The Karner blue butterfly (Lycaeides melissa samuelis, or Kbb), a federally endangered species under the U.S. Endangered Species Act in decline due to habitat loss, can be further threatened by climate change. Evaluating how climate shapes the population trend of the Kbb can help in the development of adaptive management plans. Current demographic models for the Kbb incorporate in either a density-dependent or density-independent manner. We instead created mixed density-dependent and -independent (hereafter “endo-exogenous”) models for Kbbs based on long-term count data of five isolated populations in the upper Midwest, United States during two flight periods (May to June and July to August) to understand how the growth rates were related to previous population densities and abiotic environmental conditions, including various macro- and micro-climatic variables. Our endo-exogenous extinction risk models showed that both density-dependent and -independent components were vital drivers of the historical population trends. However, climate change impacts were not always detrimental to Kbbs. Despite the decrease of population growth rate with higher overwinter temperatures and spring precipitations in the first generation, the growth rate increased with higher summer temperatures and precipitations in the second generation. We concluded that finer spatiotemporally scaled models could be more rewarding in guiding the decision-making process of Kbb restoration under climate change.
Accurate estimates of current and future habitat suitability are needed for species that may require assistance in tracking a shifting climate. Standard species distribution models (SDMs) based on occurrence data are the most common approach for evaluating climatic suitability, but these may suffer from inaccuracies stemming from disequilibrium dynamics and/or an inability to identify suitable climate regions that have no analogues within the current range. An alternative approach is to test performance with experimental introductions, and model suitability from the empirical results. We used this method with the Haleakalā silversword (Argyroxiphium sandwicense subsp. macrocephalum), using a network of out-plant plots across the top of Haleakalā volcano, Hawaiʻi. Over a ~ 5-year period, survival varied strongly across this network and was effectively explained by a simple model including mean rainfall and air temperature. We then applied this model to estimate current climatic suitability for restoration or translocation activities, to define trends in suitability over the past three decades, and to project future suitability through 2051. This empirical approach indicated that much of the current range has low suitability for long-term successful restoration, but also identified areas of high climatic suitability in a region where plants do not currently occur. These patterns contrast strongly with projections obtained with a standard SDM, which predicted continued suitability throughout the current range. Under continued climatic shifts, these results caution against the common SDM presumption of equilibrium between species’ distributions and their environment, even for long-established native species.
Informed population monitoring efforts are essential for sound management of harvested species, and adaptive strategies that provide detailed information to monitoring efforts often require data inputs from complimentary sources. Movement ecology information is seldom directly incorporated into population monitoring or adaptive harvest management strategies, yet can provide valuable information on species distributions, emigration and immigration rates, and aid in determining optimal population monitoring timing. The Rocky Mountain Population (RMP) of Sandhill Cranes is a harvested population subject to a stringent adaptive harvest management framework and an annual aerial survey to estimate population abundance, but movements of Sandhill Cranes during survey windows, and subsequent changes to harvest quotas based on their movement and distribution have not been investigated. We used seven years of GPS tracking data to estimate state-specific emigration and immigration rates, using a Bayesian multi-state capture-recapture model, among states within the RMP distribution to understand how seasonal crane movements may influence optimal aerial survey timing. We then leveraged these transition probabilities in conjunction with aerial survey count data to model how changes in aerial survey timing and movement-informed crane distribution would influence the current RMP Sandhill Crane adaptive harvest management model resulting in estimated changes to harvest allocation among states based on Sandhill Crane movement. We found that Sandhill Crane emigration from northern states began to increase the week of the aerial survey in late September, and continued to increase as autumn migration progressed into October. As expected, immigration to southern states began as emigration from northern states increased. Importantly, little movement among states occurred prior to the current aerial survey design timing. Overall, we found that current survey timing and shortly thereafter (∼1 week) did not greatly influence estimates of Sandhill Crane distribution, and did not greatly influence the harvest reallocation to each state until mid to late October (range of −42–+52 tag allocation change), much later than the current survey design would allow. Using GPS locations, we found that optimal population monitoring efforts could be improved to account for both detection and seasonal movements, while minimally influencing current adaptive harvest management strategies to stakeholders. Linking movement ecology with population monitoring efforts and subsequently adaptive harvest management strategies yields insightful information that can be beneficial for conservation planning, decision-making, and optimal species management of a migratory bird.
Three-dimensional inversion of regional long-period magnetotelluric (MT) data reveals the presence of two distinct sets of high-conductivity belts in the Precambrian basement of the eastern U.S. Midcontinent. One set, beneath Missouri, Illinois, Indiana, and western Ohio, is defined by northwest–southeast-oriented conductivity structures; the other set, beneath Kentucky, West Virginia, western Virginia, and eastern Ohio, includes structures that are generally oriented northeast–southwest. The northwest-trending belts occur mainly in Paleoproterozoic crust, and we suggest that their high conductivity values are due to graphite precipitated within trans-crustal shear zones from intrusion-related CO2-rich fluids. Our MT inversion results indicate that some of these structures dip steeply through the crust and intersect the Moho, which supports an interpretation that the shear zones originated as “leaky” transcurrent faults or transforms during the late Paleoproterozoic or the early Mesoproterozoic. The northeast-trending belts are associated with Grenvillian orogenesis and also potentially with Iapetan rifting, although further work is needed to verify the latter possibility. We interpret the different geographic positions of these two sets of conductivity belts as reflecting differences in origin and/or crustal rheology, with the northwest-trending belts largely confined to older, stable, pre-Grenville cratonic Laurentia, and the northeast-trending belts largely having formed in younger, weaker marginal crust. Notably, these high-conductivity zones spatially correlate with Midcontinent fault-and-fold zones that affect Phanerozoic strata. Stratigraphic evidence indicates that Midcontinent fault-and-fold zones were particularly active during Phanerozoic orogenic events, and some remain seismically active today, so the associated high-conductivity belts likely represent long-lived weaknesses that transect the crust.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37099.1","usgsCitation":"Murphy, B.S., DeLucia, M.S., Marshak, S., Ravat, D., and Bedrosian, P.A., 2023, Magnetotelluric insights into the formation and reactivation of trans-crustal shear zones in Precambrian basement of the eastern U.S. Midcontinent: Geological Society of America Bulletin, v. 136, no. 7-8, p. 2661-2675, https://doi.org/10.1130/B37099.1.","productDescription":"15 p.","startPage":"2661","endPage":"2675","ipdsId":"IP-156454","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37099.1","text":"Publisher Index Page"},{"id":501591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kentucky, Michigan, Missouri, Ohio, Tennessee, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.56385155199473,\n 43.58838657273898\n ],\n [\n -94.89342352797115,\n 36.665741391167515\n ],\n [\n -90.1632867900763,\n 36.40918959165568\n ],\n [\n -90.1822818596265,\n 35.19325938384543\n ],\n [\n -82.50702489905923,\n 35.09029830465867\n ],\n [\n -81.72015275766472,\n 36.414903288152516\n ],\n [\n -75.94724335361846,\n 36.6343891406775\n ],\n [\n -78.22364477580007,\n 39.341914933866796\n ],\n [\n -83.87679948786644,\n 45.80918107937691\n ],\n [\n -86.49918682600257,\n 44.950592730464656\n ],\n [\n -87.74442475620134,\n 42.792743875212764\n ],\n [\n -90.2357236948469,\n 42.584968113049044\n ],\n [\n -91.44396187965609,\n 43.610837609280644\n ],\n [\n -96.56385155199473,\n 43.58838657273898\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"136","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2023-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLucia, Michael S.","contributorId":367930,"corporation":false,"usgs":false,"family":"DeLucia","given":"Michael","middleInitial":"S.","affiliations":[{"id":87645,"text":"Department of Geology and Environmental Geoscience, College of Charleston","active":true,"usgs":false}],"preferred":false,"id":957908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshak, Stephen","contributorId":367931,"corporation":false,"usgs":false,"family":"Marshak","given":"Stephen","affiliations":[{"id":40647,"text":"Department of Geology, University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":957909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ravat, Dhananjay","contributorId":367932,"corporation":false,"usgs":false,"family":"Ravat","given":"Dhananjay","affiliations":[{"id":87646,"text":"Department of Earth and Environmental Sciences, University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":957910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957911,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249882,"text":"sir20235113 - 2023 - Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2026-03-13T15:33:16.981018","indexId":"sir20235113","displayToPublicDate":"2023-11-06T12:50:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5113","displayTitle":"Development of the North Carolina Stormwater-Treatment Decision-Support System by Using the Stochastic Empirical Loading and Dilution Model (SELDM)","title":"Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"The Federal Highway Administration and State departments of transportation nationwide need an efficient method to assess potential adverse effects of highway stormwater runoff on receiving waters to optimize stormwater-treatment decisions. To this end, the U.S. Geological Survey, in cooperation with the Federal Highway Administration and the North Carolina Department of Transportation (NCDOT), developed a decision-support software tool based on a statewide version of the Stochastic Empirical Loading and Dilution Model (SELDM). This decision-support tool is designed to identify potential adverse effects of highway runoff by using a criterion based on a measurable change in water quality from a surrogate pollutant. The NCDOT worked with the North Carolina Department of Environmental Quality to select a 25-percent change in suspended sediment concentration as the decision-rule criterion for identifying measurable downstream water-quality change; this selection was based on available data and widely accepted stormwater monitoring uncertainties. Development of the statewide tool and its application to the Piedmont ecoregion are described in this report. Because SELDM can be applied to build a similar decision-support tool in any State, this report describes practice-ready methods that other State departments of transportation and municipal permittees can use to streamline environmental permitting and project delivery while protecting the environment.
Hydraulic design engineers can use this decision-support tool to establish stormwater-treatment goals for highway construction or improvement projects without having to learn SELDM or interpret its statistical output. The tool is a spreadsheet that determines if a selected highway segment can directly discharge highway runoff, if the highway segment can discharge runoff following treatment using a basic vegetated conveyance best management practice (BMP), or if treatment using an advanced BMP is needed to minimize effects of discharges on downstream water quality. To use the tool, hydraulic design engineers obtain upstream-basin characteristics from the U.S. Geological Survey StreamStats application and highway-site characteristics from preliminary design plans. They then enter these characteristics in the decision-support tool, which identifies the necessary stormwater-treatment goal.
The Piedmont ecoregion was used as a case study to demonstrate the type of information the decision-support tool can provide. In this ecoregion, 100 percent of direct discharges meet the water-quality criterion when the drainage-area ratio is less than about 0.007 acres of highway per square mile of upstream basin. Advanced BMPs are needed in 100 percent of basins with drainage-area ratios greater than about 50 acres per square mile. Between these drainage-area ratios, the selection of direct discharge, a basic vegetated conveyance BMP, or an advanced BMP is a function of highway-site and upstream-basin properties.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235113","collaboration":"Prepared in cooperation with the Federal Highway Administration and the North Carolina Department of Transportation","usgsCitation":"Granato, G.E., Stillwell, C.C., Weaver, J.C., McDaniel, A.H., Lipscomb, B.S., Jones, S.C., and Mullins, R.M., 2023, Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2023–5113, 25 p., https://doi.org/10.3133/sir20235113.","productDescription":"Report: vii, 25 p.; Data Release","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-141595","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":501155,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115584.htm","linkFileType":{"id":5,"text":"html"}},{"id":422369,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LCXHLN","text":"USGS data release","linkHelpText":"Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to assess potential impacts of highway runoff"},{"id":422370,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5113/sir20235113.XML"},{"id":422366,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5113/coverthb.jpg"},{"id":422368,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235113/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5113"},{"id":422367,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5113/sir20235113.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5113"},{"id":422371,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5113/images/"}],"country":"United States","state":"North Carolina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.753765,35.199612],[-75.718015,35.209377],[-75.684006,35.232913],[-75.664512,35.227514],[-75.630358,35.238487],[-75.599005,35.256253],[-75.596915,35.269491],[-75.581935,35.263917],[-75.535741,35.272856],[-75.529393,35.288272],[-75.487678,35.485056],[-75.487528,35.525889],[-75.47861,35.553069],[-75.48133,35.622896],[-75.487678,35.648287],[-75.507385,35.680564],[-75.515397,35.73038],[-75.533512,35.773577],[-75.522232,35.774178],[-75.496086,35.728515],[-75.458659,35.596597],[-75.471355,35.479615],[-75.486771,35.391652],[-75.52592,35.233839],[-75.533627,35.225825],[-75.560225,35.232048],[-75.610101,35.227514],[-75.769705,35.180359],[-75.944725,35.105091],[-76.013145,35.061855],[-76.013561,35.068832],[-75.99188,35.092395],[-75.989175,35.115165],[-75.98395,35.120042],[-75.9547,35.1196],[-75.893942,35.150433],[-75.801444,35.183079],[-75.785729,35.194244],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.65954,35.919564],[-75.662019,35.906522],[-75.64512,35.905788],[-75.62767,35.883149],[-75.616833,35.856331],[-75.619772,35.847606],[-75.614361,35.815659],[-75.620454,35.809253],[-75.63898,35.818639],[-75.667891,35.82354],[-75.675054,35.830204],[-75.660086,35.83861],[-75.663356,35.869835],[-75.67283,35.882423],[-75.681415,35.88398],[-75.697672,35.901639],[-75.696871,35.909556],[-75.702165,35.915428],[-75.723782,35.925569],[-75.727251,35.93362],[-75.718266,35.939714],[-75.705323,35.939403],[-75.675245,35.929024]]],[[[-76.12236,36.550621],[-75.867044,36.550754],[-75.818735,36.357579],[-75.773329,36.231529],[-75.71831,36.113674],[-75.658537,36.02043],[-75.569794,35.863301],[-75.533012,35.787377],[-75.536428,35.780118],[-75.543259,35.779691],[-75.573083,35.828867],[-75.588878,35.844926],[-75.619151,35.889415],[-75.620114,35.925288],[-75.648899,35.965758],[-75.668379,35.978394],[-75.678909,35.993925],[-75.723662,36.003139],[-75.727084,36.01051],[-75.722609,36.037362],[-75.737088,36.040784],[-75.74051,36.046839],[-75.73972,36.07527],[-75.75572,36.153922],[-75.783676,36.215949],[-75.811588,36.244014],[-75.808165,36.259545],[-75.814483,36.285344],[-75.822907,36.291662],[-75.837913,36.294558],[-75.845284,36.305614],[-75.841335,36.328517],[-75.831858,36.339047],[-75.831595,36.346418],[-75.836201,36.363135],[-75.85147,36.379456],[-75.85147,36.415785],[-75.864106,36.430527],[-75.888325,36.441583],[-75.899908,36.482124],[-75.907279,36.485809],[-75.924127,36.482124],[-75.935473,36.490601],[-75.972545,36.494671],[-76.003708,36.506235],[-76.023627,36.500778],[-76.031949,36.482496],[-76.012337,36.447462],[-75.98005,36.435464],[-75.962285,36.41724],[-75.940676,36.41885],[-75.928369,36.428588],[-75.923601,36.425788],[-75.916409,36.38901],[-75.923331,36.361863],[-75.895285,36.319615],[-75.882154,36.284674],[-75.864933,36.284674],[-75.86052,36.280607],[-75.867356,36.252483],[-75.864154,36.235522],[-75.858703,36.222628],[-75.848838,36.21657],[-75.838367,36.200129],[-75.839924,36.17711],[-75.823915,36.158332],[-75.822531,36.145957],[-75.800378,36.112728],[-75.791637,36.082267],[-75.793974,36.07171],[-75.836084,36.092616],[-75.867792,36.127262],[-75.863914,36.159226],[-75.882987,36.186807],[-75.910658,36.212157],[-75.922344,36.244122],[-75.94984,36.25787],[-75.96462,36.254433],[-75.957058,36.247903],[-75.945372,36.222468],[-75.956027,36.198065],[-75.936436,36.18088],[-75.904999,36.164188],[-75.939047,36.165518],[-76.016984,36.186367],[-76.029086,36.202036],[-76.043838,36.210126],[-76.054308,36.229162],[-76.08148,36.237935],[-76.132005,36.287773],[-76.184702,36.298166],[-76.188717,36.281242],[-76.171378,36.265806],[-76.149486,36.263902],[-76.115851,36.214219],[-76.080106,36.19944],[-76.05992,36.15514],[-76.064224,36.143775],[-76.092555,36.135794],[-76.178946,36.123424],[-76.206873,36.137521],[-76.254064,36.18419],[-76.273316,36.189062],[-76.27699,36.184952],[-76.247401,36.161823],[-76.228527,36.130647],[-76.191715,36.107197],[-76.216599,36.095409],[-76.265037,36.104886],[-76.329921,36.133396],[-76.373571,36.138208],[-76.3935,36.163251],[-76.447812,36.192514],[-76.454414,36.189901],[-76.456061,36.183577],[-76.375892,36.12042],[-76.346418,36.121023],[-76.334965,36.110903],[-76.298733,36.1012],[-76.303998,36.092776],[-76.323478,36.084879],[-76.355069,36.086458],[-76.410878,36.078034],[-76.420881,36.06066],[-76.451418,36.039073],[-76.459316,36.024331],[-76.491959,36.018013],[-76.514335,36.00564],[-76.547505,36.009852],[-76.580674,36.00722],[-76.60384,36.033018],[-76.615423,36.037757],[-76.653332,36.035124],[-76.676484,36.043612],[-76.721445,36.147838],[-76.719401,36.199441],[-76.675462,36.266882],[-76.693253,36.278357],[-76.744436,36.212725],[-76.7521,36.147328],[-76.722996,36.066585],[-76.679657,35.991951],[-76.70019,35.964573],[-76.692376,35.945342],[-76.667547,35.933509],[-76.528551,35.944039],[-76.473795,35.960888],[-76.460632,35.970365],[-76.398242,35.984317],[-76.38192,35.971681],[-76.381394,35.96273],[-76.362966,35.942197],[-76.340327,35.94325],[-76.317687,35.946935],[-76.272408,35.972734],[-76.213966,35.988002],[-76.176585,35.993267],[-76.093697,35.993001],[-76.083131,35.989845],[-76.062071,35.993004],[-76.024162,35.970891],[-76.014159,35.957202],[-76.01995,35.934036],[-76.014353,35.920746],[-76.063203,35.853433],[-76.050485,35.806689],[-76.046813,35.717935],[-76.036393,35.690344],[-76.046361,35.659067],[-76.04015,35.65131],[-76.029863,35.649443],[-76.013808,35.669103],[-75.9869,35.768194],[-75.987148,35.836967],[-75.97783,35.897181],[-75.962562,35.901393],[-75.94782,35.920347],[-75.927286,35.93193],[-75.92676,35.940354],[-75.943608,35.952464],[-75.947293,35.959835],[-75.899382,35.977209],[-75.84989,35.976156],[-75.80935,35.959308],[-75.800926,35.944566],[-75.782498,35.935615],[-75.778813,35.918241],[-75.751961,35.878227],[-75.748276,35.852428],[-75.734587,35.839266],[-75.727216,35.822703],[-75.726689,35.811361],[-75.739357,35.770994],[-75.724743,35.742892],[-75.71294,35.69849],[-75.713502,35.693993],[-75.741605,35.672073],[-75.742167,35.655212],[-75.729802,35.625985],[-75.747225,35.610248],[-75.778138,35.592262],[-75.775328,35.579335],[-75.837154,35.570904],[-75.859636,35.586641],[-75.895045,35.573152],[-75.916403,35.538305],[-75.950126,35.530998],[-75.964178,35.511326],[-75.963053,35.493903],[-75.987222,35.484348],[-75.995652,35.475355],[-75.997901,35.453435],[-76.009704,35.442194],[-76.01139,35.423084],[-76.020945,35.410719],[-76.025441,35.408471],[-76.050171,35.415778],[-76.059726,35.410157],[-76.063661,35.405099],[-76.059726,35.383741],[-76.069281,35.370813],[-76.132793,35.349455],[-76.14291,35.338776],[-76.14291,35.32866],[-76.149655,35.326411],[-76.182254,35.336528],[-76.20586,35.336528],[-76.235087,35.350017],[-76.253072,35.350017],[-76.257569,35.344397],[-76.265437,35.343273],[-76.282299,35.345521],[-76.304781,35.355638],[-76.327263,35.356762],[-76.335132,35.355638],[-76.340752,35.346645],[-76.349745,35.345521],[-76.382344,35.356762],[-76.399206,35.348893],[-76.408199,35.350017],[-76.431805,35.362383],[-76.436301,35.37812],[-76.448666,35.383741],[-76.462156,35.380368],[-76.472273,35.371375],[-76.485762,35.371375],[-76.540292,35.410657],[-76.586349,35.508957],[-76.476706,35.511707],[-76.456427,35.550546],[-76.471207,35.55742],[-76.48358,35.538172],[-76.55679,35.528892],[-76.600441,35.538516],[-76.634468,35.510332],[-76.601472,35.460838],[-76.580187,35.387113],[-76.606041,35.387113],[-76.710083,35.427155],[-76.759234,35.418906],[-76.830897,35.447949],[-76.942022,35.473529],[-77.023912,35.514802],[-77.026638,35.490569],[-76.967214,35.438296],[-76.891938,35.433649],[-76.664027,35.345696],[-76.500375,35.321915],[-76.482389,35.314046],[-76.467776,35.276951],[-76.467776,35.261213],[-76.477893,35.243228],[-76.490258,35.233111],[-76.494755,35.212877],[-76.521733,35.192643],[-76.536346,35.174657],[-76.539719,35.166788],[-76.536346,35.142058],[-76.546463,35.122948],[-76.557704,35.116204],[-76.568945,35.097094],[-76.60042,35.067867],[-76.631895,35.056626],[-76.801426,34.964369],[-76.982904,35.060607],[-76.989778,35.045484],[-76.977404,35.004926],[-76.89354,34.957495],[-76.762931,34.920374],[-76.635072,34.989116],[-76.588055,34.991428],[-76.566697,34.998173],[-76.502623,35.007166],[-76.491382,35.017283],[-76.490258,35.034144],[-76.474521,35.070116],[-76.463468,35.076411],[-76.435762,35.057941],[-76.425461,35.001464],[-76.395625,34.975179],[-76.332044,34.970917],[-76.326361,34.976245],[-76.329557,34.986901],[-76.364367,35.034853],[-76.318546,35.020645],[-76.288354,35.005726],[-76.296524,34.976245],[-76.275567,34.960971],[-76.277698,34.940014],[-76.347673,34.872171],[-76.368274,34.872881],[-76.379641,34.86258],[-76.400242,34.855476],[-76.463016,34.785076],[-76.524712,34.681964],[-76.586236,34.698805],[-76.582421,34.767757],[-76.604796,34.787482],[-76.620606,34.784389],[-76.616567,34.714059],[-76.673619,34.71491],[-76.673537,34.70757],[-76.523303,34.652271],[-76.383827,34.807906],[-76.322808,34.86116],[-76.233672,34.925926],[-76.093349,35.048705],[-76.069906,35.075701],[-76.043621,35.070017],[-76.035933,35.058987],[-76.137269,34.987858],[-76.233088,34.905477],[-76.31021,34.852309],[-76.386804,34.784579],[-76.494068,34.66197],[-76.524199,34.615416],[-76.535946,34.588577],[-76.555196,34.615993],[-76.549343,34.645585],[-76.579467,34.660174],[-76.642939,34.677618],[-76.676312,34.693151],[-76.770044,34.696899],[-76.817453,34.693722],[-76.990262,34.669623],[-77.136843,34.632926],[-77.209161,34.605032],[-77.322524,34.535574],[-77.462922,34.471354],[-77.556943,34.417218],[-77.661673,34.341868],[-77.740136,34.272546],[-77.829209,34.162618],[-77.878161,34.067963],[-77.915536,33.971723],[-77.946568,33.912261],[-77.960172,33.853315],[-77.970606,33.844517],[-78.009973,33.861406],[-78.018689,33.888289],[-78.095429,33.906031],[-78.17772,33.914272],[-78.276147,33.912364],[-78.383964,33.901946],[-78.509042,33.865515],[-78.541087,33.851112],[-79.358317,34.545358],[-79.675299,34.804744],[-80.797543,34.819786],[-80.782042,34.935782],[-80.93495,35.107409],[-81.041489,35.044703],[-81.057648,35.062433],[-81.058029,35.07319],[-81.052078,35.096276],[-81.032806,35.108049],[-81.038968,35.126299],[-81.05042,35.131048],[-81.044391,35.147918],[-81.239358,35.159974],[-82.27492,35.200071],[-82.314863,35.191089],[-82.32335,35.184789],[-82.344554,35.193115],[-82.361469,35.190831],[-82.36899,35.181747],[-82.379712,35.186884],[-82.378744,35.198053],[-82.390439,35.215395],[-82.403348,35.204473],[-82.417597,35.200131],[-82.439595,35.165863],[-82.448969,35.165037],[-82.455609,35.177425],[-82.460092,35.178143],[-82.483937,35.173798],[-82.495506,35.164312],[-82.516044,35.163442],[-82.529973,35.155617],[-82.550508,35.159498],[-82.556168,35.151736],[-82.563767,35.151575],[-82.578316,35.142104],[-82.609706,35.139039],[-82.629031,35.126155],[-82.642237,35.129215],[-82.662381,35.118123],[-82.683625,35.125833],[-82.694898,35.098456],[-82.72701,35.094142],[-82.738379,35.079453],[-82.749491,35.078487],[-82.757704,35.068019],[-82.777376,35.064143],[-82.781973,35.066817],[-82.776357,35.081349],[-82.787867,35.085024],[-83.108535,35.000771],[-83.620185,34.992091],[-83.619985,34.986592],[-84.321869,34.988408],[-84.29024,35.225572],[-84.28322,35.226577],[-84.223718,35.269078],[-84.211818,35.266078],[-84.202879,35.255772],[-84.200117,35.244679],[-84.188417,35.239979],[-84.170416,35.245779],[-84.12889,35.243679],[-84.12115,35.250644],[-84.097508,35.247382],[-84.081117,35.261146],[-84.052612,35.269982],[-84.02141,35.301383],[-84.02651,35.309283],[-84.03501,35.311983],[-84.029377,35.333197],[-84.038081,35.348363],[-84.024756,35.353896],[-84.007586,35.371661],[-84.008207,35.389683],[-84.021782,35.407418],[-84.00225,35.422548],[-83.992568,35.438065],[-83.973057,35.448921],[-83.971439,35.455145],[-83.966656,35.454941],[-83.961054,35.462838],[-83.949389,35.461164],[-83.937015,35.471511],[-83.911773,35.476028],[-83.905612,35.48906],[-83.880074,35.518745],[-83.859261,35.521851],[-83.848502,35.519259],[-83.827428,35.524653],[-83.802434,35.541588],[-83.780129,35.550387],[-83.771736,35.562118],[-83.749894,35.561146],[-83.735669,35.565455],[-83.723459,35.561874],[-83.707199,35.568533],[-83.676268,35.570289],[-83.640498,35.566075],[-83.608889,35.579451],[-83.582,35.562684],[-83.56609,35.565993],[-83.498335,35.562981],[-83.485527,35.568204],[-83.479317,35.582764],[-83.455722,35.598045],[-83.445802,35.611803],[-83.421576,35.611186],[-83.396626,35.62272],[-83.388602,35.632352],[-83.366941,35.638728],[-83.35156,35.659858],[-83.334965,35.665471],[-83.321101,35.662815],[-83.312757,35.654809],[-83.297154,35.65775],[-83.290682,35.672638],[-83.258117,35.691924],[-83.255489,35.714974],[-83.251247,35.719916],[-83.240669,35.72676],[-83.214501,35.724434],[-83.18837,35.729798],[-83.159208,35.764892],[-83.120183,35.766234],[-83.07403,35.790016],[-83.036209,35.787405],[-83.001473,35.773752],[-82.992053,35.773948],[-82.964088,35.78998],[-82.961724,35.800491],[-82.945515,35.824662],[-82.920171,35.841664],[-82.918312,35.863977],[-82.901301,35.872593],[-82.901843,35.890274],[-82.911936,35.921618],[-82.901577,35.931446],[-82.898506,35.9451],[-82.874159,35.952698],[-82.860724,35.94743],[-82.852554,35.949089],[-82.826045,35.929721],[-82.82257,35.922531],[-82.804997,35.927168],[-82.805771,35.935316],[-82.800431,35.944155],[-82.787465,35.952163],[-82.785356,35.96253],[-82.774905,35.971978],[-82.785558,35.977795],[-82.785267,35.987927],[-82.776001,36.000103],[-82.750065,36.006004],[-82.688865,36.038604],[-82.684765,36.045004],[-82.637165,36.065805],[-82.618664,36.056105],[-82.618164,36.047005],[-82.609663,36.044906],[-82.596177,36.03188],[-82.595525,36.026012],[-82.614362,36.003506],[-82.613028,35.994],[-82.604239,35.987319],[-82.610889,35.967409],[-82.581003,35.965557],[-82.576678,35.959255],[-82.557874,35.953901],[-82.549682,35.964275],[-82.507068,35.977475],[-82.483498,35.996284],[-82.460658,36.007809],[-82.409458,36.083409],[-82.355157,36.115609],[-82.336756,36.114909],[-82.321448,36.119551],[-82.289455,36.13571],[-82.270954,36.12761],[-82.260353,36.13371],[-82.247521,36.130865],[-82.213852,36.159112],[-82.182549,36.143714],[-82.147948,36.149516],[-82.136547,36.128817],[-82.137974,36.119576],[-82.127146,36.104417],[-82.105444,36.108119],[-82.080303,36.105728],[-82.061342,36.113121],[-82.054142,36.126821],[-82.033141,36.120422],[-81.908137,36.302013],[-81.879382,36.313767],[-81.857333,36.334787],[-81.841268,36.343321],[-81.800812,36.358073],[-81.766102,36.338517],[-81.730976,36.341187],[-81.707438,36.335171],[-81.707785,36.346007],[-81.721334,36.353101],[-81.732865,36.376502],[-81.729813,36.388033],[-81.737952,36.39719],[-81.739648,36.406686],[-81.720734,36.422537],[-81.715229,36.436532],[-81.71489,36.45722],[-81.695311,36.467912],[-81.697829,36.507544],[-81.707573,36.526101],[-81.707963,36.536209],[-81.699962,36.536829],[-81.69003,36.552154],[-81.690236,36.568718],[-81.677036,36.570718],[-81.677535,36.588117],[-81.003802,36.563629],[-80.837954,36.559131],[-80.704831,36.562319],[-80.295243,36.543973],[-80.122183,36.542646],[-78.529722,36.540981],[-77.16966,36.547315],[-77.152691,36.544078],[-76.916048,36.543815],[-76.916989,36.550742],[-76.12236,36.550621]]]]},\"properties\":{\"name\":\"North Carolina\",\"nation\":\"USA \"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
The U.S. Geological Survey (USGS) North Atlantic-Appalachian Region is developing the regionwide capacity to provide timely science support for decision-makers attempting to enhance carbon removal, sequestration, and emissions mitigation to meet national atmospheric carbon reduction goals. The U.S. Environmental Protection Agency (EPA) reported that in 2021, the fourteen States and the District of Columbia in the northeastern region account about for approximately 18 percent of the total national greenhouse gas (GHG) emissions. This Fact Sheet provides a summary of USGS science information and ongoing and new investigations or data-collection programs that may help the northeastern region decrease the release of carbon-containing GHG to the atmosphere.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233038","usgsCitation":"Warwick, P.D., Blondes, M.S., Brennan, S.T., Cahan, S.M., Karacan, C.Ö., Kroeger, K.D., and Merrill, M.D., 2023, Geologic carbon management options for the North Atlantic-Appalachian Region: U.S. Geological Survey Fact Sheet 2023–3038, 6 p., https://doi.org/10.3133/fs20233038.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149218","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":422295,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3038/fs20233038.XML"},{"id":422291,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3038/coverthb.jpg"},{"id":422294,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3038/images/"},{"id":422293,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233038/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3038"},{"id":422292,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3038/fs20233038.pdf","text":"Report","size":"4.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3038"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.26577580636953,\n 36.4871201165721\n ],\n [\n -75.46948418608685,\n 38.28668271756587\n ],\n [\n -73.51070016109207,\n 41.05603971547217\n ],\n [\n -71.95706878291493,\n 41.50333448444454\n ],\n [\n -71.00596870454174,\n 42.379951218421894\n ],\n [\n -70.18176569603114,\n 43.65118954946408\n ],\n [\n -67.0599117586491,\n 44.903001098203504\n ],\n [\n -68.03473227073835,\n 47.25857286501821\n ],\n [\n -69.06116066206772,\n 47.51130156334898\n ],\n [\n -71.18990395428646,\n 45.21595765124482\n ],\n [\n -74.64906462208842,\n 44.958321658703426\n ],\n [\n -77.16670105999457,\n 41.68183359906362\n ],\n [\n -82.15942155266379,\n 36.60328960559353\n ],\n [\n -77.26577580636953,\n 36.4871201165721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Center Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Changes in groundwater quality have been evaluated for more than 2,200 wells in 25 Principal Aquifers in the United States based on repeated decadal sampling (once every 10 years) from 1988 to 2021. The purpose of this study is to identify contaminants with changing concentrations, the locations and magnitude of those changes, the factors driving those changes, the obstacles to interpreting the changes, and approaches to ameliorate those obstacles. Sampling was conducted in 89 networks of 20–30 wells each that represent various geographic regions, aquifer types and land use types. Each network, and the wells that comprise them, are sampled on a rotating basis once every 10 years. Of the 28 constituents evaluated for trends, concentrations of Na, Cl, dissolved solids, SO4, and NO3 exhibited statistically significant increases at the network level more frequently than other constituents. Factors affecting trends in Cl and NO3 are emphasized in this study. Regional patterns show large increases of Cl in urban areas in the Northeast and Midcontinent, where road-deicing salt application rates are 10 to 100 times greater than in other regions of the country, and in semiarid and arid regions of the western United States, where evaporation concentrates solutes in recharge. The largest increases in NO3 were in agricultural areas of the semiarid west, arid west and Pacific regions which are characterized by oxic groundwater, long-term increases in nitrogen fertilizer usage, and high rates of irrigation. However, finding a direct relation between increasing contaminant sources and corresponding groundwater quality response, particularly when sampling once every 10 years, can be complicated by factors such as uncertainty in the timing, mass, and location of contaminant sources, groundwater residence time (recharge date), geochemical conditions in the aquifer that affect contaminant transport, and variability in water quality due to climatic factors such as seasonality and hydrologic conditions. Understanding groundwater residence time allows the changes in groundwater quality to be evaluated in the context of recharge date rather than the sample date. Likewise, information on geochemical characteristics of the aquifer can be helpful for understanding relations between contaminant source inputs and groundwater concentrations. For example, oxic geochemical conditions in the aquifer may allow for conservative transport and accumulation of NO3 in groundwater, whereas reducing environments could favor NO3 degradation. Differences in hydrologic conditions (wetter or drier than average) on the date of sampling could impact the statistical results of sampling at decadal intervals and obscure long-term patterns. Samples collected under substantially different hydrologic conditions can be identified, and high-frequency sampling can improve interpretation of measured results in these cases. Although decadal sampling and associated water-quality interpretations have limitations, repeated, scheduled sampling of thousands of wells over multiple decades has great value for identifying and understanding long-term, regional groundwater-quality trends. Despite these limitations, the concepts presented herein provide options that could be used to interpret trends or changes when sampling over longer timespans, which is less common than trend networks with higher frequency sampling intervals.
Iceland's exposure to major ocean current pathways of the central North Atlantic makes it a useful location for developing long-term proxy records of past marine climate. Such records provide more detailed understanding of the full range of past variability which is necessary to improve predictions of future changes. We constructed a 225-year (1791–2015 CE) master shell growth chronology from 29 shells of Arctica islandica collected at 100 m water depth in southwest Iceland (Faxaflói). The growth chronology provides a robust age model for shell oxygen isotope (δ18Oshell) data produced at annual resolution for 251 years (1765–2015 CE). The temperature reconstruction derived from δ18Oshell shows coherence with May–October local surface temperature records and sea surface temperatures in the North Atlantic region, suggesting it is a useful proxy indicator of water temperature variability at 100 m depth within Faxaflói. Field correlations between the shell-based records and gridded sea surface temperature data reveal strong positive correlations between the 1-year lagged shell growth and temperatures within the subpolar gyre post-1972, suggesting a delayed influence of subpolar gyre dynamics on ecological indicators in southwest Iceland in recent decades. However, the shell growth chronology and δ18Oshell record generally show relatively weak and insignificant correlations with larger region climate indices including the Atlantic Multidecadal Variability, North Atlantic Oscillation, and East Atlantic pattern. Therefore the interannual variations in the newly produced shell-based records appear to reflect more local to regional dynamics around southwest Iceland than large-scale modes of climate variability.
Inland flooding, sea-level rise, and pollution pose challenges for Maine’s infrastructure and natural resources. A highly detailed, three-dimensional (3D) model of the Earth’s surface is allowing the State of Maine to address these challenges in an increasingly comprehensive and timely manner. In addition, highly accurate elevation data facilitate land development, forest management, agricultural practices, and wildlife conservation, all of which are key pillars of Maine’s economy. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed 3D model of the Earth’s surface and aboveground features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233036","usgsCitation":"Walters, D.H., 2023, The 3D Elevation Program—Supporting Maine’s economy: U.S. Geological Survey Fact Sheet 2023–3036, 2 p., https://doi.org/10.3133/fs20233036","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-127125","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":421597,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3036/fs20233036.XML"},{"id":421596,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3036/images/"},{"id":421595,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233036/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3036"},{"id":421594,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3036/fs20233036.pdf","text":"Report","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3036"},{"id":421593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3036/coverthb2.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.152589,43.746794],[-70.158456,43.751616],[-70.147646,43.758585],[-70.145911,43.772119],[-70.128271,43.774009],[-70.14089,43.753204],[-70.152589,43.746794]]],[[[-70.135957,43.753219],[-70.129721,43.76408],[-70.117688,43.765693],[-70.135957,43.753219]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.200116,43.662978],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.210825,43.661695],[-70.213948,43.666161],[-70.201893,43.685483],[-70.191041,43.689071],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.146115,43.701635],[-70.135563,43.700658],[-70.154503,43.680933],[-70.168227,43.675136],[-70.173571,43.683734],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.093704,43.6918],[-70.099594,43.695366],[-70.115908,43.682978],[-70.118174,43.686375],[-70.093113,43.710524],[-70.097184,43.700929],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.094986,43.753211],[-70.107812,43.734555],[-70.108978,43.722312],[-70.129383,43.70832],[-70.138128,43.718231],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.502942,44.099722],[-68.51706,44.10341],[-68.518703,44.113222],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.331032,44.10758],[-68.338012,44.101473],[-68.365176,44.101464],[-68.375382,44.11646],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.396634,44.14069],[-68.438518,44.11618],[-68.448646,44.125581],[-68.447505,44.133493],[-68.456813,44.145268],[-68.496639,44.146855],[-68.502096,44.152388],[-68.500817,44.160026],[-68.474365,44.181875],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.612749,44.207722],[-68.624994,44.197637],[-68.618872,44.18107],[-68.643002,44.15766],[-68.670014,44.151537],[-68.675056,44.137131],[-68.681899,44.138212],[-68.692343,44.153698],[-68.713232,44.160541],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.718635,44.228611],[-68.700627,44.234013],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.333227,44.207308],[-68.314789,44.197157],[-68.321178,44.199032],[-68.332639,44.192131],[-68.339029,44.171839],[-68.347416,44.169459],[-68.378872,44.184222],[-68.364469,44.197534],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.459182,44.197681],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.769047,44.213351],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.827627,44.242838],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.214641,44.263156],[-68.211329,44.257074],[-68.24031,44.251622],[-68.240806,44.239723],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.246598,44.257836],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.657031,44.003823],[-68.659874,44.022758],[-68.650767,44.039908],[-68.661594,44.075837],[-68.627893,44.088128],[-68.6181,44.096706],[-68.609722,44.094674],[-68.584074,44.070578],[-68.590792,44.058662],[-68.601099,44.058362],[-68.610703,44.013422],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.874139,44.025359],[-68.889717,44.032516],[-68.899997,44.06696],[-68.913406,44.08519],[-68.908984,44.110001],[-68.944597,44.11284],[-68.917286,44.148239],[-68.847249,44.183017],[-68.825067,44.186338],[-68.819156,44.180462],[-68.82284,44.173693],[-68.818423,44.160978],[-68.782375,44.14531],[-68.792065,44.136759],[-68.818039,44.136852],[-68.820515,44.130198],[-68.815562,44.115836],[-68.806832,44.116339],[-68.790525,44.09292],[-68.772639,44.078439],[-68.77029,44.069566],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.571774,44.453403],[-67.588346,44.449754],[-67.604919,44.502056],[-67.619211,44.506009],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.919325,44.335392],[-68.90353,44.378613],[-68.87894,44.386584],[-68.868444,44.38144],[-68.860649,44.364425],[-68.87169,44.344662],[-68.89285,44.334653],[-68.896587,44.321986],[-68.88746,44.303094],[-68.904255,44.279889],[-68.916872,44.242866],[-68.95189,44.218719],[-68.94709,44.226792],[-68.955332,44.243873],[-68.965896,44.249754],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-70.353392,43.535405],[-70.379123,43.507202],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.384949,43.418839],[-70.39089,43.402607],[-70.421282,43.395777],[-70.427672,43.389254],[-70.424986,43.375928],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.576692,43.217651],[-70.618973,43.163625],[-70.638355,43.114182],[-70.655322,43.098008],[-70.665958,43.076234],[-70.703818,43.059825],[-70.708896,43.074989],[-70.737897,43.073488],[-70.756397,43.079988],[-70.766398,43.092688],[-70.779098,43.095887],[-70.8268,43.127086],[-70.8338,43.146886],[-70.823501,43.174585],[-70.828301,43.186685],[-70.819146,43.195157],[-70.811852,43.228306],[-70.817773,43.237408],[-70.837274,43.242321],[-70.843302,43.254321],[-70.858207,43.256286],[-70.861384,43.263143],[-70.881704,43.272483],[-70.886504,43.282783],[-70.906005,43.291682],[-70.900386,43.301358],[-70.91246,43.308289],[-70.912004,43.319821],[-70.93711,43.337367],[-70.956528,43.334691],[-70.967229,43.343777],[-70.985965,43.380023],[-70.98739,43.393457],[-70.982565,43.39778],[-70.987249,43.411863],[-70.96115,43.438321],[-70.9669,43.450458],[-70.961428,43.469696],[-70.974245,43.47742],[-70.967968,43.480783],[-70.954755,43.509802],[-70.954066,43.52261],[-70.963281,43.538929],[-70.950838,43.551026],[-70.972716,43.570255],[-70.989037,43.792154],[-71.031039,44.655455],[-71.084334,45.305293],[-71.059265,45.313753],[-71.030565,45.312652],[-71.00905,45.319022],[-71.002563,45.327819],[-71.011144,45.334679],[-71.01081,45.34725],[-70.985595,45.332188],[-70.950824,45.33453],[-70.939188,45.320177],[-70.917904,45.311924],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.898482,45.244088],[-70.885029,45.234873],[-70.857042,45.22916],[-70.83877,45.237555],[-70.848319,45.244707],[-70.848554,45.263325],[-70.839042,45.269132],[-70.829661,45.290369],[-70.812338,45.302006],[-70.808613,45.311606],[-70.808322,45.325824],[-70.816585,45.330554],[-70.819828,45.340109],[-70.81445,45.356544],[-70.803848,45.364247],[-70.806244,45.376558],[-70.826033,45.398408],[-70.795009,45.428145],[-70.755567,45.428361],[-70.744077,45.421091],[-70.743775,45.411925],[-70.729972,45.399359],[-70.712286,45.390611],[-70.677995,45.394362],[-70.66116,45.386039],[-70.660775,45.378176],[-70.651175,45.377123],[-70.634661,45.383608],[-70.631354,45.41634],[-70.635498,45.427817],[-70.649739,45.442771],[-70.674903,45.452399],[-70.691762,45.471233],[-70.717047,45.487732],[-70.721611,45.515058],[-70.687605,45.549099],[-70.688214,45.563981],[-70.659286,45.58688],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.438878,45.704387],[-70.400404,45.719834],[-70.383552,45.734869],[-70.388501,45.749717],[-70.406548,45.761813],[-70.417641,45.79377],[-70.395907,45.798885],[-70.39662,45.808486],[-70.387916,45.819043],[-70.34244,45.852192],[-70.306162,45.85974],[-70.259117,45.890755],[-70.253897,45.906524],[-70.263313,45.923832],[-70.240177,45.943729],[-70.26541,45.962692],[-70.31628,45.963113],[-70.307463,45.982541],[-70.284571,45.995384],[-70.303034,45.998976],[-70.317629,46.01908],[-70.278334,46.057019],[-70.284176,46.062758],[-70.310609,46.064544],[-70.284554,46.098713],[-70.254021,46.0996],[-70.255038,46.108348],[-70.237947,46.147378],[-70.278034,46.175001],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.232682,46.284428],[-70.205719,46.299865],[-70.203119,46.31438],[-70.208733,46.328961],[-70.191412,46.348072],[-70.174709,46.358472],[-70.148529,46.358923],[-70.129734,46.369384],[-70.125459,46.381352],[-70.11044,46.38611],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.203886,47.452203],[-69.178412,47.456615],[-69.146439,47.44886],[-69.082508,47.423976],[-69.061192,47.433052],[-69.043947,47.427634],[-69.036882,47.407977],[-69.045403,47.39191],[-69.039818,47.386309],[-69.053885,47.377878],[-69.054628,47.315911],[-69.049118,47.306471],[-69.052748,47.294403],[-69.047076,47.267089],[-69.050334,47.256621],[-69.033456,47.240984],[-68.966433,47.212712],[-68.96113,47.205582],[-68.942484,47.206386],[-68.920253,47.195048],[-68.919752,47.189859],[-68.902425,47.178839],[-68.857519,47.19095],[-68.812157,47.215461],[-68.764487,47.222331],[-68.717867,47.240919],[-68.705314,47.238066],[-68.687662,47.244215],[-68.664071,47.236762],[-68.619749,47.243218],[-68.595427,47.257698],[-68.59688,47.271731],[-68.578551,47.287551],[-68.553896,47.28225],[-68.517982,47.296092],[-68.474851,47.297534],[-68.448844,47.282547],[-68.378678,47.287561],[-68.376319,47.294257],[-68.384706,47.305094],[-68.380334,47.340242],[-68.355171,47.35707],[-68.329879,47.36023],[-68.303778,47.355524],[-68.284101,47.360389],[-68.265138,47.352543],[-68.234604,47.355035],[-68.214551,47.339637],[-68.15515,47.32542],[-68.152302,47.309878],[-68.137059,47.296068],[-68.082896,47.271921],[-68.074061,47.259764],[-68.019724,47.238036],[-67.991871,47.212042],[-67.955669,47.199542],[-67.935868,47.164843],[-67.893266,47.129943],[-67.881302,47.103913],[-67.790515,47.067921],[-67.781095,45.943032],[-67.777626,45.934207],[-67.750422,45.917898],[-67.763725,45.91043],[-67.767827,45.898568],[-67.803318,45.883718],[-67.803678,45.869379],[-67.796514,45.859961],[-67.755068,45.82367],[-67.780507,45.817622],[-67.801989,45.803546],[-67.806598,45.794723],[-67.806308,45.755405],[-67.793083,45.750559],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.803313,45.677886],[-67.768648,45.677581],[-67.754245,45.667791],[-67.720401,45.662522],[-67.71799,45.665243],[-67.73372,45.684233],[-67.734605,45.688987],[-67.729908,45.689012],[-67.710464,45.679372],[-67.675417,45.630959],[-67.64581,45.613597],[-67.640238,45.616178],[-67.644206,45.62322],[-67.639741,45.624771],[-67.606172,45.606533],[-67.499444,45.587014],[-67.488452,45.594643],[-67.491061,45.598917],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.425399,45.540795],[-67.432236,45.541023],[-67.435275,45.530781],[-67.432207,45.519996],[-67.416416,45.503515],[-67.462882,45.508691],[-67.470732,45.500067],[-67.503088,45.489688],[-67.499767,45.47805],[-67.482353,45.460825],[-67.484328,45.451955],[-67.473366,45.425328],[-67.430001,45.392965],[-67.418747,45.37726],[-67.434281,45.365438],[-67.427797,45.355471],[-67.434996,45.340133],[-67.456288,45.32644],[-67.452267,45.316839],[-67.460554,45.300379],[-67.466091,45.29416],[-67.485683,45.291433],[-67.489464,45.282653],[-67.46357,45.244097],[-67.453473,45.241127],[-67.43998,45.227047],[-67.428889,45.193213],[-67.407139,45.179425],[-67.404629,45.159926],[-67.383635,45.152259],[-67.345585,45.126392],[-67.294881,45.149666],[-67.302568,45.161348],[-67.291417,45.17145],[-67.290603,45.187589],[-67.283619,45.192022],[-67.246697,45.180765],[-67.242293,45.17224],[-67.227324,45.163652],[-67.203933,45.171407],[-67.157919,45.161004],[-67.112414,45.112323],[-67.090786,45.068721],[-67.105899,45.065786],[-67.117688,45.05673],[-67.082074,45.029608],[-67.068274,45.001014],[-67.05461,44.986764],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.975009,44.815495],[-66.952112,44.82007],[-66.950569,44.814539],[-66.961068,44.807269],[-66.979708,44.80736],[-67.02615,44.768199],[-67.04335,44.765071],[-67.05516,44.771442],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.128792,44.695421],[-67.139209,44.693849],[-67.155119,44.66944],[-67.169857,44.662105],[-67.186612,44.66265],[-67.192068,44.655515],[-67.189427,44.645533],[-67.234275,44.637201],[-67.251247,44.640825],[-67.274122,44.626345],[-67.27706,44.61795],[-67.273076,44.610873],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.310745,44.613212],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.307909,44.691295],[-67.300144,44.696752],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.381149,44.66947],[-67.367298,44.652472],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.492373,44.61795],[-67.493632,44.628863],[-67.505804,44.636837],[-67.522802,44.63306],[-67.530777,44.621938],[-67.543368,44.626554],[-67.551133,44.621938],[-67.575056,44.560659],[-67.562321,44.539435],[-67.568159,44.531117],[-67.648506,44.525403],[-67.660678,44.537575],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.742942,44.526453],[-67.753854,44.543661],[-67.774001,44.547438],[-67.779457,44.543661],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.845772,44.551636],[-67.843254,44.542822],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.868875,44.456881],[-67.851764,44.428695],[-67.855108,44.419434],[-67.868856,44.424672],[-67.878509,44.435585],[-67.887323,44.433066],[-67.899571,44.394078],[-67.913346,44.430128],[-67.926357,44.431807],[-67.931453,44.411848],[-67.955737,44.416278],[-67.961613,44.4125],[-67.961613,44.39907],[-67.978876,44.387034],[-67.985668,44.386917],[-68.000646,44.406624],[-68.010719,44.407464],[-68.019533,44.396971],[-68.01399,44.390255],[-68.034223,44.360456],[-68.044296,44.357938],[-68.043037,44.343667],[-68.049334,44.33073],[-68.067047,44.335692],[-68.076066,44.347925],[-68.077873,44.373047],[-68.086268,44.376405],[-68.092983,44.370949],[-68.11229,44.401588],[-68.119845,44.445658],[-68.117746,44.475038],[-68.150904,44.482383],[-68.17105,44.470211],[-68.194554,44.47189],[-68.189517,44.478605],[-68.192036,44.487419],[-68.213861,44.492456],[-68.223934,44.487],[-68.224354,44.464335],[-68.22939,44.463496],[-68.2445,44.471051],[-68.252474,44.483222],[-68.261708,44.484062],[-68.270522,44.459718],[-68.281015,44.451324],[-68.298223,44.449225],[-68.299063,44.437893],[-68.294865,44.432857],[-68.268423,44.440411],[-68.247438,44.433276],[-68.24366,44.420685],[-68.249956,44.414809],[-68.21554,44.390466],[-68.20354,44.392365],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.275139,44.288895],[-68.289409,44.283858],[-68.298223,44.276303],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.343132,44.229505],[-68.377982,44.247563],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.409027,44.32562],[-68.421619,44.336113],[-68.409867,44.356259],[-68.396552,44.363941],[-68.398035,44.376191],[-68.3581,44.392337],[-68.359082,44.402847],[-68.3791,44.430049],[-68.387678,44.430936],[-68.392559,44.41807],[-68.416412,44.397973],[-68.427874,44.3968],[-68.433901,44.401534],[-68.429648,44.439136],[-68.439281,44.448043],[-68.455095,44.447498],[-68.46382,44.436592],[-68.458849,44.412141],[-68.464106,44.398078],[-68.461072,44.378504],[-68.466109,44.377245],[-68.47828,44.378084],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.485415,44.434326],[-68.494649,44.429709],[-68.499686,44.414179],[-68.51452,44.41334],[-68.529905,44.39907],[-68.555088,44.403687],[-68.565161,44.39907],[-68.564741,44.385219],[-68.559285,44.374307],[-68.550051,44.371788],[-68.545434,44.355],[-68.563209,44.333039],[-68.566203,44.313007],[-68.556236,44.300819],[-68.538595,44.299902],[-68.531532,44.290388],[-68.528611,44.276117],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.550802,44.236534],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.825419,44.334547],[-68.814811,44.362194],[-68.821767,44.40894],[-68.815325,44.42808],[-68.801634,44.434803],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.931934,44.43869],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.978815,44.38634],[-68.961111,44.375076],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.079835,44.160953],[-69.075667,44.129991],[-69.080331,44.117824],[-69.100863,44.104529],[-69.101107,44.093601],[-69.092,44.085734],[-69.050814,44.094888],[-69.031878,44.079036],[-69.048917,44.062506],[-69.056093,44.06949],[-69.067876,44.067596],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.193805,43.975543],[-69.19633,43.950504],[-69.203668,43.941806],[-69.259838,43.921427],[-69.267515,43.943667],[-69.280498,43.95744],[-69.31427,43.942951],[-69.319751,43.94487],[-69.304301,43.962068],[-69.331411,43.974311],[-69.351961,43.974748],[-69.366702,43.964755],[-69.388059,43.96434],[-69.398455,43.971804],[-69.421072,43.938261],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.513267,43.84479],[-69.520301,43.868498],[-69.524673,43.875639],[-69.543912,43.881615],[-69.54945,43.880012],[-69.545028,43.861241],[-69.552606,43.841347],[-69.572697,43.844012],[-69.578527,43.823316],[-69.588551,43.81836],[-69.604179,43.813551],[-69.604616,43.825793],[-69.592373,43.830895],[-69.589167,43.851299],[-69.594705,43.858878],[-69.604616,43.858004],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.664922,43.791033],[-69.685579,43.820546],[-69.705838,43.823024],[-69.714873,43.810264],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.855081,43.704746],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.884066,43.778035],[-69.903164,43.77239],[-69.927011,43.780174],[-69.948539,43.765948],[-69.958056,43.767786],[-69.982574,43.750801],[-69.992615,43.724793],[-70.001645,43.717666],[-70.006954,43.717065],[-69.998793,43.740385],[-70.001708,43.744466],[-70.041351,43.738053],[-70.034355,43.759041],[-69.99821,43.798684],[-70.002874,43.812093],[-70.011035,43.810927],[-70.026193,43.822587],[-70.023278,43.834247],[-70.002874,43.848239],[-70.009869,43.859315],[-70.019197,43.858733],[-70.064671,43.813259],[-70.06642,43.819672],[-70.080995,43.819672],[-70.107229,43.809178],[-70.142792,43.791688],[-70.153869,43.781194],[-70.153869,43.774781],[-70.176023,43.76079],[-70.17544,43.777113],[-70.190014,43.771866],[-70.197593,43.753211],[-70.194678,43.742134],[-70.217998,43.71998],[-70.216832,43.704822],[-70.23199,43.704822],[-70.251812,43.683251],[-70.254144,43.676839],[-70.242289,43.669544],[-70.240987,43.659132],[-70.211204,43.625765],[-70.217087,43.596717],[-70.214369,43.590445],[-70.20112,43.586515],[-70.196911,43.565146],[-70.206123,43.557627],[-70.231963,43.561118],[-70.244331,43.551849],[-70.261917,43.553687],[-70.272497,43.562616],[-70.307764,43.544315],[-70.353392,43.535405]]]]},\"properties\":{\"name\":\"Maine\",\"nation\":\"USA \"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Native Bull Trout Salvelinus confluentus populations can be influenced by a variety of stressors operating at multiple spatial scales, making the relative importance of biotic versus abiotic controls difficult to discern at small scales where monitoring and management typically occur. Nonnative Brook Trout S. fontinalis were widely introduced throughout western North America and negatively affect Bull Trout occurrence. Here, we examine reach-scale associations between nonnative Brook Trout and juvenile and stream-resident Bull Trout (i.e., <250 mm) abundances through the lens of a constraining threshold, where nonnative fish exceeding a certain fish density may constrain native fish abundance.
We used a large spatial data set to define the abiotic conditions in which stream-dwelling Brook Trout and Bull Trout smaller than 250 mm typically co-occur in Idaho. Next, we queried multipass electrofishing survey data collected in reaches with abiotic conditions suitable for both species within localized areas where their distributions overlap. We then used two-dimensional Kolmogorov–Smirnov tests to identify threshold Brook Trout densities beyond which Bull Trout less than 250 mm were consistently rare or absent.
Bull Trout smaller than 250 mm were rare or absent where Brook Trout density exceeded 0.54 fish/100 m2 across the full range of abiotic conditions over which both species overlapped. However, Brook Trout rarely occurred in habitats associated with high Bull Trout density (e.g., where mean August water temperatures were 8.2°C).
Our results support existing hypotheses that the long-term co-occurrence of Bull Trout and Brook Trout in stream reaches suitable for both species may be unstable. Because low densities of Brook Trout appear to threaten Bull Trout, additional research is needed to better understand factors driving ongoing range shifts and invasion dynamics in Bull Trout habitat. We provide a simple tool to inform where Brook Trout represent a primary threat to Bull Trout, with potential applications for future monitoring, threat assessments, and conservation efforts.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10443","usgsCitation":"Voss, N.S., Bowersox, B.J., and Quist, M.C., 2023, Reach-scale associations between introduced Brook Trout and juvenile and stream-resident Bull Trout in Idaho: Transactions of American Fisheries Society, v. 152, no. 6, p. 835-848, https://doi.org/10.1002/tafs.10443.","productDescription":"14 p.","startPage":"835","endPage":"848","ipdsId":"IP-151044","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10443","text":"Publisher Index Page"},{"id":430209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.03090213547928,\n 43.207652040414814\n ],\n [\n -111.03202746708995,\n 43.2200826637544\n ],\n [\n -111.0540054745273,\n 44.480723993881384\n ],\n [\n -111.38063590540663,\n 44.7211838491711\n ],\n [\n -112.32600707694,\n 44.55386220030201\n ],\n [\n -112.43093922496412,\n 44.442261666637535\n ],\n [\n -112.72674441255437,\n 44.47967351071486\n ],\n [\n -112.91781898200888,\n 44.39232271637843\n ],\n [\n -113.16440598999255,\n 44.75171823057957\n ],\n [\n -113.95671663335192,\n 45.68966966579467\n ],\n [\n -114.36026790153626,\n 45.48555124417567\n ],\n [\n -114.50723744474614,\n 45.62020392465001\n ],\n [\n -114.35705754509375,\n 45.933639277473816\n ],\n [\n -114.48977698881906,\n 46.13114309755966\n ],\n [\n -114.3482896820553,\n 46.72004445964737\n ],\n [\n -116.11637073698459,\n 48.05164962026552\n ],\n [\n -116.08451122563832,\n 49.02927481424686\n ],\n [\n -117.08709255417494,\n 48.99980579823804\n ],\n [\n -117.00949159691567,\n 46.35873140197231\n ],\n [\n -116.97263402539582,\n 46.10668853292651\n ],\n [\n -116.7397249746474,\n 45.80229784972218\n ],\n [\n -116.49957941400402,\n 45.606539467598054\n ],\n [\n -117.19912136100515,\n 44.563237965950606\n ],\n [\n -117.18632347100339,\n 44.35506960028275\n ],\n [\n -116.92238694239666,\n 44.13046718217083\n ],\n [\n -117.05970457356327,\n 43.781652784475654\n ],\n [\n -117.03090213547928,\n 43.207652040414814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"152","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":300117,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":903853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":903854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70253016,"text":"70253016 - 2023 - Multi-year tracing of spatial and temporal dynamics of post-fire aeolian sediment transport using rare earth elements provide insights into grassland management","interactions":[],"lastModifiedDate":"2024-04-16T15:28:42.457575","indexId":"70253016","displayToPublicDate":"2023-11-03T10:21:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Multi-year tracing of spatial and temporal dynamics of post-fire aeolian sediment transport using rare earth elements provide insights into grassland management","docAbstract":"Aeolian sediment transport occurs as a function of, and with feedback to ecosystem changes and disturbances. Many desert grasslands are undergoing rapid changes in vegetation, including the encroachment of woody plants, which alters fire regimes and in turn can change the spatial and temporal patterns of aeolian sediment transport. We investigated aeolian sediment transport and spatial distribution of sediment in the surface soil for 7 years following a prescribed fire using a multiple rare earth element (REE) tracer-based approach in a shrub-encroached desert grassland in the northern Chihuahuan desert. Results indicate that even though the aeolian horizontal sediment mass flux increased approximately three-fold in the first windy season in the burned areas compared to control areas, there were no significant differences after three windy seasons. The soil surface of bare microsites was the major contributor of aeolian sediments in unburned areas (87%), while the shrub microsites contributed the least (<2%) during the observation period. However, after the prescribed fire, the contribution of aeolian sediments from shrub microsites increased considerably (∼40%), indicating post-fire microsite-scale sediment redistribution. The findings of this study, which is the first to use multiple REE tracers for multi-year analysis of the spatial and temporal dynamics of aeolian sediment transport, illustrate how disturbance by prescribed fire can influence aeolian processes and alters dryland soil geomorphology in which distinct soils develop over time at very fine spatial scales of individual plants.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JF007274","usgsCitation":"Burger, W., Van Pelt, R., Grandstaff, D.E., Wang, G., Sankey, T.T., Li, J., Sankey, J., and Ravi, S., 2023, Multi-year tracing of spatial and temporal dynamics of post-fire aeolian sediment transport using rare earth elements provide insights into grassland management: JGR Earth Surface, v. 128, no. 11, e2023JF007274, 14 p., https://doi.org/10.1029/2023JF007274.","productDescription":"e2023JF007274, 14 p.","ipdsId":"IP-152706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hub.hku.hk/handle/10722/346087","text":"Publisher Index Page"},{"id":427814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Sevilleta National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.65733889400155,\n 34.2127641113686\n ],\n [\n -106.62006095022322,\n 34.271461787396234\n ],\n [\n -106.58337471983822,\n 34.291996301537665\n ],\n [\n -106.565031604646,\n 34.29004084968227\n ],\n [\n -106.53544593498066,\n 34.33940207253242\n ],\n [\n -106.54136306891363,\n 34.356500673562536\n ],\n [\n -106.52204807187447,\n 34.38238153401415\n ],\n [\n -106.51414425282168,\n 34.41265723174615\n ],\n [\n -106.52242824032804,\n 34.42290783985645\n ],\n [\n -106.54787191623993,\n 34.421931645603365\n ],\n [\n -106.56443989125265,\n 34.40631098753059\n ],\n [\n -106.79461640124795,\n 34.40582279495577\n ],\n [\n -106.7928412610679,\n 34.39898779978431\n ],\n [\n -106.79935010839421,\n 34.397523085320415\n ],\n [\n -106.8017169619676,\n 34.37603766137531\n ],\n [\n -106.80822580929392,\n 34.367246580637655\n ],\n [\n -106.80940923608061,\n 34.353081232333736\n ],\n [\n -106.81769322358696,\n 34.353081232333736\n ],\n [\n -106.8182849369803,\n 34.33940207253242\n ],\n [\n -106.82834406466618,\n 34.33842490429518\n ],\n [\n -106.82301864412658,\n 34.32816395045904\n ],\n [\n -106.8165101017286,\n 34.32799441346362\n ],\n [\n -106.8162369685427,\n 34.288498182102174\n ],\n [\n -106.83863805067143,\n 34.28973965096226\n ],\n [\n -106.8480014589941,\n 34.27739868995591\n ],\n [\n -106.85650943698998,\n 34.273863639690816\n ],\n [\n -106.86445055960294,\n 34.25861757542408\n ],\n [\n -106.88713506942291,\n 34.26279177457526\n ],\n [\n -106.89521790588161,\n 34.255860585046236\n ],\n [\n -106.89961618235087,\n 34.244009536730445\n ],\n [\n -106.89536991423239,\n 34.23953888509946\n ],\n [\n -106.89863190630986,\n 34.23566344460089\n ],\n [\n -106.89792591070791,\n 34.22757023097269\n ],\n [\n -106.89178164627651,\n 34.21694028458617\n ],\n [\n -106.87940197263308,\n 34.215684901805794\n ],\n [\n -106.86938086530095,\n 34.2037995726389\n ],\n [\n -106.86691116750615,\n 34.20956137714932\n ],\n [\n -106.85164664788284,\n 34.2061136487457\n ],\n [\n -106.8471523805339,\n 34.206885078288636\n ],\n [\n -106.83897355319604,\n 34.20554691256195\n ],\n [\n -106.82059132896667,\n 34.2065527430278\n ],\n [\n -106.79356456014825,\n 34.19349318646871\n ],\n [\n -106.78921200664541,\n 34.19731211545361\n ],\n [\n -106.77200406889604,\n 34.1885403353522\n ],\n [\n -106.73566476197426,\n 34.202624217060404\n ],\n [\n -106.73248649495105,\n 34.21225465652085\n ],\n [\n -106.65733889400155,\n 34.2127641113686\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Burger, William","contributorId":335645,"corporation":false,"usgs":false,"family":"Burger","given":"William","affiliations":[{"id":80455,"text":"Department of Earth & Environmental Science, Temple University, Philadelphia, PA, USA","active":true,"usgs":false}],"preferred":false,"id":898934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Pelt, Robert","contributorId":335646,"corporation":false,"usgs":false,"family":"Van Pelt","given":"Robert","email":"","affiliations":[{"id":80456,"text":"Wind Erosion and Water Conservation Research, USDA-ARS, Big Spring, TX, USA","active":true,"usgs":false}],"preferred":false,"id":898935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grandstaff, David E.","contributorId":202739,"corporation":false,"usgs":false,"family":"Grandstaff","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":898936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Guan","contributorId":202741,"corporation":false,"usgs":false,"family":"Wang","given":"Guan","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":898937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":898938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":898939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":898941,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249893,"text":"70249893 - 2023 - Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska-Aleutian arc","interactions":[],"lastModifiedDate":"2023-11-04T13:41:33.169601","indexId":"70249893","displayToPublicDate":"2023-11-03T08:38:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska-Aleutian arc","docAbstract":"Alaska contains over 130 volcanoes and volcanic fields that have been active within the last 2 million years. Of these, roughly 90 have erupted during the Holocene, with many characterized by at least one large explosive eruption. These large tephra-producing eruptions (LTPEs) generate orders of magnitude more erupted material than a “typical” arc explosive eruption and distribute ash thousands of kilometers from their source. Because LTPEs occur infrequently, and the proximal explosive deposit record in Alaska is generally limited to the Holocene, we require a method that links distal deposits to a source volcano where the correlative proximal deposits from that eruption are no longer preserved. We present a model that accurately and confidently identifies LTPE volcanic sources in the Alaska-Aleutian arc using only in situ geochemistry. The model is a voting ensemble classifier comprised of six conceptually different machine learning algorithms trained on proximal tephra deposits that have had their source positively identified. We show that incompatible trace element ratios (e.g., Nb/U, Th/La, Rb/Sm) help produce a feature space that contains significantly more variance than one produced by major element concentrations, ultimately creating a model that can achieve high accuracy, precision, and recall on predicted volcanic sources, regardless of the perceived 2D data distribution (i.e., bimodal, uniform, normal) or composition (i.e., andesite, trachyte, rhyolite) of that source. Finally, we apply our model to unidentified distal marine tephra deposits in the region to better understand explosive volcanism in the Alaska-Aleutian arc, specifically its pre-Holocene spatiotemporal distribution.
The United States Inland Creel and Angler Survey Catalog (CreelCat) contains a national compilation of angler and creel survey data collected by natural resource management agencies across the United States (including Washington, D.C. and Puerto Rico). These surveys are used to help inform the management of recreational fisheries, by collecting information about anglers including what they are catching and harvesting, the amount of effort they expend, their angling preferences, and demographic information. As of May 1, 2023, CreelCat houses over 14,729 surveys from 33 states, Puerto Rico, and Washington, D.C., comprising 235 data fields across 8 tables. These tables contain 235,015 records of fish catch and harvest metrics, 27,250 angler preference metrics, 14,729 records of survey characteristics, 13,576 records of effort metrics, and 409 records of angler demographics. Though individual creel surveys are often deployed to meet local science and management objectives, creel data aggregated across jurisdictions has the potential to address larger scale research and management needs.
Koocanusa Reservoir (KOC) is a waterbody that spans the United States (U.S.) and Canadian border. Increasing concentrations of total selenium (Se), nitrate + nitrite (NO3–, nitrite is insignificant or not present), and sulfate (SO42–) in KOC and downstream in the Kootenai River (Kootenay River in Canada) are tied to expanding coal mining operations in the Elk River Watershed, Canada. Using a paired watershed approach, trends in flow-normalized concentrations and loads were evaluated for Se, NO3–, and SO42– for the two largest tributaries, the Kootenay and Elk Rivers, Canada. Increases in concentration (SO42– 120%, Se 581%, NO3– 784%) and load (SO42– 129%, Se 443%, NO3– 697%) in the Elk River (1979–2022 for NO3–, 1984–2022 for Se and SO42–) are among the largest documented increases in the primary literature, while only a small magnitude increase in SO42– (7.7% concentration) and decreases in Se (−10%) and NO3– (−8.5%) were observed in the Kootenay River. Between 2009 and 2019, the Elk River contributed, on average, 29% of the combined flow, 95% of the Se, 76% of the NO3–, and 38% of the SO42– entering the reservoir from these two major tributaries. The largest increase in solute concentrations occurred during baseflows, indicating a change in solute transport and delivery dynamics in the Elk River Watershed, which may be attributable to altered landscapes from coal mining operations including altered groundwater flow paths and increased chemical weathering in waste rock dumps. More recently there is evidence of surface water treatment operations providing some reduction in concentrations during low flow times of year; however, these appear to have a limited effect on annual loads entering KOC. These findings imply that current mine water treatment, which is focused on surface waters, may not sufficiently reduce the influence of mine-waste-derived solutes in the Elk River to allow constituent concentrations in KOC to meet U.S. water-quality standards.
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":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science 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}]}} ]}