{"pageNumber":"26","pageRowStart":"625","pageSize":"25","recordCount":46619,"records":[{"id":70267962,"text":"70267962 - 2025 - Understanding the evolution of scoria cone morphology using multivariate models","interactions":[],"lastModifiedDate":"2025-06-09T15:14:31.734183","indexId":"70267962","displayToPublicDate":"2025-06-06T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the evolution of scoria cone morphology using multivariate models","docAbstract":"<p><span>Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (</span><i>n</i><span> = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02425-8","usgsCitation":"Kereszturi, G., Grosse, P., Whitehead, M., Guilbaud, M., Downs, D.T., Noguchi, R., and Kervyn, M., 2025, Understanding the evolution of scoria cone morphology using multivariate models: Communications Earth & Environment, v. 6, 439, 11 p., https://doi.org/10.1038/s43247-025-02425-8.","productDescription":"439, 11 p.","ipdsId":"IP-171151","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02425-8","text":"Publisher Index Page"},{"id":490265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kereszturi, Gabor 0000-0003-4336-2012","orcid":"https://orcid.org/0000-0003-4336-2012","contributorId":247601,"corporation":false,"usgs":false,"family":"Kereszturi","given":"Gabor","email":"","affiliations":[{"id":49587,"text":"Volcanic Risk Solutions, Massey University, Palmerston North, 4474, New Zealand","active":true,"usgs":false}],"preferred":false,"id":939787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Pablo","contributorId":356702,"corporation":false,"usgs":false,"family":"Grosse","given":"Pablo","affiliations":[{"id":85189,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Fundación Miguel Lillo","active":true,"usgs":false}],"preferred":false,"id":939788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehead, Melody","contributorId":356703,"corporation":false,"usgs":false,"family":"Whitehead","given":"Melody","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":939789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guilbaud, Marie-Noëlle","contributorId":356704,"corporation":false,"usgs":false,"family":"Guilbaud","given":"Marie-Noëlle","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":939790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noguchi, Rina","contributorId":356705,"corporation":false,"usgs":false,"family":"Noguchi","given":"Rina","affiliations":[{"id":85190,"text":"Niigata University","active":true,"usgs":false}],"preferred":false,"id":939792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kervyn, Matthieu","contributorId":213338,"corporation":false,"usgs":false,"family":"Kervyn","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":939793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267945,"text":"70267945 - 2025 - Resiliency of land change monitoring efforts to input data resampling","interactions":[],"lastModifiedDate":"2025-06-09T15:10:26.407318","indexId":"70267945","displayToPublicDate":"2025-06-06T10:04:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17157,"text":"Frontiers in Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Resiliency of land change monitoring efforts to input data resampling","docAbstract":"<p><span>The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made available in the Universal Transverse Mercator (UTM) projection system which preserves geographic shape across small area but introduces small errors in distance and area. As remote sensing-based studies develop from local scales to regional and global, they need to adopt more appropriate map projections from which accurate area measurements can be made. While effects of resampling on recorded values have been studied in the past, the impacts on higher-level results such as land cover have not been widely reported. This study investigates an approach for monitoring land cover and land change using two input datasets derived from identical source Landsat data, where one input dataset is transformed to an equal-area map projection and thereby resampled. Recorded surface reflectance values are changed through the reprojection/resampling process, and our study highlights observed differences in derived land cover from these two different input datasets throughout the various stages of deriving land cover and related characteristics. Our findings suggest that large-scale analyses of land cover will not be substantially impacted by reprojection of input data, but small-scale analyses should exercise caution when interpreting timing and magnitude of pixel-level change and classification dynamics.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2025.1570580","usgsCitation":"Healey, N.C., Barber, C., Smith, K., Mital, R., Brown, J.F., and Robison, C., 2025, Resiliency of land change monitoring efforts to input data resampling: Frontiers in Remote Sensing, v. 6, 1570580, 11 p., https://doi.org/10.3389/frsen.2025.1570580.","productDescription":"1570580, 11 p.","ipdsId":"IP-175401","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":490669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2025.1570580","text":"Publisher Index Page"},{"id":490264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","city":"Atlanta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.333,\n              34.667\n            ],\n            [\n              -84.333,\n              33.333\n            ],\n            [\n              -83,\n              33.333\n            ],\n            [\n              -83,\n              34.667\n            ],\n            [\n              -84.333,\n              34.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Healey, Nathan C. 0000-0002-8516-2636","orcid":"https://orcid.org/0000-0002-8516-2636","contributorId":280023,"corporation":false,"usgs":false,"family":"Healey","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":939736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kelcy 0000-0001-6811-1485","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":272037,"corporation":false,"usgs":false,"family":"Smith","given":"Kelcy","affiliations":[{"id":56338,"text":"KBR, Inc., Contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":939738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mital, Rohan 0009-0001-3241-756X","orcid":"https://orcid.org/0009-0001-3241-756X","contributorId":356687,"corporation":false,"usgs":false,"family":"Mital","given":"Rohan","affiliations":[{"id":85186,"text":"KBR, Inc. contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":939739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":939740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robison, Charles 0000-0002-7623-2380","orcid":"https://orcid.org/0000-0002-7623-2380","contributorId":217916,"corporation":false,"usgs":false,"family":"Robison","given":"Charles","email":"","affiliations":[{"id":39714,"text":"SGT Inc. (USGS Contractor)","active":true,"usgs":false}],"preferred":false,"id":939741,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268119,"text":"70268119 - 2025 - An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","interactions":[],"lastModifiedDate":"2025-09-22T15:21:31.317811","indexId":"70268119","displayToPublicDate":"2025-06-06T09:54:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","docAbstract":"<p><span>In this study, we apply an empirical Green’s function (eGf) method within a ground‐motion modeling framework to mitigate trade‐offs between source, path, and site effects. Many physical processes contribute to spatial variations in observed ground motions, including earthquake radiation pattern, directivity, variable path attenuation, and site effects. Current nonergodic ground‐motion models use spatially varying coefficients for path and site effects, but they do not address trade‐offs with complex earthquake source effects. To quantify the influence of directivity on ground‐motion amplitudes, we use records from multiple smaller earthquakes with epicenters near that of a larger event. We use these small magnitude events as eGfs and estimate repeatable path and site effects at individual stations, assuming that the average adjustments are not controlled by directivity. We adjust residuals from the larger earthquake using the eGf terms, isolating effects related to the rupture. This method clearly enhances the observed broadband directivity observed in the 2022&nbsp;</span><strong>M</strong><span>&nbsp;5.1 and 2007&nbsp;</span><strong>M</strong><span>&nbsp;5.4 Alum Rock earthquake ground motions, reinforcing the conclusion that their ruptures were unilateral. For the 2004&nbsp;</span><strong>M</strong><span>&nbsp;6.0 Parkfield earthquake, we find a bilateral rupture model better fits the data because variations in rupture velocity, slip rate, and slip distribution seem to have a stronger effect on the ground motions than rupture direction alone. Applying eGf adjustments reduces the standard deviation of the rupture models over the three earthquakes by 32% on average and by up to 57% for the 2022 Alum Rock earthquake, confirming we have effectively removed repeatable effects related to the wave propagation path and site response. We propose a novel measure of the frequency‐dependent directivity amplification strength as the reduction in ground‐motion residual variability gained by fitting a directivity model; for the three earthquakes considered, this parameter varies between 25% and 75%, indicating that directivity can strongly influence ground motions and should be considered in ground‐motion modeling.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240264","usgsCitation":"Parker, G.A., Baltay Sundstrom, A.S., and Hirakawa, E.T., 2025, An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2336-2354, https://doi.org/10.1785/0120240264.","productDescription":"19 p.","startPage":"2336","endPage":"2354","ipdsId":"IP-171011","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123,\n              38.5\n            ],\n            [\n              -123,\n              36\n            ],\n            [\n              -120.5,\n              36\n            ],\n            [\n              -120.5,\n              38.5\n            ],\n            [\n              -123,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":940273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265826,"text":"70265826 - 2025 - A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable)","interactions":[],"lastModifiedDate":"2025-06-16T14:31:10.9429","indexId":"70265826","displayToPublicDate":"2025-06-06T09:12:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable)","docAbstract":"<p><span>The success of environmental DNA (eDNA) approaches for species detection has revolutionized biodiversity monitoring and distribution mapping. Targeted eDNA amplification approaches, such as quantitative PCR, have improved our understanding of species distribution, and metabarcoding-based approaches have enabled biodiversity assessment at unprecedented scales and taxonomic resolution. eDNA datasets, however, are often scattered across repositories with inconsistent formats, varying access restrictions, and inadequate metadata; this limits their interoperation, reuse, and overall impact. Adopting FAIR (Findable, Accessible, Interoperable, and Reusable) data practices with eDNA data can transform the monitoring of biodiversity and individual species and support data-driven biodiversity management across broad scales. FAIR practices remain underdeveloped in the eDNA community, partly due to gaps in adapting existing vocabularies, such as Darwin Core (DwC) and Minimum Information about any (x) Sequence (MIxS), to eDNA-specific needs and workflows. To address these challenges, we propose a comprehensive FAIR eDNA (FAIRe) Metadata Checklist, which integrates existing data standards and introduces new terms tailored to eDNA workflows. Metadata are systematically linked to both raw data (e.g., metabarcoding sequences, Ct/Cq values of targeted qPCR assays) and derived biological observations (e.g., Amplicon Sequence Variant (ASV)/Operational Taxonomic Unit (OTU) tables, species presence/absence). Along with formatting guidelines, tools, templates, and example datasets, we introduce a standardized, ready-to-use approach for FAIR eDNA practices. Through broad collaboration, we seek to integrate these guidelines into established biodiversity and molecular data standards, promote journal data policies, and foster user-driven improvements and uptake of FAIR practices among eDNA data producers. In proposing this standardized approach and developing a long-term plan with key databases and data standard organizations, the goal is to enhance accessibility, maximize reuse, and elevate the scientific impact of these valuable biodiversity data resources.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70100","usgsCitation":"Takahashi, M., Frøslev Guldberg, T., Pauperio, J., Thalinger, B., Klymus, K.E., Helbing, C., Villacorta-Rath, C., Silliman, K., Thompson, L., Jungbluth, S., Yee Yong, S., Formel, S., Jenkins, G., Laporte, M., Deagle, B., Rajbhandari, S., Jeppesen Stjernegaard, T., Bissett, A., Jerde, C.L., Hahn, E.E., Schriml, L., Hunter, C., Newman, P., Woollard, P., Harper, L., Dunn, N., West, K., Haderlé, R., Wilkinson, S., Acharya-Patel, N., Lopez, M., Cochrane, G., and Berry, O., 2025, A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable): Environmental DNA, v. 7, no. 3, e70100, 20 p., https://doi.org/10.1002/edn3.70100.","productDescription":"e70100, 20 p.","ipdsId":"IP-173048","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":491007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70100","text":"Publisher Index Page"},{"id":490751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Takahashi, Miwa","contributorId":350365,"corporation":false,"usgs":false,"family":"Takahashi","given":"Miwa","affiliations":[{"id":83724,"text":"Indian Oceans Marine Research Centre, Australia","active":true,"usgs":false}],"preferred":false,"id":933640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frøslev Guldberg, Tobias 0000-0002-3530-013X","orcid":"https://orcid.org/0000-0002-3530-013X","contributorId":353475,"corporation":false,"usgs":false,"family":"Frøslev Guldberg","given":"Tobias","affiliations":[{"id":84411,"text":"Global Biodiversity Information Facility, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":933643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pauperio, Joana 0000-0003-2569-0768","orcid":"https://orcid.org/0000-0003-2569-0768","contributorId":353476,"corporation":false,"usgs":false,"family":"Pauperio","given":"Joana","affiliations":[{"id":84413,"text":"European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK","active":true,"usgs":false}],"preferred":false,"id":933644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thalinger, Bettina 0000-0001-9315-8648","orcid":"https://orcid.org/0000-0001-9315-8648","contributorId":353477,"corporation":false,"usgs":false,"family":"Thalinger","given":"Bettina","affiliations":[{"id":84414,"text":"Department of Zoology, University of Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":933645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":933642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helbing, Caren C. 0000-0002-8861-1070","orcid":"https://orcid.org/0000-0002-8861-1070","contributorId":353489,"corporation":false,"usgs":false,"family":"Helbing","given":"Caren C.","affiliations":[{"id":84424,"text":"Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":933661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villacorta-Rath, Cecilia 0000-0002-1060-5447","orcid":"https://orcid.org/0000-0002-1060-5447","contributorId":353490,"corporation":false,"usgs":false,"family":"Villacorta-Rath","given":"Cecilia","affiliations":[{"id":84425,"text":"Centre for Tropical Water and AquaticEcosystem Research (TropWATER), JamesCook University, Townsville, Queensland,Australia","active":true,"usgs":false}],"preferred":false,"id":933662,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silliman, Katherine 0000-0001-5964-3965","orcid":"https://orcid.org/0000-0001-5964-3965","contributorId":353487,"corporation":false,"usgs":false,"family":"Silliman","given":"Katherine","affiliations":[{"id":84423,"text":"National Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":933658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thompson, Luke R. 0000-0002-3911-1280","orcid":"https://orcid.org/0000-0002-3911-1280","contributorId":353488,"corporation":false,"usgs":false,"family":"Thompson","given":"Luke R.","affiliations":[{"id":84423,"text":"National Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":933660,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jungbluth, Sean 0000-0001-9265-8341","orcid":"https://orcid.org/0000-0001-9265-8341","contributorId":260326,"corporation":false,"usgs":false,"family":"Jungbluth","given":"Sean","email":"","affiliations":[{"id":40704,"text":"Department of Energy, Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":933659,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yee Yong, Suk 0000-0002-5204-2902","orcid":"https://orcid.org/0000-0002-5204-2902","contributorId":353485,"corporation":false,"usgs":false,"family":"Yee Yong","given":"Suk","affiliations":[{"id":84421,"text":"Commonwealth Scientific and Industrial Research Organisation, Information Management & Technology Scientific Computing, Eveleigh, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":933656,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Formel, Stephen Killfoile 0000-0001-7418-1244","orcid":"https://orcid.org/0000-0001-7418-1244","contributorId":338237,"corporation":false,"usgs":true,"family":"Formel","given":"Stephen Killfoile","affiliations":[{"id":38128,"text":"Science Analytics and 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0000-0001-7651-3687","orcid":"https://orcid.org/0000-0001-7651-3687","contributorId":353483,"corporation":false,"usgs":false,"family":"Deagle","given":"Bruce","affiliations":[{"id":84419,"text":"Australian National Fish Collection, Commonwealth Scientific and Industrial Research Organisation, Hobart, TAS, Australia","active":true,"usgs":false}],"preferred":false,"id":933652,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rajbhandari, Sachit 0000-0002-9952-0801","orcid":"https://orcid.org/0000-0002-9952-0801","contributorId":353480,"corporation":false,"usgs":false,"family":"Rajbhandari","given":"Sachit","affiliations":[{"id":84417,"text":"National Collections and Marine Infrastructure, Commonwealth Scientific and Industrial Research Organisation, Hobart, Australia","active":true,"usgs":false}],"preferred":false,"id":933649,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jeppesen Stjernegaard, Thomas 0000-0003-1691-239X","orcid":"https://orcid.org/0000-0003-1691-239X","contributorId":353481,"corporation":false,"usgs":false,"family":"Jeppesen Stjernegaard","given":"Thomas","affiliations":[{"id":84411,"text":"Global Biodiversity Information Facility, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":933650,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bissett, Andrew 0000-0001-7396-1484","orcid":"https://orcid.org/0000-0001-7396-1484","contributorId":353482,"corporation":false,"usgs":false,"family":"Bissett","given":"Andrew","affiliations":[{"id":84418,"text":"Commonwealth Scientific and Industrial Research Organisation, Hobart, TAS, Australia","active":true,"usgs":false}],"preferred":false,"id":933651,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Jerde, Christopher L. 0000-0002-8074-3466","orcid":"https://orcid.org/0000-0002-8074-3466","contributorId":210301,"corporation":false,"usgs":false,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":933648,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hahn, Erin E.","contributorId":264557,"corporation":false,"usgs":false,"family":"Hahn","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":933653,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Schriml, Lynn M. 0000-0001-8910-9851","orcid":"https://orcid.org/0000-0001-8910-9851","contributorId":353486,"corporation":false,"usgs":false,"family":"Schriml","given":"Lynn M.","affiliations":[{"id":84422,"text":"University of Maryland School of Medicine, Institute for Genome Sciences, Genomic Standards Consortium, Baltimore, MD, USA","active":true,"usgs":false}],"preferred":false,"id":933657,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Hunter, Christopher 0000-0002-1335-0881","orcid":"https://orcid.org/0000-0002-1335-0881","contributorId":353491,"corporation":false,"usgs":false,"family":"Hunter","given":"Christopher","affiliations":[{"id":84426,"text":"GigaScience Press, 708-709, 6W Phase One, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong","active":true,"usgs":false}],"preferred":false,"id":933663,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Newman, Peggy 0000-0002-9084-5992","orcid":"https://orcid.org/0000-0002-9084-5992","contributorId":353484,"corporation":false,"usgs":false,"family":"Newman","given":"Peggy","affiliations":[{"id":84420,"text":"Atlas of Living Australia, Commonwealth Scientific and Industrial Research Organisation, Australia","active":true,"usgs":false}],"preferred":false,"id":933654,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Woollard, Peter 0000-0002-7654-6902","orcid":"https://orcid.org/0000-0002-7654-6902","contributorId":353493,"corporation":false,"usgs":false,"family":"Woollard","given":"Peter","affiliations":[{"id":84413,"text":"European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK","active":true,"usgs":false}],"preferred":false,"id":933665,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Harper, Lynsey R.","contributorId":356890,"corporation":false,"usgs":false,"family":"Harper","given":"Lynsey R.","affiliations":[],"preferred":false,"id":940409,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Dunn, Nicholas","contributorId":356891,"corporation":false,"usgs":false,"family":"Dunn","given":"Nicholas","affiliations":[],"preferred":false,"id":940410,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"West, Katrina","contributorId":356892,"corporation":false,"usgs":false,"family":"West","given":"Katrina","affiliations":[],"preferred":false,"id":940411,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Haderlé, Rachel 0009-0004-5752-3336","orcid":"https://orcid.org/0009-0004-5752-3336","contributorId":353492,"corporation":false,"usgs":false,"family":"Haderlé","given":"Rachel","affiliations":[{"id":84427,"text":"Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE-PSL, Université des Antilles, Paris, France; Station Marine de Dinard du Muséum National d’Histoire Naturelle, Dinard, France","active":true,"usgs":false}],"preferred":false,"id":933664,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Wilkinson, Shaun","contributorId":356893,"corporation":false,"usgs":false,"family":"Wilkinson","given":"Shaun","affiliations":[],"preferred":false,"id":940412,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Acharya-Patel, Neha","contributorId":356894,"corporation":false,"usgs":false,"family":"Acharya-Patel","given":"Neha","affiliations":[],"preferred":false,"id":940413,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Lopez, Mark Louie D.","contributorId":356895,"corporation":false,"usgs":false,"family":"Lopez","given":"Mark Louie D.","affiliations":[],"preferred":false,"id":940414,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Cochrane, Guy","contributorId":356896,"corporation":false,"usgs":false,"family":"Cochrane","given":"Guy","affiliations":[{"id":81345,"text":"European Molecular Biology Laboratory","active":true,"usgs":false}],"preferred":false,"id":940415,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Berry, Oliver","contributorId":291263,"corporation":false,"usgs":false,"family":"Berry","given":"Oliver","email":"","affiliations":[{"id":62643,"text":"CSIRO Environomics Future Science Platform","active":true,"usgs":false}],"preferred":false,"id":933655,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}}
,{"id":70274132,"text":"70274132 - 2025 - Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","interactions":[],"lastModifiedDate":"2026-02-27T15:12:54.920259","indexId":"70274132","displayToPublicDate":"2025-06-06T09:00:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","docAbstract":"<p><span>Accurate abundance estimates are critical for informed management of wildlife populations. In New Mexico, USA, minimum counts from aerial surveys are the primary basis for management decisions regarding desert bighorn sheep (</span><i>Ovis canadensis mexicana</i><span>); therefore, there is a need to assess methods that account for imperfect detection. Common survey methods for large mammals (i.e., sightability, double-observer, and double-observer sightability models) are known to result in biased estimates, but the presence of radio-collared individuals within a population allows for estimation of residual heterogeneity. Consequently, we explored the use of hybrid double-observer sightability approaches that account for residual heterogeneity when estimating abundance of desert bighorn sheep in the Fra Cristobal Mountains of New Mexico. We collected double-observer sightability data for 167 desert bighorn groups across 3 surveys between December 2016 and November 2017 and compared abundance estimates under 5 modeling methods: a standard sightability model (M</span><sub>S</sub><span>), a standard double-observer sightability model (M</span><sub>DS</sub><span>), a hybrid double-observer sightability model incorporating a recapture-type heterogeneity parameter (M</span><sub>R</sub><span>), a hybrid double-observer sightability model incorporating a mark-type heterogeneity parameter (M</span><sub>H</sub><span>), and a Lincoln-Petersen estimator. Across all model types, group behavior (moving vs. stationary) and group size influenced detection the most, followed by vegetation class, terrain type, and proportion of obscuring vegetation cover. Standard sightability models produced higher and less precise abundance estimates than all double-observer sightability models. Of the double-observer sightability models, M</span><sub>R</sub><span>&nbsp;was better supported and estimated greater abundance than M</span><sub>H</sub><span>&nbsp;and accounted for more bias than M</span><sub>DS</sub><span>. Both M</span><sub>R</sub><span>&nbsp;and M</span><sub>H</sub><span>&nbsp;yielded greater precision than M</span><sub>S</sub><span>. The M</span><sub>R</sub><span>&nbsp;models produced an average detection probability of&nbsp;</span><i>p</i><span> = 0.72 (SE = 0.02) and abundance estimates of N⌃</span><span> = 302 (95% CI = 262−385), N⌃</span><span>= 290 (95% CI = 261−340), and N⌃</span><span>= 352 (95% CI = 264−548) for the December 2016, May 2017, and November 2017 surveys, respectively. Lincoln-Petersen estimates of abundance were greater than all double-observer sightability models and similarly precise, but their usefulness is reduced given the requirement to permanently maintain a subset of animals with radio-collars combined with the inability to incorporate information from factors influencing detection probability. Further, because residual heterogeneity models better estimate visibility bias, are flexible in their accommodation of radio-collar data, and can be adapted to unique survey occasions, they present a viable and robust option for estimating desert bighorn sheep abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70050","usgsCitation":"Ruhl, C., Cain, J.W., Abadi, F., and Hennig, J.D., 2025, Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity: Journal of Wildlife Management, v. 89, no. 6, e70050, 18 p., https://doi.org/10.1002/jwmg.70050.","productDescription":"e70050, 18 p.","ipdsId":"IP-173007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70050","text":"Publisher Index Page"},{"id":500645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fra Cristobal Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":956626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":956629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272280,"text":"70272280 - 2025 - Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","interactions":[],"lastModifiedDate":"2025-11-20T15:52:04.970413","indexId":"70272280","displayToPublicDate":"2025-06-06T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","docAbstract":"<p>Objective</p><p><span>Response efforts to control invasive species frequently require making decisions in the face of substantial uncertainty. Adaptive management, which emphasizes learning during the process of managing, can be useful in cases where uncertainty impedes the decision-making process. Here, we describe how technical and institutional learning led to reformulating decision-making elements, known as double-loop learning, and how uncertainty stemming from a lack of knowledge influenced the selection of alternative strategies in an ongoing adaptive management process for invasive Grass Carp&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;in Lake Erie.</span></p><p><span>Methods</span></p><p><span>When response efforts began, little was known about the population dynamics, ecology, and biology of Grass Carp within the lake. The availability of funding for sustained response efforts was also unknown. A network population model was constructed that relied heavily on values and estimates from limited data to project adult Grass Carp abundance in Lake Erie and evaluate the ability of various response strategies to achieve the desired objectives. After this initial assessment, the collection of new information was emphasized as response efforts increased to aid future assessments. With this expanded knowledge and including additional input from stakeholders, we modified the population model, evaluated new response scenarios, refined objectives, and examined the influence of uncertainty (parameter and expert opinion) on Grass Carp response efforts.</span></p><p><span>Results</span></p><p><span>Under uncertainty of population model parameters and expert opinion, the value-of-information analysis revealed that uncertainties in spawning deterrent efficacy, survival, and the underlying stock–recruitment relationship were important and could change the preferred decision. The efficiency of spawning deterrents influenced the preferred decision outcome among alternative strategies, particularly when &gt;80% of fish were allowed to pass and spawn, indicating that a deterrent may not be worth implementing if passing rates are above this threshold.</span></p><p><span>Conclusions</span></p><p><span>We thereby demonstrate the benefits for invasive species management programs of implementing learning and resolving uncertainties within an adaptive management framework to improve decision making.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf024","usgsCitation":"Bopp, J., Robinson, K.F., Nathan, L., Herbst, S., Brenden, T.O., Mayer, C.M., and Dettmers, J.M., 2025, Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie: Transactions of the American Fisheries Society, v. 154, no. 5, p. 490-504, https://doi.org/10.1093/tafafs/vnaf024.","productDescription":"15 p.","startPage":"490","endPage":"504","ipdsId":"IP-165964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ],\n            [\n              -83.5079013302731,\n              41.399469691253245\n            ],\n            [\n              -81.65747786109802,\n              41.376324727953744\n            ],\n            [\n              -78.90242947789875,\n              42.5800429820176\n            ],\n            [\n              -78.82019103981635,\n              42.918027622493554\n            ],\n            [\n              -81.18461172886784,\n              42.777400416489556\n            ],\n            [\n              -82.57242629175322,\n              42.229538209014315\n            ],\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nathan, Lucas","contributorId":351530,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":950664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenden, Travis O.","contributorId":362621,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":86538,"text":"Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":362622,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":950666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":362623,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269063,"text":"70269063 - 2025 - Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","interactions":[],"lastModifiedDate":"2025-08-04T16:01:10.233946","indexId":"70269063","displayToPublicDate":"2025-06-06T08:43:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (<i>Ctenopharyngodon idella</i>) response","title":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>) are large, invasive fish that threaten Lake Erie’s economy and ecosystem. Incidental catches of grass carp have occurred since the 1980s in Lake Erie, while multi-day removal events were carried out in 2014 and 2017.</span><span>&nbsp;</span><span>To mitigate ecosystem impacts, a large-scale, multi-agency response to remove as many grass carp as possible from the Lake Erie basin (“strike teams”) began in 2018 and</span><span>&nbsp;</span><span>has increased every year. To date, total annual removals of fish has been the primary measure of progress; however, total annual removals do not indicate how efforts are affecting the grass carp population. Population vital rates, such as mortality rate, can indicate population demographic changes and may provide an alternative approach to measure how removals have impacted the grass carp population. We estimated annual mortality rates using 553 grass carp, representing 82.9&nbsp;% of all grass carp removed in the Lake Erie basin, using a hierarchical catch-curve model and catch-at-age data from 2014 to 2022. Annual average mortality rates were initially low (4.3&nbsp;%) and increased between 2017 and 2022 with the highest mortality (13.6&nbsp;%) observed in 2021. Positive correlations between mortality and the number of fish harvested per year suggest that removals may be driving increases in the grass carp mortality rate. This increase in mortality rate shows promise for controlling the spread of grass carp within the Lake Erie ecosystem. This research supports the needs of fishery managers to better understand grass carp population dynamics and the adaptive management framework identified in the Lake Erie Grass Carp Adaptive Response Strategy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102606","usgsCitation":"Lang, K., Mayer, C.M., Dufour, M.R., Qian, S.S., Hintz, W.D., Kocovsky, P.M., Young, R., Acre, M.R., Weimer, E., Wilson, T.L., Kemp, C., Dettmers, J., Nathan, L., and Brown, R., 2025, Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response: Journal of Great Lakes Research, v. 51, no. 4, 102606, 10 p., https://doi.org/10.1016/j.jglr.2025.102606.","productDescription":"102606, 10 p.","ipdsId":"IP-154267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492342,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102606","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.62623310480353,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              40.77795698325497\n            ],\n            [\n              -78.62623310480353,\n              40.77795698325497\n            ],\n       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0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":943188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hintz, William D. 0000-0002-9755-5314","orcid":"https://orcid.org/0000-0002-9755-5314","contributorId":289161,"corporation":false,"usgs":false,"family":"Hintz","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":62060,"text":"Department of Environmental Sciences and Lake Erie Center, The University of Toledo 6200 Bay Shore Rd., Oregon OH 43616","active":true,"usgs":false}],"preferred":false,"id":943189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":943190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Ryan","contributorId":272036,"corporation":false,"usgs":false,"family":"Young","given":"Ryan","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943191,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural 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,{"id":70267837,"text":"sir20255020 - 2025 - Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2025-08-14T19:19:57.880107","indexId":"sir20255020","displayToPublicDate":"2025-06-05T13:12:11","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5020","displayTitle":"Paleomagnetic Correlation of Surface and Subsurface Basalt Flows in the Central and Southwestern Part of the Idaho National Laboratory, Idaho","title":"Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 22 coreholes to construct 3 fence diagrams of subsurface basalt flows in the southern part of the Idaho National Laboratory. These diagrams provide comprehensive descriptions of the horizontal and vertical distribution of basalt flows and sediment layers beneath the surface, aiding geological studies and contributing valuable data to numerical models of groundwater flow and contaminant transport. The correlations established though these diagrams include spatial correlations between basalt flows found in multiple coreholes. Correlations were identified by matching average paleomagnetic inclinations and confirming or denying these correlations using petrology, geochemistry and radiometric ages.</p><p>The fence diagrams aid in identifying potential locations of subsurface vents, volcanic vents that have been buried by more recent volcanic activity, associated to subsurface basalt flows. By tracing the subsurface flows and analyzing where the greatest thickness occurs, the locations of buried vents can be inferred. Some subsurface flows exhibit correlations across several coreholes and may indicate yet unidentified surface or buried vents, thereby enhancing our understanding of the volcanic history and subsurface geology of the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255020","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22263","usgsCitation":"Hodges, M.K.V., Trcka, A.R., and Champion, D.E., 2025, Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2025–5020, 38 p., 1 pl., https://doi.org/10.3133/sir20255020.","productDescription":"Report: vi, 38 p.; 1 Plate: 50.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107892","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":489517,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5020"},{"id":489516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020"},{"id":489515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5020/coverthb.jpg"},{"id":489518,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020_plate1.pdf","text":"Plate 1","size":"476 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020 Plate 1","linkHelpText":"- Subsurface stratigraphic fence diagrams interpreted from paleomagnetic inclination data from coreholes in the southern part of the Idaho National Laboratory, Idaho, pl. 1"},{"id":489519,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTUTU8","text":"USGS data release","description":"USGS data release","linkHelpText":"Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho"},{"id":489520,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5020/images"},{"id":489521,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.XML"},{"id":494133,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118634.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.5,\n              43.75\n            ],\n            [\n              -113.125,\n              43.75\n            ],\n            [\n              -113.125,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting and Framework</li><li>Sampling and Analytical Methods</li><li>Fence Diagram Correlations of Basalt Flows</li><li>Volcanic Vents and Associated Basalt Flows</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodges, Mary 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":172612,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trcka, Allison R. 0000-0001-8498-4737 atrcka@usgs.gov","orcid":"https://orcid.org/0000-0001-8498-4737","contributorId":303227,"corporation":false,"usgs":true,"family":"Trcka","given":"Allison","email":"atrcka@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270738,"text":"70270738 - 2025 - Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","interactions":[],"lastModifiedDate":"2025-08-22T17:42:46.01131","indexId":"70270738","displayToPublicDate":"2025-06-05T10:26:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","docAbstract":"<p><span>In addition to having cultural, social, and economic significance, large predatory fish affect aquatic communities from the top down and serve as markers of ecosystem health. A focus on large predators is critical for managing ecosystems, conserving species, and guaranteeing the sustainability<a class=\"topic-link\" title=\"Learn more about sustainability from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\"></a>&nbsp;of aquatic resources. Recreational fishing is inherently biased towards large fish, and anglers possess the strength in numbers and geographical dispersion that enable them to sample the upper tiers of size distributions rarely encountered in standard fish surveys. We sought to further understand the ecological requirements and spatial seasonality<a class=\"topic-link\" title=\"Learn more about seasonality from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\"></a>&nbsp;of exceptionally sized black bass (<i>Micropterus </i></span><span>spp.) via angler catches. Black bass&nbsp;</span><u>&gt;</u><span> 3.6 kg were examined across 147 reservoirs in Texas, USA, with 2817 fish recorded by anglers into an online database in 2018–2024. Most fish were caught in late-winter and early-spring in line with spawning activities that included movements in-and-out of shallow water, nest building, and nest defense. Approximately 54 % of fish were caught with bottom-oriented fishing lures and techniques, and 40 % midwater; surface catches were less common. The efficacy of angling techniques varied seasonally. Those effective in winter were midwater, while those effective in summer were bottom or surface. Conversely, a combination of bottom and midwater techniques were effective in the fall and spring, suggesting cyclic habitat transitions. Moreover, the frequency with which fish were caught over various macrohabitats varied seasonally and cyclically. Our findings have the potential to inform habitat management that supports large predators and their migratory relocations. Our findings also underscore the value of using anglers and technology as sources of difficult-to-obtain fish and environmental data that may evade regular monitoring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107423","usgsCitation":"Miranda, L.E., Griffin, F., Neal, J.W., Lang, T.J., Goldstrohm, N., and Mehlmanne, M., 2025, Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.): Fisheries Research, v. 287, 107423, 11 p., https://doi.org/10.1016/j.fishres.2025.107423.","productDescription":"107423, 11 p.","ipdsId":"IP-176324","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"287","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Frank","contributorId":360287,"corporation":false,"usgs":false,"family":"Griffin","given":"Frank","affiliations":[{"id":85992,"text":"University of Arkansas for Medical Sciences","active":true,"usgs":false}],"preferred":false,"id":946933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, J. Wesley","contributorId":360289,"corporation":false,"usgs":false,"family":"Neal","given":"J.","middleInitial":"Wesley","affiliations":[{"id":85993,"text":"Mississippi State","active":true,"usgs":false}],"preferred":false,"id":946934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Thomas J.","contributorId":360290,"corporation":false,"usgs":false,"family":"Lang","given":"Thomas","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":946935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstrohm, Natalie","contributorId":360292,"corporation":false,"usgs":false,"family":"Goldstrohm","given":"Natalie","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":946936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mehlmanne, Michael","contributorId":360293,"corporation":false,"usgs":false,"family":"Mehlmanne","given":"Michael","affiliations":[{"id":85996,"text":"BassForecast","active":true,"usgs":false}],"preferred":false,"id":946937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269049,"text":"70269049 - 2025 - Do Graviquakes exist?","interactions":[],"lastModifiedDate":"2025-09-22T15:24:11.317645","indexId":"70269049","displayToPublicDate":"2025-06-05T10:24:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Do Graviquakes exist?","docAbstract":"<p><span>The “Graviquake” model, proposed in 2015 as an alternative to the elastic dislocation model, posits that normal faults are passive features dominated by coseismic gravitational collapse into a dilated crustal wedge, and that normal faulting is fundamentally distinct from strike‐slip and reverse faulting. Developed using finite‐element modeling before the 2016 central Apennines earthquake sequence, the model was revamped based on interpreted Differential Interferometric Synthetic Aperture Radar data from these events and used as evidence for a gravitational collapse episode. However, this interpretation relies on miscalculated elevation changes and is not corroborated by independent geophysical and seismological observations. Our analysis exposes fundamental flaws in the Graviquake model. By assuming that faults are passive players, it underrepresents the dynamic role of strain accumulation and release in rocks adjacent to faults. The hypothesized rapid expulsion of overpressurized fluids appears inconsistent with observed diffusion rates and lacks supporting seismological evidence. Part of the uplifted–subsided volume imbalance is likely an artifact arising from data processing, and in part is a transient effect due to the delayed response of the lower crust. Moment tensor analyses detect no isotropic components indicative of gravitational collapse, and observed ground motion and stress‐drop levels remain fully consistent with elastic dislocation theory. In addition, finite‐element modeling of normal faulting replicates observed surface deformation without invoking a collapsing wedge. The Graviquake model proposes a representation of normal‐faulting mechanics that differs significantly from established models and observations. Gravity does play a role in normal faulting, but the elastic dislocation theory remains the definitive framework of fault mechanics. Reinterpreting the 2016 earthquakes as a cascade of gravitational episodes, based on incorrect data processing and modeling, fails to substantiate the Graviquake hypothesis. Persistence in advocating this model could mislead seismic hazard assessment and undermine our understanding of normal faulting.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240279","usgsCitation":"Malagnini, L., Dreger D.., Parsons, T.E., Valensise, G., Michelini, A., and De Natale, G., 2025, Do Graviquakes exist?: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2073-2095, https://doi.org/10.1785/0120240279.","productDescription":"23 p.","startPage":"2073","endPage":"2095","ipdsId":"IP-173869","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492248,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240279","text":"Publisher Index Page"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreger D..","contributorId":358033,"corporation":false,"usgs":false,"family":"Dreger D..","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":943099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valensise, G.","contributorId":358034,"corporation":false,"usgs":false,"family":"Valensise","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michelini, A.","contributorId":358035,"corporation":false,"usgs":false,"family":"Michelini","given":"A.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Natale, G.","contributorId":358036,"corporation":false,"usgs":false,"family":"De Natale","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267954,"text":"70267954 - 2025 - A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","interactions":[],"lastModifiedDate":"2025-06-09T14:55:20.441118","indexId":"70267954","displayToPublicDate":"2025-06-05T09:52:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","docAbstract":"<p><span>The recent steep decline of the endangered North Atlantic right whale&nbsp;</span><i>Eubalaena glacialis</i><span>&nbsp;can be attributed to high mortality combined with low reproduction. While the former is a clear result of anthropogenic activity, the latter involves more complexity. Evidence suggests that both short-term fluctuations in prey availability and long-term decline in health are responsible for depressed right whale calving rates. To facilitate an assessment of extinction risk, we developed a multistate capture-recapture model that estimated the probability of calving using extensive sightings data from 1990-2019. The model estimated sub-lethal effects of severe injury on calving probability and modeled temporal variability in calving as related to indices of prey availability (</span><i>Calanus</i><span>&nbsp;spp. biomass) and an apparent regime shift. The average annual probability of calving for known-breeding females, given average prey conditions, decreased from 0.217 [95% CI: 0.162, 0.281] to 0.142 [95% CI: 0.067, 0.252] after the 2010 regime shift. The model indicated strong evidence of a relationship between calving probability and the prey index from the eastern Gulf of Maine, although this relationship effectively disappeared after 2010; moderate evidence for a relationship with prey from the southwest Gulf of St. Lawrence remained. Weak evidence of reduced calving probability due to severe injury resulted from low sample sizes, given increased mortality for individuals observed with severe injuries. The regime effect is hypothesized to be capturing a long-term decline in health due to a combination of decreasing habitat quality resulting from climate change and potentially chronic sublethal injuries (e.g. entanglements). Our reproduction model provides demographic parameter estimates that can be used in population projections for North Atlantic right whales, although uncertainty remains in the mechanisms responsible for recent declines in calving.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01406","usgsCitation":"Linden, D., Pace, R., Garrison, L.P., Hostetler, J.A., Knowlton, A., Lesage, V., Williams, R., and Runge, M.C., 2025, A multistate capture-recapture model to estimate reproduction of North Atlantic right whales: Endangered Species Research, v. 57, p. 91-102, https://doi.org/10.3354/esr01406.","productDescription":"12 p.","startPage":"91","endPage":"102","ipdsId":"IP-157964","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01406","text":"Publisher Index Page"},{"id":490260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":939767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pace, Richard M III","contributorId":352277,"corporation":false,"usgs":false,"family":"Pace","given":"Richard M","suffix":"III","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":939768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":939769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":939770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":939771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lesage, Veronique","contributorId":352311,"corporation":false,"usgs":false,"family":"Lesage","given":"Veronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":939772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":939773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939774,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267921,"text":"70267921 - 2025 - Global tracking of marine megafauna space use reveals how to achieve conservation targets","interactions":[],"lastModifiedDate":"2025-06-06T16:35:47.740313","indexId":"70267921","displayToPublicDate":"2025-06-05T09:49:38","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":"Global tracking of marine megafauna space use reveals how to achieve conservation targets","docAbstract":"<p><span>The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of highly mobile marine megafauna, showing that 63% of the area that they cover is used 80% of the time as important migratory corridors or residence areas. The GBF 30% threshold (Target 3) will be insufficient for marine megafauna’s effective conservation, leaving important areas exposed to major anthropogenic threats. Coupling area protection with mitigation strategies (e.g., fishing regulation, wildlife-traffic separation) will be essential to reach international goals and conserve biodiversity.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.adl0239","usgsCitation":"Sequeira, A.M., Rodriguez, J.P., Marley, S., Calich, H.J., van der Mheen, M., VanCompernolle, M., Arrowsmith, L., Peel, L., Queiroz, N., Vedor, M., da Costa, I., Mucientes, G., Couto, A., Humphries, N., Abalo-Morla, S., Abascal, F., Abercrombie, D., Abrantes, K., Abreu-Grobois, F., Afonso, A., Afonso, P., Ahonen, H., Åkesson, S., Alfaro-Shigueto, J., Andrews, R.D., Angelier, F., Antonopoulou, M., Arata, J., Araujo, G., Arauz, R., Arcos, J.M., Arregui, I., Arrizabalaga, H., Auger-Methe, M., Bach, S., Bailleul, F., Baird, R., Balazs, G., Barco, S., Barnett, A., Baverstock, W., Baylis, A.M., Beard, A., Bécares, J., Belda, E.J., Bell, I., Bennison, A., Benson, S., 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,{"id":70267918,"text":"70267918 - 2025 - Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity","interactions":[],"lastModifiedDate":"2025-06-06T14:48:10.315709","indexId":"70267918","displayToPublicDate":"2025-06-05T09:42:16","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":"Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity","docAbstract":"<p><span>Intertidal microbial biofilms, or microphytobenthos, support estuarine biogeochemical cycling, the physical stability of mudflats, and food webs, particularly those of migratory shorebirds. Photosynthetic biofilms dominated by diatoms, cyanobacteria, and chlorophytes represent a significant fraction of biofilm biomass and contain pigments that can be detected with remote sensing. These diverse biofilm community types vary in indicator pigments and functional traits related to biogeochemical cycling and nutritional quality. We modeled and mapped spatial variation in intertidal biofilm distribution, quantity, diversity, and functional traits using multi-scale spectroscopic data collected within southern San Francisco Bay, California, USA (South SFB). We developed a new biofilm index (B-index) from 5&nbsp;mm HySpex spectra to detect biofilm presence. We developed single and multiple response partial least squares regression (PLS) models of chlorophyll</span><i>-a</i><span>&nbsp;(chl</span><i>-a</i><span>; biomass indicator), indicator pigments: fucoxanthin and diadinoxanthin (diatoms), zeaxanthin (cyanobacteria), and chl</span><i>-b</i><span>&nbsp;(chlorophytes), and functional traits: carbohydrates, lipids, and total organic carbon from paired in situ biofilm data and field spectra. The B-index and PLS models were scaled to South SFB with a 3.7&nbsp;m AVIRIS-NG hyperspectral image. The model %RMSE calculated from AVIRIS-NG test samples ranged from 12.7% for chl</span><i>-a</i><span>&nbsp;to 49% for chl</span><i>-b</i><span>; for six of the eight models, %RMSE was 23% or below. Mapped community types differed in mapped traits, with average lipid concentrations three times higher in areas indicated as diatoms compared to other groups. Available maps depict for the first time the spatial variation of an important shorebird food resource and inform the contribution of intertidal biofilm in carbon and nutrient cycling.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008520","usgsCitation":"Byrd, K.B., Palacios, S., Taylor, N.C., Woo, I., Moskal, S.M., Kokaly, R.F., Hoefen, T.M., Chapman, J., and De La Cruz, S.E., 2025, Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity: JGR Biogeosciences, v. 130, no. 6, e2024JG008520, 23 p., https://doi.org/10.1029/2024JG008520.","productDescription":"e2024JG008520, 23 p.","ipdsId":"IP-171397","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":490197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.29763416548646,\n              37.65\n            ],\n            [\n              -122.29763416548646,\n              37.415152793804396\n            ],\n            [\n              -121.93300968918774,\n              37.415152793804396\n            ],\n            [\n              -121.93300968918774,\n              37.65\n            ],\n            [\n              -122.29763416548646,\n              37.65\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palacios, Sherry L.","contributorId":356406,"corporation":false,"usgs":false,"family":"Palacios","given":"Sherry L.","affiliations":[{"id":81898,"text":"CSU Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":939329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Nicole Chin 0000-0002-8094-2246","orcid":"https://orcid.org/0000-0002-8094-2246","contributorId":302295,"corporation":false,"usgs":true,"family":"Taylor","given":"Nicole","email":"","middleInitial":"Chin","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moskal, Stacy M. 0000-0001-7627-5316","orcid":"https://orcid.org/0000-0001-7627-5316","contributorId":342631,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":939333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapman, John","contributorId":352622,"corporation":false,"usgs":false,"family":"Chapman","given":"John","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":939335,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939336,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70266864,"text":"sir20255006 - 2025 - Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","interactions":[],"lastModifiedDate":"2025-08-14T19:15:25.073305","indexId":"sir20255006","displayToPublicDate":"2025-06-05T07:42:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5006","displayTitle":"Hydrogeology and Groundwater Quality in the Snake River Alluvial Aquifer at Jackson Hole Airport, Wyoming, 2011–20","title":"Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","docAbstract":"<p>The Snake River alluvial aquifer underlying the Jackson Hole Airport (JHA) in northwest Wyoming is an important source of water used for domestic, commercial, and irrigation purposes by the airport and nearby residents. The U.S. Geological Survey, in response to previously identified water-quality concerns in the area, monitored and evaluated changes in hydrogeologic characteristics and groundwater-quality conditions of the alluvial aquifer during 2011–20. During that period, the Jackson Hole Airport made several changes that potentially improved water quality at and downgradient from the airport. Well, water level, and hydrogeologic data were collected from the alluvial aquifer to identify hydrogeologic characteristic and groundwater quality changes. Additionally, results of statistical tests were applied to water-quality results to evaluate trends in selected physical properties and constituent concentrations with time. The trends of those data show that water quality did improve overall during the study period compared to previously collected data. Presumably, these trends are in response to the changes in the aircraft deicing/anti-icing fluid (ADAF) formulation used by the JHA, the many JHA infrastructure improvements made during 2011–20, the degradation of existing ADAFs in subsurface soils and groundwater, or some combination of these possibilities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255006","collaboration":"Prepared in cooperation with the Jackson Hole Airport Board","usgsCitation":"Wright, P.R., and Bartos, T.T., 2025, Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20: U.S. Geological Survey Scientific Investigations Report 2025–5006, 80 p., https://doi.org/10.3133/sir20255006.","productDescription":"Report: x, 80 p.; Appendix; Dataset","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143344","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":494131,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118633.htm","linkFileType":{"id":5,"text":"html"}},{"id":485857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5006/coverthb.jpg"},{"id":485898,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255006/full"},{"id":485897,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.XML"},{"id":485863,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":485860,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5006/images/"},{"id":485859,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2025/5006/downloads/","text":"Appendix 1—Tables 1.1 to 1.10"},{"id":485858,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5006"}],"country":"United States","state":"Wyoming","otherGeospatial":"Jackson Hole Airport","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.9167,\n              43.667\n            ],\n            [\n              -110.9167,\n              43.4167\n            ],\n            [\n              -110.667,\n              43.4167\n            ],\n            [\n              -110.667,\n              43.667\n            ],\n            [\n              -110.9167,\n              43.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Design</li><li>Methods of Data Collection and Analysis</li><li>Hydrogeology Results and Discussion</li><li>Water-Quality Results and Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental Data Tables</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Peter R. 0000-0003-0305-4541 prwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0305-4541","contributorId":239858,"corporation":false,"usgs":true,"family":"Wright","given":"Peter","email":"prwright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":936993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267917,"text":"70267917 - 2025 - Trends in richness and occupancy of Ugandan birds and relation to local tree cover","interactions":[],"lastModifiedDate":"2025-06-06T14:37:59.275323","indexId":"70267917","displayToPublicDate":"2025-06-04T09:28:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":670,"text":"African Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in richness and occupancy of Ugandan birds and relation to local tree cover","docAbstract":"<p><span>Changes in vegetation cover are occurring across sub-Saharan Africa and can have substantial effects on ecological communities, but limited data make understanding status and trends difficult for many taxa. We surveyed birds for several decades across Uganda using point counts. Using time-to-detection analysis in a trait-informed Bayesian multi-species occupancy framework, we model bird species richness as a function of year and local tree cover across 28 sites. We test for trends in richness and occupancy, and for the relationship between these and local and landscape-scale tree cover. Species richness increased at 75% of sites through the study period, and generalist bird species were most likely to be increasing in occupancy. Forest specialist bird species, and to a lesser extent generalists, responded positively to tree cover. Woody cover is changing across Uganda, with declines most pronounced in areas with the highest tree cover. This is likely to be causing declines in forest specialist species while favouring generalists. When tree cover decline is caused by conversion to croplands, rather than transitions to grasslands, grassland specialists are unlikely to benefit. Effects of climate and land use change and population pressure are likely to continue to alter woody plant cover and thus affect East African bird communities.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/aje.70058","usgsCitation":"Burner, R.C., Adams, E.M., Pomeroy, D., Tushabe, H., Kibuule, M., Rostad, L., Venter, Z., and Sheil, D., 2025, Trends in richness and occupancy of Ugandan birds and relation to local tree cover: African Journal of Ecology, v. 63, no. 4, e70058, 21 p., https://doi.org/10.1111/aje.70058.","productDescription":"e70058, 21 p.","ipdsId":"IP-175842","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":490660,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/aje.70058","text":"Publisher Index Page"},{"id":490399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SPBYBF","text":"USGS data release","linkHelpText":"Uganda bird trends"},{"id":490194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uganda","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.86617,-1.02736],[30.76986,-1.01455],[30.4191,-1.13466],[29.82152,-1.44332],[29.57947,-1.34131],[29.58784,-0.58741],[29.8195,-0.2053],[29.87578,0.59738],[30.08615,1.06231],[30.46851,1.58381],[30.85267,1.8494],[31.17415,2.20447],[30.77332,2.33989],[30.83385,3.50917],[31.24556,3.7819],[31.88145,3.55827],[32.68642,3.79232],[33.39,3.79],[34.005,4.24988],[34.47913,3.5556],[34.59607,3.05374],[35.03599,1.90584],[34.6721,1.17694],[34.18,0.515],[33.89357,0.10981],[33.90371,-0.95],[31.86617,-1.02736]]]},\"properties\":{\"name\":\"Uganda\"}}]}","volume":"63","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":939320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":939321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, Derek","contributorId":356400,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Derek","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tushabe, Herbert","contributorId":356401,"corporation":false,"usgs":false,"family":"Tushabe","given":"Herbert","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kibuule, Micheal","contributorId":356402,"corporation":false,"usgs":false,"family":"Kibuule","given":"Micheal","affiliations":[{"id":84995,"text":"NatureUganda","active":true,"usgs":false}],"preferred":false,"id":939324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Lars Jørgen","contributorId":356403,"corporation":false,"usgs":false,"family":"Rostad","given":"Lars Jørgen","affiliations":[{"id":84996,"text":"Norconsult AS","active":true,"usgs":false}],"preferred":false,"id":939325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venter, Zander S.","contributorId":356404,"corporation":false,"usgs":false,"family":"Venter","given":"Zander S.","affiliations":[{"id":84997,"text":"wegian Institute for Nature Research - NINA","active":true,"usgs":false}],"preferred":false,"id":939326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheil, Douglas","contributorId":356405,"corporation":false,"usgs":false,"family":"Sheil","given":"Douglas","affiliations":[{"id":84998,"text":"Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":939327,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70268007,"text":"70268007 - 2025 - Observing northern high-latitude river systems to understand changes in a warming Arctic","interactions":[],"lastModifiedDate":"2025-06-11T14:08:41.105155","indexId":"70268007","displayToPublicDate":"2025-06-04T09:03:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5763,"text":"Current Climate Change Reports","active":true,"publicationSubtype":{"id":10}},"title":"Observing northern high-latitude river systems to understand changes in a warming Arctic","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Purpose of Review</h3><p>Streams and rivers are undergoing rapid change as the Arctic warms and thaws. We review recent observations in Arctic stream systems to identify ubiquitous changes and the most useful tools for observing change and exploring the underlying processes.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Recent Findings</h3><p>Recent literature indicates increasingly significant trends in river hydrology and chemistry due to persistent warming in the Arctic and longer observational records for analysis. However, regional differences in the magnitude and direction of these trends persist. We also observe thresholds in ground thaw and surface–groundwater interactions that can impact river hydrology and chemistry.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Summary</h3><p>Warming and thaw are occurring rapidly at high latitudes, resulting in increasing, yet variable responses in stream systems across regions and scales. These differences highlight the need for long-term records and an interdisciplinary approach to explain trends and predict future states. Stream systems respond to multiple landscape changes related to hydrology (changing precipitation and subsurface flow), geology (ground thaw dynamics), and ecology (vegetation change).</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s40641-025-00202-5","usgsCitation":"Koch, J.C., and O’Donnell, J.A., 2025, Observing northern high-latitude river systems to understand changes in a warming Arctic: Current Climate Change Reports, v. 11, 5, 11 p., https://doi.org/10.1007/s40641-025-00202-5.","productDescription":"5, 11 p.","ipdsId":"IP-173848","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40641-025-00202-5","text":"Publisher Index Page"},{"id":490362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":939950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, J. A.","contributorId":195376,"corporation":false,"usgs":false,"family":"O’Donnell","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":939951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267834,"text":"gip253 - 2025 - U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500)","interactions":[],"lastModifiedDate":"2025-09-02T17:05:28.861385","indexId":"gip253","displayToPublicDate":"2025-06-03T12:13:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"253","displayTitle":"U.S. Geological Survey Monitoring Milestones—Rio Grande at Embudo, NM (08279500)","title":"U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500)","docAbstract":"<p><span>Located at the site of the first U.S. Geological Survey (USGS) training camp for hydrographers, the Rio Grande at Embudo, NM (08279500), streamgage has been collecting water data since January 1889. The development and adaptation of equipment and techniques at this location became the foundation of USGS streamgaging methods.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip253","usgsCitation":"Bunch, C.E. and Riskin, M.L., 2025, U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500): U.S. Geological Survey General Information Product 253, https://doi.org/10.3133/gip253.","productDescription":"1 p.","onlineOnly":"Y","ipdsId":"IP-173786","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489509,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/253/gip253.pdf","text":"Report","size":"719 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 253"},{"id":489508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/253/coverthb.jpg"}],"country":"United States","state":"New Mexcio","city":"Embudo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.95294116853054,\n              36.21108389143059\n            ],\n            [\n              -105.96424309566731,\n              36.209667097572975\n            ],\n            [\n              -105.96925553227872,\n              36.201629529647946\n            ],\n            [\n              -105.95884754288156,\n              36.204643715877324\n            ],\n            [\n              -105.95294116853054,\n              36.21108389143059\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:waternetworks@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:waternetworks@usgs.gov\">National Streamgage Networks Coordinator</a><br><a href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\">Observing Systems Division</a><br>Water Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","publishedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2025-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bunch, Claire E. 0000-0002-1360-8598 cebunch@usgs.gov","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":150240,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire E.","email":"cebunch@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":939085,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267867,"text":"70267867 - 2025 - Assessing causes and consequences of winter surface water dynamics in California’s Central Valley using satellite remote sensing","interactions":[],"lastModifiedDate":"2025-06-23T15:26:48.939339","indexId":"70267867","displayToPublicDate":"2025-06-03T10:23:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing causes and consequences of winter surface water dynamics in California’s Central Valley using satellite remote sensing","docAbstract":"<p><span>California's Central Valley is increasingly vulnerable to winter floods. A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular observation of surface water extents with optical satellite imagery. In this study, we leveraged the daily resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data to create a continuous series of monthly Dynamic Surface Water Extent (DSWEmod) images across the Central Valley from January 2003 to January 2023. We used the timeseries to assess the climatic driving forces of winter (Oct–April) surface water variability at sub-basin and pixel scales. At the sub-basin scale, we evaluated the influences of winter precipitation, occurrence of atmospheric rivers, and antecedent soil moisture on monthly surface water extents and found that the greatest correspondence occurs in mid-winter (Dec–Feb); in contrast, non-precipitation drivers such as water management play a stronger role in autumn and spring. The pixel-level analysis identified the probabilities of precipitation-driven surface water occurrences in the Sacramento basin are highest along rivers, conveyance channels, and floodways, with higher probabilities under wetter antecedent soil moisture conditions. Precipitation-driven surface water occurrences are also common in leveed areas and outside flood boundaries designated by state and federal agencies where exposure of structures to inundation was larger in terms of their value. Finally, areas with more frequent precipitation-driven flooding have poor recharge potential but are commonly within 5 km of areas classified as having good potential. This study demonstrates a novel approach for exploring the utility of MODIS for understanding surface water dynamics in mid-winter, a period characterized by peak precipitation, flood risk, and surface water extent. This information can provide valuable insights for (1) assessing flood risks for infrastructure and populations, (2) identifying areas most suited to strategic water management investments to increase recharge, and (3) analyzing precipitation thresholds that trigger flooding to allow proactive water management strategies to minimize damage and maximize recharge.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfr3.70080","usgsCitation":"Albano, C.M., Soulard, C.E., Minor, B., Walker, J., Smith, B.W., Waller, E.K., Bartles, M., Corringham, T., O'Geen, A., Rohde, M., and Wein, A., 2025, Assessing causes and consequences of winter surface water dynamics in California’s Central Valley using satellite remote sensing: Journal of Flood Risk Management, v. 18, no. 2, e70080, 14 p., https://doi.org/10.1111/jfr3.70080.","productDescription":"e70080, 14 p.","ipdsId":"IP-174164","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491009,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfr3.70080","text":"Publisher Index Page"},{"id":489692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.03203641824364,\n              35.32368399733505\n            ],\n            [\n              -119.03203641824362,\n              35.507911140217104\n            ],\n            [\n              -119.13339103993906,\n              36.39150716917348\n            ],\n            [\n              -120.38862904709285,\n              37.43251585047051\n        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M.","contributorId":169455,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":939189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minor, Blake A.","contributorId":356359,"corporation":false,"usgs":false,"family":"Minor","given":"Blake A.","affiliations":[{"id":84971,"text":"Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":939191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waller, Eric K.","contributorId":317871,"corporation":false,"usgs":false,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":69174,"text":"Contracted to USGS, Portland, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":939194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bartles, Michael D.","contributorId":356360,"corporation":false,"usgs":false,"family":"Bartles","given":"Michael D.","affiliations":[{"id":84972,"text":"Hydrologic Engineering Center, U.S. Army Corps of Engineers, Davis, CA, USA","active":true,"usgs":false}],"preferred":false,"id":939195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corringham, Tom","contributorId":356361,"corporation":false,"usgs":false,"family":"Corringham","given":"Tom","affiliations":[{"id":84973,"text":"Scripps Institution of Oceanography, University of California, La Jolla, CA, USA","active":true,"usgs":false}],"preferred":false,"id":939196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O'Geen, Anthony T.","contributorId":356362,"corporation":false,"usgs":false,"family":"O'Geen","given":"Anthony T.","affiliations":[{"id":84974,"text":"Department of Land, Air and Water Resources, University of California, Davis, CA, USA","active":true,"usgs":false}],"preferred":false,"id":939197,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rohde, Melissa M.","contributorId":356363,"corporation":false,"usgs":false,"family":"Rohde","given":"Melissa M.","affiliations":[{"id":84975,"text":"Rohde Environmental Consulting LLC, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":939198,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939199,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70268298,"text":"70268298 - 2025 - Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation","interactions":[],"lastModifiedDate":"2025-06-20T14:33:11.624655","indexId":"70268298","displayToPublicDate":"2025-06-03T09:30:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation","docAbstract":"<p><span>Biodiversity and its associated genetic diversity are being lost at an unprecedented rate. Simultaneously, the distributions of flora, fauna, fungi, microbes and pathogens are rapidly changing. Novel technology can help to capture and record genetic diversity before it is lost and to measure population shifts and pathogen distributions. Here we report the rapid application of shotgun long-read environmental DNA (eDNA) analysis for non-invasive biodiversity, genetic diversity and pathogen assessments from air. We also compared air eDNA with water and soil eDNA. Coupling long-read sequencing with established cloud-based biodiversity pipelines enabled a 2-day turnaround from airborne sample collection to completed analysis by a single investigator. To determine the full utility of airborne eDNA, we also conducted a local bioinformatic analysis and deep short-read shotgun sequencing. From outdoor air eDNA alone, comprehensive genetic analysis was performed, including population genetics (phylogenetic placement) of a charismatic mammal (bobcat,&nbsp;</span><i>Lynx rufus</i><span>) and a venomous spider (golden silk orb weaver,&nbsp;</span><i>Trichonephila clavipes</i><span>), and haplotyping humans (</span><i>Homo sapiens</i><span>) from natural complex community settings, such as subtropical forests and temperate locations. The rich datasets also enabled deeper analysis of specific species and genomic regions of interest, including viral variant calling, human variant analysis and antimicrobial resistance gene surveillance from airborne DNA. Our results highlight the speed, versatility and specificity of pan-biodiversity monitoring via non-invasive eDNA sampling using current benchtop/portable and cloud-based approaches. Furthermore, they reveal the future feasibility of scaling down (equipment and temporally) these approaches for near real-time analysis. Together these approaches can enable rapid simultaneous detection of all life and its genetic diversity from air, water and sediment samples for unbiased non-targeted information-rich genomics-empowered (1) biodiversity monitoring, (2) population genetics, (3) pathogen and disease-vector genomic surveillance, (4) allergen and narcotic surveillance, (5) antimicrobial resistance surveillance and (6) bioprospecting.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-025-02711-w","usgsCitation":"Nousias, O., Mccauley, M., Stammnitz, M., Farrell, J.A., Koda, S., Summers, V., Eastman, C., Duffy, F., Duffy, I., Whilde, J., and Duffy, D.J., 2025, Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation: Nature Ecology & Evolution, v. 9, no. 6, p. 1043-1060, https://doi.org/10.1038/s41559-025-02711-w.","productDescription":"18 p.","startPage":"1043","endPage":"1060","ipdsId":"IP-163401","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41559-025-02711-w","text":"Publisher Index Page"},{"id":491022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Nousias, Orestis","contributorId":357082,"corporation":false,"usgs":false,"family":"Nousias","given":"Orestis","affiliations":[{"id":85330,"text":"Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":940719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mccauley, Mark 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,{"id":70267392,"text":"dr1211 - 2025 - Assessment of active sand volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey","interactions":[],"lastModifiedDate":"2025-08-14T19:10:35.142305","indexId":"dr1211","displayToPublicDate":"2025-06-03T08:42:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1211","displayTitle":"Assessment of Active Sand Volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey","title":"Assessment of active sand volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey","docAbstract":"<p>Between 2018 and 2023, the U.S. Geological Survey assessed shoreface sediment availability at three Atlantic Coast barrier island study sites in support of a National Fish and Wildlife Foundation project entitled, “Monitoring Hurricane Sandy Beach and Marsh Resilience in New York and New Jersey.” The three study sites are Seven Mile Island, New Jersey, Rockaway Beach peninsula, New York, and Fire Island, N.Y. Previously interpreted geologic boundaries from shoreface geophysical surveys and data from repeat bathymetric surveys at each of the study sites were integrated to quantify the active sediment volume, or the volume of sediment that could contribute to beach and shoreline behavior over annual to decadal time scales. This report describes the methods used to calculate these volumes and the variability of active sediment volume for each survey at the three study sites. Our data show that when shoreface volumes account for varying alongshore extent of each study site, Seven Mile Island and Rockaway Beach peninsula have about 1.5 times the active sediment volume measured at Fire Island.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1211","issn":"2771-9448","collaboration":"Prepared in cooperation with the National Fish and Wildlife Foundation","programNote":"Natural Hazards Mission Area Coastal/Marine Hazards and Resources Program","usgsCitation":"Buster, N.A., Miselis, J.L., Wei, E.A., and Forde, A.S., 2025, Assessment of active sand volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey: U.S. Geological Survey Data Report 1211, 19 p., https://doi.org/10.3133/dr1211.","productDescription":"Report: vii, 19 p.; 11 Data Releases","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-164731","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine 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Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-05-22","noUsgsAuthors":false,"publicationDate":"2025-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 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,{"id":70267805,"text":"sir20255046 - 2025 - Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","interactions":[],"lastModifiedDate":"2025-06-03T14:45:40.689322","indexId":"sir20255046","displayToPublicDate":"2025-06-02T13:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5046","displayTitle":"Evaluation of Passive Samplers for Cyanotoxin Detection by Immunoassay and Chromatographic-Mass Spectrometry","title":"Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","docAbstract":"<p>Harmful algal blooms, particularly cyanobacterial harmful algal blooms, threaten aquatic ecosystems, drinking water supplies, and recreational resources. In 2019, the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, deployed solid phase adsorption toxin tracking (SPATT) samplers in Seneca Lake, Owasco Lake, and Skaneateles Lake to monitor the cyanotoxins microcystins, cylindrospermopsins, anatoxins, and saxitoxins. SPATT samplers can passively adsorb dissolved cyanotoxins over time, providing time-integrated data capable of detecting low concentrations of cyanotoxins that traditional discrete sampling may miss. SPATT samples were analyzed using enzyme-linked immunosorbent assay (ELISA), liquid chromatography with mass spectrometry (LC–MS), and with tandem mass spectrometry (LC–MS/MS). The effects of ELISA-required preservative on measurements by mass spectrometry methods were also evaluated.</p><p>SPATT samplers consistently detected microcystins and anatoxins more frequently than concurrent discrete sampling. ELISA results often showed higher cyanotoxin concentrations than LC–MS/MS, likely due to interference from dissolved organic matter and the ability of ELISA to detect a broader range of congeners. The addition of preservative influenced results for some analytes, particularly microcystins, which showed higher concentrations in preserved samples. Limitations in ELISA methods for cylindrospermopsins and saxitoxins were identified, potentially related to cross-reactivity, low sensitivity, or other matrix interferences. This study demonstrates the utility of SPATT samplers in capturing cyanotoxin variability, especially in environments with low cyanotoxin levels or ephemeral blooms. Further research could help improve the reliability of ELISA and other analytical methods in freshwater ecosystems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255046","usgsCitation":"Johnston, B.D., Stouder, M.D.W., Gorney, R.M., Rosen, J.J., Carpenter, K.D., Wei, B., and Boyer, G.L., 2025, Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry: U.S. Geological Survey Scientific Investigations Report 2025–5046, 37 p., https://doi.org/10.3133/sir20255046.","productDescription":"Report: vii, 37 p.; Data Release; Dataset","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155470","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science 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HTML"},{"id":489340,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5046/images/"},{"id":489342,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":489339,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5046/sir20255046.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5046 XML"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.6117637558914,\n              43.06229154077565\n            ],\n            [\n              -77.6117637558914,\n              42.20716570269167\n      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0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorney, Rebecca Michelle 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","email":"","middleInitial":"Michelle","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosen, Joshua J. 0000-0001-5420-033X","orcid":"https://orcid.org/0000-0001-5420-033X","contributorId":332009,"corporation":false,"usgs":true,"family":"Rosen","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Bofan 0009-0002-8746-1266","orcid":"https://orcid.org/0009-0002-8746-1266","contributorId":356272,"corporation":false,"usgs":false,"family":"Wei","given":"Bofan","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":938962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyer, Gregory L. 0000-0003-4490-5461","orcid":"https://orcid.org/0000-0003-4490-5461","contributorId":289584,"corporation":false,"usgs":false,"family":"Boyer","given":"Gregory","email":"","middleInitial":"L.","affiliations":[{"id":62197,"text":"Department of Chemistry, State University of New York, Syracuse, College of Environmental Science and Forestry, Syracuse, New York, USA","active":true,"usgs":false}],"preferred":false,"id":938963,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267735,"text":"ofr20251017 - 2025 - Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019","interactions":[],"lastModifiedDate":"2025-08-14T19:08:49.554298","indexId":"ofr20251017","displayToPublicDate":"2025-06-02T10:54:22","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1017","displayTitle":"Validation of the Geometric Accuracy of Airborne Light Detection and Ranging Data for Eastern Iowa, 2019","title":"Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019","docAbstract":"<p>A geometric accuracy assessment of lidar data collected in eastern Iowa in 2019 as part of the 3D Elevation Program (3DEP) was conducted. The assessment involved evaluating interswath accuracy, same surface precision, point density, absolute accuracy, and consistency with adjacent 3DEP datasets. The results demonstrate that the data meet or exceed the quality level 2 specifications outlined in the Lidar Base Specifications (LBS). Interswath and same surface precision values were within specified tolerances, with a root mean square difference of 0.03 meters for interswath vertical accuracy and 0.03 meters for same surface precision. Vertical accuracy in flat areas was excellent, with root mean square error values consistently below 0.10 meters. Horizontal accuracy assessments also showed good agreement between lidar and reference data. Point density generally exceeded the minimum requirement of 2 points per square meter, and the inter-project consistency assessment indicated good agreement between the Iowa lidar data and adjacent datasets.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251017","usgsCitation":"Sampath, A., Irwin, J., and Kropuenske, T., 2025, Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019: U.S. Geological Survey Open-File Report 2025–1017, 16 p., https://doi.org/10.3133/ofr20251017.","productDescription":"Report: v, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":487536,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.XML","text":"XML","size":"90.4 KB","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1017 XML"},{"id":487518,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.pdf","text":"Report","size":"3.15","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1017"},{"id":487511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1017/coverthb.jpg"},{"id":487523,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1017/images"},{"id":487546,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/ofr20251017/full"},{"id":487578,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DI0G64","text":"USGS data release","linkHelpText":"2019 Eastern Iowa topographic lidar validation – USGS field survey data"},{"id":494125,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118628.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.29294140522802,\n              43.01135367569728\n            ],\n            [\n              -93.29294140522802,\n              40.35261453917326\n            ],\n            [\n              -89.92207321354842,\n              40.35261453917326\n            ],\n            [\n              -89.92207321354842,\n              43.01135367569728\n            ],\n            [\n              -93.29294140522802,\n              43.01135367569728\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-06-02","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":938673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":938674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kropuenske, Travis 0000-0002-3269-4225 tkropuenske@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-3269-4225","contributorId":356294,"corporation":false,"usgs":false,"family":"Kropuenske","given":"Travis","email":"tkropuenske@contractor.usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":939077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267839,"text":"70267839 - 2025 - Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets","interactions":[],"lastModifiedDate":"2025-06-23T15:25:59.175515","indexId":"70267839","displayToPublicDate":"2025-06-02T09:11:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets","docAbstract":"<p><span>Landsat Analysis Ready Data (ARD)-based time-series present challenges in monitoring surface urban heat islands (SUHI) due to rapid changes in land surface temperature (LST) compared to cloud-free satellite observations. This research investigates the use of a spatiotemporal gap-filling model as a feasible and cost-effective solution to produce Landsat time-series LST products with both high spatial resolution and temporal frequency. The study identified and filled Landsat ARD thermal times-series data gaps due to missing data, cloud and shadow effects, and data quality. The accuracy of Landsat gap-filled products was assessed using randomly selected clear observations of Landsat and uncertainty products from the gap-filling model and was evaluated using various existing temperature datasets, including climate data from NOAA Global Historical Climate Network station observations, Daily Surface Weather and Climatological Summaries (DAYMET), and LST including MODIS, VIIRS and ECOSTRESS. The result suggests that the gap-filled Landsat LST has significant correlations with existing datasets including field observation and remote sensing data derived from other sensors that have similar monthly and seasonal variation patterns. The uncertainty maps show spatial distributions of uncertainty for gap-filled pixels that have high or low uncertainties. The Landsat gap-filled time-series datasets can be used to measure annual, seasonal, or even monthly landscape thermal conditions, which are useful for SUHI and relevant research, and to perform multi-decade time-series LST change analysis under climate change conditions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2025.2505254","usgsCitation":"Shi, H., and Xian, G.Z., 2025, Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets: International Journal of Remote Sensing, v. 46, no. 12, p. 4559-4582, https://doi.org/10.1080/01431161.2025.2505254.","productDescription":"24 p.","startPage":"4559","endPage":"4582","ipdsId":"IP-160289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":939092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273392,"text":"70273392 - 2025 - Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","interactions":[],"lastModifiedDate":"2026-01-12T15:27:03.527731","indexId":"70273392","displayToPublicDate":"2025-06-02T08:16:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","docAbstract":"<p>Background&nbsp;</p><p><span>Severe fire weather is becoming more common throughout the western United States. Changing conditions demand a better understanding of how prescribed fire treatments perform under extreme burning conditions, including the interactive influence of the age of treatments, vegetation, and fire weather. The Carr Fire of July 2018 burned nearly the entire land area of Whiskeytown National Recreation Area (NRA) under extreme fuel moisture and temperature conditions. Prior to the Carr Fire and since 1997, staff at Whiskeytown NRA treated 23% of the 15,756-ha NRA using large-scale prescribed fire (underburn) treatments ranging in size from 40 to 400 hectares.</span></p><p><span>Methods</span></p><p><span>We used simultaneous autoregressive (SAR) models to describe the effects of landscape-scale fuel treatments on wildfire severity under extreme burning conditions and across diverse biophysical settings at Whiskeytown NRA. Because vegetation type and structure are known drivers of fire severity in diverse ecosystems such as at Whiskeytown NRA, we also considered three different sources of vegetation structure data, including a 2006 physiognomic-floristic classification, a 2011 lidar-based forest structure classification, and a 2016 Landfire map of existing vegetation physiognomy-subclass.</span></p><p><span>Results</span></p><p><span>The greatest effect on 2018 Carr Fire severity was time since treatment of underburn treatments, but treatment effectiveness on fire severity dissipated rapidly—showing notable effectiveness within 5 years of underburning but virtually no effectiveness beyond 10 years post-treatment. Additional factors related to severity included vegetation structure type, topographic position index, aspect, slope, temperature, and wind gust speed. Model variance explained and model parameters, including the effect of underburn treatments, were similar regardless of the source of vegetation structure data.</span></p><p><span>Conclusions</span></p><p><span>Our results show that large-scale underburning treatments can reduce wildfire severity even under extreme fire weather conditions but suggest that frequent maintenance intervals are required to maintain treatment effectiveness ahead of severe wildfire events.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00377-0","usgsCitation":"Beckman, J.J., van Mantgem, P.J., Wright, M., and Engber, E., 2025, Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area: Fire Ecology, v. 21, 35, 20 p., https://doi.org/10.1186/s42408-025-00377-0.","productDescription":"35, 20 p.","ipdsId":"IP-165481","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00377-0","text":"Publisher Index Page"},{"id":498548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.77239214268279,\n              40.681212821117555\n            ],\n            [\n              -122.77239214268279,\n              40.474214754578185\n            ],\n            [\n              -122.47725029049735,\n              40.474214754578185\n            ],\n            [\n              -122.47725029049735,\n              40.681212821117555\n            ],\n            [\n              -122.77239214268279,\n              40.681212821117555\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Beckman, Jill J.","contributorId":364982,"corporation":false,"usgs":false,"family":"Beckman","given":"Jill","middleInitial":"J.","affiliations":[{"id":87020,"text":"Northern Arizona University; Former USGS","active":true,"usgs":false}],"preferred":false,"id":953552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":222994,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engber, Eamon","contributorId":202777,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269692,"text":"70269692 - 2025 - Science support for recovery of Southwestern Willow Flycatcher (Empidonax traillii extimus) on conserved lands in San Diego County","interactions":[],"lastModifiedDate":"2026-03-16T15:11:01.998734","indexId":"70269692","displayToPublicDate":"2025-06-01T10:09:46","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"displayTitle":"Science support for recovery of Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) on conserved lands in San Diego County","title":"Science support for recovery of Southwestern Willow Flycatcher (Empidonax traillii extimus) on conserved lands in San Diego County","docAbstract":"<p>This document was developed based on the results of scientific research to support management and recovery of the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) and its habitat in San Diego County, California. A migratory species restricted to riparian habitat for breeding, the flycatcher is present in southern California from May to August. The flycatcher has declined over the last several decades primarily in response to habitat loss, and possibly Brown-headed Cowbird (<i>Molothrus ater</i>) parasitism. This document compiles and analyzes data collected by USGS scientists on population size, distribution, demography, and breeding habitat condition and uses this information to evaluate potential management options and locations relative to several variables including spatial proximity to currently occupied locations, historical occupation, and potential for restoration that would benefit the flycatcher and expand populations. Location-specific management options and habitat restoration opportunities are ranked based on the contribution of each location to promoting regional flycatcher persistence. The results of these analyses can be used by land and resource managers to develop their habitat management projects and priorities and promote flycatcher recovery.&nbsp;</p>","language":"English","publisher":"RiversEdge West","usgsCitation":"Howell, S.L., Kus, B., and Preston, K.L., 2025, Science support for recovery of Southwestern Willow Flycatcher (Empidonax traillii extimus) on conserved lands in San Diego County, vii, 68 p.","productDescription":"vii, 68 p.","ipdsId":"IP-178700","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":493167,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.riversedgewest.org/documents/science-support-recovery-southwestern-willow-flycatcher-empidonax-traillii-extimus"},{"id":501176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego 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