{"pageNumber":"137","pageRowStart":"3400","pageSize":"25","recordCount":185169,"records":[{"id":70261916,"text":"70261916 - 2024 - Evaluating behavioral responses of spawning-phase Walleyes to odors of rivers and other Walleyes","interactions":[],"lastModifiedDate":"2025-01-03T14:59:05.285177","indexId":"70261916","displayToPublicDate":"2024-12-01T08:46:56","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":19873,"text":"Fisheries Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"42","title":"Evaluating behavioral responses of spawning-phase Walleyes to odors of rivers and other Walleyes","docAbstract":"<p>Many fish species show a remarkable ability to home to streams for spawning and fishery managers have applied that knowledge to restore or rehabilitate populations of some species. Walleye <i>Sander vitreus</i> show strong homing tendencies and the ability to select their natal river from other streams. The role of olfactory cues has been hypothesized but never tested in Walleye and many aspects of Walleye migratory behavior associated with spawning are poorly understood. The objectives of our study were: 1) to determine if spawning-phase Walleye from the Ford River in Michigan favored the odor of water from their home stream over that of a nearby river, and 2) to examine effects of male and female Walleye (conspecific) odors on water choice preferences of spawning-phase male Walleyes to learn whether such odors may attract adult Walleyes into rivers. Flow-through flume assays with two side-by-side channels were used to evaluate behavioral preferences of spawning-phase Walleye to river and conspecific odors. Odors of Ford River in 2021 trials and conspecific males in 2019 trials (when analyzed by individuals but not groups) influenced the behavior of male Walleye. However, follow up work during 2022 did not detect any responses to Ford River water or male-conditioned water. Additional work is needed to determine the possible role of olfactory cues in the homing behavior of spawning-phase Walleye.</p>","language":"English","publisher":"Michigan Department of Natural Resources Fisheries Division","usgsCitation":"Buchinger, T., Zorn, T., Johnson, N.S., and Li, W., 2024, Evaluating behavioral responses of spawning-phase Walleyes to odors of rivers and other Walleyes: Fisheries Report 42, 20 p.","productDescription":"20 p.","ipdsId":"IP-172040","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":465626,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iffr.mlasolutions.com/m5/catalog/(S(fhe0djtxnhubj43wwapnvh5z))/Default.aspx?internal=1&installation=Default","linkFileType":{"id":5,"text":"html"}},{"id":465627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Escanaba River, Ford River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.98593343598178,\n              45.89236768495988\n            ],\n            [\n              -87.3634133747496,\n              45.89236768495988\n            ],\n            [\n              -87.3634133747496,\n              45.64322905774273\n            ],\n            [\n              -86.98593343598178,\n              45.64322905774273\n            ],\n            [\n              -86.98593343598178,\n              45.89236768495988\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchinger, Tyler","contributorId":126747,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":922266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zorn, Troy","contributorId":340819,"corporation":false,"usgs":false,"family":"Zorn","given":"Troy","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":922267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":922268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":922269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266012,"text":"70266012 - 2024 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2023","interactions":[],"lastModifiedDate":"2025-04-24T13:22:22.440508","indexId":"70266012","displayToPublicDate":"2024-12-01T08:37:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"displayTitle":"Fisheries Research and Monitoring Activities of the Lake Erie Biological Station, 2023","title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2023","docAbstract":"This report presents biomass-based summaries of fish communities in western Lake Erie derived from USGS bottom trawl surveys conducted from 2013 to 2023. Analyses herein evaluated trends in total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online and are accessible for download. Annual survey data are added to these sources as data become available.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Dufour, M.R., Guzzo, F., Hilling, C.D., Keretz, K.R., Kraus, R., Oldham, R.C., Roberts, J., and Schmitt, J., 2024, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2023: Annual Report, 13 p.","productDescription":"13 p.","ipdsId":"IP-162697","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":484976,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}},{"id":484904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": 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Center","active":true,"usgs":true}],"preferred":true,"id":934313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzzo, Francesco 0000-0003-2374-0514","orcid":"https://orcid.org/0000-0003-2374-0514","contributorId":351294,"corporation":false,"usgs":true,"family":"Guzzo","given":"Francesco","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":934311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oldham, Richard Cole 0000-0002-2331-7612","orcid":"https://orcid.org/0000-0002-2331-7612","contributorId":294345,"corporation":false,"usgs":true,"family":"Oldham","given":"Richard","email":"","middleInitial":"Cole","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934317,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70262799,"text":"70262799 - 2024 - Sensitivity of Alabama freshwater gastropod species to nickel exposure","interactions":[],"lastModifiedDate":"2025-01-23T15:18:24.096964","indexId":"70262799","displayToPublicDate":"2024-12-01T08:12:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of Alabama freshwater gastropod species to nickel exposure","docAbstract":"<p><span>Snails are effective bioindicators due to their prolific distribution, high level of endemism, and capacity to accumulate contaminants. Freshwater snails have unique ecological niches which are imperiled by land‐use change and the introduction of hazardous chemicals. To assess how environmental alterations affect gastropods, lab‐based studies are needed to characterize the toxicity of specific stressors. This can help guide policy decisions and remediation efforts. The aim of this research was to characterize acute toxicity of nickel (Ni) on endemic snails (</span><i>Somatogyrus georgianus</i><span>&nbsp;[Walker, 1904],&nbsp;</span><i>Elimia cahawbensis</i><span>&nbsp;[Lea, 1861], and&nbsp;</span><i>Elimia</i><span>&nbsp;spp.) and measure the accumulation of Ni and mineral elements including calcium (Ca), magnesium, potassium, and sodium (Na). Snails were exposed to six concentrations (25–800 µg/L) of Ni for 96 h. Among the studied snail species,&nbsp;</span><i>E. cahawbensis</i><span>&nbsp;was the most sensitive to Ni, with the lowest lethal concentration where 50% of the organisms died (LC50) at 88.88 µg/L Ni after 96 h. The LC50 at 96 h for&nbsp;</span><i>S. georgianus</i><span>&nbsp;was 167.78 µg/L Ni, and 393.13 μg/L Ni for&nbsp;</span><i>Elimia</i><span>&nbsp;spp. Except for&nbsp;</span><i>Elimia</i><span>&nbsp;spp., mortality of the other two snail species corresponded to the whole‐body uptake of Ni. Nickel exposure also influenced Ca and Na uptake for&nbsp;</span><i>Elimia</i><span>&nbsp;spp. All three endemic species are potential candidate species for evaluating localized effects of human activities, and the present study provides a first step in characterizing how snails would be affected by environmental alterations. More research could further characterize potential effects of other human stressors on these endemic snail species. Future research into subindividual responses and routes of exposure can further elucidate variations in species sensitivity.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/etc.5985","usgsCitation":"Barrick, A., Parham, S., Johnson, P., Brewer, S., and Hoang, T., 2024, Sensitivity of Alabama freshwater gastropod species to nickel exposure: Environmental Toxicology and Chemistry, v. 43, no. 12, p. 2578-2588, https://doi.org/10.1002/etc.5985.","productDescription":"11 p.","startPage":"2578","endPage":"2588","ipdsId":"IP-163232","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":480987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Bibb County","otherGeospatial":"Little Cahaba River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.0268,33.247],[-87.026,33.2101],[-87.0216,33.2097],[-87.021,33.2074],[-87.0214,33.1915],[-87.0258,33.192],[-87.0251,33.166],[-87.0037,33.1661],[-87.0037,33.1625],[-86.9763,33.1621],[-86.9741,33.1617],[-86.9741,33.1585],[-86.9692,33.1581],[-86.9694,33.0989],[-86.9507,33.099],[-86.9517,33.0789],[-86.9342,33.079],[-86.9341,33.0644],[-86.9204,33.0649],[-86.9199,33.0613],[-86.916,33.0613],[-86.916,33.0577],[-86.8985,33.0578],[-86.8985,33.05],[-86.8809,33.0501],[-86.8766,33.0501],[-86.8761,32.8366],[-86.9143,32.8378],[-86.958,32.8381],[-86.9607,32.8381],[-86.9836,32.8375],[-87.0191,32.8369],[-87.2134,32.8354],[-87.2233,32.8354],[-87.2331,32.8321],[-87.2691,32.8319],[-87.3193,32.8315],[-87.3192,32.8757],[-87.4208,32.8745],[-87.4203,32.9719],[-87.4218,33.0047],[-87.3184,33.0068],[-87.3175,33.0287],[-87.3111,33.0942],[-87.2813,33.1331],[-87.1991,33.131],[-87.1991,33.1892],[-87.1604,33.2217],[-87.1605,33.2272],[-87.1496,33.2364],[-87.1221,33.2361],[-87.1215,33.222],[-87.1039,33.222],[-87.0767,33.2472],[-87.0657,33.2473],[-87.0268,33.247]]]},\"properties\":{\"name\":\"Bibb\",\"state\":\"AL\"}}]}","volume":"43","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Barrick, Andrew","contributorId":349787,"corporation":false,"usgs":false,"family":"Barrick","given":"Andrew","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":924810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parham, Sean","contributorId":349788,"corporation":false,"usgs":false,"family":"Parham","given":"Sean","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":924811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Paul","contributorId":349789,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","affiliations":[{"id":83515,"text":"Alabama Aquatic Biodiversity Center","active":true,"usgs":false}],"preferred":false,"id":924812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoang, Tham","contributorId":349790,"corporation":false,"usgs":false,"family":"Hoang","given":"Tham","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":924814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263950,"text":"70263950 - 2024 - Global survey of paleo-bedforms on Mars","interactions":[],"lastModifiedDate":"2025-03-03T14:55:07.675739","indexId":"70263950","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Global survey of paleo-bedforms on Mars","docAbstract":"<p><span>Sedimentary processes on Mars have contributed to a plethora of landforms, both ancient and modern. Many of these are aeolian- or fluvial-formed constructs that meet the morphologic criteria for dunes and ripples but are clearly lithified and part of the rock record. This study conducted a survey of Mars using data returned from the High Resolution Imaging Science Experiment (HiRISE) to characterize the spatial distribution, origin, and geologic context of these preserved ancient bedforms, termed here as paleo-bedforms. The most compelling class include organized groups of 2–80-m-tall, crescentic to transverse features spaced at 100–1000&nbsp;m wavelengths at Apollinaris Sulci, Valles Marineris, and other low-latitude sites. These morphologies along with superposed craters, boulders, and fractures led to the interpretation that these are highly lithified, friable, and partially eroded ancient aeolian dunes. In addition to lithified dunes, other remnants of ancient bedforms include examples in which the dune was completely removed, leaving a shallow depression in a crescentic outline as dune cast pits. The most widespread occurrences of paleo-bedforms show crest-to-crest wavelengths (10–80&nbsp;m), heights (∼1–4&nbsp;m), and morphologies consistent with lower-order bedforms of megaripples or transverse aeolian ridges. Paleo-megaripple fields in Arcadia Planitia, Hellas Planitia, Terra Sirenum, and other locations exhibit a progression of degraded morphologies, with crests showing signs of rounding, pitting, or fracturing, while heights and slopes are diminished due to erosion. Most rare are the paleo-bedforms in the fluvial bedform class at Lethe Vallis and Holden crater, as they occur along the path of proposed ancient flooding events. More enigmatic paleo-bedform candidates occur concentrated along the steep Valles Marineris and Noctis Labyrinthus wall slopes. These intermediate-sized, arcuate landforms that resemble transverse climbing dunes are heavily cratered, but they may align perpendicular or oblique to the local gradient, perhaps formed by wall slope winds and slope creep.</span></p><p><span>The bedforms are unlike most ancient terrestrial aeolian or fluvial bedform systems, which are typically preserved only as truncated members of stratigraphic sections. Episodes of burial and exhumation by various geologic units (e.g., the Medusae Fossae Formation, pyroclastic units, lava flows, dust) are notable, whereas other bedforms appear to have been stabilized and partially lithified in place without burial. Ongoing agents of mass wasting, aeolian abrasion, and cryo-driven processes have contributed to the exhumation, erosion, and weathered appearance of paleo-bedforms, and a spectrum of degradation states was observed. Collectively, we report a diverse variety of ancient sedimentary bedforms preserved across Mars, with implications about paleoclimates and landscape evolution on Mars.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2024.109428","usgsCitation":"Chojnacki, M., Fenton, L.K., Edgar, L.A., Day, M.D., Edwards, C., Weintraub, A., Gullikson, A.L., and Telfer, M., 2024, Global survey of paleo-bedforms on Mars: Geomorphology, v. 466, 109428, 31 p., https://doi.org/10.1016/j.geomorph.2024.109428.","productDescription":"109428, 31 p.","ipdsId":"IP-164035","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2024.109428","text":"Publisher Index Page"},{"id":482733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":929315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":929316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":929320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weintraub, Aaron R","contributorId":238778,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron R","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":929319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Telfer, Matt","contributorId":351705,"corporation":false,"usgs":false,"family":"Telfer","given":"Matt","affiliations":[{"id":84036,"text":"SOGEES, University of Plymouth","active":true,"usgs":false}],"preferred":false,"id":929322,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70266791,"text":"70266791 - 2024 - Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms","interactions":[],"lastModifiedDate":"2025-05-13T16:12:59.836863","indexId":"70266791","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms","docAbstract":"<p><span>Estimating the impacts of water allocation decisions on fish populations and habitat availability is an important part of environmental flow assessments, especially in locations where water resources are limited. Two-dimensional hydrodynamic models (2DHMs) are commonly coupled with biological models to estimate fish habitat quality, area, and capacity across a range of proposed streamflows. Increasingly, resource managers are relying on landscape-scale model domains with coarse model resolutions to maintain feasible computational loads, but this may affect habitat estimates if the mesh element size of the model exceeds the spatial scale relevant to the organism. We investigated how coarsening the resolution of a 2DHM influences the area and spatial distribution of estimated Coho Salmon (</span><i>Oncorhynchus kisutch</i><span>) fry habitats. We used an interpolation scheme that upscaled mesh elements from a high-resolution (0.25 m</span><sup>2</sup><span>) 2DHM to quantify and visualize the effects of 2DHM resolution on estimates of Coho Salmon fry habitat for two contrasting channel morphologies and across a broad range of streamflows. Estimates of Coho Salmon fry habitat at increasingly coarser resolutions led to 20%–50% reductions in weighted usable habitat area (WUA) across several streamflow scenarios for a complex channel type, but did not impact estimates in a confined, flume-like channel. Additionally, flow-to-habitat area relationships were not congruent at a given streamflow when resolution coarsened. Along with almost 500% more high-quality habitat area estimated in the complex channel type over the confined, discrepancies in habitat area increased with higher flows in areas defined as optimal for rearing Coho Salmon fry. Considering that complex channel types contain critical habitat for Coho Salmon fry, this study suggests coarse 2DHM resolutions may exclude important wetted edge and off-channel habitats from environmental flow assessments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4341","usgsCitation":"Smit, R., Goodman, D., Boyce, J., and Som, N., 2024, Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms: River Research and Applications, v. 40, no. 10, p. 1912-1924, https://doi.org/10.1002/rra.4341.","productDescription":"13 p.","startPage":"1912","endPage":"1924","ipdsId":"IP-159556","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4341","text":"Publisher Index Page"},{"id":485831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northwestern California, Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.0773085299801,\n              41.83088947125944\n            ],\n            [\n              -124.0773085299801,\n              40.99630781093455\n            ],\n            [\n              -122.45499088828635,\n              40.99630781093455\n            ],\n            [\n              -122.45499088828635,\n              41.83088947125944\n            ],\n            [\n              -124.0773085299801,\n              41.83088947125944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smit, Reuben B.","contributorId":355038,"corporation":false,"usgs":false,"family":"Smit","given":"Reuben B.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodman, Damon H.","contributorId":355039,"corporation":false,"usgs":false,"family":"Goodman","given":"Damon H.","affiliations":[{"id":84701,"text":"California Trout","active":true,"usgs":false}],"preferred":false,"id":936786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Josh","contributorId":355040,"corporation":false,"usgs":false,"family":"Boyce","given":"Josh","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Som, Nicholas A.","contributorId":337297,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas A.","affiliations":[{"id":150,"text":"California Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":936969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266294,"text":"70266294 - 2024 - Cycles in adult steelhead length suggest interspecific competition in the North Pacific Ocean","interactions":[],"lastModifiedDate":"2025-05-02T18:04:07.763361","indexId":"70266294","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Cycles in adult steelhead length suggest interspecific competition in the North Pacific Ocean","docAbstract":"<p>Anadromous fishes rely on abundant prey in the ocean to grow large quickly, but prey limitation leads to interspecific competition. When species interactions are difficult to observe, growth can be studied to detect otherwise cryptic signals of competition. We describe a previously undocumented two-year cycle in the lengths of adult natural-origin steelhead (<i>Oncorhynchus mykiss</i>) returning to spawn in the Snake River Basin. Returning steelhead were 38 mm shorter on odd return years, not accounting for sex, stock, and years of ocean residence. The well-known cycle in abundance of Pink Salmon from eastern Kamchatka and North America had statistically significant negative effects on returning steelhead lengths that depended on sex and the number of years of ocean residence. These results suggest that competition for limited resources occurs well after initial ocean entry and that interactions during later stages of ocean residence can be influential. Interspecific competition has implications for future returns of steelhead from the ocean, especially as metabolic demands for steelhead increase as the ocean warms.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0374","usgsCitation":"Vosbigian, R., Wendling, L., Copeland, T., and Falcy, M.R., 2024, Cycles in adult steelhead length suggest interspecific competition in the North Pacific Ocean: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1666-1675, https://doi.org/10.1139/cjfas-2023-0374.","productDescription":"10 p.","startPage":"1666","endPage":"1675","ipdsId":"IP-152505","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0374","text":"Publisher Index Page"},{"id":485357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"North Pacific Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -185.32689526996586,\n              61.64416165867908\n            ],\n            [\n              -197.030190866797,\n              55.22105865874343\n            ],\n            [\n              -195.44967843647362,\n              49.2111608346834\n            ],\n            [\n              -129.9559003927209,\n              50.23530897305639\n            ],\n            [\n              -142.44277509138277,\n              59.52776817399416\n            ],\n            [\n              -163.55581623425473,\n              58.827510215872856\n            ],\n            [\n              -167.43488725913025,\n              62.05267202630721\n            ],\n            [\n              -185.32689526996586,\n              61.64416165867908\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"81","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vosbigian, Ryan A.","contributorId":354342,"corporation":false,"usgs":false,"family":"Vosbigian","given":"Ryan A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wendling, Logan","contributorId":354343,"corporation":false,"usgs":false,"family":"Wendling","given":"Logan","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copeland, Timothy","contributorId":354344,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935415,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261233,"text":"70261233 - 2024 - From exploration to production: Understanding the development dynamics of lithium mining projects","interactions":[],"lastModifiedDate":"2024-12-03T15:58:19.187192","indexId":"70261233","displayToPublicDate":"2024-11-29T09:53:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3266,"text":"Resources Policy","active":true,"publicationSubtype":{"id":10}},"title":"From exploration to production: Understanding the development dynamics of lithium mining projects","docAbstract":"<p><span>Recently, there has been considerable recent controversy whether current and new lithium mines will be able to supply the rapidly growing needs of the electromobility transition. Mineral exploration projects are typically active for many years, and only some become operational mines. From exploration to production, the projects go through several stages of characterisation and evaluation. At each stage, decisions are made by companies and stakeholders to advance, continue or stop the project. This is a complex process, and even projects with very similar geological and technical characteristics may take very different trajectories, depending on external factors such as global market conditions and local regulatory environments. The present study investigates the dynamics of this process for lithium exploration projects. A global database of 397 lithium projects was compiled, covering their progression through major development stages between 2004 and 2022. Ordinal logistic regression was used for the statistical analysis of this data. Different explanatory variables were tested, including economic, geological, technical, and geographic factors, to identify the best predictors for project progress at each development stage. The results suggest an essential role for lithium carbonate prices, and a variable role for other factors at each stage. Critically, the already elapsed lead time and project economics, which are traditionally considered important for the prediction of the start-up of individual mines, do not appear to be relevant in all cases. The results provide important insights into the dynamics of lithium supply and may eventually allow more realistic forecasts to be made for future lithium market dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.resourpol.2024.105423","usgsCitation":"Buarque, L., Frenzel, M., Bookhagen, B., Kresse, C., Schmidt, M., Nassar, N.T., Alonso, E., Shojaeddini, E., and Sandmann, D., 2024, From exploration to production: Understanding the development dynamics of lithium mining projects: Resources Policy, v. 99, 105423, 17 p., https://doi.org/10.1016/j.resourpol.2024.105423.","productDescription":"105423, 17 p.","ipdsId":"IP-167913","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":466739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2024.105423","text":"Publisher Index Page"},{"id":466738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2024.105423","text":"Publisher Index Page"},{"id":464703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buarque, Laura","contributorId":346844,"corporation":false,"usgs":false,"family":"Buarque","given":"Laura","email":"","affiliations":[{"id":82994,"text":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology","active":true,"usgs":false}],"preferred":false,"id":920007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frenzel, Max","contributorId":346845,"corporation":false,"usgs":false,"family":"Frenzel","given":"Max","affiliations":[{"id":82994,"text":"Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology","active":true,"usgs":false}],"preferred":false,"id":920008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bookhagen, Britta","contributorId":346846,"corporation":false,"usgs":false,"family":"Bookhagen","given":"Britta","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kresse, Carolin","contributorId":346847,"corporation":false,"usgs":false,"family":"Kresse","given":"Carolin","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Michael","contributorId":346848,"corporation":false,"usgs":false,"family":"Schmidt","given":"Michael","email":"","affiliations":[{"id":82995,"text":"Deutsche Rohstoffagentur (DERA) in der Bundesanstalt für Geowissenschaften und Rohstoffe (BGR)","active":true,"usgs":false}],"preferred":false,"id":920011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":920014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sandmann, Dirk","contributorId":346850,"corporation":false,"usgs":false,"family":"Sandmann","given":"Dirk","email":"","affiliations":[{"id":82996,"text":"ERZLABOR Advanced Solutions GmbH","active":true,"usgs":false}],"preferred":false,"id":920015,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70261684,"text":"70261684 - 2024 - Rates of change in invasive annual grass cover to inform management actions in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2024-12-18T17:10:56.159903","indexId":"70261684","displayToPublicDate":"2024-11-28T11:06:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Rates of change in invasive annual grass cover to inform management actions in sagebrush ecosystems","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2024.10.001","usgsCitation":"Roche, M.D., Crist, M., Aldridge, C.L., Sofaer, H., Jarnevich, C.S., and Heinrichs, J., 2024, Rates of change in invasive annual grass cover to inform management actions in sagebrush ecosystems: Rangelands, v. 46, no. 6, p. 183-194, 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,{"id":70261676,"text":"70261676 - 2024 - Limited preservation of strike-slip surface displacement in the geomorphic record","interactions":[],"lastModifiedDate":"2024-12-18T16:47:17.653515","indexId":"70261676","displayToPublicDate":"2024-11-28T10:40:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Limited preservation of strike-slip surface displacement in the geomorphic record","docAbstract":"<p><span>Offset geomorphic markers are commonly used to interpret slip history of strike-slip faults and have played an important role in forming earthquake recurrence models. These data sets are typically analyzed using cumulative probability methods to interpret average amounts of slip in past earthquakes. However, interpretation of the geomorphic record to infer surface slip history is complicated by slip variability, measurement uncertainty, and modification of offset features in the landscape. To investigate how well geomorphic data record surface slip, we use offset measurements from recent strike-slip surface ruptures (</span><i>n</i><span>&nbsp;=&nbsp;39), faults with geomorphic evidence of multiple strike-slip earthquakes (</span><i>n</i><span>&nbsp;=&nbsp;29), and synthetic slip distributions with added noise (</span><i>n</i>&gt;<span>10,000) to examine the constraints of the geomorphic record and the underlying assumptions of the cumulative offset probability distribution analysis method. We find that the geomorphic record is unlikely to resolve more than two paleo-slip distributions, except in specific cases with low slip variability, high slip-per-event, and semiarid climate. In cases where site-specific conditions allow for interpretation of more than two earthquakes, lateral extrapolation along a fault is not straightforward because on-fault displacement and distributed deformation may be spatially variable in each earthquake. We also find that average slip in modern earthquakes is adequately recovered by probability methods, but the reported prevalence of strike-slip faults with characteristic slip history is not supported by geomorphic data. We also propose updated methods to interpret slip history and construct uncertainty bounds for paleo-slip distributions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028692","usgsCitation":"Reitman, N.G., Klinger, Y., Briggs, R.W., and Gold, R.D., 2024, Limited preservation of strike-slip surface displacement in the geomorphic record: Journal of Geophysical Research: Solid Earth, v. 129, no. 11, e2024JB028692, 24 p., https://doi.org/10.1029/2024JB028692.","productDescription":"e2024JB028692, 24 p.","ipdsId":"IP-157733","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":498260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb028692","text":"Publisher Index Page"},{"id":465283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Yann","contributorId":266166,"corporation":false,"usgs":false,"family":"Klinger","given":"Yann","affiliations":[{"id":30776,"text":"Institut de Physique du Globe de Paris","active":true,"usgs":false}],"preferred":false,"id":921402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270587,"text":"70270587 - 2024 - A global view of remote sensing of rangelands: Evolution, applications, future pathways","interactions":[],"lastModifiedDate":"2025-08-21T14:29:51.092797","indexId":"70270587","displayToPublicDate":"2024-11-28T09:27:55","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"A global view of remote sensing of rangelands: Evolution, applications, future pathways","docAbstract":"<p><span>The application of digital remote sensing to rangelands is as long as the history of digital remote sensing itself. Before the launch of the Earth Resources Technology Satellite (ERTS) – later renamed Landsat, scientists were evaluating the use of multispectral aerial imagery to map soils and range vegetation (Yost and Wenderoth 1969). During the late 1960’s, the promise of ERTS, designed to drastically improve our ability to update maps and study earth resources, particularly in developing countries, was eagerly anticipated by a number of government agencies (Carter 1969). With the ERTS launch on July 23, 1972, a flurry of research activity aimed at the application of this new data source to map earth resources began. Practitioners who pioneered the use of satellite based digital remote sensing found the new data source a significant value for rangeland assessments (e.g., Rouse et al., 1973, Rouse et al., 1974, Bauer 1976). This early work established many of the basic techniques still in use today to assess and monitor global rangelands. The following sub-sections discuss the evolution of remote sensing data, methods, and approaches in various decades.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing handbook","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003541165-14","usgsCitation":"Reeves, M., Washington-Allen, R.A., Angerer, J., Hunt, E.R., Kulawardhana, W., Kumar, L., Loboda, T., Loveland, T., Metternicht, G., Ramsey, R.D., Hall, J.V., Benedict, T.D., Millikan, P., Retallack, A., Meddens, A.J., Smith, W.K., and Zhang, W., 2024, A global view of remote sensing of rangelands: Evolution, applications, future pathways, chap. 11 <i>of</i> Remote sensing handbook, v. III, p. 361-418, https://doi.org/10.1201/9781003541165-14.","productDescription":"58 p.","startPage":"361","endPage":"418","ipdsId":"IP-158984","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"III","edition":"2nd edition","noUsgsAuthors":false,"publicationDate":"2024-11-28","publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":211472,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":946743,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Reeves, Matthew","contributorId":95437,"corporation":false,"usgs":true,"family":"Reeves","given":"Matthew","affiliations":[],"preferred":false,"id":946744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Washington-Allen, Robert A.","contributorId":172793,"corporation":false,"usgs":false,"family":"Washington-Allen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":946745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":946746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, E. Raymond","contributorId":360066,"corporation":false,"usgs":false,"family":"Hunt","given":"E.","middleInitial":"Raymond","affiliations":[],"preferred":false,"id":946747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kulawardhana, Wasantha","contributorId":360067,"corporation":false,"usgs":false,"family":"Kulawardhana","given":"Wasantha","affiliations":[],"preferred":false,"id":946748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumar, Lalit","contributorId":172796,"corporation":false,"usgs":false,"family":"Kumar","given":"Lalit","email":"","affiliations":[],"preferred":false,"id":946749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loboda, Tatiana","contributorId":172797,"corporation":false,"usgs":false,"family":"Loboda","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":946750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":946751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Metternicht, Graciela","contributorId":172798,"corporation":false,"usgs":false,"family":"Metternicht","given":"Graciela","email":"","affiliations":[],"preferred":false,"id":946752,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ramsey, R. Douglas","contributorId":172799,"corporation":false,"usgs":false,"family":"Ramsey","given":"R.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":946753,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hall, Joanne V.","contributorId":360069,"corporation":false,"usgs":false,"family":"Hall","given":"Joanne","middleInitial":"V.","affiliations":[],"preferred":false,"id":946754,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Benedict, Trenton David 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":346111,"corporation":false,"usgs":true,"family":"Benedict","given":"Trenton","middleInitial":"David","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":946610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Millikan, Pedro","contributorId":360070,"corporation":false,"usgs":false,"family":"Millikan","given":"Pedro","affiliations":[],"preferred":false,"id":946755,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Retallack, Angus","contributorId":360071,"corporation":false,"usgs":false,"family":"Retallack","given":"Angus","affiliations":[],"preferred":false,"id":946756,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meddens, Arjan J.H.","contributorId":260476,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","middleInitial":"J.H.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":946757,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":946758,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zhang, Wen","contributorId":356791,"corporation":false,"usgs":false,"family":"Zhang","given":"Wen","affiliations":[],"preferred":false,"id":946759,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70263976,"text":"70263976 - 2024 - Wintering grounds leave their mark: Where birds winter influences genomic structure in Arctic nesting common eiders","interactions":[],"lastModifiedDate":"2025-03-04T15:19:16.728961","indexId":"70263976","displayToPublicDate":"2024-11-28T08:12:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Wintering grounds leave their mark: Where birds winter influences genomic structure in Arctic nesting common eiders","docAbstract":"<p><span>Information about the distribution of genomic variation within and between nesting locations of waterfowl can aid in defining populations and conservation plans and inform harvest management. Identification of locations where shifts in allelic diversity occur is particularly important for Arctic nesting species nesting, a region currently experiencing rapid change associated with climate and other factors. Here, we build upon previous investigations on spatial patterns of genetic variation in a largely migratory, circumpolar breeding sea duck, the common eider (</span><i>Somateria mollissima</i><span>) through inclusion of additional sample locations and genomic markers. We analyzed double-digest restriction site-associated DNA sequences from 309 common eiders to estimate genetic variation within, and differentiation among, 21 nesting locations across North America. Our results corroborate previous evidence of four genetic groups that coincide with colonies that share similar winter areas. We found deeper genomic differences between common eiders wintering in the west (Pacific Ocean) versus the east (Atlantic Ocean and Hudson Bay). We also identified subtle structure, not previously recognized, within Hudson Bay nesting common eiders. Our findings add to evidence linking wintering areas and genomic differentiation in waterfowl, offering further insights for management of this culturally important sea duck species.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-024-01654-2","usgsCitation":"Sonsthagen, S.A., Wilson, R., Turner, R., Fortin, M., Gilchrist, G., and Friesen, V., 2024, Wintering grounds leave their mark: Where birds winter influences genomic structure in Arctic nesting common eiders: Conservation Genetics, v. 26, p. 89-101, https://doi.org/10.1007/s10592-024-01654-2.","productDescription":"13 p.","startPage":"89","endPage":"101","ipdsId":"IP-164460","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":929399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E.","contributorId":340822,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":929400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Russell R.","contributorId":351758,"corporation":false,"usgs":false,"family":"Turner","given":"Russell R.","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":929401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortin, Marie-Josee","contributorId":197532,"corporation":false,"usgs":false,"family":"Fortin","given":"Marie-Josee","email":"","affiliations":[],"preferred":false,"id":929402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilchrist, Grant","contributorId":221288,"corporation":false,"usgs":false,"family":"Gilchrist","given":"Grant","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":929403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friesen, Vicki L.","contributorId":351067,"corporation":false,"usgs":false,"family":"Friesen","given":"Vicki L.","affiliations":[{"id":34006,"text":"Queen’s University","active":true,"usgs":false}],"preferred":false,"id":929404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267755,"text":"70267755 - 2024 - Leveraging local wildlife surveys for robust occupancy trend estimation","interactions":[],"lastModifiedDate":"2025-05-30T15:55:26.989134","indexId":"70267755","displayToPublicDate":"2024-11-27T10:48:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging local wildlife surveys for robust occupancy trend estimation","docAbstract":"<p><span>Natural resource agencies are frequently tasked with monitoring populations of at-risk species to ensure management activities do not negatively affect the viability of wildlife populations. Typically, these monitoring efforts evaluate trends in a population’s abundance, occupancy, or geographic distribution. Often, surveys provide local information, but results are generally not incorporated into broad-scale monitoring efforts that focus on range-wide population changes due to their variable nature in both spatial extent and effort. We investigated whether aggregating these local (hereafter “variable”) surveys can generate enough statistical power to estimate broad-scale population trends using simulations of declining populations of fishers (</span><i>Pekania</i><span>&nbsp;</span><i>pennati</i><span>) over a 10-year time horizon. Our simulations included three population sizes which we refer to as abundant, common, and rare (<i><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;msub is=&quot;true&quot;&gt;&lt;mi is=&quot;true&quot;&gt;N&lt;/mi&gt;&lt;mn is=&quot;true&quot;&gt;0&lt;/mn&gt;&lt;/msub&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\">N</span></span></span></i></span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;msub is=&quot;true&quot;&gt;&lt;mi is=&quot;true&quot;&gt;N&lt;/mi&gt;&lt;mn is=&quot;true&quot;&gt;0&lt;/mn&gt;&lt;/msub&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\"><sub>0</sub></span></span></span><sub> </sub>=&nbsp;700, 350, and 100 individuals, respectively) with each declining at a rapid and moderate pace (<span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi is=&quot;true&quot;&gt;&amp;#x3BB;&lt;/mi&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\">λ</span></span></span>&nbsp;=&nbsp;0.933, and 0.977, respectively). For each population, we simulated variable surveys using an occupancy framework to subsample the population with parameters that mimic combining multiple independent monitoring efforts which vary annually in location, and effort. Regardless of spatial consistency of annual sampling, there was minimal variation in statistical power under both high and low detection probability simulations. However, when sampling effort varied each year, statistical power was lower for most populations and sampling scenarios when compared to consistent sampling effort unless some baseline level of sampling effort was reliably achieved in all years. In many cases, adding low-level consistent baseline sampling to variable surveys resulted in statistical power close to that of consistent sampling efforts. Our results suggest statistical power is driven by annual consistency in the proportion of landscape sampled rather than spatial consistency in sampling locations. This result indicates that current variable surveys could be leveraged and combined to detect population declines for at-risk species at broad-scales if a baseline proportion of landscape is robustly sampled. The level of baseline sampling is highly dependent on population size and magnitudes of population change. In simulations with a common or abundant population experiencing a rapid decline, a baseline survey effort of at least 5% of the landscape in combination with variable surveys resulted in statistical power consistently above the standard threshold of 0.80 for occupancy monitoring. Leveraging existing local efforts to achieve high detection probability and baseline sampling would reduce financial and logistical burdens of broad-scale wildlife monitoring efforts.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112863","usgsCitation":"Heiman, J., Tucker, J., Sells, S.N., Millspaugh, J., and Schwartz, M.K., 2024, Leveraging local wildlife surveys for robust occupancy trend estimation: Ecological Indicators, v. 169, 112863, 14 p., https://doi.org/10.1016/j.ecolind.2024.112863.","productDescription":"112863, 14 p.","ipdsId":"IP-169633","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112863","text":"Publisher Index Page"},{"id":489269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.09604758040494,\n              49.031724087428586\n            ],\n            [\n              -117.09604758040494,\n              44.99739898338183\n            ],\n            [\n              -111.51962452503669,\n              44.99739898338183\n            ],\n            [\n              -111.51962452503669,\n              49.031724087428586\n            ],\n            [\n              -117.09604758040494,\n              49.031724087428586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"169","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Heiman, Jordan L.","contributorId":356099,"corporation":false,"usgs":false,"family":"Heiman","given":"Jordan L.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":938744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Jody M.","contributorId":356101,"corporation":false,"usgs":false,"family":"Tucker","given":"Jody M.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":938745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":938747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Michael K.","contributorId":199035,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":938748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250848,"text":"70250848 - 2024 - Seismicity and anisotropic imaging reveal an active detachment beneath the northern Alaska Range foothills","interactions":[],"lastModifiedDate":"2025-01-31T16:42:12.820924","indexId":"70250848","displayToPublicDate":"2024-11-27T10:37:10","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Seismicity and anisotropic imaging reveal an active detachment beneath the northern Alaska Range foothills","docAbstract":"<p><span>North of the Denali Fault, the collision between the Yakutat block with North America is accommodated by a fold-thrust belt giving rise to the northern Alaska Range foothills. At the western end, the Kantishna Hills anticline hosts prominent microseismicity and surface deformation, interpreted as active folding of the Kantishna Hills anticline above a midcrustal detachment. We test for this detachment by using anisotropy-aware receiver functions to image fabric contrasts within the crust in context with seismicity. Seismic stations near the crest of the Kantishna Hills anticline and near its southern flank show a single strong contrast in dipping fabric at depths of 12–13 km near microseismicity clustering depths, consistent with a detachment plane beneath the fold. A minimum&nbsp;</span><i>b</i><span>&nbsp;-value at 10–13 km depth is consistent with seismicity on the detachment, compatible with the imaged anisotropic contrast, while off-fault seismicity is shallower and deeper with smaller magnitudes. South-dipping imbricate thrusts in schist characterize the northern Alaska Range foothills structure. This supports our interpretation of the observed anisotropy as reflecting SSW–SSE-dipping foliation above a detachment at ∼10–13 km depth that exploits existing crustal weaknesses along subtle fabric contrasts observed in the seismically quiescent region north of the actively deforming belt.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch21","usgsCitation":"Schulte-Pelkum, V., Bender, A., and Ruppert, N.A., 2024, Seismicity and anisotropic imaging reveal an active detachment beneath the northern Alaska Range foothills, chap. 21 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 575-587, https://doi.org/10.1002/9781394195947.ch21.","productDescription":"13 p.","startPage":"575","endPage":"587","ipdsId":"IP-153926","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/9781394195947.ch21","text":"Publisher Index Page"},{"id":481556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"editors":[{"text":"Ruppert, Natalia A.","contributorId":89117,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":925870,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jadamec, M.","contributorId":83326,"corporation":false,"usgs":true,"family":"Jadamec","given":"M.","email":"","affiliations":[],"preferred":false,"id":925871,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Freymueller, Jeffery T. 0000-0003-0614-0306","orcid":"https://orcid.org/0000-0003-0614-0306","contributorId":244609,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925872,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Schulte-Pelkum, Vera 0000-0002-6057-5637","orcid":"https://orcid.org/0000-0002-6057-5637","contributorId":244614,"corporation":false,"usgs":false,"family":"Schulte-Pelkum","given":"Vera","email":"","affiliations":[{"id":48947,"text":"Cooperative Institute for Research in Environmental Sciences and Department of Geological Sciences, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":891776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":891777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Natalia A.","contributorId":89117,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273449,"text":"70273449 - 2024 - Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska","interactions":[],"lastModifiedDate":"2026-01-14T15:36:32.289864","indexId":"70273449","displayToPublicDate":"2024-11-27T09:29:20","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska","docAbstract":"<p><span>We present the crustal fault model for Alaska, based on geologic observations, as a primary input for the 2023 revision of the U.S. Geological Survey National Seismic Hazard Model. We update the 2013 Alaska Quaternary fault and fold database to produce a simplified model of 105 fault sections and four fault zone polygons with basic geologic parameters including slip sense and rate. Significant updates include the following: (1) a slip rate of ∼53 mm/year on the Queen Charlotte Fault indicating it accommodates all of the plate boundary motion; (2) quantified slip rates on megathrust splay faults in the southern Prince William Sound region and near Kodiak Island; (3) improved details of structures in the Chugach-St. Elias orogen; (4) revision of the Castle Mountain Fault from right-lateral slip to a predominantly reverse fault; (5) improved Interior Alaska tectonic models that clarify relationships between the Denali, Totschunda, and thrust faults on both sides of the Alaska Range; (6) identified large earthquake sources in the eastern Brooks Range; and (7) omission of the Chatham Strait section of the Denali Fault. The fault model underscores that the collision of the Yakutat microplate is the dominant driver of active crustal faulting in most of Alaska.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch4","usgsCitation":"Haeussler, P., Bender, A., Powers, P.M., Koehler, R.D., and Brothers, D., 2024, Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska, chap. 4 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 85-127, https://doi.org/10.1002/9781394195947.ch4.","productDescription":"43 p.","startPage":"85","endPage":"127","ipdsId":"IP-154998","costCenters":[{"id":119,"text":"Alaska Science Center Geology 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,{"id":70263975,"text":"70263975 - 2024 - Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes","interactions":[],"lastModifiedDate":"2025-03-04T15:01:05.100939","indexId":"70263975","displayToPublicDate":"2024-11-27T08:50:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes","docAbstract":"<p><span>Climate change is altering the thermal habitats of freshwater fish species. We analyze modeled daily temperature profiles from 12,688 lakes in the US to track changes in thermal habitat of 60 lake fish species from different thermal guilds during 1980-2021. We quantify changes in each species’ preferred days, defined as the number of days per year when a lake contains the species’ preferred temperature. We find that cooler-water species are losing preferred days more rapidly than warmer-water species are gaining them. This asymmetric impact cannot be attributed to differences in geographic distribution among species; instead, it is linked to the seasonal dynamics of lake temperatures and increased thermal homogenization of the water column. The potential advantages of an increase in warmer-water species may not fully compensate for the losses in cooler-water species as warming continues, emphasizing the importance of mitigating climate change to support effective freshwater fisheries management.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-54533-2","usgsCitation":"Xu, L., Feiner, Z., Frater, P., Hansen, G., Ladwig, R., Paukert, C.P., Verhoeven, M., Wszola, L., and Jensen, O., 2024, Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes: Nature Communications, v. 15, 10273, 10 p., https://doi.org/10.1038/s41467-024-54533-2.","productDescription":"10273, 10 p.","ipdsId":"IP-165227","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-54533-2","text":"Publisher Index 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,{"id":70261168,"text":"ofr20241069 - 2024 - Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T21:08:42.407925","indexId":"ofr20241069","displayToPublicDate":"2024-11-27T07:12:37","publicationYear":"2024","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":"2024-1069","displayTitle":"Outmigration Behavior and Survival of Juvenile Chinook Salmon (<em>Oncorhynchus tshawytscha</em>) in Response to Deep Drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","title":"Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","docAbstract":"<p>An acoustic telemetry study was conducted during August 2023–February 2024 to evaluate outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in the Middle Fork Willamette River, Oregon, during an experimental operation that was designed to facilitate downstream passage through two reservoirs and two dams. The experimental operation consisted of lowering the water surface elevation of Lookout Point Reservoir by nearly 100 feet between August and December 2023, and passing water through regulating outlets at Lookout Point Dam. This operation was intended to reduce residence time for juvenile Chinook salmon in Lookout Point Reservoir so that these fish would enter the free-flowing Willamette River as quickly as possible. During our study, acoustic-tagged juvenile Chinook salmon were released weekly during late August to late October to determine how fish responded to the drawdown. Data collected during the study were analyzed using a temporally stratified multistate mark-recapture model. We found that Lookout Point Reservoir became isothermic during the drawdown and water temperature exceeded 18 degrees Celsius during most of September 2023. This appeared to adversely affect juvenile Chinook salmon because the proportion of tagged fish that were subsequently detected in the forebay of Lookout Point Dam following release at the head of Lookout Point Reservoir during August 30–September 29 ranged from 0.01 to 0.05 for weekly release groups. Detections increased to 0.44–0.52 for fish released later in the year when water temperatures decreased. We found that fish size was a significant predictor of survival as fork length was positively related to survival probability in reservoir and free-flowing river reaches of our study area, but negatively related to survival probability for fish passing Lookout Point Dam. We also found that increased regulating outlet flow at Lookout Point Dam resulted in increased survival probability for juvenile Chinook salmon and water temperature was inversely related to survival. Results from this study suggest that the drawdown failed to create conditions that facilitated downstream passage and survival of juvenile Chinook salmon through the Lookout Point Project. Our analysis provides insights into several key factors that influence survival. This information can be used by resource managers when considering revised operations that may lead to improved outmigration survival in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241069","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Hance, D.J., Kock, T.J., Kelley, J.R., Hansen, A.C., Perry, R.W., and Fielding, S.D., 2024, Outmigration behavior and survival of juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon: U.S. Geological Survey Open-File Report 2024–1069, 20 p., https://doi.org/10.3133/ofr20241069.","productDescription":"Report: vii, 20 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169049","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497903,"rank":7,"type":{"id":36,"text":"NGMDB 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data release","description":"USGS data release","linkHelpText":"Acoustic-tagged juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) detections in Lookout Point Reservoir and downstream in the Middle Fork Willamette River, Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Project, Middle Fork Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.83475416812524,\n              43.945953407421115\n            ],\n            [\n              -122.83475416812524,\n              43.89190767942003\n            ],\n            [\n              -122.73141100618557,\n              43.89190767942003\n            ],\n            [\n              -122.73141100618557,\n              43.945953407421115\n            ],\n            [\n              -122.83475416812524,\n              43.945953407421115\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishedDate":"2024-11-27","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hance, Dalton J. 0000-0002-4475-706X dhance@usgs.gov","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":206496,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","email":"dhance@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Jake R. 0000-0002-0316-679X","orcid":"https://orcid.org/0000-0002-0316-679X","contributorId":346538,"corporation":false,"usgs":false,"family":"Kelley","given":"Jake R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":919506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielding, Scott D","contributorId":214556,"corporation":false,"usgs":false,"family":"Fielding","given":"Scott","email":"","middleInitial":"D","affiliations":[{"id":39071,"text":"U.S. Army Corps of Engineers, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":919509,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261167,"text":"ofr20241047 - 2024 - California State Waters Map Series—Benthic habitat characterization in the region offshore Humboldt Bay, California","interactions":[],"lastModifiedDate":"2024-11-27T15:02:58.425617","indexId":"ofr20241047","displayToPublicDate":"2024-11-26T15:01:06","publicationYear":"2024","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":"2024-1047","displayTitle":"California State Waters Map Series—Benthic Habitat Characterization in the Region Offshore Humboldt Bay, California","title":"California State Waters Map Series—Benthic habitat characterization in the region offshore Humboldt Bay, California","docAbstract":"Coastal and Marine Ecological Classification Standard (CMECS) geoform, substrate, and biotic component geographic information system (GIS) products were developed for the California State Waters of northern California in the region offshore of Humboldt Bay. The study was motivated by interest in development of offshore wind-energy capacity and infrastructure in Federal waters offshore. This project, carried out by the U.S. Geological Survey (USGS), resulted in four data releases for individual map blocks that are part of the “California State Waters Map Series”: (1) Offshore of Arcata, (2) Offshore of Eureka, (3) Offshore of the Eel River, and (4) Offshore of Cape Mendocino. The study area consists of 436 square kilometers of multibeam echo sounder (MBES) data acquired by Fugro Pelagos, Inc., in 2007. Towed camera-sled video was acquired in 2009 and 2010 to supervise the classification of the MBES data into habitats, and single channel sparker data were collected to calculate sediment thickness above the transgressive unconformity. Using video observations of habitat as ground truth, derivatives of the MBES data were classified into 3 seafloor character types (hard-rugose, hard-flat, and soft-flat), 26 induration-slope-depth groups, and 15 geoforms. The study area substrate is predominantly soft-flat sediment (mud and fine sand) covering 73.6 percent of the area. Hard-flat substrate areas, predominantly coarse sediment in scour depressions, cover 5.4 percent of the study area. The hard-rugose substrate areas are primarily outcrops of layered sedimentary bedrock and constitute 20.9 percent of the study area. Fifteen geoforms were identified in the analysis. The predominant geoforms mirror the seafloor character results, shelf geoforms, rock outcrop geoforms, and scour depression geoforms. Rock and scour areas are restricted to the southern portion of the study area off Cape Mendocino where uplift has exposed bedrock. On the flat shelf area post-transgressive sediment varies in thickness from 1.7 meters (m) nearshore to 28.1 m offshore.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241047","collaboration":"Prepared in cooperation with California State University, Monterey Bay, and the California Ocean Protection Council","usgsCitation":"Cochrane, G.R., 2024, California State Waters Map Series—Benthic habitat characterization in the region offshore Humboldt Bay, California: U.S. Geological Survey Open-File Report 2024–1047, 16 p., https://doi.org/10.3133/ofr20241047.","productDescription":"Report: vi, 16 p.; 4 Data Releases","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-163763","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":464541,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U0SUGL","text":"USGS Data Release","description":"Cochrane, G.R., 2023a, Bathymetry, backscatter intensity, and benthic habitat offshore of Cape Mendocino, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9U0SUGL.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Cape Mendocino, California"},{"id":464542,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P902YIF5","text":"USGS Data Release","description":"Cochrane, G.R., 2023b, Bathymetry, backscatter intensity, and benthic habitat offshore of the Eel River, California: U.S. Geological Survey data release, https://doi.org/10.5066/P902YIF5.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of the Eel River, California"},{"id":464543,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J1K4QX","text":"USGS Data Release","description":"Cochrane, G.R., 2024a, Bathymetry, backscatter intensity, seismic reflection, and benthic habitat offshore of Arcata, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9J1K4QX.","linkHelpText":"Bathymetry, backscatter intensity, seismic reflection, and benthic habitat offshore of Arcata, California"},{"id":464544,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EC35PF","text":"USGS Data Release","description":"Cochrane, G.R., 2024b, Bathymetry, backscatter intensity, seismic reflection, and benthic habitat data offshore of Eureka, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9EC35PF.","linkHelpText":"Bathymetry, backscatter intensity, seismic reflection, and benthic habitat data offshore of Eureka, California"},{"id":464545,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1047/covrthb.jpg"},{"id":464546,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1047/ofr20241047.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Humboldt Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.30403588275337,\n              40.35726223817076\n            ],\n            [\n              -124.0699198949714,\n              40.94874273062649\n            ],\n            [\n              -124.41120466524902,\n              41.03824650903738\n            ],\n            [\n              -124.83641357949674,\n              40.281192650073706\n            ],\n            [\n              -124.32159418026421,\n              40.228217432474366\n            ],\n            [\n              -124.30403588275337,\n              40.35726223817076\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<p><br class=\"gmail-Apple-interchange-newline\"></p><ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-11-26","noUsgsAuthors":false,"publicationDate":"2024-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 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,{"id":70261041,"text":"ofr20241065 - 2024 - Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","interactions":[],"lastModifiedDate":"2024-11-27T14:57:21.031384","indexId":"ofr20241065","displayToPublicDate":"2024-11-26T14:12:36","publicationYear":"2024","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":"2024-1065","displayTitle":"Distribution, Abundance, Breeding Activities, and Habitat Use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>The purpose of this report is to provide the Marine Corps with an annual summary of abundance, breeding activity, demography, and habitat use of endangered Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) at Marine Corps Base Camp Pendleton, California (MCBCP or Base). Surveys for the Least Bell's Vireo were completed at MCBCP between April 11 and July 20, 2023. Core survey areas and a subset of non-core areas in drainages containing riparian habitat suitable for vireos were surveyed two to four times. We detected 561 territorial male vireos and 28 transient vireos in core survey areas. An additional 103 territorial male vireos and 15 transients were detected in non-core survey areas. Transient vireos were detected on 10 of the 15 drainages/sites surveyed (core and non-core areas). In core survey areas, 90 percent of vireo territories were on the four most populated drainages, with the Santa Margarita River containing 72 percent of all territories in core areas surveyed on Base. In core areas, 79 percent of male vireos were confirmed as paired; 69 percent of male vireos in non-core areas were confirmed as paired.</p><p>The number of documented Least Bell’s Vireo territories in core survey areas on MCBCP decreased 2 percent from 2022. In two core survey area drainages, the number of territories increased by at least three, and in two core survey area drainages, the number of vireo territories decreased by at least four between 2022 and 2023. The number of vireo territories at the lower San Luis Rey River increased 2 percent from 2022, in contrast to the decrease at MCBCP; however, this change was negligible overall. Although the 10-percent decrease at Marine Corps Air Station, Camp Pendleton from 2022 to 2023 was superficially less trivial, this 10-percent decrease represented the loss of a single territory. The proportion of surveys during which Brown-headed Cowbirds (<i>Molothrus ater</i>) were detected decreased to 0.20 from a peak of 0.45 in 2022. Cowbirds were detected from April through July in 2023.</p><p>Most core-area vireos (62 percent, including transients) used mixed willow (<i>Salix</i> spp.) riparian habitat. An additional 7 percent of birds occupied willow habitat co-dominated by Western sycamores (<i>Platanus racemosa</i>) or Fremont cottonwoods (<i>Populus fremontii</i>). Riparian scrub dominated by mule fat (<i>Baccharis salicifolia</i>), sandbar willow (<i>S. exigua</i>), or blue elderberry (<i>Sambucus mexicana</i>) was used by 29 percent of vireos. Habitat dominated by coast live oak (<i>Quercus agrifolia</i>) and sycamore or non-native habitat was used by 1 percent of vireos; fewer than 1 percent of vireo territories were in upland scrub and habitat dominated by white alder (<i>Alnus rhombifolia</i>).</p><p>In 2019, MCBCP began operating an artificial seep along the Santa Margarita River; then in 2021, two additional artificial seeps became operational. The artificial seeps pumped water to the surface starting in March and ending in August each year during daylight hours and were designed to increase the amount of surface water present to enhance Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) breeding habitat. Although this enhancement was designed to benefit flycatchers, few flycatchers have inhabited MCBCP, including the seep areas, within the past several years; therefore, vireos were selected as a surrogate species to determine effects of the habitat enhancement. This report presents the fourth year of analyses of vireo and vegetation response to the artificial seeps.</p><p>In 2020, we established four study sites along the Santa Margarita River, two surrounding and extending downstream of seep pumps at the Old Treatment Ponds and along Pump Road, and two Reference sites in similar habitat but further downstream of the Seep sites. In 2023, seep pumps at one Seep site did not function, and we recategorized that study site as Intermediate. Soil moisture was higher at sites that had surface water augmentation (Seep and Intermediate sites) than at the Reference site, and soil moisture also decreased with increasing distance from the seep pumps. We sampled vegetation at these sites to determine the effects of surface water enhancement by seep pumps. Soil moisture was positively related to total foliage cover, woody cover, and native herbaceous cover below 1 meter (m), and also positively related to native herbaceous cover between 1 and 2 m. The Seep site had greater total vegetation cover in the understory (71–79 percent) than the Intermediate (52–66 percent) and Reference (61–69 percent) sites. Total herbaceous cover below 3 m was higher at the Seep site than at the Intermediate site; total herbaceous cover between 1 and 3 m was higher at the Seep site than at the Reference sites. Native herbaceous cover below 3 m was greater at the Seep site than at the Reference sites; native herbaceous cover between 2 and 3 m was also greater at the Seep site than at the Intermediate site. Non-native cover below 3 m was greater at Seep and Reference sites than at the Intermediate site. We found no difference in woody cover among site types at any height.</p><p>Vireo territory density among the Seep, Intermediate, and Reference sites was similar before the seep pumps were installed. However, vireo territory density at Seep and Intermediate sites combined was significantly higher than at Reference sites after the seep pumps were installed.</p><p>The U.S. Geological Survey has been color banding Least Bell’s Vireos on Marine Corps Base Camp Pendleton since 1995. By the end of 2022, over 1,000 Least Bell’s Vireos had been color banded on Base. In 2023, we continued to color band and resight color banded Least Bell’s Vireos to evaluate adult survival, site fidelity, between-year movement, and the effect of surface water enhancement on vireo return rate, site fidelity, and between-year movement. We banded 180 Least Bell's Vireos for the first time during the 2023 season, including 1 adult vireo and 179 nestlings. Adult vireos were banded with unique color combinations, whereas nestlings were banded with a single gold numbered federal band on the right leg.</p><p>We resighted 57 Least Bell's Vireos on Base in 2023 that had been banded before the 2023 breeding season, 20 of which we were unable to identify. Of the 37 that we could identify, 34 were banded on Base, 2 were originally banded on the San Luis Rey River, and 1 was banded at Marine Corps Air Station, Camp Pendleton. Adult birds of known age ranged from 1 to 8 years old.</p><p>Base-wide survival of vireos was affected by sex, age, and year. Males had significantly higher annual survival than females. Adults had higher annual survival than first-year vireos. Survival for adults and first-year birds was lowest from 2020 to 2021 and highest from 2007 to 2008 and from 2012 to 2013. The return rate of adult vireos to Seep, Intermediate, or Reference sites was not affected by the original banding site (Seep versus Intermediate versus Reference).</p><p>Most returning adult vireos, predominantly males, showed strong between-year site fidelity. Of the adults present in 2022, 88 percent (96 percent of males; 25 percent of females) returned in 2023 to within 100 m of their previous territory. The discrepancy between male and female return rates follows the pattern observed in previous years. The average between-year movement for returning adult vireos was 0.4±1.9 kilometers (km). The average movement of first-year vireos detected in 2023 that fledged from a known nest on MCBCP in 2022 was 0.9±0.5 km.</p><p>We monitored Least Bell's Vireo pairs to evaluate the effects of surface water enhancement on nest success and breeding productivity. We monitored vireo nesting activity at 13 territories in the Seep site, 12 territories at the Intermediate site, and 25 territories in the Reference sites between April 8 and July 26. All territories except one at a Seep site and one at a Reference site were occupied by pairs, and all were fully monitored, meaning that all nesting attempts were monitored at these territories. During the monitoring period, 99 nests (26 in the Seep site, 28 at the Intermediate site, and 45 in Reference sites) were monitored.</p><p>Breeding productivity was similar among Seep, Intermediate, and Reference sites (2.9, 3.6, and 3.0 young fledged per pair, respectively), and a similar percentage of pairs at Seep, Intermediate, and Reference sites fledged at least 1 young (83, 83, and 96 percent, respectively). Other measures of breeding productivity were also similar among Seep, Intermediate, and Reference site pairs. According to the best model, daily nest survival in 2023 was not related to site. Fledging success appeared lower at Intermediate and Seep sites than at the Reference sites in 2023 (48, 46, and 67 percent, respectively), although the difference was not statistically significant. Predation was believed to be the primary source of nest failure at all sites. Predation accounted for 85, 77, and 71 percent of nest failures at Seep, Intermediate, and Reference sites, respectively. Failure of the remaining nests was attributed to infertile eggs, collapse of the vegetation supporting the nest, and other unknown causes. We found no relationships between vireo productivity and understory (below 3 m) vegetation cover.</p><p>Vireos placed their nests in 15 plant species in 2023. We found few differences in nest placement between successful and unsuccessful vireo nests. At Reference sites, successful vireo nests were placed slightly but significantly higher in the vegetation than unsuccessful nests, and at Intermediate sites, successful nests were placed significantly closer to the edge of the nest plant than unsuccessful nests. We did not find differences in nest placement among Seep, Intermediate, and Reference sites.</p><p>We found that as bio-year precipitation increased, the number of fledglings produced per vireo pair also increased. We did not find a link between bio-year precipitation and adult survival.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241065","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2024, Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report: U.S. Geological Survey Open-File Report 2024–1065, 84 p., https://doi.org/10.3133/ofr20241065.","productDescription":"ix, 84 p.","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-163540","costCenters":[{"id":651,"text":"Western Ecological Research 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href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<div id=\":1k0\" class=\"Am aiL Al editable LW-avf tS-tW tS-tY\" role=\"textbox\" contenteditable=\"true\" spellcheck=\"false\" aria-label=\"Message Body\" aria-multiline=\"true\" aria-owns=\":1p9\" aria-controls=\":1p9\" aria-expanded=\"false\" data-mce-tabindex=\"1\"><ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Study Areas and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Least Bell’s Vireo Survey Areas at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 2. Vegetation Sampling Locations and Vegetation Sampling Data Sheet, Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 3. Locations of Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 4. Number of Territorial Male Least Bell Vireos in Core Survey Areas at Marine Corps Base Camp Pendleton, by Drainage, 2005–23</li><li>Appendix 5. Proportion of All Surveys during which Brown-headed Cowbirds Were Detected in Core Survey Areas at Marine Corps Base Camp Pendleton, by Drainage, 2005–23</li><li>Appendix 6. Proportion of Least Bell’s Vireo Territories, Including Areas Occupied by Transients, Dominated or Co-Dominated by Non-Native Vegetation, by Drainage, 2005–23</li><li>Appendix 7. Banded Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 8. Between-Year Movement of Adult and Juvenile Least Bell’s Vireos Detected at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 9. Status and Nesting Activities of Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li></ul></div>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-11-26","noUsgsAuthors":false,"publicationDate":"2024-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":919019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":919020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265974,"text":"70265974 - 2024 - Empirical assessments of the type and strength of stream fish habitat associations can advance understanding of functional diversity and promote effective conservation.","interactions":[],"lastModifiedDate":"2025-04-23T13:22:40.617285","indexId":"70265974","displayToPublicDate":"2024-11-26T12:25:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Empirical assessments of the type and strength of stream fish habitat associations can advance understanding of functional diversity and promote effective conservation.","docAbstract":"<p><span>The ability to accurately quantify biodiversity is fundamental to understanding ecological trends, identifying drivers of declines, and selecting effective conservation options. Scientists and resource managers have grappled with what metrics best show relevant biodiversity patterns and are still practical enough to aid on-the-ground resource conservation. Our purpose is to construct empirically derived, functional habitat guilds for prairie stream fish, then recommend future directions for constructing and using diversity metrics that aid field-based conservation. Working in the Upper Neosho River, KS, USA, we used univariate methods, cluster analysis, non-metric multi-dimensional scaling, and an analysis of similarity to functionally group stream fish taxa. The 11 most abundant fish species grouped into seven ecological guilds: riffle specialist, pool specialist, riffle generalist, pool generalist, riffle–run generalist, pool–run generalist, and generalist. Combining the habitat type and strength of association added ecological accuracy to our species groups. Employing multiple statistical methods increased confidence and generality in our grouping results. Moving forward will require a coordinated, coalition-driven, conservation-related strategy on which researchers and practitioners collaborate to synthesize diverse empirical results, organize general principles of structure and function, and balance accuracy with practicality.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/d16120722","usgsCitation":"Hitchman, S., Mather, M.E., and Smith, J., 2024, Empirical assessments of the type and strength of stream fish habitat associations can advance understanding of functional diversity and promote effective conservation.: Diversity, v. 16, no. 12, 722, 15 p., https://doi.org/10.3390/d16120722.","productDescription":"722, 15 p.","ipdsId":"IP-169898","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488494,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d16120722","text":"Publisher Index Page"},{"id":484856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"upper Neosho River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.67877896694408,\n              38.74879466280959\n            ],\n            [\n              -96.67877896694408,\n              38.19528375863817\n            ],\n            [\n              -95.74286259432523,\n              38.19528375863817\n            ],\n            [\n              -95.74286259432523,\n              38.74879466280959\n            ],\n            [\n              -96.67877896694408,\n              38.74879466280959\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitchman, Sean M.","contributorId":271270,"corporation":false,"usgs":false,"family":"Hitchman","given":"Sean M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":934214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":287830,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":934216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257635,"text":"70257635 - 2024 - Comparing conventional tagging methods and acoustic telemetry to inform management of Lake Whitefish in Lake Michigan","interactions":[],"lastModifiedDate":"2025-01-13T16:28:13.220859","indexId":"70257635","displayToPublicDate":"2024-11-26T09:57:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing conventional tagging methods and acoustic telemetry to inform management of Lake Whitefish in Lake Michigan","docAbstract":"<h3 id=\"nafm11040-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Studies of fish movement using conventional tags or acoustic telemetry have different benefits and biases that can influence how conclusions are used in a management context. Our objective was to determine whether these two methods provided similar inferences regarding movements and spawning site fidelity of Lake Whitefish<span>&nbsp;</span><i>Coregonus clupeaformis</i><span>&nbsp;</span>in Lake Michigan. Additionally, we assessed movement patterns and used telemetry to assess residency time of Lake Whitefish to provide managers with information on which stocks might be exposed to harvest in different regions.</p><h3 id=\"nafm11040-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Lake Whitefish were tagged during spawning in (1) North and Moonlight bays, (2) Big Bay de Noc, (3) the Menominee River, and (4) the Fox River. Proportions of fish moving between southern Green Bay, northern Green Bay, and Lake Michigan were compared between tag types. Spawning site fidelity was estimated for each tagging site. Seasonal residency indices were calculated using acoustic telemetry detections.</p><h3 id=\"nafm11040-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Estimates differed between the two methods, but overall trends were similar. Fox River fish rarely left southern Green Bay, and fish tagged in North and Moonlight bays rarely entered Green Bay (&lt;10% of individuals). Big Bay de Noc and Menominee River fish moved into other regions more often (&gt;50% of individuals). The residency indices indicated that Big Bay de Noc fish spent most of their time in Lake Michigan while Menominee River fish spent little time in northern Green Bay despite transitioning to the region. Compared to telemetry, conventional tag recoveries underestimated the proportion of individuals moving among regions. Spawning site fidelity estimates (28–100%) varied among tagging groups and between methods.</p><h3 id=\"nafm11040-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our results suggest that data from conventional tags can inform management at broad geographic scales. However, acoustic telemetry can provide fine-scale information. Information gained from telemetry can be useful in understanding exposure to fishing mortality, which may be valuable for informing management decisions.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11040","usgsCitation":"Izzo, L., Dembkowski, D., Binder, T., Hayden, T., Vandergoot, C.S., Hansen, S., Caroffino, D.C., Krueger, C.C., and Isermann, D.A., 2024, Comparing conventional tagging methods and acoustic telemetry to inform management of Lake Whitefish in Lake Michigan: North American Journal of Fisheries Management, v. 44, no. 6, p. 1232-1248, https://doi.org/10.1002/nafm.11040.","productDescription":"17 p.","startPage":"1232","endPage":"1248","ipdsId":"IP-164284","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466742,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11040","text":"Publisher Index 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,{"id":70261072,"text":"ofr20211030Q - 2024 - System characterization report on Vision-1","interactions":[{"subject":{"id":70261072,"text":"ofr20211030Q - 2024 - System characterization report on Vision-1","indexId":"ofr20211030Q","publicationYear":"2024","noYear":false,"chapter":"Q","displayTitle":"System Characterization Report on Vision-1","title":"System characterization report on Vision-1"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2024-11-26T15:48:38.884331","indexId":"ofr20211030Q","displayToPublicDate":"2024-11-25T13:30:55","publicationYear":"2024","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":"2021-1030","chapter":"Q","displayTitle":"System Characterization Report on Vision-1","title":"System characterization report on Vision-1","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>This report addresses system characterization of the Airbus Vision-1 satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>Vision-1 is a high-resolution Earth observation satellite launched in September 2018 as a collaborative effort between Airbus and Surrey Satellite Technology Ltd. It features a Newtonian telescope with a refractive relay, capturing images in panchromatic and multispectral bands. Operating in a Sun-synchronous orbit at an altitude of 583 kilometers, Vision-1 ensures consistent illumination conditions during image acquisition. It has a revisit time of 1 to 8 days depending on latitude and viewing angle, and it features an off-pointing agility of plus or minus 45 degrees, allowing for multiple target captures in a single pass using spot, strip, and mosaic imaging modes. The panchromatic band offers a resolution of 0.87 meter (m), whereas the multispectral bands (blue, green, red, and near infrared) provide a resolution of 3.48 m. These capabilities support a variety of applications including urban planning, agricultural monitoring, land classification, natural resource management, and disaster response. More information on the Vision-1 satellite and sensors is available in the “2022 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium.”</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that the Vision-1 satellite has an interior geometric performance in the range of 0 to 0.02 m in easting and −0.01 to 0.03 m in northing in band-to-band registration, an exterior geometric performance of 1.7 to 2.2 m in easting and −1.1 to −0.7 m in northing offset with a 90-percent circular error of 3.4 to 3.7 m, a radiometric performance in the range of −0.029 to 0.017 in offset and 0.884 to 0.984 in slope, and a spatial performance in the range of 0.992 to 1.092 pixels for multispectral full width at half maximum and 1.895 pixels for the panchromatic band full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.29 to 0.36 for the multispectral bands and 0.05 for the panchromatic band.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030Q","usgsCitation":"Vrabel, J.C., Bresnahan, P., Sampath, A., Kim, M., Park, S., and Clauson, J., 2024, System characterization report on Vision-1, chap. 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,{"id":70260864,"text":"fs20243042 - 2024 - Using citizen scientists to collect oxygen and hydrogen isotope data in southern Nevada","interactions":[],"lastModifiedDate":"2025-12-22T21:14:16.959755","indexId":"fs20243042","displayToPublicDate":"2024-11-25T12:47:51","publicationYear":"2024","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":"2024-3042","displayTitle":"Using Citizen Scientists to Collect Oxygen and Hydrogen Isotope Data in Southern Nevada","title":"Using citizen scientists to collect oxygen and hydrogen isotope data in southern Nevada","docAbstract":"<h1>What is Citizen Science?</h1><p>Citizen science programs provide a means for Federal and non-Federal government agencies to make science more engaging, transparent, and accessible by partnering with the public for the purpose of problem solving, data collection, and monitoring. 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Samples were shipped to national USGS laboratories for analysis, and the results were uploaded to the NWIS database (U.S. Geological Survey, 2024).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243042","collaboration":"Prepared in cooperation with the U.S. Forest Service, Bureau of Land Management, U.S. Fish and Wildlife Service, and National Park Service","usgsCitation":"Gonzales, J.M., Earp, K.J., and Cromratie Clemons, S.K., 2024, Using citizen scientists to collect oxygen and hydrogen isotope data in southern Nevada: U.S. Geological Survey Fact Sheet 2024–3042, 2 p., https://doi.org/10.3133/fs20243042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-168597","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":497907,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118053.htm"},{"id":464448,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243042/full"},{"id":463892,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3042/images"},{"id":463891,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3042/fs20243042.xml"},{"id":463890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3042/fs20243042.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3042/covrthb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6448726815736,\n              35.0569367782968\n            ],\n            [\n              -114.58859270961553,\n              35.54700274401317\n            ],\n            [\n              -114.6343675607446,\n              36.05085213875432\n            ],\n            [\n              -114.05419193738352,\n              35.97188063994203\n            ],\n            [\n              -114.05603111683918,\n              37\n            ],\n            [\n              -117.13811636232018,\n              37\n            ],\n            [\n              -114.6448726815736,\n              35.0569367782968\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/nv-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2730 N. Deer Run Road<br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>What is Citizen Science?</li><li>How Will Scientists Use the Data?</li><li>What Were the Results of the Project?</li><li>How Can I Get Involved in Citizen Science?</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-11-25","noUsgsAuthors":false,"publicationDate":"2024-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzales, Joshua M. 0009-0003-2000-0155","orcid":"https://orcid.org/0009-0003-2000-0155","contributorId":346167,"corporation":false,"usgs":true,"family":"Gonzales","given":"Joshua","email":"","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earp, Katherine J. 0000-0002-5291-6737 kjearp@usgs.gov","orcid":"https://orcid.org/0000-0002-5291-6737","contributorId":223704,"corporation":false,"usgs":true,"family":"Earp","given":"Katherine","email":"kjearp@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cromratie Clemons, Sade K. 0009-0002-2846-7158","orcid":"https://orcid.org/0009-0002-2846-7158","contributorId":346168,"corporation":false,"usgs":true,"family":"Cromratie Clemons","given":"Sade","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918315,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261145,"text":"70261145 - 2024 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","interactions":[{"subject":{"id":70261145,"text":"70261145 - 2024 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70261145","publicationYear":"2024","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"predicate":"SUPERSEDED_BY","object":{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70267254","publicationYear":"2025","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"id":1}],"supersededBy":{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70267254","publicationYear":"2025","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"lastModifiedDate":"2025-05-28T15:07:14.511594","indexId":"70261145","displayToPublicDate":"2024-11-25T10:11:29","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","docAbstract":"Lampreys (Petromyzontiformes) are an ancient group of fishes with complex life histories. We created a life cycle model that includes an R Shiny interactive web application interface to simulate abundance by life stage. This will allow scientists and managers to connect available demographic information in a framework that can be applied to questions regarding lamprey biology and conservation. We used Pacific lamprey (Entosphenus tridentatus) as a case study to highlight the utility of this model. We applied a global sensitivity analysis to explore the importance of individual life stage parameters to overall population size, and to better understand the implications of existing gaps in knowledge. We also provided example analyses of selected management scenarios (dam passage, fish translocations, and hatchery additions) influencing Pacific lamprey in fresh water. These applications illustrate how the model can be applied to inform conservation efforts. This tool will provide new capabilities for users to explore their own questions about lamprey biology and conservation. Simulations can hone hypotheses and predictions, which can then be empirically tested in the real world.","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X28G9B","collaboration":"Oregon Department of Fish and Wildlife, Yakama Nation Fisheries Resource Management Program","usgsCitation":"Gomes, D.G., Benjamin, J.R., Clemens, B.J., Lampman, R., and Dunham, J., 2024, New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application: EcoEvoRxiv, https://doi.org/10.32942/X28G9B.","productDescription":"52 p.","ipdsId":"IP-172916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488522,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.32942/x28g9b","text":"Publisher Index Page"},{"id":464527,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gomes, Dylan Gerald-Everett 0000-0002-2642-3728","orcid":"https://orcid.org/0000-0002-2642-3728","contributorId":346160,"corporation":false,"usgs":true,"family":"Gomes","given":"Dylan","email":"","middleInitial":"Gerald-Everett","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":919428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":919429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":919430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919431,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263803,"text":"70263803 - 2024 - Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum","interactions":[],"lastModifiedDate":"2025-02-25T15:27:33.181958","indexId":"70263803","displayToPublicDate":"2024-11-25T09:24:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20082,"text":"Geochemical Perspectives Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum","docAbstract":"<p><span>The Paleocene-Eocene thermal maximum (PETM; ∼56 Ma) is a hyperthermal event associated with the rapid input of carbon into the ocean-atmosphere system. The oxidation of petrogenic organic carbon (OC</span><sub>petro</sub><span>) may have released additional carbon dioxide (CO</span><sub>2</sub><span>), thereby prolonging the PETM. However, proxy-based estimates of OC</span><sub>petro</sub><span>&nbsp;oxidation are unavailable due to the lack of suitable techniques. Raman spectroscopy is used to evaluate OC</span><sub>petro</sub><span>&nbsp;oxidation in modern settings. For the first time, we explore whether Raman spectroscopy can evaluate OC</span><sub>petro</sub><span>&nbsp;oxidation during the PETM. In the mid-Atlantic Coastal Plain, there is a shift from disordered to graphitised carbon. This is consistent with enhanced oxidation of disordered OC</span><sub>petro</sub><span>&nbsp;and intensified physical erosion. In the Arctic Ocean, the distribution of graphitised carbon&nbsp;</span><i>vs</i><span>. disordered carbon does not change, suggesting limited variability in weathering intensity. Overall, this study provides the first evidence of increased OC</span><sub>petro</sub><span>&nbsp;oxidation during the PETM, although it was likely not globally uniform. Our work also highlights the utility of Raman spectroscopy as a novel tool to reconstruct OC</span><sub>petro</sub><span>&nbsp;oxidation in the past.</span></p>","language":"English","publisher":"European Association of Geochemistry","doi":"10.7185/geochemlet.2444","usgsCitation":"Hollingsworth, E., Sparkes, R., Self-Trail, J., Foster, G., and Inglis, G., 2024, Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum: Geochemical Perspectives Letters, v. 33, p. 1-6, https://doi.org/10.7185/geochemlet.2444.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-167698","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7185/geochemlet.2444","text":"Publisher Index Page"},{"id":482444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollingsworth, Emily H.","contributorId":351296,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Emily H.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparkes, Robert B.","contributorId":351297,"corporation":false,"usgs":false,"family":"Sparkes","given":"Robert B.","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":928349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@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":928350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Gavin L.","contributorId":351298,"corporation":false,"usgs":false,"family":"Foster","given":"Gavin L.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Inglis, Gordon N.","contributorId":351299,"corporation":false,"usgs":false,"family":"Inglis","given":"Gordon N.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261433,"text":"70261433 - 2024 - Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.","interactions":[],"lastModifiedDate":"2024-12-10T14:54:37.257324","indexId":"70261433","displayToPublicDate":"2024-11-25T08:49:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.","docAbstract":"<p><span>Invasive plant species have substantial negative ecological and economic impacts. Geographic information on the potential and actual distributions of invasive plants is critical for their effective management. For many regions, numerous sources of predictive geographic information exist for invasive plants, often in the form of outputs from species distribution models (</span><abbr id=\"ABBRID0EIF\" title=\"species distribution models\">SDMs</abbr><span>). The creation of a repository of consistently produced&nbsp;</span><abbr id=\"ABBRID0EMF\" title=\"species distribution models\">SDMs</abbr><span>&nbsp;of regional- or national-scale information predicting the potential distribution of invasive plant species could provide information to managers in the prioritisation of invasive species management. Here, we present a novel set of not only habitat suitability models for occurrence for 259 manager requested invasive plant species in the contiguous United States (USA), but also habitat suitability models for abundance (≥ 5% cover) and high abundance (≥ 25% cover). These data provide an update to the Invasive Species Habitat Tool (</span><abbr id=\"ABBRID0EQF\" title=\"Invasive Species Habitat Tool\">INHABIT</abbr><span>; gis.usgs.gov/inhabit). This tool contains information on the majority of invasive plant species in the contiguous USA with sufficient location data for model building.&nbsp;</span><abbr id=\"ABBRID0EUF\" title=\"Invasive Species Habitat Tool\">INHABIT</abbr><span>&nbsp;provides a canonical set of predicted geographic distributions for invasive plants in the contiguous USA that can aid in the search for new populations of invasive plant species and help create watch lists for emerging invaders. As this tool contains information on nearly all of the most problematic invasive plants in the contiguous USA, it helps in prioritising management strategies by showing which plants are already present or abundant in a land management area and which may become present or abundant in the future.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.134842","usgsCitation":"Jarnevich, C.S., Engelstad, P., Williams, D.A., Shadwell, K.S., Reimer, C.J., Henderson, G., Prevey, J.S., and Pearse, I.S., 2024, Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.: NeoBiota, v. 96, p. 261-278, https://doi.org/10.3897/neobiota.96.134842.","productDescription":"18 p.","startPage":"261","endPage":"278","ipdsId":"IP-167257","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.134842","text":"Publisher Index Page"},{"id":464943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                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