of fish, yet these demographic parameters are difficult to measure. Here, we demonstrate that advances in animal tracking technology provide opportunities to evaluate survival of juvenile tagged fish. We implemented a whole-lake telemetry array in conjunction with small acoustic tags (including tags < 1.0 g) to track the fate of stocked juvenile cisco (Coregonus artedi) as part of a native species restoration effort in the Finger Lakes region of New York, USA. We used time-to-event modeling to characterize the survival function of stocked fish, where we infer mortality as the cessation of tag detections. Survival estimates revealed distinct stages of juvenile cisco mortality including high immediate post-release mortality, followed by a period of elevated mortality during an acclimation period. By characterizing mortality over time, the whole-lake biotelemetry effort provided information useful for adapting stocking practices that may improve survival of stocked fish, and ultimately the success of the species reintroduction effort. The combination of acoustic technology and time-to-event modeling to inform fish survival may have wide applicability across waterbodies where receiver arrays can be deployed at scale and where basic assumptions about population closure can be satisfied.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-023-46330-6","usgsCitation":"Koeberle, A., Pearsall, W., Hammers, B., Mulhall, D., McKenna Jr., J., Chalupnicki, M., and Sethi, S.A., 2023, Whole-lake acoustic telemetry to evaluate survival of stocked juvenile fish: Scientific Reports, v. 13, e18956, 12 p., https://doi.org/10.1038/s41598-023-46330-6.","productDescription":"e18956, 12 p.","ipdsId":"IP-152742","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":441707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-46330-6","text":"Publisher Index Page"},{"id":433009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region, Keuka Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.25902648249861,\n 42.667712412436\n ],\n [\n -77.25902648249861,\n 42.40324220590065\n ],\n [\n -77.06119645246562,\n 42.40324220590065\n ],\n [\n -77.06119645246562,\n 42.667712412436\n ],\n [\n -77.25902648249861,\n 42.667712412436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2023-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Koeberle, Alexander","contributorId":342552,"corporation":false,"usgs":false,"family":"Koeberle","given":"Alexander","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearsall, Webster","contributorId":342553,"corporation":false,"usgs":false,"family":"Pearsall","given":"Webster","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammers, Brad","contributorId":342555,"corporation":false,"usgs":false,"family":"Hammers","given":"Brad","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mulhall, Daniel","contributorId":342558,"corporation":false,"usgs":false,"family":"Mulhall","given":"Daniel","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna Jr., James E. 0000-0002-1428-7597","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":342562,"corporation":false,"usgs":false,"family":"McKenna Jr.","given":"James E.","affiliations":[{"id":62863,"text":"Great Lakes Science Center","active":true,"usgs":false}],"preferred":false,"id":910190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sethi, Suresh Andrew 0000-0002-9369-487X ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-487X","contributorId":252537,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":911332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249994,"text":"70249994 - 2023 - Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA","interactions":[],"lastModifiedDate":"2023-11-12T13:51:58.025735","indexId":"70249994","displayToPublicDate":"2023-11-02T07:46:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5444,"text":"Applied Ocean Research","active":true,"publicationSubtype":{"id":10}},"title":"Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA","docAbstract":"Living shorelines as a nature-based solution for climate change adaptation were constructed in many places around the world. The success of this type of projects requires long-term monitoring for adaptive management. The paper presents a novel framework leveraging scientific machine learning methods for accurate and rapid prediction of long-term hydrodynamic forcing impacting living shorelines using short-term measurements of water levels and wind waves in the largest estuary in the U.S. Different from existing data-driven wave prediction models focusing on significant wave heights, this study is focused on the prediction of wave energy spectra in shallow water using winds and tides as the input feature and short-term measurements of wave spectra and water depths as the label. Long Short-Term Memory (LSTM) models were developed using four-month wave measurements in the stormy seasons to predict integral wave parameters and energy spectra for multiple years. The developed models accurately predicted wave heights, peak periods, and energy spectra around the living shorelines, capturing complex wave dynamics, such as wave generation by wind, nonlinear wave-wave interactions, and depth-limited wave breaking in the shallow water of a large estuary. The validated models were then used to determine the long-term wave forcing impacting the living shorelines based on the modeled wave characteristics and spectra. Model results show that the surrogate models utilizing LSTM to predict wave spectra in the frequency domain enable long-term predictions of spectral wave evolution with a minimal computational cost. Our findings provide valuable insights into the efficacy of living shorelines in attenuating wave energy and demonstrate the utility of this approach in assessing the effectiveness of such living shoreline structures.
The 6 February 2023 Kahramanmaraş, Turkey (Türkiye), earthquake sequence produced > 500 km of surface rupture primarily on the left‐lateral East Anatolian (~345 km) and Çardak (~175 km) faults. Constraining the length and magnitude of surface displacement on the causative faults is critical for loss estimates, recovery efforts, rapid identification of impacted infrastructure, and fault displacement hazard analysis. To support these efforts, we rapidly mapped the surface rupture from satellite data with support from remote sensing and field teams, and released the results to the public in near‐real time. Detailed surface rupture mapping commenced on 7 February and continued as high‐resolution (< 1.0 m/pixel) optical images from WorldView satellites (2023 Maxar) became available. We interpreted the initial simplified rupture trace from subpixel offset fields derived from Advanced Land Observation Satellite2 and Sentinel‐1A synthetic aperture radar image pairs available on 8 and 10 February, respectively. The mapping was released publicly on 10 February, with frequent updates, and published in final form four months postearthquake (Reitman, Briggs, et al., 2023). This publicly available, rapid mapping helped guide fieldwork and constrained U.S. Geological Survey finite‐fault and loss estimate models, as well as stress change estimates and dynamic rupture models.
Recent field and geochronological studies in eight 7.5-minute quadrangles near Mount Rogers in Virginia, North Carolina and Tennessee recognize (1) important stratigraphic and structural relationships for the Neoproterozoic Mount Rogers and Konnarock Formations, and the northeast end of the Mountain City window; (2) the separation of Mesoproterozoic rocks of the Blue Ridge into three age groups; and (3) the timing and emplacement of the Blue Ridge thrust sheet. The study area includes folded and faulted Paleozoic strata of the Valley and Ridge in the northwest juxtaposed by metamorphic and igneous rocks of the Blue Ridge to the southeast. In the Valley and Ridge, Cambrian to Middle Ordovician carbonate and clastic rocks are exposed in a syncline in the Pulaski thrust sheet; these rocks are overridden by the Blue Ridge thrust sheet. The northeast end of the Mountain City window is interpreted as a simple window; the Stone Mountain fault is folded and continues as the Iron Mountain fault on the NW-side of the window. The Stone Mountain fault does not exist at the surface to the NE near the Razor Ridge volcanic center. Instead, a continuous section of Proterozoic gneisses, Mount Rogers Formation, Konnarock Formation and Chilhowee Group is now recognized.
Rhyolites of the Mount Rogers Formation range from 760–749Ma, with detrital zircon age populations from associated volcaniclastic rocks indicating magmatism and rifting began by ~780 Ma. Rhyolite outliers in the Konnarock Formation and a change from rift-related clastic rocks of the Mount Rogers Formation transitioning to maroon laminites, mudstones and laminites with dropstones, suggest that the Konnarock Formation may be as old as ~751 Ma.
Mesoproterozoic crystalline rocks of the Blue Ridge, previously referred to as the Cranberry Gneiss, are distinguished based on field relationships and SHRIMP U–Pb zircon geochronology: (1) ~1.33 Ga pre-Grenvillian crust; (2) 1190–1140 Ma granitoids (early magmatic suite); and (3) 1075–1030 Ma granitoids (late magmatic suite).
Multiple greenschist-facies high-strain zones, including the 2–11 km wide Fries high-strain zone, occur in the Blue Ridge thrust sheet. Fabrics across the Fries and Gossan Lead faults have similar orientations and NW–directed contractional deformation. 40Ar/39Ar hornblende, muscovite, and K-feldspar ages indicate the western and eastern Blue Ridge had different thermal histories. The eastern Blue Ridge (Gossan Lead thrust sheet) experienced a 360–340 Ma amphibolite facies event prior to juxtaposition with the western Blue Ridge. 40Ar/39Ar muscovite ages in western Blue Ridge rocks document greenschist facies metamorphism and deformation and emplacement of the Blue Ridge thrust sheet at ~340 Ma; the Catface and Fries faults are tentatively interpreted to be contemporaneous. After initial emplacement of the Blue Ridge thrust sheet at ~340 Ma, shortening was accommodated by westward translation along the basal decollement, which carried the Blue Ridge thrust sheet to its current position.
","conferenceTitle":"Geology of the Mount Rogers area, revisited, Blue Ridge, VA–NC–TN: Virginia Geological Field Conference","conferenceDate":"October 27-29, 2023","conferenceLocation":"Troutdale, VA","language":"English","publisher":"Virginia Geological Field Conference","usgsCitation":"Merschat, A.J., McAleer, R.J., Holm-Denoma, C., and Southworth, C.S., 2023, Geology of the Mount Rogers area, revisited: Evidence of Neoproterozoic continental rifting, glaciation, and the opening and closing of the Iapetus Ocean, Blue Ridge, VA–NC–TN, Geology of the Mount Rogers area, revisited, Blue Ridge, VA–NC–TN: Virginia Geological Field Conference, Troutdale, VA, October 27-29, 2023, p. 1-28.","productDescription":"28 p.","startPage":"1","endPage":"28","ipdsId":"IP-158912","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":423016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422996,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://vgfc.blogs.wm.edu/past-conferences/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina, Tennessee, Virginia","otherGeospatial":"Mount Rogers area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.37532149916849,\n 36.95542282359787\n ],\n [\n -82.37532149916849,\n 36.22133694740798\n ],\n [\n -80.84600971858332,\n 36.22133694740798\n ],\n [\n -80.84600971858332,\n 36.95542282359787\n ],\n [\n -82.37532149916849,\n 36.95542282359787\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":888788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":888789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":888790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southworth, C. Scott 0000-0002-7976-7807 ssouthwo@usgs.gov","orcid":"https://orcid.org/0000-0002-7976-7807","contributorId":1608,"corporation":false,"usgs":true,"family":"Southworth","given":"C.","email":"ssouthwo@usgs.gov","middleInitial":"Scott","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":888791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243910,"text":"70243910 - 2023 - Resistivity imaging over porphyry copper systems in the Red Mountain district, southwest Colorado, USA","interactions":[],"lastModifiedDate":"2024-01-26T17:34:45.358484","indexId":"70243910","displayToPublicDate":"2023-11-01T11:25:05","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Resistivity imaging over porphyry copper systems in the Red Mountain district, southwest Colorado, USA","docAbstract":"The Red Mountain district in southwestern Colorado produced base and precious metals hosted in breccia pipes and vein structures related to an extensive lithocap that overlies pervasive quartz-sericite-pyrite alteration. A helicopter-borne time-domain electromagnetic survey flown over the district yielded resistivity values that range from tens to thousand or more ohm-m, with lesser resistivity values in the lithocap and greater resistivity values in the rocks with propylitic alteration. A 60 m-thick, low resistivity zone subparallel to topography characterizes the magmatic-hydrothermal breccia pipes. A broad zone of low resistivity that may envelope epithermal deposits spans multiple flight lines and occurs beneath rocks with argillic alteration. A 50 m-thick low resistivity zone occurs beneath quartz-sericite-pyrite alteration and may indicate porphyry deposit at depth.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Anderson, E., Deszcz-Pan, M., Yager, D., Eastman, K., and Hoogenboom, B.E., 2023, Resistivity imaging over porphyry copper systems in the Red Mountain district, southwest Colorado, USA, in Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 343-346.","productDescription":"4 p.","startPage":"343","endPage":"346","ipdsId":"IP-151353","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425026,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Red Mountain district, Silverton caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.7348537741502,\n 37.95951050781375\n ],\n [\n -107.7348537741502,\n 37.80819889981343\n ],\n [\n -107.54924524249871,\n 37.80819889981343\n ],\n [\n -107.54924524249871,\n 37.95951050781375\n ],\n [\n -107.7348537741502,\n 37.95951050781375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":202072,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maryla 0000-0002-6298-5314","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":305724,"corporation":false,"usgs":false,"family":"Deszcz-Pan","given":"Maryla","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":873712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":873713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eastman, Kyle","contributorId":305728,"corporation":false,"usgs":false,"family":"Eastman","given":"Kyle","email":"","affiliations":[{"id":36941,"text":"Montana Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":873714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoogenboom, Bennett Eugene 0000-0001-8096-3533","orcid":"https://orcid.org/0000-0001-8096-3533","contributorId":239871,"corporation":false,"usgs":true,"family":"Hoogenboom","given":"Bennett","email":"","middleInitial":"Eugene","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873715,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245198,"text":"70245198 - 2023 - Reconnaissance mineral and cathodoluminescence studies of gold occurrences in the Pogo-Black Mountain area, eastern interior Alaska, USA","interactions":[],"lastModifiedDate":"2024-01-26T17:23:09.372104","indexId":"70245198","displayToPublicDate":"2023-11-01T11:17:57","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reconnaissance mineral and cathodoluminescence studies of gold occurrences in the Pogo-Black Mountain area, eastern interior Alaska, USA","docAbstract":"The Pogo Au deposit is the largest of a number of gold occurrences in eastern interior Alaska, that occur along a broad trend from west of Pogo to Black Mountain. Some of these occurrences are hosted in amphibolite facies gneisses and others in mid-Cretaceous igneous rocks that intruded the older metamorphic rocks. All occurrences contain arsenopyrite and pyrite. Whole rock geochemical trends distinguish most metamorphic rock-hosted vein prospects (strong Bi-Te-Au correlations) and intrusion-hosted occurrences (weak As-Au correlations). Brecciated quartz veins in metamorphic rocks have paragentically late Bi-Te (±S) + Au that post-dates Fe-As sulphide deposition. High grade vein samples from the Tibbs Creek intrusion-hosted deposits contain pyrite and arsenopyrite, generally lack Bi-Te minerals, but can contain paragentically younger euhedral quartz, stibnite and carbonate. Cathodoluminescence studies of gold-rich samples indicate that quartz dissolution occurred during the syn- to post-tectonic Bi-Te-Au deposition, and the later stibnite event. In the case of metamorphic rock-hosted deposits (e.g., Pogo, Gray Lead), Bi-Te and gold deposition commonly occurs in microfractures within quartz veins; the limited quartz in these fractures have distinctive CL response. We propose that gold deposition is related to changes in P-T conditions rather than fluid-rock chemical reactions. Similar quartz dissolution textures affect the void-filling euhedral quartz before or during stibnite and carbonate mineralization in the high-grade Au samples from Blue Lead.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Graham, G.E., Marsh, E.E., Lowers, H.A., and Taylor, R., 2023, Reconnaissance mineral and cathodoluminescence studies of gold occurrences in the Pogo-Black Mountain area, eastern interior Alaska, USA, in Proceedings of the 17th SGA biennial meeting, v. 2, Zurich, Switzerland, August 28 - September 1, 2023, p. 142-145.","productDescription":"4 p.","startPage":"142","endPage":"145","ipdsId":"IP-151250","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425024,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Pogo-Black Mountains area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145,\n 64.5\n ],\n [\n -145,\n 64.33\n ],\n [\n -144.5,\n 64.33\n ],\n [\n -144.5,\n 64.5\n ],\n [\n -145,\n 64.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":875825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsh, Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":875826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":875827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":875828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70245199,"text":"70245199 - 2023 - Critical minerals: Germanium and cobalt in the Bornite deposit, southwestern Brooks Range, Alaska","interactions":[],"lastModifiedDate":"2024-01-26T17:16:14.966507","indexId":"70245199","displayToPublicDate":"2023-11-01T11:10:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Critical minerals: Germanium and cobalt in the Bornite deposit, southwestern Brooks Range, Alaska","docAbstract":"Increasing demand for Ge and Co has led to a renewed interest and focus on advancing our understanding of the occurrence, distribution, and sequestration of these critical elements in known ore deposits. A workflow using a variety of analytical techniques and co-registered datasets has been developed and was applied to the carbonate hosted Bornite Cu-Co (Zn,-Ge) deposit in Alaska, where a new orebody (“the South Reef”) was discovered in 2011. The South Reef is host to substantial amounts of high-grade Cu, Co, and appreciable Zn, but also contains localised elevated concentrations of Ge. We describe the mineralogy and paragenesis of the South Reef based on detailed optical petrography, scanning electron microscopy, scanning electron microscopy-based automated mineralogy, and mapping μ-X-ray fluorescence analysis. Germanium was found to exist in renierite, white mica, illite, galena and feldspars within the South Reef. Cobalt was found to occur in cobaltiferous pyrite, carrollite, and cobaltite.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Pfaff, K., Graham, G.E., Jones, A., and Kelley, K.D., 2023, Critical minerals: Germanium and cobalt in the Bornite deposit, southwestern Brooks Range, Alaska, in Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 321-324.","productDescription":"4 p.","startPage":"321","endPage":"324","ipdsId":"IP-151251","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425022,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Bornite deposit, Brooks Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.46782535244796,\n 67.043954191139\n ],\n [\n -156.67754097543025,\n 66.87808912722221\n ],\n [\n -156.49590303393813,\n 66.87808912722221\n ],\n [\n -156.40986400902102,\n 67.03898222146245\n ],\n [\n -157.1619088194088,\n 67.15431741329047\n ],\n [\n -157.39134621918814,\n 67.12708342458049\n ],\n [\n -157.46782535244796,\n 67.043954191139\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Katharina 0000-0002-6605-2722","orcid":"https://orcid.org/0000-0002-6605-2722","contributorId":310505,"corporation":false,"usgs":false,"family":"Pfaff","given":"Katharina","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":875829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":875830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Alex","contributorId":310506,"corporation":false,"usgs":false,"family":"Jones","given":"Alex","email":"","affiliations":[{"id":67200,"text":"Former Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":875831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":875832,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70245761,"text":"70245761 - 2023 - National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA","interactions":[],"lastModifiedDate":"2024-01-26T17:07:17.625859","indexId":"70245761","displayToPublicDate":"2023-11-01T11:03:58","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA","docAbstract":"The U.S. Geological Survey (USGS) has established robust collaborations with domestic state and international geological surveys to provide geophysical and other types of earth science data that act to underpin critical mineral research efforts across the United States, Canada, and Australia. The Earth Mapping Resource Initiative (EMRI) is a national-scale collaborative effort with state geological surveys to improve geophysical and geological data to advance our understanding of the United States’ critical mineral endowment. The Critical Mineral Mapping Initiative (CMMI) is a tri-national collaboration with the federal geological surveys of Canada and Australia to conduct research that will aid in identifying new areas with potential for critical mineral deposits across all three countries. This study describes the important interplay between the EMRI and CMMI and how each act in a complementary fashion to advance critical mineral research. We present examples that illustrate how magnetic anomaly data are used to define critical mineral prospectivity for Mississippi Valley-type (MVT) Zn-Pb mineral systems and illustrate how CMMI magnetic derivative maps were considered into USGS’ EMRI efforts to acquire modern high-resolution airborne geophysical data over a large area within the US Midcontinent.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"McCafferty, A.E., Amaral, C.M., and Graham, G.E., 2023, National- to continental-scale governmental geophysical efforts for critical mineral mapping, USA, in Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 363-366.","productDescription":"4 p.","startPage":"363","endPage":"366","ipdsId":"IP-151080","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425020,"rank":1,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}},{"id":425021,"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 -99,\n 44\n ],\n [\n -99,\n 32\n ],\n [\n -82,\n 32\n ],\n [\n -82,\n 44\n ],\n [\n -99,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amaral, Chelsea Morgan 0000-0003-4632-4097","orcid":"https://orcid.org/0000-0003-4632-4097","contributorId":313539,"corporation":false,"usgs":true,"family":"Amaral","given":"Chelsea","email":"","middleInitial":"Morgan","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":876249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248416,"text":"70248416 - 2023 - The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite","interactions":[],"lastModifiedDate":"2024-01-26T16:54:33.499412","indexId":"70248416","displayToPublicDate":"2023-11-01T10:51:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite","docAbstract":"Carbonatite-hosted rare earth element (REE) deposits are the primary source of the world’s light REEs and have the potential to be a source of heavy REEs. The Mount Weld REE deposit in Western Australia is hosted in a lateritic sequence that reflects supergene enrichment of the underlying carbonatite complex. Similar to other carbonatite-related ore deposits, ore from Mount Weld displays extreme light REE (LREE) enrichment (La up to 4 wt. %), but in contrast also contains substantially higher concentrations of heavy REEs (HREEs). REE enrichment in the laterite is controlled by the breakdown of primary minerals, the release and transport of REEs, and the formation of secondary minerals. Secondary REE-bearing phosphate minerals are the primary REE-host phases in the laterite ore with monazite as the dominant phase; other REE-bearing phases include rhabdophane, cerianite, churchite, florencite, and crandallite subgroup minerals. Profiles through the laterite show that in the REE-rich zone, apatite and primary calcite have broken down, and dolomite decreases by approximately 60-100%, such that the loss of Ca and Mg, as well as Si and K, leads to a relative increase in the REEs. Sequestering of REEs in secondary mineral phases formed by groundwater further enhances the REE concentration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th SGA biennial meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Biennial SGA Meeting","conferenceDate":"August 28 - September 1, 2023","conferenceLocation":"Zurich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Verplanck, P., Lowers, H.A., Boehlke, A., Thompson, J.M., Bhat, G., and Mercer, C.M., 2023, The Mount Weld rare earth element deposit, Western Australia: A carbonatite-derived laterite, in Proceedings of the 17th SGA biennial meeting, v. 3, Zurich, Switzerland, August 28 - September 1, 2023, p. 236-239.","productDescription":"4 p.","startPage":"236","endPage":"239","ipdsId":"IP-153160","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":425017,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sga2023.ch/programme/","linkFileType":{"id":5,"text":"html"}},{"id":425018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Mount Weld mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 122.55844013162994,\n -28.85365271342775\n ],\n [\n 122.52098580319358,\n -28.85365271342775\n ],\n [\n 122.52098580319358,\n -28.88079141106332\n ],\n [\n 122.55844013162994,\n -28.88079141106332\n ],\n [\n 122.55844013162994,\n -28.85365271342775\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":211010,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":882850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251091,"text":"70251091 - 2023 - Critical minerals in Climax-type magmatic-hydrothermal systems","interactions":[],"lastModifiedDate":"2024-01-26T16:56:28.00846","indexId":"70251091","displayToPublicDate":"2023-11-01T10:42:46","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Critical minerals in Climax-type magmatic-hydrothermal systems","docAbstract":"Today’s global economy is challenged to meet the growing demand for commodities used in existing and emerging advanced technologies. Critical minerals are commodities found in a wide variety of ore deposits that are vital to the economic or national security of individual nations that are vulnerable to supply disruption. The U.S. Geological Survey is striving to advance understanding of critical mineral resources by employing a Mineral Systems approach. Climax-type systems are one of 17 mineral systems currently under investigation. The aim of this work is to inventory and assess knowledge gaps on the abundance of 50 critical minerals in Climax-type systems. Here we synthesize geochemical data from ore concentrates, ore, waste, and minerals together with information on production from, and resources in, ore deposits. The goal of this work is to estimate the amount of critical minerals present in processed mine waste and unmined resources, discuss those that could potentially be recovered in the future, and identify important future areas of research.
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Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring and summer (June, July, August) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as wind-driven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submerged aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the James River. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who are looking at tidal water quality data and trying to understand why patterns are occurring, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. Our goal is for the Tributary Summary documents to be sources of readily available background for change over time in tidal water quality observed with monitoring data. The intended purpose of the Tributary Summary documents is to help answer questions related to water quality, show how landscape factors drive water quality change over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps.
","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K., Gunnerson, A., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M., Devereux, O., Zhang, Q., Murphy, R., Karrh, R., Butler, T., Van Note, V., and Wei, Z., 2023, James Tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2021, 77 p.","productDescription":"77 p.","ipdsId":"IP-155491","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":422387,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/who/group/integrated-trends-analysis-team","linkFileType":{"id":5,"text":"html"}},{"id":422427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence","interactions":[],"lastModifiedDate":"2024-08-01T14:58:15.621963","indexId":"70256619","displayToPublicDate":"2023-11-01T09:49:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence","docAbstract":"The devastating Kahramanmaraş earthquake sequence occurred on February 6, 2023. Two main events, Mw 7.8 and Mw 7.5 occurred 9 hours apart, affected 11 cities in Turkey, and subjected an area of ∼90,000 km2 to shaking levels known to trigger landslides (peak ground acceleration > 0.08 g). Extensive landsliding was expected given the hilly terrain affected by this significant ground shaking—about 15% of the topography is steeper than 20°—but was not initially apparent in early satellite imagery, mostly because of obscuring snow that fell just after the earthquakes. However, after a more detailed investigation using high-resolution satellite images, aerial photos, and a field survey, we confirmed that this earthquake sequence did, indeed, trigger numerous landslides. In this study, we present those findings and provide a preliminary characterization of the spatial distribution, general characteristics, and dominant types of landslides and hillslope deformation triggered by the earthquake sequence. We mapped 3673 coseismic landslides, mostly concentrated in the northern half of the impacted area. Rock falls are the most abundant landslide type, but bedrock rotational landslides, translational slides and lateral spreads are also numerous. Surface rupture through mountainous terrain caused several large, and in some cases fatal, landslides. Incipient landslides and ground cracks are also widespread, especially in the north. Lithology, spatial variability of ground shaking, and topographic relief appear to be the main variables controlling the spatial distribution of coseismic landslides. There are few detailed studies of earthquake-triggered landslides in arid and semi-arid regions such as this one, nor for such complex earthquake sequences. Therefore, this contribution provides valuable information for future hazard and modeling efforts in arid and semi-arid regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2023.107315","usgsCitation":"Gorum, T., Tanyas, H., Karabacak, F., Yilmaz, A., Girgin, S., Allstadt, K.E., Suzen, M.L., and Burgi, P.M., 2023, Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence: Engineering Geology, v. 327, 107315, 21 p., https://doi.org/10.1016/j.enggeo.2023.107315.","productDescription":"107315, 21 p.","ipdsId":"IP-154196","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2023.107315","text":"Publisher Index Page"},{"id":432031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Türkiye","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 35.932228360842544,\n 35.973045074631955\n ],\n [\n 36.32983932448548,\n 36.035276602908866\n ],\n [\n 37.86857056743534,\n 36.93821829196732\n ],\n [\n 39.69683217133675,\n 38.08156302992195\n ],\n [\n 38.989854338718345,\n 38.71377557689037\n ],\n [\n 38.469848249680496,\n 38.706777354491024\n ],\n [\n 36.898499605659964,\n 37.862404413864304\n ],\n [\n 35.469730632443316,\n 36.25972563387165\n ],\n [\n 35.932228360842544,\n 35.973045074631955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorum, Tolga 0000-0001-9407-7946","orcid":"https://orcid.org/0000-0001-9407-7946","contributorId":341389,"corporation":false,"usgs":false,"family":"Gorum","given":"Tolga","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":908339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karabacak, Furkan 0000-0001-5838-3196","orcid":"https://orcid.org/0000-0001-5838-3196","contributorId":341390,"corporation":false,"usgs":false,"family":"Karabacak","given":"Furkan","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yilmaz, Abdussamet 0000-0002-8707-8649","orcid":"https://orcid.org/0000-0002-8707-8649","contributorId":341391,"corporation":false,"usgs":false,"family":"Yilmaz","given":"Abdussamet","email":"","affiliations":[{"id":81732,"text":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":908341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Girgin, Serkan 0000-0002-0156-185X","orcid":"https://orcid.org/0000-0002-0156-185X","contributorId":341392,"corporation":false,"usgs":false,"family":"Girgin","given":"Serkan","email":"","affiliations":[{"id":81733,"text":"University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands","active":true,"usgs":false}],"preferred":false,"id":908342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":908343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suzen, M. 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We use data from 52 globally distributed seismographs to analyze the vertical component primary microseism wavefield at 14–20 s period between the late 1980s and August 2022. This signal is principally composed of Rayleigh waves generated by ocean wave seafloor tractions at less than several hundred meters depth, and is thus a proxy for near-coastal swell activity. Here we show that increasing seismic amplitudes at 3σ significance occur at 41 (79%) and negative trends occur at 3σ significance at eight (15%) sites. The greatest absolute increase occurs for the Antarctic Peninsula with respective acceleration amplitude and energy trends ( ± 3σ) of 0.037 ± 0.008 nm s−2y−1 (0.36 ± 0.08% y−1) and 4.16 ± 1.07 nm2 s−2y−1 (0.58 ± 0.15% y−1), where percentage trends are relative to historical medians. The inferred global mean near-coastal ocean wave energy increase rate is 0.27 ± 0.03% y−1 for all data and is 0.35 ± 0.04% y−1 since 1 January 2000. Strongly correlated seismic amplitude station histories occur to beyond 50∘ of separation and show regional-to-global associations with El Niño and La Niña events.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-42673-w","usgsCitation":"Aster, R.C., Ringler, A.T., Anthony, R.E., and Lee, T., 2023, Increasing ocean wave energy observed in Earth’s seismic wavefield since the late 20th century: Nature Communications, v. 14, 6984, 15 p., https://doi.org/10.1038/s41467-023-42673-w.","productDescription":"6984, 15 p.","ipdsId":"IP-154158","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-42673-w","text":"Publisher Index Page"},{"id":422334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":887320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":887321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":887322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Thomas A.","contributorId":328830,"corporation":false,"usgs":false,"family":"Lee","given":"Thomas A.","affiliations":[],"preferred":false,"id":887323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257380,"text":"70257380 - 2023 - Developing a stochastic hydrological model for informing lake water level drawdown management","interactions":[],"lastModifiedDate":"2024-09-04T16:42:02.446596","indexId":"70257380","displayToPublicDate":"2023-11-01T09:17:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Developing a stochastic hydrological model for informing lake water level drawdown management","docAbstract":"Winter drawdown (WD) is a common lake management tool for multiple purposes such as flood control, aquatic vegetation reduction, and lake infrastructure maintenance. To minimize adverse impacts to a lake’s ecosystem, regulatory agencies may provide managers with general guidelines for drawdown and refill timing, drawdown magnitude, and outflow limitations. However, there is significant uncertainty associated with the potential to meet management targets due to variability in lake characteristics and hydrometeorology of each lake’s basin, making the use of modeling tools a necessity. In this context, we developed a hydrological modeling framework for lake water level drawdown management (HMF-Lake) and evaluated it at 15 Massachusetts lakes where WDs have been applied over multiple years for vegetation control. HMF-Lake is based on the daily lake water balance, with inflows simulated by a lumped rainfall-runoff model (Cemaneige-GR4J) and outflow rate calculated by a modified Target Storage and Release Based Method (TSRB). The model showed a satisfactory performance of simulating historical water levels (0.53 ≤ NSE ≤ 0.86), however, uncertainties from meteorological inputs and TSRB determined lake outflow rate affected the result accuracy. To account for these uncertainties, the model was executed stochastically to assess the ability of study lakes to follow the Massachusetts’ general WD guidelines: drawdown by Dec 1 and fully refilled by Apr 1. By using the stochastic HMF-Lake, the probabilities of each lake to reach the drawdown level by Dec 1 were calculated for different drawdown magnitudes (1–6 ft). The probability results suggest it was generally less possible for most of study lakes to achieve a drawdown of 3 ft or more by Dec 1. Moreover, we employed the stochastic model to derive the annual latest refill starting dates that ensure a 95 % probability of reaching the normal water level by Apr 1. We found starting a refill in March for drawdowns up to 6 ft was feasible for most of study lakes. These results provide lake managers with a quantitative understanding of the lake’s ability to follow the state guidelines. The model may be used to systematically evaluate current WD management strategies at state or regional scales and support adaptive WD management under changing climates.
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\"}}]}","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"He, Xinchen","contributorId":316775,"corporation":false,"usgs":false,"family":"He","given":"Xinchen","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreadisa, Konstantinos","contributorId":342567,"corporation":false,"usgs":false,"family":"Andreadisa","given":"Konstantinos","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kumar, Abhiskek","contributorId":342569,"corporation":false,"usgs":false,"family":"Kumar","given":"Abhiskek","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Caitlyn","contributorId":316779,"corporation":false,"usgs":false,"family":"Butler","given":"Caitlyn","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910197,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249866,"text":"70249866 - 2023 - Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk","interactions":[],"lastModifiedDate":"2023-11-02T14:02:20.152878","indexId":"70249866","displayToPublicDate":"2023-11-01T08:51:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk","docAbstract":"Impacts of sea level rise will last for centuries; therefore, flood risk modeling must transition from identifying risky locations to assessing how populations can best cope. We present the first spatially interactive (i.e., what happens at one location affects another) land change model (FUTURES 3.0) that can probabilistically predict urban growth while simulating human migration and other responses to flooding, essentially depicting the geography of impact and response. Accounting for human migration reduced total amounts of projected developed land exposed to flooding by 2050 by 5%–24%, depending on flood hazard zone (50%–0.2% annual probability). We simulated various “what-if” scenarios and found managed retreat to be the only intervention with predicted exposure below baseline conditions. In the business-as-usual scenario, existing and future development must be either protected or abandoned to cope with future flooding. Our open framework can be applied to different regions and advances local to regional-scale efforts to evaluate potential risks and tradeoffs.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-46195-9","usgsCitation":"Sanchez, G.M., Petrasova, A., Skrip, M.M., Collins, E., Lawrimore, M.A., Vogler, J.B., Terando, A., Vukomanovic, J., Mitasova, H., and Meentemeyer, R.K., 2023, Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk: Scientific Reports, v. 13, 18869, 15 p., https://doi.org/10.1038/s41598-023-46195-9.","productDescription":"18869, 15 p.","ipdsId":"IP-144281","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":441720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-46195-9","text":"Publisher Index Page"},{"id":422331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","county":"Berkeley County, Charleston County, Dorchester County","city":"Charleston, Moncks Corner, 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Georgina M. 0000-0002-2365-6200","orcid":"https://orcid.org/0000-0002-2365-6200","contributorId":303829,"corporation":false,"usgs":false,"family":"Sanchez","given":"Georgina","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":true,"id":887453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petrasova, Anna","contributorId":331342,"corporation":false,"usgs":false,"family":"Petrasova","given":"Anna","email":"","affiliations":[],"preferred":false,"id":887454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skrip, Megan M.","contributorId":331343,"corporation":false,"usgs":false,"family":"Skrip","given":"Megan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":887455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Elyssa 0000-0002-8054-8468","orcid":"https://orcid.org/0000-0002-8054-8468","contributorId":294952,"corporation":false,"usgs":false,"family":"Collins","given":"Elyssa","email":"","affiliations":[{"id":63800,"text":"Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA","active":true,"usgs":false}],"preferred":false,"id":887456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawrimore, Margaret A.","contributorId":331344,"corporation":false,"usgs":false,"family":"Lawrimore","given":"Margaret","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":887457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogler, John B.","contributorId":331345,"corporation":false,"usgs":false,"family":"Vogler","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":887458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":887448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vukomanovic, Jelena","contributorId":316275,"corporation":false,"usgs":false,"family":"Vukomanovic","given":"Jelena","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":887459,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mitasova, Helena 0000-0002-6906-3398","orcid":"https://orcid.org/0000-0002-6906-3398","contributorId":296416,"corporation":false,"usgs":false,"family":"Mitasova","given":"Helena","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":887460,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":887461,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250909,"text":"70250909 - 2023 - Importance of understanding bottom-up control when characterizing geothermal systems","interactions":[],"lastModifiedDate":"2024-01-11T15:06:31.329254","indexId":"70250909","displayToPublicDate":"2023-11-01T08:40:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Importance of understanding bottom-up control when characterizing geothermal systems","docAbstract":"Methods designed to identify favorable areas for geothermal resources have traditionally been focused on near-surface information, namely data that can be compiled into a 2D map. However, these methods fail to account for the third dimension: depth. As a result, they do not incorporate deep crustal and mantle features like heat sources. Geophysical methods with multi-scale capabilities, such as magnetotellurics (MT), provide tools to image deeper structures and bottom-up control on location of near surface hydrothermal systems in 3D. This study briefly demonstrates the advantage of understanding bottom-up control on hydrothermal systems to aid assessment and characterization. A regional 3D electrical resistivity model of the Great Basin is developed from MT data that images the near surface down to the mantle. From the 3D model, electrical conductance (depth integrated electrical conductivity) maps are created at logical depth intervals to identify anomalies. The conductance maps image discrete zones of high-conductance between 15-20 km depth indicative of fluid collection at the brittle-ductile transition; high-conductance zones around Moho depths (30-50 km) suggestive of partial melt; high-conductance zones in the upper mantle indicative of higher temperature and larger melt fraction, and low-conductance zones indicative of lithospheric material descending in the mantle. One anomalous zone of low-conductance in the mantle is under the north central Nevada, suggesting vertical mantle flow transport of heat to the crust related to sinking lithospheric material.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Using the Earth to save the Earth (GRC transactions)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Peacock, J., and Bedrosian, P.A., 2023, Importance of understanding bottom-up control when characterizing geothermal systems, in Using the Earth to save the Earth (GRC transactions), v. 47, p. 1797-1807.","productDescription":"11 p.","startPage":"1797","endPage":"1807","ipdsId":"IP-154701","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":424332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":424331,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034877","linkFileType":{"id":5,"text":"html"}}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":892010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":892011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250352,"text":"70250352 - 2023 - Geophysical logging For hydrogeology","interactions":[],"lastModifiedDate":"2023-12-05T14:30:08.383686","indexId":"70250352","displayToPublicDate":"2023-11-01T08:27:07","publicationYear":"2023","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Geophysical logging For hydrogeology","docAbstract":"Geophysical logging is the measurement and analysis of electrical, acoustic, nuclear, and other physical properties in a borehole using wireline or direct push technology. Geophysical logging is one of the primary methods of collecting subsurface information for hydrogeologic investigations. Groundwater scientists and engineers should have a basic understanding of borehole geophysics and how it is applied in the characterization of aquifer systems.
In this book, the different types of geophysical logs and equipment used in hydrogeologic investigations are reviewed. Applications and analysis methods are illustrated by specific examples in both unconsolidated deposits and bedrock settings. Key references for further exploration of the methods and applications are provided. Hands-on exercises are included for students to develop and practice log-analysis skills.
","language":"English","publisher":"The Groundwater Project","usgsCitation":"Williams, J., and Paillet, F., 2023, Geophysical logging For hydrogeology, 79 p.","productDescription":"79 p.","ipdsId":"IP-130970","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":423241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423218,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gw-project.org/books/geophysical-logging-for-hydrogeology/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paillet, Frederick L.","contributorId":332138,"corporation":false,"usgs":false,"family":"Paillet","given":"Frederick L.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":889527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250023,"text":"70250023 - 2023 - Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey","interactions":[],"lastModifiedDate":"2023-11-14T13:02:59.992292","indexId":"70250023","displayToPublicDate":"2023-11-01T07:02:07","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey","docAbstract":"This study aims to identify the natural processes and the subsequent responses to coastal engineering and development on the alongshore evolution of the IB-BI-LBI inlet-barrier system. The primary focus will be the quantification of barrier island and inlet sediment partitioning at decadal to centennial timescales, from 1839-1941. We analyze historical alongshore evolution and track coastal engineering efforts at the Island Beach–Barnegat Inlet–Long Beach Island, NJ barrier-inlet system, which has transitioned from natural to highly developed over the past 180 years. We build a quantitative mass-balance framework that tracks sediment reservoir volumes and transport fluxes within the barrier-inlet system to describe both the natural and developed alongshore evolution of this system. We find that minor coastal engineering efforts, including the construction of small-scale wood and stone jetties, not only shift sediment transport locally, but also shift system-wide sediment transport based on inlet-barrier island interactions and sediment partitioning. Better understanding these different modes of past evolution can help to guide coastal management strategies as beach nourishment increases in cost, sea level-rise accelerates, and extreme storm patterns change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0130","usgsCitation":"Nichols-O’Neill, S., Lorenzo-Trueba, J., Ciarletta, D.J., and Miselis, J.L., 2023, Exploring centennial barrier-inlet evolution: Insights from undeveloped and developed phases at Barnegat Inlet, New Jersey, in The Proceedings of the Coastal Sediments 2023, p. 1403-1414, https://doi.org/10.1142/9789811275135_0130.","productDescription":"12 p.","startPage":"1403","endPage":"1414","ipdsId":"IP-148130","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.15617443689175,\n 39.81674675488196\n ],\n [\n -74.15617443689175,\n 39.71752217758285\n ],\n [\n -74.06965710290756,\n 39.71752217758285\n ],\n [\n -74.06965710290756,\n 39.81674675488196\n ],\n [\n -74.15617443689175,\n 39.81674675488196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols-O’Neill, Shane","contributorId":297142,"corporation":false,"usgs":false,"family":"Nichols-O’Neill","given":"Shane","email":"","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":888021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenzo-Trueba, Jorge","contributorId":297143,"corporation":false,"usgs":false,"family":"Lorenzo-Trueba","given":"Jorge","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":888022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888024,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250308,"text":"70250308 - 2023 - Vital sign monitoring is good medicine for parks","interactions":[],"lastModifiedDate":"2023-12-01T12:55:16.553428","indexId":"70250308","displayToPublicDate":"2023-11-01T06:52:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Vital sign monitoring is good medicine for parks","docAbstract":"Nearly 70 years ago a young ranger naturalist working in Yellowstone National Park (YNP), Frederick B. Turner, became fascinated with the abundance of frogs next to his cabin at “Soldier Creek” (known as Lodge Creek today). This interest blossomed into Turner’s PhD research and his publication in 1960 about the local population of Columbia spotted frogs (shown to right) became a classic for herpetologists. Unfortunately, the frog population Turner studied had a less positive future in store. Research by Idaho State University biologists in the 1990s revealed the Lodge Creek population had dwindled by 80%. Now, most of Turner’s study area is bereft of spotted frogs, and the remnant population near Yellowstone Lake is affected by a steep decline in reproduction and frequent disease outbreaks. Meanwhile, amphibian population declines documented worldwide, including in national parks of the western U.S., have become common. In YNP and neighboring Grand Teton National Park, we face the important questions of whether widespread amphibian declines are occurring here and if so, what do they portend. Can amphibians inform us about the health and changing conditions of wetlands in YNP? What are the implications of diminishing wetlands for other water-dependent species? And, more broadly, can amphibian and other living organisms serve as reliable indicators or vital signs for park health? In this issue of Yellowstone Science, we discuss how ecosystem science is taking cues from the medical field by relying on vital sign monitoring programs to assess ecosystem health.","language":"English","publisher":"National Park Service","usgsCitation":"Ray, A.M., Thoma, D.P., Legg, K.L., Diehl, R.H., Sepulveda, A., Tercek, M., and Al-Chokhachy, R., 2023, Vital sign monitoring is good medicine for parks: Yellowstone Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-103308","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":423138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/vital-sign-monitoring-is-good-medicine-for-parks.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":889388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":889389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Legg, Kristin L.","contributorId":332092,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","email":"","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":889390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tercek, Mike","contributorId":265910,"corporation":false,"usgs":false,"family":"Tercek","given":"Mike","affiliations":[{"id":54820,"text":"Walking Shadow Ecology","active":true,"usgs":false}],"preferred":false,"id":889393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216703,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889394,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250481,"text":"70250481 - 2023 - The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts","interactions":[],"lastModifiedDate":"2023-12-13T12:43:35.882553","indexId":"70250481","displayToPublicDate":"2023-11-01T06:38:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17107,"text":"Community Science","active":true,"publicationSubtype":{"id":10}},"title":"The Arctic Rivers Project: Using an equitable co-production framework for integrating meaningful community engagement and science to understand climate impacts","docAbstract":"As the Arctic and its rivers continue to warm, a better understanding of the possible future impacts on people would benefit from close partnership with Indigenous communities and scientists from diverse fields of study. We present efforts by the Arctic Rivers Project to conduct community-engaged research to increase collective understanding of the historical and potential future impacts of climate change on rivers, fish, and Indigenous communities. Working in central to northern Alaska and the Yukon Territory in Canada, the project seeks to engage with Indigenous communities in ethical and equitable ways to produces science that is useful, useable, and used that may serve as an example for future research efforts. Toward this goal, we formed an Indigenous Advisory Council and together developed project-specific knowledge co-production protocols. This paper provides a novel model of design and implementation to co-produce knowledge with communities across a large study domain.
Seismic images of Earth’s interior have revealed two continent-sized anomalies with low seismic velocities, known as the large low-velocity provinces (LLVPs), in the lowermost mantle. The LLVPs are often interpreted as intrinsically dense heterogeneities that are compositionally distinct from the surrounding mantle. Here we show that LLVPs may represent buried relics of Theia mantle material (TMM) that was preserved in proto-Earth’s mantle after the Moon-forming giant impact. Our canonical giant-impact simulations show that a fraction of Theia’s mantle could have been delivered to proto-Earth’s solid lower mantle. We find that TMM is intrinsically 2.0–3.5% denser than proto-Earth’s mantle based on models of Theia’s mantle and the observed higher FeO content of the Moon. Our mantle convection models show that dense TMM blobs with a size of tens of kilometres after the impact can later sink and accumulate into LLVP-like thermochemical piles atop Earth’s core and survive to the present day. The LLVPs may, thus, be a natural consequence of the Moon-forming giant impact. Because giant impacts are common at the end stages of planet accretion, similar mantle heterogeneities caused by impacts may also exist in the interiors of other planetary bodies.
Remote cameras (“trail cameras”) are a popular tool for non-invasive, continuous wildlife monitoring, and as they become more prevalent in wildlife research, machine learning (ML) is increasingly used to automate or accelerate the labor-intensive process of labelling (i.e., tagging) photos. Human-machine hybrid tagging approaches have been shown to greatly increase tagging efficiency (i.e., time to tag a single image). However, those potential increases hinge on the extent to which an ML model makes correct vs. incorrect predictions. We performed an experiment using a ML model that produces bounding boxes around animals, people, and vehicles in remote camera imagery (MegaDetector) to consider the impact of a ML model’s performance on its ability to accelerate human labeling. Six participants tagged trail camera images collected from 12 sites in Vermont and Maine, USA (January–September 2022) using three tagging methods (one with ML bounding box assistance and two without assistance). We used a generalized linear mixed model to examine the influence of ML model performance and tagging method on tagging efficiency. We found that ML bounding boxes offer significant improvement in tagging efficiency when labelling data compared to unassisted tagging. Additionally, the time taken to label with bounding boxes was not statistically different from an unassisted tagging approach. However, we found that gains in efficiency are contingent on the ML algorithm’s performance and that incorrect ML predictions, particularly the 4.2% false positive and 3.6% false negative predictions, can slow the tagging process compared to a non-hybrid approach. These findings indicate that although practitioners usually forgo the production of bounding boxes when selecting a data labelling process due to the increased effort, ML bounding box-assisted tagging can offer an efficient method for labeling. More broadly, ML-assisted data labelling offers an opportunity to accelerate the analysis of trail camera imagery, but an assessment of the ML model’s performance can illuminate whether the hybrid-tagging approach is ultimately a help or hinderance.
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