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In this paper, we use three examples from multiple sectors to (1) identify the role of USGS NSHMs in evaluating seismic risks to critical infrastructure, (2) quantify potential impacts from NSHM enhancements (i.e., [i] hazard curves for the vertical component of ground motion, [ii] stochastic event sets, and [iii] maps of probabilistic ground failure hazards), and (3) clarify the feasibility of relevant NSHM improvements. We illuminate that NSHMs are commonly used in location-specific performance assessments, whereas earthquake effects on critical infrastructure can be widespread across large geospatial regions. Further, we found that without the NSHM extensions considered here, risk can be severely underestimated, e.g., neglecting ground failure hazards can underestimate regional loss by a factor of two or more. Although many challenges remain, we developed example prototypes to clarify the feasibility of the NSHM extensions, which can facilitate improved management of risks to critical infrastructure.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70019","usgsCitation":"Jaiswal, K.S., and Kwong, N.S., 2026, Opportunities for the U.S. Geological Survey’s National Seismic Hazard Model to improve seismic risk assessment of critical infrastructure.: Earthquake Spectra Journal, v. 42, no. 2, e70019, 20 p., https://doi.org/10.1002/esp4.70019.","productDescription":"e70019, 20 p.","ipdsId":"IP-170554","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":502099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70019","text":"Publisher Index 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,{"id":70274637,"text":"70274637 - 2026 - Invasive carps versus native fish: A first-pass trait-based index for assessing competition threats.","interactions":[],"lastModifiedDate":"2026-04-02T17:24:54.415981","indexId":"70274637","displayToPublicDate":"2026-02-25T10:17:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Invasive carps versus native fish: A first-pass trait-based index for assessing competition threats.","docAbstract":"<p class=\"TitleInline\"><strong>Introduction:<span>&nbsp;</span></strong></p><p>Bigheaded carp (<i>Hypophthalmichthys</i><span>&nbsp;</span>spp.) are invasive fish in the Mississippi River basin. Their rapid proliferation has raised concerns about exploitative competition with native fishes, with consequences that remain incompletely understood. We aimed to identify native species most susceptible to competition based on overlap with bigheaded carp in dietary and habitat traits.</p><p class=\"TitleInline\"><strong>Methods:<span>&nbsp;</span></strong></p><p>We used an established fish traits database to quantify dietary and habitat overlap between bigheaded carp and 100 native fish species. We then integrated dietary and habitat overlap into a composite competition index.</p><p class=\"TitleInline\"><strong>Results:<span>&nbsp;</span></strong></p><p>Dietary similarity with the native assemblage exceeded habitat similarity, suggesting that while competition with some native species may occur, it may often be limited by spatial separation. Dietary and habitat similarity coefficients were not correlated, indicating that strong dietary overlap did not necessarily coincide with similar habitat use (and vice versa). Approximately 20% of species were classified as high competition risk. The highest-risk species included bigmouth buffalo (<i>Ictiobus cyprinellus</i>), threadfin shad (<i>Dorosoma petenense</i>), black redhorse (<i>Moxostoma duquesnii</i>), bluntnose minnow (<i>Pimephales notatus</i>), highfin carpsucker (<i>Carpiodes velifer</i>), and gizzard shad (<i>Dorosoma cepedianum</i>).</p><p class=\"TitleInline\"><strong>Discussion:<span>&nbsp;</span></strong></p><p>Although trait-based predictions have limitations, our results are consistent with empirically documented interactions and provide a rapid, first-pass assessment of potential competitive vulnerability. Dietary overlap, habitat overlap, and the derived competition index offer actionable decision-support for managing potential competition between bigheaded carp and native species. We included ten practical recommendations to translate predictions into conservation and management actions.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2026.1764296","usgsCitation":"Miranda, L.E., and Angulo-Valencia, M.A., 2026, Invasive carps versus native fish: A first-pass trait-based index for assessing competition threats.: Frontiers in Freshwater Science, v. 4, 1764296, 14 p., https://doi.org/10.3389/ffwsc.2026.1764296.","productDescription":"1764296, 14 p.","ipdsId":"IP-184245","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2026.1764296","text":"Publisher Index Page"},{"id":502017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.96240110971458,\n              37.72998354421688\n            ],\n            [\n              -89.96240110971458,\n              34.67756506650707\n            ],\n            [\n              -81.77851873949213,\n              34.67756506650707\n            ],\n            [\n              -81.77851873949213,\n              37.72998354421688\n            ],\n            [\n              -89.96240110971458,\n              37.72998354421688\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angulo-Valencia, Mirtha A.","contributorId":369131,"corporation":false,"usgs":false,"family":"Angulo-Valencia","given":"Mirtha","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":958508,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275565,"text":"70275565 - 2026 - Metalloporphyrins in the Eagle Ford Shale","interactions":[],"lastModifiedDate":"2026-05-04T15:18:44.312809","indexId":"70275565","displayToPublicDate":"2026-02-25T10:11:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Metalloporphyrins in the Eagle Ford Shale","docAbstract":"Using Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), Zheng et al. (2018, Energy & Fuels 32, 10382) reported abundant iron and vanadyl porphyrins and minor amounts of gallium and nickel porphyrins in asphaltenes extracted from a single lower Eagle Ford Shale sample.  This finding is most unusual as iron and gallium porphyrins have been previously found only in coal.  In this study, petroporphyrins in samples of the Eagle Ford Shale previously studied by French et al. (2020, Marine Petrol. Geol. 118, 104459), were examined using atmospheric pressure photoionization (APPI) FT-ICR-MS.  Vanadyl porphyrins (N4VO) dominated the asphaltenes in thermally immature (VRo < 0.56%) samples decreasing in relative abundance with increasing maturity. Only minor amounts of nickel porphyrins were detected in the immature and early oil samples. The distribution of the vanadyl porphyrins is comparable to those reported for marine oils at varying levels of maturity.  Immature samples contained porphyrins that were predominantly deoxophylloerythroetio- (DPEP: DBE = 18) and di- deoxophylloerythroetio (di-DPEP: DBE = 19) porphyrins, while ETIO- (DBE = 17), rhodo- (DBE = 20, 21, and 22) and higher condensed (DBE ≥ 23) porphyrins increased with increasing maturity.  The vanadyl porphyrins included species with additional one to three oxygen atoms (N4VOx, x= 1 to 4) and one sulfur atom with one to two oxygen atoms (S1N4VOx, x=1 to 3).  The degree of additional oxygen and sulfur atoms is consistent with O/C and Sorg/C of associated kerogen. No iron or gallium porphyrins were detected, showing that they are not a ubiquitous feature of the Eagle Ford.\nWe hypothesize that the previously reported iron and gallium porphyrins (Zheng et al., 2018) were present because the specific sample that was analyzed in detail was from the early onset of the Cenomanian–Turonian oceanic anoxic event (OAE-2) in contrast to the samples investigated in this study that are primarily from the lower part of the Eagle Ford pre-dating OAE-2. Submarine volcanism, associated with eruption of large igneous provinces, occurred pre-OAE-2, injecting iron and other inorganic nutrients, giving rise to algal blooms and the acidification of the seawater. At the onset of OAE-2, boreal water masses flowed into the southern Western Interior Seaway, shifting the water column to more oxygenated conditions. Low pH-high Eh (oxic) conditions enhance the availability of iron and gallium such that these events abruptly changed the seawater chemistry, specifically enriching iron and gallium relative to vanadium and nickel. These pH-Eh conditions are similar to the depositional conditions associated with coals, which are known to contain iron and gallium porphyrins, suggesting similar conditions resulted in iron and gallium metalation of porphyrins in the marine setting of the Western Interior Seaway.","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2025.105087","usgsCitation":"Walters, C.C., Mennitto, A., and French, K.L., 2026, Metalloporphyrins in the Eagle Ford Shale: Organic Geochemistry, v. 214, 105087, 12 p., https://doi.org/10.1016/j.orggeochem.2025.105087.","productDescription":"105087, 12 p.","ipdsId":"IP-180954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Eagle Ford Shale","volume":"214","noUsgsAuthors":false,"publicationDate":"2026-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Walters, Clifford C.","contributorId":256653,"corporation":false,"usgs":false,"family":"Walters","given":"Clifford","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":960902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mennitto, Anthony","contributorId":371033,"corporation":false,"usgs":false,"family":"Mennitto","given":"Anthony","affiliations":[],"preferred":false,"id":960903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":960904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274063,"text":"fs20263063 - 2026 - Assessment of undiscovered conventional oil and gas resources of the Larsen Basin, Antarctica, 2025","interactions":[],"lastModifiedDate":"2026-03-02T19:44:46.445998","indexId":"fs20263063","displayToPublicDate":"2026-02-25T09:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3063","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Larsen Basin, Antarctica, 2025","title":"Assessment of undiscovered conventional oil and gas resources of the Larsen Basin, Antarctica, 2025","docAbstract":"<p class=\"MsoNormal\">Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 269 million barrels of oil and 14.3 trillion cubic feet of gas in the Larsen Basin, Antarctica.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263063","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Pitman, J.K., Le, P.A., Cicero, A.D., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered conventional oil and gas resources of the Larsen Basin, Antarctica, 2025:  U.S. Geological Survey Fact Sheet 2026–3063, 4 p., https://doi.org/10.3133/fs20263063.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-182057","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":500693,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119286.htm","linkFileType":{"id":5,"text":"html"}},{"id":500515,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263063/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3063"},{"id":500514,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3063/fs20263063.xml"},{"id":500356,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LT9DY","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Larsen Basin, Antarctica—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":500513,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3063/images"},{"id":500355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3063/fs20263063.pdf","text":"Report","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3063"},{"id":500354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3063/coverthb.jpg"}],"otherGeospatial":"Antarctica, Larsen Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80,\n              -60\n            ],\n            [\n              -80,\n              -73.5\n            ],\n            [\n              -45,\n              -73.5\n            ],\n            [\n              -45,\n              -60\n            ],\n            [\n              -80,\n              -60\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum System and Assessment Unit</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2026-02-25","noUsgsAuthors":false,"publicationDate":"2026-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":956335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956340,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956341,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":956342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274647,"text":"70274647 - 2026 - Spatially concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird","interactions":[],"lastModifiedDate":"2026-04-02T17:00:56.237927","indexId":"70274647","displayToPublicDate":"2026-02-25T09:47:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatially concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird","docAbstract":"<p>1. Rising timber demand is transforming forest structure globally, profoundly affecting biodiversity and climate resilience. Logging-driven fragmentation is potentially a major driver of biodiversity loss in production landscapes, yet its interactions with escalating climate stressors remain poorly understood.</p><p>2. We combine two decades of Landsat-derived habitat metrics with 29,000 surveys of the marbled murrelet (<i>Brachyramphus marmoratus</i>)—an iconic Pacific Northwest old-forest specialist seabird affecting management of &gt;10 million hectares. Controlling for habitat amount and detection probability, increasing landscape-scale forest edge amount sharply reduces murrelet occupancy, with impacts worsening under unfavourable climate-driven ocean conditions.</p><p>3. Comparing alternative landscape-scale timber harvest strategies, spatially concentrated logging consistently supports higher murrelet populations than fragmented approaches producing equivalent wood volumes, with benefits amplified under adverse ocean conditions. However, historical harvesting policies in the Pacific Northwest have instead driven severe habitat fragmentation, which we show is eroding the value of core set-aside forests on federal and conservation lands and ultimately rendering murrelets more vulnerable to climate change.</p><p>4. <i>Synthesis and applications</i>: We map key opportunities to boost populations by reducing edginess around remaining nesting habitat and investigate these opportunities' spatial distribution across land ownership and timber productivity gradients. Concentrating logging could be critical for mitigating fragmentation and climate threats for murrelets and potentially other forest-dependent species amid rising timber demand.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70317","usgsCitation":"Cerullo, G., Gannon, D., Bailey Guerrero, J.A., Conklin, E., Kohlberg, A., Nelson, K., Rivers, J.W., Valente, J., Yang, Z., and  Betts, M.G., 2026, Spatially concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird: Journal of Applied Ecology, v. 63, no. 2, e70317, 15 p., https://doi.org/10.1111/1365-2664.70317.","productDescription":"e70317, 15 p.","ipdsId":"IP-181232","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70317","text":"Publisher Index Page"},{"id":502015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.62346834330545,\n              49.423390089555795\n            ],\n            [\n              -125.05731376141374,\n              37.49095069699514\n            ],\n            [\n              -119.79362574221338,\n              38.47443712695113\n            ],\n            [\n              -119.85861425224797,\n              41.78784262090305\n            ],\n            [\n              -116.86760646031209,\n              41.957392910252224\n            ],\n            [\n              -117.25973955716492,\n              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A.","contributorId":369154,"corporation":false,"usgs":false,"family":"Bailey Guerrero","given":"Jennifer","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conklin, Emily","contributorId":369155,"corporation":false,"usgs":false,"family":"Conklin","given":"Emily","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohlberg, Anna Bloch","contributorId":369156,"corporation":false,"usgs":false,"family":"Kohlberg","given":"Anna Bloch","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Kim","contributorId":92810,"corporation":false,"usgs":false,"family":"Nelson","given":"Kim","affiliations":[],"preferred":false,"id":958549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rivers, James W.","contributorId":369162,"corporation":false,"usgs":false,"family":"Rivers","given":"James","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yang, Zhiqiang","contributorId":219468,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":958552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":" Betts, Matthew G.","contributorId":369163,"corporation":false,"usgs":false,"family":" Betts","given":"Matthew","middleInitial":"G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958553,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","interactions":[{"subject":{"id":70275654,"text":"70275654 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025","indexId":"70275654","publicationYear":"2026","noYear":false,"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at the Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at the Delaware Bay, USA, 2025"},"predicate":"SUPERSEDED_BY","object":{"id":70275649,"text":"70275649 - 2026 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","indexId":"70275649","publicationYear":"2026","noYear":false,"title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025"},"id":1}],"lastModifiedDate":"2026-05-07T13:58:25.534295","indexId":"70275649","displayToPublicDate":"2026-02-25T08:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"displayTitle":"Stopover population estimate and migration ecology of Red Knots <i>C. c. rufa</i> at Delaware Bay, USA, 2025","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025","docAbstract":"<p>Red Knots(<i>Calidris canutus rufa</i>) rely on Atlantic horseshoe crab (<i>Limulus polyphemus</i>) eggs in the Delaware Bay to refuel during northward migration. Intensive harvest of horseshoe crabs in the 1990s contributed to declines in Red Knot numbers. In 2013, the Atlantic States Marine Fisheries Commission adopted an Adaptive Resource Management (ARM) framework to balance sustainable horseshoe crab harvest with ecosystem integrity and Red Knot recovery, requiring annual stopover population estimates. We estimated the 2025 passage population of Red Knots at Delaware Bay using a Bayesian analysis of a Jolly–Seber mark–resight model which accounts for population turnover and imperfect detection. We also evaluated change in migration timing between 2011 and 2025 with model-derived estimates of arrival at the Delaware Bay each year. The 2025 passage population was 54,043 individuals (95% credible interval: 47,926–61,928), an increase of approximately 17% over 2024 and only the second year since 2011 to exceed 50,000 individuals. Despite the increase, overlapping credible intervals across years indicate a stable stopover population. Migration timing has remained consistent, with 50% of the population typically arriving by 18 May and no evidence of advancement since 2011. These findings provide meaningful input for the ARMframework, supporting sustainable harvest of horseshoe crabs while maintaining adequate foraging opportunities for Red Knots and other shorebirds.</p>","language":"English","publisher":"Delaware Department of Natural Resources and Environmental Control","usgsCitation":"Lyons, J., 2026, Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2025, 19 p.","productDescription":"19 p.","ipdsId":"IP-187379","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504071,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dnrec.delaware.gov/"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1568427,\n              38.7579989\n            ],\n            [\n              -74.7350003,\n              39.1195335\n            ],\n            [\n              -75.4810365,\n              39.497309\n            ],\n            [\n              -75.6333684,\n              39.4731924\n            ],\n            [\n              -75.441977,\n              39.0285642\n            ],\n            [\n              -75.1568427,\n              38.7579989\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961305,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274558,"text":"70274558 - 2026 - Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","interactions":[],"lastModifiedDate":"2026-06-16T15:07:24.579613","indexId":"70274558","displayToPublicDate":"2026-02-24T14:37:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Accurate estimation of earthquake source parameters—such as moment magnitudes, corner frequencies, and stress drops—is essential for improving seismic hazard assessments and understanding earthquake physics. In this study, moment magnitudes (</span><i>M<sub>W</sub></i><span>) are calculated for 31,581 earthquakes associated with wastewater injection in the Raton Basin (located along the border between northern New Mexico and southern Colorado) between 2016 and 2024 using radiative transfer theory to fit coda decay envelopes. Our results show that it is feasible to estimate moment magnitudes down to&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;~1 with coda envelopes from a small local monitoring network. Significant differences were found between&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;and local magnitudes (</span><i>M<sub>L</sub></i><span>) for small earthquakes (</span><i>M</i><span>&nbsp;&lt; 3.0). A linear relationship was optimized to convert&nbsp;</span><i>M<sub>L</sub></i><span>&nbsp;to&nbsp;</span><i>M<sub>W</sub></i><span>:&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;= 0.7</span><i>M<sub>L</sub></i><span>&nbsp;+ 0.96 and&nbsp;</span><i>M<sub>W</sub></i><span>&nbsp;= 0.73&nbsp;</span><i>M<sub>L</sub></i><span>&nbsp;+ 0.99 (for the events reported by the U.S. Geological Survey), which can be applied in future studies of Raton Basin seismicity. We find that&nbsp;</span><i>b</i><span>-values calculated employing different methods and using&nbsp;</span><i>M<sub>L</sub></i><span>&nbsp;are approximately 1.0, while those using&nbsp;</span><i>M<sub>W</sub></i><span>range from 1.2 to 1.4. A larger estimate of the&nbsp;</span><i>b</i><span>-value could influence interpretations of the statistical behavior of earthquakes associated with injection and consequently seismic hazard assessments based on a magnitude–frequency distribution. The potential differences between local versus moment magnitude-based earthquake statistics should be considered in other seismically active regions.</span></span></p>","language":"English","publisher":"OJS/PKP","doi":"10.26443/seismica.v5i1.1959","usgsCitation":"Peña Castro, A.F., Schmandt, B., Glasgow, M.E., Jamalreyhani, M., Wang, R., and Cochran, E.S., 2026, Small earthquake moment magnitude and implications for frequency–magnitude scaling of injection induced earthquakes of the Raton Basin: Seismica, v. 5, no. 1, 1959, 20 p., https://doi.org/10.26443/seismica.v5i1.1959.","productDescription":"1959, 20 p.","ipdsId":"IP-184368","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501971,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502058,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v5i1.1959","text":"Publisher Index Page"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Raton Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.24926766137641,\n              37.611350405105966\n            ],\n            [\n              -105.24926766137641,\n              36.42804218168048\n            ],\n            [\n              -103.59544227593408,\n              36.42804218168048\n            ],\n            [\n              -103.59544227593408,\n              37.611350405105966\n            ],\n            [\n              -105.24926766137641,\n              37.611350405105966\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Peña Castro, Andres Felipe","contributorId":369025,"corporation":false,"usgs":false,"family":"Peña Castro","given":"Andres","middleInitial":"Felipe","affiliations":[{"id":87700,"text":"University of New Mexico Dept of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":958303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":958304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jamalreyhani, Mohammadreza","contributorId":236673,"corporation":false,"usgs":false,"family":"Jamalreyhani","given":"Mohammadreza","affiliations":[{"id":47513,"text":"1: Institute of Geophysics, University of Tehran, Iran. 2: GFZ German research centre for geosciences, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":958306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ruijia","contributorId":357742,"corporation":false,"usgs":false,"family":"Wang","given":"Ruijia","affiliations":[{"id":85546,"text":"Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China","active":true,"usgs":false}],"preferred":false,"id":958307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274567,"text":"70274567 - 2026 - Reproduction partially compensates for human-caused mortality in a cooperative breeder","interactions":[],"lastModifiedDate":"2026-04-01T17:20:24.198263","indexId":"70274567","displayToPublicDate":"2026-02-24T10:14:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction partially compensates for human-caused mortality in a cooperative breeder","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Reproductive output can vary widely among mammalian species. There are many drivers that affect reproductive output including evolutionary, environmental, population, social, and individual traits. Although several factors, including human-caused mortality, can affect reproductive output, we generally have a poor understanding of how such factors interact to affect reproduction, particularly in cooperative breeders. Gray wolves (</span><i>Canis lupus</i><span>) in Idaho, USA, are exposed to annual hunting and trapping. Thus, they are an ideal species to answer questions about how turnover within groups affects reproduction in cooperative breeders. I hypothesized that the reproductive output of wolves would be affected by individual, social, and environmental factors. Contrary to my prediction, mid-summer litter size was positively associated with wolf harvest density, suggesting a compensatory response to harvest in cooperatively breeding gray wolves. Such compensation is only partial, however, and does not fully account for all the individuals lost from harvest. At the very highest harvest densities observed, mean litter size increased nearly 28%. In contrast, mid-summer litter size was negatively associated with multiple breeding in groups, suggesting resource limitation and competition within groups. I show that characteristics associated with harvest and breeding strategies predict variations in litter size in a cooperative breeder.</span></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70555","usgsCitation":"Ausband, D.E., 2026, Reproduction partially compensates for human-caused mortality in a cooperative breeder: Ecosphere, v. 17, no. 2, e70555, 9 p., https://doi.org/10.1002/ecs2.70555.","productDescription":"e70555, 9 p.","ipdsId":"IP-170591","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70555","text":"Publisher Index Page"},{"id":501955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.08175980071034,\n              48.977227421240826\n            ],\n            [\n              -117.12527879331986,\n              46.369424070044275\n            ],\n            [\n              -116.51198640229667,\n              45.65976473215335\n            ],\n            [\n              -117.25772134712818,\n              44.642676640703385\n            ],\n            [\n              -117.08175980071034,\n              41.99782369604466\n            ],\n            [\n              -111.02219152374933,\n              41.99782369604466\n            ],\n            [\n              -111.03949189951564,\n              44.40883940189387\n            ],\n            [\n              -112.71087839514591,\n              44.58985281347028\n            ],\n            [\n              -113.75190192928613,\n              45.405327827770506\n            ],\n            [\n              -114.55579750442473,\n              45.72018042001826\n            ],\n            [\n              -114.3304705700495,\n              46.70099041509735\n            ],\n            [\n              -114.95191346452555,\n              47.01751252427742\n            ],\n            [\n              -115.46534803122942,\n              47.64914592710252\n            ],\n            [\n              -115.82328991591629,\n              47.85069098091418\n            ],\n            [\n              -115.87939209365824,\n              49.055195178320474\n            ],\n            [\n              -117.08175980071034,\n              48.977227421240826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958324,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274314,"text":"70274314 - 2026 - Magnetic storms and geoelectric hazards","interactions":[],"lastModifiedDate":"2026-06-02T16:10:35.816038","indexId":"70274314","displayToPublicDate":"2026-02-24T10:09:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic storms and geoelectric hazards","docAbstract":"<div id=\"abstract_content\" class=\"active tab-pane abstract tabbedsection\"><div class=\"articleabstract\"><div dir=\"auto\"><div class=\"description\"><p>Magnetic storms induce geoelectric fields at Earth's surface that can interfere with grounded long-line systems. The September 1859 storm disrupted global telegraph operations, the March 1989 storm caused a blackout in Canada and interfered with electric-power-transmission systems in the United States, and other storms have had related impacts. The geographic and temporal dependence of geoelectric fields are functions of both geomagnetic variation and local surface impedance, which differ considerably across different geological regions. These dependencies can be mapped across the contiguous United States by combining magnetotelluric impedance tensors with ground magnetometer time series. This review illustrates such mapping for the 1989 storm and shows that power-system interference was experienced where surface impedance is high, and when and where geoelectric fields were intense. Statistical analyses indicate that storms comparable to that of March 1989 occur roughly once every four solar cycles. Ongoing developments in numerical modeling and real-time monitoring are anticipated to enable prediction of geoelectric hazards.</p><ul><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Magnetic storms can induced electric fields in the solid Earth that interfere with electric-power-transmission systems.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Geoelectric hazards depend on the storm-time geomagnetic disturbance and the electrical conductivity structure of Earth.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>Historically, impacts on telecommunication and power-transmission systems in the United States have been concentrated in the East and Midwest.</li><li><span class=\"label\">▪&nbsp;<span>&nbsp;</span></span>The future occurrence of a magnetic superstorm could cause widespread disruption of electric-power-transmission systems.</li></ul><p><br data-mce-bogus=\"1\"></p></div></div></div></div><p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"></span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-032524-012356","usgsCitation":"Love, J.J., Bedrosian, P.A., Kelbert, A., Rigler, E.J., Lucas, G.M., and Schnepf, N.R., 2026, Magnetic storms and geoelectric hazards: Annual Review of Earth and Planetary Sciences, v. 54, p. 525-557, https://doi.org/10.1146/annurev-earth-032524-012356.","productDescription":"33 p.","startPage":"525","endPage":"557","ipdsId":"IP-180570","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":367869,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":85814,"text":"Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, 02138, USA","active":true,"usgs":false}],"preferred":false,"id":957847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucas, Greg M.","contributorId":367872,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schnepf, Neesha R.","contributorId":367873,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":957850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274111,"text":"70274111 - 2026 - How to accelerate advances in ecological forecasting","interactions":[],"lastModifiedDate":"2026-03-09T14:58:17.073655","indexId":"70274111","displayToPublicDate":"2026-02-24T09:53:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"How to accelerate advances in ecological forecasting","docAbstract":"Ecological forecasting offers critical insights for managing natural resources and safeguarding public well-being. Despite growing demand for these forecasts, progress is hindered by fragmented systems, redundant workflows, and limited interoperability. Drawing lessons from weather forecasting and recent successes like the NEON Ecological Forecasting Challenge, shared cyberinfrastructure is important for advancing ecological prediction. By adopting common standards, open-source tools, and scalable architectures, and fostering transdisciplinary collaboration, the ecological forecasting community can overcome technical and institutional barriers. Such investments could accelerate scientific understanding, improve forecast reliability, and empower decisionmakers to anticipate environmental change and respond effectively.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2026EO260066","usgsCitation":"Zwart, J.A., Thompson, C., Moustahfid, H., Burnett, J., and Dietze, M., 2026, How to accelerate advances in ecological forecasting: Eos, American Geophysical Union, HTML Document, https://doi.org/10.1029/2026EO260066.","productDescription":"HTML Document","ipdsId":"IP-177101","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":500558,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500559,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2026eo260066","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":956571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Cameron 0000-0003-3318-4064","orcid":"https://orcid.org/0000-0003-3318-4064","contributorId":367008,"corporation":false,"usgs":false,"family":"Thompson","given":"Cameron","affiliations":[{"id":61666,"text":"Northeastern Regional Association of Coastal Ocean Observing Systems","active":true,"usgs":false}],"preferred":false,"id":956572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moustahfid, Hassan","contributorId":146662,"corporation":false,"usgs":false,"family":"Moustahfid","given":"Hassan","email":"","affiliations":[],"preferred":false,"id":956573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnett, Jessica","contributorId":189224,"corporation":false,"usgs":false,"family":"Burnett","given":"Jessica","affiliations":[],"preferred":false,"id":956574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietze, Michael","contributorId":248349,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","affiliations":[],"preferred":false,"id":956575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274064,"text":"ofr20261060 - 2026 - Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","interactions":[],"lastModifiedDate":"2026-02-24T16:34:02.291295","indexId":"ofr20261060","displayToPublicDate":"2026-02-24T09:23:03","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1060","displayTitle":"Summary of Fish Communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","title":"Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021","docAbstract":"<p>Portions of Underwood Creek in Milwaukee County, Wisconsin were reconstructed beginning in 2010 to allow for improved fish habitat and better management of streamflow during storm events. Four reaches of Underwood Creek were sampled in April 2021 for fish abundance by species to evaluate the status of fish communities after reconstruction efforts were completed. A total of 25 fish species were collected during the April 2021 sampling events. Reach D, a recently restored reach, contained the most fish species (14) and individuals (391). White suckers (<i>Catostomus commersonii</i>) were present in three of four reaches, fulfilling one of the success metrics outlined in the Underwood Creek restoration plan. Another success metric, collection of young of year northern pike (<i>Esox lucius</i>), was not met in this sampling event. However, spawning steelhead (<i>Oncorhynchus mykiss</i>) were observed in several reaches, indicating that reconstruction allowed for suitable habitat and passage for some migratory fish.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261060","collaboration":"Prepared in cooperation with Milwaukee Metropolitan Sewerage District","usgsCitation":"Bell, A.H., LaFond-Hudson, S., Stefaniak, O.M., Romano, J.T., and Sullivan, D.J., 2026, Summary of fish communities in Underwood Creek, Milwaukee, Wisconsin, April 2021: U.S. Geological Survey Open-File Report 2026–1060, 17 p., https://doi.org/10.3133/ofr20261060.","productDescription":"Report: vi, 17 p.; Data Release; Dataset","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-163980","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500375,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500374,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13FXCII","text":"USGS data release","linkHelpText":"Fish community data for rivers and streams in the Milwaukee, Wisconsin, area"},{"id":500370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1060/ofr20261060.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1060"},{"id":500369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1060/coverthb.jpg"},{"id":500372,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1060/images/"},{"id":500373,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261060/full"},{"id":500371,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1060/ofr20261060.XML"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Underwood Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.133333,\n              43.1\n            ],\n            [\n              -88.133333,\n              43\n            ],\n            [\n              -88.033333,\n              43\n            ],\n            [\n              -88.033333,\n              43.1\n            ],\n            [\n              -88.133333,\n              43.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, WI 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-02-24","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science 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0000-0002-1885-2178","orcid":"https://orcid.org/0000-0002-1885-2178","contributorId":366936,"corporation":false,"usgs":true,"family":"Romano","given":"James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":366937,"corporation":false,"usgs":false,"family":"Sullivan","given":"Daniel","middleInitial":"J.","affiliations":[{"id":87509,"text":"Upper Midwest Water Science Center-Retired","active":true,"usgs":false}],"preferred":false,"id":956404,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274089,"text":"70274089 - 2026 - Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction","interactions":[],"lastModifiedDate":"2026-02-25T15:16:24.643491","indexId":"70274089","displayToPublicDate":"2026-02-24T09:08:47","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":23312,"text":"Final Report","active":true,"publicationSubtype":{"id":3}},"title":"Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Statewide California Earthquake Center","usgsCitation":"Harris, R.A., Barall, M., 2026, Final Report for SCEC Award #25347 - A dynamic rupture workshop to improve our understanding of fault friction: Final Report, 10 p.","productDescription":"10 p.","ipdsId":"IP-186264","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":500508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500507,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://central.scec.org/proposal/report/25347"}],"noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274091,"text":"70274091 - 2026 - A tool to monitor hydrologic conditions on tree islands in the Everglades","interactions":[],"lastModifiedDate":"2026-02-26T16:50:16.661474","indexId":"70274091","displayToPublicDate":"2026-02-24T08:13:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A tool to monitor hydrologic conditions on tree islands in the Everglades","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Tree islands are patchy upland forested habitats in Florida's Everglades that face degradation and disappearance due to altered hydrologic patterns. The U.S. Geological Survey coordinated with the Miccosukee Tribe of Indians of Florida and the Seminole Tribe of Florida to co-develop a decision-support tool based on tree-island hydrologic conditions. Everglades managers can use this tool to help with restoration planning and water operations decisions that affect tree-island conditions. After a series of organized workshops and meetings, a list of hydrologic metrics was selected as indicators of tree-island health, including hydroperiod, number of days since last dry, and maximum water depth at the head of the island. As a result, a web application tool, called ETree, has been developed and is publicly available online. This web application provides data on daily metrics for the current Everglades water year and annual summaries for past years, beginning in 2000.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2026.114640","usgsCitation":"Haider, S.M., van der Heiden, C., Bozas, M., and Romañach, S.S., 2026, A tool to monitor hydrologic conditions on tree islands in the Everglades: Ecological Indicators, v. 183, 114640, 7 p., https://doi.org/10.1016/j.ecolind.2026.114640.","productDescription":"114640, 7 p.","ipdsId":"IP-175495","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":500612,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2026.114640","text":"Publisher Index Page"},{"id":500509,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.08373270516965,\n              26.65815841176284\n            ],\n            [\n              -82.08373270516965,\n              25.02905745196128\n            ],\n            [\n              -80.69833784238166,\n              25.02905745196128\n            ],\n            [\n              -80.69833784238166,\n              26.65815841176284\n            ],\n            [\n              -82.08373270516965,\n              26.65815841176284\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":956505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Heiden, Craig","contributorId":366978,"corporation":false,"usgs":false,"family":"van der Heiden","given":"Craig","affiliations":[{"id":87517,"text":"Seminole Tribe of Florida","active":true,"usgs":false}],"preferred":false,"id":956506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozas, Marcel","contributorId":366979,"corporation":false,"usgs":false,"family":"Bozas","given":"Marcel","affiliations":[{"id":87518,"text":"Miccosukee Tribe of Indians of Florida","active":true,"usgs":false}],"preferred":false,"id":956507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":956508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275235,"text":"70275235 - 2026 - Snow simulations predict future changes in rain-on-snow events across the upper Gallatin River watershed, a Greater Yellowstone Ecosystem headwater system","interactions":[],"lastModifiedDate":"2026-04-23T15:02:12.132201","indexId":"70275235","displayToPublicDate":"2026-02-24T07:55:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Snow simulations predict future changes in rain-on-snow events across the upper Gallatin River watershed, a Greater Yellowstone Ecosystem headwater system","docAbstract":"<p>Study region: The upper Gallatin River watershed, an alpine headwater system in the Greater Yellowstone Ecosystem, in Wyoming and Montana. </p><p>Study focus: As global and regional air temperatures rise, mountain headwaters across the Greater Yellowstone Ecosystem (GYE) are projected to see more precipitation falling as rain. While the hydrologic effects of this snow-to-rain transition depends on a variety of factors, it can lead to an increased occurrence of rain-on-snow (RoS) events. To investigate these changes, we used high-resolution (30 m) SnowModel simulations of the upper Gallatin River watershed. Simulations were run for 2001-2013 using two scenarios: (1) historical meteorology as control and (2) pseudo global warming (PGW) where control air temperature and precipitation conditions were perturbed to represent mean end-of-century conditions under a high-emissions scenario. </p><p>New hydrological insights for the region: SnowModel outputs show that changes in PGW precipitation and snow accumulation varied with elevation. Warmer air temperatures at low elevations (&lt; 2,500 m) led to less snow accumulation and less precipitation falling as snow. Colder baseline air temperatures for elevations above 2,500 meters (m) resulted in minor reductions in winter snowfall fraction. For PGW simulations, spring (April-June) months were rainier, and elevations above 2,500 m experienced more RoS events. Snowpacks between 2,500-3,100 m generated more snowmelt during RoS events, which was reflected in the watershed average. More high-intensity melt events can affect aquatic habitat, water quality, and the accuracy of streamflow forecasts across the region.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2026.103253","usgsCitation":"Newcomb, S.K., Barnhart, T., Heldmyer, A.J., and Storb, M.B., 2026, Snow simulations predict future changes in rain-on-snow events across the upper Gallatin River watershed, a Greater Yellowstone Ecosystem headwater system: Journal of Hydrology: Regional Studies, no. 64, 103253, 15 p., https://doi.org/10.1016/j.ejrh.2026.103253.","productDescription":"103253, 15 p.","ipdsId":"IP-175750","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":503450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2026.103253","text":"Publisher Index Page"},{"id":503345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Gallatin River watershed, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.1040556758394,\n              45.775196944106\n            ],\n            [\n              -112.01972949762403,\n              44.55598521200966\n            ],\n            [\n              -111.37153075418532,\n              44.6564938423231\n            ],\n            [\n              -110.83513931044746,\n              44.25694322488387\n            ],\n            [\n              -109.64451930770404,\n              44.03050575033751\n            ],\n            [\n              -109.86085331075995,\n              44.82919751982631\n            ],\n            [\n              -110.74738180936852,\n              45.88093570749882\n            ],\n            [\n              -112.1040556758394,\n              45.775196944106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"64","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newcomb, Sarah Katherine 0000-0002-7832-5089","orcid":"https://orcid.org/0000-0002-7832-5089","contributorId":370359,"corporation":false,"usgs":true,"family":"Newcomb","given":"Sarah","middleInitial":"Katherine","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnhart, Theodore B. 0000-0002-9682-3217","orcid":"https://orcid.org/0000-0002-9682-3217","contributorId":202558,"corporation":false,"usgs":true,"family":"Barnhart","given":"Theodore B.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heldmyer, Aaron Joseph 0000-0001-8608-4927","orcid":"https://orcid.org/0000-0001-8608-4927","contributorId":302944,"corporation":false,"usgs":true,"family":"Heldmyer","given":"Aaron","email":"","middleInitial":"Joseph","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storb, Meryl Biesiot 0000-0002-4346-5022","orcid":"https://orcid.org/0000-0002-4346-5022","contributorId":305621,"corporation":false,"usgs":true,"family":"Storb","given":"Meryl","email":"","middleInitial":"Biesiot","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274096,"text":"70274096 - 2026 - Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures","interactions":[],"lastModifiedDate":"2026-06-17T13:19:30.985154","indexId":"70274096","displayToPublicDate":"2026-02-24T07:50:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins. Algal community composition can be monitored and analyzed by acquiring hyperspectral images that provide information on various photosynthetic and accessory pigments. Validated, traceable measurements are needed to compare data collected by different hyperspectral instruments. In this proof-of-concept study, we detail the development and validation of a custom hyperspectral microscopy imaging system and assess whether this technology can differentiate between cyanobacteria genera based on differences in their reflectance characteristics. As not all cyanobacteria produce toxins, the ability to distinguish among taxa could be used to identify potential toxin-producers and guide field sampling and further research. Spectral characterization of these taxa contributes to remote sensing efforts to characterize and identify cyanobacterial genera at larger spatial scales.</span></span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.70038","usgsCitation":"Hall, N.C., Mumford, A.C., Goldfain, A.M., Allen, D.W., Slonecker, E., Shtabnoy, A., Legleiter, C.J., and Spaulding, S.A., 2026, Demonstration, validation, and application of hyperspectral microscopy for the collection of cyanobacterial spectral signatures: Limnology and Oceanography Methods, v. 24, no. 6, e70038, 12 p., https://doi.org/10.1002/lom3.70038.","productDescription":"e70038, 12 p.","ipdsId":"IP-133686","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":500505,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501074,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.70038","text":"Publisher Index Page"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.10179264385346,\n              42.48654098074368\n            ],\n            [\n              -122.06572558931417,\n              42.407712468749764\n            ],\n            [\n              -121.92441072839725,\n              42.280845617093135\n            ],\n            [\n              -121.79136441818135,\n              42.21342761218082\n            ],\n            [\n              -121.79230665775252,\n              42.39519175138423\n            ],\n            [\n              -121.93695412023108,\n              42.506365647351515\n            ],\n            [\n              -122.03369521935683,\n              42.50459749688622\n            ],\n            [\n              -122.10179264385346,\n              42.48654098074368\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Natalie C. 0000-0002-6448-162X nhall@usgs.gov","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":223255,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie","email":"nhall@usgs.gov","middleInitial":"C.","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":956516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":956517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldfain, Aaron M. 0000-0002-4119-3983","orcid":"https://orcid.org/0000-0002-4119-3983","contributorId":366980,"corporation":false,"usgs":false,"family":"Goldfain","given":"Aaron","middleInitial":"M.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":956518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, David W. 0000-0001-8299-7956","orcid":"https://orcid.org/0000-0001-8299-7956","contributorId":366981,"corporation":false,"usgs":false,"family":"Allen","given":"David","middleInitial":"W.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":956519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":335606,"corporation":false,"usgs":false,"family":"Slonecker","given":"E. Terrence","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":956520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shtabnoy, Alisa 0009-0000-2937-9104","orcid":"https://orcid.org/0009-0000-2937-9104","contributorId":335602,"corporation":false,"usgs":true,"family":"Shtabnoy","given":"Alisa","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":956522,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":956523,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274573,"text":"70274573 - 2026 - Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia","interactions":[],"lastModifiedDate":"2026-04-01T22:30:59.589279","indexId":"70274573","displayToPublicDate":"2026-02-23T15:25:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>In the summer, juvenile Atlantic sturgeon (</span><i>Acipenser oxyrinchus oxyrinchus</i><span>) are vulnerable to extreme water quality conditions (i.e., temperature, dissolved oxygen [DO], and salinity) in the estuaries they inhabit. The effects of climate change on Atlantic sturgeon are largely unknown, but it may exacerbate these water quality issues. We used a 20-year dataset from the Altamaha River estuary, Georgia, USA to fit negative binomial mixed-effects models describing the relationship between water quality and catch per net hour of juvenile Atlantic sturgeon. Water temperature and DO were significant positive predictors of catch; salinity and sampling year were significant negative predictors. The interaction between temperature and DO was also significant. Water temperature, salinity, and year were significant in explaining variability in catch. Our modeling results suggest that response to water quality depends on fish age. Next, we used global climate projections to construct future climate scenarios incorporating warming water and increased salinity. By coupling these predictions with catch models, we forecast juvenile Atlantic sturgeon catch as a proxy for distribution. Water temperature increases of 1–5&nbsp;°C led to predicted catch increases of 5–24%, although this result may be influenced by aggregation behavior or sampling limitations at high temperatures. Salinity increases of 1–2 ppt led to 9–17% decreases in catch, suggesting that saltwater intrusion may limit future Atlantic sturgeon estuarine habitat availability. Our study combines a long-term dataset with a robust statistical modeling approach to offer some of the first insights into future climate change effects on juvenile Atlantic sturgeon’s southern nursery habitats.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-026-01818-8","usgsCitation":"Kleinhans, M., Nibbelink, N., Irwin, B., Wenger, S., and Fox, A.G., 2026, Climate change and water quality influence on juvenile Atlantic sturgeon aggregation in the Altamaha River, Georgia: Environmental Biology of Fishes, v. 109, 49, 20 p., https://doi.org/10.1007/s10641-026-01818-8.","productDescription":"49, 20 p.","ipdsId":"IP-176138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-026-01818-8","text":"Publisher Index Page"},{"id":501976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Altamaha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.92561023859767,\n              31.34995779368927\n            ],\n            [\n              -81.92561023859767,\n              30.940577592818528\n            ],\n            [\n              -81.32085660186459,\n              30.940577592818528\n            ],\n            [\n              -81.32085660186459,\n              31.34995779368927\n            ],\n            [\n              -81.92561023859767,\n              31.34995779368927\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"109","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleinhans, Maxwell","contributorId":369036,"corporation":false,"usgs":false,"family":"Kleinhans","given":"Maxwell","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nibbelink, Nathan","contributorId":369037,"corporation":false,"usgs":false,"family":"Nibbelink","given":"Nathan","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth","contributorId":261384,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":958341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Adam G.","contributorId":179021,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","middleInitial":"G.","affiliations":[],"preferred":false,"id":958342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273967,"text":"tm8D3 - 2026 - Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments","interactions":[],"lastModifiedDate":"2026-04-10T15:02:24.25022","indexId":"tm8D3","displayToPublicDate":"2026-02-23T13:24:26","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"8-D3","displayTitle":"Design and Function of the Autonomous Benthic Imaging and Surveying System (ABISS) for Remote Sensing of Lake and Seabed Environments","title":"Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments","docAbstract":"<p>Lake and seabed environments are home to fisheries and other biota that are important to ecosystems and economies, yet these environments and the species that use them are difficult to accurately assess and monitor. Traditional benthic survey techniques, like bottom trawling used by the U.S. Geological Survey, are limited by substrate constraints, poor spatial resolution and precision, and operational depth limits, hindering accurate assessment of benthic species and habitats. In response to these limitations, the U.S. Geological Survey developed the Autonomous Benthic Imaging and Surveying System, a camera system integrated into underwater vehicles, to capture high-resolution images of the lakebed. The system uses color and stereo cameras to collect imagery, which can be analyzed using computational methods to detect organisms and (or) characterize habitat features, such as geologic substrate types. The system has been integrated into autonomous underwater vehicles and into an underwater housing used by self-contained underwater breathing apparatus (SCUBA) divers. Although the engineering of the system was motivated by the need for data collection in the Great Lakes, it has potential to collect high quality data in any aqueous setting with sufficient water clarity and safe operating conditions. The Autonomous Benthic Imaging and Surveying System can operate across diverse depths and light conditions to map and quantify ecological patterns that were difficult or impossible to assess using traditional methods. The Autonomous Benthic Imaging and Surveying System offers the potential for accurate and precise monitoring and assessment of native benthic biota, invasive species, and habitat, potentially providing natural resource managers with improved information to support decision making about benthic resource management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm8D3","collaboration":"Prepared in cooperation with the Michigan Tech Research Institute and Michigan Technological University","usgsCitation":"Tilley, A.T., Esselman, P.C., Roussi, C., Hart, B., Lyons, A., Arnold, A.J., Childress, J., and Weller, C., 2026, Design and function of the Autonomous Benthic Imaging and Surveying System (ABISS) for remote sensing of lake and seabed environments: U.S. Geological Survey Techniques and Methods, book 8, chap. D3, 18 p., https://doi.org/10.3133/tm8D3.","productDescription":"vii, 18 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166195","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":500704,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119287.htm","linkFileType":{"id":5,"text":"html"}},{"id":500236,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm8D3/full"},{"id":500232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/08/d03/coverthb.jpg"},{"id":500233,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/08/d03/tm8d3.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 8-D3"},{"id":500234,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/08/d03/tm8d3.XML"},{"id":500235,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/08/d03/images/"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.01063892280078,\n              47.27877366089439\n            ],\n            [\n              -91.35543413680567,\n              46.717941147145126\n            ],\n            [\n              -90.2777136719085,\n              46.50310168839282\n            ],\n            [\n              -88.23826407235119,\n              46.58296388096409\n            ],\n            [\n              -87.78394109420519,\n              41.748398831213464\n            ],\n            [\n              -86.71934459174432,\n              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Summary</li><li>Introduction</li><li>The Autonomous Benthic Imaging and Surveying System (ABISS)</li><li>Data Processing</li><li>Applications</li><li>Future Directions</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-02-23","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Tilley, Alden T. 0000-0002-1056-3478","orcid":"https://orcid.org/0000-0002-1056-3478","contributorId":351036,"corporation":false,"usgs":true,"family":"Tilley","given":"Alden","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussi, Christopher","contributorId":346495,"corporation":false,"usgs":false,"family":"Roussi","given":"Christopher","email":"","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Ben","contributorId":366465,"corporation":false,"usgs":false,"family":"Hart","given":"Ben","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, Aaron","contributorId":366466,"corporation":false,"usgs":false,"family":"Lyons","given":"Aaron","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":955943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnold, Anthony J. 0000-0001-5711-3039","orcid":"https://orcid.org/0000-0001-5711-3039","contributorId":344122,"corporation":false,"usgs":false,"family":"Arnold","given":"Anthony J.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":955944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Childress, Jeremy 0000-0002-7595-9828","orcid":"https://orcid.org/0000-0002-7595-9828","contributorId":366467,"corporation":false,"usgs":false,"family":"Childress","given":"Jeremy","affiliations":[{"id":87488,"text":"The Sexton Corporation","active":true,"usgs":false}],"preferred":false,"id":955945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weller, Charley","contributorId":366468,"corporation":false,"usgs":false,"family":"Weller","given":"Charley","affiliations":[{"id":87488,"text":"The Sexton Corporation","active":true,"usgs":false}],"preferred":false,"id":955946,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274118,"text":"70274118 - 2026 - Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","interactions":[],"lastModifiedDate":"2026-02-26T16:36:43.114128","indexId":"70274118","displayToPublicDate":"2026-02-23T09:23:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Coordinated, regional strategies to guide effective management and conservation of forests can be used to balance conservation with management for other objectives such as timber, scenic viewsheds, and fire. A key part of these regional strategies is incorporating knowledge of how management actions may affect certain species, especially those that are sensitive or are of concern. However, knowledge of how management actions may affect species is inferred from studies conducted across small areas where the species’ behavior and forest conditions are easily assessed. Here, we examine how occupancy of four bat species responds to forest management across the eastern United States at regional scales. We used range-wide capture and stationary acoustic surveys from the North American Bat Monitoring Program from 2010 to 2020 to estimate yearly summer occupancy for four bat species of conservation concern identified in the U.S. Department of Agriculture Forest Service (USFS) Southern and Eastern Regions Bat Conservation Strategy: little brown bat (</span><i>Myotis lucifugus</i><span>), northern long-eared bat (</span><i>Myotis septentrionalis</i><span>), Indiana bat (</span><i>Myotis sodalis</i><span>), and tricolored bat (</span><i>Perimyotis subflavus</i><span>), and assessed the degree to which occupancy of each species changed after different vegetation management actions were implemented on USFS lands. We identified 78 different management actions that were hypothesized to influence summer bat occupancy at two spatial scales (5-km and 10-km) across the eastern United States from the Forest Service Activity Tracking System and grouped these management actions into four vegetation management types: clear-cutting, fire, thinning, and ground vegetation management. To evaluate potential effects of these vegetation management types on bat occupancy, we created a yearly management metric representing the average number of years that had passed since any one of the included management actions in each management type had been implemented in each 5-km or 10-km grid cell, weighted by the proportion of the grid cell covered by the management treatment history. We chose these metrics to ask if more management or management done recently had a larger effect on bat occupancy than less management or management done long-ago. We then fit Bayesian hierarchical multi-scale occupancy models for each species to assess how occupancy changed in response to the amount and time since implementation of each vegetation management type. Using the estimated relationships between the yearly metrics of management and bat occupancy, we created predictions for how bat occupancy responded at 1- and 5- years after implementation. We found substantial differences in the response of the four species to the four vegetation management types. Ground vegetation management provided the greatest increase in expected occupancy at 1 year after implementation for little brown bat, long-eared bat, and tricolored bat, while fire provided the greatest increase in expected occupancy for Indiana bat. Thinning provided increases for all species at 1 year after implementation, but even greater increases at 5 years after implementation. Clear-cutting, on the other hand, tended to result in decreased occupancy at both 1- and 5-years after implementation for each species and had the greatest effect on tricolored bat at 1 year after implementation. Clear evidence for how management types like these may be affecting bat populations can be used at regional scales to help private and public forest managers achieve their strategic goals.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2026.123639","usgsCitation":"Inman, R.D., Udell, B.J., Wray, A.K., Straw, B.R., Schuhmann, A.N., Davis, H.T., Sawyer, S.C., Reichert, B.E., 2026, Evaluating evidence of changing regional occupancy of four bat species in response to forest management practices: Forest Ecology and Management, v. 609, 123639, 18 p., https://doi.org/10.1016/j.foreco.2026.123639.","productDescription":"123639, 18 p.","ipdsId":"IP-175875","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2026.123639","text":"Publisher Index Page"},{"id":500544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.94507498311938,\n              49.11439306544264\n            ],\n            [\n              -102.031608454501,\n              37.16960936265687\n            ],\n            [\n              -101.12190162893889,\n              32.15341099985376\n            ],\n            [\n              -97.9869315035526,\n              26.046215449460533\n            ],\n            [\n              -95.64169482022479,\n              27.80882063370069\n            ],\n            [\n              -86.97849434833398,\n              29.632014384865244\n            ],\n            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James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wray, Amy Kristine 0000-0001-9685-8308","orcid":"https://orcid.org/0000-0001-9685-8308","contributorId":334941,"corporation":false,"usgs":true,"family":"Wray","given":"Amy","email":"","middleInitial":"Kristine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sawyer, Sarah C.","contributorId":367020,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":956588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274083,"text":"70274083 - 2026 - Site response models based on geometric parameters for southern California sedimentary basins","interactions":[],"lastModifiedDate":"2026-03-09T14:56:34.655448","indexId":"70274083","displayToPublicDate":"2026-02-23T08:23:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Site response models based on geometric parameters for southern California sedimentary basins","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Site response in sedimentary basins is influenced by complex three-dimensional (3D) features, including trapping of seismic waves, focusing of seismic energy and basin resonance. Current ground motion models (GMMs) incorporate basin effects using one-dimensional parameters like&nbsp;</span><i>V</i><sub>S30</sub><span>&nbsp;and shear wave velocity isosurface depths, which are limited in capturing lateral and 3D effects. To address these limitations, we develop seismic site response models based on novel parameters that represent multi-dimensional properties of the Los Angeles Basin (LAB) geometry and shear wave velocity. We define a basin shape for the LAB using depth to subsurface geologic interfaces associated with the oldest sedimentary deposits (depth to a particular shear wave velocity horizon, i.e., 1.5 km/s -&nbsp;</span><i>z</i><sub>1.5</sub><span>) and the depth to the crystalline basement (</span><i>z</i><sub>cb</sub><span>) which are determined using geologic cross sections and community seismic velocity model profiles. We explore a suite of geometric descriptors computed for the LAB and southern California, from which three parameters with the greatest predictive potential are selected and evaluated using empirical ground motion residual analyses in combination with the Boore et al. GMM. The results demonstrate that the zonal heterogeneity index (</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/3e99f04a-16f9-49db-b9ce-913ee0ba5d27/esp470027-math-0001.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/3e99f04a-16f9-49db-b9ce-913ee0ba5d27/esp470027-math-0001.png\"><span>), standard deviation of the absolute difference between&nbsp;</span><i>z</i><sub>1.5</sub><span>&nbsp;and&nbsp;</span><i>z</i><sub>cb</sub><span>&nbsp;(</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/73744d8e-edd1-459c-ace1-6c9601bd79a8/esp470027-math-0002.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/73744d8e-edd1-459c-ace1-6c9601bd79a8/esp470027-math-0002.png\"><span>) and standard deviation of&nbsp;</span><i>z</i><sub>cb</sub><span>&nbsp;(</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/a059508a-a126-4be9-a5e4-e9ff621fcb16/esp470027-math-0003.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/a059508a-a126-4be9-a5e4-e9ff621fcb16/esp470027-math-0003.png\"><span>) each provide a reduction in site-to-site variability (</span><i>ϕ</i><sub>S2S</sub><span>) of empirical GMMs. The reduction in&nbsp;</span><i>ϕ</i><sub>S2S</sub><span>&nbsp;is period-dependent, with average decreases of 3%, 26% and 6% for&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/1fe160d5-4847-4101-a9ed-2ea7cb834809/esp470027-math-0004.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/1fe160d5-4847-4101-a9ed-2ea7cb834809/esp470027-math-0004.png\"><span>,&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/c3ab7828-3ba7-4eb7-8aca-f489a5331f05/esp470027-math-0005.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/c3ab7828-3ba7-4eb7-8aca-f489a5331f05/esp470027-math-0005.png\"><span>, and&nbsp;</span><img class=\"fallback__image\" src=\"https://onlinelibrary.wiley.com/cms/asset/4f21338b-caf4-4e33-8e03-b5349cfe170a/esp470027-math-0006.png\" alt=\"mathematical equation\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/4f21338b-caf4-4e33-8e03-b5349cfe170a/esp470027-math-0006.png\"><span>, respectively. Although these reductions are modest from an engineering application perspective, they are statistically significant, underscoring the inherent difficulty in fully characterising complex basin effects. Collectively, these findings indicate that the inclusion of basin-specific geometric parameters yields measurable, albeit incremental, improvements in site response prediction and establishes a framework for the progressive refinement of seismic hazard characterisation within sedimentary basins.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70027","usgsCitation":"Shams, R., Nweke, C.C., and Parker, G.A., 2026, Site response models based on geometric parameters for southern California sedimentary basins: Earthquake Spectra, v. 42, no. 1, e70027, 27 p., https://doi.org/10.1002/esp4.70027.","productDescription":"e70027, 27 p.","ipdsId":"IP-171681","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501101,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70027","text":"Publisher Index Page"},{"id":500479,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.53506621436776,\n              35.21356617300536\n            ],\n            [\n              -120.79600361096189,\n              34.90448000088518\n            ],\n            [\n              -120.75474337287181,\n              34.34368243947756\n            ],\n            [\n              -118.73627556859424,\n              33.915392671441865\n            ],\n            [\n              -118.45980648687038,\n              34.843303775362216\n            ],\n            [\n              -120.53506621436776,\n              35.21356617300536\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Shams, Rashid","contributorId":366973,"corporation":false,"usgs":false,"family":"Shams","given":"Rashid","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":366974,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka","middleInitial":"C.","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":956492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274153,"text":"70274153 - 2026 - Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","interactions":[],"lastModifiedDate":"2026-03-03T14:23:51.443064","indexId":"70274153","displayToPublicDate":"2026-02-23T07:44:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Existing reservoir management frameworks traditionally consider historical (predam) flow conditions to deliver environmental flows. Such frameworks may not be feasible because current demand and/or climate could be different from predam conditions. Hence, we developed a multireservoir framework that explicitly considers both human water demands and environmental flow requirements to minimize deviations under current hydroclimatic conditions and demand patterns. The multireservoir framework, Generalized Reservoir Analyses using Probabilistic Streamflow (GRAPS), was modified and implemented to solve the problem of minimizing the flow deviations using feasible sequential quadratic programming for three reservoirs in the Chattahoochee River Basin, Southeastern United States, which is known for its imperiled native biodiversity and productive estuarine ecosystem. Our results show that downstream reservoirs in the cascade system are less influenced by upstream reservoirs’ regulation because the downstream reservoirs receive a significant amount of natural flows. By comparing the average wavelet power spectrum at different periodicities between natural flows and downstream releases, we found that the current release policy and modified releases resulted in highly altered flows under shorter periodicities (e.g.,&nbsp;less than 2&nbsp;months) but synchronized flow variance between natural flow and downstream releases at longer periodicities (e.g.,&nbsp;greater than 3&nbsp;years). This framework of linking the multireservoir allocation model through the time–frequency analysis using wavelet power spectrum could not only advance sustainable water management policies to meet water for human and environmental needs but can also add additional value in meeting the downstream environmental demand at desired periodicities.</span></span></p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/JWRMD5.WRENG-7006","usgsCitation":"Chalise, D.R., Ford, L., Mahinthakumar, K., Ranjithan, R., Eaton, M.J., and Sankarasubramanian, A., 2026, Multireservoir allocation framework considering societal and ecological needs in a time-frequency domain: Journal of Water Resources Planning and Management, v. 152, no. 5, 04026007, 17 p., https://doi.org/10.1061/JWRMD5.WRENG-7006.","productDescription":"04026007, 17 p.","ipdsId":"IP-167436","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Chattahoochee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.6901375420256,\n              34.842920854432904\n            ],\n            [\n              -85.6563734170193,\n              32.17035099082393\n            ],\n            [\n              -85.36681091699252,\n              29.6298014571195\n            ],\n            [\n              -84.66969319706918,\n              29.670744490356427\n            ],\n            [\n              -84.5477651592313,\n              30.701515393857616\n            ],\n            [\n              -83.81773860252564,\n              31.585948009453666\n            ],\n            [\n              -83.63233065888338,\n              34.78148617202561\n            ],\n            [\n              -84.6901375420256,\n              34.842920854432904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"152","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chalise, Dol Raj","contributorId":367072,"corporation":false,"usgs":false,"family":"Chalise","given":"Dol","middleInitial":"Raj","affiliations":[{"id":87532,"text":"Mesa Associates Inc; NC State Univ.","active":true,"usgs":false}],"preferred":false,"id":956699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Lucas","contributorId":367073,"corporation":false,"usgs":false,"family":"Ford","given":"Lucas","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahinthakumar, Kumar","contributorId":367074,"corporation":false,"usgs":false,"family":"Mahinthakumar","given":"Kumar","affiliations":[{"id":87533,"text":"NC State Univ","active":true,"usgs":false}],"preferred":false,"id":956701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranjithan, Ranji","contributorId":367075,"corporation":false,"usgs":false,"family":"Ranjithan","given":"Ranji","affiliations":[{"id":87534,"text":"NC State Unive","active":true,"usgs":false}],"preferred":false,"id":956702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":956704,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274079,"text":"70274079 - 2026 - Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","interactions":[],"lastModifiedDate":"2026-02-24T14:51:38.936114","indexId":"70274079","displayToPublicDate":"2026-02-23T07:42:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software","docAbstract":"<p>Models of the spatiotemporal evolution of earthquake slip, termed finite-fault models,&nbsp;are a critical component of rapid earthquake and tsunami response, earthquake forecasting, seismic ground-motion estimates, and studies of earthquake kinematics. Here, we detail a newly released finite-fault modeling software, Wavelet Inversion for SliP&nbsp;(WISP), in use at the U.S. Geological Survey’s National Earthquake Information Center&nbsp;(NEIC) and available to the public. WISP version 1.1.0 allows inversion of teleseismic body&nbsp;and surface waves, as well as local strong-motion, static and dynamic Global Navigation&nbsp;Satellite System, and satellite imagery (e.g., Interferometric Synthetic Aperture Radar)&nbsp;observations on single or multiple planar fault segments. The software is used in&nbsp;NEIC rapid response of earthquakes <i>M</i><sub>w</sub> ≥ 7, generally resulting in a published model&nbsp;within the first few hours after the event origin time. The rupture location and dimensions are then used as inputs to downstream products to estimate earthquake shaking,&nbsp;predict loss, and model the likelihood of secondary hazards, namely landslides and liquefaction. WISP is also used in research studies to evaluate the characteristics of complex&nbsp;ruptures including multifault ruptures and earthquake doublets, among others. The WISP&nbsp;version 1.1.0 software release is composed of Python-wrapped FORTRAN code to accomplish the inversion procedure. A simple command line interface facilitates ease of use&nbsp;even for those with only a cursory knowledge of Python scripting. WISP version 1.1.0&nbsp;includes a Jupyter Notebook tutorial demonstrating use of the software for modeling&nbsp;the 2015 <i>M</i><sub>w</sub> 8.3 Illapel, Chile, earthquake. In parallel with the tutorial, we demonstrate&nbsp;the typical usage of the WISP software using the <i>M</i><sub>w</sub> 8.3 Illapel earthquake example here.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250055","usgsCitation":"Goldberg, D.E., Hunsinger, H., Koch, P., Haynie, K.L., Melgar, D., Riquelme, S., 2026, Wavelet Inversion for SliP (WISP): Open-source earthquake slip modeling software: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250055.","productDescription":"17 p.","ipdsId":"IP-183439","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500754,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14RVF65","text":"USGS data release","linkHelpText":"Wavelet Inversion for SliP (WISP)"},{"id":500598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250055","text":"Publisher Index Page"},{"id":500475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.2915060047295,\n              -27.438162221295535\n            ],\n            [\n              -73.2915060047295,\n              -36.968704795768254\n            ],\n            [\n              -70.94626168478015,\n              -36.968704795768254\n            ],\n            [\n              -70.94626168478015,\n              -27.438162221295535\n            ],\n            [\n              -73.2915060047295,\n              -27.438162221295535\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunsinger, Heather Elizabeth 0000-0001-7700-9087","orcid":"https://orcid.org/0000-0001-7700-9087","contributorId":352844,"corporation":false,"usgs":true,"family":"Hunsinger","given":"Heather Elizabeth","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":956481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Pablo","contributorId":294680,"corporation":false,"usgs":false,"family":"Koch","given":"Pablo","email":"","affiliations":[{"id":63624,"text":"National Seismological Center, University of Chile","active":true,"usgs":false}],"preferred":false,"id":956482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":956484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riquelme, Sebastian","contributorId":193028,"corporation":false,"usgs":false,"family":"Riquelme","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":956485,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274124,"text":"70274124 - 2026 - Aquatic reflectance derived from Sentinel-2 Multispectral Imager data for inland waters in the conterminous United States","interactions":[],"lastModifiedDate":"2026-02-26T17:13:13.630689","indexId":"70274124","displayToPublicDate":"2026-02-22T10:08:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic reflectance derived from Sentinel-2 Multispectral Imager data for inland waters in the conterminous United States","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Satellite-based earth observation is a robust tool for tracking change in ecosystems. While terrestrially focused applications of remote sensing have empowered wide adoption for research and management, remote sensing of inland aquatic ecosystems remains comparably nascent. This divergence, in part, stems from the lack of standardized, accessible, and near real-time remotely sensed surface reflectance, atmospherically corrected for aquatic environments. To date, surface reflectance products at national scales and with minimal latency are typically designed exclusively for terrestrial environments. Rectifying this situation can be accomplished by applying aquatic-focused atmospheric correction algorithms independent of those used for terrestrial ecosystems. As a first step to filling this data gap, we present the first national scale, dynamically updated, analysis-ready, aquatic reflectance dataset for inland water derived from Sentinel-2 for the conterminous United States.</span></span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.70112","usgsCitation":"Ducar, S.D., King, T.V., Meyer, M.F., Hundt, S.A., Ball, G.P., Hafen, K.C., Avouris, D., Wakefield, B., Stengel, V.G., and Vanhellemont, Q., 2026, Aquatic reflectance derived from Sentinel-2 Multispectral Imager data for inland waters in the conterminous United States: Limnology and Oceanography Letters, v. 11, no. 2, e70112, 17 p., https://doi.org/10.1002/lol2.70112.","productDescription":"e70112, 17 p.","ipdsId":"IP-160692","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":500625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ducar, Scott D. 0000-0003-0781-5598","orcid":"https://orcid.org/0000-0003-0781-5598","contributorId":297547,"corporation":false,"usgs":true,"family":"Ducar","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":956601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hundt, Stephen A. 0000-0002-6484-0637","orcid":"https://orcid.org/0000-0002-6484-0637","contributorId":204678,"corporation":false,"usgs":true,"family":"Hundt","given":"Stephen","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Grady P.","contributorId":367030,"corporation":false,"usgs":false,"family":"Ball","given":"Grady","middleInitial":"P.","affiliations":[],"preferred":false,"id":956603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hafen, Konrad C. 0000-0002-1451-362X","orcid":"https://orcid.org/0000-0002-1451-362X","contributorId":367031,"corporation":false,"usgs":false,"family":"Hafen","given":"Konrad","middleInitial":"C.","affiliations":[],"preferred":false,"id":956604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avouris, Dulcinea Marie 0000-0001-5797-3960","orcid":"https://orcid.org/0000-0001-5797-3960","contributorId":335170,"corporation":false,"usgs":true,"family":"Avouris","given":"Dulcinea Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wakefield, Brendan Flynn 0000-0002-2695-8116","orcid":"https://orcid.org/0000-0002-2695-8116","contributorId":299025,"corporation":false,"usgs":true,"family":"Wakefield","given":"Brendan Flynn","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vanhellemont, Quinten","contributorId":346479,"corporation":false,"usgs":false,"family":"Vanhellemont","given":"Quinten","affiliations":[{"id":82872,"text":"Royal Belgian Institue of Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":956608,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70274555,"text":"70274555 - 2026 - Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","interactions":[],"lastModifiedDate":"2026-04-01T21:01:29.164156","indexId":"70274555","displayToPublicDate":"2026-02-21T13:51:50","publicationYear":"2026","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":"Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Monitoring volcanoes involves a variety of data sources and methods to maintain complete continuity of coverage. Global navigation satellite system (GNSS) and interferometric synthetic aperture radar (InSAR) are commonly used complementary methods to assess the deformation state of a volcano as magma migrates beneath the surface. The amount of data these methods produce, however, is growing rapidly beyond human analysis capabilities and is becoming difficult to manage. Here, we create a novel multimodal deep learning framework to ingest InSAR and GNSS data simultaneously and classify the deformation state of the system. We apply this methodology to Mauna Loa, Hawai‘i given its wealth of InSAR and GNSS data as well as its propensity to deform on multiple timescales. Our model performs with high accuracy and is able to identify both slow and fast deformation from 2015 to 2023. The multimodal nature of our model also allows us to identify the presence of atmospheric noise in InSAR data. Furthermore, we employ explainability algorithms to show that our model is making decisions for the right reasons and to connect complex black-box machine learning mappings to current real-world geodetic interpretations of the Mauna Loa magmatic system.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-026-01950-4","usgsCitation":"Paladino, T.G., Montgomery-Brown, E.K., Bagnardi, M., Poland, M., and Lee, R.L., 2026, Detecting volcanic deformation in Hawaii using trustworthy multimodal deep learning techniques: Bulletin of Volcanology, v. 88, 28, 22 p., https://doi.org/10.1007/s00445-026-01950-4.","productDescription":"28, 22 p.","ipdsId":"IP-182889","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-026-01950-4","text":"Publisher Index Page"},{"id":501966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.65407582020632,\n              19.593816099063176\n            ],\n            [\n              -155.65407582020632,\n              19.422897333729793\n            ],\n            [\n              -155.4098890103293,\n              19.422897333729793\n            ],\n            [\n              -155.4098890103293,\n              19.593816099063176\n            ],\n            [\n              -155.65407582020632,\n              19.593816099063176\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Paladino, Tyler Grant 0000-0002-5443-8046","orcid":"https://orcid.org/0000-0002-5443-8046","contributorId":364568,"corporation":false,"usgs":true,"family":"Paladino","given":"Tyler","middleInitial":"Grant","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco 0000-0002-4315-0944","orcid":"https://orcid.org/0000-0002-4315-0944","contributorId":335933,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":958280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":958281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274234,"text":"70274234 - 2026 - Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","interactions":[],"lastModifiedDate":"2026-03-23T14:22:57.40506","indexId":"70274234","displayToPublicDate":"2026-02-20T14:04:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (<i>Faxonius virilis</i>)","title":"Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis)","docAbstract":"<p><span>Crayfish are critical functional components of aquatic ecosystems. Previous research has documented adverse effects of mineral extraction on crayfish. Here, we characterize potential risks of mining-derived waterborne nickel (Ni) to crayfish by documenting the effects of dissolved Ni on growth and food consumption of juvenile virile crayfish (</span><i>Faxonius virilis)</i><span>&nbsp;in a 28-day chronic laboratory exposure. Nominal Ni concentrations ranged from 31.25 to 500 micrograms per liter (µg/L; pH = 7.96 ± 0.20, hardness = 150 ± 1 milligrams per liter as calcium carbonate). Crayfish survival, carapace length, and wet weight were measured. After 28 days of exposure, a 24-h feeding trial was performed to determine differences in food consumption. During the growth trial, 99% of crayfish survived. Change in wet weight and final wet weight were the most sensitive endpoints, with 20% effect concentrations of 24.8 and 22.6&nbsp;µg/L Ni, respectively. Crayfish exposed to an average of 438&nbsp;µg/L Ni consumed 41% less, and weighed 65.1% less, than control crayfish. These results suggest chronic, sublethal exposure to waterborne Ni may have negative effects on crayfish growth. Reduced growth and consumption rates in crayfish could have wide-ranging consequences throughout aquatic ecosystems since crayfish are consumers, prey, keystone trophic regulators, and ecosystem engineers. Finally, these results could inform bioenergetics and may be coupled with population models to predict potential changes in population sizes of native and invasive crayfishes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-026-03036-5","usgsCitation":"Moore, A.P., Wildhaber, M.L., Beaman, Z.D., Bennett, K.R., Ditter, K.K., Cleveland, D.M., Blanton, J., and Grant, T.J., 2026, Chronic exposure to waterborne nickel significantly reduced growth of juvenile crayfish (Faxonius virilis): Ecotoxicology, v. 35, 64, https://doi.org/10.1007/s10646-026-03036-5.","productDescription":"64","ipdsId":"IP-179855","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501386,"rank":4,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274234/full"},{"id":501385,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274234/images/"},{"id":501384,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274234/70274234.XML"},{"id":501228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Adrian Parr 0000-0001-9277-6399","orcid":"https://orcid.org/0000-0001-9277-6399","contributorId":298590,"corporation":false,"usgs":true,"family":"Moore","given":"Adrian","email":"","middleInitial":"Parr","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kendell Ray 0000-0001-6081-7002","orcid":"https://orcid.org/0000-0001-6081-7002","contributorId":334116,"corporation":false,"usgs":true,"family":"Bennett","given":"Kendell","email":"","middleInitial":"Ray","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blanton, J.","contributorId":89345,"corporation":false,"usgs":true,"family":"Blanton","given":"J.","email":"","affiliations":[],"preferred":false,"id":957115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Tyler J.","contributorId":149938,"corporation":false,"usgs":false,"family":"Grant","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":17858,"text":"Iowa State U, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":957116,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274115,"text":"70274115 - 2026 - Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies","interactions":[],"lastModifiedDate":"2026-02-27T15:48:44.05841","indexId":"70274115","displayToPublicDate":"2026-02-20T09:47:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23313,"text":"Current Forestry Reports","active":true,"publicationSubtype":{"id":10}},"title":"Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Purpose of Review</h3><p>Blue carbon is an important concept for environmental policy. Blue carbon strategies (conservation and restoration for carbon gain) have been primarily implemented with mangroves, though are likely to be suitable for other tidal forested wetlands. Here, we discuss the expanding definition of blue carbon encompassing all tidal forested wetlands, synthesize ecological and carbon sink knowledge of tidal forested wetlands, and reflect on key actions in mangrove blue carbon research and implementation that could be applied to other tidal forested wetlands.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Recent Findings</h3><p>Conceptually, the blue carbon concept has now expanded beyond traditional coastal vegetated ecosystems to include all tidal wetlands, including tidal forested wetlands. Emerging data on carbon sequestration, emissions, and budgets from around the world now show that many tidal forested wetland ecosystems are carbon sinks at a magnitude similar to mangroves. At the global scale, mangroves have become incorporated into blue carbon strategies rapidly compared to other tidal forested wetlands, facilitated by agenda-setting papers, adequate data addressing concerns on emissions and permanence, the availability of global maps, a clear ecosystem definition, clear accounting and policy frameworks, and international stakeholders who acted as high profile ecosystem advocates, alongside long-term capacity building efforts. This provides a roadmap for implementation in other tidal forested wetlands.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Summary</h3><p>Tidal forested wetlands other than mangroves have high potential for blue carbon management. Many tidal forested wetlands share biophysical similarities with mangroves, carbon stocks can be similar, and methane emissions are often no higher. An increasing evidence base, challenging assumptions around greenhouse gas fluxes, and robust engagement with policy actors and frameworks, could increase the use of blue carbon for tidal forested wetland conservation and restoration.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s40725-026-00271-1","usgsCitation":"Friess, D.A., Adame, M.F., Kelleway, J., Krauss, K.W., and Noe, G.B., 2026, Tidal forested wetlands can be incorporated into blue carbon conservation and restoration strategies: Current Forestry Reports, v. 19, 9, 14 p., https://doi.org/10.1007/s40725-026-00271-1.","productDescription":"9, 14 p.","ipdsId":"IP-183794","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501264,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1IY7V9Q","text":"USGS data release","linkHelpText":"Greenhouse Gas Fluxes along a Tidal Gradient of Low Salinity Freshwater Forested Wetlands"},{"id":500810,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40725-026-00271-1","text":"Publisher Index Page"},{"id":500755,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FXRJBM","text":"USGS data release","linkHelpText":"Literature rates of measured methane fluxes from tidal wetland soils to the atmosphere"},{"id":500648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":367011,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel","middleInitial":"A.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":956577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adame, Maria F.","contributorId":367012,"corporation":false,"usgs":false,"family":"Adame","given":"Maria","middleInitial":"F.","affiliations":[{"id":25525,"text":"Australian Rivers Institute","active":true,"usgs":false}],"preferred":false,"id":956578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelleway, Jeffrey","contributorId":149007,"corporation":false,"usgs":false,"family":"Kelleway","given":"Jeffrey","email":"","affiliations":[{"id":17618,"text":"Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Broadway, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":956579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W.","contributorId":367013,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":956580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":956581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}