The DeepFaune New England model classifies wildlife species in trail camera images, identifying 24 taxa from northeastern North America with high (97%) accuracy. The model was adapted from the DeepFaune model for identifying European wildlife, demonstrating the practicality of transfer learning across continents. The majority of training data is openly licensed, and the model itself is open source, enabling easy integration into camera trapping workflows. The open source software is available at (https://code.usgs.gov/vtcfwru/deepfaune-new-england), and has been further integrated into the PyTorch-Wildlife framework.
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ringed seal whelping”","docAbstract":"The spring is a critical period when polar bears (Ursus maritimus Phipps, 1774) are thought to have peak access to seals and acquire the majority of their annual energy requirements during a period of hyperphagia. Pagano et al. (Pagano A.M., Atkinson S.N., and Archer L.C. 2025. Arctic Science.11:1-14. doi:10.1139/as-2024-0051) examined the intra-seasonal changes in body mass of 31 polar bears on the spring sea ice and found polar bears exhibited a feast or famine lifestyle. A lack of a relationship between changes in body mass and recapture date suggested that many bears had not entered their primary period of hyperphagia. Pilfold extended our discussion to conclude that our data show polar bear hyperphagia begins after the period of ringed seal (Pusa hispida Schreber, 1775) whelping, and discusses this in relation to previous work on the timing of polar bear seal kills. Here, we reassess whether our data provide information on the timing of polar bear hyperphagia. We find no relationships in our data to conclude when polar bear hyperphagia begins. Instead, our data highlight the conflicting pressures individuals face between the spring breeding season, when time spent foraging is often reduced to engage in mating behavior, and the spring hyperphagia period, when the bulk of annual energy requirements are met.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2025-0057","usgsCitation":"Pagano, A.M., Atkinson, S.N., and Archer, L.C., 2025, Reply to the discussion by Pilfold “Polar bear mass change confirms hyperphagia follows ringed seal whelping”: Arctic Science, v. 11, p. 1-3, https://doi.org/10.1139/as-2025-0057.","productDescription":"3 p.","startPage":"1","endPage":"3","ipdsId":"IP-181354","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2025-0057","text":"Publisher Index Page"},{"id":496644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":950461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen N.","contributorId":362432,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","middleInitial":"N.","affiliations":[{"id":86523,"text":"26104 Melrose Road, Cooks Creek, MB R5M 0B9, Canada","active":true,"usgs":false}],"preferred":false,"id":950462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archer, Louise C.","contributorId":362433,"corporation":false,"usgs":false,"family":"Archer","given":"Louise","middleInitial":"C.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":950463,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272102,"text":"fs20253045 - 2025 - Using monitoring and partnerships to provide management-relevant information about Chesapeake Bay rivers","interactions":[],"lastModifiedDate":"2026-02-03T16:27:44.999419","indexId":"fs20253045","displayToPublicDate":"2025-11-14T09:52:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3045","displayTitle":"Using Monitoring and Partnerships to Provide Management-Relevant Information about Chesapeake Bay Rivers","title":"Using monitoring and partnerships to provide management-relevant information about Chesapeake Bay rivers","docAbstract":"The lands and waters of the Chesapeake Bay watershed provide more than $100 billion in economic benefits- an amount that is expected to increase by achieving the region’s clean-water goals. 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U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Massachusetts extends from the mountains of the Appalachian system in the west of the State to the sandy beaches and rocky shorelines of the Atlantic coast in the east. Inland topographic data support a wide range of important activities, including geologic mapping, transportation planning, forest and wildlife management, quantifying ecological services, water supply protection, commonwealth-wide infrastructure planning, local site planning, and flood-plain management. Nearshore bathymetry can be used to support coastal portions of the Commonwealth by addressing the combined threats of ocean warming, strong storm surge, and rising sea levels. The maintenance and (or) expansion of Massachusetts ports (for instance, Boston, New Bedford) and Cape Cod sediment management depends upon the accurate mapping of bathymetry and the frequent influx of sediment and redeposition. Critical applications that address the broad range of requirements depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey (USGS) in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and Massachusetts. The status of available and in-progress 3DEP baseline lidar data in Massachusetts is shown in figure 1. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 (https://www.usgs.gov/3dep/lidarspec) or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $1.23 million in new benefits annually to Massachusetts. The top 10 Massachusetts business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown in table 2.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Terrestrial environmental DNA (eDNA) techniques have been proposed as a means of sensitive, non-lethal pollinator monitoring. To date, however, no studies have provided evidence that eDNA methods can achieve detection sensitivity on par with traditional pollinator surveys. Using a large-scale dataset of eDNA and corresponding net surveys, we show that eDNA methods enable sensitive, species-level characterisation of whole bumble bee communities, including rare and critically endangered species such as the rusty patched bumble bee (RPBB; Bombus affinis). All species present in netting surveys were detected within eDNA surveys, apart from two rare species in the socially parasitic subgenus Psithyrus (cuckoo bumble bees). Further, for rare non-parasitic species, eDNA methods exhibited similar sensitivity relative to traditional netting. Compared with flower eDNA samples, sequenced leaf surface eDNA samples resulted in significantly lower rates of Bombus detection, and these detections were likely attributable to high rates of background eDNA on environmental surfaces, perhaps due to airborne eDNA or eDNA movement during rainfall events. Lastly, we found that eDNA-based frequency of detection across replicate surveys was strongly associated with net-based measures of abundance across site visits. We conclude that the COI-based metabarcoding method we present is cost-effective and highly scalable for quantitative characterisation of at-risk bumble bee communities, providing a new approach for improving our understanding of species habitat associations.
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This cross-scale,\ncross-landscape, and cross-system approach tracked fractional land cover changes and applied regional model calibration. Results show average terrestrial and aquatic carbon sinks of +110 ± 37 and +19 ± 0.5 teragrams of carbon per year, respectively. The terrestrial carbon sink, showing no clear trend, peaked in the 1990s, with more years as a carbon source since 2000, contradicting recent national and global studies. Land change had the largest impact (−70 ± 5.5 teragrams of carbon per year), exceeding impacts of climate (−33 ± 48 teragrams of carbon per year), wildfire (−7.7 ± 2.4 teragrams of carbon per year), and erosion transport (−1.9 ± 0.13 teragrams of carbon per year). The positive CO2 fertilization effect (+69 ± 12 teragrams of carbon per year) was insufficient to maintain the carbon sink strength. Our framework\nreveals key paths of carbon loss, with implications for carbon budget and energy policies in the United States and beyond.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adx7823","usgsCitation":"Liu, J., Sleeter, B., Zhu, Z., Cochrane, M.A., Zhou, Q., Wang, B., Domke, G., Selmants, P., Windham-Myers, L., Zhu, Q., Wilson, T., Byrd, K., Ward, E., Sohl, T., Hawbaker, T., Zhang, Z., Soulard, C., Wickland, K., and Striegl, R.G., 2025, Land change, fire, and climate weaken carbon sink in the conterminous U.S.: Science Advances, v. 11, no. 46, eadx7823, 16 p., https://doi.org/10.1126/sciadv.adx7823.","productDescription":"eadx7823, 16 p.","ipdsId":"IP-156977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":496712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adx7823","text":"Publisher Index 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Canada","active":true,"usgs":false}],"preferred":false,"id":949990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":949991,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Byrd, Kristin 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":172431,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":949992,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":217389,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949993,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":339876,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":949994,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":222615,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":949995,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zhang, Zhen 0000-0003-0899-1139","orcid":"https://orcid.org/0000-0003-0899-1139","contributorId":149173,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":949996,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Soulard, Christopher 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":216394,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":949997,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":206313,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":949998,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":949999,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70272625,"text":"70272625 - 2025 - Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA","interactions":[],"lastModifiedDate":"2026-02-10T13:31:20.339327","indexId":"70272625","displayToPublicDate":"2025-11-12T08:45:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA","docAbstract":"Basin morphometry, climate and geology control how a hydrological network evolves over time, controlling the efficiency of weathering of elements from geological materials, and ultimately the input of sediment and dissolved constituents to river systems. Exceedances to the Navajo Nation surface water quality standards for trace metals have been reported in the San Juan River watershed. Because metals are transported adsorbed to fine-grain sediment, the identification of areas with elevated sources of trace metals and/or areas with increased erosion and sediment transport potential is an important first step in protecting water quality. Physical factors such as elevation, slope, relief and stream order were used to quantify morphometric parameters that effect the contribution of trace metals into the stream network. By correlating these parameters with water quality data that were collected from tributaries along the San Juan River, we identified statistically significant regressions between morphometric parameters and total Al, Pb, U, Fe and Mn in surface water. Positive correlations with trace metals include tributary drainage basin perimeter, pour point elevation and total number of streams, while negative correlations include stream length ratio, ruggedness number and longest basin axis. Stream reach measurements within geological units that contain known trace metal constituents reveal that Gallegos Canyon and Desert Creek are the most susceptible to sediment mobilization and transport, while other tributary drainage basins, such as Desert, Recapture and Salt creeks, are associated with naturally elevated concentrations of Al, As, Pb and U.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-037","usgsCitation":"Miltenberger, K.E., Shephard, Z., Mixon, R., Blake, J., Chavarria, S., and Yager, D., 2025, Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-037, 13 p., https://doi.org/10.1144/geochem2024-037.","productDescription":"geochem2024-037, 13 p.","ipdsId":"IP-165506","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":496901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"San Juan River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111,\n 38\n ],\n [\n -111,\n 35.5\n ],\n [\n -106,\n 35.5\n ],\n [\n -106,\n 38\n ],\n [\n -111,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Miltenberger, K. E. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":243647,"corporation":false,"usgs":true,"family":"Miltenberger","given":"K.","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shephard, Zachary 0000-0003-2994-3355 zshephard@usgs.gov","orcid":"https://orcid.org/0000-0003-2994-3355","contributorId":187680,"corporation":false,"usgs":true,"family":"Shephard","given":"Zachary","email":"zshephard@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavarria, Shaleene 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":222578,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":951021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273677,"text":"70273677 - 2025 - A hidden heelsplitter: Distribution of an undescribed endemic freshwater mussel in the Barrens Plateau","interactions":[],"lastModifiedDate":"2026-01-22T15:55:29.209306","indexId":"70273677","displayToPublicDate":"2025-11-11T09:48:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A hidden heelsplitter: Distribution of an undescribed endemic freshwater mussel in the Barrens Plateau","docAbstract":"Malacologists generally acknowledge that the Alasminota holstonia (Tennessee Heelsplitter) populations in the Caney Fork, Elk, and Duck river drainages in the Barrens Plateau region of middle Tennessee likely represent a closely related, but distinct, species, collectively referred to as Alasminota sp. (Barrens Heelsplitter). Recent surveys indicate that the species persists in at least 5 streams: Collins River, Pocahontas Branch, Witty Creek, and Pepper Hollow Branch in the Caney Fork River drainage and Little Duck River in the Duck River drainage, with evidence of recruitment in 2 of these streams. These findings suggest a restricted distribution and highlight the need for taxonomic assessment through genetic analysis. If elevated to species status, the Barrens Heelsplitter would represent a narrow endemic that may require conservation attention, underscoring the ecological significance of Tennessee's Barrens Plateau Region.
","language":"English","publisher":"BioOne","doi":"10.1656/058.024.0sp1302","usgsCitation":"Womble, K.I., Rosenberger, A.E., and Henderson, A.R., 2025, A hidden heelsplitter: Distribution of an undescribed endemic freshwater mussel in the Barrens Plateau: Southeastern Naturalist, v. 24, no. sp13, p. 17-26, https://doi.org/10.1656/058.024.0sp1302.","productDescription":"10 p.","startPage":"17","endPage":"26","ipdsId":"IP-181065","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Barrens Plateau region","volume":"24","issue":"sp13","noUsgsAuthors":false,"publicationDate":"2025-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Womble, Kristin I.","contributorId":365425,"corporation":false,"usgs":false,"family":"Womble","given":"Kristin","middleInitial":"I.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":954285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":954286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Andrew R.","contributorId":365426,"corporation":false,"usgs":false,"family":"Henderson","given":"Andrew","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272251,"text":"70272251 - 2025 - Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","interactions":[],"lastModifiedDate":"2025-11-21T17:30:22.295666","indexId":"70272251","displayToPublicDate":"2025-11-11T08:32:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5532,"text":"Journal of Caribbean Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","title":"Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","docAbstract":"Pterodroma hasitata, the Black-capped Petrel (locally known as Diablotin), is the only extant Pterodroma petrel nesting in the Caribbean. The species is listed as globally Endangered by the IUCN and was recently listed as endangered under the U.S. Endangered Species Act. Pterodroma hasitata show a phenotypic gradient, ranging from a darker, smaller form to a paler, heavier form, that is reflected in a strong genetic structure. This phylogenetic divergence suggests the existence of at least two distinct breeding populations. We report on pre-breeding movements of two male Pterodroma hasitata, one of each form, tracked by satellite from non-breeding areas in Gulf Stream waters of the western North Atlantic Ocean to breeding locations in Hispaniola in late 2019. Based on a combination of tracking locations, location error classes, battery voltage, and satellite communication schedules, we infer that the light-form petrel visited a nest in central Dominican Republic during 2 to 8 October and 9 to 15 October, and the dark form visited a nest in southeastern Haiti during 9 to 22 November and 29 November to 3 December. This information supports earlier suggestions that Pterodroma hasitata forms breed in allochrony and in allopatry, both of which may be a driver of speciation.
","language":"English","publisher":"BirdsCaribbean","doi":"10.55431/jco.2025.38.59-66","usgsCitation":"Satgé, Y.G., Patteson, J.B., Keitt, B.S., Gaskin, C.P., and Jodice, P.G., 2025, Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin): Journal of Caribbean Ornithology, v. 38, p. 59-66, https://doi.org/10.55431/jco.2025.38.59-66.","productDescription":"8 p.","startPage":"59","endPage":"66","ipdsId":"IP-172425","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496755,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55431/jco.2025.38.59-66","text":"Publisher Index Page"},{"id":496685,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Hatteras","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.73141232128476,\n 35.43896398098414\n ],\n [\n -75.73141232128476,\n 34.94563549138148\n ],\n [\n -75.34437447029681,\n 34.94563549138148\n ],\n [\n -75.34437447029681,\n 35.43896398098414\n ],\n [\n -75.73141232128476,\n 35.43896398098414\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2025-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":362516,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan","middleInitial":"G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patteson, J. Brian","contributorId":362517,"corporation":false,"usgs":false,"family":"Patteson","given":"J.","middleInitial":"Brian","affiliations":[{"id":83919,"text":"Seabirding Pelagic Trips","active":true,"usgs":false}],"preferred":false,"id":950578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keitt, Bradford S.","contributorId":362520,"corporation":false,"usgs":false,"family":"Keitt","given":"Bradford","middleInitial":"S.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":950579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaskin, Chris P.","contributorId":362522,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris","middleInitial":"P.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":950580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272757,"text":"70272757 - 2025 - Megafaunal community structure on ferromanganese and phosphorite hardgrounds in the Southern California Borderland","interactions":[],"lastModifiedDate":"2025-12-08T16:27:21.252344","indexId":"70272757","displayToPublicDate":"2025-11-07T10:22:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Megafaunal community structure on ferromanganese and phosphorite hardgrounds in the Southern California Borderland","docAbstract":"The Southern California Borderland (SCB) is a topographically complex region on the active continental margin that hosts varied hardground habitats, including ferromanganese (FeMn) crusts and phosphorites, marine minerals being considered for resource extraction. The SCB is influenced by seasonal upwelling and terrestrial inputs, and has a well-defined oxygen-minimum zone (OMZ). We analyzed megafaunal community composition, density, and diversity across 41 ROV video transects at 10 SCB hard substrate sites spanning depth (378–2765 m), temperature (1.79–7.96 °C), and oxygen (3.91–105.67 μM) gradients, with varying rock types (FeMn crusts, phosphorites, other rocks). We counted 32,426 individuals representing 146 unique taxa over a total area of 21,935 m2. Echinodermata contributed 48 % of the total abundance; Cnidaria 24 %; Porifera 13 %; Annelida 6 %; Arthropoda 6 %; Chordata 2 %; Mollusca, Foraminifera, and Hemichordata <1 %. Megafauna communities showed clear heterogeneity, with density, diversity, and community composition varying among transects within sites and across sites. Rock type recorded no influence on megafaunal density, but habitats that included FeMn crusts had higher diversity and distinct taxonomic composition. Location, depth, and oxygen were the most important variables explaining variance among megafaunal communities, with distinct communities formed at deeper depths and within the OMZ. This study provides baseline information about the megafauna inhabiting SCB hardgrounds, particularly those associated with minerals considered for their resource potential. It extends existing documentation of such communities to greater depths, reveals increased representation of sponges and corals below 1000 m, and highlights the variability within and among deep-sea megafaunal communities, offering context for informed policy decisions.
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Despite an ever‐growing library of ground‐breaking studies, questions remain about the potential of fiber‐optic sensing technologies as tools for advancing if not revolutionizing earthquake‐hazards‐related research, monitoring, and early warning systems. A working group convened to explore these topics; we comprehensively examined the application of fiber optics in various aspects of earthquake hazards, encompassing earthquake source processes, crustal imaging, data archiving, and technological challenges. There is great potential for fiber‐optic systems to advance earthquake monitoring and understanding, but to fully unlock their capabilities requires continued progress in key areas of research and development, including instrument testing and validation, increased dynamic range for applications focused on larger earthquakes, and continued improvement in subsurface and source imaging methods. A key current stumbling block results from the lack of clear data archiving requirements, and we propose an initial strategy that balances data volume requirements with preserving key data for a broad range of future studies. In addition, we demonstrate the potential for fiber‐optic sensing to impact monitoring efforts by documenting the data completeness in a number of long‐term experiments. Finally, we outline the features of a instrument testing facility that would enable progress toward reliable and standardized distributed acoustic sensing data. Overcoming these current obstacles would facilitate progress in fiber‐optic sensing and unlock its potential application to a broad range of earthquake hazard problems.
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science","interactions":[],"lastModifiedDate":"2025-12-22T15:43:55.261881","indexId":"70273219","displayToPublicDate":"2025-11-07T08:29:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Potential for continental scientific drilling to inform fault mechanics and earthquake science","docAbstract":"Our understanding of fault mechanics and earthquake processes remains limited, largely due to minimal direct observations near active faults at seismogenic depths. This lack of data restricts our ability to accurately assess and mitigate both natural and human-induced seismic hazards. However, recent advancements in drilling capabilities and downhole sensing technologies offer an opportunity: the ability to observe the physical conditions within a volume near active fault zones. In this contribution, we highlight how scientific drilling can provide access to the near-fault environment, enabling measurements of the stress, temperature, fluid pressure, and rock properties at depths where ruptures initiate, propagate, and arrest. These observations are essential to refine models of earthquake nucleation and dynamic rupture, bridging gaps between laboratory experiments, numerical simulations, and surface observations. These insights can advance fundamental understanding in earthquake science but also support the development of more effective seismic hazard assessments and risk mitigation strategies.
","language":"English","publisher":"McGill University","doi":"10.26443/seismica.v4i2.1700","usgsCitation":"Cochran, E.S., Zakharova, N., Carpenter, B., Kolawole, F., Hayman, N.W., Sone, H., Schmitt, D.R., Eichhubl, P., Ellsworth, W., Guglielmi, Y., Hickman, S.H., and Tobin, H.J., 2025, Potential for continental scientific drilling to inform fault mechanics and earthquake science: Seismica, v. 4, no. 2, 1700, 8 p., https://doi.org/10.26443/seismica.v4i2.1700.","productDescription":"1700, 8 p.","ipdsId":"IP-178194","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i2.1700","text":"Publisher Index Page"},{"id":497870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":952767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zakharova, Natalia","contributorId":364486,"corporation":false,"usgs":false,"family":"Zakharova","given":"Natalia","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":952768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Brett","contributorId":193685,"corporation":false,"usgs":false,"family":"Carpenter","given":"Brett","affiliations":[],"preferred":false,"id":952769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolawole, Folarin","contributorId":364489,"corporation":false,"usgs":false,"family":"Kolawole","given":"Folarin","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":952770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayman, Nicholas W.","contributorId":364491,"corporation":false,"usgs":false,"family":"Hayman","given":"Nicholas","middleInitial":"W.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":952771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sone, Hiroki","contributorId":364494,"corporation":false,"usgs":false,"family":"Sone","given":"Hiroki","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":952772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmitt, Douglas R.","contributorId":364497,"corporation":false,"usgs":false,"family":"Schmitt","given":"Douglas","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eichhubl, Peter","contributorId":364500,"corporation":false,"usgs":false,"family":"Eichhubl","given":"Peter","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":952774,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ellsworth, William","contributorId":364503,"corporation":false,"usgs":false,"family":"Ellsworth","given":"William","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":952775,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Guglielmi, Yves","contributorId":364506,"corporation":false,"usgs":false,"family":"Guglielmi","given":"Yves","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":952776,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952777,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tobin, Harold J.","contributorId":350743,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold","middleInitial":"J.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":952778,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70272084,"text":"70272084 - 2025 - Cosmic dust reveals dynamic shifts in central Arctic sea-ice coverage over the past 30,000 years","interactions":[],"lastModifiedDate":"2025-11-14T16:12:03.668111","indexId":"70272084","displayToPublicDate":"2025-11-06T10:00:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Cosmic dust reveals dynamic shifts in central Arctic sea-ice coverage over the past 30,000 years","docAbstract":"Arctic sea-ice loss affects biological productivity, sustenance in coastal communities, and geopolitics. Forecasting these impacts requires mechanistic understanding of how Arctic sea ice responds to climate change, but this is limited by scarce long-term records. We present continuous 30,000-year reconstructions of sea-ice coverage from the Arctic Ocean based on measurements of two isotopes, thorium-230 and extraterrestrial helium-3, whose burial ratio changes with sea-ice coverage. We found that the central Arctic was perennially covered by sea ice during the last glaciation. Sea-ice cover retreated during the deglaciation approximately 15,000 years ago, culminating in seasonal sea-ice coverage in the warm early Holocene, before ice coverage increased into the late Holocene. Sea-ice changes closely correlate with biological nutrient consumption, supporting projections of a nutrient-starved central Arctic Ocean with continued sea-ice loss.
","language":"English","publisher":"AAAS","doi":"10.1126/science.adv5767","collaboration":"University of Washington","usgsCitation":"Pavia, F.J., Farmer, J., Gemery, L., Cronin, T.M., Treffkorn, J., and Farley, K.A., 2025, Cosmic dust reveals dynamic shifts in central Arctic sea-ice coverage over the past 30,000 years: Science, v. 390, no. 6773, p. 628-632, https://doi.org/10.1126/science.adv5767.","productDescription":"5 p.","startPage":"628","endPage":"632","ipdsId":"IP-174109","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 89\n ],\n [\n -179.9,\n 70\n ],\n [\n 179.9,\n 70\n ],\n [\n 179.9,\n 89\n ],\n [\n -179.9,\n 89\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"390","issue":"6773","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pavia, Frank J.","contributorId":362104,"corporation":false,"usgs":false,"family":"Pavia","given":"Frank","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Jesse","contributorId":197072,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[],"preferred":false,"id":950017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":950018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, Thomas M. 0000-0001-9522-3992 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-9522-3992","contributorId":304640,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":950019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treffkorn, Jonathan","contributorId":362107,"corporation":false,"usgs":false,"family":"Treffkorn","given":"Jonathan","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":950020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farley, Kenneth A.","contributorId":362108,"corporation":false,"usgs":false,"family":"Farley","given":"Kenneth","middleInitial":"A.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":950021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272686,"text":"70272686 - 2025 - Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","interactions":[],"lastModifiedDate":"2026-01-07T17:34:57.208708","indexId":"70272686","displayToPublicDate":"2025-11-06T09:41:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","title":"Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","docAbstract":"Estimating the distributions of cryptic species is essential for conservation, yet our understanding is hampered by animal behavior and imperfect detection. We developed and implemented a multiscale occupancy survey protocol to estimate the probability of occurrence, probability of being active on the surface, and detection probability of two range-restricted terrestrial salamanders, Scott Bar Salamanders (Plethodon asupak) and Siskiyou Mountains Salamanders (P. stormi), in interior northern California, USA. We established survey sites near locations of historical occurrence of these salamanders and surveyed each site on one to six visits in late fall 2023 and spring 2024. We compared models with different environmental variables for predicting salamander occurrence and surface activity. Much model selection uncertainty in the effects of covariates existed, but the model with most support indicated that Plethodon salamanders in interior northern California were more likely to occur at sites near recent historical occurrences that had longer growing seasons after controlling for elevation and aspect. Plethodon stormi or P. asupak surface activity was higher at night than during the day and was highest when substrates were cool and moist. Our survey protocol was successful for quantifying the effects of site and visit characteristics on P. stormi or P. asupak occurrence and availability; minor modifications will likely improve its utility for providing unbiased inference about salamander occurrence and surface activity.
","language":"English","publisher":"Allen Press","doi":"10.1655/Herpetologica-D-25-00011","usgsCitation":"Halstead, B., Macias, D., Moss, C., Kleeman, P.M., and Rose, J.P., 2025, Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California: Herpetologica, v. 81, no. 4, p. 336-345, https://doi.org/10.1655/Herpetologica-D-25-00011.","productDescription":"10 p.","startPage":"336","endPage":"345","ipdsId":"IP-178431","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497695,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1655/herpetologica-d-25-00011","text":"Publisher Index Page"},{"id":497055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Siskiyou County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 41.9167\n ],\n [\n -123.5,\n 41.5833\n ],\n [\n -122.75,\n 41.5833\n ],\n [\n -122.75,\n 41.9167\n ],\n [\n -123.5,\n 41.9167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macias, Daniel Antonio 0000-0002-4891-3656","orcid":"https://orcid.org/0000-0002-4891-3656","contributorId":349883,"corporation":false,"usgs":true,"family":"Macias","given":"Daniel Antonio","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Casey D.","contributorId":359464,"corporation":false,"usgs":false,"family":"Moss","given":"Casey D.","affiliations":[],"preferred":false,"id":951333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272218,"text":"70272218 - 2025 - Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey","interactions":[],"lastModifiedDate":"2025-11-19T15:47:46.625525","indexId":"70272218","displayToPublicDate":"2025-11-06T09:37:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey","docAbstract":"Silver carp (Hypophthalmichthys nobilis), bighead carp (H. molitrix) and their hybrids, collectively known as bigheaded carps, have been introduced to Lake Balaton, Hungary. The current stock sizes are difficult to assess. We investigated environmental DNA (eDNA) techniques targeted for bigheaded carps, assessed the spatial distribution of eDNA in Lake Balaton, compared eDNA concentrations to environmental variables to assess potential habitat selection based on those variables, and provided an estimate of biomass of bigheaded carps relative to eDNA shedding rates per unit biomass observed in controlled experiments. Water samples were collected from 70 sites in an array across the lake. Biomass estimation was calculated using mean eDNA concentration obtained by quantitative PCR of the samples and previously determined eDNA shedding rates of bigheaded carps under controlled conditions in a laboratory. Concentration of eDNA was highly variable between sites, resulting in wide confidence intervals. Basins did not significantly differ in eDNA concentration, and there were no strong relationships between environmental variables and eDNA concentration, indications that bigheaded carps use the entire lake. The model provided an estimate of 4,830 metric tonnes (2,750–8,030 tonnes) of bigheaded carps in Lake Balaton, or 81.0 kg/ha. The eDNA method produced a value close to previous estimates by traditional means of total biomass of bigheaded carps in the lake, and like traditional methods, there was a broad confidence interval on the estimate of the mean. The results of the present study support the utility of aquatic eDNA analysis, and the need for further comparisons with fisheries methods and supporting data from laboratory studies.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0335950","usgsCitation":"Boross, N., Laszlo, A., Chapman, D.C., Boros, G., Vitál, Z., Tóth, V., Thompson, N., Klymus, K.E., and Richter, C.A., 2025, Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey: PLoS ONE, v. 20, no. 11, 0335950, 15 p., https://doi.org/10.1371/journal.pone.0335950.","productDescription":"0335950, 15 p.","ipdsId":"IP-178103","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":496746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0335950","text":"Publisher Index Page"},{"id":496639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Hungary","otherGeospatial":"Lake Balaton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 18.21350370081612,\n 47.10491295878799\n ],\n [\n 17.172489215123477,\n 47.10491295878799\n ],\n [\n 17.172489215123477,\n 46.62325119241811\n ],\n [\n 18.21350370081612,\n 46.62325119241811\n ],\n [\n 18.21350370081612,\n 47.10491295878799\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Boross, Nora","contributorId":362434,"corporation":false,"usgs":false,"family":"Boross","given":"Nora","affiliations":[{"id":86526,"text":"HUN-REN Balaton Limnological Research Institute, Hungary","active":true,"usgs":false}],"preferred":false,"id":950467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laszlo, Ardo","contributorId":362435,"corporation":false,"usgs":false,"family":"Laszlo","given":"Ardo","affiliations":[{"id":86527,"text":"Hungarian University of Agricultural and Life Science, Hungary","active":true,"usgs":false}],"preferred":false,"id":950468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane C.","contributorId":362436,"corporation":false,"usgs":false,"family":"Chapman","given":"Duane","middleInitial":"C.","affiliations":[{"id":86529,"text":"(retired) USGS Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":950469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boros, Gergely","contributorId":295274,"corporation":false,"usgs":false,"family":"Boros","given":"Gergely","email":"","affiliations":[{"id":63813,"text":"Centre for Ecological Research, Balaton Limnological Institute","active":true,"usgs":false}],"preferred":false,"id":950470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitál, Zoltán","contributorId":352562,"corporation":false,"usgs":false,"family":"Vitál","given":"Zoltán","affiliations":[{"id":84260,"text":"Hungarian University of Agriculture and Life Sciences","active":true,"usgs":false}],"preferred":false,"id":950471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tóth, Viktor","contributorId":362437,"corporation":false,"usgs":false,"family":"Tóth","given":"Viktor","affiliations":[{"id":86526,"text":"HUN-REN Balaton Limnological Research Institute, Hungary","active":true,"usgs":false}],"preferred":false,"id":950472,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950473,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950474,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950475,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273494,"text":"70273494 - 2025 - Development of genomic markers for monitoring and research on plethodontid salamanders","interactions":[],"lastModifiedDate":"2026-01-20T16:29:44.920088","indexId":"70273494","displayToPublicDate":"2025-11-06T09:21:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Development of genomic markers for monitoring and research on plethodontid salamanders","docAbstract":"Despite the importance of plethodontid salamanders and their vulnerability to ongoing environmental change, they are inherently difficult to monitor due to their cryptic nature. Recent advances in genomics have created new opportunities for monitoring of populations and their responses to environmental perturbations. In this study, we developed a new target capture-based genomic panel for the purposes of genetic monitoring in plethodontid salamanders. We demonstrate its utility in several distantly related species and present an example application in two representative species with co-occurring distributions but different ecological attributes and expected patterns of population structure: Plethodon jordani and Desmognathus wrighti. Although the number of successfully assembled loci declined with phylogenetic distance from the original reference species (Desmognathus spp), we obtained high-quality data from thousands of loci from species in all four genera tested (Desmognathus, Plethodon, Eurycea, and Gyrinophilus), which span the deepest split in Plethodontidae. Landscape genetic analyses detected weak but statistically significant geographic structure in P. jordani, and much stronger geographic structure in D. wrighti, as expected based on the lower population density and likely lower dispersal ability of D. wrighti. Our target capture panel is broadly applicable across salamanders in Plethodontidae and has the potential to provide data for a wide range of phylogenetic, biogeographic, and population genetics research questions.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0336236","usgsCitation":"Fitzpatrick, B.M., Jones, K., Aunins, A.W., Eackles, M.S., and Kazyak, D.C., 2025, Development of genomic markers for monitoring and research on plethodontid salamanders: PLoS ONE, v. 20, no. 11, e0336236, 17 p., https://doi.org/10.1371/journal.pone.0336236.","productDescription":"e0336236, 17 p.","ipdsId":"IP-179317","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0336236","text":"Publisher Index Page"},{"id":498782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.96979895915521,\n 35.68689851036355\n ],\n [\n -84.05501149014529,\n 35.55141202602384\n ],\n [\n -83.96678886713649,\n 35.43799305033697\n ],\n [\n -83.55568366891563,\n 35.42976785901836\n ],\n [\n -83.09885998619994,\n 35.48881199038594\n ],\n [\n -83.01407939098402,\n 35.69152675352798\n ],\n [\n -83.17690302454709,\n 35.814788263627534\n ],\n [\n -83.96979895915521,\n 35.68689851036355\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Benjamin M.","contributorId":336140,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":80760,"text":"1. Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee","active":true,"usgs":false}],"preferred":false,"id":953978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272097,"text":"70272097 - 2025 - Global recreational consumption of non-native inland fish: Higher economic benefits, but lower nutritional value and climate resilience","interactions":[],"lastModifiedDate":"2025-11-14T14:52:00.136041","indexId":"70272097","displayToPublicDate":"2025-11-06T07:48:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Global recreational consumption of non-native inland fish: Higher economic benefits, but lower nutritional value and climate resilience","docAbstract":"Inland recreational fisheries are globally significant leisure pursuits, with well-documented benefits to human health and well-being, but also one of the principal drivers of non-native fish introductions to enhance fishing opportunities, whether for sport or sustenance. In this study, we assess the relative reliance of global inland recreational fisheries on non-native versus native species for harvest. We further examine how this reliance varies by economic and nutritional value as well as the climate vulnerability of the species involved. We demonstrate that, of the 1,325,851 t of inland recreational fishes recreationally harvested for consumption worldwide in 2021, non-native fish were a small proportion (4 %; 53,651 t). On a global scale, non-native fish contributed a net positive 38.2 % economic value to inland recreational harvest. However, they also contributed a net negative −21.9 % nutritional value to inland recreational harvest. Non-native fishes were also more climate vulnerable (i.e., higher average climate vulnerability index values) and thus proportionally increased overall estimates of climate vulnerability with a net positive of 70.9 %. Our results quantitatively demonstrate that non-native species play a more important role in inland consumptive recreational fisheries than their mere harvest volume would suggest. However, many nuances were seen on the continent and country scale, which reflect the complexity of fisher behavior, fish distribution and socio-economic factors. Our findings help unravel the complex effects of non-native species on human activities and underscore the need to evaluate their global impacts holistically.
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However, SP inversion remains challenging due to its ill-posed nature, sparse data coverage, and strong transient noise. This study proposes a hybrid framework to image hyporheic exchange using a time-lapse SP data set monitored from a streamflow site in Oak Ridge, Tennessee. Dipole moment tomography grids generated from the physics-informed numerical inversion is first used to train a Vision Transformer (ViT) model that maps surface SP sequences to 2D source distributions. While the numerical method is more responsive to transient signals, the ViT model better captures persistent spatial structures. Their complementary outputs are jointly analyzed in the spatiotemporal domain to isolate dynamic hyporheic exchange zones and distinguish transient from steady state subsurface flow features. This approach integrates physical inversion and deep learning to enhance interpretability, generalization, and temporal awareness in SP analysis.
","language":"English","publisher":"Americal Geophysical Union","doi":"10.1029/2025GL118772","usgsCitation":"Yin, H., Ikard, S., Rucker, D.F., Brooks, S.C., Dai, Z., Carroll, K.C., 2025, Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data: Geophysical Research Letters, v. 52, no. 21, e2025GL118772, 11 p., https://doi.org/10.1029/2025GL118772.","productDescription":"e2025GL118772, 11 p.","ipdsId":"IP-180027","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":500584,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118772","text":"Publisher Index Page"},{"id":500417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"21","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Huichao 0000-0001-6172-5580","orcid":"https://orcid.org/0000-0001-6172-5580","contributorId":366938,"corporation":false,"usgs":false,"family":"Yin","given":"Huichao","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rucker, Dale F. 0000-0002-8930-2747","orcid":"https://orcid.org/0000-0002-8930-2747","contributorId":294463,"corporation":false,"usgs":false,"family":"Rucker","given":"Dale","email":"","middleInitial":"F.","affiliations":[{"id":63573,"text":"hydroGEOPHYSICS, Inc.","active":true,"usgs":false}],"preferred":false,"id":956408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Scott C. 0000-0002-8437-9788","orcid":"https://orcid.org/0000-0002-8437-9788","contributorId":294464,"corporation":false,"usgs":false,"family":"Brooks","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":956409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dai, Zhenxue 0000-0002-0805-7621","orcid":"https://orcid.org/0000-0002-0805-7621","contributorId":366941,"corporation":false,"usgs":false,"family":"Dai","given":"Zhenxue","affiliations":[{"id":87510,"text":"Jilin University","active":true,"usgs":false}],"preferred":false,"id":956410,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956411,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272202,"text":"70272202 - 2025 - Missing data in ecology: Syntheses, clarifications, and considerations","interactions":[],"lastModifiedDate":"2025-11-19T16:17:18.846028","indexId":"70272202","displayToPublicDate":"2025-11-05T10:14:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Missing data in ecology: Syntheses, clarifications, and considerations","docAbstract":"In ecology and related sciences, missing data are common and occur in a variety of different contexts. When missing data are not handled properly, subsequent statistical estimates tend to be biased, inefficient, and lack proper confidence interval coverage. Missing data are often grouped into three categories: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). We review each category and compare their benefits and drawbacks. We review several approaches to handling missing data including complete case analysis, imputation, inverse probability weighting, and data augmentation. We clarify what types of variables should accompany imputation methods and how those variables are influenced by the analysis methods. Additionally, we discuss missing data that lack a formal basis for measurement and hence are fundamentally different from MCAR, MAR, and MNAR missing data. Throughout, we introduce concepts and numeric examples using both simulated data and data from the United States Environmental Protection Agency's 2016 National Wetland Condition Assessment. We conclude by providing five considerations for ecologists and other scientists handling missing data.
","language":"English","publisher":"Elsevier","doi":"10.1002/ecm.70037","usgsCitation":"Dumelle, M., Trangucci, R., Nahlik, A.M., Olsen, A.R., Irvine, K., Blocksom, K.A., Ver Hoef, J., and Fuentes, C., 2025, Missing data in ecology: Syntheses, clarifications, and considerations: Ecological Monographs, v. 95, no. 4, e70037, 41 p., https://doi.org/10.1002/ecm.70037.","productDescription":"e70037, 41 p.","ipdsId":"IP-174769","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.70037","text":"Publisher Index Page"},{"id":496645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dumelle, Michael 0000-0002-3393-5529","orcid":"https://orcid.org/0000-0002-3393-5529","contributorId":355601,"corporation":false,"usgs":false,"family":"Dumelle","given":"Michael","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":950423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trangucci, Rob","contributorId":362469,"corporation":false,"usgs":false,"family":"Trangucci","given":"Rob","affiliations":[],"preferred":false,"id":950544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nahlik, Amanda M. 0000-0003-0591-375X","orcid":"https://orcid.org/0000-0003-0591-375X","contributorId":272622,"corporation":false,"usgs":false,"family":"Nahlik","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":950425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Anthony R","contributorId":362407,"corporation":false,"usgs":false,"family":"Olsen","given":"Anthony","middleInitial":"R","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":950424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":220632,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blocksom, Karen A. 0000-0003-4606-7430","orcid":"https://orcid.org/0000-0003-4606-7430","contributorId":329596,"corporation":false,"usgs":false,"family":"Blocksom","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":950427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ver Hoef, Jay","contributorId":177840,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","affiliations":[],"preferred":false,"id":950428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuentes, Claudio","contributorId":245477,"corporation":false,"usgs":false,"family":"Fuentes","given":"Claudio","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273444,"text":"70273444 - 2025 - Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","interactions":[],"lastModifiedDate":"2026-01-14T15:28:25.24061","indexId":"70273444","displayToPublicDate":"2025-11-05T09:22:13","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","docAbstract":"The ability to accurately map erosion, flooding, and habitat loss in coastal environments is crucial for formulating national strategies aimed at preventing and mitigating the impacts of natural disasters. A fundamental component of this process is the implementation of coastal morphodynamics monitoring through Structure-from-Motion (SfM) techniques, utilizing high-resolution 2D/3D data obtained from aerial photogrammetry. To assess morphodynamic changes over a three-year period (2022 – 2024), several SfM-based photogrammetric studies were conducted, each year, in the Romanian sector of the Danube-Black Sea coastal zone, specifically at the mouth of one of the Danube River distributaries (Sf Gheorghe branch) into the Black Sea, and along the left bank, near Sf Gheorghe locality, located within the Danube Delta Biosphere Reserve (DDBR). The essential equipment for aerial photogrammetry comprises Unmanned Aerial Vehicles (UAVs) and Global Navigation Satellite Systems (GNSS). In this study, the UAV used was a DJI Mavic 3T (Enterprise/Thermal) drone, complemented by two Trimble R12i and R4 GNSS systems, as well as approximately 10 Ground Control Points (GCPs). Data acquisition and processing were carried out using specialized photogrammetric software (Agisoft Metashape) along with various GIS tools (e.g., Blue Marble Geographics Global Mapper and ESRI ArcMap). The photogrammetric products generated for the study, as detailed in this paper, include Digital Elevation Models (DEMs), Digital Terrain Models (DTMs), orthomosaics (orthophotos), and others. At Sfântu Gheorghe beach, a comparison between 2023 and 2024 photogrammetric surveys revealed that the left bank of the Sf. Gheorghe Arm, at the river mouth into the Black Sea, suffered from a twist (erosion) of up to 64 metres. Additionally, on the selected perimetre (total area of 31,910 square meters ) from the beach and dune zone of Sf. Gheorghe, an area of up to 16,202 square meters was eroded between 2023 and 2024. This contrasts with the period between 2022 and 2023, during which deposition predominated. Erosion at the Danube mouths and the adjacent Black Sea coastline is driven by a complex interaction of natural and anthropogenic factors. Natural processes, including subsidence, sea-level rise, and episodic extreme storm events, contribute significantly to coastal dynamics. Meanwhile, human-induced factors, such as upstream hydrotechnical works that limits sediment transport, cutting of navigation canals, as well as the exacerbating effects of climate change, further accelerate erosion. The recent Structure-from-Motion (SfM) surveys provide essential quantitative data, enabling a detailed analysis of both short-term and long-term morphodynamic changes influenced by seasonal variations and extreme hydrometeorological events in this highly dynamic coastal system.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Inżynieria Mineralna WMCEES 2025","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Polish Mineral Engineering Society","doi":"10.29227/IM-2025-02-03-15","usgsCitation":"Dragos, A.G., Iordache, G., Dutu, F., Palaseanu-Lovejoy, M., Pitea, F., Stanciu, I., and Stanica, A., 2025, Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania), in Proceedings of Inżynieria Mineralna WMCEES 2025, v. 3, no. 2, 9 p., https://doi.org/10.29227/IM-2025-02-03-15.","productDescription":"9 p.","ipdsId":"IP-183130","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.29227/im-2025-02-03-15","text":"Publisher Index Page"},{"id":498610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Romania","otherGeospatial":"Sfȃntu Gheorghe Mouth (Danube Delta)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 29.533907040308605,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.932418076703044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dragos, Andrei Gabriel 0000-0003-3268-8615","orcid":"https://orcid.org/0000-0003-3268-8615","contributorId":365121,"corporation":false,"usgs":false,"family":"Dragos","given":"Andrei","middleInitial":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iordache, Gabriel 0000-0002-8335-5995","orcid":"https://orcid.org/0000-0002-8335-5995","contributorId":365122,"corporation":false,"usgs":false,"family":"Iordache","given":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutu, Florin 0000-0002-5393-3125","orcid":"https://orcid.org/0000-0002-5393-3125","contributorId":365123,"corporation":false,"usgs":false,"family":"Dutu","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":305576,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","affiliations":[],"preferred":true,"id":953728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitea, Florin 0009-0007-0206-5886","orcid":"https://orcid.org/0009-0007-0206-5886","contributorId":365124,"corporation":false,"usgs":false,"family":"Pitea","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanciu, Irina 0000-0003-1842-6619","orcid":"https://orcid.org/0000-0003-1842-6619","contributorId":365125,"corporation":false,"usgs":false,"family":"Stanciu","given":"Irina","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanica, Adrian 0000-0001-5983-6302","orcid":"https://orcid.org/0000-0001-5983-6302","contributorId":351791,"corporation":false,"usgs":false,"family":"Stanica","given":"Adrian","affiliations":[{"id":84044,"text":"GeoEcoMar National Research institute, Romania","active":true,"usgs":false}],"preferred":false,"id":953731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274508,"text":"70274508 - 2025 - Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","interactions":[],"lastModifiedDate":"2026-03-27T15:40:01.804182","indexId":"70274508","displayToPublicDate":"2025-11-05T08:31:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","docAbstract":"Animal reproduction is composed of several stages, which collectively determine overall productivity. Yet, it is not fully understood how different productivity components contribute to population change. To bridge this gap, we leveraged integrated population modelling and transient life-table response experiments, together with population-level data on lesser snow geese (Anser caerulescens caerulescens) breeding on Wrangel Island, Russia, from 1970 to 2022. We assessed contributions of breeding propensity, clutch size, nest success, egg survival, hatching success and pre-fledging survival to population change, and tested hypotheses about the effects of environmental drivers and density dependence on different components. Breeding propensity contributed the most to variation in population growth, followed by nest success. These two components were negatively affected by the timing of snow melt. We found no overall deleterious effects of climate change on productivity. Density dependence had a positive effect on multiple productivity components, likely through predator swamping. Our results show the importance of breeding propensity to the population dynamics of this long-lived animal, which is notable because this productivity component is often overlooked. Our results also demonstrate that the effects of environmental conditions and density dependence can differ among animal populations of different sizes, locations and life histories.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2025.1386","usgsCitation":"Piironen, A., Dooley, J.L., Baraynyuk, V.V., Knetter, J.M., Spragens, K.A., Schindler, A.R., Patil, V.P., Reed, E.T., Behney, A.C., Ross, M.V., Sanders, T.A., Petrie, M.J., and Weegman, M.D., 2025, Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese: Proceedings of the Royal Society B, v. 292, no. 2058, 20251386, https://doi.org/10.1098/rspb.2025.1386.","productDescription":"20251386","ipdsId":"IP-177764","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Wrangel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": 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0000-0003-0227-8252","orcid":"https://orcid.org/0000-0003-0227-8252","contributorId":368891,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","middleInitial":"T.","affiliations":[{"id":87674,"text":"Environment and Climate Change Canada, Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Behney, Adam C.","contributorId":171686,"corporation":false,"usgs":false,"family":"Behney","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":958046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ross, Megan V.","contributorId":199265,"corporation":false,"usgs":false,"family":"Ross","given":"Megan","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":958047,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanders, Todd A.","contributorId":368892,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","middleInitial":"A.","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":958048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":958049,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weegman, Mitch D. 0000-0003-1633-0920","orcid":"https://orcid.org/0000-0003-1633-0920","contributorId":368893,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch","middleInitial":"D.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":958050,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70275118,"text":"70275118 - 2025 - Exploring the use of non-invasive drone-based Ground Penetrating Radar (GPR) to characterize biogenic gas dynamics in subtropical peat soils","interactions":[],"lastModifiedDate":"2026-04-16T15:25:13.278922","indexId":"70275118","displayToPublicDate":"2025-11-04T10:19:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the use of non-invasive drone-based Ground Penetrating Radar (GPR) to characterize biogenic gas dynamics in subtropical peat soils","docAbstract":"Peat soils are a critical component of the global carbon cycle as natural producers of biogenic greenhouse gases (e.g., methane and carbon dioxide) that accumulate within the soil matrix and are episodically released to the atmosphere. Previous studies have showed the unique ability of ground-based minimally-invasive geophysical methods like ground-penetrating radar (GPR) to characterize carbon dynamics in peat soils. However, the GPR methods are still limited by the scale of measurements and soil disturbance potentially altering biogenic gas releases during deployment. Here we explore the potential of drone-based GPR for identification of hot spots and hot moments of gas accumulation and release in subtropical peat soils. We collected drone-based GPR datasets across two grids (~ 17,500 m2) in the Florida Everglades during January, September, and November of 2023 to characterize peat thickness and seasonal variability of gas content. Results show that drone-based GPR is effective and efficient for: 1) capturing the temporal variation of in-situ biogenic gas content in peat soils with changes between 1-25% volumetric gas content over repeatable grids; 2) inferring peat thickness from discrete measurements ranging between 0.8-1.2 m; and 3) estimating methane flux releases of 63 and 135 mg CH4 m-2 day-1 for specific locations and time periods that are strikingly consistent with our coincident gas trap measurements. This work also indicates that (1) spatial distribution of gas content in the Everglades is strongly controlled by landscape morphology such as ridges and sloughs and (2) the temporal variation of gas content is seasonal with increased gas production during the wet season.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG008891","usgsCitation":"Comas, X., Terry, N.C., Islam, M.R., Brodylo, D., and Zhang, C., 2025, Exploring the use of non-invasive drone-based Ground Penetrating Radar (GPR) to characterize biogenic gas dynamics in subtropical peat soils: JGR Biogeosciences, v. 130, no. 11, e2025JG008891, 17 p., https://doi.org/10.1029/2025JG008891.","productDescription":"e2025JG008891, 17 p.","ipdsId":"IP-176304","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades, Water Conservation Area 2A","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.88236468079873,\n 26.476571691762004\n ],\n [\n -80.46236750434764,\n 26.476571691762004\n ],\n [\n -80.46236750434764,\n 26.037303148820783\n ],\n [\n -80.88236468079873,\n 26.037303148820783\n ],\n [\n -80.88236468079873,\n 26.476571691762004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"130","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Comas, Xavier","contributorId":176879,"corporation":false,"usgs":false,"family":"Comas","given":"Xavier","affiliations":[],"preferred":false,"id":959561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":959562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Islam, Md Rejeun","contributorId":370037,"corporation":false,"usgs":false,"family":"Islam","given":"Md","middleInitial":"Rejeun","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":959563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodylo, David","contributorId":370038,"corporation":false,"usgs":false,"family":"Brodylo","given":"David","affiliations":[{"id":87937,"text":"U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":false,"id":959564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Caiyun 0000-0002-6603-0427","orcid":"https://orcid.org/0000-0002-6603-0427","contributorId":370039,"corporation":false,"usgs":false,"family":"Zhang","given":"Caiyun","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":959565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273769,"text":"70273769 - 2025 - Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow","interactions":[],"lastModifiedDate":"2026-01-28T16:15:47.03889","indexId":"70273769","displayToPublicDate":"2025-11-04T09:02:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow","docAbstract":"We examined the progression of gas bubble trauma (GBT) and associated mortality in sculpin (Cottus spp.), threespine stickleback (Gasterosteus aculeatus), and Northern pikeminnow (Ptychocheilus oregonensis) exposed to three levels of total dissolved gas (TDG; 120, 125, and 130% saturation) in laboratory experiments. Sculpin were most sensitive to elevated TDG followed by stickleback and then pikeminnow, which were least sensitive. This was evidenced by GBT and associated mortality progressing fastest in sculpin and slowest in pikeminnow. GBT incidence and severity increased through time at all TDG levels tested, but relationships between severity and exposure time were statistically weak or nonexistent. GBT mortality progressed more rapidly as TDG increased in all species. Regional criteria developed to rank GBT in salmonids did not fully capture the incidence and severity of GBT in the three nonsalmonids we examined. Rather, using criteria that considered all areas of the fish provided more accurate data. The lateral line, body, dorsal fin, and pectoral fins were common locations of GBT in sculpin whereas in stickleback and pikeminnow, GBT was most common on the head and body. The proximate cause of GBT-related death was bubbles in the gills and heart, but unlike in other species, bubbles in these organs appeared rapidly just before the point of death. Our findings provide some of the first information on TDG effects on these little-studied species.
","language":"English","publisher":"BioOne","doi":"10.3955/046.098.0301","usgsCitation":"Tiffan, K.F., and Liedtke, B.D., 2025, Gas bubble trauma progression and mortality in sculpin, threespine stickleback, and Northern pikeminnow: Northwest Science, v. 98, no. 3, p. 174-189, https://doi.org/10.3955/046.098.0301.","productDescription":"16 p.","startPage":"174","endPage":"189","ipdsId":"IP-169570","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Dam, Columbia River, Ives Island, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.07792688551268,\n 49.060742133839824\n ],\n [\n -125.07792688551268,\n 41.99908206800043\n ],\n [\n -116.81687980720761,\n 41.99908206800043\n ],\n [\n -116.81687980720761,\n 49.060742133839824\n ],\n [\n -125.07792688551268,\n 49.060742133839824\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"98","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Brad D. 0000-0002-0458-7377","orcid":"https://orcid.org/0000-0002-0458-7377","contributorId":303795,"corporation":false,"usgs":true,"family":"Liedtke","given":"Brad","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954703,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272789,"text":"70272789 - 2025 - Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","interactions":[],"lastModifiedDate":"2025-12-09T15:25:42.910526","indexId":"70272789","displayToPublicDate":"2025-11-04T08:15:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","docAbstract":"1. Species that are secretive, imperilled and consequently data deficient often re-quire conservation action despite limited available information. In such scenarios, Bayesian networks (BNs) offer a versatile and intuitive approach for utilizing various information sources, including literature reviews, community science data sets and expert knowledge. Although it has been suggested that peer review be incorporated during expert elicitations in a BN modelling context, little information exists about how to implement this approach or about how models constructed using this approach perform.
2. We documented a double-blind peer review approach for expert elicitation in a BN modelling context. Further, we compared BN models that were generated by experts who engaged in this peer-review process (PRBNs) to those that were generated by a single expert whose knowledge was supplemented only by a literature review (LRBNs). These comparisons were based on the ability to predict the occurrence (via community science and satellite telemetry data) of a secretive and data deficient species, the King Rail (Rallus elegans), throughout a large region.
3. We found that the LRBNs tended to predict King Rail occurrence as well as, or better than, the PRBNs. The LRBNs that we evaluated provided more consistent predictions across our study area. However, preliminary data suggest that the PRBNs may better distinguish between locations of focal and non-focal species within smaller regions.
4. Practical implication. Our framework for utilizing double-blind peer review could serve as a useful guide and have practical implications for incorporating expert knowledge in BN models. Further, our model comparison case study suggests that, in some contexts, a single expert who uses a literature review to inform the creation of BN models may be able to accurately predict the occurrence of a secretive and data-deficient focal species. Taken together, this information could help ecologists decide when a double-blind peer review approach to expert elicitation is necessary and how to implement this approach in a BN modelling context.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.70140","usgsCitation":"Brewer, D.E., Webb, E.B., Mini, A.E., and McKnight, S.K., 2025, Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review: Ecological Solutions and Evidence, v. 6, no. 4, e70140, 13 p., https://doi.org/10.1002/2688-8319.70140.","productDescription":"e70140, 13 p.","ipdsId":"IP-173106","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.70140","text":"Publisher Index Page"},{"id":497279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.1068107990959,\n 36.53488280878683\n ],\n [\n -91.61423177860152,\n 34.64999645355131\n ],\n [\n -91.32812729950412,\n 33.779728217016626\n ],\n [\n -92.23976277110854,\n 31.169028802843997\n ],\n [\n -90.1068107990959,\n 29.669842940257624\n ],\n [\n -89.51855955615441,\n 29.669842940257624\n ],\n [\n -91.11618518098236,\n 31.200696392028455\n ],\n [\n -90.47470081531254,\n 32.88931314596513\n ],\n [\n -89.51855955615441,\n 36.53488280878683\n ],\n [\n -90.1068107990959,\n 36.53488280878683\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Dustin E.","contributorId":363560,"corporation":false,"usgs":false,"family":"Brewer","given":"Dustin","middleInitial":"E.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":951788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":951789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mini, Anne E.","contributorId":363561,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","middleInitial":"E.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":951790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, S. Keith","contributorId":363562,"corporation":false,"usgs":false,"family":"McKnight","given":"S.","middleInitial":"Keith","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}