{"pageNumber":"82","pageRowStart":"2025","pageSize":"25","recordCount":184617,"records":[{"id":70265930,"text":"70265930 - 2025 - A crustal thermal model of the conterminous U.S. constrained by multiple data sets: A Monte-Carlo approach","interactions":[],"lastModifiedDate":"2025-04-22T15:33:21.230287","indexId":"70265930","displayToPublicDate":"2025-03-28T10:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A crustal thermal model of the conterminous U.S. constrained by multiple data sets: A Monte-Carlo approach","docAbstract":"<p><span>The thermal structure of the continental crust plays a critical role in understanding its elastic and rheologic properties as well as its dynamic processes. Thermal parameter data sets on continental scales have been used to constrain the crustal thermal structure, including both the direct (e.g. temperature, heat flux and heat conductivity measured at the surface) and indirect (e.g. seismically derived Mohorovičić discontinuity (Moho) temperature, geomagnetically derived Curie depth) observations. In this study, we present a new continental scale crustal heat generation model with additional information from seismologically inferred crustal composition. Together with previous direct and indirect thermal parameter data sets in the conterminous United States, we use the new crustal heat generation model to construct a 3-D crustal temperature model under a newly developed Bayesian framework. Specifically, we first derive profiles of crustal heat generation based on an empirical geochemical relationship at 1683 locations where seismologically derived crustal composition information is available. Then for each of these locations, the average heat generation values in the upper, middle and lower crust are combined with other thermal parameters through a Markov Chain Monte-Carlo inversion for a conductive, vertically smooth temperature profile. The results, posterior distributions of temperature profiles, are used to generate a 3-D crustal thermal model with the uncertainties systematically assessed. The new temperature model overall exhibits similar patterns to that from the U.S. Geological Survey National Crustal Model, but also reduces possible biases and the model's dependence on a single thermal parameter.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggaf118","usgsCitation":"Sui, S., Shen, W., and Boyd, O.S., 2025, A crustal thermal model of the conterminous U.S. constrained by multiple data sets: A Monte-Carlo approach: Geophysical Journal International, v. 241, no. 3, p. 1711-1724, https://doi.org/10.1093/gji/ggaf118.","productDescription":"14 p.","startPage":"1711","endPage":"1724","ipdsId":"IP-173069","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggaf118","text":"Publisher Index 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]\n}","volume":"241","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sui, Siyuan","contributorId":353596,"corporation":false,"usgs":false,"family":"Sui","given":"Siyuan","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":934053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Weisen","contributorId":353597,"corporation":false,"usgs":false,"family":"Shen","given":"Weisen","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":934054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":934055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268306,"text":"70268306 - 2025 - Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach","interactions":[],"lastModifiedDate":"2025-06-20T15:18:04.082324","indexId":"70268306","displayToPublicDate":"2025-03-28T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div id=\"abspara0010\" class=\"u-margin-s-bottom\">Robust and reliable models are needed to understand how coastlines will evolve over the coming decades, driven by both natural variability and climate change. This study evaluated how accurately five popular ‘reduced-complexity’ models replicate multi-decadal shoreline change at Narrabeen-Collaroy Beach, a sandy embayment in Sydney, Australia. Measured shoreline positions derived from approximately monthly field surveys were used for 20-year calibration and 20-year validation periods. The models performed similarly on average but with large variability between transects. The set-up of several models was modified to compensate for their sensitivity to imperfect input wave data, and further site-specific improvements were identified. Capturing interannual to decadal-scale variability in cross-shore and longshore dynamics at this site was challenging for all five models. Models appeared to aggregate key processes at this timescale into parameter values rather than representing them directly. This suggests time-varying parameters or changes to model structure may be necessary for decadal-scale simulations.</div></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104738","usgsCitation":"Repina, O., Carvalho, R., Coco, G., Antolínez, J., de Santiago, I., Harley, M., Jaramillo, C., Splinter, K., Vitousek, S., and Woodroffe, C., 2025, Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach: Coastal Engineering, v. 199, 104738, 24 p., https://doi.org/10.1016/j.coastaleng.2025.104738.","productDescription":"104738, 24 p.","ipdsId":"IP-175917","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2025.104738","text":"Publisher Index Page"},{"id":491029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Repina, Oxana","contributorId":357144,"corporation":false,"usgs":false,"family":"Repina","given":"Oxana","affiliations":[{"id":37474,"text":"University of Wollongong","active":true,"usgs":false}],"preferred":false,"id":940758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carvalho, Rafael C.","contributorId":357146,"corporation":false,"usgs":false,"family":"Carvalho","given":"Rafael C.","affiliations":[{"id":85339,"text":"University of Wollongong, University of Newcastle","active":true,"usgs":false}],"preferred":false,"id":940759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coco, Giovanni","contributorId":357148,"corporation":false,"usgs":false,"family":"Coco","given":"Giovanni","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":940760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolínez, Jose","contributorId":357149,"corporation":false,"usgs":false,"family":"Antolínez","given":"Jose","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":940761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Santiago, Iñaki","contributorId":357150,"corporation":false,"usgs":false,"family":"de Santiago","given":"Iñaki","affiliations":[{"id":85342,"text":"AZTI Marine Research","active":true,"usgs":false}],"preferred":false,"id":940762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harley, Mitchell D.","contributorId":357151,"corporation":false,"usgs":false,"family":"Harley","given":"Mitchell D.","affiliations":[{"id":80179,"text":"UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":940763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jaramillo, Camilo","contributorId":357152,"corporation":false,"usgs":false,"family":"Jaramillo","given":"Camilo","affiliations":[{"id":41638,"text":"University of Cantabria","active":true,"usgs":false}],"preferred":false,"id":940764,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Splinter, Kristen D.","contributorId":357153,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen D.","affiliations":[{"id":80179,"text":"UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":940765,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940766,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woodroffe, Colin D.","contributorId":357154,"corporation":false,"usgs":false,"family":"Woodroffe","given":"Colin D.","affiliations":[{"id":37474,"text":"University of Wollongong","active":true,"usgs":false}],"preferred":false,"id":940767,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70265042,"text":"70265042 - 2025 - A generalized framework for inferring river bathymetry from image-derived velocity fields","interactions":[],"lastModifiedDate":"2026-04-01T14:47:45.336764","indexId":"70265042","displayToPublicDate":"2025-03-28T09:22:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"A generalized framework for inferring river bathymetry from image-derived velocity fields","docAbstract":"<p><span>Although established techniques for remote sensing of river bathymetry perform poorly in turbid water, image velocimetry can be effective under these conditions. This study describes a framework for mapping both of these attributes: Depths Inferred from Velocities Estimated by Remote Sensing, or DIVERS. The workflow involves linking image-derived velocities to depth via a flow resistance equation and invoking an optimization algorithm. We generalized an earlier formulation of DIVERS by: (1) using moving aircraft river velocimetry (MARV) to obtain a continuous, spatially extensive velocity field; (2) working within a channel-centered coordinate system; (3) allowing for local optimization of multiple parameters on a per-cross section basis; and (4) introducing a second objective function that can be used when discharge is not known. We also quantified the sensitivity of depth estimates to each parameter and input variable. MARV-based velocity estimates agreed closely with field measurements (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msup is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi><mn is=&quot;true&quot;>2</mn></msup><mo is=&quot;true&quot;>=</mo><mn is=&quot;true&quot;>0.81</mn></math>\"><span class=\"MJX_Assistive_MathML\"><i>R</i><sup>2</sup>=0.81</span></span></span><span>) and the use of DIVERS led to cross-sectional mean depths that were correlated with in situ observations (</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msup is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi><mn is=&quot;true&quot;>2</mn></msup><mo is=&quot;true&quot;>=</mo><mn is=&quot;true&quot;>0.75</mn></math>\"><span class=\"MJX_Assistive_MathML\"><i>R</i><sup>2</sup>=0.75</span></span></span><span>). Errors in the input velocity field had the greatest impact on depth estimates, but the algorithm was not highly sensitive to initial parameter estimates when a known discharge was available to constrain the optimization. The DIVERS framework is predicated upon a number of simplifying assumptions — steady, uniform, one-dimensional flow and a strict, purely local proportionality between depth and velocity — that impose important limitations, but our results suggest that the approach can provide plausible, first-order estimates of river depths.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109732","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2025, A generalized framework for inferring river bathymetry from image-derived velocity fields: Geomorphology, v. 479, 109732, 18 p., https://doi.org/10.1016/j.geomorph.2025.109732.","productDescription":"109732, 18 p.","ipdsId":"IP-166459","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":501923,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70265042/full"},{"id":501925,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70265042/70265042.XML"},{"id":501924,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70265042/images"},{"id":484017,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Nenana","otherGeospatial":"Tanana River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.11226566001395,\n              64.57302966431993\n            ],\n            [\n              -149.11226566001395,\n              64.55114517971049\n            ],\n            [\n              -149.04757845058606,\n              64.55114517971049\n            ],\n            [\n              -149.04757845058606,\n              64.57302966431993\n            ],\n            [\n              -149.11226566001395,\n              64.57302966431993\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"479","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":932398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":932399,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267431,"text":"70267431 - 2025 - Estuarine tidal cycles may preserve thermal refugia as global temperatures increase","interactions":[],"lastModifiedDate":"2025-05-23T16:24:15.426836","indexId":"70267431","displayToPublicDate":"2025-03-28T09:15:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine tidal cycles may preserve thermal refugia as global temperatures increase","docAbstract":"<p><span>Climate change is affecting coastal ecosystems worldwide as water temperatures increase, hydrologic regimes change, and sea levels rise. Consequently, estuaries risk declines in ecosystem functioning due to increasing temperatures and other hydrologic factors. Characterizing and predicting estuarine water temperature are challenging because these systems are highly dynamic. Statistical models have been used to accurately assess air temperature-water temperature relationships in lakes and streams but have not been effectively applied to tidally influenced ecosystems like estuaries. We used 6&nbsp;years of continuous monitoring data from the Nisqually River Delta in Puget Sound, Washington, U.S.A., to parameterize and run a non-linear statistical model and generate spatially explicit model predictions. Our goal was to examine spatiotemporal patterns in estuarine water temperature and thermal refugia given current estimates of climactic change. The performance of the parameterized model was similar to that of non-linear stream temperature models (NSE = 0.76; RMSE = 2.34&nbsp;°C). Scenarios incorporating forecasted high-emission air temperatures through the year 2100 (+ 7&nbsp;°C) predicted a corresponding 3.55 ± 0.63&nbsp;°C increase in average water temperatures; however, moderate and high rates of sea-level rise offset temperature increases by 3–20% and substantially reduced the amount of time temperatures exceeded the thermal stress threshold of 20&nbsp;°C for juvenile salmon. These findings demonstrate how the effects of one climate stressor (sea-level rise) may offset another (temperature increases) to maintain thermal refugia for coldwater fishes. Similar exercises may allow managers to explore mitigation options like the planting of riparian vegetation or modified flooding regimes to further offset rising water temperatures.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01510-7","usgsCitation":"Davis, M.J., Woo, I., and De La Cruz, S.E., 2025, Estuarine tidal cycles may preserve thermal refugia as global temperatures increase: Estuaries and Coasts, v. 48, 90, 19 p., https://doi.org/10.1007/s12237-025-01510-7.","productDescription":"90, 19 p.","ipdsId":"IP-129413","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta, Puget Sound, Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.55330830655157,\n              48.98716401827198\n            ],\n            [\n              -123.55330830655157,\n              47.20224465518157\n            ],\n            [\n              -121.87955279406418,\n              47.20224465518157\n            ],\n            [\n              -121.87955279406418,\n              48.98716401827198\n            ],\n            [\n              -123.55330830655157,\n              48.98716401827198\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273791,"text":"70273791 - 2025 - Pyrethroid insecticide pollution of wetlands reduces amphipod density","interactions":[],"lastModifiedDate":"2026-01-30T16:04:39.956184","indexId":"70273791","displayToPublicDate":"2025-03-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticide pollution of wetlands reduces amphipod density","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Freshwater amphipods play a key role as forage for breeding and migrating waterfowl in wetlands throughout the Prairie Pothole Region (PPR) of North America. Amphipod populations declined in recent decades, but there is a limited understanding of mechanisms for their decline and their uneven distribution across the landscape. Row crop agriculture is abundant in the PPR, but the sensitivity of amphipods and wetland ecosystems to agrochemical pollution has rarely been studied. We investigated relationships among amphipod abundances (specifically,&nbsp;</span><i>Gammarus lacustris</i><span>&nbsp;and&nbsp;</span><i>Hyalella azteca</i><span>), land uses, water quality, and pyrethroid insecticide contamination of wetland sediments. Our study design targeted a large gradient of amphipod abundances and accounted for water quality, hydrology, and habitat metrics that commonly influence amphipods. We found a significant, negative relationship between pyrethroid concentrations and the abundance of the two amphipod species. Pyrethroids were detected at relatively low concentrations (&lt;2.5 ng/g sediment) in 44% of study wetlands and occurred most frequently in intensively cropped watersheds with low vegetative filter strip coverage. Interestingly, wetlands on state and federal wildlife reserves had regular occurrence of pyrethroids, demonstrating the pervasive transport of these compounds and the intensity of agriculture in the PPR. The pyrethroids are likely entering these wetlands through overland transport during rain events or aerial spray drift, and our results show that forest patches and vegetative filter strips may reduce pyrethroid exposure to both wetlands and amphipods.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-025-02863-2","usgsCitation":"Keith, B.R., Larson, D.M., Isaacson, C.W., Anteau, M.J., Fitzpatrick, M.J., and Carleen, J.D., 2025, Pyrethroid insecticide pollution of wetlands reduces amphipod density: Ecotoxicology, v. 34, p. 792-804, https://doi.org/10.1007/s10646-025-02863-2.","productDescription":"13 p.","startPage":"792","endPage":"804","ipdsId":"IP-170634","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.711944961062,\n              69.39512607851276\n            ],\n            [\n              -169.94487740692884,\n              55.30502246489219\n            ],\n            [\n              -109.8070101534554,\n              14.068009981521612\n            ],\n            [\n              -84.25871812289304,\n              16.57082743917816\n            ],\n            [\n              -87.01520994777297,\n              25.945233994551494\n            ],\n            [\n              -79.53831443227689,\n              24.37759645049158\n            ],\n            [\n              -47.797114625426275,\n              48.19321998749109\n            ],\n            [\n              -80.72053982350263,\n              69.39512607851276\n            ],\n            [\n              -151.1634675693529,\n              74.5935968653159\n            ],\n            [\n              -167.711944961062,\n              69.39512607851276\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Breanna R.","contributorId":365790,"corporation":false,"usgs":false,"family":"Keith","given":"Breanna","middleInitial":"R.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaacson, Carl W.","contributorId":365791,"corporation":false,"usgs":false,"family":"Isaacson","given":"Carl","middleInitial":"W.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Megan J.","contributorId":365792,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Megan","middleInitial":"J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":954805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carleen, Jake D.","contributorId":365793,"corporation":false,"usgs":false,"family":"Carleen","given":"Jake","middleInitial":"D.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954806,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268307,"text":"70268307 - 2025 - Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments","interactions":[],"lastModifiedDate":"2025-06-20T14:02:06.25149","indexId":"70268307","displayToPublicDate":"2025-03-28T08:57:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments","docAbstract":"<p><span>Coastal erosion, intensified by sea level rise, poses significant threats to coastal communities in Hawaiʻi and similar island communities. This study projects long-term shoreline change on the Hawaiian Island of O‘ahu using the data-assimilated CoSMoS-COAST shoreline change model. CoSMoS-COAST models four key shoreline processes: (1) Alongshore transport, (2) Recession due to sea level rise, (3) Cross-shore transport due to waves, and (4) Residual processes represented by a linear trend term. This study marks the first application of CoSMoS-COAST for an oceanic equatorial island with narrow beaches and a dynamic wave climate. The model is informed with a novel combination of shoreline data derived from high-resolution imagery from Planet, Sentinel-2, and Landsat satellites, wave-climate hindcasts specific to Hawai‘i, and regional beach-slope surveys. On a dynamic northern Oʻahu beach, the model achieved a root mean square error of 9.4&nbsp;m between observations and model output. CoSMoS-COAST predicts that 81% of O‘ahu’s sandy beach coastline could experience beach loss by 2100; with 39.8% of this loss happening by 2030. This represents an increase, 43.3%, in net landward shoreline change compared to previous erosion forecasts, for 0.3&nbsp;m of sea level rise (2050). Additionally, dynamic processes such as cross-shore equilibrium processes and alongshore sediment transport, play a large contribution to gross shoreline change within the next decade, particularly on O ‘ahu’s north and west shores. In the long term, we find that recession due to sea level rise and residual processes dominate, but dynamic, wave-driven processes (longshore and cross-shore transport) still account for 34% of shoreline change between present and 2100. We assert dynamic, wave-driven processes are a crucial addition for accurate modeling of island sandy beach environments. These findings have implications for O‘ahu’s coastal planning and development, suggesting updates to shoreline policies that rely upon erosion forecasting, and highlights the importance of incorporating wave and alongshore transport in erosion models for other Pacific islands.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-95074-y","usgsCitation":"Moskvichev, R., Mikkelsen, A., Anderson, T., Vitousek, S., Joel Nicolow, and Fletcher, C., 2025, Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments: Scientific Reports, v. 15, 10794, 23 p., https://doi.org/10.1038/s41598-025-95074-y.","productDescription":"10794, 23 p.","ipdsId":"IP-176072","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-95074-y","text":"Publisher Index Page"},{"id":491019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"O'ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.97415529522343,\n              21.740805505081653\n            ],\n            [\n              -158.15139260242358,\n              21.600579083024826\n            ],\n            [\n              -158.2903083296884,\n              21.599465629948895\n            ],\n            [\n              -158.24240635476954,\n              21.479162346928234\n            ],\n            [\n              -158.11187347311537,\n              21.27955194162557\n            ],\n            [\n              -157.87475869726666,\n              21.277320121849456\n            ],\n            [\n              -157.78853514241246,\n              21.229327812614713\n            ],\n            [\n              -157.6687802051152,\n              21.253883970723265\n            ],\n            [\n              -157.62447087831504,\n              21.30744683110042\n            ],\n            [\n              -157.70231158755843,\n              21.41228417679669\n            ],\n            [\n              -157.71069443316924,\n              21.478047962139442\n            ],\n            [\n              -157.79811553739634,\n              21.456873031193922\n            ],\n            [\n              -157.82446162360165,\n              21.49476283830066\n            ],\n            [\n              -157.8172763273639,\n              21.53152880555119\n            ],\n            [\n              -157.97415529522343,\n              21.740805505081653\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Moskvichev, Richelle","contributorId":357155,"corporation":false,"usgs":false,"family":"Moskvichev","given":"Richelle","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikkelsen, Anna","contributorId":357158,"corporation":false,"usgs":false,"family":"Mikkelsen","given":"Anna","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Tiffany","contributorId":357161,"corporation":false,"usgs":false,"family":"Anderson","given":"Tiffany","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joel Nicolow","contributorId":357164,"corporation":false,"usgs":false,"family":"Joel Nicolow","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fletcher, Charles","contributorId":357167,"corporation":false,"usgs":false,"family":"Fletcher","given":"Charles","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940773,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","interactions":[{"subject":{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","indexId":"70265535","publicationYear":"2025","noYear":false,"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model"},"predicate":"SUPERSEDED_BY","object":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"id":1}],"supersededBy":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"lastModifiedDate":"2025-11-24T17:09:06.905617","indexId":"70265535","displayToPublicDate":"2025-03-28T08:41:30","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":20900,"text":"EGUSphere","active":true,"publicationSubtype":{"id":32}},"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","docAbstract":"<p><span>Despite their ubiquity and importance as freshwater habitat, small headwater streams are under monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position. A person then annotates pairs of images, in each case indicating which image has more apparent streamflow or indicating equal flow if no difference is discernible. A deep learning modelling framework called Streamflow Rank Estimation (SRE) is then trained on the annotated image pairs and applied to rank all images from highest to lowest apparent streamflow. From this result a relative hydrograph can be derived. We found that our modelled relative hydrograph dynamics matched the observed hydrograph dynamics well for 11 cameras at 8 streamflow sites in western Massachusetts. Higher performance was observed during the annotation period (median Kendall’s Tau rank correlation 0.75 with range 0.6–0.83) than after it (median Kendall’s Tau 0.59 with range 0.34 – 0.74). We found that annotation performance was generally consistent across the eleven camera sites and two individual annotators and was positively correlated with streamflow variability at a site. A scaling simulation determined that model performance improvements were limited after 1,000 annotation pairs. Our model’s estimates of relative flow, while not equivalent to absolute flow, may still be useful for many applications, such as ecological modelling and calculating event-based hydrological statistics (e.g., the number of out-of-bank floods). We anticipate this method will be a valuable tool to extend existing stream monitoring networks and provide new insights on dynamic headwater systems.</span></p>","language":"English","publisher":"EGUSphere","doi":"10.5194/egusphere-2025-1186","usgsCitation":"Goodling, P.J., Fair, J.H., Gupta, A., Walker, J.D., Dubreuil, T., Hayden, M.J., and Letcher, B., 2025, A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model: EGUSphere, preprint posted March 28, 2025, https://doi.org/10.5194/egusphere-2025-1186.","productDescription":"26 p.","ipdsId":"IP-171724","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488204,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/egusphere-2025-1186","text":"Publisher Index Page"},{"id":484489,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":932972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jeffrey D. 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":244114,"corporation":false,"usgs":false,"family":"Walker","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":48839,"text":"Walker Environmental Research LLC","active":true,"usgs":false}],"preferred":false,"id":932973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265533,"text":"70265533 - 2025 - Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2025-04-15T13:17:57.197981","indexId":"70265533","displayToPublicDate":"2025-03-28T08:12:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","docAbstract":"Little is known about the local plumbing systems that fuel Yellowstone’s famous hot springs, geysers and mud pots. A multi-method, multi-scale geophysical investigation was carried out in the Obsidian Pool Thermal Area (OPTA) to: (i) delineate the lateral extent of the hydrothermal area and associated surface features; (ii) estimate the dimensions of the upflow zone and identify its main controlling structures; (iii) assess fluids circulation pathways from depth to surface. Ground and airborne geophysical data were acquired to connect local and regional scales, from shallow to large depths. Maps of surface electrical resistivity show a strong correlation with hydrothermal features. At in-termediate depths, electrical resistivity permits delineating the upper limit of the upflow zone, while Poisson’s ratio highlights differences in subsurface fluid content. Combining these results with surface observations and topographic information, we speculate that differential mixing of hydrothermal and fresh water could explain the wide diversity of features observed at OPTA. Low electrical resistivity observed at large depths also suggest that a vast upflow zone, controlled by rhyolite flows and conjugate faults, underlies the OPTA. We speculate that hydrothermal fluids rise along fractures and reach the surface in topographic lows to form hydrothermal features. Our results show that synoptic, multi-scale geophysical measurements provide a roadmap for understanding where and how geologic heterogeneity, topography, fluid-gas separation, and the mixing of thermal and meteoric waters conspire to produce the wide variety of Yellowstone’s renowned hydrothermal features.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029839","usgsCitation":"Pasquet, S., Holbrook, W.S., Carr, B., Terry, N., Briggs, M.A., Finn, C., Bedrosian, P.A., Auken, E., Pedersen, J., Maurya, P.K., and Sims, K., 2025, Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA: JGR Solid Earth, v. 130, no. 4, e2024JB029839, 20 p., https://doi.org/10.1029/2024JB029839.","productDescription":"e2024JB029839, 20 p.","ipdsId":"IP-161584","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488238,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb029839","text":"Publisher Index Page"},{"id":484500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.42248124611399,\n              43.840789120104006\n            ],\n            [\n              -109.42248124611399,\n              44.99074567225114\n            ],\n            [\n              -111.04762312859151,\n              44.99074567225114\n            ],\n            [\n              -111.04762312859151,\n              43.840789120104006\n            ],\n            [\n              -109.42248124611399,\n              43.840789120104006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasquet, Sylvain","contributorId":175484,"corporation":false,"usgs":false,"family":"Pasquet","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":932959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, W. Steven","contributorId":175481,"corporation":false,"usgs":false,"family":"Holbrook","given":"W.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":932960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Bradley J.","contributorId":353107,"corporation":false,"usgs":false,"family":"Carr","given":"Bradley J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":932961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":932962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":210069,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":932963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":932965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Auken, Esben","contributorId":193991,"corporation":false,"usgs":false,"family":"Auken","given":"Esben","email":"","affiliations":[],"preferred":false,"id":932966,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pedersen, Jesper","contributorId":353109,"corporation":false,"usgs":false,"family":"Pedersen","given":"Jesper","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":932967,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurya, Pradip Kumar","contributorId":214855,"corporation":false,"usgs":false,"family":"Maurya","given":"Pradip","email":"","middleInitial":"Kumar","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":932968,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":932969,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70265839,"text":"70265839 - 2025 - Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake","interactions":[],"lastModifiedDate":"2025-04-18T13:28:44.799684","indexId":"70265839","displayToPublicDate":"2025-03-28T07:55:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake","docAbstract":"<p><span>Mercury (Hg) contamination of aquatic food webs is controlled in part by the formation and accumulation of toxic and bioaccumulative methylmercury (MeHg). MeHg production is mediated by metabolically diverse microorganisms carrying the </span><i>hgcAB</i><span>&nbsp;gene pair, while the demethylation reaction is mediated by several biotic and abiotic processes. However, the relative importance of these two processes on MeHg accumulation and the environmental factors that influence them are poorly characterized, especially in eutrophic environments. In this study, both Hg methylation and MeHg demethylation in a eutrophic freshwater lake were linked to ambient MeHg concentrations and&nbsp;</span><i>hgcA</i><span>&nbsp;abundance and expression. High methylation rate potentials indicated&nbsp;</span><i>in situ</i><span>&nbsp;MeHg formation was a key source of MeHg to the water column, driven by high&nbsp;</span><i>hgcA</i><span>&nbsp;abundance and transcription. Molybdate treatment decreased methylation rate potentials, highlighting the importance of sulfate reduction in driving MeHg formation. Sulfate-reducing bacteria accounted for over 50% of the&nbsp;</span><i>hgcA</i><span>&nbsp;gene transcription, despite representing less than 10% of the&nbsp;</span><i>hgcA</i><span>-carrying microbial community. An&nbsp;</span><i>arsR</i><span>-like transcriptional regulator preceded many&nbsp;</span><i>hgcA</i><span>&nbsp;sequences; these were transcriptionally active and linked to lower&nbsp;</span><i>hgcA</i><span>&nbsp;expression. Overall, this study elucidates the microbial and biogeochemical processes that influence the&nbsp;</span><i>in situ</i><span>&nbsp;formation of MeHg in understudied eutrophic freshwater environments.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12759","collaboration":"University of Wisconsin, University of California-Davis","usgsCitation":"Peterson, B.D., Janssen, S., Poulin, B., Ogorek, J.M., White, A., McDaniel, E., Marick, R., Armstrong, G.J., Scheel, N., Tate, M., Krabbenhoft, D.P., and McMahon, K.D., 2025, Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake: Environmental Science and Technology, v. 59, no. 13, p. 6799-6811, https://doi.org/10.1021/acs.est.4c12759.","productDescription":"13 p.","startPage":"6799","endPage":"6811","ipdsId":"IP-173108","costCenters":[{"id":37947,"text":"Upper Midwest Water Science 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,{"id":70266766,"text":"70266766 - 2025 - Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","interactions":[],"lastModifiedDate":"2025-05-29T13:10:29.985307","indexId":"70266766","displayToPublicDate":"2025-03-28T07:46:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","docAbstract":"Microplastics, per- and polyfluoroalkyl substances (PFAS), antibiotic resistance genes (ARGs), pharmaceuticals and personal care products (PPCPs), and pesticides may lead to unintended environmental contamination through many pathways in multiple matrices. This statewide, multi-matrix study of contaminants of global concern (CGCs) in agricultural streams across Iowa (United States) is the first to examine multiple CGCs in water, bed sediment, and fish to understand their occurrence in small streams located in regions of intense agriculture activity. Iowa plays a pivotal role in agriculture, with more than 85% of Iowa’s landscape devoted to agriculture making it an ideal location for determining the prevalence of CGCs to provide critical baseline exposure data. Fifteen sites were sampled across a range of predominant land uses (e.g., poultry, swine); all sites had detections of microplastics in all matrices. Concentrations of PFAS varied but were detected in water and sediment; all fish had detections of perfluorooctanesulfonate (PFOS), a type of PFAS. More than 50% of water and bed sediment samples had detections of ARGs. The most frequently detected PPCP was metformin. No sites had a cumulative exposure activity ratio greater than 1.0 for chemical exposures; 13 sites were above the 0.001 precautionary threshold. Toxicity quotients calculated using Aquatic Life Benchmarks were below the 0.1 moderate risk threshold for chemical exposures for all but one site. For fish, all sites exceeded the moderate and high-risk thresholds proposed for microplastic particles for food dilution (both chronic and acute exposures) and all sites exceeded the microplastic moderate threshold proposed for chronic tissue translocation, and two sites exceeded the threshold for acute tissue translocation.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D4EM00753K","usgsCitation":"Meppelink, S.M., Kolpin, D., LeFevre, G., Cwiertny, D., Givens, C.E., Green, L., Hubbard, L.E., Iwanowicz, L.R., Lane, R.F., Mianecki, A., O’Shea, P.S., Raines, C.D., Scott, J., Thompson, D., Wilson, M.C., and Gray, J.L., 2025, Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams: Environmental Science: Processes & Impacts, v. 27, p. 1401-1422, https://doi.org/10.1039/D4EM00753K.","productDescription":"22 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,{"id":70264905,"text":"fs20253012 - 2025 - A partnership between the USGS and the Klamath Tribes to apply structured decision making for chronic wasting disease management","interactions":[],"lastModifiedDate":"2025-08-07T20:25:45.598265","indexId":"fs20253012","displayToPublicDate":"2025-03-27T14:00:00","publicationYear":"2025","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":"2025-3012","displayTitle":"A Partnership Between the USGS and the Klamath Tribes to Apply Structured Decision Making for Chronic Wasting Disease Management","title":"A partnership between the USGS and the Klamath Tribes to apply structured decision making for chronic wasting disease management","docAbstract":"<p><strong>Project Overview:</strong> The Klamath Tribes (TKT) are the Klamath, Modoc, and Yahooskin Paiute peoples, and are the first peoples of the land, having lived in ancestral lands of Oregon and California since time immemorial. Members of TKT have rights to hunt, fish, trap, and gather, including the harvest of mule deer (<i>Odocoileus hemionus</i>) and elk (<i>Cervus canadensis nelsoni</i>) within the 1.19 million acres of their Reserved Treaty Rights Area.</p><p>Anthropogenic changes threaten the well-being of mule deer and elk and of the Tribes that rely on them. Today, these species are a primary protein source for TKT. They are traded within TKT and among other Tribes and provide materials for cultural and sacred items such as regalia. However, mule deer numbers have been declining across the western states for the past several decades because of multiple stressors, including persistent and frequent drought and wildfires, habitat loss and degradation, vehicle mortality, and increasing barriers to migratory movements between summer and winter ranges. The migratory movements of mule deer, which allow deer to access the best available seasonal habitats, put them at risk of another potential stressor—infection with chronic wasting disease (CWD). Chronic wasting disease is a fatal prion disease of deer that has been detected in 36 U.S. states. It was detected in free-ranging mule deer in northern Idaho in 2021, prompting the Tribes to initiate a planning process for CWD surveillance, prevention, and response measures to preserve and protect the deer and elk within the Reserved Treaty Rights Area.</p><p>In 2023, the Klamath Tribes Natural Resources Department began to develop their CWD plan by incorporating preliminary input provided by the Klamath Indian Game Commission (KIGC) and working with scientists from the U.S. Geological Survey (USGS). This collaborative effort includes the application of structured decision making and the development of mathematical models to analyze potential CWD management strategies. The result will be a transparent assessment that incorporates TKT values throughout the process and can inform place-based management of the cultural, natural, and physical resources upon which the Tribes depend. In addition, this process may provide opportunities for broader coordination by natural resource management agencies to work together to ensure the long-term health and sustainability of deer and elk populations within the Reserved Treaty Rights Area and throughout the state of Oregon.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253012","collaboration":"Prepared in Cooperation with the Klamath Tribes Natural Resources Department","usgsCitation":"McEachran, M.C., Guntly-Yancey, K.M., Berl, R.E.W., Gentry, D., Runge, M.C., White, C., and Cook, J.D., 2025, A partnership between the USGS and the Klamath Tribes to apply structured decision making for chronic wasting disease management: U.S. Geological Survey Fact Sheet 2025–3012, 4 p., https://doi.org/10.3133/fs20253012.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169589","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493738,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118503.htm","linkFileType":{"id":5,"text":"html"}},{"id":483890,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3012/fs20253012.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3012 XML"},{"id":483888,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3012/fs20253012.pdf","text":"Report","size":"12.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3012 PDF"},{"id":483891,"rank":5,"type":{"id":34,"text":"Image 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PSC"},"publishedDate":"2025-03-27","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McEachran, Margaret C. 0000-0002-8390-451X","orcid":"https://orcid.org/0000-0002-8390-451X","contributorId":346535,"corporation":false,"usgs":true,"family":"McEachran","given":"Margaret C.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntly-Yancey, Katie M. katie.guntly@klamathtribes.com","contributorId":352760,"corporation":false,"usgs":false,"family":"Guntly-Yancey","given":"Katie M.","email":"katie.guntly@klamathtribes.com","affiliations":[],"preferred":true,"id":932116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berl, Richard Eugene Waggaman 0000-0002-4154-1319","orcid":"https://orcid.org/0000-0002-4154-1319","contributorId":336851,"corporation":false,"usgs":true,"family":"Berl","given":"Richard","email":"","middleInitial":"Eugene Waggaman","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gentry, Donald donald.gentry@klamathtribes.com","contributorId":352765,"corporation":false,"usgs":false,"family":"Gentry","given":"Donald","email":"donald.gentry@klamathtribes.com","affiliations":[],"preferred":true,"id":932117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Carl carl.white@klamathtribes.com","contributorId":352763,"corporation":false,"usgs":false,"family":"White","given":"Carl","email":"carl.white@klamathtribes.com","affiliations":[],"preferred":true,"id":932115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264758,"text":"sir20245110 - 2025 - A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21","interactions":[],"lastModifiedDate":"2025-08-07T20:28:08.885943","indexId":"sir20245110","displayToPublicDate":"2025-03-27T11:37:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5110","displayTitle":"A Trend Analysis and Model Comparison of Total Phosphorus Concentrations and Loads in the Boise River near Parma, Southwestern Idaho, Water Years 2003–21","title":"A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21","docAbstract":"<p>Total phosphorus (TP) concentrations and loads in the Boise River near Parma, Idaho, were examined to identify changes by month over a 19-year period from water year 2003 through water year 2021 and to evaluate the performance of three common water-quality models. Mean annual TP concentrations and loads were estimated to have reduced by approximately 60 percent over the study period. Mean annual TP concentrations were reduced from 0.42 milligrams per liter in 2003 to 0.18 milligrams per liter in 2021. Mean annual TP loads were reduced from 816 kilograms per day in 2003 to 302 kilograms per day in 2021. Mean annual concentrations and loads reduced by approximately 3 percent per year with the largest changes occurring in the non-irrigation season of October through April. The TP load remained highest in May across the model period while peak concentration shifted from January to March.</p><p>High-frequency TP data collected with an automated sampler every 49 hours enabled detailed model performance evaluation of the Load Estimator (LOADEST), Weighted Regressions on Time, Discharge, and Season (WRTDS), and WRTDS method with Kalman filtering (WRTDS_K) water-quality models generated with near-monthly data. All three models were generally able to reproduce the observed concentrations, with the largest errors occurring in the spring when observed concentrations were most variable. Annual TP loads varied by up to 27 percent, or approximately 128,000 kilograms, between the three models calibrated on monthly data. In this system with highly variable concentrations, we note that performance metrics for WRTDS_K based on monthly calibration data masked serious errors that were only revealed by comparing results against higher frequency (49-hour) autosampler data. This emphasizes the value of high frequency validation data to quantify uncertainty in water-quality models when applied to systems where concentrations change rapidly. Lastly, we identify that hydraulic routing may be a valuable addition to discharge, season, and time in water-quality modeling for systems with significant human intervention in natural hydro-biogeochemical processes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245110","collaboration":"Prepared in cooperation with the City of Boise","programNote":"National Water Quality Program","usgsCitation":"King, T.V., and Yoder, A.M., 2025, A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21: U.S. Geological Survey Scientific Investigations Report 2024–5110, 41 p., https://doi.org/10.3133/sir20245110.","productDescription":"Report: vi, 41p.; Data Release","onlineOnly":"Y","ipdsId":"IP-140444","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":493739,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118504.htm","linkFileType":{"id":5,"text":"html"}},{"id":483669,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.XML"},{"id":483668,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5110/images"},{"id":483667,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98DMTAN","text":"USGS data release","description":"USGS data release","linkHelpText":"Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021"},{"id":483666,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245110/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5110"},{"id":483665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5110"},{"id":483664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5110/coverthb.jpg"}],"country":"United States","state":"Idaho","city":"Parma","otherGeospatial":"Boise River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.25,\n              44\n            ],\n            [\n              -117.25,\n              43\n            ],\n            [\n              -115.75,\n              43\n            ],\n            [\n              -115.75,\n              44\n            ],\n            [\n              -117.25,\n              44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702-4250</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Previous Investigations</li><li>Datasets</li><li>Trend Analysis of Discharge and Total Phosphorus</li><li>Water-Quality Model Comparison</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2025-03-27","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":352514,"corporation":false,"usgs":false,"family":"King","given":"Tyler V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":931550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoder, Alysa M. 0000-0002-3683-6729","orcid":"https://orcid.org/0000-0002-3683-6729","contributorId":352515,"corporation":false,"usgs":false,"family":"Yoder","given":"Alysa M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":931551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265009,"text":"ofr20211030U - 2025 - System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor","interactions":[{"subject":{"id":70265009,"text":"ofr20211030U - 2025 - System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor","indexId":"ofr20211030U","publicationYear":"2025","noYear":false,"chapter":"U","displayTitle":"System Characterization Report on Resourcesat-2A Linear Imaging Self Scanning-4 Sensor","title":"System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor"},"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":"2025-03-28T13:40:14.359635","indexId":"ofr20211030U","displayToPublicDate":"2025-03-27T11:18:33","publicationYear":"2025","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":"U","displayTitle":"System Characterization Report on Resourcesat-2A Linear Imaging Self Scanning-4 Sensor","title":"System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>This report documents the system characterization of the Indian Space Research Organisation Resourcesat-2A Linear Imaging Self Scanning-4 (LISS–4) sensor. It is part of a series of system characterization reports produced by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports describe the methodology and procedures used 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>Resourcesat-2A was launched in 2016 on the Polar Satellite Launch Vehicle-C36; it is identical to Resourcesat-2, and together, they decrease imaging revisit time from 5 days to 2–3 days, providing data continuity and improved temporal resolution. Resouresat-2 and 2A carry the Advanced Wide Field Sensor, Linear Imaging Self Scanning-3, and LISS–4 medium-resolution imaging sensors, continuing the legacy of the Indian Space Research Organisation’s Indian Remote Sensing-1C/1D/P3 satellite programs. More information about the Indian Space Research Organisation’s satellites and sensors is available through the Joint Agency Commercial Imagery Evaluation Earth Observing Satellites Online Compendium at <a href=\"https://calval.cr.usgs.gov/apps/compendium/\" data-mce-href=\"https://calval.cr.usgs.gov/apps/compendium/\">https://calval.cr.usgs.gov/apps/compendium/</a> and from the manufacturer at <a href=\"https://www.isro.gov.in/\" data-mce-href=\"https://www.isro.gov.in/\">https://www.isro.gov.in/</a>.</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team assessed the geometric, radiometric, and spatial performances of the Resourcesat-2A LISS–4 sensor. Geometric performance is divided into the interior geometric performance of band-to-band registration and the exterior geometric performance of geolocation accuracy. The interior geometric performance had mean offsets in the range of −0.118 to 0.024 pixel in easting and −0.053 to 0.022 pixel in northing with root mean square error values from 0.067 to 0.230 pixel in easting and from 0.087 to 0.2 pixel in northing. The exterior geometric performance had offsets in the range of 2.55 to 7.85 meters (m) in easting and −6.15 to 11.15 m in northing with root mean square error values in the range of 2.6 to 8.2 m in easting and 6.35 to 11.8 m in northing compared to the U.S. Department of Agriculture National Agriculture Imagery Program and WorldView-3 orthoimages. The measured radiometric performance had offsets from 0.003 to 0.024 and slopes from 0.736 to 0.952, and spatial performance was in the range of 1.633 to 1.903 pixels for the full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.0529 to 0.0952.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030U","usgsCitation":"Shrestha, M., Sampath, A., Kim, M., Park, S., and Clauson, J., 2025, System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor, chap. U <em>of</em> Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 16 p., https://doi.org/10.3133/ofr20211030U.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170098","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":483933,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/u/coverthb.jpg"},{"id":483934,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/u/ofr20211030u.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030-U"},{"id":483935,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/u/ofr20211030u.XML"},{"id":483936,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/u/images/"},{"id":483938,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030U/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>System Description</li><li>Procedures</li><li>Measurements</li><li>Analysis</li><li>Summary and Conclusions</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-27","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Mahesh 0000-0002-8368-6399 mshrestha@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-8368-6399","contributorId":259303,"corporation":false,"usgs":false,"family":"Shrestha","given":"Mahesh","email":"mshrestha@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":932245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":932240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Minsu 0000-0003-4472-0926 minsukim@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":216429,"corporation":false,"usgs":true,"family":"Kim","given":"Minsu","email":"minsukim@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":932246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Park, Seonkyung 0000-0003-3203-1998","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":223182,"corporation":false,"usgs":true,"family":"Park","given":"Seonkyung","email":"","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":932247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clauson, Jeffrey 0000-0003-3406-4988","orcid":"https://orcid.org/0000-0003-3406-4988","contributorId":352867,"corporation":false,"usgs":false,"family":"Clauson","given":"Jeffrey","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":932248,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70267761,"text":"70267761 - 2025 - Consistent individual differences and plasticity in migration behaviour of three North American ungulates","interactions":[],"lastModifiedDate":"2025-05-30T15:32:36.039941","indexId":"70267761","displayToPublicDate":"2025-03-27T10:29:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Consistent individual differences and plasticity in migration behaviour of three North American ungulates","docAbstract":"<p><span>Migratory herbivores often time spring migration to coincide with the green-up of plants. When the timing of green-up changes across years, herbivores can respond directly and be plastic to changing conditions or populations may adapt via inherent differences among individuals that may allow for an evolutionary response. We quantified plasticity and individual variation in the timing of spring migration and selection for high-quality forage as a function of the timing of spring green-up using behavioural reaction norms for three North American ungulate species. The timing of arrival to summer range (but not departure from winter range) was plastic to the timing of green-up, and both arrival and departure timing were repeatable. Our results suggest that herbivores synchronise migration with the timing of green-up by adjusting the pace of migration and may be buffered against change via individual differences. Quantifying plasticity and differences in responses represents a crucial step to elucidating the fate of species in a changing world.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70101","usgsCitation":"Laforge, M., Vander Wal, E., Webber, Q., Geremia, C., Kauffman, M., McWhirter, D.E., Middleton, A., Mong, T., Monteith, K., Ortega, A.C., Sawyer, H., and Merkle, J., 2025, Consistent individual differences and plasticity in migration behaviour of three North American ungulates, v. 28, no. 3, e70101, 10 p., https://doi.org/10.1111/ele.70101.","productDescription":"e70101, 10 p.","ipdsId":"IP-167783","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490641,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ele.70101","text":"External Repository"},{"id":489263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.19568552814388,\n              45.420902074781026\n            ],\n            [\n              -111.19568552814388,\n              40.922054575961994\n            ],\n            [\n              -107.3832411048657,\n              40.922054575961994\n            ],\n            [\n              -107.3832411048657,\n              45.420902074781026\n            ],\n            [\n              -111.19568552814388,\n              45.420902074781026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laforge, Michel P.","contributorId":356108,"corporation":false,"usgs":false,"family":"Laforge","given":"Michel P.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":938757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vander Wal, Eric","contributorId":355688,"corporation":false,"usgs":false,"family":"Vander Wal","given":"Eric","affiliations":[{"id":84800,"text":"Memorial University of Newfoundland and Labrador, St. John’s NL, Canada","active":true,"usgs":false}],"preferred":false,"id":938758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, Quinn M.R.","contributorId":356109,"corporation":false,"usgs":false,"family":"Webber","given":"Quinn M.R.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":938759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":938760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McWhirter, Douglas E.","contributorId":264424,"corporation":false,"usgs":false,"family":"McWhirter","given":"Douglas","email":"","middleInitial":"E.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":938762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middleton, Arthur","contributorId":288504,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":938763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mong, Tony W.","contributorId":287998,"corporation":false,"usgs":false,"family":"Mong","given":"Tony W.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":938764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Monteith, Kevin L.","contributorId":287801,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":938765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ortega, Anna C.","contributorId":280169,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":938766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sawyer, Hall","contributorId":287880,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":61660,"text":"Western Ecosystems Technology, Inc., Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":938767,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Merkle, Jerod A.","contributorId":287300,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":938768,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70265064,"text":"70265064 - 2025 - Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","interactions":[],"lastModifiedDate":"2025-04-01T15:10:02.53114","indexId":"70265064","displayToPublicDate":"2025-03-27T10:04:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","docAbstract":"<p><span>Reduction in point sources of nitrogen has led to improvement in water quality of the Long Island Sound (LIS) since 2000, but changes in nonpoint sources are less clear. A significant yet poorly quantified nonpoint nitrogen source is the forested landscape. Because a large proportion of the LIS basin is forested, even small areal inputs from the forested landscape have a large cumulative effect on nitrogen loading to LIS. Atmospheric nitrogen deposition, the primary source of nitrogen to forested landscapes in LIS basin, has been declining for several decades. However, nitrogen export in streams does not necessarily mirror nitrogen deposition. To assess forest nitrogen export to LIS, we estimated annual average concentrations and fluxes of nitrate in 17 forested watersheds in and near the LIS basin. Average flow-normalized nitrate-nitrogen concentrations ranged from less than 0.05–0.43&nbsp;mg per liter among all sites; annual flow-normalized yields ranged from 0.45 to 4.3&nbsp;kg per hectare. Flow-normalized annual average concentrations and yields of nitrate between water years 1991–2021 did not monotonically increase or decrease at most watersheds. Where determined, the other major N species generally had comparable magnitude and trends. Based on the watersheds analyzed in this study, forested areas are not responding uniformly to the continued decline of atmospheric nitrogen deposition. The variability among sites may indicate that local-scale factors exert substantial influence over the magnitude and trends in nitrogen exports. One watershed that had increasing development showed an increasing trend in nitrate, but not in dissolved organic nitrogen.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008489","usgsCitation":"Spaetzel, A.B., Shanley, J.B., DeSimone, L.A., and Mullaney, J., 2025, Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound: JGR Biogeosciences, v. 130, no. 4, e2024JG008489, 18 p., https://doi.org/10.1029/2024JG008489.","productDescription":"e2024JG008489, 18 p.","ipdsId":"IP-154905","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":488666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008489","text":"Publisher Index Page"},{"id":484067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.28768451934559,\n              45.13511639993237\n            ],\n            [\n              -75.10160526272159,\n              44.91381753996643\n            ],\n            [\n              -74.79160802274902,\n              41.44157777621251\n            ],\n            [\n              -73.57410086622542,\n              40.77932738343219\n            ],\n            [\n              -71.39984137658877,\n              41.12239972907295\n            ],\n            [\n              -71.28768451934559,\n              45.13511639993237\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265062,"text":"70265062 - 2025 - Reconstructing relative abundance indices for Atlantic sturgeon using hierarchical ecological models","interactions":[],"lastModifiedDate":"2025-05-12T15:42:38.797222","indexId":"70265062","displayToPublicDate":"2025-03-27T09:34:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing relative abundance indices for Atlantic sturgeon using hierarchical ecological models","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">The Atlantic Sturgeon<span>&nbsp;</span><i>Acipenser oxyrinchus</i><span>&nbsp;</span>is a wide-ranging, long-lived diadromous fish that is endangered in most of its range. Our objective was to develop and apply long-term, detection-corrected indices of relative abundance for juvenile and adult Atlantic Sturgeon in the Hudson River, New York, United States, to support population monitoring and stock assessment.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We used long-term gill-net catches to estimate relative abundances of juvenile and adult Atlantic Sturgeon while accounting for imperfect detection within an<span>&nbsp;</span><i>N-</i>mixture modeling framework. We validated the model framework using a simulation–estimation framework based on mean parameter estimates from the adult Atlantic Sturgeon relative abundance index.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Simulation testing indicated that absolute abundance estimates may be biased low due to poor characterization of detection probabilities. However, model estimates of relative abundance tracked simulated abundance trends well. Juvenile relative abundance estimates followed similar trends as raw gill-net catches but were less variable among years when corrected for detection probability. Relative abundance of juveniles increased from 2004 to 2015 prior to declining through 2022, with little evidence for change between the start and end of the survey. Detection-corrected indices for adult sturgeon indicated a consistent increase in relative abundance that was not readily apparent in raw catch indices.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Detection-corrected catch indices can provide improved characterization of Atlantic Sturgeon relative abundance dynamics over raw gill-net catches through use of<span>&nbsp;</span><i>N-</i>mixture models. The approach has broad applicability to data types that are commonly collected for understanding population trends in stock assessment. Estimation of absolute abundance and other population demographics germane to management would benefit from alternative or auxiliary data collected through approaches such as side-scan sonar or acoustic telemetry, which are increasingly common for monitoring sturgeon populations.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnae005","usgsCitation":"Stich, D.S., Fox, D., Higgs, A., Kazyak, D.C., Pendleton, R., and Sethi, S.A., 2025, Reconstructing relative abundance indices for Atlantic sturgeon using hierarchical ecological models: Transactions of the American Fisheries Society, v. 154, no. 2, p. 134-142, https://doi.org/10.1093/tafafs/vnae005.","productDescription":"9 p.","startPage":"134","endPage":"142","ipdsId":"IP-172614","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490114,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnae005","text":"Publisher Index Page"},{"id":484062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.91330947473485,\n              40.66606917951091\n            ],\n            [\n              -73.72942268426407,\n              41.17642727450354\n            ],\n            [\n              -73.36165681223804,\n              43.183479467941055\n            ],\n            [\n              -76.13764009146252,\n              43.64841032319694\n            ],\n            [\n              -76.6716190407147,\n              43.304550466073295\n            ],\n            [\n              -76.16239408248754,\n              42.886227560392854\n            ],\n            [\n              -74.96712994442633,\n              42.70198813130807\n            ],\n            [\n              -74.22450960551923,\n              41.33593439003246\n            ],\n            [\n              -74.15378391687688,\n              40.71969364472585\n            ],\n            [\n              -73.91330947473485,\n              40.66606917951091\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"154","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":280276,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":33660,"text":"SUNY Oneonta","active":true,"usgs":false}],"preferred":false,"id":932441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":932442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higgs, Amanda","contributorId":225402,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":932443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pendleton, Richard","contributorId":348720,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":932445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sethi, Suresh A","contributorId":171843,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A","affiliations":[{"id":26952,"text":"U.S. Fish and Wildlife Service, Anchorage, AK; Fisheries, Aquatic Science and Technology Lab, Alaska Pacific University, Anchorage, AK and  U.S. Geological Survey New York Cooperative Fish and Wildlife Research Unit, Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":932446,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265232,"text":"70265232 - 2025 - Too much and not enough data: Challenges and solutions for generating information in freshwater research and monitoring","interactions":[],"lastModifiedDate":"2025-04-02T14:39:00.889559","indexId":"70265232","displayToPublicDate":"2025-03-27T09:27:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Too much and not enough data: Challenges and solutions for generating information in freshwater research and monitoring","docAbstract":"<p><span>Evaluating progress toward achieving freshwater conservation and sustainability goals requires transforming diverse types of data into useful information for scientists, managers, and other interest groups. Despite substantial increases in the volume of freshwater data collected worldwide, many regions and ecosystems still lack sufficient data collection and/or data access. We illustrate how these data challenges result from a diverse set of underlying mechanisms and propose solutions that can be applied by individuals or organizations. We discuss creative approaches to address data scarcity, including the use of community science, remote-sensing, environmental sensors, and legacy datasets. We highlight the importance of coordinated data collection efforts among groups and training programs to improve data access. At the institutional level, we emphasize the power of prioritizing data curation, incentivizing data publication, and promoting research that enhances data coverage and representativeness. Some of these strategies involve technological and analytical approaches, but many necessitate shifting the priorities and incentives of organizations such as academic and government research institutions, monitoring groups, journals, and funding agencies. Our overarching goal is to stimulate discussion to narrow the data disparities hindering the understanding of freshwater processes and their change across spatial scales.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70205","collaboration":"none","usgsCitation":"Smits, A., Hall, E., Deemer, B., Scordo, F., Barbosa, C.C., Carlson, S.M., Cawley, K.M., Grossart, H., Kelly, P.T., Mammola, S., Pintar, M., Robbins, C., Vidal, A., and Sacco, M., 2025, Too much and not enough data: Challenges and solutions for generating information in freshwater research and monitoring: Ecosphere, v. 16, no. 3, e70205, 19 p., https://doi.org/10.1002/ecs2.70205.","productDescription":"e70205, 19 p.","ipdsId":"IP-162033","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70205","text":"Publisher Index Page"},{"id":484131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, United States","otherGeospatial":"Nahuel Huapi Lake, Lake Tahoe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.47520389752921,\n              39.3888302058302\n            ],\n            [\n              -120.47520389752921,\n              38.773664326154886\n            ],\n            [\n              -119.56046785633012,\n              38.773664326154886\n            ],\n            [\n              -119.56046785633012,\n              39.3888302058302\n            ],\n            [\n              -120.47520389752921,\n              39.3888302058302\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.91761662863647,\n              -40.646837584942396\n            ],\n            [\n              -71.91761662863647,\n              -41.21142317383106\n            ],\n            [\n              -71.05714462820775,\n              -41.21142317383106\n            ],\n            [\n              -71.05714462820775,\n              -40.646837584942396\n            ],\n            [\n              -71.91761662863647,\n              -40.646837584942396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Smits, Adrianne P.","contributorId":352945,"corporation":false,"usgs":false,"family":"Smits","given":"Adrianne P.","affiliations":[{"id":84313,"text":"Environmental Science and Policy, University of California, Davis, CA, USA 95616","active":true,"usgs":false}],"preferred":false,"id":932554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Ed K","contributorId":156351,"corporation":false,"usgs":false,"family":"Hall","given":"Ed K","affiliations":[{"id":20320,"text":"University of Minnesota, Department of Ecology, Evolution and Behavior","active":true,"usgs":false}],"preferred":false,"id":932555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":932556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scordo, Facundo","contributorId":298282,"corporation":false,"usgs":false,"family":"Scordo","given":"Facundo","email":"","affiliations":[{"id":64520,"text":"Instituto Argentino de Oceanografía","active":true,"usgs":false}],"preferred":false,"id":932557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barbosa, Carolina C. 0000-0002-6393-5730","orcid":"https://orcid.org/0000-0002-6393-5730","contributorId":268214,"corporation":false,"usgs":false,"family":"Barbosa","given":"Carolina","email":"","middleInitial":"C.","affiliations":[{"id":55596,"text":"São Carlos School of Engineering, Hydraulics and Sanitation Department","active":true,"usgs":false}],"preferred":false,"id":932558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlson, Stephanie M.","contributorId":250652,"corporation":false,"usgs":false,"family":"Carlson","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":6643,"text":"University of California - 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,{"id":70265977,"text":"70265977 - 2025 - Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","interactions":[],"lastModifiedDate":"2025-04-23T14:14:53.930815","indexId":"70265977","displayToPublicDate":"2025-03-27T09:08:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","docAbstract":"<p><span>The decline of pelagophil minnows is related to river fragmentation across the southern Great Plains landscape. Because we know little about pelagophil movement patterns and timing, we aimed to quantify the movements of the vulnerable Arkansas River shiner (ARS) during the winter (November–March) and prespawning (April–June) seasons. We tagged 4233 ARS using visible implant elastomer, passive integrated transponder, or p-Chip micro-transponder tags in 2018–2020. We sampled to recapture tagged fish weekly during the winter and biweekly during the spring. Tagged fish exhibited a downstream movement bias and movement was weakly related to increasing temperature, discharge, and photoperiod during winter, however most of the variability was explained by a random individual effect. Larger individuals moved greater distances than smaller fish. Upstream movements by a migratory portion of the population appeared to begin around late February based on the presence of fish at previously unoccupied sites. However, the first long-distance (30-km) upstream movement by a tagged fish was documented in late May. We show evidence that some ARS may be resident fish at sites throughout winter and spring of multiple years. To conserve freshwater pelagophil minnows, our results indicate water management strategies improving river connectivity in late winter through the spawning season may benefit spawning by migratory individuals, whereas lateral connectivity might benefit the resident portion of the population. Research efforts under experimental flows could provide insight to improved recovery options.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-89500-4","usgsCitation":"Moore, D.M., and Brewer, S., 2025, Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow: Scientific Reports, v. 15, 10576, 15 p., https://doi.org/10.1038/s41598-025-89500-4.","productDescription":"10576, 15 p.","ipdsId":"IP-163233","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-89500-4","text":"Publisher Index Page"},{"id":484912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.95,\n              36.145\n            ],\n            [\n              -99.95,\n              35\n            ],\n            [\n              -96.79,\n              35\n            ],\n            [\n              -96.79,\n              36.145\n            ],\n            [\n              -99.95,\n              36.145\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Desiree M.","contributorId":287527,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":934224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":934225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265077,"text":"70265077 - 2025 - Limited directional change in mountaintop plant communities over 19 years in western North America","interactions":[],"lastModifiedDate":"2025-04-01T15:21:50.068321","indexId":"70265077","displayToPublicDate":"2025-03-27T08:15:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Limited directional change in mountaintop plant communities over 19 years in western North America","docAbstract":"<p><span>Plant communities on mountain summits are commonly long-lived, cold-adapted perennials with low dispersal ability. These characteristics in tandem with limited area to track suitable conditions make these mountain communities potentially highly vulnerable to climate change, and indicators of climate change impacts. We investigated temporal changes in plant communities on 29 arid mountain summits across eight study regions in California and Nevada, USA, over 19 years. We analyzed community dynamics in terms of species richness, turnover, gain and loss of functional groups, and relative abundance of functional groups. First, across all summits and regions, we found no change in species richness over time. Second, there was relatively high species turnover (21.7%) between the five-year survey intervals, but turnover was not significantly different from random expectation. Within functional groups, forbs had the greatest proportion of gains and cushions had the greatest proportion of losses. Third, qualitative abundance categories presented a small but consistent signal of decrease in the relative abundance of cushions, graminoids, and shrubs/trees over the study period. Across a broad geographic scale and nearly two decades, community patterns were widely similar, suggesting that climate change has not impacted local colonization or extirpation of mountaintop species in this arid region. These findings support observed differences in response to climate change between temperature-limited and water-limited regions globally, and highlight the lagged and variable nature of high-elevation systems. Our findings fill a major data gap on alpine plant community responses to climate change in the western United States and bolster the importance of long-term ecological monitoring with rapid climate change.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70197","usgsCitation":"Goff, K., Oldfather, M.F., Nachlinger, J., Smithers, B., Koontz, M., Bishop, C., Bishop, J., Burke, M., and Sheth, S., 2025, Limited directional change in mountaintop plant communities over 19 years in western North America: Ecosphere, v. 16, no. 3, e70197, 12 p., https://doi.org/10.1002/ecs2.70197.","productDescription":"e70197, 12 p.","ipdsId":"IP-167489","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70197","text":"Publisher Index 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 \"}}]}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Goff, Kaleb","contributorId":352919,"corporation":false,"usgs":false,"family":"Goff","given":"Kaleb","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldfather, Meagan Ford 0000-0003-3256-4786","orcid":"https://orcid.org/0000-0003-3256-4786","contributorId":331767,"corporation":false,"usgs":true,"family":"Oldfather","given":"Meagan","email":"","middleInitial":"Ford","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":932479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nachlinger, Jan","contributorId":352921,"corporation":false,"usgs":false,"family":"Nachlinger","given":"Jan","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smithers, Brian","contributorId":352922,"corporation":false,"usgs":false,"family":"Smithers","given":"Brian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":932481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Michael","contributorId":352923,"corporation":false,"usgs":false,"family":"Koontz","given":"Michael","affiliations":[{"id":84304,"text":"Vibrant Planet","active":true,"usgs":false}],"preferred":false,"id":932482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Catie","contributorId":352924,"corporation":false,"usgs":false,"family":"Bishop","given":"Catie","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bishop, Jim","contributorId":352925,"corporation":false,"usgs":false,"family":"Bishop","given":"Jim","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burke, Mary","contributorId":352926,"corporation":false,"usgs":false,"family":"Burke","given":"Mary","affiliations":[{"id":84302,"text":"GLORIA Great Basin","active":true,"usgs":false}],"preferred":false,"id":932485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheth, Seema","contributorId":352927,"corporation":false,"usgs":false,"family":"Sheth","given":"Seema","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932486,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264757,"text":"fs20253002 - 2025 - Critical Minerals in Ores (CMiO) database","interactions":[],"lastModifiedDate":"2026-01-23T21:37:38.090764","indexId":"fs20253002","displayToPublicDate":"2025-03-26T16:15:00","publicationYear":"2025","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":"2025-3002","displayTitle":"Critical Minerals in Ores (CMiO) Database","title":"Critical Minerals in Ores (CMiO) database","docAbstract":"<p>Critical minerals are commodities essential to modern industrial and strategic technologies and are highly vulnerable to supply chain disruption. The Critical Minerals Mapping Initiative (CMMI) is a collaboration among the U.S. Geological Survey (USGS), the Geological Survey of Canada, and Geoscience Australia that aims to deepen global understanding of where critical minerals are located. A key output of this initiative is the Critical Minerals in Ores (CMiO) database that is advancing our collective understanding of critical minerals distributions. For instance, publicly available data on the concentrations of many critical minerals are sparse because these commodities can only be produced in small, yet essential, quantities compared to the primary commodities like copper and zinc. The CMiO database helps bridge this gap by offering high-quality, multielement geochemical data from a wide variety of critical mineral-bearing deposits around the world. Importantly, it uses a novel consensus deposit environment, group, and type classification scheme developed by the agencies that allows comparisons among ore deposits from different regions. The CMiO database contains geochemical data for more than 20,000 samples from more than 100 deposit types comprising 10 deposit environments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253002","collaboration":"Prepared in collaboration with the Geological Survey of Canada and Geoscience Australia","programNote":"Mineral Resources Program","usgsCitation":"Case, G.N.D., Graham, G.E., Lawley, C.J.M., Bastrakov, E., Huston, D.L., Hofstra, A.H., Lisitsin, V., Hawkins, S.G., and Wang, B., 2025, Critical Minerals in Ores (CMiO) database (ver. 1.2, May 2025): U.S. Geological Survey Fact Sheet 2025–3002, 2 p., https://doi.org/10.3133/fs20253002.","productDescription":"Report: 2 p.; Dataset","onlineOnly":"N","ipdsId":"IP-172113","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":493736,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118563.htm","text":"Version 1.1","linkFileType":{"id":5,"text":"html"}},{"id":485219,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3002/versionHist.txt","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2025-3002 version history"},{"id":483999,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3002"},{"id":483900,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.xml"},{"id":483899,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3002/images"},{"id":483682,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pid.geoscience.gov.au/dataset/ga/145496","text":"Critical Minerals in Ores - geochemistry database"},{"id":483671,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.pdf","text":"Report","size":"5.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3002"},{"id":483670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3002/coverthb3.jpg"},{"id":498997,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118502.htm","text":"Version 1.0","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0: March 26, 2025; Version 1.1: April 30, 2025; Version 1.2: May 22, 2025","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/programs/mineral-resources-program\" data-mce-href=\"https://www.usgs.gov/programs/mineral-resources-program\">Mineral Resources Program</a><br>U.S. Geological Survey<br>913 National Center<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>A Global Geochemical Database to Assess Primary and Byproduct Critical Mineral Potential <br></li><li> Quantifying Critical Mineral Abundance in Different Deposit Types</li><li>Contributing Data to the CMiO Database</li><li>References Cited</li></ul>","publishedDate":"2025-03-26","revisedDate":"2025-05-22","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":931541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":931542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawley, Christopher","contributorId":259285,"corporation":false,"usgs":false,"family":"Lawley","given":"Christopher","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":931543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bastrakov, Evgeniy","contributorId":259289,"corporation":false,"usgs":false,"family":"Bastrakov","given":"Evgeniy","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":931544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huston, David L.","contributorId":259293,"corporation":false,"usgs":false,"family":"Huston","given":"David","middleInitial":"L.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":931545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":931546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lisitsin, Vladimir","contributorId":259280,"corporation":false,"usgs":false,"family":"Lisitsin","given":"Vladimir","email":"","affiliations":[{"id":52346,"text":"Geological Survey of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":931547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hawkins, Steph","contributorId":352513,"corporation":false,"usgs":false,"family":"Hawkins","given":"Steph","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":931548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Bronwen 0000-0003-1044-2227","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":217957,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":931549,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70265667,"text":"70265667 - 2025 - The effect of turbidity on foraging by prerostrum juvenile Paddlefish","interactions":[],"lastModifiedDate":"2025-05-12T15:44:47.955741","indexId":"70265667","displayToPublicDate":"2025-03-26T10:26:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12982,"text":"Transaction of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"The effect of turbidity on foraging by prerostrum juvenile Paddlefish","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">A previous study evaluating restoration success of Paddlefish<span>&nbsp;</span><i>Polyodon spathula</i><span>&nbsp;</span>suggested that excessive turbidity in lakes and rivers may inhibit foraging by juveniles prior to the development of the rostrum. Although a Paddlefish's rostrum, which contains electroreceptors, helps the fish to locate zooplankton prey, the prerostrum stage lacks many of these electroreceptors, potentially affecting foraging in highly turbid waters. To evaluate this hypothesis, we conducted a series of laboratory experiments in small aquaria by varying the level of turbidity measured as Secchi tube depth: &gt;95 (clear tap water), 40, 20, 10, or 5 cm.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">For each foraging trial, approximately 300 zooplankton were added to the aquaria, followed by three postlarval Paddlefish, which were allowed to feed on the zooplankton for approximately 18 h. After the 18-h period, Paddlefish were removed and dissected and the zooplankton in the gut were counted to quantify foraging success.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">From three experimental trials, we observed statistically significant nonlinear relationships for two trials, which included the largest fish tested. The smallest Paddlefish size-class showed no significant trend in foraging among turbidity treatments. However, the subsequent trials, which contained larger Paddlefish, both showed unimodal responses, with the highest foraging observed at moderate (30–50-cm Secchi tube depth) turbidity levels.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">High turbidity and excessively clear water both appear to affect foraging by juvenile Paddlefish before the rostrum is fully developed, depending on fish size. Understanding this relationship can further influence management and restoration projects directed at this species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnae007","usgsCitation":"Hood, E., Long, J.M., Shoup, D.E., Pennock, C., Dzialowski, A., and Schooley, J.D., 2025, The effect of turbidity on foraging by prerostrum juvenile Paddlefish: Transaction of the American Fisheries Society, v. 154, no. 2, p. 127-133, https://doi.org/10.1093/tafafs/vnae007.","productDescription":"7 p.","startPage":"127","endPage":"133","ipdsId":"IP-167173","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488473,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnae007","text":"Publisher Index Page"},{"id":484502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hood, Ethan","contributorId":353265,"corporation":false,"usgs":false,"family":"Hood","given":"Ethan","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":341455,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennock, Casey A.","contributorId":287044,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":933217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dzialowski, Andrew R.","contributorId":340754,"corporation":false,"usgs":false,"family":"Dzialowski","given":"Andrew R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":933218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schooley, Jason D.","contributorId":340755,"corporation":false,"usgs":false,"family":"Schooley","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":933219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265017,"text":"70265017 - 2025 - Applying U-Th disequilbrium for dating siliceous sinters","interactions":[],"lastModifiedDate":"2025-04-17T15:43:41.688613","indexId":"70265017","displayToPublicDate":"2025-03-26T08:52:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Applying U-Th disequilbrium for dating siliceous sinters","docAbstract":"<p><span>Continental hydrothermal systems are critical avenues for the crustal transport of heat and mass captured for geothermal energy and mineral exploration. Thus, understanding their temporal evolution and longevity is important for resource characterization. Deposits of microlaminated siliceous sinter, common surface expressions of high temperature reservoirs (&gt; 170 °C), have the potential to trace hydrothermal histories. Geothermal reservoirs are often located within uranium-bearing silicic volcanic rock where subsurface fluid-rock interactions extract U into hydrothermal fluids. U incorporated in the surface sinter deposit has the potential to provide a U—</span><span>Th disequilibrium dating option. We focus on samples from El Tatio geyser field in the Altiplano of northern Chile, the largest geothermal system in the Andes. Our resulting&nbsp;</span><sup>230</sup><span>Th/U ages, along with the water and deposit elemental compositions, suggest concentrations of U and Th vary predictably along the sinter apron. While distal facies containing the highest U concentrations (&gt; 50 μg/g) are least affected by detrital Th corrections, they can display suspected open-system behavior. In contrast, more medial facies, where bacterial mats and other porous textures are co</span>mmonly concentrated, have only trace amounts of U (&lt; 0.1 μg/g), which leads to unreliable or geologically improbable dates. Proximal facies tend to date most consistently. By comparing existing&nbsp;<sup>14</sup>C ages with&nbsp;<sup>230</sup>Th/U results,&nbsp;<sup>230</sup>Th/U ages tend to be younger than the&nbsp;<sup>14</sup>C ages, supporting the presence of a&nbsp;<sup>14</sup>C-dead carbon influence. New data confirm that the onset of geothermal activity at El Tatio goes back to the late Pleistocene.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108324","usgsCitation":"Sankovitch, L., Munoz-Saez, C., Hudson, A.M., Godfrey, L.V., and Thompson, J.M., 2025, Applying U-Th disequilbrium for dating siliceous sinters: Journal of Volcanology and Geothermal Research, v. 462, 108324, 16 p., https://doi.org/10.1016/j.jvolgeores.2025.108324.","productDescription":"108324, 16 p.","ipdsId":"IP-170814","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490997,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108324","text":"Publisher Index Page"},{"id":483983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Altiplano, El Tatio geyser field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.031,\n              -22.32\n            ],\n            [\n              -68.031,\n              -22.355\n            ],\n            [\n              -67.99,\n              -22.355\n            ],\n            [\n              -67.99,\n              -22.32\n            ],\n            [\n              -68.031,\n              -22.32\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"462","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankovitch, Lauren","contributorId":352884,"corporation":false,"usgs":false,"family":"Sankovitch","given":"Lauren","affiliations":[{"id":24706,"text":"University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz-Saez, Carolina","contributorId":261680,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":932311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":932312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Linda V.","contributorId":211554,"corporation":false,"usgs":false,"family":"Godfrey","given":"Linda","email":"","middleInitial":"V.","affiliations":[{"id":38266,"text":"Dept Earth and Planetary Sciences, Rutgers University","active":true,"usgs":false}],"preferred":false,"id":932313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271425,"text":"70271425 - 2025 - Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2025-11-21T22:07:23.220798","indexId":"70271425","displayToPublicDate":"2025-03-26T08:23:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wangyanite, PdNi<sub>8</sub>S<sub>8</sub>, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","title":"Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","docAbstract":"<p><span>Wangyanite (IMA2024-008a), ideally PdNi</span><sub>8</sub><span>S</span><sub>8</sub><span>, is a Pd end-member mineral of the pentlandite group that was discovered in the J-M reef of the Stillwater Complex, Montana, USA. Wangyanite occurs as anhedral-subhedral granular crystals 200–400&nbsp;µm in size, associated with isoferroplatinum, braggite, pentlandite, and chalcopyrite interstitial to plagioclase grains within anorthosite. Wangyanite exhibits a yellowish brown color with a black streak and a metallic luster. It is brittle with uneven fractures, and has a calculated density of 5.14&nbsp;g/cm</span><sup>3</sup><span>. The mineral does not show discernible pleochroism, bireflectance, or anisotropy. It has an average composition of 9.95 wt.% Pd, 31.95 wt.% Ni, 25.02 wt.% Fe, 0.57 wt.% Co, 31.74 wt.% S, totaling 99.23 wt.%. The empirical formula, based on eight sulfur atoms per formula unit, is (Pd</span><sub>0.76</sub><span>Co</span><sub>0.08</sub><span>)</span><sub>Σ0.84</sub><span>(Ni</span><sub>4.39</sub><span>Fe</span><sub>3.60</sub><span>)</span><sub>Σ7.99</sub><span>S</span><sub>8</sub><span>. Wangyanite has a cubic cell with a space group of&nbsp;</span><i>Fm</i><span>-3</span><i>m</i><span>&nbsp;(#225), having lattice parameters of&nbsp;</span><i>a</i><span> = 10.1167(12) Å,&nbsp;</span><i>V</i><span> = 1035.4(4) Å</span><sup>3</sup><span>, and&nbsp;</span><i>Z</i><span> = 4. Its crystal structure has been solved by single-crystal three-dimensional electron diffraction study. The strongest X-ray diffraction lines of wangyanite are claculated at [</span><i>d</i><span>&nbsp;in Å (</span><i>I</i><span>%)(</span><i>hkl</i><span>)]: 5.841(14.03)(111), 3.050(100)(311), 1.947(29.16)(115,333), 1.264(11.66)(800), 3.577(8.79)(220), 2.920(20.82)(222), and 2.321(9.34)(331). Wangyanite shares the same crystal structure as pentlandite, but the octahedrally coordinated site is mainly occupied by Pd in wangyanite. Based on the textural features and previous experimental Pd-Fe-Ni-S phase system, wangyanite could form by peritectic reaction between braggite, pentlandite and sulfide liquid. These mineral associations are stable in a Ni-Pd-rich sulfide melt system at about 550 °C or even lower temperature. Therefore, wangyanite can potentially serve as an indicator of the presence of Pd-rich residual melts. The mineral is named in honor of Prof. Christina Yan Wang, a well-known researcher on platinum-group element (PGE) occurrences and enrichment mechanisms in mafic-ultramafic intrusions, notably those deposits related to the Emeishan large igneous province in China.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9640","usgsCitation":"Chen, C., Xian, H., Jenkins, C., Yao, Z., Yang, Y., Lin, X., Li, S., Xi, J., Yuan, Y., Zhu, J., and He, H., 2025, Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA: American Mineralogist, v. 110, no. 11, p. 1844-1853, https://doi.org/10.2138/am-2024-9640.","productDescription":"10 p.","startPage":"1844","endPage":"1853","ipdsId":"IP-171842","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.24279413690628,\n              45.955948424729655\n            ],\n            [\n              -110.24279413690628,\n              44.99326226890244\n            ],\n            [\n              -108.16283330375325,\n              44.99326226890244\n            ],\n            [\n              -108.16283330375325,\n              45.955948424729655\n            ],\n            [\n              -110.24279413690628,\n              45.955948424729655\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Science Center","active":true,"usgs":true}],"preferred":false,"id":948733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yao, Zhuosen","contributorId":357309,"corporation":false,"usgs":false,"family":"Yao","given":"Zhuosen","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":948711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Yiping","contributorId":361378,"corporation":false,"usgs":false,"family":"Yang","given":"Yiping","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lin, Xiaoju","contributorId":361379,"corporation":false,"usgs":false,"family":"Lin","given":"Xiaoju","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Shan","contributorId":361399,"corporation":false,"usgs":false,"family":"Li","given":"Shan","affiliations":[],"preferred":false,"id":948734,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xi, Jiaxin","contributorId":361380,"corporation":false,"usgs":false,"family":"Xi","given":"Jiaxin","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Yuhuan","contributorId":361381,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuhuan","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhu, Jianxi","contributorId":361382,"corporation":false,"usgs":false,"family":"Zhu","given":"Jianxi","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of 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,{"id":70265500,"text":"70265500 - 2025 - Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications","interactions":[],"lastModifiedDate":"2025-06-23T15:20:23.515805","indexId":"70265500","displayToPublicDate":"2025-03-26T08:12:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications","docAbstract":"<p><span>Habitat features needed by wildlife can change in composition throughout the year, particularly in temperate ecosystems, leading to distinct seasonal spatial-use patterns. Studies of species-habitat associations therefore often focus on understanding relationships within discrete seasonal periods with common goals of prediction (e.g., habitat mapping) and inference (e.g., interpreting model coefficients). Across the range of the greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) of western North America, the increasing use of high-frequency tracking devices has led to a surge in habitat association studies covering multiple temporal periods and spatial extents. We reviewed the literature for seasonal habitat association studies corresponding to the second and third orders of selection (Johnson 1980). Our objectives were to summarize the methodological approaches used to estimate habitat associations to aid understanding in cross-study comparisons and identify common habitat features reported as selected or avoided within different seasonal periods. We reviewed 71 second- and third-order studies published from 2007–2023 that evaluated covariates collected in a geographic information system (GIS) and modeled probability of selection or intensity of use. The most common study design evaluated a single level of selection (third-order) and was multi-scale (i.e., covariates were measured at varying spatial grains). The most common model approach estimated habitat associations using resource selection functions (RSFs) fit with logistic regression. Studies mostly focused on the breeding periods and winter, but all seasons throughout the annual cycle were covered. There was clear support for selection of sagebrush and avoidance of trees and rugged terrain across seasons, and strong selection of mesic conditions in summer. However, habitat associations for most covariates were mixed, with proportionally equivalent selection and avoidance reported, even within the same seasons. Different factors hampered cross-study comparisons, including variation in study design, but additional contributors likely included important context-dependent habitat associations, such as functional responses to changing habitat availability. We suggest collaborative studies leveraging multiple datasets can help improve seasonal habitat inference by removing the effects of variable study designs.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70022","usgsCitation":"Wann, G.T., Whipple, A.L., Orning, E.K., McLachlan, M.M., Beck, J.L., Coates, P., Conway, C.J., Dinkins, J.B., Johnston, A.N., Hagen, C., Makela, P., Naugle, D., Schroeder, M.A., Sedinger, J.S., Walker, B.L., Williams, P.J., Inman, R.D., and Aldridge, C.L., 2025, Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications: Journal of Wildlife Management, v. 89, no. 5, e70022, 33 p., https://doi.org/10.1002/jwmg.70022.","productDescription":"e70022, 33 p.","ipdsId":"IP-154951","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488629,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70022","text":"Publisher Index Page"},{"id":484325,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.85259667955762,\n              49.62627448300293\n            ],\n            [\n              -123.85259667955762,\n              33.76025294128375\n            ],\n            [\n              -104.85728560371575,\n              33.76025294128375\n            ],\n            [\n              -104.85728560371575,\n              49.62627448300293\n            ],\n            [\n              -123.85259667955762,\n              49.62627448300293\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n     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L.","contributorId":287806,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey","middleInitial":"L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":932834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":932835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit 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University","active":true,"usgs":false}],"preferred":false,"id":932839,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Makela, Paul","contributorId":338000,"corporation":false,"usgs":false,"family":"Makela","given":"Paul","email":"","affiliations":[],"preferred":false,"id":932840,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Naugle, David","contributorId":341484,"corporation":false,"usgs":false,"family":"Naugle","given":"David","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":932841,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schroeder, Michael A","contributorId":221131,"corporation":false,"usgs":false,"family":"Schroeder","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":12438,"text":"Washington Department of Fish and 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Refuge","active":true,"usgs":false}],"preferred":false,"id":932845,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":932846,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":932847,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70268950,"text":"70268950 - 2025 - Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","interactions":[],"lastModifiedDate":"2025-07-11T15:08:06.152682","indexId":"70268950","displayToPublicDate":"2025-03-26T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","docAbstract":"<p><span>The social structure of translocated animal populations can have important effects on the survival and reproduction of translocated individuals for both solitary and social species. The gopher tortoise (</span><i>Gopherus polyphemus</i><span>) is a reptile of conservation concern that is currently experiencing high levels of mitigation translocation in Florida, USA. Individuals live in aggregations of burrows with frequent agonistic, courtship, and burrow-sharing interactions between residents. Given that exposure to many unfamiliar individuals may increase the frequency of aggressive interactions and social stress following translocation, we predicted that tortoises with greater numbers of familiar individuals co-translocated from the same origin site would have higher survival after translocation. To test this, we updated a recently published survival analysis of 2,822 translocated tortoises and 502 identified carcasses from a translocation site in the western Florida panhandle from 2006–2022. After controlling for simultaneous effects of soft-release enclosure identity, release season, release density, region of origin, sex, and size, adding the number of potentially familiar individuals improved model fit and showed increasing the number of familiars reduced the probability of being found dead. This effect was modulated by release density, being apparent only when density was high, suggesting a role for social interactions. This effect was also present only in the first few years after release, prior to the removal of soft-release enclosures preventing dispersal, and was similar in magnitude to previously identified effects of density, release season, and region of origin. We suggest that this effect may result from reduced aggressive interactions or social stress for tortoises with a greater number of familiar individuals in their release enclosures but cannot rule out the possibility of reduced novel pathogen exposure for individuals released with a greater number of individuals from the same source site or other factors that may be confounded with the size of translocated groups. Designing and implementing mitigation translocations to account for social composition of gopher tortoise groups could improve survival in release enclosures.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70020","usgsCitation":"Loope, K., Cozad, R., Breakfield, D., Aresco, M., and Hunter, E.A., 2025, Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises: The Journal of Wildlife Management, v. 89, no. 5, e70020, 14 p., https://doi.org/10.1002/jwmg.70020.","productDescription":"e70020, 14 p.","ipdsId":"IP-169542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70020","text":"Publisher Index Page"},{"id":492133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.75224246079063,\n              30.992257366593762\n            ],\n            [\n              -87.75224246079063,\n              29.82890590815998\n            ],\n            [\n              -84.30370034537961,\n              29.82890590815998\n            ],\n            [\n              -84.30370034537961,\n              30.992257366593762\n            ],\n            [\n              -87.75224246079063,\n              30.992257366593762\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Loope, Kevin J.","contributorId":357851,"corporation":false,"usgs":false,"family":"Loope","given":"Kevin J.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":942703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozad, Rebecca A.","contributorId":357853,"corporation":false,"usgs":false,"family":"Cozad","given":"Rebecca A.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breakfield, Derek. B.","contributorId":357855,"corporation":false,"usgs":false,"family":"Breakfield","given":"Derek. B.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aresco, Matthew J.","contributorId":357857,"corporation":false,"usgs":false,"family":"Aresco","given":"Matthew J.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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