The joint National Aeronautics and Space Administration and European Space Agency Mars Sample Return (MSR) Campaign is a proposed multi-mission effort to bring selected geological samples from Mars to Earth for the purpose of scientific investigation. Significant parts of these investigations could be affected by Earth-sourced contamination that is either misinterpreted as having a martian origin or that masks a martian signal. The Mars 2020 Perseverance rover implemented strict contamination control requirements to limit contamination of the samples during sample collection. Contamination control and contamination knowledge requirements have not yet been established for the samples after they arrive on Earth. The MSR Sample Receiving Facility (SRF) Contamination Panel (SCP) was tasked with defining the terrestrial biological, organic, and inorganic contamination limits for martian samples during their residence inside the SRF. To reach our recommendations, the SCP studied (i) the previously proposed limits and rationale of the Organic Contamination Panel, (ii) cleanliness levels achieved for sampling hardware by the M2020 mission, (iii) recent improvements in analytical technology and detection limits, (iv) updated information regarding the organic content of martian samples (e.g., from the Sample Analysis at Mars instrument on the Curiosity rover and laboratory analyses of martian meteorites), and (v) information about the composition and geologic context of samples being collected by the Perseverance rover for return to Earth.
","language":"English","publisher":"SAGE publications","doi":"10.1177/15311074251382157","usgsCitation":"Sessions, A.L., Magnabosco, C., Barton, H.A., Burkhardt, C., Freissinet, C., Dworkin, J.P., French, K.L., Glavin, D.P., Leys, N., Maixner, F., Olsson-Francis, K., Probst, A.J., Quitté, G., Rampe, E.B., Steele, A., Carrier, B.L., Hays, L.E., Thiessen, F., Paardekooper, D., Hutzler, A., Harrington, A.D., and Teece, B.L., 2025, Planning considerations related to contamination control for the return and analysis of Martian samples: Astrobiology, v. 25, no. 10, p. 694-724, https://doi.org/10.1177/15311074251382157.","productDescription":"31 p.","startPage":"694","endPage":"724","ipdsId":"IP-181964","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504206,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Connecticut","interactions":[],"lastModifiedDate":"2026-02-18T15:29:02.070069","indexId":"70273938","displayToPublicDate":"2025-10-03T09:18:40","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","docAbstract":"This excursion presents a reinterpretation of mapping and new analytical data from the eastern Orange-Milford belt (OMB) in south-central Connecticut. The OMB is a fault-bound terrane of argillites and mafic rocks of anomalously low metamorphic grade—and of poorly constrained ages and tectonic affinity—wedged between kyanite/sillimanite-grade peri- Laurentian rocks to the west and anatectic peri-Gondwanan rocks to the east (Fig. 1A). Our data demonstrate that Ordovician(?) igneous and sedimentary rocks of the OMB were variably metamorphosed in the Ordovician and Silurian but escaped regionally pervasive, high-grade Devonian and later metamorphism. Previous interpretations (Fritts 1963a, 1965a, 1965b; Burger, 1967; Burger and others, 1968; Rodgers, 1985) described these rocks as a conformable sequence of low-grade, Ordovician to Devonian metasediments and metavolcanics. Our results reveal that the “metavolcanics” are not extrusive rocks but rather slivers of lower oceanic crust with complicated high- and low-grade metamorphic fabrics, intruded by a swarm of Silurian sheeted basalt dikes, and in fault contact with the surrounding metasediments. The purpose of this trip is to show evidence of early Paleozoic (Taconic) deformation and metamorphism preserved in rocks of the eastern OMB. These rocks remained shallow, cool, and sufficiently dry during the regionally dominant Acadian and Alleghanian orogenies to have avoided significant overprinting. As such, these rocks serve as windows into a geologic history otherwise unavailable between anatectic rocks of the peri-Gondwanan Bronson Hill, Avalon, and Gander terranes east of the Hartford basin and sillimanite-grade rocks of the peri-Laurentian Hartland and gneiss dome belts west of the OMB. We present major and trace element geochemistry including rare-earth element patterns for all mafic units in the eastern OMB as well as 40Ar/39Ar age spectra of amphibole, muscovite, and K-feldspar from rocks of the Maltby Lakes complex (of Deasy and others, 2017), Savin Schist, and Wepawaug Schist. Our evidence demonstrates that the units of the OMB have been assembled by faulting or intrusion, and that no stratigraphic relationships exist between the argillaceous schists and the metaigneous rocks.
","conferenceTitle":"The 116th Annual Meeting of the New England Intercollegiate Geological Conference","conferenceDate":"October 3-5, 2025","conferenceLocation":"New Haven, CT","language":"English","publisher":"New England Intercollegiate Geologic Conference","usgsCitation":"Deasy, R.T., Wintsch, R.P., Wathen, B., McAleer, R.J., Meyer, R., and Kunk, M.J., 2025, Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut, The 116th Annual Meeting of the New England Intercollegiate Geological Conference, New Haven, CT, October 3-5, 2025, 28 p.","productDescription":"28 p.","ipdsId":"IP-180844","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.neigc.info/event-details/trip-c-tectonic-slivers-of-oceanic-crust-sheeted-dikes-and-sheared-gabbros-in-the-eastern-orange-milford-belt-connect"}],"country":"United States","state":"Connecticut","otherGeospatial":"Orange-Milford Belt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.19443061248478,\n 41.40182493381846\n ],\n [\n -73.19443061248478,\n 41.14678441229245\n ],\n [\n -72.93204746185228,\n 41.14678441229245\n ],\n [\n -72.93204746185228,\n 41.40182493381846\n ],\n [\n -73.19443061248478,\n 41.40182493381846\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Deasy, Ryan T. 0000-0002-7530-803X","orcid":"https://orcid.org/0000-0002-7530-803X","contributorId":299762,"corporation":false,"usgs":true,"family":"Deasy","given":"Ryan","middleInitial":"T.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wintsch, Robert P. 0000-0002-1969-5514","orcid":"https://orcid.org/0000-0002-1969-5514","contributorId":366404,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","middleInitial":"P.","affiliations":[{"id":86055,"text":"Indiana University emeritus","active":true,"usgs":false}],"preferred":false,"id":955821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wathen, Bryan","contributorId":148990,"corporation":false,"usgs":false,"family":"Wathen","given":"Bryan","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":955822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Romain","contributorId":148991,"corporation":false,"usgs":false,"family":"Meyer","given":"Romain","email":"","affiliations":[{"id":17609,"text":"Deutsche GeoForchungsZentrum Potsdam","active":true,"usgs":false}],"preferred":false,"id":955824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunk, Michael J.","contributorId":366405,"corporation":false,"usgs":false,"family":"Kunk","given":"Michael","middleInitial":"J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":955825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272077,"text":"70272077 - 2025 - Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","interactions":[],"lastModifiedDate":"2025-11-14T16:06:29.946987","indexId":"70272077","displayToPublicDate":"2025-10-03T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","docAbstract":"Maars pose considerable hazards due to their more explosive nature (compared with more common scoria cones) and likelihood that eruptions produce pyroclastic surges. Blue Lake crater is a maar in the Oregon High Cascades that erupted within the last 3000 years, making it one of the youngest eruptions in the Oregon Cascades. Its young, unaltered deposits make it an excellent site to examine the relationship between fragmentation processes and ash characteristics. This paper presents an extensive data set of grain size, componentry, texture, particle morphology, and surface features for 23 samples from 17 layers from Blue Lake crater to better understand fragmentation style and eruptive dynamics over the course of the eruption. We present detailed stratigraphy from 22 tephra pits and analyze tephra samples following a standardized method. An improved isopach map and a new isopleth map show the extensive, ENE-trending fallout and surge deposits. Based on the tephra sheet, the eruption can be divided into three phases, starting with a phreatomagmatic phase that produced laterally extensive, lithic-rich fallout deposits and excavated the initial crater. The middle phase of the eruption produced phreatomagmatically fragmented intercalated fallout and surge deposits. The eruption closed with coarse grained fallout deposits with a declining lithic content, indicating a shift towards a hybrid or phreato-Strombolian style. This detailed examination of the deposits leads to a more nuanced explanation of the eruption and fragmentation dynamics, which contribute to a better understanding of maar eruption processes and hazards.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01857-6","usgsCitation":"Leiter, S., Ross, P., and Johnson, E.R., 2025, Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA: Bulletin of Volcanology, no. 87, 92, 27 p., https://doi.org/10.1007/s00445-025-01857-6.","productDescription":"92, 27 p.","ipdsId":"IP-175655","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Blue Lake crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.87499438259134,\n 44.522898198963645\n ],\n [\n -121.87499438259134,\n 44.51967210758181\n ],\n [\n -121.87067741535604,\n 44.51967210758181\n ],\n [\n -121.87067741535604,\n 44.522898198963645\n ],\n [\n -121.87499438259134,\n 44.522898198963645\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"87","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Leiter, Sophia","contributorId":362099,"corporation":false,"usgs":false,"family":"Leiter","given":"Sophia","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Pierre-Simon","contributorId":362100,"corporation":false,"usgs":false,"family":"Ross","given":"Pierre-Simon","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Emily Renee 0000-0002-7967-6913","orcid":"https://orcid.org/0000-0002-7967-6913","contributorId":269628,"corporation":false,"usgs":true,"family":"Johnson","given":"Emily","email":"","middleInitial":"Renee","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272967,"text":"70272967 - 2025 - UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape","interactions":[],"lastModifiedDate":"2025-12-11T14:57:10.87794","indexId":"70272967","displayToPublicDate":"2025-10-03T07:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape","docAbstract":"Context
Cheatgrass (Bromus tectorum L.) is a problem across the western United States, where it outcompetes and replaces native grass species, alters habitats, and increases the risk of wildfires. Cheatgrass greens up earlier in the growing season compared to native grasses, making it classifiable with multi-temporal and multi-spectral remote sensing.
Objectives
We mapped cheatgrass at different scales in the Greater Yellowstone Ecosystem using 10-m Sentinel-2 imagery, 3-m PlanetScope, and 10-cm Uncrewed Aerial Systems (UAS) imagery. We compared these maps to field-collected data to address 1) variation in seasonal phenological signals of native and cheatgrass patches, 2) the influence of scale on detectability and map accuracy across our study area.
Results
Model accuracy to predict cheatgrass presence increased with imagery resolution and ranged from 83% using 10-m Sentinel-2 to 94% with the integration of PlanetScope and UAS imagery. While there was spatial agreement across models, the fusion of UAS data with satellite sources allowed the detection of small cheatgrass with more precision. Our novel use of NExR and dNExR (a redness and differenced redness index) data in the classification of cheatgrass capitalizes on the senescence of cheatgrass during peak summer periods where cloud free imagery is more prevalent.
Conclusions
Our satellite and UAS-based models of cheatgrass prediction compare the fusion of very high resolution imagery and phenological time differencing to identify infested areas. Tradeoffs between accuracy and expense lead to important questions for management applications.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02200-2","usgsCitation":"Kreitler, J.R., Von Nonn, J.W., Munson, S.M., Zaideman, A.C., Bekedam, S.T., Rodman, A., and Villarreal, M., 2025, UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape: Landscape Ecology, v. 40, 189, 17 p., https://doi.org/10.1007/s10980-025-02200-2.","productDescription":"189, 17 p.","ipdsId":"IP-171263","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":497380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02200-2","text":"Publisher Index Page"},{"id":497321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Gardiner","otherGeospatial":"northern gate to Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.74822627648368,\n 45.036818856935014\n ],\n [\n -110.74822627648368,\n 44.9980588003821\n ],\n [\n -110.6517700780241,\n 44.9980588003821\n ],\n [\n -110.6517700780241,\n 45.036818856935014\n ],\n [\n -110.74822627648368,\n 45.036818856935014\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Von Nonn, Joshua W. 0009-0003-7251-7308","orcid":"https://orcid.org/0009-0003-7251-7308","contributorId":332293,"corporation":false,"usgs":true,"family":"Von Nonn","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zaideman, Alex C.","contributorId":363745,"corporation":false,"usgs":false,"family":"Zaideman","given":"Alex","middleInitial":"C.","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":951919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bekedam, Steven T.","contributorId":363746,"corporation":false,"usgs":false,"family":"Bekedam","given":"Steven","middleInitial":"T.","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":951920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodman, Ann","contributorId":150932,"corporation":false,"usgs":false,"family":"Rodman","given":"Ann","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":951921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":214980,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951922,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274009,"text":"70274009 - 2025 - Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter","interactions":[],"lastModifiedDate":"2026-02-23T17:34:57.783598","indexId":"70274009","displayToPublicDate":"2025-10-02T10:29:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter","docAbstract":"Collared pikas (Ochotona collaris) are cold adapted alpine lagomorphs of western Canada and Alaska, USA, that are vulnerable to direct and indirect effects of climate change. However, how and to what extent such changes influence persistence for this species is not well understood, particularly at fine spatial scales. Our goal was to evaluate how microclimate and microhabitat characteristics influence occupancy of collared pikas. We quantified thermal conditions during both summer and winter to test hypotheses about potential drivers of pika persistence. We recorded den occupancy and territory characteristics, including in situ measurements of den microclimate, across three study areas with contrasting climate gradients in southcentral and interior Alaska during 2017–2022. We examined changes in pika den occurrence by estimating annual colonization and extinction rates with a Bayesian dynamic occurrence model with forage availability, rock size, and multiple den temperature metrics as the explanatory variables. Our top model indicated that daily maximum temperature during both summer and winter best predicted den persistence and larger rocks had a moderating effect on warm summer den temperatures. This information helps to advance understanding about the mechanistic links between climate and population persistence for small mammal species under a rapidly changing arctic climate.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2502161","usgsCitation":"Harrison, L.A., Christie, K.S., Brandt, C., Falcy, M.R., Gilbert, S.L., Rachlow, J.L., 2025, Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2502161, 17 p., https://doi.org/10.1080/15230430.2025.2502161.","productDescription":"2502161, 17 p.","ipdsId":"IP-179160","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2502161","text":"Publisher Index Page"},{"id":500431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.45653673679158,\n 62.833897716435274\n ],\n [\n -154.87402485631074,\n 60.0726821448782\n ],\n [\n -149.37753560622093,\n 60.9339172578167\n ],\n [\n -141.32845624709518,\n 59.98407037941388\n ],\n [\n -140.91038491440708,\n 62.78570300568498\n ],\n [\n -148.1580130001717,\n 64.18918315969188\n ],\n [\n -155.45653673679158,\n 62.833897716435274\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lillian A.","contributorId":366637,"corporation":false,"usgs":false,"family":"Harrison","given":"Lillian","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christie, Katherine S.","contributorId":366638,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","middleInitial":"S.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Collette","contributorId":366639,"corporation":false,"usgs":false,"family":"Brandt","given":"Collette","affiliations":[{"id":87498,"text":"Joint Base Elmendorf-Richardson","active":true,"usgs":false}],"preferred":false,"id":956116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilbert, Sophie L.","contributorId":366640,"corporation":false,"usgs":false,"family":"Gilbert","given":"Sophie","middleInitial":"L.","affiliations":[{"id":87499,"text":"Vibrant Planet PBC","active":true,"usgs":false}],"preferred":false,"id":956118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rachlow, Janet L.","contributorId":366641,"corporation":false,"usgs":false,"family":"Rachlow","given":"Janet","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956119,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272669,"text":"70272669 - 2025 - Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution","interactions":[],"lastModifiedDate":"2026-01-07T17:33:27.413096","indexId":"70272669","displayToPublicDate":"2025-10-02T10:23:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution","docAbstract":"The Pacific walrus (Odobenus rosmarus divergens) has a single, panmictic stock that ranges across the Bering and Chukchi Seas. However, its seasonal distribution is incompletely described, particularly in autumn when herds gather on shore, and abundance is of interest to management entities. We monitored walrus herds using satellite imagery on shore across their summer and autumn range in the Chukchi Sea to provide insights on seasonal distribution and abundance. During each study year (2017–2024), we documented walrus herd abundance at 8 Chukchi Sea haulouts based on the herd area detected in satellite imagery multiplied by herd density estimates derived from aerial survey data. In contrast to historical seasonal use, we found large herds on shore at only 3 sites, 1 in Alaska and 2 in northern Chukotka (Russia). In 2022, we observed a very large herd with an abundance (and 90% prediction interval) of 184,000 (min–max = 153,000–214,000) northwest of the Bering Strait, which enabled us to estimate a minimum population size (Nmin) by correcting the abundance estimate by the proportion of walruses that may be hauled out and available for detection. Our estimate of 250,000 was commensurate with the Nmin estimate (214,000) from a 2013–2017 Pacific walrus genetic mark-recapture study.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1614","usgsCitation":"Fischbach, A., Taylor, R.L., and Douglas, D., 2025, Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution: Wildlife Society Bulletin, v. 49, no. 4, e1614, 15 p., https://doi.org/10.1002/wsb.1614.","productDescription":"e1614, 15 p.","ipdsId":"IP-177020","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":497118,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1614","text":"Publisher Index Page"},{"id":497014,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.93329442452998,\n 71.88906251809732\n ],\n [\n -179.83432013170355,\n 67.84896545701015\n ],\n [\n -173.47189614919742,\n 65.81108912941576\n ],\n [\n -169.36873613536477,\n 65.64307141045649\n ],\n [\n -162.35050637387656,\n 66.07780618690225\n ],\n [\n -159.94513066611069,\n 70.71050879067744\n ],\n [\n -179.93329442452998,\n 71.88906251809732\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 177.62607489674906,\n 72.2560194763146\n ],\n [\n 177.62607489674906,\n 68.47301701440111\n ],\n [\n 179.9,\n 68.47301701440111\n ],\n [\n 179.9,\n 72.2560194763146\n ],\n [\n 177.62607489674906,\n 72.2560194763146\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":951274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":951275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":951276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272018,"text":"sir20255061 - 2025 - Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey","interactions":[],"lastModifiedDate":"2026-04-27T14:44:29.910426","indexId":"sir20255061","displayToPublicDate":"2025-10-01T14:49:12","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":"2025-5061","displayTitle":"Statistical Streamflow Comparison of Current and Historical 30-Year Periods for Selected Streams in New Jersey","title":"Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey","docAbstract":"As the population of New Jersey increases, supplying adequate drinking water to meet demand remains a high priority. To better understand potential streamflow trends over time, the U.S. Geological Survey completed a study comparing low flows at continuous- and partial-record streamgages in New Jersey between a historical period (1950–79) and a current period (1990–2019). Fourteen statistics (one median for each of the twelve monthly minimum 1-day flows, minimum 7-day average streamflow with a 10-year recurrence interval, and median of the daily mean flows for the month of September) were calculated to evaluate how streamflow conditions may differ between the two time periods. Percent change was also calculated to better understand the magnitude of difference between the periods at individual streamgages. A Paired Wilcoxon Signed-Rank Test was implemented to test for a change in distribution between the two time periods for each statistic of interest. Results indicated that the median of the minimum 1-day flows for the months of January, February, June, September, and December and the median of the daily mean flows for the month of September had a statistically significant difference in distribution between the time periods for continuous-record streamgages. None of the statistics had a statistically significant difference in distribution for the partial-record streamgages. The largest percent changes between time periods occurred in the northern part of the state, above the Fall Line. Precipitation, land cover, and water use changes were assessed to contribute to the understanding of these differences between time periods. The median of the minimum 1-day flows for the months of January and December generally increased across the state, whereas the median of the minimum 1-day flows for the months of May and September generally decreased throughout the state.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255061","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Williams, B.M., Sullivan, S.L., Suro, T.P., Collenburg, J.V., McHugh, A.R., and Shourds, J.L., 2025, Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey: U.S. Geological Survey Scientific Investigations Report 2025–5061, 40 p., https://doi.org/10.3133/sir20255061.","productDescription":"Report, ix, 40 p.; 2 Data Releases","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-164588","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":497794,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118975.htm"},{"id":496622,"rank":7,"type":{"id":30,"text":"Data 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Jersey\",\"nation\":\"USA \"}}]}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
The National Land Cover Database (NLCD), developed through the Multi-Resolution Land Characteristics Consortium, was initiated 30 years ago and has continually provided critical, Landsat-based landcover and land-change information for the United States. Originally launched to address the lack of national-scale, moderate-resolution land-cover data, NLCD has evolved from the pioneering 1992 dataset into a comprehensive, annually updated product suite. Key innovations include the introduction of impervious surface mapping, forest canopy mapping, standardized Landsat mosaics, national-scale accuracy assessments, continual evolution of deep learning and artificial intelligence methodologies, and a transition toward operational, change-focused monitoring. The NLCD has become an essential resource for scientific research, land management, and policy development, with extensive adoption across federal, state, and local agencies; academia; and the private sector. The NLCD data underpin a wide array of applications, including biodiversity conservation, urban planning, hydrology, human health studies, and natural hazard assessment. As new global and high-resolution commercial land-cover products emerge, the NLCD continues to distinguish itself through its temporal depth, federal backing, and thematic consistency. Moving forward, the NLCD will maintain its niche as the leading, moderate-resolution, long-term land-cover and land-change dataset for the United States, ensuring continued support for broad national applications while complementing higher-resolution and global-mapping efforts.
","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.25-00121R2","usgsCitation":"Sohl, T.L., Jin, S., Dewitz, J., Wickham, J., Brown, J.F., Stehman, S., Herold, N., Schleeweis, K., Tollerud, H.J., and Deering, C., 2025, Thirty years of the U.S. National Land Cover Database: Impacts and future direction: Photogrammetric Engineering & Remote Sensing, v. 91, no. 10, p. 647-659, https://doi.org/10.14358/PERS.25-00121R2.","productDescription":"13 p.","startPage":"647","endPage":"659","ipdsId":"IP-180474","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":501337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":957183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewitz, Jon 0000-0002-0458-212X","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":222454,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wickham, James","contributorId":140259,"corporation":false,"usgs":false,"family":"Wickham","given":"James","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":957186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":957187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehman, Stephen","contributorId":39747,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","affiliations":[],"preferred":false,"id":957188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herold, Nathaniel","contributorId":140258,"corporation":false,"usgs":false,"family":"Herold","given":"Nathaniel","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":957189,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schleeweis, Karen","contributorId":169308,"corporation":false,"usgs":false,"family":"Schleeweis","given":"Karen","email":"","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":957190,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957191,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Deering, Carol 0000-0003-3565-6264 cdeering@usgs.gov","orcid":"https://orcid.org/0000-0003-3565-6264","contributorId":3001,"corporation":false,"usgs":true,"family":"Deering","given":"Carol","email":"cdeering@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957192,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70272576,"text":"70272576 - 2025 - Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species","interactions":[],"lastModifiedDate":"2025-12-02T20:21:19.673395","indexId":"70272576","displayToPublicDate":"2025-10-01T14:17:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22978,"text":"Lakeline Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species","docAbstract":"No abstract available.
","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Lane, R.F., Greer, J.B., Gordon, S.E., Williams, B., and Smalling, K., 2025, Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species: Lakeline Magazine, v. 45, no. 3, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-183051","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":497000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496805,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/lakeline-magazine/"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":950839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":950840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274755,"text":"70274755 - 2025 - Module 4: Basic biology of wetland animals","interactions":[],"lastModifiedDate":"2026-05-29T15:46:16.600889","indexId":"70274755","displayToPublicDate":"2025-10-01T10:39:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5164,"text":"Wetland Science & Practice","active":true,"publicationSubtype":{"id":10}},"title":"Module 4: Basic biology of wetland animals","docAbstract":"An assortment of animals inhabit wetlands, with many invertebrates, amphibians and reptiles, fishes, birds, and some mammals being wetland specialists. Wetlands provide ample water, food, and cover that benefits resident animals, but periodic high floods, frequent drying, and harsh water qualities (low-oxygen, acidic, saline) can stress wetland animals. Animals that rely on wetlands have developed numerous adaptations to cope with these stresses. The animal biodiversity in wetlands is particularly valued by people, from deep historical and cultural connections, to modern ecotourists and bird watchers who observe it and hunters and anglers who appreciate the consumptive resources they provide. Animals such as alligators and beavers create or physically-modify wetland environments; this activity is called ecosystem engineering and makes these animals among the most important organisms to wetland ecology. Wetlands are high in biodiversity and support rich communities of wetland invertebrates, are primary breeding habitats for most amphibians, and nearly all migratory birds rely on wetlands during some part of their annual cycle. The interactions of animals with plants (herbivory, cutting) and each other (predation) strongly shape wetland environments and affect nutrient cycling. Human impacts on wetlands can negatively affect many animals through habitat loss and degradation, resulting in many wetland amphibians, reptiles, and birds being listed as threatened and endangered species. Thus, wetland conservation is vital to conserve many animal species.","language":"English","publisher":"Society of Wetland Scientists","usgsCitation":"Batzer, D., Smith, L.L., Stafford, J.D., Harrison-Day, V., Kucia, S.R., Severud, W.J., and Zhang, Y., 2025, Module 4: Basic biology of wetland animals: Wetland Science & Practice, v. 43, no. 4, p. 307-320.","productDescription":"14 p.","startPage":"307","endPage":"320","ipdsId":"IP-162448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504868,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sws.org/page/wsp2025"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Batzer, Darold","contributorId":369421,"corporation":false,"usgs":false,"family":"Batzer","given":"Darold","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lora L.","contributorId":369425,"corporation":false,"usgs":false,"family":"Smith","given":"Lora","middleInitial":"L.","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":958938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison-Day, Violet","contributorId":369422,"corporation":false,"usgs":false,"family":"Harrison-Day","given":"Violet","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":958935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kucia, Samuel R.","contributorId":369423,"corporation":false,"usgs":false,"family":"Kucia","given":"Samuel","middleInitial":"R.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":958936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severud, William J.","contributorId":369424,"corporation":false,"usgs":false,"family":"Severud","given":"William","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":958937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Youzheng","contributorId":369426,"corporation":false,"usgs":false,"family":"Zhang","given":"Youzheng","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":958940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274044,"text":"70274044 - 2025 - Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird","interactions":[],"lastModifiedDate":"2026-02-24T15:02:57.568821","indexId":"70274044","displayToPublicDate":"2025-10-01T10:07:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird","docAbstract":"Drought, human disturbance, and invasive species are reshaping disturbance regimes and increasing the scale, severity, and frequency of wildfire in many ecosystems around the globe, including the sagebrush steppe of western North America. Recent studies suggested greater sage-grouse (Centrocercus urophasianus) adhere to strong site fidelity in the aftermath of wildfire, remaining inside fire perimeters for nesting and brood rearing despite negative consequences for survival and reproduction. Sage-grouse in Idaho exhibited context-dependent changes to space use after a large, high-severity fire that burned > 40,000 ha, yet the specific behavioral responses to fire and their fitness consequences remain unclear. We used data collected from 269 hens over a 6-year period under a multi-level before-after-control-impact design to test the hypothesis that sage-grouse mitigated fitness consequences of high-severity wildfire through adaptive behavioral responses and spatial redistribution.
We tested predictions deduced from our hypothesis at the population and individual levels using behavioral, demographic, and life history data, including nesting metrics, brood-rearing metrics, hen survival, and body mass at capture. Fifteen of 16 predictions were supported, demonstrating that post-fire space use and avoidance of the burn was adaptive and helped mitigate fitness effects of the fire. Short-term consequences included elimination of nesting and brood rearing habitat and subsequent shifts to the distribution of usable space. Yet fitness consequences were minimal because of behavioral flexibility employed by hens during nesting and brood rearing.
Behavioral responses to wildfire by sage-grouse are more flexible than has been described, and sage-grouse demonstrated resilience by rapidly adapting space use to avoid short-term consequences of catastrophic fire when high-quality habitat remained adjacent to the burn and within their seasonal range. Our results imply behavioral and fitness consequences of fire are context-dependent and likely impacted by attributes of the fire and surrounding landscape after disturbance. Furthermore, among-study differences in behavioral and fitness outcomes of sage-grouse after fire supported underappreciated predictions from both fire ecology and site fidelity theory, and suggest conditions where behavioral flexibility should be expressed, and fidelity relaxed, based on severity of disturbance, landscape context, and species mobility.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-025-00391-2","usgsCitation":"Stevens, B.S., Conway, C.J., Roberts, S.B., Englestead, D.K., 2025, Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird: Fire Ecology, v. 21, 54, 26 p., https://doi.org/10.1186/s42408-025-00391-2.","productDescription":"54, 26 p.","ipdsId":"IP-169334","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500603,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00391-2","text":"Publisher Index Page"},{"id":500413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":956282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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 Seattle","active":true,"usgs":true}],"preferred":true,"id":956283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Shane B.","contributorId":338986,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","email":"","middleInitial":"B.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Englestead, Devin K.","contributorId":366830,"corporation":false,"usgs":false,"family":"Englestead","given":"Devin","middleInitial":"K.","affiliations":[{"id":37086,"text":"U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272610,"text":"70272610 - 2025 - Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","interactions":[],"lastModifiedDate":"2025-11-24T16:13:28.896732","indexId":"70272610","displayToPublicDate":"2025-10-01T10:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","docAbstract":"Animal movement influences local transmission and geographic spread of pathogens. Waterfowl are known reservoirs of pathogens, including H5 goose/Guangdong lineage (H5 GsGd) highly pathogenic avian influenza (HPAI). This HPAI virus lineage causes high rates of morbidity and mortality in domestic poultry and many wild bird species. Mallards (Anas platyrhynchos) are a generalist waterfowl species whose habitat largely overlaps with many other waterfowl and are considered effective spillover vectors of HPAI. To investigate the potential contribution of waterfowl to HPAI spillover, we used mallards as a proxy and measured the spatiotemporal overlap of 183 GPS-tagged mallards during 2021–2022 with respect to confirmed wild bird spillover events in United States (U.S.) poultry farms. Additionally, we estimated the probability of HPAI spillover events as a function of mallard overlap and poultry farm type. We found infrequent overlap instances between mallards and poultry farms; however, several of these overlap instances lasted > 5 days and up to 19 days. Population-level overlap with poultry farms was greatest during pre-breeding migration, followed by the breeding season. The probability of HPAI spillover was predicted to be greatest for commercial turkey farms, followed by backyard poultry farms. Importantly, farms overlapped by mallards were more than twice as likely to experience a spillover (i.e., increased risk probability), even in the absence of known mallard infection status at the time of overlap. These findings suggest that mallards (and/or other waterfowl) may be important contributors to HPAI spillover into poultry farms and that additional biosecurity measures may be needed. Because few instances of overlap occurred between mallards and farms with reported spillover events, tagged mallards are likely a proxy for other untagged waterfowl. Further studies of wild waterfowl interactions with poultry farms could improve understanding of how landscape characteristics influence spatial overlap, potentially informing which premises may require enhanced biosecurity measures.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72221","usgsCitation":"Cullen, J.A., Masto, N.M., Sullivan, J.D., Highway, C., Patyk, K.A., McCool, M., Torchetti, M.K., Lantz, K., Poulson, R., Carter, D., Feddersen, J., Cohen, B.S., and Prosser, D.J., 2025, Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events: Ecology and Evolution, v. 15, no. 10, e72221, 14 p., https://doi.org/10.1002/ece3.72221.","productDescription":"e72221, 14 p.","ipdsId":"IP-171232","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72221","text":"Publisher Index Page"},{"id":496831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"northwest 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USA.","active":true,"usgs":false}],"preferred":false,"id":950918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carter, Deborah","contributorId":213914,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","affiliations":[{"id":38928,"text":"University of Georgia Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":950919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feddersen, Jamie","contributorId":329381,"corporation":false,"usgs":false,"family":"Feddersen","given":"Jamie","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":950920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cohen, Bradley S.","contributorId":171513,"corporation":false,"usgs":false,"family":"Cohen","given":"Bradley","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":950921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950922,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70273490,"text":"70273490 - 2025 - Update to a management-focused population viability analysis for North Atlantic right whales","interactions":[],"lastModifiedDate":"2026-01-20T16:12:22.264469","indexId":"70273490","displayToPublicDate":"2025-10-01T10:01:58","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NMFS-NE-337","title":"Update to a management-focused population viability analysis for North Atlantic right whales","docAbstract":"We provide an update to the recently published population viability analysis for North Atlantic right whales (Eubalaena glacialis). The update includes improvements to the reproduction modeling and also shares additional context given evidence of reduced mortality indicated by recent population monitoring. Projections from the analysis are used to quantify simulated population sizes across 100 years and resulting quasi-extinction probabilities (falling below 50 mature females that have proven ability to reproduce) to compare hypothetical scenarios related to management of threats and changing environmental conditions. Under a status quo scenario reflecting conditions of 2019, prior to the enactment of new regulations by the U.S. and Canada, the North Atlantic right whale population would be expected to continue to fall, with a median decline of 88 percent (95% projection interval, –98 percent to –45 percent change) and a probability of falling below 50 proven females (i.e., quasi-extinction) of 0.988 at 100 years. In hypothetical scenarios that fully remove each of the three primary threats to right whales one at a time, removal of the entanglement threat alone reduces the probability of falling below 50 proven females in 100 years to 0.070; removal of the vessel strike threat alone reduces it to 0.522; and a return to historical prey abundance patterns (pre-2010), but with both human-related threats still in place, reduces it to 0.524. Although additional baseline scenarios were explored to examine the potential effects of recent regulations, we found that the most up-to-date mortality rates (2020–2022) are similar to those simulated under a 70% reduction in severe entanglement injury compared to rates estimated during 2013–2019. If management measures implemented in the U.S. and Canada continue to reduce mortality, the estimated probability of falling below 50 proven females in 100 years is 0.234. Our model continues to provide a tool for assessing North Atlantic right whale recovery.
","language":"English","publisher":"NOAA","doi":"10.25923/0xdp-8s42","usgsCitation":"Linden, D., Runge, M., Hostetler, J.A., Borggaard, D., Garrison, L., Knowlton, A., Lesage, V., Williams, R., and Pace III, R., 2025, Update to a management-focused population viability analysis for North Atlantic right whales: NOAA Technical Memorandum NMFS-NE-337, 29 p., https://doi.org/10.25923/0xdp-8s42.","productDescription":"29 p.","ipdsId":"IP-181288","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Linden, Daniel","contributorId":199671,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","affiliations":[],"preferred":false,"id":953918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":214737,"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":953919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":953920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borggaard, Diane","contributorId":244380,"corporation":false,"usgs":false,"family":"Borggaard","given":"Diane","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrison, Lance","contributorId":244391,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953922,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":953923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lesage, Véronique","contributorId":352276,"corporation":false,"usgs":false,"family":"Lesage","given":"Véronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":953924,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":953925,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pace III, Richard","contributorId":365205,"corporation":false,"usgs":false,"family":"Pace III","given":"Richard","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":953926,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70266468,"text":"70266468 - 2025 - Extracting lymph nodes for Chronic Wasting Disease (CWD) testing","interactions":[],"lastModifiedDate":"2026-06-05T15:01:48.581949","indexId":"70266468","displayToPublicDate":"2025-10-01T09:59:16","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":24804,"text":"Eagles Nest Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Extracting lymph nodes for Chronic Wasting Disease (CWD) testing","docAbstract":"No abstract available.
","language":"English","publisher":"Native American Fish and Wildlife Society","usgsCitation":"Chiavacci, S.J., 2025, Extracting lymph nodes for Chronic Wasting Disease (CWD) testing: Eagles Nest Newsletter, no. Fall 2025, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-178820","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":505093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Fall 2025","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":936054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272617,"text":"70272617 - 2025 - Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska","interactions":[],"lastModifiedDate":"2025-11-25T14:13:35.991175","indexId":"70272617","displayToPublicDate":"2025-10-01T09:44:09","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska","docAbstract":"This study employs a multi-method analytical approach to characterize the mineralogical, geochemical, and textural properties of fault rocks from the Pogo gold mine in the Yukon-Tanana Upland, central Alaska. Specifically, we examine cataclasites, to document the structural and geochemical evolution of shear zones and their associations with gold mineralization. \nTo investigate the shear zone, we integrate portable X-ray fluorescence (pXRF), scanning electron microscopy-based automated mineralogy (SEM-AM), X-ray diffraction (XRD), and high-resolution micro-X-ray fluorescence (micro-XRF) mapping. These methods collectively provide insights into bulk and trace element chemistry, mineralogical composition, and deformation-related textures across multiple scales. Handheld pXRF enables rapid geochemical screening, guiding SEM-AM and XRD analyses to ensure consistent mineralogical interpretation. X-ray diffraction identifies and quantifies crystalline phases, while SEM-AM produces high-resolution mineral maps, revealing mineral abundances, grain-scale textures, and gold associations. Micro-XRF mapping further refines our understanding by showing visual trace element distributions at sub-millimetre resolution.\nBy integrating these techniques, we improve our understanding of the nature and geochemistry of Pogo shear zones, their role in gold mineralization, and support metallurgical processing strategies. This approach enhances exploration models and resource characterization for structurally complex gold deposits.","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Pfaff, K.I., Kasprowicz, F., Caine, J., Benzel, W., and Lowers, H.A., 2025, Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1157-1160.","productDescription":"4 p.","startPage":"1157","endPage":"1160","ipdsId":"IP-176764","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496856,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":496827,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Katharina I. 0000-0002-6605-2722","orcid":"https://orcid.org/0000-0002-6605-2722","contributorId":362430,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","middleInitial":"I.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprowicz, Filip","contributorId":363040,"corporation":false,"usgs":false,"family":"Kasprowicz","given":"Filip","affiliations":[{"id":86594,"text":"Center to Advance the Science of Exploration to Reclamation in Mining, Department of Geology and Geological Engineering, Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":950952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":950953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950955,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272182,"text":"70272182 - 2025 - One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","interactions":[],"lastModifiedDate":"2025-11-18T15:41:36.861691","indexId":"70272182","displayToPublicDate":"2025-10-01T09:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1088,"text":"Buffalo Environmental Law Journal","active":true,"publicationSubtype":{"id":10}},"title":"One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","docAbstract":"The U.S. Environmental Protection Agency (EPA) regulates pesticide use in the United States. The EPA is charged by the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) with ensuring that a pesticide will not cause unreasonable adverse effects on the environment. Incident reports (documentation of exposure and injury from pesticide applications) can serve as a reality check on the pesticide registration decisions made by the EPA scientists and risk managers. The EPA collects incident reports on human, domestic animal, and ecological injury. The FIFRA section 6(a)(2) rule requires the pesticide registrant (generally, the company or other entity that wishes to market the pesticide, hereafter registrant) to submit such data to the EPA.
The EPA’s ecological incident category includes injuries to aquatic (fish), terrestrial (wildlife), other non-target organisms (ONT, e.g., invertebrates) and plants. Our document focuses on the fish and wildlife ecological incidents that are submitted by registrants. We critique the application of the FIFRA section 6(a)(2) rule that controls the quality and quantity of ecological incident data that the EPA receives from registrants. We conclude that the section 6(a)(2) provisions can impede the transfer of ecological incident data from registrant to the EPA. Consequently, detailed data for many fish and wildlife incidents may never reach the EPA, and policies and decisions may be formulated in the absence of these data.
","language":"English","publisher":"University at Buffalo School of Law","usgsCitation":"Vyas, N.B., and Palmer, C., 2025, One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2): Buffalo Environmental Law Journal, v. 31, 63 p.","productDescription":"63 p.","ipdsId":"IP-154414","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496572,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.law.buffalo.edu/belj/vol31/iss1/","linkFileType":{"id":5,"text":"html"}}],"volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Cynthia","contributorId":362357,"corporation":false,"usgs":false,"family":"Palmer","given":"Cynthia","affiliations":[{"id":86509,"text":"Moms Clean Air Force, c/o Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":950359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275124,"text":"70275124 - 2025 - Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","interactions":[],"lastModifiedDate":"2026-04-16T14:39:30.495872","indexId":"70275124","displayToPublicDate":"2025-10-01T09:30:41","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24003,"text":"STAC Publication","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"25-005","title":"Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","docAbstract":"The Chesapeake Bay and its watershed (hereafter “Chesapeake Bay region”) have been the focus of extensive restoration efforts for several decades. These restoration efforts are guided by the Chesapeake Bay Watershed Agreement (Chesapeake Executive Council 2014) which outlines 10 goals and 31 measurable outcomes. The Chesapeake Bay is globally recognized as a model for coastal restoration due to long-term investments in monitoring, modeling, implementation and research by the Chesapeake Bay Program (CBP) partnership. These monitoring network spans tidal and non-tidal regions and provides data across multiple scales. Artificial intelligence (AI), particularly machine-learning (ML) and deep learning (DL), has emerged as a powerful tool for analyzing large, complex datasets. These techniques have gained widespread adoption across various disciplines, including ecology, hydrology, and environmental science. In the Bay context, AI/ML is increasingly being used to explore drivers of environmental change, analyze system dynamics, and predict conditions in areas with limited monitoring.
The CBP partnership, particularly its Scientific and Technical Advisory Committee (STAC), has increasingly recognized the growing role of AI/ML in watershed and estuarine management. Recent Chesapeake Community Research Symposium sessions and initiatives such as the Chesapeake Global Collaboratory highlight increasing regional momentum to apply big data and AI/ML for environmental solutions. Together, these developments underscore the timely need to explore how AI/ML can help advance Chesapeake Bay restoration and management.
This STAC workshop, titled “Leveraging Artificial Intelligence and Machine learning to Advance Chesapeake Bay Research and Management: A review of status, challenges, and opportunities,” was held from February 24-25, 2025, in Edgewater, Maryland to bring together over 50 federal, state, and academic scientists and partners to synthesize the current state of AI/ML applications and identify research gaps in Chesapeake Bay research and management. The workshop focused on three main objectives:
1. Summarize recent AI/ML applications and lessons learned in both tidal and nontidal areas of the Chesapeake Bay region.
2. Identify challenges and gaps in applying AI/ML approaches to Chesapeake Bay data. Such challenges and gaps may include data limitations, harmonization issues, ineffective communication of AI/ML insights, and a lack of coordination among research and management institutions.
3. Develop recommendations and identify opportunities for leveraging AI/ML to address issues across the Chesapeake Bay region. Key areas of focus may include generating new information to support watershed management, delivering AI/MLgenerated insights to managers in a clear and actionable way, and fostering greater collaboration among stakeholders within the CBP Partnership.
Workshop participants engaged in science presentations and breakout sessions to develop recommendations for advancing the integration of AI/ML techniques into research and management across the Chesapeake Bay region. By synthesizing current applications, identifying challenges, and exploring new opportunities, the workshop has provided valuable insights and recommendations for better leveraging AI/ML approaches to support the success of Bay restoration efforts. Together, these recommendations provide a roadmap for enhancing data-driven, science-based decision making aligned with the goals and outcomes of the Chesapeake Bay Watershed Agreement.
","language":"English","publisher":"Chesapeake Bay Scientific and Technical Advisory Committee","usgsCitation":"Zhang, Q., Baker, M., Bertani Isabella, Dennison, B., Linker, L.C., Maloney, K.O., Sabo, R.D., Shen, C., Shenk, G.W., Van Meter, K., and Cole, M., 2025, Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities: STAC Publication 25-005, iv, 41 p.","productDescription":"iv, 41 p.","ipdsId":"IP-183399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502893,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeake.org/stac/publications/"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.36125255424335,\n 39.65726350039506\n ],\n [\n -75.34821936094777,\n 39.65726350039506\n ],\n [\n -75.34821936094777,\n 36.790256780123244\n ],\n [\n -77.36125255424335,\n 36.790256780123244\n ],\n [\n -77.36125255424335,\n 39.65726350039506\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian","contributorId":331417,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":959575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, 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2025 - Acoustic response of bats to the Brood X Periodical Cicada (Magicicada spp.) emergence","interactions":[],"lastModifiedDate":"2025-12-15T15:16:27.278825","indexId":"70273091","displayToPublicDate":"2025-10-01T09:13:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19892,"text":"Journal of North American Bat Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Acoustic response of bats to the Brood X Periodical Cicada (Magicicada spp.) emergence","title":"Acoustic response of bats to the Brood X Periodical Cicada (Magicicada spp.) emergence","docAbstract":"Periodical cicada emergences can positively affect vertebrate reproduction and breeding behavior, yet this response is not well studied for bats. We examined the acoustic response of 6 species/phonic groups of bats in 2021 to the emergence of Brood X periodical cicadas, along the Potomac River corridor, in Maryland and Virginia. Using a before-after-control-impact study design, we deployed ultrasonic acoustic detectors during the summers of 2020–2022 within and just outside the range of the cicada emergence to document bat response. We observed significantly more echolocation passes during the 2021 emergence and the year following within the range of cicadas, relative to changes among years outside of the periodical cicada range. Our study demonstrates that periodical cicadas may serve as a resource that causes an increase in bat activity.
","language":"English","publisher":"Eagle Hill Instutute","usgsCitation":"Litterer, A.S., Freeze, S.R., and Ford, W., 2025, Acoustic response of bats to the Brood X Periodical Cicada (Magicicada spp.) emergence: Journal of North American Bat Research, v. 10, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-165279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497510,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/NABRonline/NABRregular.shtml"}],"country":"United States","state":"Maryland, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.58223294377517,\n 39.701947715006554\n ],\n [\n -78.58223294377517,\n 38.979121120266115\n ],\n [\n -77.3562241672517,\n 38.979121120266115\n ],\n [\n -77.3562241672517,\n 39.701947715006554\n ],\n [\n -78.58223294377517,\n 39.701947715006554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Litterer, Amber S.","contributorId":364183,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeze, Samuel R.","contributorId":364184,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":952299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272614,"text":"70272614 - 2025 - Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska","interactions":[],"lastModifiedDate":"2025-11-25T22:13:55.158426","indexId":"70272614","displayToPublicDate":"2025-10-01T09:02:53","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska","docAbstract":"Pogo is a quartz vein hosted, ca. 8 Moz gold deposit. Although it has similarities to orogenic and magmatic-hydrothermal deposits, its origin remains enigmatic. Observations from surface exposures, underground workings, and drill core provide new constraints on quartz vein origins with implications for mineralization. Abundant, largely barren metamorphic segregation quartz veins are found throughout interior Alaska and share characteristics with mineralized quartz veins at Pogo. Pogo quartz veins show crystal plastic deformation fabrics consistent with greenschist to amphibolite facies metamorphism and a lack of internal shear. In contrast, gold in Pogo quartz veins occurs in brittle microfaults and fractures with sulphides such as arsenopyrite and pyrrhotite. Major and minor cataclastic shear zones also exist at Pogo. Cataclastic shear zones commonly cut the mineralized quartz veins and porphyroclasts are dominated by quartz with the same plastic deformation fabrics found in the major Pogo quartz veins. The porphyroclasts, and the carbonaceous clay-rich matrix they sit in, also contain gold indicating that the shear zones postdate quartz and earliest gold deposition. These observations suggest that competency contrasts between the quartz veins and their phyllosilicate-rich host rocks controlled transient permeability formed by late, preferential brittle deformation events localizing sulphide ± gold deposition.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Caine, J., Kreiner, D.C., and Lowers, H.A., 2025, Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska, 18th SGA Biennial Meeting, v. 1, Golden, CO, August 3-7, 2025, p. 285-288.","productDescription":"4 p.","startPage":"285","endPage":"288","ipdsId":"IP-176857","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496820,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":496821,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":950948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":950949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272235,"text":"70272235 - 2025 - A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","interactions":[],"lastModifiedDate":"2025-11-19T15:10:27.951072","indexId":"70272235","displayToPublicDate":"2025-10-01T09:02:45","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","docAbstract":"Occurrences of harmful algal blooms (HABs) in rivers challenge the belief that rivers are not susceptible to HABs because of their short residence times and fluctuating hydrology. Here we present a systematic literature review of predictive and forecasting models for HABs in flowing waters, including rivers, flowing in-stream reservoirs (e.g., run-of-river reservoirs and lock-and-dam systems) and tidal or estuarine systems with riverine processes. The review aimed to understand current and historical modeling approaches for predicting and forecasting river HABs, without restricting to specific taxa, such as cyanobacteria, or modeling endpoints. The review included 162 articles published over nearly 50 years, covering more than 80 rivers worldwide. Eutrophic, non-wadable rivers with in-stream obstruction were commonly modeled, though diverse environmental characteristics were reported. Most articles used algal biomass or chlorophyll as modeling endpoints, with a quarter using novel or unique endpoints. Algal toxins motivated model development in 23% of the articles, however just 5% used algal toxins as an endpoint. Only 6% of the articles modeled benthic HABs; the rest focused on pelagic HABs. There was no standard model used for modeling river HABs. Process-based models were more common (59%) than data-driven approaches (37%), with model formulations ranging from simple to complex, which contrasts with a lake-focused literature review of HAB models that found data-driven models were more common. Models in river settings shared similar input variables as those previously identified for lakes, such as water temperature, nutrients, and light availability. However, streamflow and other transport metrics took prominence in river models compared to lake models. Algal cell physiology (such as growth, predation, and motility) was routinely included as input data or as mathematical formulations in process-based models and these processes were frequently identified as an important predictor by the articles’ authors. Conversely, data-driven models rarely included these processes, instead using predictors related to environmental conditions, such as nutrients, water quality, water temperature, and streamflow. These important proxy predictors have apparent success with modeling overall algal biomass (irrespective of taxa) whereas other factors, such as those related to algal physiology and other biological processes, are likely responsible for more subtle shifts in community composition. These differences highlight the influence of data availability, especially for processes that are difficult, time-consuming, or expensive to measure, on model development and model outcomes, raising questions about the selection of modeling inputs and endpoints. Challenges to advancing river HAB modeling include the lack of site-specific model inputs representing key processes (e.g., photosynthetic parameters and predation rates), overlooked riverine environments like the benthos and side/back-channel areas, lack of information on environmental settings, and poorly reported model performance metrics. This review emphasizes opportunities for advancing river HAB modeling by learning from well-honed estuarine models, supporting current forecasting and operationalization efforts, and developing common datasets for river HAB model development and evaluation.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.09.29.679270","usgsCitation":"Murphy, J.C., Gorney, R.M., Lucas, L., Zwart, J.A., and Graham, J.L., 2025, A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters: BioRxiv, https://doi.org/10.1101/2025.09.29.679270.","productDescription":"52 p.","ipdsId":"IP-179513","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496741,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.09.29.679270","text":"External Repository"},{"id":496628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorney, Rebecca M. 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucas, Lisa V. 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","middleInitial":"V.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":950537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273492,"text":"70273492 - 2025 - Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","interactions":[],"lastModifiedDate":"2026-01-21T14:41:25.091826","indexId":"70273492","displayToPublicDate":"2025-10-01T09:01:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","title":"Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","docAbstract":"Abnormalities were observed in the testes of common carp Cyprinus carpio collected from Willow Beach, Arizona, USA, a site on the lower Colorado River, downstream of Lake Mead and Hoover Dam. Testicular tissue collected from this site in 2003 exhibited numerous large, pigmented macrophage aggregates (MAs) and a novel, previously undescribed hypertrophy and proliferation of putative Sertoli cells. In testes samples collected in 2007, numerous testicular MA, testicular oocytes, and proliferations of Sertoli cells were observed. Three carp collected in 2007 also had raised nodules within the testes, and, microscopically, seminoma, spermatogenic seminoma, and mixed stromal cell–germ cell neoplasms were diagnosed. Several risk factors for these adverse effects were identified. Carp collected at this site in 2003 ranged in age from 35 to 54 years and had the oldest mean age of the thirteen sites sampled within the Colorado River basin. This site also has an unusual thermal regime when compared to other sites studied in Lake Mead and upstream sites, in that temperatures varied little over the seasons (amplitude around 1.5 °C) and barely reached 15 °C. Additionally, carp from this site had the highest total polychlorinated biphenyl (PCB) body burden. Hence, advanced age, low water temperature, and exposure to PCBs and other environmental contaminants may contribute to the observed abnormalities, highlighting the complex environmental factors initiating pre-neoplastic and neoplastic changes in wild carp.
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