{"pageNumber":"52","pageRowStart":"1275","pageSize":"25","recordCount":185258,"records":[{"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     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             -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bredeweg, Evan M.","contributorId":362164,"corporation":false,"usgs":false,"family":"Bredeweg","given":"Evan","middleInitial":"M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arismendi, Ivan","contributorId":341108,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henkel, Sarah K.","contributorId":362167,"corporation":false,"usgs":false,"family":"Henkel","given":"Sarah","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":950133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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. Cincinnati,","active":true,"usgs":false}],"preferred":false,"id":961197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosak, Tanja","contributorId":290063,"corporation":false,"usgs":false,"family":"Bosak","given":"Tanja","affiliations":[{"id":62325,"text":"MIT, Department of Earth, Atmospheric, and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":961198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouvier, Audrey","contributorId":329938,"corporation":false,"usgs":false,"family":"Bouvier","given":"Audrey","email":"","affiliations":[{"id":78742,"text":"Universitat Bayreuth","active":true,"usgs":false}],"preferred":false,"id":961199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carrier, Brandi L.","contributorId":329935,"corporation":false,"usgs":false,"family":"Carrier","given":"Brandi","middleInitial":"L.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":960876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glavin, Daniel P.","contributorId":210871,"corporation":false,"usgs":false,"family":"Glavin","given":"Daniel","middleInitial":"P.","affiliations":[],"preferred":false,"id":961201,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harrington, Andrea D.","contributorId":329949,"corporation":false,"usgs":false,"family":"Harrington","given":"Andrea","middleInitial":"D.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":961202,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hausrath, Elisabeth M.","contributorId":300190,"corporation":false,"usgs":false,"family":"Hausrath","given":"Elisabeth","middleInitial":"M.","affiliations":[{"id":65040,"text":"U. Nevada","active":true,"usgs":false}],"preferred":false,"id":961203,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herd, Christopher D.K.","contributorId":371175,"corporation":false,"usgs":false,"family":"Herd","given":"Christopher","middleInitial":"D.K.","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":961204,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hickman-Lewis, Keyron","contributorId":296825,"corporation":false,"usgs":false,"family":"Hickman-Lewis","given":"Keyron","affiliations":[{"id":64200,"text":"Department of Earth Sciences, The Natural History Museum,  Dipartimento di Scienze Biologichee, Universita di Bologna","active":true,"usgs":false}],"preferred":false,"id":961205,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":961214,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McCubbin, Francis M.","contributorId":176880,"corporation":false,"usgs":false,"family":"McCubbin","given":"Francis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":961215,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schwenzer, Susanne P.","contributorId":196316,"corporation":false,"usgs":false,"family":"Schwenzer","given":"Susanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":961216,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sefton-Nash, Elliot","contributorId":329934,"corporation":false,"usgs":false,"family":"Sefton-Nash","given":"Elliot","email":"","affiliations":[{"id":78738,"text":"European Space Research and Technology Centre","active":true,"usgs":false}],"preferred":false,"id":961217,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":961218,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Simon, Justin L.","contributorId":300200,"corporation":false,"usgs":false,"family":"Simon","given":"Justin","middleInitial":"L.","affiliations":[{"id":27073,"text":"NASA JSC","active":true,"usgs":false}],"preferred":false,"id":961219,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Teece, Bronwyn L.","contributorId":371171,"corporation":false,"usgs":false,"family":"Teece","given":"Bronwyn","middleInitial":"L.","affiliations":[],"preferred":false,"id":961220,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thiessen, Fiona","contributorId":329936,"corporation":false,"usgs":false,"family":"Thiessen","given":"Fiona","email":"","affiliations":[{"id":78738,"text":"European Space Research and Technology Centre","active":true,"usgs":false}],"preferred":false,"id":961221,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Weiss, Ben P.","contributorId":267358,"corporation":false,"usgs":false,"family":"Weiss","given":"Ben","middleInitial":"P.","affiliations":[],"preferred":false,"id":961222,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Science Group, the MSR Campaign","contributorId":371193,"corporation":false,"usgs":false,"family":"Science Group","given":"the MSR Campaign","affiliations":[],"preferred":false,"id":961223,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kminek, Gerhard","contributorId":329933,"corporation":false,"usgs":false,"family":"Kminek","given":"Gerhard","email":"","affiliations":[{"id":78738,"text":"European Space Research and Technology Centre","active":true,"usgs":false}],"preferred":false,"id":961224,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Hays, Lindsay E.","contributorId":329950,"corporation":false,"usgs":false,"family":"Hays","given":"Lindsay","middleInitial":"E.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":961225,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Dauphas, Nicolas","contributorId":67430,"corporation":false,"usgs":true,"family":"Dauphas","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":961282,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Hallis, Lydia","contributorId":329940,"corporation":false,"usgs":false,"family":"Hallis","given":"Lydia","email":"","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":961283,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Harris, Rachel","contributorId":329941,"corporation":false,"usgs":false,"family":"Harris","given":"Rachel","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":961284,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Hauber, Ernst","contributorId":212713,"corporation":false,"usgs":false,"family":"Hauber","given":"Ernst","email":"","affiliations":[],"preferred":false,"id":961285,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Rodriguez, Laura","contributorId":329942,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Laura","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":961286,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"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":961287,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Tait, Kimberly","contributorId":329944,"corporation":false,"usgs":false,"family":"Tait","given":"Kimberly","email":"","affiliations":[{"id":39259,"text":"Royal Ontario Museum","active":true,"usgs":false}],"preferred":false,"id":961288,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Thorpe, Michael T.","contributorId":261804,"corporation":false,"usgs":false,"family":"Thorpe","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":53022,"text":"Jacobs Technology","active":true,"usgs":false}],"preferred":false,"id":961289,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Usui, Tomo","contributorId":371217,"corporation":false,"usgs":false,"family":"Usui","given":"Tomo","affiliations":[],"preferred":false,"id":961290,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Velbel, Michael","contributorId":329947,"corporation":false,"usgs":false,"family":"Velbel","given":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961291,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"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":961292,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"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}]}}
,{"id":70275541,"text":"70275541 - 2025 - Planning considerations related to contamination control for the return and analysis of Martian samples","interactions":[],"lastModifiedDate":"2026-05-05T22:31:53.5094","indexId":"70275541","displayToPublicDate":"2025-10-03T09:20:53","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":"Planning considerations related to contamination control for the return and analysis of Martian samples","docAbstract":"<p><span>The joint National Aeronautics and Space Administration and European Space Agency Mars Sample Return (MSR) Campaign is a proposed multi-mission effort to bring selected geological samples from Mars to Earth for the purpose of scientific investigation. Significant parts of these investigations could be affected by Earth-sourced contamination that is either misinterpreted as having a martian origin or that masks a martian signal. The Mars 2020 Perseverance rover implemented strict contamination control requirements to limit contamination of the samples during sample collection. Contamination control and contamination knowledge requirements have not yet been established for the samples after they arrive on Earth. The MSR Sample Receiving Facility (SRF) Contamination Panel (SCP) was tasked with defining the terrestrial biological, organic, and inorganic contamination limits for martian samples during their residence inside the SRF. To reach our recommendations, the SCP studied (i) the previously proposed limits and rationale of the Organic Contamination Panel, (ii) cleanliness levels achieved for sampling hardware by the M2020 mission, (iii) recent improvements in analytical technology and detection limits, (iv) updated information regarding the organic content of martian samples (</span><i>e.g.</i><span>, from the Sample Analysis at Mars instrument on the Curiosity rover and laboratory analyses of martian meteorites), and (v) information about the composition and geologic context of samples being collected by the Perseverance rover for return to Earth.</span></p>","language":"English","publisher":"SAGE publications","doi":"10.1177/15311074251382157","usgsCitation":"Sessions, A.L., Magnabosco, C., Barton, H.A., Burkhardt, C., Freissinet, C., Dworkin, J.P., French, K.L., Glavin, D.P., Leys, N., Maixner, F., Olsson-Francis, K., Probst, A.J., Quitté, G., Rampe, E.B., Steele, A., Carrier, B.L., Hays, L.E., Thiessen, F., Paardekooper, D., Hutzler, A., Harrington, A.D., and Teece, B.L., 2025, Planning considerations related to contamination control for the return and analysis of Martian samples: Astrobiology, v. 25, no. 10, p. 694-724, https://doi.org/10.1177/15311074251382157.","productDescription":"31 p.","startPage":"694","endPage":"724","ipdsId":"IP-181964","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504206,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://bia.unibz.it/esploro/outputs/journalArticle/Planning-Considerations-Related-to-Contamination-Control/991007179007801241","text":"External Repository"},{"id":504026,"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":"Sessions, Alex L.","contributorId":172980,"corporation":false,"usgs":false,"family":"Sessions","given":"Alex","email":"","middleInitial":"L.","affiliations":[{"id":27133,"text":"Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena CA","active":true,"usgs":false}],"preferred":false,"id":961226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnabosco, Cara","contributorId":371183,"corporation":false,"usgs":false,"family":"Magnabosco","given":"Cara","affiliations":[],"preferred":false,"id":961227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Hazel A.","contributorId":105230,"corporation":false,"usgs":true,"family":"Barton","given":"Hazel","middleInitial":"A.","affiliations":[],"preferred":false,"id":961228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burkhardt, Christoph","contributorId":371194,"corporation":false,"usgs":false,"family":"Burkhardt","given":"Christoph","affiliations":[{"id":34668,"text":"Max Planck Institute for Solar System Research, Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":961229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freissinet, Caroline","contributorId":330501,"corporation":false,"usgs":false,"family":"Freissinet","given":"Caroline","affiliations":[{"id":78911,"text":"LATMOS/IPSL","active":true,"usgs":false}],"preferred":false,"id":961231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":960840,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dworkin, Jason P.","contributorId":61230,"corporation":false,"usgs":true,"family":"Dworkin","given":"Jason","middleInitial":"P.","affiliations":[],"preferred":false,"id":961230,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glavin, Daniel P.","contributorId":210871,"corporation":false,"usgs":false,"family":"Glavin","given":"Daniel","middleInitial":"P.","affiliations":[],"preferred":false,"id":961232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leys, Natalie","contributorId":371195,"corporation":false,"usgs":false,"family":"Leys","given":"Natalie","affiliations":[{"id":65292,"text":"Institute for Environment, Health and Safety (EHS), Belgian Nuclear Research Centre SCK•CEN, Mol, Belgium","active":true,"usgs":false}],"preferred":false,"id":961233,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maixner, Frank","contributorId":84281,"corporation":false,"usgs":true,"family":"Maixner","given":"Frank","affiliations":[],"preferred":false,"id":961234,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Olsson-Francis, Karen","contributorId":371196,"corporation":false,"usgs":false,"family":"Olsson-Francis","given":"Karen","affiliations":[],"preferred":false,"id":961235,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Probst, Alexander J.","contributorId":371198,"corporation":false,"usgs":false,"family":"Probst","given":"Alexander","middleInitial":"J.","affiliations":[],"preferred":false,"id":961236,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Quitté, Ghylaine","contributorId":371202,"corporation":false,"usgs":false,"family":"Quitté","given":"Ghylaine","affiliations":[{"id":84221,"text":"IRAP, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":961237,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rampe, Elizabeth B.","contributorId":229501,"corporation":false,"usgs":false,"family":"Rampe","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":961238,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"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":961239,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carrier, Brandi L.","contributorId":329935,"corporation":false,"usgs":false,"family":"Carrier","given":"Brandi","middleInitial":"L.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961240,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hays, Lindsay E.","contributorId":329950,"corporation":false,"usgs":false,"family":"Hays","given":"Lindsay","middleInitial":"E.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":961241,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Thiessen, Fiona","contributorId":329936,"corporation":false,"usgs":false,"family":"Thiessen","given":"Fiona","email":"","affiliations":[{"id":78738,"text":"European Space Research and Technology Centre","active":true,"usgs":false}],"preferred":false,"id":961242,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Paardekooper, Daniel","contributorId":371178,"corporation":false,"usgs":false,"family":"Paardekooper","given":"Daniel","affiliations":[{"id":17687,"text":"ESTEC","active":true,"usgs":false}],"preferred":false,"id":961243,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hutzler, Aurore","contributorId":329951,"corporation":false,"usgs":false,"family":"Hutzler","given":"Aurore","email":"","affiliations":[{"id":78746,"text":"ESA","active":true,"usgs":false}],"preferred":false,"id":961244,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Harrington, Andrea D.","contributorId":329949,"corporation":false,"usgs":false,"family":"Harrington","given":"Andrea","middleInitial":"D.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":961245,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Teece, Bronwyn L.","contributorId":371171,"corporation":false,"usgs":false,"family":"Teece","given":"Bronwyn","middleInitial":"L.","affiliations":[],"preferred":false,"id":961246,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70273938,"text":"70273938 - 2025 - Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","interactions":[],"lastModifiedDate":"2026-02-18T15:29:02.070069","indexId":"70273938","displayToPublicDate":"2025-10-03T09:18:40","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","docAbstract":"<p>This excursion presents a reinterpretation of mapping and new analytical data from the eastern Orange-Milford belt (OMB) in south-central Connecticut. The OMB is a fault-bound terrane of argillites and mafic rocks of anomalously low metamorphic grade—and of poorly constrained ages and tectonic affinity—wedged between kyanite/sillimanite-grade peri- Laurentian rocks to the west and anatectic peri-Gondwanan rocks to the east (Fig. 1A). Our data demonstrate that Ordovician(?) igneous and sedimentary rocks of the OMB were variably metamorphosed in the Ordovician and Silurian but escaped regionally pervasive, high-grade Devonian and later metamorphism. Previous interpretations (Fritts 1963a, 1965a, 1965b; Burger, 1967; Burger and others, 1968; Rodgers, 1985) described these rocks as a conformable sequence of low-grade, Ordovician to Devonian metasediments and metavolcanics. Our results reveal that the “metavolcanics” are not extrusive rocks but rather slivers of lower oceanic crust with complicated high- and low-grade metamorphic fabrics, intruded by a swarm of Silurian sheeted basalt dikes, and in fault contact with the surrounding metasediments. The purpose of this trip is to show evidence of early Paleozoic (Taconic) deformation and metamorphism preserved in rocks of the eastern OMB. These rocks remained shallow, cool, and sufficiently dry during the regionally dominant Acadian and Alleghanian orogenies to have avoided significant overprinting. As such, these rocks serve as windows into a geologic history otherwise unavailable between anatectic rocks of the peri-Gondwanan Bronson Hill, Avalon, and Gander terranes east of the Hartford basin and sillimanite-grade rocks of the peri-Laurentian Hartland and gneiss dome belts west of the OMB. We present major and trace element geochemistry including rare-earth element patterns for all mafic units in the eastern OMB as well as <sup>40</sup>Ar/<sup>39</sup>Ar age spectra of amphibole, muscovite, and K-feldspar from rocks of the Maltby Lakes complex (of Deasy and others, 2017), Savin Schist, and Wepawaug Schist. Our evidence demonstrates that the units of the OMB have been assembled by faulting or intrusion, and that no stratigraphic relationships exist between the argillaceous schists and the metaigneous rocks.&nbsp;</p>","conferenceTitle":"The 116th Annual Meeting of the New England Intercollegiate Geological Conference","conferenceDate":"October 3-5, 2025","conferenceLocation":"New Haven, CT","language":"English","publisher":"New England Intercollegiate Geologic Conference","usgsCitation":"Deasy, R.T., Wintsch, R.P., Wathen, B., McAleer, R.J., Meyer, R., and Kunk, M.J., 2025, Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut, The 116th Annual Meeting of the New England Intercollegiate Geological Conference, New Haven, CT, October 3-5, 2025, 28 p.","productDescription":"28 p.","ipdsId":"IP-180844","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.neigc.info/event-details/trip-c-tectonic-slivers-of-oceanic-crust-sheeted-dikes-and-sheared-gabbros-in-the-eastern-orange-milford-belt-connect"}],"country":"United States","state":"Connecticut","otherGeospatial":"Orange-Milford Belt","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Deasy, Ryan T. 0000-0002-7530-803X","orcid":"https://orcid.org/0000-0002-7530-803X","contributorId":299762,"corporation":false,"usgs":true,"family":"Deasy","given":"Ryan","middleInitial":"T.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wintsch, Robert P. 0000-0002-1969-5514","orcid":"https://orcid.org/0000-0002-1969-5514","contributorId":366404,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","middleInitial":"P.","affiliations":[{"id":86055,"text":"Indiana University emeritus","active":true,"usgs":false}],"preferred":false,"id":955821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wathen, Bryan","contributorId":148990,"corporation":false,"usgs":false,"family":"Wathen","given":"Bryan","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":955822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Romain","contributorId":148991,"corporation":false,"usgs":false,"family":"Meyer","given":"Romain","email":"","affiliations":[{"id":17609,"text":"Deutsche GeoForchungsZentrum Potsdam","active":true,"usgs":false}],"preferred":false,"id":955824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunk, Michael J.","contributorId":366405,"corporation":false,"usgs":false,"family":"Kunk","given":"Michael","middleInitial":"J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":955825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272077,"text":"70272077 - 2025 - Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","interactions":[],"lastModifiedDate":"2025-11-14T16:06:29.946987","indexId":"70272077","displayToPublicDate":"2025-10-03T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","docAbstract":"<p><span>Maars pose considerable hazards due to their more explosive nature (compared with more common scoria cones) and likelihood that eruptions produce pyroclastic surges. Blue Lake crater is a maar in the Oregon High Cascades that erupted within the last 3000&nbsp;years, making it one of the youngest eruptions in the Oregon Cascades. Its young, unaltered deposits make it an excellent site to examine the relationship between fragmentation processes and ash characteristics. This paper presents an extensive data set of grain size, componentry, texture, particle morphology, and surface features for 23 samples from 17 layers from Blue Lake crater to better understand fragmentation style and eruptive dynamics over the course of the eruption. We present detailed stratigraphy from 22 tephra pits and analyze tephra samples following a standardized method. An improved isopach map and a new isopleth map show the extensive, ENE-trending fallout and surge deposits. Based on the tephra sheet, the eruption can be divided into three phases, starting with a phreatomagmatic phase that produced laterally extensive, lithic-rich fallout deposits and excavated the initial crater. The middle phase of the eruption produced phreatomagmatically fragmented intercalated fallout and surge deposits. The eruption closed with coarse grained fallout deposits with a declining lithic content, indicating a shift towards a hybrid or phreato-Strombolian style. This detailed examination of the deposits leads to a more nuanced explanation of the eruption and fragmentation dynamics, which contribute to a better understanding of maar eruption processes and hazards.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01857-6","usgsCitation":"Leiter, S., Ross, P., and Johnson, E.R., 2025, Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA: Bulletin of Volcanology, no. 87, 92, 27 p., https://doi.org/10.1007/s00445-025-01857-6.","productDescription":"92, 27 p.","ipdsId":"IP-175655","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Blue Lake crater","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.87499438259134,\n              44.522898198963645\n            ],\n            [\n              -121.87499438259134,\n              44.51967210758181\n            ],\n            [\n              -121.87067741535604,\n              44.51967210758181\n            ],\n            [\n              -121.87067741535604,\n              44.522898198963645\n            ],\n            [\n              -121.87499438259134,\n              44.522898198963645\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"87","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Leiter, Sophia","contributorId":362099,"corporation":false,"usgs":false,"family":"Leiter","given":"Sophia","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Pierre-Simon","contributorId":362100,"corporation":false,"usgs":false,"family":"Ross","given":"Pierre-Simon","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Emily Renee 0000-0002-7967-6913","orcid":"https://orcid.org/0000-0002-7967-6913","contributorId":269628,"corporation":false,"usgs":true,"family":"Johnson","given":"Emily","email":"","middleInitial":"Renee","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272967,"text":"70272967 - 2025 - UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape","interactions":[],"lastModifiedDate":"2025-12-11T14:57:10.87794","indexId":"70272967","displayToPublicDate":"2025-10-03T07:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape","docAbstract":"<p>Context</p><p><span>Cheatgrass (</span><i>Bromus tectorum</i><span>&nbsp;L.) is a problem across the western United States, where it outcompetes and replaces native grass species, alters habitats, and increases the risk of wildfires. Cheatgrass greens up earlier in the growing season compared to native grasses, making it classifiable with multi-temporal and multi-spectral remote sensing.</span></p><p><span>Objectives</span></p><p><span>We mapped cheatgrass at different scales in the Greater Yellowstone Ecosystem using 10-m Sentinel-2 imagery, 3-m PlanetScope, and 10-cm Uncrewed Aerial Systems (UAS) imagery. We compared these maps to field-collected data to address 1) variation in seasonal phenological signals of native and cheatgrass patches, 2) the influence of scale on detectability and map accuracy across our study area.</span></p><p><span>Results</span></p><p><span>Model accuracy to predict cheatgrass presence increased with imagery resolution and ranged from 83% using 10-m Sentinel-2 to 94% with the integration of PlanetScope and UAS imagery. While there was spatial agreement across models, the fusion of UAS data with satellite sources allowed the detection of small cheatgrass with more precision. Our novel use of NExR and dNExR (a redness and differenced redness index) data in the classification of cheatgrass capitalizes on the senescence of cheatgrass during peak summer periods where cloud free imagery is more prevalent.</span></p><p><span>Conclusions</span></p><p><span>Our satellite and UAS-based models of cheatgrass prediction compare the fusion of very high resolution imagery and phenological time differencing to identify infested areas. Tradeoffs between accuracy and expense lead to important questions for management applications.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02200-2","usgsCitation":"Kreitler, J.R., Von Nonn, J.W., Munson, S.M., Zaideman, A.C., Bekedam, S.T., Rodman, A., and Villarreal, M., 2025, UAS and high-resolution satellite imagery improve the accuracy of cheatgrass detection across an invaded Yellowstone landscape: Landscape Ecology, v. 40, 189, 17 p., https://doi.org/10.1007/s10980-025-02200-2.","productDescription":"189, 17 p.","ipdsId":"IP-171263","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":497380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02200-2","text":"Publisher Index Page"},{"id":497321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Gardiner","otherGeospatial":"northern gate to Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.74822627648368,\n              45.036818856935014\n            ],\n            [\n              -110.74822627648368,\n              44.9980588003821\n            ],\n            [\n              -110.6517700780241,\n              44.9980588003821\n            ],\n            [\n              -110.6517700780241,\n              45.036818856935014\n            ],\n            [\n              -110.74822627648368,\n              45.036818856935014\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Von Nonn, Joshua W. 0009-0003-7251-7308","orcid":"https://orcid.org/0009-0003-7251-7308","contributorId":332293,"corporation":false,"usgs":true,"family":"Von Nonn","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zaideman, Alex C.","contributorId":363745,"corporation":false,"usgs":false,"family":"Zaideman","given":"Alex","middleInitial":"C.","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":951919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bekedam, Steven T.","contributorId":363746,"corporation":false,"usgs":false,"family":"Bekedam","given":"Steven","middleInitial":"T.","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":951920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodman, Ann","contributorId":150932,"corporation":false,"usgs":false,"family":"Rodman","given":"Ann","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":951921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":214980,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":951922,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274009,"text":"70274009 - 2025 - Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter","interactions":[],"lastModifiedDate":"2026-02-23T17:34:57.783598","indexId":"70274009","displayToPublicDate":"2025-10-02T10:29:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Collared pikas (</span><i>Ochotona collaris</i><span>) are cold adapted alpine lagomorphs of western Canada and Alaska, USA, that are vulnerable to direct and indirect effects of climate change. However, how and to what extent such changes influence persistence for this species is not well understood, particularly at fine spatial scales. Our goal was to evaluate how microclimate and microhabitat characteristics influence occupancy of collared pikas. We quantified thermal conditions during both summer and winter to test hypotheses about potential drivers of pika persistence. We recorded den occupancy and territory characteristics, including in situ measurements of den microclimate, across three study areas with contrasting climate gradients in southcentral and interior Alaska during 2017–2022. We examined changes in pika den occurrence by estimating annual colonization and extinction rates with a Bayesian dynamic occurrence model with forage availability, rock size, and multiple den temperature metrics as the explanatory variables. Our top model indicated that daily maximum temperature during both summer and winter best predicted den persistence and larger rocks had a moderating effect on warm summer den temperatures. This information helps to advance understanding about the mechanistic links between climate and population persistence for small mammal species under a rapidly changing arctic climate.</span></span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2502161","usgsCitation":"Harrison, L.A., Christie, K.S., Brandt, C., Falcy, M.R., Gilbert, S.L., Rachlow, J.L., 2025, Mechanisms influencing thermal refuges and territory occupancy by collared pikas during summer and winter: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2502161, 17 p., https://doi.org/10.1080/15230430.2025.2502161.","productDescription":"2502161, 17 p.","ipdsId":"IP-179160","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2502161","text":"Publisher Index Page"},{"id":500431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.45653673679158,\n              62.833897716435274\n            ],\n            [\n              -154.87402485631074,\n              60.0726821448782\n            ],\n            [\n              -149.37753560622093,\n              60.9339172578167\n            ],\n            [\n              -141.32845624709518,\n              59.98407037941388\n            ],\n            [\n              -140.91038491440708,\n              62.78570300568498\n            ],\n            [\n              -148.1580130001717,\n              64.18918315969188\n            ],\n            [\n              -155.45653673679158,\n              62.833897716435274\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lillian A.","contributorId":366637,"corporation":false,"usgs":false,"family":"Harrison","given":"Lillian","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christie, Katherine S.","contributorId":366638,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","middleInitial":"S.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Collette","contributorId":366639,"corporation":false,"usgs":false,"family":"Brandt","given":"Collette","affiliations":[{"id":87498,"text":"Joint Base Elmendorf-Richardson","active":true,"usgs":false}],"preferred":false,"id":956116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilbert, Sophie L.","contributorId":366640,"corporation":false,"usgs":false,"family":"Gilbert","given":"Sophie","middleInitial":"L.","affiliations":[{"id":87499,"text":"Vibrant Planet PBC","active":true,"usgs":false}],"preferred":false,"id":956118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rachlow, Janet L.","contributorId":366641,"corporation":false,"usgs":false,"family":"Rachlow","given":"Janet","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956119,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272669,"text":"70272669 - 2025 - Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution","interactions":[],"lastModifiedDate":"2026-01-07T17:33:27.413096","indexId":"70272669","displayToPublicDate":"2025-10-02T10:23:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution","docAbstract":"<p><span>The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) has a single, panmictic stock that ranges across the Bering and Chukchi Seas. However, its seasonal distribution is incompletely described, particularly in autumn when herds gather on shore, and abundance is of interest to management entities. We monitored walrus herds using satellite imagery on shore across their summer and autumn range in the Chukchi Sea to provide insights on seasonal distribution and abundance. During each study year (2017–2024), we documented walrus herd abundance at 8 Chukchi Sea haulouts based on the herd area detected in satellite imagery multiplied by herd density estimates derived from aerial survey data. In contrast to historical seasonal use, we found large herds on shore at only 3 sites, 1 in Alaska and 2 in northern Chukotka (Russia). In 2022, we observed a very large herd with an abundance (and 90% prediction interval) of 184,000 (min–max = 153,000–214,000) northwest of the Bering Strait, which enabled us to estimate a minimum population size (N</span><sub>min</sub><span>) by correcting the abundance estimate by the proportion of walruses that may be hauled out and available for detection. Our estimate of 250,000 was commensurate with the N</span><sub>min</sub><span>&nbsp;estimate (214,000) from a 2013–2017 Pacific walrus genetic mark-recapture study.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1614","usgsCitation":"Fischbach, A., Taylor, R.L., and Douglas, D., 2025, Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution: Wildlife Society Bulletin, v. 49, no. 4, e1614, 15 p., https://doi.org/10.1002/wsb.1614.","productDescription":"e1614, 15 p.","ipdsId":"IP-177020","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":497118,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1614","text":"Publisher Index Page"},{"id":497014,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.93329442452998,\n              71.88906251809732\n            ],\n            [\n              -179.83432013170355,\n              67.84896545701015\n            ],\n            [\n              -173.47189614919742,\n              65.81108912941576\n            ],\n            [\n              -169.36873613536477,\n              65.64307141045649\n            ],\n            [\n              -162.35050637387656,\n              66.07780618690225\n            ],\n            [\n              -159.94513066611069,\n              70.71050879067744\n            ],\n            [\n              -179.93329442452998,\n              71.88906251809732\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              177.62607489674906,\n              72.2560194763146\n            ],\n            [\n              177.62607489674906,\n              68.47301701440111\n            ],\n            [\n              179.9,\n              68.47301701440111\n            ],\n            [\n              179.9,\n              72.2560194763146\n            ],\n            [\n              177.62607489674906,\n              72.2560194763146\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":951274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":951275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":951276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272018,"text":"sir20255061 - 2025 - Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey","interactions":[],"lastModifiedDate":"2026-04-27T14:44:29.910426","indexId":"sir20255061","displayToPublicDate":"2025-10-01T14:49:12","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5061","displayTitle":"Statistical Streamflow Comparison of Current and Historical 30-Year Periods for Selected Streams in New Jersey","title":"Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey","docAbstract":"<p>As the population of New Jersey increases, supplying adequate drinking water to meet demand remains a high priority. To better understand potential streamflow trends over time, the U.S. Geological Survey completed a study comparing low flows at continuous- and partial-record streamgages in New Jersey between a historical period (1950–79) and a current period (1990–2019). Fourteen statistics (one median for each of the twelve monthly minimum 1-day flows, minimum 7-day average streamflow with a 10-year recurrence interval, and median of the daily mean flows for the month of September) were calculated to evaluate how streamflow conditions may differ between the two time periods. Percent change was also calculated to better understand the magnitude of difference between the periods at individual streamgages. A Paired Wilcoxon Signed-Rank Test was implemented to test for a change in distribution between the two time periods for each statistic of interest. Results indicated that the median of the minimum 1-day flows for the months of January, February, June, September, and December and the median of the daily mean flows for the month of September had a statistically significant difference in distribution between the time periods for continuous-record streamgages. None of the statistics had a statistically significant difference in distribution for the partial-record streamgages. The largest percent changes between time periods occurred in the northern part of the state, above the Fall Line. Precipitation, land cover, and water use changes were assessed to contribute to the understanding of these differences between time periods. The median of the minimum 1-day flows for the months of January and December generally increased across the state, whereas the median of the minimum 1-day flows for the months of May and September generally decreased throughout the state.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255061","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Williams, B.M., Sullivan, S.L., Suro, T.P., Collenburg, J.V., McHugh, A.R., and Shourds, J.L., 2025, Statistical streamflow comparison of current and historical 30-year periods for selected streams in New Jersey: U.S. Geological Survey Scientific Investigations Report 2025–5061, 40 p., https://doi.org/10.3133/sir20255061.","productDescription":"Report, ix, 40 p.; 2 Data Releases","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-164588","costCenters":[{"id":470,"text":"New Jersey Water Science 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Jersey\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nj-water\" data-mce-href=\"https://www.usgs.gov/centers/nj-water\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ 08648</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Related Studies</li><li>Study Area and Streamgages</li><li>Methods for Selecting Streamgages and Streamflow Statistics</li><li>Evaluating Environmental Changes Between Study Periods</li><li>Statistical Analysis of Flow Conditions</li><li>Summary and Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-11-18","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Samantha L. 0000-0002-9462-0029","orcid":"https://orcid.org/0000-0002-9462-0029","contributorId":205316,"corporation":false,"usgs":true,"family":"Sullivan","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":949736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collenburg, Jerilyn V. 0000-0002-3513-3116","orcid":"https://orcid.org/0000-0002-3513-3116","contributorId":224351,"corporation":false,"usgs":true,"family":"Collenburg","given":"Jerilyn V.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHugh, Amy R. 0000-0002-7745-9886","orcid":"https://orcid.org/0000-0002-7745-9886","contributorId":205491,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949739,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274252,"text":"70274252 - 2025 - Thirty years of the U.S. National Land Cover Database: Impacts and future direction","interactions":[],"lastModifiedDate":"2026-03-19T20:00:20.373012","indexId":"70274252","displayToPublicDate":"2025-10-01T14:33:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5987,"text":"Photogrammetric Engineering & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Thirty years of the U.S. National Land Cover Database: Impacts and future direction","docAbstract":"<p><span>The National Land Cover Database (NLCD), developed through the Multi-Resolution Land Characteristics Consortium, was initiated 30 years ago and has continually provided critical, Landsat-based landcover and land-change information for the United States. Originally launched to address the lack of national-scale, moderate-resolution land-cover data, NLCD has evolved from the pioneering 1992 dataset into a comprehensive, annually updated product suite. Key innovations include the introduction of impervious surface mapping, forest canopy mapping, standardized Landsat mosaics, national-scale accuracy assessments, continual evolution of deep learning and artificial intelligence methodologies, and a transition toward operational, change-focused monitoring. The NLCD has become an essential resource for scientific research, land management, and policy development, with extensive adoption across federal, state, and local agencies; academia; and the private sector. The NLCD data underpin a wide array of applications, including biodiversity conservation, urban planning, hydrology, human health studies, and natural hazard assessment. As new global and high-resolution commercial land-cover products emerge, the NLCD continues to distinguish itself through its temporal depth, federal backing, and thematic consistency. Moving forward, the NLCD will maintain its niche as the leading, moderate-resolution, long-term land-cover and land-change dataset for the United States, ensuring continued support for broad national applications while complementing higher-resolution and global-mapping efforts.</span></p>","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.25-00121R2","usgsCitation":"Sohl, T.L., Jin, S., Dewitz, J., Wickham, J., Brown, J.F., Stehman, S., Herold, N., Schleeweis, K., Tollerud, H.J., and Deering, C., 2025, Thirty years of the U.S. National Land Cover Database: Impacts and future direction: Photogrammetric Engineering & Remote Sensing, v. 91, no. 10, p. 647-659, https://doi.org/10.14358/PERS.25-00121R2.","productDescription":"13 p.","startPage":"647","endPage":"659","ipdsId":"IP-180474","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":501337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":957184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewitz, Jon 0000-0002-0458-212X","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":222454,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wickham, James","contributorId":140259,"corporation":false,"usgs":false,"family":"Wickham","given":"James","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":957186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":957187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehman, Stephen","contributorId":39747,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","affiliations":[],"preferred":false,"id":957188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herold, Nathaniel","contributorId":140258,"corporation":false,"usgs":false,"family":"Herold","given":"Nathaniel","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":957189,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schleeweis, Karen","contributorId":169308,"corporation":false,"usgs":false,"family":"Schleeweis","given":"Karen","email":"","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":957190,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957191,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Deering, Carol 0000-0003-3565-6264 cdeering@usgs.gov","orcid":"https://orcid.org/0000-0003-3565-6264","contributorId":3001,"corporation":false,"usgs":true,"family":"Deering","given":"Carol","email":"cdeering@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":957192,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272576,"text":"70272576 - 2025 - Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species","interactions":[],"lastModifiedDate":"2025-12-02T20:21:19.673395","indexId":"70272576","displayToPublicDate":"2025-10-01T14:17:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22978,"text":"Lakeline Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Lane, R.F., Greer, J.B., Gordon, S.E., Williams, B., and Smalling, K., 2025, Treading water: How 6PPD-quinone makes it to our local water bodies & what it means for sensitive fish species: Lakeline Magazine, v. 45, no. 3, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-183051","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":497000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496805,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/lakeline-magazine/"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":950839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":950840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274755,"text":"70274755 - 2025 - Module 4: Basic biology of wetland animals","interactions":[],"lastModifiedDate":"2026-05-29T15:46:16.600889","indexId":"70274755","displayToPublicDate":"2025-10-01T10:39:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5164,"text":"Wetland Science & Practice","active":true,"publicationSubtype":{"id":10}},"title":"Module 4: Basic biology of wetland animals","docAbstract":"An assortment of animals inhabit wetlands, with many invertebrates, amphibians and reptiles, fishes, birds, and some mammals being wetland specialists. Wetlands provide ample water, food, and cover that benefits resident animals, but periodic high floods, frequent drying, and harsh water qualities (low-oxygen, acidic, saline) can stress wetland animals. Animals that rely on wetlands have developed numerous adaptations to cope with these stresses. The animal biodiversity in wetlands is particularly valued by people, from deep historical and cultural connections, to modern ecotourists and bird watchers who observe it and hunters and anglers who appreciate the consumptive resources they provide. Animals such as alligators and beavers create or physically-modify wetland environments; this activity is called ecosystem engineering and makes these animals among the most important organisms to wetland ecology. Wetlands are high in biodiversity and support rich communities of wetland invertebrates, are primary breeding habitats for most amphibians, and nearly all migratory birds rely on wetlands during some part of their annual cycle.  The interactions of animals with plants (herbivory, cutting) and each other (predation) strongly shape wetland environments and affect nutrient cycling. Human impacts on wetlands can negatively affect many animals through habitat loss and degradation, resulting in many wetland amphibians, reptiles, and birds being listed as threatened and endangered species.  Thus, wetland conservation is vital to conserve many animal species.","language":"English","publisher":"Society of Wetland Scientists","usgsCitation":"Batzer, D., Smith, L.L., Stafford, J.D., Harrison-Day, V., Kucia, S.R., Severud, W.J., and Zhang, Y., 2025, Module 4: Basic biology of wetland animals: Wetland Science & Practice, v. 43, no. 4, p. 307-320.","productDescription":"14 p.","startPage":"307","endPage":"320","ipdsId":"IP-162448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504868,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sws.org/page/wsp2025"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Batzer, Darold","contributorId":369421,"corporation":false,"usgs":false,"family":"Batzer","given":"Darold","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lora L.","contributorId":369425,"corporation":false,"usgs":false,"family":"Smith","given":"Lora","middleInitial":"L.","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":958938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison-Day, Violet","contributorId":369422,"corporation":false,"usgs":false,"family":"Harrison-Day","given":"Violet","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":958935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kucia, Samuel R.","contributorId":369423,"corporation":false,"usgs":false,"family":"Kucia","given":"Samuel","middleInitial":"R.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":958936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severud, William J.","contributorId":369424,"corporation":false,"usgs":false,"family":"Severud","given":"William","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":958937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Youzheng","contributorId":369426,"corporation":false,"usgs":false,"family":"Zhang","given":"Youzheng","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":958940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274044,"text":"70274044 - 2025 - Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird","interactions":[],"lastModifiedDate":"2026-02-24T15:02:57.568821","indexId":"70274044","displayToPublicDate":"2025-10-01T10:07:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Drought, human disturbance, and invasive species are reshaping disturbance regimes and increasing the scale, severity, and frequency of wildfire in many ecosystems around the globe, including the sagebrush steppe of western North America. Recent studies suggested greater sage-grouse (<i>Centrocercus urophasianus</i>) adhere to strong site fidelity in the aftermath of wildfire, remaining inside fire perimeters for nesting and brood rearing despite negative consequences for survival and reproduction. Sage-grouse in Idaho exhibited context-dependent changes to space use after a large, high-severity fire that burned &gt; 40,000&nbsp;ha, yet the specific behavioral responses to fire and their fitness consequences remain unclear. We used data collected from 269 hens over a 6-year period under a multi-level before-after-control-impact design to test the hypothesis that sage-grouse mitigated fitness consequences of high-severity wildfire through adaptive behavioral responses and spatial redistribution.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>We tested predictions deduced from our hypothesis at the population and individual levels using behavioral, demographic, and life history data, including nesting metrics, brood-rearing metrics, hen survival, and body mass at capture. Fifteen of 16 predictions were supported, demonstrating that post-fire space use and avoidance of the burn was adaptive and helped mitigate fitness effects of the fire. Short-term consequences included elimination of nesting and brood rearing habitat and subsequent shifts to the distribution of usable space. Yet fitness consequences were minimal because of behavioral flexibility employed by hens during nesting and brood rearing.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Behavioral responses to wildfire by sage-grouse are more flexible than has been described, and sage-grouse demonstrated resilience by rapidly adapting space use to avoid short-term consequences of catastrophic fire when high-quality habitat remained adjacent to the burn and within their seasonal range. Our results imply behavioral and fitness consequences of fire are context-dependent and likely impacted by attributes of the fire and surrounding landscape after disturbance. Furthermore, among-study differences in behavioral and fitness outcomes of sage-grouse after fire supported underappreciated predictions from both fire ecology and site fidelity theory, and suggest conditions where behavioral flexibility should be expressed, and fidelity relaxed, based on severity of disturbance, landscape context, and species mobility.</p>","language":"English","publisher":"Springer","doi":"10.1186/s42408-025-00391-2","usgsCitation":"Stevens, B.S., Conway, C.J., Roberts, S.B., Englestead, D.K., 2025, Fitness consequences of catastrophic wildfire are mitigated by behavioral responses of an iconic bird: Fire Ecology, v. 21, 54, 26 p., https://doi.org/10.1186/s42408-025-00391-2.","productDescription":"54, 26 p.","ipdsId":"IP-169334","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500603,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00391-2","text":"Publisher Index Page"},{"id":500413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":956282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Shane B.","contributorId":338986,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","email":"","middleInitial":"B.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Englestead, Devin K.","contributorId":366830,"corporation":false,"usgs":false,"family":"Englestead","given":"Devin","middleInitial":"K.","affiliations":[{"id":37086,"text":"U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272610,"text":"70272610 - 2025 - Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","interactions":[],"lastModifiedDate":"2025-11-24T16:13:28.896732","indexId":"70272610","displayToPublicDate":"2025-10-01T10:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","docAbstract":"<p><span>Animal movement influences local transmission and geographic spread of pathogens. Waterfowl are known reservoirs of pathogens, including H5 goose/Guangdong lineage (H5 GsGd) highly pathogenic avian influenza (HPAI). This HPAI virus lineage causes high rates of morbidity and mortality in domestic poultry and many wild bird species. Mallards (</span><i>Anas platyrhynchos</i><span>) are a generalist waterfowl species whose habitat largely overlaps with many other waterfowl and are considered effective spillover vectors of HPAI. To investigate the potential contribution of waterfowl to HPAI spillover, we used mallards as a proxy and measured the spatiotemporal overlap of 183 GPS-tagged mallards during 2021–2022 with respect to confirmed wild bird spillover events in United States (U.S.) poultry farms. Additionally, we estimated the probability of HPAI spillover events as a function of mallard overlap and poultry farm type. We found infrequent overlap instances between mallards and poultry farms; however, several of these overlap instances lasted &gt; 5 days and up to 19 days. Population-level overlap with poultry farms was greatest during pre-breeding migration, followed by the breeding season. The probability of HPAI spillover was predicted to be greatest for commercial turkey farms, followed by backyard poultry farms. Importantly, farms overlapped by mallards were more than twice as likely to experience a spillover (i.e., increased risk probability), even in the absence of known mallard infection status at the time of overlap. These findings suggest that mallards (and/or other waterfowl) may be important contributors to HPAI spillover into poultry farms and that additional biosecurity measures may be needed. Because few instances of overlap occurred between mallards and farms with reported spillover events, tagged mallards are likely a proxy for other untagged waterfowl. Further studies of wild waterfowl interactions with poultry farms could improve understanding of how landscape characteristics influence spatial overlap, potentially informing which premises may require enhanced biosecurity measures.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72221","usgsCitation":"Cullen, J.A., Masto, N.M., Sullivan, J.D., Highway, C., Patyk, K.A., McCool, M., Torchetti, M.K., Lantz, K., Poulson, R., Carter, D., Feddersen, J., Cohen, B.S., and Prosser, D.J., 2025, Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events: Ecology and Evolution, v. 15, no. 10, e72221, 14 p., https://doi.org/10.1002/ece3.72221.","productDescription":"e72221, 14 p.","ipdsId":"IP-171232","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72221","text":"Publisher Index Page"},{"id":496831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"northwest Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.28286191440344,\n              36.49028636519512\n            ],\n            [\n              -90.12564166360227,\n              36.49028636519512\n            ],\n            [\n              -90.12564166360227,\n              35.224526094303684\n            ],\n            [\n              -88.28286191440344,\n              35.224526094303684\n            ],\n            [\n              -88.28286191440344,\n              36.49028636519512\n            ]\n          ]\n        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0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Highway, Cory","contributorId":316652,"corporation":false,"usgs":false,"family":"Highway","given":"Cory","affiliations":[{"id":68664,"text":"Tennessee Technical University","active":true,"usgs":false}],"preferred":false,"id":950913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patyk, Kelly A.","contributorId":139696,"corporation":false,"usgs":false,"family":"Patyk","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":950914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCool, Mary-Jane","contributorId":347273,"corporation":false,"usgs":false,"family":"McCool","given":"Mary-Jane","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":950915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torchetti, Mia Kim","contributorId":363012,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","middleInitial":"Kim","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":950916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lantz, Kristina","contributorId":317920,"corporation":false,"usgs":false,"family":"Lantz","given":"Kristina","email":"","affiliations":[{"id":69192,"text":"National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA","active":true,"usgs":false}],"preferred":false,"id":950917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":950918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carter, Deborah","contributorId":213914,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","affiliations":[{"id":38928,"text":"University of Georgia Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":950919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feddersen, Jamie","contributorId":329381,"corporation":false,"usgs":false,"family":"Feddersen","given":"Jamie","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":950920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cohen, Bradley S.","contributorId":171513,"corporation":false,"usgs":false,"family":"Cohen","given":"Bradley","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":950921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950922,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70273490,"text":"70273490 - 2025 - Update to a management-focused population viability analysis for North Atlantic right whales","interactions":[],"lastModifiedDate":"2026-01-20T16:12:22.264469","indexId":"70273490","displayToPublicDate":"2025-10-01T10:01:58","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NMFS-NE-337","title":"Update to a management-focused population viability analysis for North Atlantic right whales","docAbstract":"<p>We provide an update to the recently published population viability analysis for North Atlantic right whales (<i>Eubalaena glacialis</i>). The update includes improvements to the reproduction modeling and also shares additional context given evidence of reduced mortality indicated by&nbsp;recent population monitoring. Projections from the analysis are used to quantify simulated population sizes across 100 years and resulting quasi-extinction probabilities (falling below 50 mature females that have proven ability to reproduce) to compare hypothetical scenarios related to management of threats and changing environmental conditions. Under a status quo scenario&nbsp;reflecting conditions of 2019, prior to the enactment of new regulations by the U.S. and Canada, the North Atlantic right whale population would be expected to continue to fall, with a median decline of 88 percent (95% projection interval, –98 percent to –45 percent change) and a probability of falling below 50 proven females (i.e., quasi-extinction) of 0.988 at 100 years. In hypothetical scenarios that fully remove each of the three primary threats to right whales one&nbsp;at a time, removal of the entanglement threat alone reduces the probability of falling below 50 proven females in 100 years to 0.070; removal of the vessel strike threat alone reduces it&nbsp;to 0.522; and a return to historical prey abundance patterns (pre-2010), but with both human-related threats still in place, reduces it to 0.524. Although additional baseline scenarios were explored to examine the potential effects of recent regulations, we found that the most up-to-date mortality rates (2020–2022) are similar to those simulated under a 70% reduction in severe entanglement injury compared to rates estimated during 2013–2019.&nbsp;If management measures implemented in the U.S. and Canada continue to reduce mortality, the estimated probability of falling below 50 proven females in 100 years is 0.234. Our model continues to provide a tool for assessing North Atlantic right whale recovery.&nbsp;</p>","language":"English","publisher":"NOAA","doi":"10.25923/0xdp-8s42","usgsCitation":"Linden, D., Runge, M., Hostetler, J.A., Borggaard, D., Garrison, L., Knowlton, A., Lesage, V., Williams, R., and Pace III, R., 2025, Update to a management-focused population viability analysis for North Atlantic right whales: NOAA Technical Memorandum NMFS-NE-337, 29 p., https://doi.org/10.25923/0xdp-8s42.","productDescription":"29 p.","ipdsId":"IP-181288","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Linden, Daniel","contributorId":199671,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","affiliations":[],"preferred":false,"id":953918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":214737,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":953920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borggaard, Diane","contributorId":244380,"corporation":false,"usgs":false,"family":"Borggaard","given":"Diane","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrison, Lance","contributorId":244391,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953922,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":953923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lesage, Véronique","contributorId":352276,"corporation":false,"usgs":false,"family":"Lesage","given":"Véronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":953924,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":953925,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pace III, Richard","contributorId":365205,"corporation":false,"usgs":false,"family":"Pace III","given":"Richard","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":953926,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70266468,"text":"70266468 - 2025 - Extracting lymph nodes for Chronic Wasting Disease (CWD) testing","interactions":[],"lastModifiedDate":"2026-06-05T15:01:48.581949","indexId":"70266468","displayToPublicDate":"2025-10-01T09:59:16","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":24804,"text":"Eagles Nest Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Extracting lymph nodes for Chronic Wasting Disease (CWD) testing","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Native American Fish and Wildlife Society","usgsCitation":"Chiavacci, S.J., 2025, Extracting lymph nodes for Chronic Wasting Disease (CWD) testing: Eagles Nest Newsletter, no. Fall 2025, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-178820","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":505093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Fall 2025","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":936054,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272617,"text":"70272617 - 2025 - Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska","interactions":[],"lastModifiedDate":"2025-11-25T14:13:35.991175","indexId":"70272617","displayToPublicDate":"2025-10-01T09:44:09","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska","docAbstract":"This study employs a multi-method analytical approach to characterize the mineralogical, geochemical, and textural properties of fault rocks from the Pogo gold mine in the Yukon-Tanana Upland, central Alaska. Specifically, we examine cataclasites, to document the structural and geochemical evolution of shear zones and their associations with gold mineralization. \nTo investigate the shear zone, we integrate portable X-ray fluorescence (pXRF), scanning electron microscopy-based automated mineralogy (SEM-AM), X-ray diffraction (XRD), and high-resolution micro-X-ray fluorescence (micro-XRF) mapping. These methods collectively provide insights into bulk and trace element chemistry, mineralogical composition, and deformation-related textures across multiple scales. Handheld pXRF enables rapid geochemical screening, guiding SEM-AM and XRD analyses to ensure consistent mineralogical interpretation. X-ray diffraction identifies and quantifies crystalline phases, while SEM-AM produces high-resolution mineral maps, revealing mineral abundances, grain-scale textures, and gold associations. Micro-XRF mapping further refines our understanding by showing visual trace element distributions at sub-millimetre resolution.\nBy integrating these techniques, we improve our understanding of the nature and geochemistry of Pogo shear zones, their role in gold mineralization, and support metallurgical processing strategies. This approach enhances exploration models and resource characterization for structurally complex gold deposits.","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Pfaff, K.I., Kasprowicz, F., Caine, J., Benzel, W., and Lowers, H.A., 2025, Combining scanning electron microscopy, X-ray diffraction, and X-ray fluorescence to characterize shear zones at the Pogo gold deposit, Alaska, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1157-1160.","productDescription":"4 p.","startPage":"1157","endPage":"1160","ipdsId":"IP-176764","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496856,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":496827,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Katharina I. 0000-0002-6605-2722","orcid":"https://orcid.org/0000-0002-6605-2722","contributorId":362430,"corporation":false,"usgs":true,"family":"Pfaff","given":"Katharina","middleInitial":"I.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprowicz, Filip","contributorId":363040,"corporation":false,"usgs":false,"family":"Kasprowicz","given":"Filip","affiliations":[{"id":86594,"text":"Center to Advance the Science of Exploration to Reclamation in Mining, Department of Geology and Geological Engineering, Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":950952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":950953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950955,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272182,"text":"70272182 - 2025 - One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","interactions":[],"lastModifiedDate":"2025-11-18T15:41:36.861691","indexId":"70272182","displayToPublicDate":"2025-10-01T09:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1088,"text":"Buffalo Environmental Law Journal","active":true,"publicationSubtype":{"id":10}},"title":"One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","docAbstract":"<p>The U.S. Environmental Protection Agency (EPA) regulates pesticide use in the United States. The EPA is charged by the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) with ensuring that a pesticide will not cause unreasonable adverse effects on the environment. Incident reports (documentation of exposure and injury from pesticide applications) can serve as a reality check on the pesticide registration decisions made by the EPA scientists and risk managers. The EPA collects incident reports on human, domestic animal, and ecological injury. The FIFRA section 6(a)(2) rule requires the pesticide registrant (generally, the company or other entity that wishes to market the pesticide, hereafter registrant) to submit such data to the EPA. </p><p>The EPA’s ecological incident category includes injuries to aquatic (fish), terrestrial (wildlife), other non-target organisms (ONT, e.g., invertebrates) and plants. Our document focuses on the fish and wildlife ecological incidents that are submitted by registrants. We critique the application of the FIFRA section 6(a)(2) rule that controls the quality and quantity of ecological incident data that the EPA receives from registrants. We conclude that the section 6(a)(2) provisions can impede the transfer of ecological incident data from registrant to the EPA. Consequently, detailed data for many fish and wildlife incidents may never reach the EPA, and policies and decisions may be formulated in the absence of these data.</p>","language":"English","publisher":"University at Buffalo School of Law","usgsCitation":"Vyas, N.B., and Palmer, C., 2025, One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2): Buffalo Environmental Law Journal, v. 31, 63 p.","productDescription":"63 p.","ipdsId":"IP-154414","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496572,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.law.buffalo.edu/belj/vol31/iss1/","linkFileType":{"id":5,"text":"html"}}],"volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Cynthia","contributorId":362357,"corporation":false,"usgs":false,"family":"Palmer","given":"Cynthia","affiliations":[{"id":86509,"text":"Moms Clean Air Force, c/o Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":950359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275124,"text":"70275124 - 2025 - Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","interactions":[],"lastModifiedDate":"2026-04-16T14:39:30.495872","indexId":"70275124","displayToPublicDate":"2025-10-01T09:30:41","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24003,"text":"STAC Publication","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"25-005","title":"Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","docAbstract":"<p>The Chesapeake Bay and its watershed (hereafter “Chesapeake Bay region”) have been the focus of extensive restoration efforts for several decades. These restoration efforts are guided by the Chesapeake Bay Watershed Agreement (Chesapeake Executive Council 2014) which outlines 10 goals and 31 measurable outcomes. The Chesapeake Bay is globally recognized as a model for coastal restoration due to long-term investments in monitoring, modeling, implementation and research by the Chesapeake Bay Program (CBP) partnership. These monitoring network spans tidal and non-tidal regions and provides data across multiple scales. Artificial intelligence (AI), particularly machine-learning (ML) and deep learning (DL), has emerged as a powerful tool for analyzing large, complex datasets. These techniques have gained widespread adoption across various disciplines, including ecology, hydrology, and environmental science. In the Bay context, AI/ML is increasingly being used to explore drivers of environmental change, analyze system dynamics, and predict conditions in areas with limited monitoring.&nbsp;</p><p>The CBP partnership, particularly its Scientific and Technical Advisory Committee (STAC), has increasingly recognized the growing role of AI/ML in watershed and estuarine management. Recent Chesapeake Community Research Symposium sessions and initiatives such as the Chesapeake Global Collaboratory highlight increasing regional momentum to apply big data and AI/ML for environmental solutions. Together, these developments underscore the timely need to explore how AI/ML can help advance Chesapeake Bay restoration and management.&nbsp;</p><p>This STAC workshop, titled “Leveraging Artificial Intelligence and Machine learning to Advance Chesapeake Bay Research and Management: A review of status, challenges, and opportunities,” was held from February 24-25, 2025, in Edgewater, Maryland to bring together over 50 federal, state, and academic scientists and partners to synthesize the current state of AI/ML applications and identify research gaps in Chesapeake Bay research and management. The workshop focused on three main objectives: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">1. Summarize recent AI/ML applications and lessons learned in both tidal and nontidal areas of the Chesapeake Bay region. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">2. Identify challenges and gaps in applying AI/ML approaches to Chesapeake Bay data. Such challenges and gaps may include data limitations, harmonization issues, ineffective communication of AI/ML insights, and a lack of coordination among research and management institutions. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">3. Develop recommendations and identify opportunities for leveraging AI/ML to address issues across the Chesapeake Bay region. Key areas of focus may include generating new information to support watershed management, delivering AI/MLgenerated insights to managers in a clear and actionable way, and fostering greater collaboration among stakeholders within the CBP Partnership.&nbsp;</p><p>Workshop participants engaged in science presentations and breakout sessions to develop recommendations for advancing the integration of AI/ML techniques into research and management across the Chesapeake Bay region. By synthesizing current applications, identifying challenges, and exploring new opportunities, the workshop has provided valuable insights and recommendations for better leveraging AI/ML approaches to support the success of Bay restoration efforts. Together, these recommendations provide a roadmap for enhancing data-driven, science-based decision making aligned with the goals and outcomes of the Chesapeake Bay Watershed Agreement.&nbsp;</p>","language":"English","publisher":"Chesapeake Bay Scientific and Technical Advisory Committee","usgsCitation":"Zhang, Q., Baker, M., Bertani Isabella, Dennison, B., Linker, L.C., Maloney, K.O., Sabo, R.D., Shen, C., Shenk, G.W., Van Meter, K., and Cole, M., 2025, Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities: STAC Publication 25-005, iv, 41 p.","productDescription":"iv, 41 p.","ipdsId":"IP-183399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502893,"rank":1,"type":{"id":15,"text":"Index 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