{"pageNumber":"26","pageRowStart":"625","pageSize":"25","recordCount":10951,"records":[{"id":70245777,"text":"70245777 - 2023 - Mapping abandoned uranium mine features using Worldview-3 imagery in portions of Karnes, Atascosa and Live Oak Counties, Texas","interactions":[],"lastModifiedDate":"2023-06-27T12:00:36.399687","indexId":"70245777","displayToPublicDate":"2023-06-22T06:54:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15678,"text":"MDPI-Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Mapping abandoned uranium mine features using Worldview-3 imagery in portions of Karnes, Atascosa and Live Oak Counties, Texas","docAbstract":"<div class=\"html-p\">Worldview-3 (WV3) 16-band multispectral data were used to map exposed bedrock and mine waste piles associated with legacy open-pit mining of sandstone-hosted roll-front uranium deposits along the South Texas Coastal Plain. We used the “spectral hourglass” approach to extract spectral endmembers representative of these features from the image. This approach first requires calibrating the imagery to reflectance, then masking for vegetation, followed by spatial and spectral data reduction using a principal component analysis-based procedure that reduces noise and identifies homogeneous targets which are “pure” enough to be considered spectral endmembers. In this case, we used a single WV3 image which covered an ~11.5 km by ~19.5 km area of Karnes, Atascosa and Live Oak Counties, underlain by mined rocks from the Jackson Group and Catahoula Formation. Up to 58 spectral endmembers were identified using a further multi-dimensional class segregation method and were used as inputs for spectral angle mapper (SAM) classification. SAM classification resulted in the identification of at least 117 mine- and mine waste-related features, most of which were previously unknown. Class similarity was further evaluated, and the dominant minerals in each class were identified by comparison to spectral libraries and measured samples of actual Jackson Group uranium host rocks. Redundant classes were eliminated, and SAM was run a second time using a reduced set of 23 endmembers, which were found to map these same features as effectively as using the full 58 set of endmembers, but with significantly reduced noise and spectral outliers. Our classification results were validated by evaluating detailed scale mapping of three known mine sites (Esse-Spoonamore, Wright-McCrady and Garbysch-Thane) with published ground truth information about the vegetation cover, extent of erosion and exposure of waste pile materials and/or geologic information about host lithology and mineralization. Despite successful demonstration of the utility of WV3 data for inventorying mine features, additional landscape features such as bare agricultural fields and oil and gas drill pads were also identified. The elimination of such features will require combining the spectral classification maps presented in this study with high-quality topographic data. Also, the spectral endmembers identified during the course of this study could be useful for larger-scale mapping efforts using additional well-calibrated WV3 images beyond the coverage of our initial study area.</div>","language":"English","publisher":"MDPI","doi":"10.3390/min13070839","usgsCitation":"Hubbard, B.E., Gallegos, T., and Stengel, V.G., 2023, Mapping abandoned uranium mine features using Worldview-3 imagery in portions of Karnes, Atascosa and Live Oak Counties, Texas: MDPI-Minerals, v. 13, no. 7, 839, 30 p., https://doi.org/10.3390/min13070839.","productDescription":"839, 30 p.","ipdsId":"IP-136838","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":442989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min13070839","text":"Publisher Index Page"},{"id":418499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Karnes County, Atascosa County, Live Oak County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.4083,29.1104],[-98.2809,28.9878],[-98.1879,28.8807],[-97.7292,29.224],[-97.6145,29.1096],[-97.755,29.0056],[-97.5693,28.8157],[-97.7706,28.6717],[-97.7743,28.669],[-97.7812,28.6646],[-97.7847,28.6688],[-97.7882,28.6716],[-97.7929,28.6721],[-97.8267,28.6715],[-97.8276,28.6742],[-97.8291,28.6761],[-97.8353,28.679],[-97.8461,28.6824],[-97.8538,28.6839],[-97.859,28.6845],[-97.8637,28.6841],[-97.8641,28.6874],[-97.8682,28.6902],[-97.8795,28.6932],[-97.8913,28.6998],[-97.8954,28.7013],[-97.8975,28.7032],[-97.8995,28.7055],[-97.8989,28.7073],[-97.8999,28.7092],[-97.9035,28.7116],[-97.9127,28.7168],[-97.9189,28.7187],[-98.0037,28.6896],[-98.0894,28.6599],[-98.0167,28.5323],[-97.8084,28.1788],[-97.8136,28.1757],[-97.8896,28.1253],[-97.8991,28.1185],[-97.9007,28.1167],[-97.9018,28.1135],[-97.9008,28.1108],[-97.9009,28.1071],[-97.902,28.1048],[-97.9047,28.0998],[-97.9059,28.0934],[-97.9041,28.0846],[-97.9021,28.079],[-97.9013,28.0726],[-97.8988,28.0684],[-97.8963,28.0646],[-97.8943,28.0609],[-97.8923,28.0595],[-98.2338,28.0607],[-98.3343,28.06],[-98.3358,28.4775],[-98.336,28.4982],[-98.3363,28.6117],[-98.3372,28.6443],[-98.8035,28.645],[-98.8039,29.0884],[-98.8042,29.2513],[-98.4083,29.1104]]]},\"properties\":{\"name\":\"Atascosa\",\"state\":\"TX\"}}]}","volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hubbard, Bernard E. 0000-0002-9315-2032","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":213146,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":876302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":206859,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":876303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876304,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245142,"text":"70245142 - 2023 - Land development and road salt usage drive long-term changes in major-ion chemistry of streamwater in six exurban and suburban watersheds, southeastern Pennsylvania, 1999-2019","interactions":[],"lastModifiedDate":"2023-06-19T16:50:45.814465","indexId":"70245142","displayToPublicDate":"2023-06-19T11:39:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Land development and road salt usage drive long-term changes in major-ion chemistry of streamwater in six exurban and suburban watersheds, southeastern Pennsylvania, 1999-2019","docAbstract":"<p><span>In urbanized areas, the “freshwater salinization syndrome” (FSS), which pertains to long-term increases in concentrations of major ions and metals in fresh surface waters, has been attributed to road salt application. In addition to FSS, the water composition changes as an influx of sodium (Na</span><sup>+</sup><span>) in recharge may displace calcium (Ca</span><sup>2+</sup><span>), magnesium (Mg</span><sup>2+</sup><span>), potassium (K</span><sup>+</sup><span>), and trace metals by reverse cation exchange. These changing ion fluxes can result in adverse impacts on groundwater and surface waters used for municipal supplies. Few datasets exist to quantify the FSS on a watershed scale or link its manifestation to potential controlling factors such as changes in urban development, land use/land cover (LULC), or wastewater treatment plant (WWTP) discharges in upstream areas. Here, we use two decades (1999–2019) of monthly streamwater quality data combined with daily streamflow for six exurban and suburban watersheds in southeastern Pennsylvania to examine the relations among Ca</span><sup>2+</sup><span>, Mg</span><sup>2+</sup><span>, K</span><sup>+</sup><span>, Na</span><sup>+</sup><span>, chloride (Cl</span><sup>−</sup><span>), sulfate (SO</span><sub>4</sub><sup>2-</sup><span>), and alkalinity (HCO</span><sub>3</sub><sup>−</sup><span>) concentrations and upstream controlling factors. Flow-normalized annual and baseflow (August ̶ November) concentrations for Ca</span><sup>2+</sup><span>, Mg</span><sup>2+</sup><span>, Na</span><sup>+</sup><span>, and Cl</span><sup>−</sup><span>&nbsp;increased in all six watersheds over the 20-year study, providing evidence of FSS’s impacts on groundwater that sustains streamflow. Additionally, a redundancy analysis using 2019 flow-normalized values identified the following positive associations between solute concentrations and controlling variables: 1) Cl</span><sup>−</sup><span>, Mg</span><sup>2+</sup><span>, and Ca</span><sup>2+</sup><span>&nbsp;with impervious surface cover (ISC), 2) Na</span><sup>+</sup><span>&nbsp;and SO</span><sub>4</sub><sup>2-</sup><span>&nbsp;with ISC and total WWTP discharge volume, and 3) HCO</span><sub>3</sub><sup>−</sup><span>&nbsp;with agriculture and total WWTP discharge volume. From a human health perspective, 2019 flow-normalized Na</span><sup>+</sup><span>&nbsp;concentrations exceeded the U.S. Environmental Protection Agency’s 20&nbsp;mg&nbsp;L</span><sup>-1</sup><span>&nbsp;threshold for individuals restricted to a low sodium diet. Furthermore, indices used to evaluate the corrosivity of source waters to drinking water infrastructure and inform municipal water treatment practices, such as the Chloride to Sulfate Mass Ratio and Larson Ratio, increased between two- and seven-fold over the 20-year time. Collectively, the results elucidate the causal factors of the FSS in suburban and exurban watersheds and its potential impacts on human health and drinking water infrastructure.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2023.1153133","usgsCitation":"Rossi, M.L., Kremer, P., Cravotta, C., Seng, K.E., and Goldsmith, S.T., 2023, Land development and road salt usage drive long-term changes in major-ion chemistry of streamwater in six exurban and suburban watersheds, southeastern Pennsylvania, 1999-2019: Frontiers in Environmental Science, v. 11, 1153133, 21 p ., https://doi.org/10.3389/fenvs.2023.1153133.","productDescription":"1153133, 21 p .","ipdsId":"IP-147665","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":443021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2023.1153133","text":"Publisher Index Page"},{"id":418218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Chester Creek, Crum Creek, East Branch Brandywine Creek, Neshaminy Creek, Perkiomen Creek, Ridley Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.5237058720174,\n              39.713850779802925\n            ],\n            [\n              -74.67929211102248,\n              39.713850779802925\n            ],\n            [\n              -74.67929211102248,\n              40.9985953543042\n            ],\n            [\n              -76.5237058720174,\n              40.9985953543042\n            ],\n            [\n              -76.5237058720174,\n              39.713850779802925\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Marissa Lee 0000-0003-2341-0312","orcid":"https://orcid.org/0000-0003-2341-0312","contributorId":310430,"corporation":false,"usgs":true,"family":"Rossi","given":"Marissa","email":"","middleInitial":"Lee","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kremer, Peleg","contributorId":296521,"corporation":false,"usgs":false,"family":"Kremer","given":"Peleg","email":"","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":875663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seng, Krista E.","contributorId":310432,"corporation":false,"usgs":false,"family":"Seng","given":"Krista","email":"","middleInitial":"E.","affiliations":[{"id":67185,"text":"Aqua Pennsylvania, Inc.","active":true,"usgs":false}],"preferred":false,"id":875665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":875666,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245088,"text":"70245088 - 2023 - The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","interactions":[],"lastModifiedDate":"2023-06-15T14:07:24.755563","indexId":"70245088","displayToPublicDate":"2023-06-15T08:59:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15221,"text":"Methods in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","docAbstract":"<ol class=\"\"><li>Species distribution models (SDMs) are widely applied to understand the processes governing spatial and temporal variation in species abundance and distribution but often do not account for measurement errors such as false negatives and false positives.</li><li>We describe<span>&nbsp;</span><strong>unmarked</strong>, a package for the freely available and open-source R software that provides a complete workflow for modelling species distribution and abundance while explicitly accounting for measurement errors. Here we focus on recent advances in<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>functionality to support multi-species, multi-state, and multi-season data, as well as support for fitting models with random effects.</li><li>For illustration, we present an analysis of Acadian Flycatcher<span>&nbsp;</span><i>Empidonax virescens</i><span>&nbsp;</span>abundance on Roanoke River National Wildlife Refuge, North Carolina, USA, over 18 years. We found that Acadian Flycatcher abundance was initially greater in hardwood plantation habitat relative to bottomland hardwood forest along river levees but that abundance declined over time in both habitats.</li><li>We plan for<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>development to keep pace with advances in hierarchical modelling in ecology, including better handling of continuous-time data from camera trap and automated recording units and integrated models for multiple data streams.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.14123","usgsCitation":"Kellner, K.F., Smith, A.D., Royle, J., Kéry, M., Belant, J.L., and Chandler, R., 2023, The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology: Methods in Ecology & Evolution, v. 14, no. 6, p. 1408-1415, https://doi.org/10.1111/2041-210X.14123.","productDescription":"8 p.","startPage":"1408","endPage":"1415","ipdsId":"IP-148655","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14123","text":"Publisher Index Page"},{"id":418129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellner, Kenneth F.","contributorId":310338,"corporation":false,"usgs":false,"family":"Kellner","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":875422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Adam D.","contributorId":310339,"corporation":false,"usgs":false,"family":"Smith","given":"Adam","email":"","middleInitial":"D.","affiliations":[{"id":67145,"text":"US FWS American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":875423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":875424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kéry, Marc","contributorId":310340,"corporation":false,"usgs":false,"family":"Kéry","given":"Marc","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":875425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":875426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Richard B.","contributorId":310342,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":875427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257362,"text":"70257362 - 2023 - Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","interactions":[],"lastModifiedDate":"2026-02-04T16:04:51.628052","indexId":"70257362","displayToPublicDate":"2023-06-14T09:41:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","docAbstract":"<p><span>Along the mid-Atlantic coast of the United States, eastern red bats (</span><i>Lasiurus borealis</i><span>) are present during fall mating and migration, though little is currently known about most aspects of bat migration. To reveal migration patterns, and understand drivers of over-water flight, we captured and radio-tagged 115 eastern red bats using novel technology, and subsequently tracked and described their movements throughout the region. We compared over-water flight movements to randomly generated patterns using a use-availability framework, and subsequently used a generalized linear mixed effects model to assess the relationship of over-water flight to atmospheric variables. We used hidden Markov models to assess daily activity patterns and site residency. Most bats with long-distance movements traveled in a southwesterly direction, however path vectors were often oriented interior toward the continental landmass rather than along the coastline. We observed that some bats transited wide sections of the Chesapeake and Delaware bays, confirming their ability to travel across large water bodies. This over-water flight typically occurred in the early hours of the night and during favorable flying conditions. If flight over large water bodies is a proxy for over-ocean flight, then collision risk at offshore wind turbines – a major source of migratory bat fatalities – may be linked nightly to warm temperatures that occur early in the fall season. Risk, then, may be somewhat predictable and manageable with mitigation options linking wind-energy operation to weather conditions and seasonality.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-023-00398-x","usgsCitation":"True, M., Gorman, K.M., Taylor, H., Reynolds, R., and Ford, W., 2023, Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast: Movement Ecology, v. 11, no. 35, e35, 16 p., https://doi.org/10.1186/s40462-023-00398-x.","productDescription":"e35, 16 p.","ipdsId":"IP-150083","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443096,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00398-x","text":"Publisher Index Page"},{"id":433113,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"11","issue":"35","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"True, Michael C.","contributorId":270631,"corporation":false,"usgs":false,"family":"True","given":"Michael C.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorman, Katherine M.","contributorId":270924,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Hila","contributorId":270923,"corporation":false,"usgs":false,"family":"Taylor","given":"Hila","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard J.","contributorId":348217,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard J.","affiliations":[{"id":83324,"text":"Virginia Dept. of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":910119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70246291,"text":"70246291 - 2023 - Long-term effects of timber harvest on ephemeral pool and occupancy of Spotted Salamanders (Ambystoma maculatum) and Wood Frogs (Lithobates sylvaticus)","interactions":[],"lastModifiedDate":"2023-06-30T12:10:12.357923","indexId":"70246291","displayToPublicDate":"2023-06-14T07:06:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term effects of timber harvest on ephemeral pool and occupancy of Spotted Salamanders (Ambystoma maculatum) and Wood Frogs (Lithobates sylvaticus)","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The effects of timber harvest on amphibians can be complex and persist for years postharvest, but overall they are poorly understood. We examined how timber harvest has impacted two pool-breeding species, Spotted Salamander (<i>Ambystoma maculatum</i>) and Wood Frog (<i>Lithobates sylvaticus</i>), across the Canaan Valley National Wildlife Refuge, West Virginia, USA. We surveyed Spotted Salamanders and Wood Frogs at 49 pools from 2004 to 2016. Pools in recently harvested tracts tended to be smaller and less likely to hold water than pools in unharvested tracts for the duration of the breeding period. For both species, mean egg mass abundance was lower in harvested tracts than in the unharvested tracts, and over time declined substantially for Wood Frogs. Similarly, occupancy rates were lower in harvested sites for the duration of the study for both species. Occupancy rates declined over time for both species across all sites; this decline was steeper for Wood Frogs in harvested sites. Our results show the importance of long-term landscape-level studies when evaluating the effects of habitat disturbance. Understanding how forest loss and degradation impact pool-breeding amphibians will help to develop better management targets and mitigate compounding factors of decline to promote survival of these species.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1670/21-059","usgsCitation":"Wiewel, A.N., Brand, A., and Campbell Grant, E.H., 2023, Long-term effects of timber harvest on ephemeral pool and occupancy of Spotted Salamanders (Ambystoma maculatum) and Wood Frogs (Lithobates sylvaticus): Journal of Herpetology, v. 57, no. 2, p. 142-150, https://doi.org/10.1670/21-059.","productDescription":"9 p.","startPage":"142","endPage":"150","ipdsId":"IP-132863","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435287,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9APRBB8","text":"USGS data release","linkHelpText":"Long-term effects of timber harvest on vernal pool availability and occupancy of two obligate amphibians"},{"id":418655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Canaan Valley National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.71853471123141,\n              39.192466193076314\n            ],\n            [\n              -79.71853471123141,\n              38.80491306531428\n            ],\n            [\n              -79.16828211791132,\n              38.80491306531428\n            ],\n            [\n              -79.16828211791132,\n              39.192466193076314\n            ],\n            [\n              -79.71853471123141,\n              39.192466193076314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wiewel, Amber NM awiewel@usgs.gov","contributorId":315489,"corporation":false,"usgs":false,"family":"Wiewel","given":"Amber","email":"awiewel@usgs.gov","middleInitial":"NM","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":876671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":876672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":876673,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245376,"text":"70245376 - 2023 - Evaluation of threatened, endangered, and rare fish species and communities of the St. Lawrence River and its tributaries in the United States","interactions":[],"lastModifiedDate":"2023-06-22T11:50:33.249052","indexId":"70245376","displayToPublicDate":"2023-06-14T06:46:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15369,"text":"The Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of threatened, endangered, and rare fish species and communities of the St. Lawrence River and its tributaries in the United States","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Biodiversity is responsible for important ecological processes like productivity and ecosystem stability, and rare species are a major component of biodiversity. Rarity increases a species' vulnerability to disturbances and also makes them difficult to study. Globally, species of freshwater systems are some of the most threatened, and evaluation of rare freshwater species and their habitats is needed to help preserve natural flexibility and ecological function. We conducted an analysis of full fish communities of the upper St. Lawrence River and its major US tributaries, with the goals of determining species locations and abundances, associated environmental conditions, the distribution of distinct fish assemblages across the landscape (with emphasis on communities supporting rare species), and potential threats. From 2009 to 2015, the US Geological Survey (USGS) and Saint Regis Mohawk Tribe (SRMT) worked together using standardized methods to collect community samples within 4 different aquatic realms (shallow and deep lentic, and small and large lotic systems) and determine species-specific fish abundances, frequencies of occurrence, and associated habitat signatures and spatial distributions. Distinct fish assemblages and associated habitat conditions were objectively identified by multivariate and hypothesis-testing methods. We used a geographic information system (GIS) to spatially associate habitat, biotic, and landscape attributes within each stream reach throughout the study area, facilitating quantification of distribution patterns. Comparisons with historical data provided estimates of loss or gain of threatened and endangered species (T&amp;E) colonies. We developed a disturbance index to highlight potential threats to aquatic species. More than 140,000 fishes of 87 species were collected from a total of 1140 sample sites, covering 278 stream reaches, including the endangered<span>&nbsp;</span><i>Notropis anogenus</i><span>&nbsp;</span>(Pugnose Shiner), and threatened<span>&nbsp;</span><i>Hiodon tergisus</i><span>&nbsp;</span>(Mooneye),<span>&nbsp;</span><i>Etheostoma pellucidum</i><span>&nbsp;</span>(Eastern Sand Darter), and<span>&nbsp;</span><i>Acipenser fulvescens</i><span>&nbsp;</span>(Lake Sturgeon). We identified 50 distinct fish assemblages differing in species composition, abundance, and/or diversity, but only 13 of those assemblages included a T&amp;E species. The rareness, extent, and patchiness of fish assemblages created a mosaic of fish communities across the landscape, from headwaters to the mainstem of the St. Lawrence River. Comparisons with historic surveys (1978–2008) showed a stable number of T&amp;E species colonies or an increase for some species. The geographic distribution of multimetric disturbance index values showed where combinations of disturbances to fish habitats might affect rare fish species and aquatic communities in the region. The species–habitat associations and fish assemblage distributions can be used for evaluation of species, communities, or habitats that may need protection or restoration.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1656/045.030.m2201","usgsCitation":"McKenna, J.E., and David, A., 2023, Evaluation of threatened, endangered, and rare fish species and communities of the St. Lawrence River and its tributaries in the United States: The Northeastern Naturalist, v. 30, no. m22, p. 1-71, https://doi.org/10.1656/045.030.m2201.","productDescription":"71 p.","startPage":"1","endPage":"71","ipdsId":"IP-122248","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":418349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"St. Lawrence River study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.02921207492003,\n              45.16750441460965\n            ],\n            [\n              -76.02921207492003,\n              44.39882205493063\n            ],\n            [\n              -74.71209100782067,\n              44.39882205493063\n            ],\n            [\n              -74.71209100782067,\n              45.16750441460965\n            ],\n            [\n              -76.02921207492003,\n              45.16750441460965\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"m22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David, Anthony","contributorId":311100,"corporation":false,"usgs":false,"family":"David","given":"Anthony","affiliations":[{"id":67347,"text":"Saint Regis Mohawk Tribe, Environment Division","active":true,"usgs":false}],"preferred":false,"id":875914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243858,"text":"sir20235031 - 2023 - Hydrogeology of sand and gravel aquifers in the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York","interactions":[],"lastModifiedDate":"2026-03-06T21:03:34.167471","indexId":"sir20235031","displayToPublicDate":"2023-06-13T06:50:00","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":"2023-5031","displayTitle":"Hydrogeology of Sand and Gravel Aquifers in the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York","title":"Hydrogeology of sand and gravel aquifers in the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York","docAbstract":"<p>This study is a continuation of a series of hydrogeologic appraisals that have been conducted since 1980, as part of a cooperative, long-term, detailed aquifer mapping program by the U.S. Geological Survey and the New York State Department of Environmental Conservation. These appraisals provide a foundation for wellhead protection programs, water-resource management and planning decisions, and groundwater remediation in upstate New York. The Owasco Inlet watershed drains north directly to Owasco Lake, one of New York’s Finger Lakes. The watershed is similar in form to other watersheds of the Finger Lakes region of New York State and is characterized by broad, smooth uplands punctuated by the 18-mile-long Owasco Inlet valley and the secondary valleys of Decker, Dresserville, and Hemlock Creeks. All these streams occupy “through valleys”—the valleys are continuous into adjacent watersheds such that watershed divides are high points within the valley bottoms, rather than in uplands.</p><p>Most glacial deposits in the watershed were deposited during the Valley Heads Readvance and subsequent retreat (with at least one minor readvance). Estimates are that the Valley Heads Readvance likely peaked in the Cayuga basin about 17,000 (calendar) years ago based on dates from western New York and the Mohawk Valley in east-central New York. It was the last major ice advance of the Pleistocene Epoch in this region. This readvance covered the entire Owasco watershed.</p><p>Valley Heads ice in the Owasco watershed was part of the Cayuga ice lobe, which flowed parallel to the Owasco Inlet valley as far south as Moravia, but which became progressively more eastward south of Locke, effectively raking across the valley from the west. The Owasco Inlet watershed drains north, like other Finger Lakes watersheds, and during deglaciation, northward meltwater drainage was largely blocked by the ice, which resulted in development of a series of regional proglacial lakes in which fine lacustrine sediments predominated. Lacustrine sediments constitute much of the Owasco Inlet valley fill, but it has been pointed out that there are no obvious outlet channels exiting the Owasco Inlet watershed, and it has been proposed that there was northward drainage of meltwater into the ice within the larger, neighboring Cayuga Trough. The lacustrine deposits in the Owasco Inlet valley are commonly underlain by thinner coarse-grained stratified deposits (subaqueous fans and eskers) of variable sorting and permeability. An exception occurs at Groton, N.Y., where retreating ice paused long enough for coarse-grained sediments to fill much of the valley. Smaller, higher elevation valleys have a wider variety of glacial valley-fill deposits, ranging from fine lacustrine sediments to sand and gravel to till.</p><p>Groundwater is the sole source of water supply in the area; glacial sand and gravel aquifers are the primary water source in the Owasco Inlet and Decker Creek valleys, and fractured bedrock aquifers typically supply domestic wells in the remaining valleys and upland areas.</p><p>Municipal supplies tap a variety of aquifer types in the Owasco Inlet valley and nearby uplands. The hamlet of Locke taps the extensive confined aquifer beneath fine-grained lacustrine deposits in the valley. The Village of Moravia taps a semiconfined aquifer that overlies proglacial lake deposits and is partly confined by overlying recent lake deposits and alluvium. Withdrawals from this aquifer may also induce water from the Owasco Inlet into the aquifer. The Village of Groton draws from two aquifers: (1) a thin upland unconfined sand and gravel aquifer tapped by an infiltration gallery and (2) the local unconfined or semiconfined aquifer in the Owasco Inlet valley. Another aquifer with potential for municipal supply is the unconfined aquifer in the Decker Creek valley near Wilson Corners. The confined aquifer in the lower Dresserville Creek valley may have some water-resource potential, but it is largely untested.</p><p>Unconfined aquifers are the most susceptible to contamination from activities at land surface directly above the aquifer because precipitation and subsequent recharge can transport contaminants directly to the water table. Adjacent upland areas can also contribute contaminants. Confined aquifers are less susceptible to contamination from overlying land surface areas because confining units largely prevent downward movement of water. Recharge occurs elsewhere at unconfined upvalley locations and along valley walls where alluvial fans, ice-contact deposits, or stream incision into the valley wall may provide pathways for downward movement of groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235031","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2023, Hydrogeology of sand and gravel aquifers in the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York: U.S. Geological Survey Scientific Investigations Report 2023–5031, 32 p., 1 pl., https://doi.org/10.3133/sir20235031.","productDescription":"Report: vii, 32 p.; 2 Data Releases; 1 Plate: 24.00 × 36.00 inches","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091306","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":417343,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GI61NV","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Owasco Inlet watershed, Cayuga and Tompkins Counties, New York 2016"},{"id":500893,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114774.htm","linkFileType":{"id":5,"text":"html"}},{"id":417339,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5031"},{"id":417338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031.pdf","text":"Report","size":"15.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5031"},{"id":417331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5031/coverthb.jpg"},{"id":417344,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031_fig04.pdf","text":"Figure 4","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Longitudinal hydrogeologic sections <em>A1–A1’</em> and <em>A2–A2’</em>, spanning the length of the Owasco Inlet valley, Tompkins and Cayuga Counties, New York"},{"id":417345,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031_plate01.pdf","text":"Plate 1","size":"368 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Hydrogeology of the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York [layered pdf; to toggle layers, download the file (right-click and select \"Save link as...\") and open it with Adobe Acrobat Reader]"},{"id":417342,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E6ESC2","text":"USGS data release","linkHelpText":"Geospatial datasets of the glacial geology and hydrogeology of the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York"},{"id":417341,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5031/images/"},{"id":417340,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5031/sir20235031.XML"}],"country":"United States","state":"New York","county":"Cayuga County, Tompkins County","otherGeospatial":"Owasco Inlet Watershed","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.6178,43.416],[-76.6044,43.2541],[-76.4831,43.2582],[-76.4808,43.2273],[-76.4754,43.1591],[-76.4734,43.1496],[-76.4759,43.1473],[-76.4803,43.1454],[-76.484,43.1445],[-76.4852,43.1422],[-76.4852,43.139],[-76.48,43.1277],[-76.4754,43.1164],[-76.4741,43.1073],[-76.4765,43.1045],[-76.4809,43.1054],[-76.486,43.1058],[-76.4929,43.1067],[-76.4972,43.1039],[-76.4991,43.1003],[-76.4997,43.1002],[-76.4994,43.0766],[-76.4927,43.0052],[-76.4657,43.0059],[-76.4644,43],[-76.4585,42.9391],[-76.4498,42.8464],[-76.3554,42.8502],[-76.2968,42.8079],[-76.2784,42.7857],[-76.2752,42.7803],[-76.2745,42.7712],[-76.266,42.6221],[-76.2549,42.4082],[-76.2947,42.4075],[-76.2957,42.3866],[-76.2944,42.3816],[-76.2764,42.3794],[-76.2433,42.3664],[-76.2402,42.3624],[-76.2382,42.3542],[-76.2425,42.3446],[-76.2473,42.336],[-76.2497,42.3241],[-76.2514,42.3073],[-76.25,42.2964],[-76.2891,42.2962],[-76.2898,42.308],[-76.35,42.3085],[-76.3507,42.3181],[-76.4153,42.3194],[-76.417,42.2631],[-76.4734,42.2631],[-76.4731,42.2808],[-76.5382,42.2817],[-76.6194,42.2824],[-76.692,42.284],[-76.6932,42.3158],[-76.6907,42.3154],[-76.6907,42.3177],[-76.6898,42.374],[-76.6861,42.375],[-76.6861,42.3763],[-76.6904,42.4472],[-76.6935,42.5144],[-76.6959,42.5466],[-76.5857,42.5503],[-76.6071,42.5624],[-76.6184,42.5705],[-76.6412,42.5912],[-76.6571,42.6097],[-76.6667,42.6242],[-76.6842,42.6667],[-76.6894,42.6762],[-76.6932,42.6812],[-76.7153,42.6983],[-76.7268,42.7122],[-76.7327,42.7263],[-76.7391,42.7703],[-76.7358,42.7981],[-76.7334,42.8022],[-76.7219,42.8209],[-76.7177,42.8305],[-76.7165,42.836],[-76.7179,42.8419],[-76.7198,42.8483],[-76.7213,42.8573],[-76.7215,42.871],[-76.7241,42.8778],[-76.737,42.899],[-76.7396,42.9049],[-76.7397,42.9117],[-76.7376,42.934],[-76.7383,42.934],[-76.7341,42.9454],[-76.735,42.9604],[-76.7314,42.9723],[-76.7237,42.9942],[-76.72,43.001],[-76.7183,43.0083],[-76.7134,43.0152],[-76.711,43.0193],[-76.7142,43.0247],[-76.7156,43.0334],[-76.7166,43.0516],[-76.7155,43.0629],[-76.7155,43.0652],[-76.7118,43.0684],[-76.7075,43.0707],[-76.7038,43.0735],[-76.7019,43.0758],[-76.7031,43.1067],[-76.7073,43.1658],[-76.7205,43.3454],[-76.7111,43.3464],[-76.7073,43.3464],[-76.7073,43.3442],[-76.711,43.3419],[-76.7103,43.3364],[-76.7102,43.3328],[-76.7108,43.3305],[-76.712,43.3287],[-76.7139,43.3286],[-76.7158,43.3286],[-76.7132,43.3236],[-76.7118,43.3177],[-76.7086,43.3159],[-76.7049,43.3187],[-76.7044,43.3265],[-76.7032,43.3296],[-76.6976,43.3306],[-76.6976,43.3324],[-76.6989,43.3338],[-76.7008,43.3356],[-76.7003,43.3415],[-76.6991,43.3438],[-76.6872,43.3494],[-76.6772,43.3558],[-76.668,43.3664],[-76.6501,43.3888],[-76.639,43.4035],[-76.6353,43.4067],[-76.6296,43.4113],[-76.6178,43.416]]]},\"properties\":{\"name\":\"Cayuga\",\"state\":\"NY\"}}]}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-york-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-york-water-science-center\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Origin and Distribution of Glacial and Postglacial Deposits</li><li>Groundwater Resources</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-06-13","noUsgsAuthors":false,"publicationDate":"2023-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":206427,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70244166,"text":"fs20233023 - 2023 - The bee lab","interactions":[],"lastModifiedDate":"2024-09-05T18:14:20.919797","indexId":"fs20233023","displayToPublicDate":"2023-06-06T14:43:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3023","displayTitle":"The Bee Lab","title":"The bee lab","docAbstract":"<h1>Introduction&nbsp;</h1><p>The U.S. Geological Survey (USGS) Bee Lab is a collaborative interagency joint venture and international leader for bee (Hymenoptera: Apoidea) identification, survey design, quantification of bee and plant interrelations, and development and maintenance of occurrence databases. Each of these objectives supports native bee conservation by providing critical data and tools for the United States and other countries. The Bee Lab is part of the USGS Eastern Ecological Science Center (EESC) and located in Laurel, Maryland, at the U.S. Fish and Wildlife Service (USFWS) Patuxent Research Refuge. The laboratory houses scientists from the EESC, USGS’s Cooperative Fish and Wildlife Research Units, and the USFWS to develop identification tools and survey design support for State, Federal, Tribal, and nongovernment organization partners. In addition to the development of identification tools, important objectives include developing keys for native and nonnative bee species and making those tools accessible to partners and the public. Among the most visible and reused products produced during the development of the tools are the detailed photographs of the bees themselves. Accurate bee identification allows for better monitoring of bee species and examination of environmental factors that may influence their populations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233023","programNote":"Cooperative Research Units Program","usgsCitation":"Droege, S., Irwin, E., Malpass, J., and Mawdsley, J., 2023, The bee lab: U.S. Geological Survey Fact Sheet 2023–3023, 2 p., https://doi.org/10.3133/fs20233023.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-152934","costCenters":[{"id":203,"text":"Cooperative Research Unit Atlanta","active":false,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":417785,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3023/fs20233023.XML"},{"id":417784,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3023/images/"},{"id":417783,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233023/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 20230-3023"},{"id":417782,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3023/fs20233023.pdf","text":"Report","size":"8.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 20230-3023"},{"id":417781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3023/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road<br>Laurel, Maryland 20708</p><p><a href=\"https://www.usgs.gov/programs/species-management-research-program/science/species-we-study-pollinators\" data-mce-href=\"https://www.usgs.gov/programs/species-management-research-program/science/species-we-study-pollinators\">Species We Study: Pollinators</a><br><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Bee Collection, Monitoring, and Survey Design</li><li>Bee Processing, Identification, and Photography</li><li>Bee Identification and Occurrence Database Tools</li><li>Native Bees and Plants</li><li>What Can You Do for Native Bee Pollinator Conservation?</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-06-06","noUsgsAuthors":false,"publicationDate":"2023-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Droege, Sam 0000-0003-4393-0403","orcid":"https://orcid.org/0000-0003-4393-0403","contributorId":64185,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":874682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":874684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malpass, Jenn 0000-0003-2176-992X","orcid":"https://orcid.org/0000-0003-2176-992X","contributorId":244048,"corporation":false,"usgs":true,"family":"Malpass","given":"Jenn","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":874683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mawdsley, Jonathan R. 0000-0002-4532-8603 jmawdsley@usgs.gov","orcid":"https://orcid.org/0000-0002-4532-8603","contributorId":302618,"corporation":false,"usgs":true,"family":"Mawdsley","given":"Jonathan","email":"jmawdsley@usgs.gov","middleInitial":"R.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":874681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244095,"text":"ofr20231022 - 2023 - Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in groundwater and surface water at the former Naval Air Warfare Center, West Trenton, New Jersey, 2018","interactions":[],"lastModifiedDate":"2026-02-11T20:59:01.863472","indexId":"ofr20231022","displayToPublicDate":"2023-06-05T12:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1022","displayTitle":"Distribution of Chlorinated Volatile Organic Compounds and Per- and Polyfluoroalkyl Substances in Groundwater and Surface Water at the former Naval Air Warfare Center, West Trenton, New Jersey, 2018","title":"Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in groundwater and surface water at the former Naval Air Warfare Center, West Trenton, New Jersey, 2018","docAbstract":"<p>Groundwater wells and surface-water storm sewers contaminated with volatile organic compounds (VOCs) and per- and polyfluoroalkyl substances (PFASs) at the former Naval Air Warfare Center (NAWC) site in West Trenton, New Jersey were sampled in 2018 as part of the Navy’s long-term monitoring program. Trichloroethene (TCE), cis-1,2-dichloroethene (cisDCE), and vinyl chloride concentrations were plotted in map view and selected cross sections to elucidate the vertical and horizontal extent and distribution of contamination, along with a tabular comparison between 2018 and previous analytical results. The 2018 data showed that the areas of VOC contamination (&gt;1 microgram per liter) decreased slightly on the north and east sides of the NAWC site from previous sampling dates; these decreases are attributed to the influence of the pump-and-treat system, natural attenuation processes, and various engineered bioaugmentation experiments that have occurred onsite. Off-site groundwater samples indicate the VOC contaminated groundwater is likely hydraulically constrained by the pump-and-treat system and appears to not be moving offsite to the south and west of NAWC. Only one offsite well, 50BR, located along the eastern margin of the site, was found to have detectable TCE and cisDCE concentrations, indicating that VOC contamination continues to migrate a short distance offsite to the east. Detectable VOC contamination was found in wells as deep as 200 and 221 feet on both the east and west sides of the NAWC site. Comparisons of present-day data to data from past sampling efforts indicate that TCE concentrations in most wells have decreased slowly over time.</p><p>Results from surface-water samples indicate that VOCs enter surface water predominantly through the West Ditch drainage system. Concentrations and fluxes of VOCs are higher when groundwater levels are higher, indicating contaminated groundwater discharges into the surface water system. Higher VOC concentrations at the Interceptor site relative to other sites in the West Ditch indicate the contamination in the West Ditch system is likely caused by contaminated groundwater discharging to the West Ditch storm sewer near manhole MH-140 when water table levels are high.</p><p>The pump-and-treat extraction wells at the former NAWC site were sampled for per- and polyfluoroalkyl substances (PFAS) in 2018. The suite of reported PFAS include perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid, and perfluorobutane sulfonate. Concentrations were plotted in map view to determine the areal extent of the PFAS contamination at the site. Extraction well 48BR sampled on the eastern half of the site was found to have PFOS and PFOA concentrations greater than the New Jersey Department of Environmental Protection Drinking Water maximum contaminant levels (MCLs), which is consistent with the distribution of highest PFAS concentrations in surface water in the OF-4 storm sewer system that drains that area, as well as previously collected PFAS concentrations in monitoring wells. On the western half of the site, the extraction well 08BR sample exceeded MCLs for PFOA and PFOS and the extraction well 22BR sample exceeded the MCL for PFOA, but samples from all other extraction wells were below the MCLs or other criteria for all PFAS analyzed. Concentrations of PFOA exceeded concentrations of PFOS on the west side of NAWC in both groundwater and surface water, which contrasts with the conditions on the east side of NAWC where PFOS concentrations exceeded PFOA concentrations. However, this observation was based on a limited number of samples on the west side of NAWC from 2018 and previous years, so more PFAS sampling is needed on the west side to assess this further.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231022","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Fiore, A.R., Imbrigiotta, T.E., and Wilson, T.P., 2023, Distribution of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in groundwater and surface water at the former Naval Air Warfare Center, West Trenton, New Jersey, 2018: U.S. Geological Survey Open-File Report 2023–1022, 81 p., https://doi.org/10.3133/ofr20231022.","productDescription":"Report: ix, 81 p.; Data Release","numberOfPages":"81","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-114249","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":417658,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RCAQ5N","text":"USGS data release","linkHelpText":"Concentrations of chlorinated volatile organic compounds and per- and polyfluoroalkyl substances in groundwater and surface water, former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":417657,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1022/images/"},{"id":417656,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1022/ofr20231022.XML"},{"id":417655,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20231022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1022"},{"id":417654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1022/ofr20231022.pdf","text":"Report","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1022"},{"id":417653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1022/coverthb.jpg"},{"id":499772,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114760.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"former Naval Air Warfare Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.816667,\n              40.275\n            ],\n            [\n              -74.816667,\n              40.2667\n            ],\n            [\n              -74.808333,\n              40.2667\n            ],\n            [\n              -74.808333,\n              40.275\n            ],\n            [\n              -74.816667,\n              40.275\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ, 08648</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Background</li><li>Methods</li><li>Distribution of VOC and PFAS Contamination in Groundwater</li><li>Distribution of VOC and PFAS Contamination in Surface Water</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Groundwater Flow Directions at the Former Naval Air Warfare Center, West Trenton, New Jersey, 2018</li><li>Appendix 2. Locations, Construction, and Sampling Frequency of Wells at the Former Naval Air Warfare Center, West Trenton, New Jersey</li><li>Appendix 3. Volatile Organic Compounds and Per- and Polyfluoroalkyl Substances Concentrations Measured in Wells in 2018; Changes in Concentrations of TCE, cisDCE, and VC in Wells Between 2018 Samples and the Most Recent Prior Sample Analyzed; and the Overall Trend of Concentration Changes at the Former Naval Air Warfare Center, West Trenton, New Jersey</li><li>Appendix 4. Concentrations and Fluxes of Volatile Organic Compounds and Per- and Polyfluoroalkyl Substances in Storm-Sewer Lines and Springs Associated with the Former Naval Air Warfare Center, West Trenton, New Jersey, 2018</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-06-05","noUsgsAuthors":false,"publicationDate":"2023-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Timothy P. 0000-0003-1914-6344","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":219174,"corporation":false,"usgs":true,"family":"Wilson","given":"Timothy P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249738,"text":"70249738 - 2023 - Geographic isolation reduces genetic diversity of a wide-ranging terrestrial vertebrate, Canis lupus","interactions":[],"lastModifiedDate":"2023-10-26T12:11:35.260827","indexId":"70249738","displayToPublicDate":"2023-06-04T07:05:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geographic isolation reduces genetic diversity of a wide-ranging terrestrial vertebrate, Canis lupus","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Genetic diversity is theorized to decrease in populations closer to a species' range edge, where habitat may be suboptimal. Generalist species capable of long-range dispersal may maintain sufficient gene flow to counteract this, though the presence of significant barriers to dispersal (e.g., large water bodies, human-dominated landscapes) may still lead to, and exacerbate, the edge effect. We used microsatellite data for 2421 gray wolves (<i>Canis lupus</i>) from 24 subpopulations (groups) to model how allelic richness and expected heterozygosity varied with mainland–island position and two measures of range edge (latitude and distance from range center) across &gt;7.3 million km<sup>2</sup><span>&nbsp;</span>of northern North America. We expected low genetic diversity both at high latitudes, due to harsh environmental conditions, and on islands, but no change in diversity with distance to the range center due to the species' exceptional dispersal ability and favorable conditions in far eastern and western habitats. We found that allelic richness and expected heterozygosity of island groups were measurably less than that of mainland groups, and that these differences increased with the island's distance to the species' range center in the study area. Our results demonstrate how multiple axes of geographic isolation (distance from range center and island habitation) can act synergistically to erode the genetic diversity of wide-ranging terrestrial vertebrate populations despite the counteracting influence of long-range dispersal ability. These findings emphasize how geographic isolation is a potential threat to the genetic diversity and viability of terrestrial vertebrate populations even among species capable of long-range dispersal.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4536","usgsCitation":"Frevol, S., MacNulty, D.R., Anderson, M.C., Cluff, H.D., Mech, L.D., and Musiani, M., 2023, Geographic isolation reduces genetic diversity of a wide-ranging terrestrial vertebrate, Canis lupus: Ecosphere, v. 14, no. 6, e4536, 13 p., https://doi.org/10.1002/ecs2.4536.","productDescription":"e4536, 13 p.","ipdsId":"IP-141501","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":443205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4536","text":"Publisher Index Page"},{"id":422132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.86560219966944,\n              54.047086800415855\n            ],\n            [\n              -92.59997719966954,\n              53.318357166998\n            ],\n            [\n              -76.42810219966938,\n              49.13926253399768\n            ],\n            [\n              -61.3109146996692,\n              49.13926253399768\n            ],\n            [\n              -54.98278969966927,\n              51.93134598198591\n            ],\n            [\n              -58.49841469966904,\n              58.066794430918236\n            ],\n            [\n              -59.55310219966961,\n              64.98865955060353\n            ],\n            [\n              -61.61853188716954,\n              66.93726341113427\n            ],\n            [\n              -63.68396157466947,\n              68.885867271665\n            ],\n            [\n              -71.68200844966942,\n              72.06746073196186\n            ],\n            [\n              -77.13128787964015,\n              75.13539430494208\n            ],\n            [\n              -71.81847807344269,\n              79.62027784056812\n            ],\n            [\n              -63.55675932344245,\n              81.8208107201825\n            ],\n            [\n              -61.97472807344246,\n              82.62864222144114\n            ],\n            [\n              -69.00597807344256,\n              83.21321439167704\n            ],\n            [\n              -79.55285307344245,\n              83.1085546629603\n            ],\n            [\n              -95.72472807344262,\n              81.48920213520432\n            ],\n            [\n              -115.58800932344275,\n              78.55632744792695\n            ],\n            [\n              -128.06847807344298,\n              75.09023680563831\n            ],\n            [\n              -129.47472807344275,\n              70.83778883188734\n            ],\n            [\n              -136.70809238032393,\n              69.64367653654656\n            ],\n            [\n              -156.92293613032413,\n              71.06154516351532\n            ],\n            [\n              -161.14168613032408,\n              69.02334144669882\n            ],\n            [\n              -162.54793613032416,\n              66.21591068059402\n            ],\n            [\n              -160.4385611303242,\n              60.99703349653922\n            ],\n            [\n              -154.81356113032416,\n              59.246167793297815\n            ],\n            [\n              -142.86043613032396,\n              60.3078521983613\n            ],\n            [\n              -136.18074863032396,\n              57.11530816731394\n            ],\n            [\n              -133.544029880324,\n              53.82977420960461\n            ],\n            [\n              -129.86560219966944,\n              54.047086800415855\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Frevol, S.A.","contributorId":331192,"corporation":false,"usgs":false,"family":"Frevol","given":"S.A.","email":"","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":886897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacNulty, D. R.","contributorId":331193,"corporation":false,"usgs":false,"family":"MacNulty","given":"D.","email":"","middleInitial":"R.","affiliations":[{"id":79147,"text":"Idaho State U.","active":true,"usgs":false}],"preferred":false,"id":886898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, M. C.","contributorId":192450,"corporation":false,"usgs":false,"family":"Anderson","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":886899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cluff, H. D.","contributorId":251696,"corporation":false,"usgs":false,"family":"Cluff","given":"H.","email":"","middleInitial":"D.","affiliations":[{"id":50376,"text":"Government of the Northwest Territories","active":true,"usgs":false}],"preferred":false,"id":886900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Musiani, M.","contributorId":331194,"corporation":false,"usgs":false,"family":"Musiani","given":"M.","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":886902,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70244308,"text":"70244308 - 2023 - Roles of climatic and anthropogenic factors in shaping Holocene vegetation and fire regimes in Great Dismal Swamp, eastern USA","interactions":[],"lastModifiedDate":"2023-06-13T12:07:50.607357","indexId":"70244308","displayToPublicDate":"2023-06-03T07:03:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Roles of climatic and anthropogenic factors in shaping Holocene vegetation and fire regimes in Great Dismal Swamp, eastern USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">The Great Dismal Swamp wetland, spanning &gt;400&nbsp;km<sup>2</sup><span>&nbsp;along the Virginia and North Carolina border, was shaped by a complex combination of geomorphic, climatic, and anthropogenic forcings during the last 14,000 years. Pollen, macrofossils, charcoal, and physical properties from&nbsp;sediment cores&nbsp;at seven sites provide a detailed record of the spatial heterogeneity of the wetland and the roles played by natural hydrologic variability, wildfire, and human modification of drainage in shaping vegetation and habitats. Cold-temperate forests occupied regional uplands from at least 13.5–10.3&nbsp;cal ka BP. Marshes dominated by grasses and other herbaceous taxa began developing along low-elevation streams as early as 10.3&nbsp;cal ka BP, resulting in accumulation of organic silts. Long-hydroperiod, peat accumulating marshes, with abundant floating&nbsp;aquatic plants, developed as early as 9.6&nbsp;cal ka BP, as rapid rates of sea-level rise elevated the water table and facilitated wetland development and peat accumulation along stream courses. By the mid-Holocene (c. 7–6.5&nbsp;cal ka BP), when local sea-level rise began slowing and reached about 12–15&nbsp;m below present, shorter&nbsp;hydroperiod, peat-accumulating marshes dominated the landscape, with increased wildfire activity. Great Dismal Swamp vegetation shifted from marshes to peat-accumulating forested wetlands by c. 3.7&nbsp;cal ka BP; these were dominated by varying combinations of&nbsp;</span><i>Nyssa</i><span>&nbsp;</span>(tupelo),<span>&nbsp;</span><i>Taxodium</i><span>&nbsp;</span>(cypress), and<span>&nbsp;</span><i>Chamaecyparis thyoides</i><span>&nbsp;</span>(Atlantic white cedar). Wildfires were infrequent during this time, and the forested wetlands persisted, with minor compositional changes related to climate-driven fluctuations in stream flow, until colonial ditching and logging began in the swamp during the late 18th century. These activities decreased cypress and cedar populations, and, by the mid-20th century, expanded ditching resulted in even drier conditions and expansion of maple-gum (dominated by<span>&nbsp;</span><i>Acer</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Liquidambar</i>)<i>,</i><span>&nbsp;</span>and pine-pocosin (dominated<span>&nbsp;</span><i>by Pinus</i><span>) forests. The distribution of these forests differs from that of the late&nbsp;Holocene&nbsp;and represents a fundamental shift in hydrology, peat structure, vegetation, and fire regime due to landscape alterations of the last few centuries.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108153","usgsCitation":"Willard, D., Jones, M.C., Alder, J.R., Fastovich, D., Hoefke, K., Poirier, R., and Wurster, F.C., 2023, Roles of climatic and anthropogenic factors in shaping Holocene vegetation and fire regimes in Great Dismal Swamp, eastern USA: Quaternary Science Reviews, v. 311, 108153, 20 p., https://doi.org/10.1016/j.quascirev.2023.108153.","productDescription":"108153, 20 p.","ipdsId":"IP-143520","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":443207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2023.108153","text":"Publisher Index Page"},{"id":418047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.64913661063176,\n              36.87216995919957\n            ],\n            [\n              -76.64913661063176,\n              36.36536334591281\n            ],\n            [\n              -76.27576165195242,\n              36.36536334591281\n            ],\n            [\n              -76.27576165195242,\n              36.87216995919957\n            ],\n            [\n              -76.64913661063176,\n              36.87216995919957\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"311","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":875318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":875319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":875320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fastovich, David","contributorId":225614,"corporation":false,"usgs":false,"family":"Fastovich","given":"David","email":"","affiliations":[],"preferred":false,"id":875321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoefke, Kristen 0000-0001-7690-8726 khoefke@usgs.gov","orcid":"https://orcid.org/0000-0001-7690-8726","contributorId":220877,"corporation":false,"usgs":true,"family":"Hoefke","given":"Kristen","email":"khoefke@usgs.gov","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":875322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poirier, Robert 0000-0001-5380-4545","orcid":"https://orcid.org/0000-0001-5380-4545","contributorId":261201,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":875323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wurster, Fred C.","contributorId":306267,"corporation":false,"usgs":false,"family":"Wurster","given":"Fred","email":"","middleInitial":"C.","affiliations":[{"id":66391,"text":"Great Dismal Swamp NWR","active":true,"usgs":false}],"preferred":false,"id":875324,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264026,"text":"70264026 - 2023 - Precision of structures used to estimate age and growth of Apache Trout from Arizona","interactions":[],"lastModifiedDate":"2025-03-05T17:11:28.041093","indexId":"70264026","displayToPublicDate":"2023-06-02T10:56:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Precision of structures used to estimate age and growth of Apache Trout from Arizona","docAbstract":"<p><span>Obtaining reliable information on the age structure of fish populations is important for making conservation and management decisions. We sought to evaluate precision and reader confidence in age estimates from scales (two body locations), sectioned fin rays (pectoral, pelvic, anal), and sectioned sagittal otoliths from Apache Trout&nbsp;</span><i>Oncorhynchus apache</i><span>&nbsp;(</span><i>n</i><span>&nbsp;= 78 fish) sampled from the East Fork White River, Arizona, in 2017. Two experienced readers without prior knowledge of fish length aged structures independently. Each reader provided a confidence rating of 0 (no confidence) to 3 (completely confident) as a measure of readability. Both readers were unable to estimate age from scales collected from the area just posterior to the insertion of the pectoral fin. We used scales removed from an area just dorsal to the lateral line and posterior to the dorsal fin in all analyses. Percentage of exact agreement between readers was highest for scales and otoliths (&gt;72.0%) and lowest for fin rays (31.8–58.1%). Average confidence rating was highest for sectioned otoliths (mean ± SE, 2.1 ± 0.07), and lowest for anal fin rays (0.3 ± 0.06) and scales (0.7 ± 0.05). We compared consensus ages from otoliths to the other structures. Percentage of exact agreement with otolith age was low and varied from 21.6 to 35.7% among structures. Similarly, percentage of agreement within 1 y was also low among structures (58.0–70.2%). Scales consistently underestimated age of age-4 and older fish (based on otolith age), whereas fin rays tended to overestimate age of younger fish and underestimate age of older Apache Trout. Although sectioned otoliths require lethal sampling, they produced the most precise age estimates for Apache Trout with the highest reader confidence. Dorsal scales may be a suitable nonlethal alternative to otoliths if ages for only young fish (age 3 and younger) meet study objectives.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Mangement","doi":"10.3996/jfwm-22-021","usgsCitation":"Quist, M.C., Ulaski, M., Manuell, K., Jackson, Z., and Gatewood, T., 2023, Precision of structures used to estimate age and growth of Apache Trout from Arizona: Journal of Fish and Wildlife Management, v. 14, no. 1, p. 188-194, https://doi.org/10.3996/jfwm-22-021.","productDescription":"7 p.","startPage":"188","endPage":"194","ipdsId":"IP-139085","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/jfwm-22-021","text":"Publisher Index Page"},{"id":482916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-04-16","publicationStatus":"PW","contributors":{"authors":[{"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":929515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulaski, Marta","contributorId":280108,"corporation":false,"usgs":false,"family":"Ulaski","given":"Marta","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":929516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manuell, Kristy","contributorId":351806,"corporation":false,"usgs":false,"family":"Manuell","given":"Kristy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Zachary","contributorId":338597,"corporation":false,"usgs":false,"family":"Jackson","given":"Zachary","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gatewood, Tim","contributorId":351808,"corporation":false,"usgs":false,"family":"Gatewood","given":"Tim","affiliations":[{"id":84049,"text":"White Mountain Apache Tribe Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":929519,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249478,"text":"70249478 - 2023 - Volcanic and tectonic sources of seismicity near the Tanaga Volcanic Cluster, Alaska","interactions":[],"lastModifiedDate":"2023-10-10T12:08:34.094858","indexId":"70249478","displayToPublicDate":"2023-06-02T07:06:45","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":"Volcanic and tectonic sources of seismicity near the Tanaga Volcanic Cluster, Alaska","docAbstract":"<div class=\"article-section__content en main\"><p>Tanaga Island in the Central Aleutian Islands includes four stratovolcanoes: Sajaka, Tanaga, and East Tanaga in the northwest, and Takawangha in the central part of the island. Of these volcanoes, only Tanaga has a confirmed record of historical eruptive activity. We use double-difference methods to relocate Tanaga Island earthquakes from the period 2003–2017 to gain insight into volcanic and tectonic activity in the region. High precision relative relocations show subsurface structures in the Tanaga region related to volcanism and crustal tectonics. In 2005, a swarm of ∼600 volcano-tectonic events located below the NW portion of the island culminated with an episode of volcanic tremor. Although there was no known eruption associated with this swarm, we suggest that this activity is associated with fluids beneath Takawangha volcano. Overall, relatively little seismicity appears to be associated with volcanism: of 5,680 earthquakes relocated in this study, only ∼700 took place within 10&nbsp;km of the volcanoes themselves. Other regions appear to experience primarily, if not exclusively, tectonic seismicity. Two regions on Tanaga Island became seismically active following a M6.6 tectonic earthquake east of the island on 2 May 2008, suggesting the triggering of tectonic earthquakes by the M6.6. Seismic activity recorded offshore and below the southern part of the island is interpreted as due to the clockwise rotation of the Delarof Block in the forearc, and bookshelf faulting along the volcanic arc. This suggests a complex pattern of earthquake hypocenters governed by both volcanic and tectonic processes surrounding Tanaga and Takawangha volcanoes.</p></div>","language":"English","publisher":"Amercian Geophysical Union","doi":"10.1029/2023GC010891","usgsCitation":"Lally, K., Caplan-Auerbach, J., and Power, J., 2023, Volcanic and tectonic sources of seismicity near the Tanaga Volcanic Cluster, Alaska: Geochemistry, Geophysics, Geosystems, v. 24, no. 6, e2023GC010891, 19 p., https://doi.org/10.1029/2023GC010891.","productDescription":"e2023GC010891, 19 p.","ipdsId":"IP-149423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":443215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc010891","text":"Publisher Index Page"},{"id":421809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanaga Volcanic Cluster","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -178.9677308275411,\n              52.01897147053455\n            ],\n            [\n              -178.9677308275411,\n              51.49072699027661\n            ],\n            [\n              -176.76869157027713,\n              51.49072699027661\n            ],\n            [\n              -176.76869157027713,\n              52.01897147053455\n            ],\n            [\n              -178.9677308275411,\n              52.01897147053455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lally, Kevin","contributorId":330790,"corporation":false,"usgs":false,"family":"Lally","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":885870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caplan-Auerbach, Jackie","contributorId":330791,"corporation":false,"usgs":false,"family":"Caplan-Auerbach","given":"Jackie","email":"","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":885871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":885872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256454,"text":"70256454 - 2023 - Impact of dams on stream fish diversity: A different result","interactions":[],"lastModifiedDate":"2024-08-02T16:42:41.022571","indexId":"70256454","displayToPublicDate":"2023-06-01T11:37:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Impact of dams on stream fish diversity: A different result","docAbstract":"<p><span>Impoundments can drastically change the physical and biological characteristics of fluvial systems. Changes in the physical characteristics, such as reductions in flow, increased sediment deposition, and increased surface area, often influence the system’s biological components, including plant, macroinvertebrate, and fish assemblages. In addition to having direct effects on impounded waterbodies, impoundments can also have wide-ranging effects at the watershed scale, particularly on upstream tributary streams. The purpose of this study was to assess the magnitude of these effects. We analyzed historical data from 26 streams distributed across five sub-basins in the Bluff Hills region of the Yazoo Basin, MS, USA. All five major tributary rivers in this region are impounded by large (11,240–26,143 hectares) reservoirs for flood control. We compared fish assemblages in streams located upstream and downstream of the four reservoirs using PERMANOVA, and contrary to expectations, we found no significant differences between the upstream and downstream assemblages. We explore several possible explanations for this discrepancy and suggest that stream assemblage response to impoundment may be nuanced by the regional species pool, the history of stream conditions in the watershed, and the resistance of the streams to periodic disturbances.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/d15060728","usgsCitation":"Faucheux, N.M., Miranda, L.E., Taylor, J.M., and Farris, J.L., 2023, Impact of dams on stream fish diversity: A different result: Diversity, v. 15, no. 6, 728, 14 p., https://doi.org/10.3390/d15060728.","productDescription":"728, 14 p.","ipdsId":"IP-152946","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d15060728","text":"Publisher Index Page"},{"id":432156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"eastern Yazoo River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.8,\n              35\n            ],\n            [\n              -91,\n              35\n            ],\n            [\n              -91,\n              33\n            ],\n            [\n              -88.8,\n              33\n            ],\n            [\n              -88.8,\n              35\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Faucheux, Nicky M.","contributorId":271194,"corporation":false,"usgs":false,"family":"Faucheux","given":"Nicky","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Jason M.","contributorId":212809,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":38685,"text":"USDA, ARS Sedimentation Lab","active":true,"usgs":false}],"preferred":false,"id":907450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farris, Jerry L.","contributorId":340681,"corporation":false,"usgs":false,"family":"Farris","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244082,"text":"70244082 - 2023 - Impacts and uncertainties of climate-induced changes in watershed inputs on estuarine hypoxia","interactions":[],"lastModifiedDate":"2023-06-01T13:06:59.504336","indexId":"70244082","displayToPublicDate":"2023-06-01T07:57:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Impacts and uncertainties of climate-induced changes in watershed inputs on estuarine hypoxia","docAbstract":"<p><span>Multiple climate-driven stressors, including warming and increased nutrient delivery, are exacerbating hypoxia in coastal marine environments. Within coastal watersheds, environmental managers are particularly interested in climate impacts on terrestrial processes, which may undermine the efficacy of management actions designed to reduce eutrophication and consequent low-oxygen conditions in receiving coastal waters. However, substantial uncertainty accompanies the application of Earth system model (ESM) projections to a regional modeling framework when quantifying future changes to estuarine hypoxia due to climate change. In this study, two downscaling methods are applied to multiple ESMs and used to force two independent watershed models for Chesapeake Bay, a large coastal-plain estuary of the eastern United States. The projected watershed changes are then used to force a coupled 3-D hydrodynamic–biogeochemical estuarine model to project climate impacts on hypoxia, with particular emphasis on projection uncertainties. Results indicate that all three factors (ESM, downscaling method, and watershed model) are found to contribute substantially to the uncertainty associated with future hypoxia, with the choice of ESM being the largest contributor. Overall, in the absence of management actions, there is a high likelihood that climate change impacts on the watershed will expand low-oxygen conditions by 2050 relative to a 1990s baseline period; however, the projected increase in hypoxia is quite small (4 %) because only climate-induced changes in watershed inputs are considered and not those on the estuary itself. Results also demonstrate that the attainment of established nutrient reduction targets will reduce annual hypoxia by about 50 % compared to the 1990s. Given these estimates, it is virtually certain that fully implemented management actions reducing excess nutrient loadings will outweigh hypoxia increases driven by climate-induced changes in terrestrial runoff.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-20-1937-2023","usgsCitation":"Hinson, K.E., Friedrichs, M.A., Najjar, R.G., Herrmann, M., Bian, Z., Bhatt, G., St-Laurent, P., Tian, H., and Shenk, G.W., 2023, Impacts and uncertainties of climate-induced changes in watershed inputs on estuarine hypoxia: Biogeosciences, v. 20, no. 10, p. 1937-1961, https://doi.org/10.5194/bg-20-1937-2023.","productDescription":"25 p.","startPage":"1937","endPage":"1961","ipdsId":"IP-151711","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":443237,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-20-1937-2023","text":"Publisher Index Page"},{"id":417643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay, James River, Potomac River, Susquehanna River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.02714093628992,\n              36.82353526720044\n            ],\n            [\n              -75.9679722985874,\n              37.107188810688925\n            ],\n            [\n              -75.9613980055088,\n              37.27478056969166\n            ],\n            [\n              -75.81018926471236,\n              37.51504137048339\n            ],\n            [\n              -75.52749466235369,\n              37.90511682250509\n            ],\n            [\n              -75.67870340315011,\n              38.4632102094632\n            ],\n            [\n              -75.79704067855599,\n              39.71333987986998\n            ],\n            [\n              -76.07316098783689,\n              39.69310779262992\n            ],\n            [\n              -77.52607975810103,\n              39.01191023782434\n            ],\n            [\n              -77.6707142058197,\n              38.2931354196956\n            ],\n            [\n              -77.756180015835,\n              37.50982650176154\n            ],\n            [\n              -77.41431677577297,\n              37.42111800113112\n            ],\n            [\n              -77.37487101730382,\n              37.31662036563128\n            ],\n            [\n              -77.02643348416402,\n              37.211977253147836\n            ],\n            [\n              -76.81605610566426,\n              37.143881287547615\n            ],\n            [\n              -76.71086741641476,\n              37.09670197901805\n            ],\n            [\n              -76.6779959510242,\n              36.95498773192651\n            ],\n            [\n              -76.5793815548517,\n              36.86562468091324\n            ],\n            [\n              -76.67142165794561,\n              36.74982306374538\n            ],\n            [\n              -76.40187564174332,\n              36.71821041760633\n            ],\n            [\n              -76.02714093628992,\n              36.82353526720044\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinson, Kyle E. 0000-0002-2737-2379","orcid":"https://orcid.org/0000-0002-2737-2379","contributorId":306024,"corporation":false,"usgs":false,"family":"Hinson","given":"Kyle","email":"","middleInitial":"E.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":874433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedrichs, Marjorie A. M. 0000-0003-2828-7595","orcid":"https://orcid.org/0000-0003-2828-7595","contributorId":222588,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Marjorie","email":"","middleInitial":"A. M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":874434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Najjar, Raymond G. 0000-0002-3770-2300","orcid":"https://orcid.org/0000-0002-3770-2300","contributorId":261280,"corporation":false,"usgs":false,"family":"Najjar","given":"Raymond","email":"","middleInitial":"G.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":874435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herrmann, Maria","contributorId":198519,"corporation":false,"usgs":false,"family":"Herrmann","given":"Maria","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":874436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bian, Zihao","contributorId":306026,"corporation":false,"usgs":false,"family":"Bian","given":"Zihao","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":874437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bhatt, Gopal 0000-0002-6627-793X","orcid":"https://orcid.org/0000-0002-6627-793X","contributorId":252963,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":874438,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"St-Laurent, Pierre 0000-0002-1700-9509","orcid":"https://orcid.org/0000-0002-1700-9509","contributorId":261288,"corporation":false,"usgs":false,"family":"St-Laurent","given":"Pierre","email":"","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":874439,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tian, Hanqin","contributorId":296449,"corporation":false,"usgs":false,"family":"Tian","given":"Hanqin","affiliations":[{"id":64042,"text":"Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, MA 02467, United States","active":true,"usgs":false}],"preferred":false,"id":874440,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874441,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70244060,"text":"70244060 - 2023 - Abiotic and biotic factors reduce the viability of a high-elevation salamander in its native range","interactions":[],"lastModifiedDate":"2023-08-08T13:57:10.373732","indexId":"70244060","displayToPublicDate":"2023-06-01T07:35:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and biotic factors reduce the viability of a high-elevation salamander in its native range","docAbstract":"<ol class=\"\"><li>Amphibian populations are undergoing worldwide declines, and high-elevation, range-restricted amphibian species may be particularly vulnerable to environmental stressors. In particular, future climate change may have disproportional impacts to these ecosystems. Evaluating the combined effects of abiotic changes and biotic interactions simultaneously is important for forecasting the range of future outcomes. This information is necessary to aid conservation decision-making.</li><li>We use field data to estimate population demographic parameters for an exemplary high-elevation amphibian species, the federally endangered Shenandoah salamander<span>&nbsp;</span><i>Plethodon shenandoah</i>. These parameters were entered into a Markov projection model which we used to forecast the future population status of the Shenandoah salamander.</li><li>We found that if the population maintains its current site colonization and persistence rates, it is at the risk of extinction that could be exacerbated by both climate and interspecific competition.</li><li><i>Synthesis and applications.</i><span>&nbsp;</span>Managers have a fundamental objective directed by official policy of maintaining the species ‘for the foreseeable future’. Our evaluation of multiple hypotheses about population drivers reveals that extinction is projected for this species. Our analysis suggests that considering active management need not depend on resolving the uncertainty.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.14431","usgsCitation":"Campbell Grant, E.H., DiRenzo, G.V., and Brand, A., 2023, Abiotic and biotic factors reduce the viability of a high-elevation salamander in its native range: Journal of Applied Ecology, v. 60, no. 8, p. 1684-1697, https://doi.org/10.1111/1365-2664.14431.","productDescription":"14 p.","startPage":"1684","endPage":"1697","ipdsId":"IP-139156","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443241,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14431","text":"Publisher Index Page"},{"id":435297,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y5O93Q","text":"USGS data 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,{"id":70251137,"text":"70251137 - 2023 - Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA","interactions":[],"lastModifiedDate":"2024-01-24T12:53:31.487771","indexId":"70251137","displayToPublicDate":"2023-06-01T06:49:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA","docAbstract":"<div class=\"html-p\">Crop models are useful for evaluating crop growth and yield at the field and regional scales, but their applications and accuracies are restricted by input data availability and quality. To overcome difficulties inherent to crop modeling, input data can be enhanced by the incorporation of remotely sensed and field observations into crop growth models. This approach has been recognized to be an important way to monitor crop growth conditions and to predict yield at the field and regional scale. In recent years, satellite remote sensing has provided high-temporal and high-spatial-resolution data that allow for generating continuous time series of biophysical parameters such as vegetation indices, leaf area index, and phenology. The objectives of this study were to use remote sensing along with field observations as inputs to the Decision Support System for Agro-Technology (DSSAT) model to estimate soybean and maize growth and yield. The study used phenology and leaf area index (LAI) data derived from Planet Fusion (daily, 3 m) satellite imagery along with field observation data on crop growth stage, LAI and yield collected at the United State Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center (BARC), Beltsville, Maryland. For maize, a total of 17 treatments (site years) were used (ten treatments for model calibration and seven treatments for validation), while for soybean (maturity groups three and four), a total of 18 treatments were used (nine for calibration and nine for validation). The calibrated model was tested against an independent, multi-location and multi-year set of phenology and yield data (2017–2020) from BARC fields. The model accurately simulated maize and soybean days to flowering and maturity and produced reasonable yield estimates for most fields and years. Model run for independent locations and years produced good results for phenology and yields for both maize and soybean, as indicated by index of agreement (d) values ranging from 0.65 to 0.93 and normalized root-mean-squared error values ranging from 1 to 20%, except for soybean maturity group four. Overall, model performances with respect to phenology and grain yield for maize and soybean were good and consistent with other DSSAT evaluation studies. The inclusion of remote sensing along with field observations in crop-growth model inputs can provide an effective approach for assessing crop conditions, even in regions lacking ground data.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"Wiley","doi":"10.3390/agronomy13061540","usgsCitation":"Akumaga, U., Gao, F., Anderson, M., Dulaney, W., Houborg, R., Russ, A., and Hively, W.D., 2023, Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA: Agronomy Journal, v. 13, no. 6, 1540, 23 p., https://doi.org/10.3390/agronomy13061540.","productDescription":"1540, 23 p.","ipdsId":"IP-153134","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":443256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agronomy13061540","text":"Publisher Index Page"},{"id":424849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70243075,"text":"70243075 - 2023 - Geochronology and mapping constraints on the time-space evolution of the igneous and hydrothermal systems in the Taurus Cu-Mo district, eastern Alaska","interactions":[],"lastModifiedDate":"2023-10-12T15:23:34.75519","indexId":"70243075","displayToPublicDate":"2023-06-01T06:36:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochronology and mapping constraints on the time-space evolution of the igneous and hydrothermal systems in the Taurus Cu-Mo district, eastern Alaska","docAbstract":"<p>The Taurus porphyry Cu-Mo district contains four mineralized porphyry centers in the eastern interior of Alaska. All four centers were emplaced during a magmatic episode that spanned from ca. 72 to 67 Ma, with seven distinct igneous suites. Each igneous suite resulted in hydrothermal alteration and mineralization, with younger pulses overprinting older pulses. Each magmatic-hydrothermal system is not present at all four mineralized centers. Apart from the Dennison occurrence, each mineralized center records pulses of repeated intermediate-silicic magmatism and associated alteration and mineralization.</p><p>Laser ablation-inductively coupled plasma-mass spectrometry U-Pb zircon crystallization ages indicate that an early quartz porphyry dike swarm ranges in age from ca. 71 to 70 Ma and is associated with potassic, sericitic, and propylitic alteration. Quartz latite intrusions were emplaced at ca. 69 Ma and exhibit early sodiccalcic alteration overprinted by potassic, sericitic, and propylitic alteration. The Taurus monzonite suite is cut by quartz latite but yielded an ca. 70 Ma emplacement age and exhibits the largest footprint of potassic and sericitic alteration. Feldspar porphyry dikes were emplaced ca. 69 Ma and have significant tourmaline-bearing potassic and sericitic alteration. This suite was followed by development of an igneous breccia with a monzonitic igneous matrix. Sodic-calcic alteration was associated with the igneous brecciation. A small stock of monzonite was emplaced at ca. 68 Ma causing locally pervasive sericite-tourmaline-pyrite alteration. The youngest suite of magmatism dated in the district is a series of granodiorite porphyry dikes with weak sodic-calcic and propylitic alteration that truncates earlier alteration assemblages.</p><p>Mineralization in the district consists of chalcopyrite and molybdenite associated with sugary quartz veins with potassium feldspar and biotite alteration envelopes (A veins). Less common banded quartz-molybdenite veins (B veins) occur with potassium feldspar envelopes. Gold occurs throughout the district and is strongly correlated with copper grade. Sericitic alteration contains lower copper contents and is predominantly associated with quartz-pyrite veins with sericite envelopes (D veins). Pyrrhotite and local arsenopyrite are present in sericitic assemblages. Pyrrhotite also occurs as inclusions in pyrite within D veins.</p><p>Magmas across the district exhibit oxidized characteristics, evidenced by the presence of abundant magnetite, rare titanite, and elevated Eu/Eu* and Ce/Ce* in zircon. Zircon Th/U and Yb/Gd compositions suggest a fractionation path controlled by apatite, titanite, and hornblende. Zircon rare earth element ratios and trace element data indicate two distinct batches of magma evolved from mafic parental compositions to monzonite and granodioritic compositions via fractional crystallization. In the early pulse of magma (ca. 72–69 Ma), fractional crystallization was key to ore formation. Earlier, better mineralized suites evolve to less negative Eu anomalies (Eu/Eu* &gt; 0.7), indicating more oxidized and higher-water-pressure conditions evidenced by the suppression of plagioclase crystallization, compared to later, more poorly mineralized suites.</p><p>The temporal and spatial evolution of the district was determined from mapping and U-Pb and Re-Os geochronology. Mapping of igneous and hydrothermal assemblages indicates that the locus of the intrusive suites and hydrothermal systems shifted spatially over time, based on the presence of high-temperature (K-silicate–dominant) alteration, which is coincident with the highest Cu and Au grades. The earliest hydrothermal system was centered at Bluff and East Taurus and transitioned to West Taurus during emplacement of the second magmatic suite. Emplacement of the third magmatic suite was centered back at East Taurus, and the fourth and fifth suites were centered at West Taurus. The latest suites were widespread without a core of high-temperature alteration marking a central locus. East Taurus contains the overlap of six of the seven magmatic and hydrothermal suites and has the highest intersected grades and tonnages in the district. The Bluff and Dennison occurrences exhibit fewer igneous suites and hydrothermal assemblages with weak mineralization. Sodic-calcic alteration, common on the deep and distal flanks of porphyry systems, is only present at West Taurus and is indicative of a localized source of high-salinity nonmagmatic fluids.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4999","usgsCitation":"Kreiner, D.C., Holm-Denoma, C., Pianowski, L., Flood, Z., Stevenson, D.J., Graham, G.E., Vazquez, J.A., and Creaser, R.A., 2023, Geochronology and mapping constraints on the time-space evolution of the igneous and hydrothermal systems in the Taurus Cu-Mo district, eastern Alaska: Economic Geology, v. 118, no. 4, p. 745-778, https://doi.org/10.5382/econgeo.4999.","productDescription":"34 p.","startPage":"745","endPage":"778","ipdsId":"IP-136126","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science 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0000-0002-5346-8251","orcid":"https://orcid.org/0000-0002-5346-8251","contributorId":218817,"corporation":false,"usgs":true,"family":"Pianowski","given":"Laura","email":"","affiliations":[],"preferred":true,"id":870926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flood, Zachary","contributorId":304555,"corporation":false,"usgs":false,"family":"Flood","given":"Zachary","email":"","affiliations":[{"id":66101,"text":"Kenorland Minerals","active":true,"usgs":false}],"preferred":false,"id":870927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevenson, David J.","contributorId":211426,"corporation":false,"usgs":false,"family":"Stevenson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":870928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":870929,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":870930,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Creaser, Robert A 0000-0002-7672-035X","orcid":"https://orcid.org/0000-0002-7672-035X","contributorId":304556,"corporation":false,"usgs":false,"family":"Creaser","given":"Robert","email":"","middleInitial":"A","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":870931,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274657,"text":"70274657 - 2023 - A review of N-mixture models","interactions":[],"lastModifiedDate":"2026-04-02T15:48:25.149913","indexId":"70274657","displayToPublicDate":"2023-06-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23780,"text":"WIREs Computational Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A review of N-mixture models","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>N-mixture models were born in 2004 of the necessity to model animal population size from point counts with imperfect detection of individuals, where capture-recapture methods are infeasible. Initially developed for applications where population size was assumed constant, N-mixture models were extended in 2011 to include population dynamics, allowing application to populations whose size fluctuates during the study. A further extension in 2014 accommodates populations with multiple “states” such as age class or sex. More recent extensions model spatial movement of animals among habitat patches or the spatial spread of infectious disease in a human population. The core idea underlying this class of models is a hierarchical structure, where the observation model is defined conditional on the model for true abundance. This hierarchy allows researchers to incorporate information about observation and abundance processes, while permitting distinct inferences about elements affecting detection and those affecting abundance. Another benefit of the hierarchical approach is the ability to accommodate many existing sampling protocols such as removal sampling and distance sampling. One drawback to N-mixture models is that since they estimate both abundance and detection from replicated but unmarked counts, model parameters may not be clearly identifiable. A second drawback is that when observed counts are large, calculating the N-mixture likelihood is computationally infeasible. This difficulty motivated an approximate likelihood based on the normal approximation to the binomial. The normal approximation provides a diagnostic of parameter estimability based on the closed-form expression of the Fisher information matrix for a multivariate normal likelihood.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wics.1625","usgsCitation":"Madsen, L., and Royle, J., 2023, A review of N-mixture models: WIREs Computational Statistics, v. 15, no. 6, e1625, 15 p., https://doi.org/10.1002/wics.1625.","productDescription":"e1625, 15 p.","ipdsId":"IP-147184","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wics.1625","text":"Publisher Index Page"},{"id":502005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Madsen, Lisa","contributorId":369194,"corporation":false,"usgs":false,"family":"Madsen","given":"Lisa","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70247803,"text":"70247803 - 2023 - Knowledge gaps, uncertainties, and opportunities regarding the response of the Chesapeake Bay estuary to restoration efforts","interactions":[],"lastModifiedDate":"2023-08-18T12:18:04.306608","indexId":"70247803","displayToPublicDate":"2023-05-31T07:16:15","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Knowledge gaps, uncertainties, and opportunities regarding the response of the Chesapeake Bay estuary to restoration efforts","docAbstract":"As part of the Chesapeake Bay Program's (CBP's) Science and Technical Advisory Committee (STAC) initiative \"Achieving Water Quality Goals in the Chesapeake Bay: An Evaluation of System Response\", an Estuary Working Group was formed to generate an assessment of scientific knowledge gaps, uncertainties, and recent ecosystem changes to consider in light of CBP's impending goal of full implementation of management measures (Total Maximum Daily Load [TMDL] agreements and associated necessary stakeholder actions) that are being finalized and designed to achieve living resource-based nutrient targets by 2025. \n\nThis document summarizes aspects of the knowledge gaps, uncertainties, and associated needs and opportunities relating to our understanding of how the Chesapeake Bay estuary has responded to previously implemented management plans, and what features of the ecosystem may slow or enhance its response to future management actions in the face of expected continuations of climatic change.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Scientific and Technical Advisory Committee Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Chesapeake Bay Science and Technical Advisory Committee","collaboration":"University of Maryland Center for Environmental Science; Johns Hopkins University; University of Maryland Eastern Shore; U.S. Environmental Protection Agency; Foundation for Food and Agriculture Research","usgsCitation":"Testa, J.M., Dennison, W., Ball, W.P., Boomer, K., Gibson, D.M., Linker, L.C., Runge, M.C., and Sanford, L., 2023, Knowledge gaps, uncertainties, and opportunities regarding the response of the Chesapeake Bay estuary to restoration efforts, 61 p.","productDescription":"61 p.","ipdsId":"IP-146985","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":419926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419915,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeake.org/stac/wp-content/uploads/2023/05/23-004_Estuary-updated.pdf"}],"country":"United States","otherGeospatial":"Chesapeake Bay estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.63835995141072,\n              40.258031063896965\n            ],\n            [\n              -77.63835995141072,\n              36.5239575992841\n            ],\n            [\n              -75.22240433642538,\n              36.5239575992841\n            ],\n            [\n              -75.22240433642538,\n              40.258031063896965\n            ],\n            [\n              -77.63835995141072,\n              40.258031063896965\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Testa, Jeremy M.","contributorId":244524,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":880515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":248356,"corporation":false,"usgs":false,"family":"Dennison","given":"William C.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":880516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, William P.","contributorId":174394,"corporation":false,"usgs":false,"family":"Ball","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":27446,"text":"Johns Hopkins University, Department of Geography and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":880517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, Kathleen","contributorId":328534,"corporation":false,"usgs":false,"family":"Boomer","given":"Kathleen","email":"","affiliations":[{"id":78388,"text":"Foundation for Food and Agriculture Research","active":true,"usgs":false}],"preferred":false,"id":880518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibson, Deirdre M","contributorId":328535,"corporation":false,"usgs":false,"family":"Gibson","given":"Deirdre","email":"","middleInitial":"M","affiliations":[{"id":78389,"text":"University of Maryland Eastern Shore","active":true,"usgs":false}],"preferred":false,"id":880519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":880520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":880521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanford, Lawrence","contributorId":328536,"corporation":false,"usgs":false,"family":"Sanford","given":"Lawrence","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":880522,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70244169,"text":"70244169 - 2023 - When are environmental DNA early detections of invasive species actionable?","interactions":[],"lastModifiedDate":"2023-06-06T11:45:06.863039","indexId":"70244169","displayToPublicDate":"2023-05-27T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"When are environmental DNA early detections of invasive species actionable?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate appropriate response actions to hypothetical eDNA early detections of an introduced aquatic plant in Sebago Lake (Maine, USA). The results were juxtaposed to a recent study that used a similar SDM approach to evaluate response actions to hypothetical eDNA early detections of introduced mussels in Jordanelle Reservoir (Utah, USA). We found that eDNA early detections were not actionable in Sebago Lake because the plant's invasion potential was spatially constrained and the current management activities provided acceptable levels of mitigation. In Jordanelle Reservoir, eDNA detections were actionable due to high invasion potential and analyses supported management actions to contain the invasion. The divergent outcomes of the two case studies are related to the unique attributes of the habitats and species, highlighting the utility of the SDM approach when considering an eDNA monitoring program. We use these two case studies to present a general SDM framework and a set of heuristics that can be efficiently applied to eDNA early detection rapid response scenarios and other instances associated with indeterminant eDNA detections, especially when there is an imperative to make decisions as quickly as possible.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118216","usgsCitation":"Sepulveda, A., Dumoulin, C.E., Blanchette, D.L., Mcphedran, J., Holme, C., Whalen, N., Hunter, M., Merkes, C.M., Richter, C.A., Neilson, M., Daniel, W., Jones-Slobodian, D.N., and Smith, D.R., 2023, When are environmental DNA early detections of invasive species actionable?: Journal of Environmental Management, v. 343, 118216, 11 p., https://doi.org/10.1016/j.jenvman.2023.118216.","productDescription":"118216, 11 p.","ipdsId":"IP-149995","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443331,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.118216","text":"Publisher Index Page"},{"id":435311,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S0UI5P","text":"USGS data release","linkHelpText":"Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022"},{"id":417804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Sebago Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.70002657573285,\n              43.99765091722284\n            ],\n            [\n              -70.70002657573285,\n              43.72547305643491\n            ],\n            [\n              -70.36920538072656,\n              43.72547305643491\n            ],\n            [\n              -70.36920538072656,\n              43.99765091722284\n            ],\n            [\n              -70.70002657573285,\n              43.99765091722284\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":874706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Christine E. 0000-0001-7587-9417","orcid":"https://orcid.org/0000-0001-7587-9417","contributorId":298038,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":874707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchette, Denise L.","contributorId":306083,"corporation":false,"usgs":false,"family":"Blanchette","given":"Denise","email":"","middleInitial":"L.","affiliations":[{"id":39476,"text":"Maine Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":874708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcphedran, John","contributorId":177769,"corporation":false,"usgs":false,"family":"Mcphedran","given":"John","email":"","affiliations":[],"preferred":false,"id":874709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holme, Colin","contributorId":306084,"corporation":false,"usgs":false,"family":"Holme","given":"Colin","email":"","affiliations":[{"id":66366,"text":"Lakes Environmental Association, Bridgton, Maine","active":true,"usgs":false}],"preferred":false,"id":874710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whalen, Nathan","contributorId":306085,"corporation":false,"usgs":false,"family":"Whalen","given":"Nathan","email":"","affiliations":[{"id":66367,"text":"Portland Water District, Portland, Maine","active":true,"usgs":false}],"preferred":false,"id":874711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874712,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":874713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":874714,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":222920,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874715,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874716,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":874717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874718,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70243942,"text":"sir20235012 - 2023 - Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources","interactions":[],"lastModifiedDate":"2026-03-02T21:54:15.440486","indexId":"sir20235012","displayToPublicDate":"2023-05-26T06:42:17","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":"2023-5012","displayTitle":"Tungsten Resources of the Northern Rocky Mountains, Montana and Idaho—A Synthesis and Quantitative Assessment of Skarn-Hosted Resources","title":"Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources","docAbstract":"<p>Mineral resource assessments performed by the U.S. Geological Survey provide a synthesis of available information about the location of known and suspected mineral deposits. This study focuses on skarn-hosted tungsten resources in the northern Rocky Mountain region of east-central Idaho and western Montana which have seen moderate tungsten trioxide production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The area’s geology is dominated by large Cretaceous and Tertiary plutons that are emplaced into a belt of Mesoproterozoic to Permian sedimentary rock and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten skarn mineral sites are associated with contacts between Cretaceous plutons and calcareous and argillaceous sedimentary or metasedimentary rocks, including two skarn deposits in Montana (Calvert and Browns Lake) that are consistent with an updated grade and tonnage model.</p><p>This study (1) delineates permissive tracts where undiscovered tungsten skarn deposits may occur within 1 kilometer of the surface; (2) presents a tungsten mineral site dataset from a variety of public sources; (3) evaluates currently available geochemical, geophysical, and radiometric age data in support of tract delineation; (4) provides probabilistic estimates of the amount of tungsten and tungsten-mineralized rock that could be contained in undiscovered deposits within one major tract; (5) estimates the value of total undiscovered deposits using economic filter analysis; and (6) provides a synthesis of metallogenic controls on regional tungsten skarn and granitoid-related mineral deposits.</p><p>Two permissive tracts were delineated: the Great Falls tectonic zone (GFTZ)-Cretaceous tract, for which a quantitative assessment was performed, and the Bitterroot tract, which was assessed in a qualitative manner. The quantitative three-part assessment, conducted in August 2019, indicates that undiscovered tungsten resources might exist in skarn-type deposits within the study area. Using a negative binomial function, a mean of 4 undiscovered deposits was calculated from panel estimates. Simulation results that combine an updated grade and tonnage model with estimates of undiscovered deposits include the amounts of ore and contained tungsten trioxide at different levels of uncertainty. A mean of 250,000 metric tons and median of 200,000 metric tons contained tungsten trioxide was calculated for the undiscovered deposits within the GFTZ-Cretaceous tract. The value of undiscovered deposits was estimated using a new economic filter that considers factors such as mine type, deposit depth, deposit geometry, metallurgical recovery rate, cutoff grade, and tract area.</p><p>A review of the regional Archean to Paleogene geology suggests that ore metal (copper, molybdenum, and tungsten) variations in intrusion-related deposits of Montana and Idaho may be controlled by a number of factors including the age and composition of underlying basement terranes, depth of emplacement, pluton chemistry and degree of fractionation, redox conditions, and aqueous fluid-melt partition coefficients.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235012","programNote":"Mineral Resources Program","usgsCitation":"Andersen, A.K., Goldman, M.A., Bennett, M.M., Dicken, C.L., Brown, P.J., and Parks, H.L., 2023, Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources: U.S. Geological Survey Scientific Investigations Report 2023-5012, 87 p., https://doi.org/10.3133/sir20235012.","productDescription":"Report: viii, 87 p.; Data Release","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-122167","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500706,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114742.htm","linkFileType":{"id":5,"text":"html"}},{"id":417441,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9094RVV","text":"Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho","description":"Goldman, M.A., Dicken, C.L., Brown, P.J., Andersen, A.K., Bennett, M.M., and Parks, H.L., 2022, Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho: U.S. Geological Survey data release, https://doi.org/10.5066/P9094RVV."},{"id":417443,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5012/sir20235012.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5012/covrthb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Northern Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.93058150555078,\n              48.9704513230287\n            ],\n            [\n              -116.93058150555078,\n              43.38357304109826\n            ],\n            [\n              -111.08762543219147,\n              43.38357304109826\n            ],\n            [\n              -111.08762543219147,\n              48.9704513230287\n            ],\n            [\n              -116.93058150555078,\n              48.9704513230287\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\" data-mce-href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Introduction</li><li>Study Responsibilities</li><li>Geologic Setting of the Study Area</li><li>Descriptive Models and Orebody Characteristics of Tungsten in the Study Area</li><li>Exploration History and Significant Tungsten Mineral Sites</li><li>Assessment Data and Tract Delineation</li><li>Mineral Potential Assessment of Undiscovered Tungsten Skarn Deposits</li><li>Metallogenic Controls on Tungsten Mineralization</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-05-26","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Margaret A. 0000-0003-2232-6362 mgoldman@usgs.gov","orcid":"https://orcid.org/0000-0003-2232-6362","contributorId":176468,"corporation":false,"usgs":true,"family":"Goldman","given":"Margaret","email":"mgoldman@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Philip J. 0000-0002-2415-7462 pbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-2415-7462","contributorId":759,"corporation":false,"usgs":true,"family":"Brown","given":"Philip","email":"pbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873847,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70244013,"text":"70244013 - 2023 - Is now the time? Review of genetic rescue as a conservation tool for brook trout","interactions":[],"lastModifiedDate":"2023-05-31T12:26:34.070576","indexId":"70244013","displayToPublicDate":"2023-05-25T07:25:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Is now the time? Review of genetic rescue as a conservation tool for brook trout","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Brook trout populations have been declining throughout their native range in the east coast of the United States. Many populations are now distributed in small, isolated habitat patches where low genetic diversity and high rates of inbreeding reduce contemporary viability and long-term adaptive potential. Although human-assisted gene flow could theoretically improve conservation outcomes through genetic rescue, there is widespread hesitancy to use this tool to support brook trout conservation. Here, we review the major uncertainties that have limited genetic rescue from being considered as a viable conservation tool for isolated brook trout populations and compare the risks of genetic rescue with other management alternatives. Drawing on theoretical and empirical studies, we discuss methods for implementing genetic rescue in brook trout that could yield long-term evolutionary benefits while avoiding negative fitness effects associated with outbreeding depression and the spread of maladapted alleles. We also highlight the potential for future collaborative efforts to accelerate our understanding of genetic rescue as a viable tool for conservation. Ultimately, while we acknowledge that genetic rescue is not without risk, we emphasize the merits that this tool offers for protecting and propagating adaptive potential and improving species' resilience to rapid environmental change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10142","usgsCitation":"White, S.L., Rash, J.M., and Kazyak, D.C., 2023, Is now the time? Review of genetic rescue as a conservation tool for brook trout: Ecology and Evolution, v. 13, no. 5, e10142, 12 p., https://doi.org/10.1002/ece3.10142.","productDescription":"e10142, 12 p.","ipdsId":"IP-143317","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10142","text":"Publisher Index Page"},{"id":417571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":874147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243904,"text":"70243904 - 2023 - Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic","interactions":[],"lastModifiedDate":"2023-05-24T18:53:49.243988","indexId":"70243904","displayToPublicDate":"2023-05-24T13:24:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic","docAbstract":"<p><span>Resource availability is a key factor driving marine bird movements and distributions, but direct information on prey availability is difficult to obtain at relevant scales. We present novel methods for describing multi-scale trophic associations, combining movement analyses of marine birds with estimates of forage fish surface aggregations from digital aerial survey data and species occupancy from bottom trawl survey data. We analyzed satellite telemetry data from northern gannets&nbsp;</span><i>Morus bassanus</i><span>, red-throated loons&nbsp;</span><i>Gavia stellata</i><span>, and long-tailed ducks&nbsp;</span><i>Clangula hyemalis</i><span>&nbsp;in the US Atlantic during the non-breeding period. Using discrete-time hidden Markov models to distinguish area-restricted (i.e. putative foraging) from transit movements, we examined how environmental factors influence movement, and how forage fish species distributions and surface aggregations influence habitat use by gannets and loons that have greater dietary reliance. Our results suggest that chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentration significantly affected movement behavior across species, highlighting the importance of higher-productivity areas around estuaries during colder months when regional productivity is low. Though variable across species and seasons, spatial cross-correlation analysis revealed that herring species (Family Clupeidae), including Atlantic menhaden&nbsp;</span><i>Brevoortia tyrannus</i><span>, may be important resources; it also showed positive spatial correlations with forage fish aggregations. This suggests that prey patch dynamics and factors driving aggregation formation may be as important as species composition. However, spatial patterns were generally low (&lt;0.3), suggesting a mismatch in spatiotemporal resolution, exemplifying the challenges in quantifying trophic relationships in marine systems. Disentangling predator-prey relationships is critical to understanding the mechanisms driving marine bird behavior in rapidly changing marine systems.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps14316","usgsCitation":"Gulka, J., Berlin, A., Friedland, K., Gilbert, A., Goetsch, C., Montevecchi, W., Perry, M., Stenhouse, I., Williams, K.A., and Adams, E.A., 2023, Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic: Marine Ecology Progress Series, v. 711, p. 77-99, https://doi.org/10.3354/meps14316.","productDescription":"23 p.","startPage":"77","endPage":"99","ipdsId":"IP-150930","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14316","text":"Publisher Index Page"},{"id":417406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.25987342428122,\n              25.49083684996951\n            ],\n            [\n              -60.361707727220605,\n              25.49083684996951\n            ],\n            [\n              -60.361707727220605,\n              45.94936874492856\n            ],\n            [\n              -81.25987342428122,\n              45.94936874492856\n            ],\n            [\n              -81.25987342428122,\n              25.49083684996951\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"711","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gulka, Julia","contributorId":303827,"corporation":false,"usgs":false,"family":"Gulka","given":"Julia","email":"","affiliations":[],"preferred":false,"id":873676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlin, Alicia 0000-0002-5275-3077","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":216023,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":873677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedland, Kevin","contributorId":292483,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","affiliations":[],"preferred":false,"id":873678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilbert, Andrew","contributorId":194560,"corporation":false,"usgs":false,"family":"Gilbert","given":"Andrew","affiliations":[],"preferred":false,"id":873679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetsch, Chandra","contributorId":214868,"corporation":false,"usgs":false,"family":"Goetsch","given":"Chandra","email":"","affiliations":[],"preferred":false,"id":873680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montevecchi, William","contributorId":171895,"corporation":false,"usgs":false,"family":"Montevecchi","given":"William","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":873681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, Matthew","contributorId":194761,"corporation":false,"usgs":false,"family":"Perry","given":"Matthew","affiliations":[],"preferred":false,"id":873682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stenhouse, Iain","contributorId":194567,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Iain","affiliations":[],"preferred":false,"id":873683,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kate A.","contributorId":219079,"corporation":false,"usgs":false,"family":"Williams","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":873684,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":873685,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70243701,"text":"ofr20231012 - 2023 - Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018","interactions":[],"lastModifiedDate":"2024-03-04T18:02:32.080314","indexId":"ofr20231012","displayToPublicDate":"2023-05-24T11:30:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1012","displayTitle":"Estimating Northern Spotted Owl (<em>Strix occidentalis caurina</em>) Pair Detection Probabilities Based on Call-Back Surveys Associated with Long-Term Mark-Recapture Studies, 1993–2018","title":"Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018","docAbstract":"<p>The northern spotted owl (<i>Strix occidentalis caurina</i>; hereinafter NSO) was listed as “threatened” under the Endangered Species Act in 1990 and population declines have continued since that listing. Given the species’ protected status, any proposed activities on Federal lands that might impact NSO require consultation with U.S. Fish and Wildlife Service and part of that consultation often includes surveys to determine presence and occupancy status of the species in the proposed activity area. The objective of this report is to present study-area specific estimates of the probability of detection for NSO pairs from twelve 2-week seasonal survey periods using data from a recent range-wide meta-analysis. These estimates were a by-product of pair occupancy modeling but might provide insight into potential changes in the effect of the invasive barred owl on NSO detection rates. We used two-species multi-season occupancy models to estimate the probability of detection for NSOs on each of 11 study areas for each 2-week survey period and relative to the range-wide effect of barred owl presence or absence. Detection probabilities within the season generally increased from the earliest surveys in March through mid-season, decreasing again in the late season on five study areas. For three other study areas, detection rates were highest during the earliest survey periods in late March or early April. Estimates of cumulative seasonal detection of NSO (across a maximum of six within-season surveys) were less than 0.90 when barred owls (BO) were present on all but one study area, regardless of when surveys were conducted within a season. However, despite low detection rates, the probability that a territory was occupied when an NSO pair was not detected over six within-season surveys was also very low. When BO are not present on a territory, a six-survey protocol had a high probability of detecting an NSO pair at least once during the season on all study areas, except for the very lowest per-survey estimates. Conducting most surveys earlier in the season, when the probability of detecting pairs is highest (through May on most areas) could improve seasonal detection rates. However, alternative methods of population monitoring—such as the use of passive acoustic recorders—may be needed to continue monitoring NSO for research and management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231012","collaboration":"Prepared in cooperation with Oregon State University","usgsCitation":"Dugger, K.M., Franklin, A.B., Lesmeister, D.B., Davis, R.J., Wiens, J.D., White, G.C., Nichols, J.D., Hines, J.E., Yackulic, C.B., Schwarz, C.J., Ackers, S.H., Andrews, L.S., Bailey, L.L., Bown, R., Burgher, J., Burnham, K.P., Carlson, P.C., Chestnut, T., Conner, M.M., Dilione, K.E., Forsman, E.D., Gremel, S.A., Hamm, K.A., Herter, D.R., Higley, J.M., Horn, R.B., Jenkins, J.M., Kendall, W.L., Lamphear, D.W., McCafferty, C., McDonald, T.L., Reid, J.A., Rockweit, J.T., Simon, D.C., Sovern, S.G., Swingle, J.K., and Wise, H., 2023, Estimating northern spotted owl (<em>Strix occidentalis caurina</em>) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018: U.S. Geological Survey Open-File Report 2023–1012, 25 p., https://doi.org/10.3133/ofr20231012.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-133003","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":417167,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231012/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 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