{"pageNumber":"48","pageRowStart":"1175","pageSize":"25","recordCount":185143,"records":[{"id":70275566,"text":"70275566 - 2025 - The abiotic background as a central component of a Sample Safety Assessment Protocol for Mars Sample Return","interactions":[],"lastModifiedDate":"2026-05-06T15:09:34.434022","indexId":"70275566","displayToPublicDate":"2025-10-10T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"The abiotic background as a central component of a Sample Safety Assessment Protocol for Mars Sample Return","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Martian rock and regolith samples are being collected and cached by NASA’s Perseverance rover, with the goal of returning them to Earth as soon as the mid-2030s. Upon return, samples would be housed in a sample receiving facility under biological containment to prevent exposing Earth’s biosphere to any potential biohazards that might be present. Samples could be released from high containment for scientific investigations if they are found to be safe or are sterilized. The Sample Safety Assessment Protocol Tiger Team (SSAP-TT) was convened by the Sample Receiving Project between August 2023 and August 2024 and tasked with the development of a Sample Safety Assessment Protocol (SSAP). The result of this work is a proposed three-step protocol, supported by Bayesian statistical hypothesis testing, to assess the risk as to whether returned samples contain modern martian biology that could represent a biohazard. The proposed protocol outlines procedures to determine whether the samples could be safely released from high containment without sterilization or require a “hold and review” step. This article presents the central concept of the SSAP approach—comparing returned samples to the abiotic baseline. Organic molecules, which exist throughout the solar system, can have either biotic or abiotic origins. However, biotically produced organic molecules exhibit distinct complexity, distribution, and abundance characteristics that differentiate them from those formed through abiotic chemistry. The proposed protocol would examine the organic inventory of returned samples by using multiple techniques, including morphological and spectral assessments, to determine whether any signals exceed the abiotic baseline; that is, whether the organic molecular inventory could be explained solely by abiotic chemical synthesis. This approach provides a rigorous, yet feasible, safety assessment protocol by using modern techniques while minimizing sample consumption. We also identify key areas for future research and development, which include detection limits and further characterization of the martian abiotic background.</span></span></p>","language":"English","publisher":"SAGE Publications","doi":"10.1177/15311074251382156","usgsCitation":"Teece, B.L., Beaty, D.W., Graham, H.V., McDonnell, G., Sherwood Lollar, B., Siljeström, S.M., Steele, A., SSAP Tiger Team, Mackelprang, R., Ahern, B.M., Baird, N., Cressie, N., Davis, R., French, K.L., Glamoclija, M., Hummel, K.B., Mayhew, L.E., McQuiston, J., Page, W., Pearce, N., Regberg, A.B., Relman, D.A., Sephton, M., Shirey, T.B., Vanhomwegen, J., and Wilhelm, M.B., 2025, The abiotic background as a central component of a Sample Safety Assessment Protocol for Mars Sample Return: Astrobiology, v. 25, no. 10, p. 671-693, https://doi.org/10.1177/15311074251382156.","productDescription":"23 p.","startPage":"671","endPage":"693","ipdsId":"IP-176130","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504205,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/15311074251382156","text":"Publisher Index Page"},{"id":504009,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth, Mars","volume":"25","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Teece, Bronwyn L.","contributorId":371171,"corporation":false,"usgs":false,"family":"Teece","given":"Bronwyn","middleInitial":"L.","affiliations":[],"preferred":false,"id":961151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaty, David W.","contributorId":127511,"corporation":false,"usgs":false,"family":"Beaty","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Heather V.","contributorId":371172,"corporation":false,"usgs":false,"family":"Graham","given":"Heather","middleInitial":"V.","affiliations":[{"id":41678,"text":"Solar System Exploration Division, NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":961153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonnell, Gerald","contributorId":371173,"corporation":false,"usgs":false,"family":"McDonnell","given":"Gerald","affiliations":[],"preferred":false,"id":961154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood Lollar, Barbara","contributorId":18668,"corporation":false,"usgs":false,"family":"Sherwood Lollar","given":"Barbara","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":961155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siljeström, Sandra M.","contributorId":302702,"corporation":false,"usgs":false,"family":"Siljeström","given":"Sandra","middleInitial":"M.","affiliations":[{"id":65537,"text":"RISE Research Institutes of Sweden","active":true,"usgs":false}],"preferred":false,"id":961156,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steele, Andrew","contributorId":329943,"corporation":false,"usgs":false,"family":"Steele","given":"Andrew","affiliations":[{"id":30217,"text":"Carnegie Institution for Science","active":true,"usgs":false}],"preferred":false,"id":961157,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"SSAP Tiger Team","contributorId":371174,"corporation":false,"usgs":false,"family":"SSAP Tiger Team","affiliations":[],"preferred":false,"id":961158,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mackelprang, Rachel","contributorId":200882,"corporation":false,"usgs":false,"family":"Mackelprang","given":"Rachel","email":"","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":961159,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ahern, Brooke M.","contributorId":371209,"corporation":false,"usgs":false,"family":"Ahern","given":"Brooke","middleInitial":"M.","affiliations":[],"preferred":false,"id":961263,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baird, Nicolle","contributorId":371210,"corporation":false,"usgs":false,"family":"Baird","given":"Nicolle","affiliations":[],"preferred":false,"id":961264,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cressie, Noel","contributorId":200280,"corporation":false,"usgs":false,"family":"Cressie","given":"Noel","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":961265,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Davis, Richard","contributorId":194019,"corporation":false,"usgs":false,"family":"Davis","given":"Richard","email":"","affiliations":[],"preferred":false,"id":961266,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":961267,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Glamoclija, Mihaela","contributorId":140220,"corporation":false,"usgs":false,"family":"Glamoclija","given":"Mihaela","email":"","affiliations":[{"id":13418,"text":"Carnegie Inst. of Washington","active":true,"usgs":false}],"preferred":false,"id":961268,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hummel, Kimberly B.","contributorId":371211,"corporation":false,"usgs":false,"family":"Hummel","given":"Kimberly","middleInitial":"B.","affiliations":[],"preferred":false,"id":961269,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mayhew, Lisa E.","contributorId":296809,"corporation":false,"usgs":false,"family":"Mayhew","given":"Lisa","middleInitial":"E.","affiliations":[{"id":64189,"text":"Department of Geological Sciences, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":961270,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McQuiston, John","contributorId":371212,"corporation":false,"usgs":false,"family":"McQuiston","given":"John","affiliations":[],"preferred":false,"id":961271,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Page, William","contributorId":371213,"corporation":false,"usgs":false,"family":"Page","given":"William","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961272,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pearce, Neil","contributorId":371214,"corporation":false,"usgs":false,"family":"Pearce","given":"Neil","affiliations":[],"preferred":false,"id":961273,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Regberg, Aaron B.","contributorId":19074,"corporation":false,"usgs":true,"family":"Regberg","given":"Aaron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":961274,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Relman, David A.","contributorId":289201,"corporation":false,"usgs":false,"family":"Relman","given":"David","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":961275,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sephton, Mark","contributorId":302695,"corporation":false,"usgs":false,"family":"Sephton","given":"Mark","email":"","affiliations":[{"id":49191,"text":"Imperial College","active":true,"usgs":false}],"preferred":false,"id":961276,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Shirey, Timothy B.","contributorId":371215,"corporation":false,"usgs":false,"family":"Shirey","given":"Timothy","middleInitial":"B.","affiliations":[],"preferred":false,"id":961277,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Vanhomwegen, Jessica","contributorId":329946,"corporation":false,"usgs":false,"family":"Vanhomwegen","given":"Jessica","email":"","affiliations":[{"id":78745,"text":"Institut Pasteur","active":true,"usgs":false}],"preferred":false,"id":961278,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Wilhelm, Mary Beth","contributorId":371216,"corporation":false,"usgs":false,"family":"Wilhelm","given":"Mary","middleInitial":"Beth","affiliations":[],"preferred":false,"id":961279,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70272153,"text":"70272153 - 2025 - Agronomic practices vs. natural soil factors: Influences on nitrous oxide emissions from corn and soybean fields.","interactions":[],"lastModifiedDate":"2025-11-18T15:07:08.728499","indexId":"70272153","displayToPublicDate":"2025-10-09T09:03:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22711,"text":"Agronomy","active":true,"publicationSubtype":{"id":10}},"title":"Agronomic practices vs. natural soil factors: Influences on nitrous oxide emissions from corn and soybean fields.","docAbstract":"<p><span>Nitrous oxide (N</span><sub>2</sub><span>O), a potent greenhouse gas (GHG) and major contributor to climate change, is primarily released through agricultural activities. To better understand and quantify how land management practices, local climate conditions, and soil physicochemical properties affect these agricultural N</span><sub>2</sub><span>O emissions, we conducted a review of the peer-reviewed literature on N</span><sub>2</sub><span>O emission from corn [</span><span class=\"html-italic\">Zea mays</span><span>&nbsp;L.] and soybean [</span><span class=\"html-italic\">Glycine max</span><span>&nbsp;(L.) Merr.] fields. We evaluated the seasonal, cumulative effects of three nitrogen fertilizer rates—no fertilizer (0), low (&lt;188 kg N ha</span><sup>−1</sup><span>), and high (188–400 kg N ha</span><sup>−1</sup><span>)—tillage practices, local climate (precipitation and temperature), soil texture, and soil pH on soil N</span><sub>2</sub><span>O emissions. This meta-analysis included 77 articles for corn and 22 articles for soybean fields. Average N</span><sub>2</sub><span>O emissions during the corn rotation were 2.34 and 2.45 kg N</span><sub>2</sub><span>O-N ha</span><sup>−1</sup><span>&nbsp;season</span><sup>−1</sup><span>&nbsp;under low and high N fertilizer rates, respectively, and were both substantially (</span><span class=\"html-italic\">p</span><span>&nbsp;&lt; 0.0001) greater than those of non-fertilized corn fields (0.91 kg N</span><sub>2</sub><span>O-N ha</span><sup>−1</sup><span>&nbsp;season</span><sup>−1</sup><span>). Non-fertilized soybean fields showed seasonal N</span><sub>2</sub><span>O emissions of 0.74 kg N</span><sub>2</sub><span>O-N ha</span><sup>−1</sup><span>, while low fertilizer application triggered a sharp increase (1.87 kg N</span><sub>2</sub><span>O-N ha</span><sup>−1</sup><span>) in N</span><sub>2</sub><span>O emissions by roughly 2.5 times (</span><span class=\"html-italic\">p</span><span>&nbsp;&lt; 0.028). Increased temperature did not significantly (</span><span class=\"html-italic\">p</span><span>&nbsp;&gt; 0.05) affect the emission of N</span><sub>2</sub><span>O from fertilized or non-fertilized corn fields. Regardless of fertilization and tillage practices, our analysis, including Principal Component Analysis, revealed that in corn fields, precipitation and soil pH are the dominant factors influencing soil N</span><sub>2</sub><span>O emissions. This study uniquely quantifies the influence of climate–soil factors, such as precipitation and soil pH, alongside agronomic practices, on N</span><sub>2</sub><span>O emissions, offering new insights beyond previous reviews focused primarily on fertilizer rates or tillage effects.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/agronomy15102358","usgsCitation":"Ansari, J., Davis, M., Li, C., and Bansal, S., 2025, Agronomic practices vs. natural soil factors: Influences on nitrous oxide emissions from corn and soybean fields.: Agronomy, v. 15, no. 10, 2358, 25 p., https://doi.org/10.3390/agronomy15102358.","productDescription":"2358, 25 p.","ipdsId":"IP-158134","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":496729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agronomy15102358","text":"Publisher Index Page"},{"id":496578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ansari, Jamshid","contributorId":362260,"corporation":false,"usgs":false,"family":"Ansari","given":"Jamshid","affiliations":[],"preferred":false,"id":950253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Morgan","contributorId":362261,"corporation":false,"usgs":false,"family":"Davis","given":"Morgan","affiliations":[],"preferred":false,"id":950254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Chenhui","contributorId":362262,"corporation":false,"usgs":false,"family":"Li","given":"Chenhui","affiliations":[],"preferred":false,"id":950255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950256,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272219,"text":"70272219 - 2025 - Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers","interactions":[],"lastModifiedDate":"2025-11-19T16:03:43.592705","indexId":"70272219","displayToPublicDate":"2025-10-09T08:59:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers","docAbstract":"<p><span>North American sapsuckers are considered double keystone species because they (1) excavate nest cavities that are used by other birds, small mammals, and invertebrates, and (2) create and maintain sap wells, a temporary nutritional resource available to a variety of secondary consumers. Most previous reports of secondary sap consumption relied on human observers and were based on either brief or incidental observations. However, modern technology can greatly enhance observational techniques and provide additional insights into the functional, community-level importance of sap wells. We used visual surveys, camera traps, and environmental DNA (eDNA) to identify secondary consumers of sap from wells created by red-naped (</span><i>Sphyrapicus nuchalis</i><span>) and Williamson's (</span><i>S. thyroideus</i><span>) sapsuckers among three functional groups of shrubs and trees in south-central Colorado: shrub willows (</span><i>Salix</i><span>&nbsp;spp.), Rocky Mountain maple (</span><i>Acer glabrum</i><span>), and conifer trees (Pinopsida). Camera traps and eDNA revealed additional sap-well visitors not identified from direct observations. Camera traps were effective for detecting nocturnal sap-well visitors such as small rodents as well as occasional diurnal visitors. Environmental DNA analyses corroborated findings from other methods and identified four additional taxa as possible sap consumers. The physiology of sap-well visitors, such as the ability to taste and assimilate compounds within sap, may aid in determining consumption versus contact when evaluating the results of eDNA analyses. Total vertebrate taxa detected using all 3 methods included 17 bird taxa in 10 families within 3 orders and 8 mammal taxa in 6 families within 4 orders. Shrub-willow sap wells attracted the most diverse vertebrate taxa (23), followed by Rocky Mountain maple (13) and conifer trees (10). Invertebrates in 13 families within 3 orders were observed feeding from sap wells during visual surveys. Because many secondary sap consumers perform ecological services such as pollination, seed dispersal, and pest control, the methods described here may aid in elucidating the importance of sap-well creators in supporting biodiversity and ecosystem functioning.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72277","usgsCitation":"Clawges, R., Blair, S., Eitel, J., Svancara, L.K., Vierling, L.A., and Vierling, K., 2025, Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers: Ecology and Evolution, v. 15, no. 10, e72277, 18 p., https://doi.org/10.1002/ece3.72277.","productDescription":"e72277, 18 p.","ipdsId":"IP-177667","costCenters":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72277","text":"Publisher Index Page"},{"id":496642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Custer Couty, Huerfano County, Pueblo County","otherGeospatial":"Wet Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.56183958865896,\n              38.22746340134614\n            ],\n            [\n              -106.56183958865896,\n              37.04012010581634\n            ],\n            [\n              -104.6650515745562,\n              37.04012010581634\n            ],\n            [\n              -104.6650515745562,\n              38.22746340134614\n            ],\n            [\n              -106.56183958865896,\n              38.22746340134614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Clawges, Richard","contributorId":362438,"corporation":false,"usgs":false,"family":"Clawges","given":"Richard","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blair, Shannon","contributorId":354984,"corporation":false,"usgs":false,"family":"Blair","given":"Shannon","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eitel, Jan H.","contributorId":236991,"corporation":false,"usgs":false,"family":"Eitel","given":"Jan H.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svancara, Leona Kay 0009-0007-1936-6079","orcid":"https://orcid.org/0009-0007-1936-6079","contributorId":359789,"corporation":false,"usgs":true,"family":"Svancara","given":"Leona","middleInitial":"Kay","affiliations":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vierling, Lee A.","contributorId":169443,"corporation":false,"usgs":false,"family":"Vierling","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":950480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vierling, Kerri","contributorId":280031,"corporation":false,"usgs":false,"family":"Vierling","given":"Kerri","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":950481,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273161,"text":"70273161 - 2025 - Initial responses of songbird communities to forest reclamation on legacy surface mines","interactions":[],"lastModifiedDate":"2025-12-17T14:58:18.760746","indexId":"70273161","displayToPublicDate":"2025-10-09T08:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Initial responses of songbird communities to forest reclamation on legacy surface mines","docAbstract":"<p><span>Surface coal mining and subsequent reclamation efforts in the Appalachian Mountains, USA, transform the ecological characteristics of natural landscapes. The Forestry Reclamation Approach (FRA) is a mine reclamation method that emphasizes best management practices in forestry. FRA practices have demonstrated success in establishing native forests and accelerating natural succession on coal mines; however, no studies have empirically examined the effects of the FRA on bird communities. Our study aimed to assess the avian community composition within young forests reclaimed using the FRA after one decade of forest growth. Whereas traditional reclamation practices often support grassland avian guilds, we expected that the FRA would provide habitat for shrubland and young forest avian guilds. Moreover, we sought to determine whether FRA forests would contain known avian indicator species of the native forest land cover. In June 2022, we conducted point count surveys in high-elevation, red spruce-northern hardwood (RS-NH) forests in the Appalachian Mountains of eastern West Virginia, USA. Using Bayesian multispecies occupancy models, we assessed avian guild occupancy and species richness within two FRA forest age classes (2–5 years and 8–11 years). We also examined avian community composition within two older RS-NH reference age classes to predict the future avian composition within FRA forests if reclamation succeeds. We found that the FRA breeding bird community included all of the avian indicator species expected to inhabit a young RS-NH forest. These results suggest that after approximately one decade, legacy mines reclaimed using the FRA are progressing toward a native RS-NH forest that supports associated forest bird communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70423","usgsCitation":"Davenport, R.N., Barton, C.D., Cox, J., Guzy, J.C., Sherman, L., Larkin, J.L., Fearer, T., and Price, S.J., 2025, Initial responses of songbird communities to forest reclamation on legacy surface mines: Ecosphere, v. 16, no. 10, e70423, 15 p., https://doi.org/10.1002/ecs2.70423.","productDescription":"e70423, 15 p.","ipdsId":"IP-157888","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70423","text":"Publisher Index Page"},{"id":497631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.9833,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.6833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Rebecca N.","contributorId":364334,"corporation":false,"usgs":false,"family":"Davenport","given":"Rebecca","middleInitial":"N.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, John J.","contributorId":140196,"corporation":false,"usgs":false,"family":"Cox","given":"John J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherman, Lauren","contributorId":336563,"corporation":false,"usgs":false,"family":"Sherman","given":"Lauren","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":364335,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":952546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fearer, Todd","contributorId":264971,"corporation":false,"usgs":false,"family":"Fearer","given":"Todd","affiliations":[{"id":54600,"text":"Appalacian Mountains Joint Venture","active":true,"usgs":false}],"preferred":false,"id":952547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Steven J.","contributorId":364336,"corporation":false,"usgs":false,"family":"Price","given":"Steven","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273034,"text":"70273034 - 2025 - Postrelease movements of captive-reared adult Atlantic Salmon in two Maine rivers","interactions":[],"lastModifiedDate":"2026-01-22T16:44:17.408711","indexId":"70273034","displayToPublicDate":"2025-10-08T10:59:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Postrelease movements of captive-reared adult Atlantic Salmon in two Maine rivers","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Atlantic Salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>remain at critically low levels in the United States, with the last remaining populations located in the state of Maine. In 2021, a pilot captive-rearing program, similar to a smolt-to-adult supplementation, was implemented to boost naturally spawning adults in support of recovery goals.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We conducted a 2-year acoustic telemetry study to track a subset of captive-reared salmon (<i>N</i><span>&nbsp;</span>= 270) that were released into the Penobscot and Machias rivers. We evaluated their postrelease movement patterns, dam passage, and site fidelity between the two rivers, years, and seasons.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Atlantic Salmon that were released into the Penobscot River tended to overwinter, but their movement patterns varied between release years. In contrast, the Atlantic Salmon that were released into the Machias River were more likely to move directly downstream to the river exit. In addition, the fish that were released into the dammed Penobscot River frequently made multiple attempts to pass dams in both directions, often with passage delays and failures. Atlantic Salmon that were released during the summer displayed more exploratory movements than those that were released in the fall. Most Atlantic Salmon either left the river shortly after release (5–30 d) or the following spring (&gt;120 d). Site fidelity was greater for the fall-released Atlantic Salmon (76%) than for the summer-released Atlantic Salmon (23%).</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Overall, releasing salmon in the fall as sexually mature adults may increase site fidelity to the release reach, thereby enhancing the chances of successfully spawning in the wild.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf074","usgsCitation":"Merriam, C.A., Frechette, D., and Zydlewski, J.D., 2025, Postrelease movements of captive-reared adult Atlantic Salmon in two Maine rivers: North American Journal of Fisheries Management, v. 45, no. 6, p. 1012-1028, https://doi.org/10.1093/najfmt/vqaf074.","productDescription":"17 p.","startPage":"1012","endPage":"1028","ipdsId":"IP-175661","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Machias River, Penobscot River","volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriam, Carolyn A.","contributorId":363947,"corporation":false,"usgs":false,"family":"Merriam","given":"Carolyn","middleInitial":"A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":952123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frechette, Danielle","contributorId":347942,"corporation":false,"usgs":false,"family":"Frechette","given":"Danielle","affiliations":[{"id":68617,"text":"Maine Department of Marine Resources","active":true,"usgs":false}],"preferred":false,"id":952124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":952125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272043,"text":"70272043 - 2025 - Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry","interactions":[],"lastModifiedDate":"2025-11-14T15:19:41.352122","indexId":"70272043","displayToPublicDate":"2025-10-08T09:15:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry","docAbstract":"<p><span>Evaluation of thermal maturity in vitrinite-free or vitrinite-deficient sediments via fluorescence microspectrometry can provide relevant information related to petroleum exploration and thermal history assessment. However, variation in spectral fluorescence properties of alginite macerals with increasing thermal maturity is largely underexplored. Here, authors of this study have applied confocal laser-scanning microscopy (CLSM) in conjunction with fluorescence microspectrometry to a maturity series of marine Upper Devonian&nbsp;</span><i>Tasmanites</i><span>&nbsp;algae from the Ohio Shale (Huron Member) and a single sample from the Marcellus Formation of the Appalachian Basin. Spectral fluorescence properties of&nbsp;</span><i>Tasmanites</i><span>&nbsp;were evaluated in relation to orientation, measurement location, and the number of measurements per sample, and were compared to published literature. Emission spectra of&nbsp;</span><i>Tasmanites</i><span>&nbsp;from continuous wave laser excitation (405&nbsp;nm) were acquired from sections perpendicular and parallel to bedding and at different positions within individual&nbsp;</span><i>Tasmanites</i><span>&nbsp;bodies. The results showed a progressive red-shift in emission maxima (λ</span><sub>max</sub><span>) in a large sample sized maturity series (</span><i>N</i><span>&nbsp;=&nbsp;19), e.g., 493 to 578&nbsp;nm for the perpendicular section at middle position. Further, blue-shifted apex and mineral-adjacent positions within sections perpendicular to bedding were observed, with the latter being reported here for the first time. While blue-shift at apex positions can be attributed to mechanical deformation-induced reorientation of photoselected fluorophores, the blue-shifted mineral-adjacent positions could result from strain loading and development of a plastic deformation region at the mineral contact zone with&nbsp;</span><i>Tasmanites</i><span>. A decrease in standard deviation with increasing number of measured emission maxima is well-observed, and 15 to 20 individual measurements per sample appears sufficient for low standard deviation and coefficient of variance. CLSM-derived thermal maturity parameters indicated that a moderate positive correlation of red/green quotient (Q</span><sub>650/500</sub><span>; R</span><sup>2</sup><span>&nbsp;=&nbsp;0.67) with solid bitumen reflectance (BR</span><sub>o</sub><span>&nbsp;in %) exists. For reproducible results, the determination of λ</span><sub>max</sub><span>&nbsp;and Q</span><sub>650/500</sub><span>&nbsp;should be conducted exclusively in the middle position at perpendicular and parallel sections of the polished whole-rock pellets, where the lowest standard deviation in measurement was observed. These results strengthen the suitability and relevance of the CLSM technique in thermal maturity studies of dispersed organic matter (DOM) and contribute to the standardization of fluorescence microspectrometry methods in organic petrology investigation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2025.104885","usgsCitation":"Kus, J., and Hackley, P.C., 2025, Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry: International Journal of Coal Geology, v. 310, 104885, 16 p., https://doi.org/10.1016/j.coal.2025.104885.","productDescription":"104885, 16 p.","ipdsId":"IP-173105","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2025.104885","text":"Publisher Index Page"},{"id":496478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Ohio, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.64749053543926,\n              42.054831551917516\n            ],\n            [\n              -84.5,\n              42.054831551917516\n            ],\n            [\n              -84.5,\n              36.517775865399514\n            ],\n            [\n              -80.64749053543926,\n              36.517775865399514\n            ],\n            [\n              -80.64749053543926,\n              42.054831551917516\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, Jolanta","contributorId":289942,"corporation":false,"usgs":false,"family":"Kus","given":"Jolanta","affiliations":[{"id":62291,"text":"BGR.de","active":true,"usgs":false}],"preferred":false,"id":949837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273132,"text":"70273132 - 2025 - Longevity, age-specific survival, and mean generation time of Rana muscosa: Implications for conservation of possibly the longest lived Ranid frog","interactions":[],"lastModifiedDate":"2025-12-16T14:51:28.664901","indexId":"70273132","displayToPublicDate":"2025-10-08T08:45:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Longevity, age-specific survival, and mean generation time of Rana muscosa: Implications for conservation of possibly the longest lived Ranid frog","docAbstract":"<p><span>Life history strategies vary widely among species and play a vital role in extinction risk, especially in a rapidly changing environment. For many taxa, information on life history such as longevity, lifespan, and generation time is incomplete. This is especially true for amphibians, which have experienced large-scale declines in recent decades. The mountain yellow-legged frog (</span><i>Rana muscosa</i><span>) is a California endemic recognized as a state and federally endangered species. We evaluated a 23-year dataset of six wild&nbsp;</span><i>R. muscosa</i><span>&nbsp;populations in southern California. We calculated the average lifespan of individuals in these six populations to be approximately 9.5 years, with a mean generation time of 7.4 years. We did not detect a difference in longevity between sexes or a difference in apparent survival across various ages of adults. We also documented the longest-lived ranid frog ever recorded from a wild population: a male&nbsp;</span><i>R. muscosa</i><span>&nbsp;that was at least 21 years old. Our results suggest a relatively long generation time for this species, a characteristic that may benefit them because reproduction is regularly challenged by drought, fire activity, and disease. This information is important for understanding the complex life history of this endangered ranid frog and can help guide efforts to manage and recover the species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72213","usgsCitation":"Hitchcock, C.J., Backlin, A.R., Goldberg, A.R., Thomsen, S.K., Muths, E., Gallegos, E., and Fisher, R.D., 2025, Longevity, age-specific survival, and mean generation time of Rana muscosa: Implications for conservation of possibly the longest lived Ranid frog: Ecology and Evolution, v. 15, no. 10, e72213, 11 p., https://doi.org/10.1002/ece3.72213.","productDescription":"e72213, 11 p.","ipdsId":"IP-178709","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72213","text":"Publisher Index Page"},{"id":497564,"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              -118.5,\n              34.5\n            ],\n            [\n              -118.5,\n              33.5\n            ],\n            [\n              -116.5,\n              33.5\n            ],\n            [\n              -116.5,\n              34.5\n            ],\n            [\n              -118.5,\n              34.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitchcock, Cynthia Joan 0000-0001-9293-043X","orcid":"https://orcid.org/0000-0001-9293-043X","contributorId":225261,"corporation":false,"usgs":true,"family":"Hitchcock","given":"Cynthia","email":"","middleInitial":"Joan","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Amanda Renee 0000-0003-3094-8241","orcid":"https://orcid.org/0000-0003-3094-8241","contributorId":364259,"corporation":false,"usgs":true,"family":"Goldberg","given":"Amanda","middleInitial":"Renee","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomsen, Sarah Kay 0000-0001-5964-7536","orcid":"https://orcid.org/0000-0001-5964-7536","contributorId":330754,"corporation":false,"usgs":true,"family":"Thomsen","given":"Sarah","email":"","middleInitial":"Kay","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":952409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":952411,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272199,"text":"70272199 - 2025 - Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States","interactions":[],"lastModifiedDate":"2025-11-20T14:20:07.393739","indexId":"70272199","displayToPublicDate":"2025-10-08T08:40:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States","docAbstract":"<p><span>Questions remain about the distribution of per- and polyfluoroalkyl substances (PFAS) in the environment, the sources and movement within and between ecosystems, and whether there are effects from such exposure. Information from the Upper Midwest and the mid-Atlantic regions of the United States, which have different PFAS sources, were investigated. Concentrations of Total</span><sub>40</sub><span>&nbsp;(sum of 40 PFAS), perfluorooctane sulfonate, perfluorohexane sulfonate, and Total</span><sub>13</sub><span>&nbsp;(sum of 13 PFAS) were consistently higher, by as much as a factor of 40, in tree swallow (</span><i>Tachycineta bicolor</i><span>) tissue samples (eggs, nestlings, and diet) at sites along the East Coast, where aqueous film-forming foams (AFFF) were extensively used when compared with East Coast reference sites. Sites in the Upper Midwest, with other PFAS sources, had qualitatively lower concentrations of PFAS than AFFF source sites. Perfluorooctane sulfonate was the only PFAS detected in all samples. Concentrations of most other PFAS, such as the carboxylates and fluorotelomers, did not differ between AFFF and reference sites. Perfluorohexane sulfonate, the second-most common constituent of some legacy AFFF formulations, was &lt;1% of Total</span><sub>40</sub><span>&nbsp;at the reference sites in eggs and nestlings, but perfluorohexane sulfonate represented up to 9.7% (eggs) and 9.0% (nestlings) at AFFF-influenced sites. Despite differences in PFAS exposure, the daily probability of egg and nestling survival, as well as haptoglobin-like activity (PIT54) and total immunoglobulin Y, was similar across all sites. There were also no significant associations between these end points and concentrations of Total</span><sub>40</sub><span>&nbsp;or individual PFAS in eggs or nestlings.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf207","usgsCitation":"Custer, C.M., Dummer, P.M., Schultz, S.L., Karouna-Renier, N., and Matson, C.W., 2025, Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States: Environmental Toxicology and Chemistry, v. 44, no. 11, p. 3159-3191, https://doi.org/10.1093/etojnl/vgaf207.","productDescription":"33 p.","startPage":"3159","endPage":"3191","ipdsId":"IP-173181","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"East Coast, Upper Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -69.67398671307569,\n              48.00020834558444\n            ],\n            [\n              -78.77194547995512,\n              43.96819919165159\n            ],\n            [\n              -78.43793485353297,\n              42.23585319711049\n            ],\n            [\n              -75.42775284050555,\n              36.67513017535144\n            ],\n            [\n              -67.63700987323536,\n              42.39377603789744\n            ],\n            [\n              -66.75591617258152,\n             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ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matson, Cole W.","contributorId":362404,"corporation":false,"usgs":false,"family":"Matson","given":"Cole","middleInitial":"W.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":950422,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273902,"text":"70273902 - 2025 - Experimental warming alters free-living nitrogen fixation in a humid tropical forest","interactions":[],"lastModifiedDate":"2026-02-12T15:30:52.35482","indexId":"70273902","displayToPublicDate":"2025-10-08T08:23:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Experimental warming alters free-living nitrogen fixation in a humid tropical forest","docAbstract":"<p>Microbial nitrogen (N) fixation accounts for c. 97% of natural N inputs to terrestrial ecosystems. These microbes can be free-living in the soil and leaf litter (asymbiotic) or in symbiosis with plants. Warming is expected to increase N-fixation rates because warmer temperatures favor the growth and activity of N-fixing microbes.&nbsp;</p><p>We investigated the effects of warming on asymbiotic components of N fixation at a field warming experiment in Puerto Rico. We analyzed the function and composition of bacterial communities from surface soil and leaf litter samples. Warming significantly increased asymbiotic N-fixation rates in soil by 55% <span>(to 0.002 kg ha</span><sup>−1</sup><span> yr</span><sup>−1</sup><span>)</span> and by 525% in leaf litter <span>(to 14.518 kg ha</span><sup>−1</sup><span> yr</span><sup>−1</sup><span>)</span>. This increase in N fixation was associated with changes in the N-fixing bacterial community composition and soil nutrients. </p><p>Our findings suggest that warming increases the natural N inputs from the atmosphere into this tropical forest due to changes in microbial function and composition, especially in the leaf litter. Given the importance of leaf litter in nutrient cycling, future research should investigate other aspects of N cycles in the leaf litter under warming conditions.</p>","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70592","usgsCitation":"Bartz, P.M., Grullón-Penkova, I.F., Cavaleri, M.A., Reed, S.C., Shahid, S., Wood, T.E., and Bachelot, B., 2025, Experimental warming alters free-living nitrogen fixation in a humid tropical forest: New Phytologist, v. 248, no. 6, p. 2750-2763, https://doi.org/10.1111/nph.70592.","productDescription":"14 p.","startPage":"2750","endPage":"2763","ipdsId":"IP-183096","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70592","text":"Publisher Index Page"},{"id":499804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Luquillo Experimental Forest, northeastern Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -65.86841127907454,\n              18.363328307173546\n            ],\n            [\n              -65.86841127907454,\n              18.22384237790817\n            ],\n            [\n              -65.70802904561418,\n              18.22384237790817\n            ],\n            [\n              -65.70802904561418,\n              18.363328307173546\n            ],\n            [\n              -65.86841127907454,\n              18.363328307173546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"248","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartz, Parker M.","contributorId":366365,"corporation":false,"usgs":false,"family":"Bartz","given":"Parker","middleInitial":"M.","affiliations":[{"id":87461,"text":"Department of Biology, Oklahoma State University, Stillwater, OK, 74078, USA","active":true,"usgs":false}],"preferred":false,"id":955694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grullón-Penkova, Iana F.","contributorId":366366,"corporation":false,"usgs":false,"family":"Grullón-Penkova","given":"Iana","middleInitial":"F.","affiliations":[{"id":87462,"text":"USDA Forest Service International Institute of Tropical Forestry, Rio Piedras, Puerto Rico, 00926, USA","active":true,"usgs":false}],"preferred":false,"id":955695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavaleri, Molly A.","contributorId":366367,"corporation":false,"usgs":false,"family":"Cavaleri","given":"Molly","middleInitial":"A.","affiliations":[{"id":87463,"text":"College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, 49931, USA","active":true,"usgs":false}],"preferred":false,"id":955696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":955697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shahid, Saima","contributorId":366368,"corporation":false,"usgs":false,"family":"Shahid","given":"Saima","affiliations":[{"id":87464,"text":"Dept. of Biology, Oklahoma State University, Stillwater, OK, 74078, USA; Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, South Yorkshire, S10 2TN, UK","active":true,"usgs":false}],"preferred":false,"id":955698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Tana E.","contributorId":197805,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[],"preferred":false,"id":955699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bachelot, Benedicte","contributorId":294542,"corporation":false,"usgs":false,"family":"Bachelot","given":"Benedicte","email":"","affiliations":[{"id":63597,"text":"Department of Plant Biology, Ecology, and Evolution, Oklahoma State University, Stillwater, OK, USA","active":true,"usgs":false}],"preferred":false,"id":955700,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272763,"text":"70272763 - 2025 - Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","interactions":[],"lastModifiedDate":"2026-01-07T17:38:24.690661","indexId":"70272763","displayToPublicDate":"2025-10-08T08:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The coastal Cactus Wren (</span><i>Campylorhynchus brunneicapillus</i><span>) persists in small and fragmented populations throughout southern California that are subject to genetic drift and inbreeding. We combined individual banding and resighting data and genotyped individuals at 22 microsatellite loci to assess whether heterozygosity was associated with survival across three regional Cactus Wren populations on conserved lands in Orange and San Diego Counties between 2009 and 2020. Using Cormack-Jolly-Seber models (CJS) to analyze the 5-year capture histories of 528 individual wrens, we found that age class (hatch year or after hatch year) was the strongest predictor of survival. Individual heterozygosity and precipitation also had positive effects on survival, with survival up to 2 times higher in the most heterozygous individuals compared to the least and up to 1.5 times higher in high precipitation years versus drought years. Multi-locus heterozygosity was significantly correlated across loci, suggesting that inbreeding depression is likely driving the association between survival and heterozygosity. Study results support that genetic rescue efforts that reduce inbreeding have the potential to improve fitness and mitigate further loss of genetic variation in managed populations.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70155","usgsCitation":"Vandergast, A.G., Mitelberg, A., Kus, B.E., Preston, K.L., Lynn, S., Houston, A., and Klinger, R.C., 2025, Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape: Conservation Science and Practice, v. 7, no. 12, e70155, 14 p., https://doi.org/10.1111/csp2.70155.","productDescription":"e70155, 14 p.","ipdsId":"IP-180356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497185,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497395,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70155","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Orange County, San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":203745,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara","email":"barbara_kus@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klinger, Robert C.","contributorId":363410,"corporation":false,"usgs":false,"family":"Klinger","given":"Robert","middleInitial":"C.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":951641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273841,"text":"70273841 - 2025 - Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island","interactions":[],"lastModifiedDate":"2026-02-06T15:04:57.311975","indexId":"70273841","displayToPublicDate":"2025-10-08T08:00:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23288,"text":"Arctic Antarctic and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Bering Land Bridge (BLB) climate and vegetation during the Last Glacial Maximum (LGM) remains largely understudied, given challenges associated with collecting records from the submerged BLB. Previous records, confined to the margins of the modern land area and adjacent shelf, reveal conflicting interpretations of Beringian vegetation during the LGM. Here, we reconstruct LGM vegetation, sedimentology, and stable isotopes from a central BLB paleo-lake (Lake Knebel, LK) and compare it with a Holocene peat record from nearby St. Matthew Island (SMI). Results show strong similarities between LGM and late Holocene pollen assemblages, although with differences in relative taxonomic abundance. LGM communities are consistent with a cold and dry steppe or herb tundra environment but suggest the possibility of localized Betula presence in low-lying areas. LK’s bedded lacustrine stratigraphy transitions into undisturbed marine sediments by ~19&nbsp;ka, providing a maximum limiting age of the transgression. Shrub absence on SMI today and during the Holocene is consistent with island isolation before ~14 to 15&nbsp;ka, when Betula expanded rapidly at most sites with Bølling-Allerød warming. The combined vegetation evidence indicates preservation of LGM tundra and steppe vegetation assemblages on SMI, suggesting that island vegetation communities may provide additional constraints on the timing of sea level transgression.</span></span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2025.2557062","usgsCitation":"Jones, M.C., Anderson, L., Caissie, B.E., Harning, D.J., and Ager, T.A., 2025, Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island: Arctic Antarctic and Alpine Research, v. 57, no. 1, 2557062, 21 p., https://doi.org/10.1080/15230430.2025.2557062.","productDescription":"2557062, 21 p.","ipdsId":"IP-178054","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2557062","text":"Publisher Index Page"},{"id":499647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Land Bridge, St. Matthew Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -173.87930380308052,\n              63.86224983419106\n            ],\n            [\n              -173.87930380308052,\n              60.66791533892487\n            ],\n            [\n              -161.92701451875794,\n              60.66791533892487\n            ],\n            [\n              -161.92701451875794,\n              63.86224983419106\n            ],\n            [\n              -173.87930380308052,\n              63.86224983419106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":955186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harning, David J.","contributorId":366035,"corporation":false,"usgs":false,"family":"Harning","given":"David","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":955187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ager, Thomas A. 0000-0002-5029-7581 tager@usgs.gov","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":736,"corporation":false,"usgs":true,"family":"Ager","given":"Thomas","email":"tager@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955188,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275558,"text":"70275558 - 2025 - Mars Sample Return Sample Receiving Project measurement definition team final report","interactions":[],"lastModifiedDate":"2026-05-06T15:14:44.50181","indexId":"70275558","displayToPublicDate":"2025-10-08T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Mars Sample Return Sample Receiving Project measurement definition team final report","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Sage Publications","doi":"10.1177/15311074251382248","usgsCitation":"Carrier, B.L., Sefton-Nash, E., Graham, H.V., Bridges, J.C., Debaille, V., Herd, C.D., Fox, A.C., French, K.L., Haltigin, T., Hausrath, E.M., Krzesinska, A.M., Paardekooper, D., Rampe, E.B., Schwenzer, S.P., Viotti, M., Duprat, J., Ferrari, M., Glamoclija, M., 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,{"id":70274119,"text":"70274119 - 2025 - Mapping a Carrington storm","interactions":[],"lastModifiedDate":"2026-02-26T17:25:32.943003","indexId":"70274119","displayToPublicDate":"2025-10-07T10:16:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping a Carrington storm","docAbstract":"<p><span>A map is presented of median 1-min-resolution peak geoelectric-field strength across the United States as would be induced by magnetic storms as intense as the 2 September 1859 Carrington storm. The map is constructed from two data sets: Magnetometer time series from 22 ground-based observatories recording 40 magnetic storms, and surface impedance tensors derived from magnetotelluric measurements acquired at 1616 survey sites across the contiguous United States. Carrington-class storm geoelectric fields are likely to be very strong in the United States East and Midwest; &gt; <strong>5.00 </strong></span><span>V/km at many places. In Virginia, strengths would likely range from 30.30&nbsp;V/km, with a 68% confidence interval of [19.44,47.20] V/km, to as low as 0.05 [0.03,0.07] V/km. Comparison of model geopotentials with those measured on 30 long lines, indicates errors of about 18%. A Carrington-class storm would likely induce geoelectric fields with strengths 55% greater than for the 13–14 March 1989 storm.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116835","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Rigler, E.J., Bedrosian, P.A., and Schnepf, N.R., 2025, Mapping a Carrington storm: Geophysical Research Letters, v. 52, no. 19, e2025GL116835, 12 p., https://doi.org/10.1029/2025GL116835.","productDescription":"e2025GL116835, 12 p.","ipdsId":"IP-178833","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116835","text":"Publisher Index Page"},{"id":500557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous 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jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":367021,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":956591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":367022,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":956592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":956594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schnepf, Neesha R.","contributorId":367027,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":956595,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272273,"text":"70272273 - 2025 - Estimating recruitment of Largemouth Bass to exceptional weights using angler-reported catches","interactions":[],"lastModifiedDate":"2026-01-22T16:30:03.333116","indexId":"70272273","displayToPublicDate":"2025-10-07T10:13:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating recruitment of Largemouth Bass to exceptional weights using angler-reported catches","docAbstract":"<h2 id=\"538412594\" class=\"abstract-title js-splitscreen-abstract-title\">ABSTRACT</h2><div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Although most facets of Largemouth Bass<span>&nbsp;</span><i>Micropterus nigricans</i><span>&nbsp;</span>ecology have been researched, the upper tiers of weight distributions (i.e., ≥3.6 kg; herein, “lunkers”) have received little attention due to the challenges of collecting sufficient sample sizes. Our aim was to estimate Largemouth Bass recruitment to higher weights after reaching 3.6 kg and to identify factors correlated with such recruitment.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We used an online database of angler-reported catches to investigate recruitment of Largemouth Bass after reaching lunker size and to identify associated factors. Recruitment was indexed by the slopes of the reversed cumulative counts relative to increasing weights, with gentler negative slopes indicating higher recruitment. The influence of environmental variables on these slopes identified the factors associated with recruitment.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">An average of 20% (minimum = 4%; maximum = 45%) of lunker bass were estimated to recruit after reaching 3.6 kg. When expanded, these estimates revealed that recruitment from 3.6 to 4.5 kg averaged 23.5% and recruitment from 3.6 to 5.9 kg averaged 2.5%. The observed recruitment was positively correlated with the frequency of Florida Bass<span>&nbsp;</span><i>M. salmoides</i><span>&nbsp;</span>alleles in the population and was inversely correlated with human population densities in the vicinity of the reservoir and with chlorophyll-<i>a</i><span>&nbsp;</span>concentrations in the environment.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Recruitment of Largemouth Bass after reaching 3.6 kg appears to require a nuanced equilibrium enabled by a higher frequency of Florida Bass alleles, a remote location of the fishery, and a reservoir trophic state that balances adequate environmental conditions and food supply.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf082","usgsCitation":"Miranda, L.E., Griffin, F., Goldstrohm, N., Neal, J.W., and Lang, T.J., 2025, Estimating recruitment of Largemouth Bass to exceptional weights using angler-reported catches: North American Journal of Fisheries Management, v. 45, no. 6, p. 1001-1011, https://doi.org/10.1093/najfmt/vqaf082.","productDescription":"11 p.","startPage":"1001","endPage":"1011","ipdsId":"IP-173874","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-07","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":950635,"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":950636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstrohm, Natalie","contributorId":217292,"corporation":false,"usgs":false,"family":"Goldstrohm","given":"Natalie","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":950637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":950638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":950639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273503,"text":"70273503 - 2025 - Near real-time indicators of burn severity in the western U.S. from active fire tracking","interactions":[],"lastModifiedDate":"2026-01-20T15:25:21.631459","indexId":"70273503","displayToPublicDate":"2025-10-07T08:18:27","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":"Near real-time indicators of burn severity in the western U.S. from active fire tracking","docAbstract":"<p>Background</p><p><span>Timely information on wildfire burn severity is critical to assess and mitigate potential post-fire impacts on soils, vegetation, and hillslope stability. Tracking individual fire spread and intensity using satellite active fire data provides a pathway to near real-time (NRT) information. Here, we generated a large database (</span><i>n</i><span> = 2177) of wildfire events in the western United States (U.S.) between 2012 and 2021 using active fire detections from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (SNPP) satellite and the Fire Events Data Suite (FEDS) algorithm to track large fire growth every 12&nbsp;h. We integrated fire tracking data with final fire perimeters and burn severity data from the Monitoring Trends in Burn Severity (MTBS) program to evaluate the relationship between burn severity and fire behavior metrics derived from the fire tracking approach, including the rate of fire spread and average fire radiative power (FRP) of fire detections for each 12-h growth increment.</span></p><p><span>Results</span></p><p><span>When stratified by vegetation type, FRP and rate of spread metrics were positively correlated with classified burn severity for each 12-h growth increment, highlighting the potential to rapidly identify areas of high and low severity burning. In forests, integrated measures of FRP over the fire lifetime captured persistent flaming and smoldering that compensated for initial differences between AM (01:30) and PM (13:30) fire detections. Predictive modeling of these relationships based on multiple fire behavior indicators and vegetation type from the LANDFIRE program yielded an accuracy of 78% for the separation of unburned/low and moderate/high burn severity classes.</span></p><p><span>Conclusions</span></p><p><span>These results demonstrate the ability to capture within-fire differences in burn severity using NRT indicators from fire tracking to assist with emergency management and disaster preparedness for post-fire hazards, such as landslides, debris flows, or changes in stream flow and water quality. As VIIRS data are available within minutes of each satellite overpass in the U.S., rapid estimates of burn severity based on fire tracking can be made days or weeks before a large wildfire is fully contained.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00407-x","usgsCitation":"Orland, E., McCabe, T., Chen, Y., Scholten, R.C., Becker, Z., Loehman, R.A., Randerson, J.T., Coffield, S.R., Liu, T., Shiklomanov, A.N., Nelson, K., Peterson, B., Follette-Cook, M.B., and Morton, D.C., 2025, Near real-time indicators of burn severity in the western U.S. from active fire tracking: Fire Ecology, v. 21, 55, 18 p., https://doi.org/10.1186/s42408-025-00407-x.","productDescription":"55, 18 p.","ipdsId":"IP-170216","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":498919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00407-x","text":"Publisher Index Page"},{"id":498774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.28023348660705,\n              49.14849222332691\n            ],\n            [\n              -124.28023348660705,\n              31.366087454025504\n            ],\n            [\n              -101.57330654663889,\n              31.366087454025504\n            ],\n            [\n              -101.57330654663889,\n              49.14849222332691\n            ],\n            [\n              -124.28023348660705,\n              49.14849222332691\n            ]\n          ]\n        ],\n 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Yang","contributorId":192429,"corporation":false,"usgs":false,"family":"Chen","given":"Yang","email":"","affiliations":[],"preferred":false,"id":954033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scholten, Rebecca C. 0000-0002-0144-0572","orcid":"https://orcid.org/0000-0002-0144-0572","contributorId":365276,"corporation":false,"usgs":false,"family":"Scholten","given":"Rebecca","middleInitial":"C.","affiliations":[{"id":87119,"text":"Univ California Irvine","active":true,"usgs":false}],"preferred":false,"id":954034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, Zeb 0009-0008-1003-5529","orcid":"https://orcid.org/0009-0008-1003-5529","contributorId":365277,"corporation":false,"usgs":false,"family":"Becker","given":"Zeb","affiliations":[{"id":87120,"text":"NASA Goddard Space Flight Center/Univ Maryland","active":true,"usgs":false}],"preferred":false,"id":954035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":954036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randerson, James T. 0000-0001-6559-7387","orcid":"https://orcid.org/0000-0001-6559-7387","contributorId":365278,"corporation":false,"usgs":false,"family":"Randerson","given":"James","middleInitial":"T.","affiliations":[{"id":87119,"text":"Univ California Irvine","active":true,"usgs":false}],"preferred":false,"id":954037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coffield, Shane R. 0000-0002-0550-5126","orcid":"https://orcid.org/0000-0002-0550-5126","contributorId":365279,"corporation":false,"usgs":false,"family":"Coffield","given":"Shane","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Tianjia 0000-0003-3129-0154","orcid":"https://orcid.org/0000-0003-3129-0154","contributorId":365280,"corporation":false,"usgs":false,"family":"Liu","given":"Tianjia","affiliations":[{"id":52230,"text":"University of British Columbia, Vancouver, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":954039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shiklomanov, Alexey N. 0000-0003-4022-5979","orcid":"https://orcid.org/0000-0003-4022-5979","contributorId":245541,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexey","email":"","middleInitial":"N.","affiliations":[{"id":49218,"text":"Boston University Department of Earth and Environment","active":true,"usgs":false}],"preferred":false,"id":954040,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":954041,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":954042,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Follette-Cook, Melanie B. 0000-0002-5648-584X","orcid":"https://orcid.org/0000-0002-5648-584X","contributorId":365282,"corporation":false,"usgs":false,"family":"Follette-Cook","given":"Melanie","middleInitial":"B.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954043,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morton, Douglas C.","contributorId":225139,"corporation":false,"usgs":false,"family":"Morton","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954044,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272665,"text":"70272665 - 2025 - Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","interactions":[],"lastModifiedDate":"2025-12-03T16:42:49.612362","indexId":"70272665","displayToPublicDate":"2025-10-06T10:36:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22986,"text":"PLOS Computational Biology.","active":true,"publicationSubtype":{"id":10}},"title":"Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","docAbstract":"<p><span>Emerging infectious diseases pose threats to wildlife populations, as exemplified by recent outbreaks of avian influenza viruses in wild birds. Climate change can affect infection dynamics in wildlife through direct effects on pathogens (e.g., environmental decay rates) and changes to host ecology, including shifting migration patterns. Here, we adapt an existing mechanistic model that couples migration and infection to study how traits of highly pathogenic avian influenza (HPAI) viruses contribute to HPAI outcomes in migratory waterfowl, then apply this model to explore potential impacts of climate change on HPAI dynamics. We find that the simulated impacts of HPAI on the host population under baseline climate conditions varied from no impact to 100% mortality, depending on viral traits. In most cases, traits related to transmission (i.e., contact rates, shedding rates) were more important for HPAI establishment probability, infection prevalence, and mortality than were other viral traits (e.g., environmental temperature sensitivity, cross-protective immunity). We then simulated the effects of climate change (i.e., altered temperature regimes) on HPAI dynamics both via viral environmental decay and via changes in bird migration phenology. In these simulations, we found that a 9-day advancement in spring migration timing increased the duration of HPAI outbreaks by increasing time birds spent at their breeding grounds, leading to higher mortality and fewer infections. In contrast, increased viral decay in warmer years had a smaller, but opposite impact. These patterns depended on the primary transmission mode of HPAI (i.e., direct vs. environmental) and its sensitivity to environmental temperatures. Together, these results suggest that climate change is likely to increase the impacts of HPAI on waterfowl populations if HPAI relies strongly on direct transmission and birds advance their spring migration. Further integrating host-viral co-evolution and other climatic changes (e.g., salinity, humidity) could provide more precise predictions of how HPAI dynamics could change in the future.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pcbi.1013451","usgsCitation":"Teitelbaum, C.S., Casazza, M.L., Overton, C.T., Matchett, E., and Prosser, D.J., 2025, Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl: PLOS Computational Biology., v. 21, no. 10, e1013451, 22 p., https://doi.org/10.1371/journal.pcbi.1013451.","productDescription":"e1013451, 22 p.","ipdsId":"IP-157531","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1013451","text":"Publisher Index Page"},{"id":497015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.20078647084972,\n              61.26021297898512\n            ],\n            [\n              -149.09364902779188,\n              62.66876277882301\n            ],\n            [\n              -162.90133171617495,\n              63.7331238783043\n            ],\n            [\n              -166.54926553897377,\n              61.85068028365225\n            ],\n            [\n              -164.23587380154524,\n              59.41592981040935\n            ],\n            [\n              -158.791073273557,\n              57.922862761320914\n            ],\n            [\n 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0000-0001-5646-3184","orcid":"https://orcid.org/0000-0001-5646-3184","contributorId":295336,"corporation":false,"usgs":true,"family":"Teitelbaum","given":"Claire","email":"","middleInitial":"Stewart","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":951267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":951271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274600,"text":"70274600 - 2025 - Ambient field seismology in critical zone hydrological sciences","interactions":[],"lastModifiedDate":"2026-04-01T15:12:52.682494","indexId":"70274600","displayToPublicDate":"2025-10-06T10:07:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23777,"text":"Comptes Rendus. Géoscience","active":true,"publicationSubtype":{"id":10}},"title":"Ambient field seismology in critical zone hydrological sciences","docAbstract":"<p><span>Passive ambient noise monitoring is an emerging tool in environmental seismology, leveraging the ambient seismic field to assess temporal variations in shallow subsurface properties. This review focuses on the potential and challenges of using scattered coda waves from noise correlation functions to monitor critical zone dynamics. The sensitivity of seismic velocities to various environmental factors, including precipitation, snowmelt, atmospheric pressure, and groundwater fluctuations, underscores the method’s versatility. While coda waves excel in detecting subtle changes due to their scattered nature, ballistic waves provide higher spatial resolution, albeit with challenges in source stability. Advances in seismic sensing, including distributed acoustic sensing and low-cost geophone networks, have enabled high-resolution monitoring of hydrological processes, subsurface deformation, and seismic hazards. Integrating seismic data with hydrological models provides insights into water storage, pore pressure changes, and soil moisture dynamics. However, limitations in spatial resolution, calibration with ground truth data, and coupled effects between environmental factors remain key challenges. This review emphasizes the importance of interdisciplinary approaches in refining methodologies, enhancing sensor deployments, and addressing data gaps. Passive seismic monitoring offers opportunities to understand critical zone processes and their broader impacts on seismic hazards and environmental sustainability.</span></p>","language":"English","publisher":"Academie des Sciences, Institut de France","doi":"10.5802/crgeos.310","usgsCitation":"Denolle, M.A., Shi, Q., Clements, T., Viens, L., Rodriguez-Tribaldos, V., and Cotton, F., 2025, Ambient field seismology in critical zone hydrological sciences: Comptes Rendus. Géoscience, v. 357, p. 425-451, https://doi.org/10.5802/crgeos.310.","productDescription":"27 p.","startPage":"425","endPage":"451","ipdsId":"IP-181097","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":502104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5802/crgeos.310","text":"Publisher Index Page"},{"id":501930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"357","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Denolle, Marine A.","contributorId":345689,"corporation":false,"usgs":false,"family":"Denolle","given":"Marine","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":958469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qibin","contributorId":369115,"corporation":false,"usgs":false,"family":"Shi","given":"Qibin","affiliations":[{"id":49969,"text":"Department of Earth and Space Sciences, University of Washington, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":958470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viens, Loic","contributorId":362345,"corporation":false,"usgs":false,"family":"Viens","given":"Loic","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":958472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Tribaldos, Veronica","contributorId":369117,"corporation":false,"usgs":false,"family":"Rodriguez-Tribaldos","given":"Veronica","affiliations":[{"id":87725,"text":"GFZ Helmholtz Centre for Geosciences, Telegrafenberg 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":958473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cotton, Fabrice","contributorId":264167,"corporation":false,"usgs":false,"family":"Cotton","given":"Fabrice","email":"","affiliations":[],"preferred":false,"id":958474,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272060,"text":"70272060 - 2025 - Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study","interactions":[],"lastModifiedDate":"2025-11-14T16:31:39.166686","indexId":"70272060","displayToPublicDate":"2025-10-06T09:26:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study","docAbstract":"<p><span>We designed a pilot field study to assess relations between sunlight, cyanobacteria, and cyanotoxins. In 2021, we collected day (07:00&nbsp;h, 10:00&nbsp;h, 13:00&nbsp;h, 16:00&nbsp;h) and night samples (19:00&nbsp;h, 22:00&nbsp;h, 01:00&nbsp;h, 04:00&nbsp;h) at two locations in Kabetogama Lake, MN, USA. One sample set was collected from the lakeward end of a boat dock and the other on the nearby shoreline. Cyanobacterial phylogenetic eDNA differences over 24&nbsp;h (pseudo F = 2.0938,&nbsp;</span><i>p</i><span> = 0.127) were not significant. Copies of anatoxin (</span><i>anaC</i><span>) and microcystin (</span><i>mcyE</i><span>) synthetase genes varied significantly over the sampling times at the dock (Friedman Χ</span><sup>2</sup><span> = 15.01,&nbsp;</span><i>df</i><span> = 7,&nbsp;</span><i>p</i><span> = 0.036; Friedman Χ</span><sup>2</sup><span> = 19.22,&nbsp;</span><i>df</i><span> = 7,&nbsp;</span><i>p</i><span> = 0.008) and the shoreline (Friedman Χ</span><sup>2</sup><span> = 19.33,&nbsp;</span><i>df</i><span> = 7,&nbsp;</span><i>p</i><span> = 0.007; Friedman Χ</span><sup>2</sup><span> = 20.56,&nbsp;</span><i>df</i><span> = 7,&nbsp;</span><i>p</i><span> = 0.005), with the highest&nbsp;</span><i>anaC</i><span>&nbsp;counts occurring during the night for both sites. Additionally, the highest total and dissolved microcystin concentrations occurred at night. Despite the proximity of the sampling locations, cyanobacterial phylogenetic eDNA results indicate that the variability between sites (pseudo-F = 27.547,&nbsp;</span><i>p</i><span> = 0.001) were greater than temporal differences over 24&nbsp;h (pseudo F = 2.0938,&nbsp;</span><i>p</i><span> = 0.127). Understanding the effect of diel and spatial variability may help researchers and resource managers make informed decisions about sampling and potential exposure.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-18453-5","usgsCitation":"Christensen, V., Katona, L.R., LeDuc, J.F., Maki, R.P., Olds, H., Smith, J.C., and Trompeter, H., 2025, Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study: Scientific Reports, v. 15, 34734, 15 p., https://doi.org/10.1038/s41598-025-18453-5.","productDescription":"34734, 15 p.","ipdsId":"IP-159489","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-18453-5","text":"Publisher Index Page"},{"id":496495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Kabetogama Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.88007417752388,\n              48.44937256738547\n            ],\n            [\n              -92.88007417752388,\n              48.422380750562496\n            ],\n            [\n              -92.82383108449349,\n              48.422380750562496\n            ],\n            [\n              -92.82383108449349,\n              48.44937256738547\n            ],\n            [\n              -92.88007417752388,\n              48.44937256738547\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeDuc, Jaime F.","contributorId":362078,"corporation":false,"usgs":false,"family":"LeDuc","given":"Jaime","middleInitial":"F.","affiliations":[{"id":86459,"text":"Surfrider Foundation","active":true,"usgs":false}],"preferred":false,"id":949947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maki, Ryan P.","contributorId":362079,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan","middleInitial":"P.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":949948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olds, Hayley T. 0000-0002-6701-6459 htolds@usgs.gov","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":215837,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley","email":"htolds@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, James C.","contributorId":362080,"corporation":false,"usgs":false,"family":"Smith","given":"James","middleInitial":"C.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":949950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trompeter, Hailey Elizabeth 0009-0007-6855-5642","orcid":"https://orcid.org/0009-0007-6855-5642","contributorId":358493,"corporation":false,"usgs":true,"family":"Trompeter","given":"Hailey Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272115,"text":"70272115 - 2025 - Modeling diverse environmental responses of reservoirs to floating photovoltaic systems","interactions":[],"lastModifiedDate":"2025-11-17T16:13:07.875496","indexId":"70272115","displayToPublicDate":"2025-10-06T09:06:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5362,"text":"Limnologica - Ecology and Management of Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Modeling diverse environmental responses of reservoirs to floating photovoltaic systems","docAbstract":"<p><span>Floating photovoltaic (FPV) systems are emerging as a promising strategy for large-scale clean energy production worldwide. However, by altering key physical drivers such as solar radiation and wind mixing, FPV installations may have also unintended consequences for lakes and reservoirs. Given the wide diversity of freshwater systems globally, understanding the consistency in direction and magnitude of environmental responses to FPV deployment is critical for informed regulatory oversight and sustainable energy development. Here, we used process-based models to simulate the effects of FPV coverage on 11 reservoirs across the United States. This is the first multi-reservoir analysis using a laterally averaged 2D process-based modeling framework to systematically evaluate FPV impacts across diverse climatic and morphometric contexts, enabling direct comparison of magnitude and direction of responses among systems. Specifically, we evaluated changes in (1) surface and outflow temperature, (2) thermocline depth, (3) water column stability, (4) dissolved oxygen concentrations, and (5) potential suitable habitat availability for warm- and cold-water fishes. We quantified changes in these response variables by an iterative approach that simulates increases in FPV coverage and compares them with reference conditions. We summarized responses for winter (January–February) and summer (July–August). As expected, our simulations show that increasing FPV coverage consistently cooled surface waters and altered thermal stratification patterns, but the magnitude and environmental implications of these changes varied among reservoirs. Notably, greater FPV coverage led to increased variability in habitat suitability for aquatic species, with some reservoirs exhibiting distinct and sometimes divergent responses. These findings underscore the importance of considering local environmental contexts when assessing FPV impacts. While large-scale FPV systems offer potential benefits for climate mitigation, their ecological effects, particularly on thermally sensitive biota, require careful site-specific evaluation to avoid unintended consequences to local freshwater biodiversity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.limno.2025.126293","usgsCitation":"Bredeweg, E.M., Arismendi, I., Murphy, C.A., and Henkel, S.K., 2025, Modeling diverse environmental responses of reservoirs to floating photovoltaic systems: Limnologica - Ecology and Management of Inland Waters, v. 115, 126293, 11 p., https://doi.org/10.1016/j.limno.2025.126293.","productDescription":"126293, 11 p.","ipdsId":"IP-171829","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Idaho, Ohio, Oregon, Tennessee, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              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 33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n         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,{"id":70272206,"text":"70272206 - 2025 - Submarine groundwater discharge creates cold‐water refugia that can mitigate exposure of heat stress in nearshore corals","interactions":[],"lastModifiedDate":"2025-11-19T15:22:46.012205","indexId":"70272206","displayToPublicDate":"2025-10-06T08:18:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Submarine groundwater discharge creates cold‐water refugia that can mitigate exposure of heat stress in nearshore corals","docAbstract":"<p><span>Coral reef mortality around the world is accelerating due to human activities and rising sea temperatures that cause bleaching, which is expected to become more frequent. Our ability to predict which corals will be most resilient, however, remains limited due to insufficient information characterizing nearshore temperature and habitat conditions. In this study, we examine how submarine groundwater discharge (SGD) reduces nearshore water temperatures and exposure of corals to heat stress, complementing the understanding that SGD can adversely affect coral when it contains elevated nutrient concentrations. Data from fixed nearshore sensors and vertical depth profiles along ~100 km of the western shoreline of the Island of Hawai’i from 2003 to 2014 demonstrate that submarine groundwater discharge (SGD) can reduce nearshore water temperatures by 1&nbsp;°C–5°C and create estuarine-like conditions with salinities as low as 20 PSU, where the prevalent coral species,&nbsp;</span><i>Pocillopora meandrina, Porites lobata</i><span>, and&nbsp;</span><i>Montipora capitata</i><span>, thrive. Time-series temperature records reveal that exposure to high ambient ocean temperatures, which are known to initiate bleaching events, are reduced up to 5%–46% of the time. Coral health surveys indicated coral bleaching in response to moderately high annual temperatures in 2010 and 2011, with more colonies affected farther from cold, SGD-fed waters. Synthesis of these results, along with coral response data following the more extreme marine heat wave of 2014–2015, demonstrates lower coral loss and greater coral recovery near groundwater seeps, particularly those with higher flux and influence on reducing nearshore water temperatures. Our results demonstrate that SGD may therefore provide a beneficial ecosystem service and enhance coral reef resilience, particularly where human-related nutrient additions to groundwater can be mitigated. The implications of our findings are relevant across tropical coasts where groundwater inputs can be substantial, such as the Caribbean and Indo-Pacific, and contribute to improving our understanding of coral sensitivity to gradients in temperature and nutrient stress. Improved management of groundwater resources could thus be vital to local–regional strategies for mitigating future heat stress.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2025.1621298","usgsCitation":"Grossman, E.E., Oberle, F.K., and Storlazzi, C.D., 2025, Submarine groundwater discharge creates cold‐water refugia that can mitigate exposure of heat stress in nearshore corals: Frontiers in Marine Science, v. 12, 1621298, 18 p., https://doi.org/10.3389/fmars.2025.1621298.","productDescription":"1621298, 18 p.","ipdsId":"IP-171287","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1621298","text":"Publisher Index Page"},{"id":496634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.2635053313267,\n              20.047841438604692\n            ],\n            [\n              -156.2635053313267,\n              19.356827231562278\n            ],\n            [\n              -155.7474414544975,\n              19.356827231562278\n            ],\n            [\n              -155.7474414544975,\n              20.047841438604692\n            ],\n            [\n              -156.2635053313267,\n              20.047841438604692\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275557,"text":"70275557 - 2025 - Sample Science Traceability Matrix (SSTM) for Perseverance’s Mars sample return collection","interactions":[],"lastModifiedDate":"2026-05-06T16:30:22.672975","indexId":"70275557","displayToPublicDate":"2025-10-06T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Sample Science Traceability Matrix (SSTM) for Perseverance’s Mars sample return collection","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Mars Sample Return (MSR) Campaign aims to retrieve a set of carefully selected and documented samples collected by NASA’s&nbsp;</span><i>Perseverance</i><span>&nbsp;rover in and around Jezero Crater on Mars and deliver this set to Earth for comprehensive laboratory analyses. To emphasize the immense scientific return of this unique collection, this work presents a Sample Science Traceability Matrix (SSTM), a systematic framework that aligns each sample with the MSR campaign’s defined science objectives, subobjectives, and critical research questions. The SSTM explicitly connects prioritized goals—including geologic history, astrobiology, planetary evolution, and human exploration science—to each of the individual samples gathered in and around Jezero Crater on Mars. This matrix offers a structured, quantitative method to assess each sample’s capacity to address key scientific questions, while highlighting synergies across the sample suite and showcasing the overall value of the collection. The SSTM provides a valuable tool for guiding future sample analyses and identifying the most impactful samples that could be collected in the future to complete the set collected by the Mars 2020 mission. It also supports the next phase of Mars sample science and informs strategies for future Mars exploration missions.</span></span></p>","language":"English","publisher":"SAGE Publications","doi":"10.1177/15311074251382585","usgsCitation":"Zorzano, M., Czaja, A.D., Bosak, T., Bouvier, A., Carrier, B.L., French, K.L., Glavin, D.P., Harrington, A.D., Hausrath, E.M., Herd, C.D., Hickman-Lewis, K., Mayhew, L.E., McCubbin, F.M., Schwenzer, S.P., Sefton-Nash, E., Siljeström, S.M., Simon, J.L., Teece, B.L., Thiessen, F., Weiss, B.P., Science Group, T., Kminek, G., Hays, L.E., Dauphas, N., Hallis, L., Harris, R., Hauber, E., Rodriguez, L., Steele, A., Tait, K., Thorpe, M.T., Usui, T., Velbel, M., and Vanhomwegen, J., 2025, Sample Science Traceability Matrix (SSTM) for Perseverance’s Mars sample return collection: Astrobiology, v. 25, no. 10, p. 725-741, https://doi.org/10.1177/15311074251382585.","productDescription":"17 p.","startPage":"725","endPage":"741","ipdsId":"IP-182982","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504209,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/15311074251382585","text":"Publisher Index Page"},{"id":504025,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"25","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Zorzano, Maria-Paz","contributorId":302696,"corporation":false,"usgs":false,"family":"Zorzano","given":"Maria-Paz","affiliations":[{"id":47594,"text":"Centro de Astrobiologia","active":true,"usgs":false}],"preferred":false,"id":961196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czaja, Andrew D.","contributorId":289944,"corporation":false,"usgs":false,"family":"Czaja","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":62295,"text":"Univ. 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,{"id":70273139,"text":"70273139 - 2025 - Assessing flood water infiltration and storage in a restored floodplain","interactions":[],"lastModifiedDate":"2025-12-16T15:30:48.761523","indexId":"70273139","displayToPublicDate":"2025-10-05T09:20:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23098,"text":"Hydological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Assessing flood water infiltration and storage in a restored floodplain","docAbstract":"<p><span>In urban areas, floodplain restoration is gaining prominence as a strategy for restoring the natural functions of floodplain ecosystems and reducing flood risk. This has spurred research into potential interactions between floodwaters, the hyporheic zone, and the floodplain aquifer. An urban restored stream in Wisconsin, USA, was used as a case study to examine four methods to estimate floodplain infiltration and storage during overbank floods. We characterised flood-related infiltration over a 4-year period from 2018 through 2021 by simultaneously and continuously measuring groundwater levels and vertical temperature profiles with stream water levels linked to high-resolution flood inundation maps. High-resolution topographic data helped to quantify surface floodplain storage and the unsaturated soil volume relative to flood stage. Infiltration estimates from the simple methods align well with those from the more complex methods; however, the complex methods provide additional insights about the factors influencing infiltration. Results from all methods indicate that the volume of water that vertically infiltrates during floods is likely small relative to the total volume of the flood, with 0.08%–0.52% of flood water infiltrating into the floodplain, on average. Spatially variable vertical hydraulic gradients, driven by flood depth, groundwater level, and permeability, imply heterogeneous patterns of infiltration across the floodplain. Gradients favourable for infiltration typically occurred during the onset of flooding but, over the study period, were mostly (98% of the time) favourable for groundwater discharge to the channel (non-flood periods). These findings highlight the importance of considering surface-groundwater dynamics, floodplain soils, and unsaturated floodplain volume in defining the benefits of floodplain infiltration for flood attenuation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70281","usgsCitation":"Corson-Dosch, N., Fitzpatrick, F., Juckem, P., Blount, J.D., and Ha, W.S., 2025, Assessing flood water infiltration and storage in a restored floodplain: Hydological Processes, v. 39, no. 10, e70281, 18 p., https://doi.org/10.1002/hyp.70281.","productDescription":"e70281, 18 p.","ipdsId":"IP-141807","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70281","text":"Publisher Index Page"},{"id":497570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Underwood Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.047778,\n              43.047222\n            ],\n            [\n              -88.047778,\n              43.0375\n            ],\n            [\n              -88.043333,\n              43.0375\n            ],\n            [\n              -88.043333,\n              43.047222\n            ],\n            [\n              -88.047778,\n              43.047222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209588,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juckem, Paul 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":214445,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ha, Wonsook S. 0000-0002-7252-698X","orcid":"https://orcid.org/0000-0002-7252-698X","contributorId":266139,"corporation":false,"usgs":true,"family":"Ha","given":"Wonsook","email":"","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952432,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273513,"text":"70273513 - 2025 - Case study of deep learning image segmentation for the purposes of rapid 2D petrographic analysis in volcanic rocks","interactions":[],"lastModifiedDate":"2026-01-22T14:31:14.015253","indexId":"70273513","displayToPublicDate":"2025-10-05T07:43:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Case study of deep learning image segmentation for the purposes of rapid 2D petrographic analysis in volcanic rocks","docAbstract":"<p>Automation using deep learning methods is a useful alternative to manual methods of petrographic segmentation, but often requires user familiarity with coding and/or algorithms. We examine the Dragonfly<sup>TM</sup> program's deep learning tools for application by users with a variety of skill levels as a method for petrographic image segmentation. An image processing methodology, bimodal image stacking, was created for low-input-data, high-efficacy training of models which can then be applied to varied samples. Using backscatter electron images we show that the resulting model segmentations agree with manual segmentation total and modal crystallinity values within 5%, and calculated plagioclase crystal size distribution (CSD) values within 2σ, despite limitations in discriminating mafic phases. Model creation and training takes &lt;24 hours, 1–3 hours of which are supervised, and the resultant model can then be applied to new uncharacterized samples in &lt;15 minutes per image. This allows for non-experts to create and utilize deep learning models to segment images of variable brightness and texture, at low user-time cost and resulting in size and shape data which are within uncertainty of manual segmentation. While some limitations are noted (for example, sieve-textured phases may need manual correction, and different minerals with similar BSE intensity may not be resolved as separate phases), this methodology can be utilized for general application of models to wide ranges of volcanic crystalline and bubble textures, and to create a library of models for rapid petrological analysis during volcanic eruptions.</p>","language":"English","publisher":"OJS/PKP","doi":"10.30909/vol/gsfc1696","usgsCitation":"Halverson, B.A., Loewen, M.W., Dietterich, H., and Whittington, A., 2025, Case study of deep learning image segmentation for the purposes of rapid 2D petrographic analysis in volcanic rocks: Volcanica, v. 8, no. 2, p. 427-443, https://doi.org/10.30909/vol/gsfc1696.","productDescription":"17 p.","startPage":"427","endPage":"443","ipdsId":"IP-168707","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498931,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol/gsfc1696","text":"Publisher Index Page"},{"id":498793,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.2081935551017,\n              55.01025512098417\n            ],\n            [\n              -169.2081935551017,\n              53.07434331835552\n            ],\n            [\n              -165.56066240589334,\n              53.07434331835552\n            ],\n            [\n              -165.56066240589334,\n              55.01025512098417\n            ],\n            [\n              -169.2081935551017,\n              55.01025512098417\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Halverson, Brenna A. 0009-0009-7766-7384","orcid":"https://orcid.org/0009-0009-7766-7384","contributorId":365304,"corporation":false,"usgs":false,"family":"Halverson","given":"Brenna","middleInitial":"A.","affiliations":[{"id":87127,"text":"University of Texas San Antonio","active":true,"usgs":false}],"preferred":false,"id":954099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":954100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":954101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whittington, Alan 0000-0003-2477-3043","orcid":"https://orcid.org/0000-0003-2477-3043","contributorId":365305,"corporation":false,"usgs":false,"family":"Whittington","given":"Alan","affiliations":[{"id":87127,"text":"University of Texas San Antonio","active":true,"usgs":false}],"preferred":false,"id":954102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275556,"text":"70275556 - 2025 - Modeling climate and hydropower influences on the movement decisions of an anadromous species","interactions":[],"lastModifiedDate":"2026-05-04T16:16:29.893381","indexId":"70275556","displayToPublicDate":"2025-10-04T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling climate and hydropower influences on the movement decisions of an anadromous species","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>In large river basins, migratory fish populations are threatened by the combination of hydropower and climate change. With river temperatures rising and hydropower development increasing globally, the longstanding monitoring programs for threatened Pacific salmon populations in the Columbia River Basin present an opportunity to study these impacts over extended time scales. We fit a statistical model to 20 years of PIT-tagging data to jointly model the effects of temperature and dam operations (spill management) on the movement of Steelhead (anadromous&nbsp;</span><i>Oncorhynchus mykiss</i><span>) during their adult pre-spawn migration. We modeled the relationship between these factors and behaviors that pose mortality risks, including natal tributary overshoot (ascending a dam upstream of a natal tributary) and non-natal tributary use. We then used the posterior distributions of model-estimated parameters to predict the homing success of fish to natal tributaries under different climate and hydropower scenarios. Across the populations in our study, movement decisions were consistently thermally influenced, with temperature having a negative relationship with natal homing and a positive relationship with both natal tributary overshoot and non-natal tributary use. Another consistent finding across the populations in our study was that higher overshoot rates were associated with lower homing rates. Despite data limitations associated with the PIT-tag array network, we found evidence for population-specific benefits of winter spill on natal homing success, which is currently being implemented to assist the downstream migration of overshooting Steelhead. We demonstrate how integrating the effects of climate and hydropower management actions with movement ecology provides powerful insights into how species may respond to future scenarios. In our case study, we found that pre-spawn mortality of Steelhead is likely to increase with future climate change due to temperature-driven interactions with the hydrosystem, but there is potential for hydropower managers to partially offset these impacts.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70533","usgsCitation":"Min, M.A., Buchanan, R.A., and Scheuerell, M.D., 2025, Modeling climate and hydropower influences on the movement decisions of an anadromous species: Global Change Biology, v. 31, no. 10, e70533, 16 p., https://doi.org/10.1111/gcb.70533.","productDescription":"e70533, 16 p.","ipdsId":"IP-181064","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70533","text":"Publisher Index Page"},{"id":503948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Washington","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.03878861911872,\n              49.244059631332476\n            ],\n            [\n              -126.03878861911872,\n              44.71754309998437\n            ],\n            [\n              -113.4371886030078,\n              44.71754309998437\n            ],\n            [\n              -113.4371886030078,\n              49.244059631332476\n            ],\n            [\n              -126.03878861911872,\n              49.244059631332476\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Min, Markus A.","contributorId":371013,"corporation":false,"usgs":false,"family":"Min","given":"Markus","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":960873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchanan, Rebecca A.","contributorId":371014,"corporation":false,"usgs":false,"family":"Buchanan","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":960874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960875,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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