Life stages between hatching and adult recruitment are poorly described for most migratory shorebird species and represent a critical knowledge gap in understanding long-term population dynamics. We conducted a pilot study on the Seward Peninsula, Alaska, to assess the feasibility of following juvenile Bar-tailed Godwits Limosa lapponica baueri from their breeding grounds to their non-breeding grounds in New Zealand and Australia. Radio-tracked broods were highly mobile and moved hundreds to thousands of meters per day. They used low-elevation wetlands with dense shrub cover when younger, and more open, tundra-dominated ridgetops when older. Using DNA metabarcoding analysis of fecal samples, we found that chick diet consisted largely of flying insects (e.g. Tenthredinidae and Ichneumonidae) and small gastropods and appeared to increase in diversity with chick age. We followed one brood to near-fledging (ca. 26 days old) and deployed 5-g satellite transmitters on three chicks. One of these subsequently moved to the Yukon-Kuskokwim Delta, from where it flew 11 days and an estimated 13,391 km to Tasmania, which is the longest non-stop flight recorded for landbirds. These results provide the first information on the ecology of pre- and post-fledging young Bar-tailed Godwits in Alaska, and will inform future efforts to study this important life stage.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00394","usgsCitation":"Conklin, J.R., Ruthrauff, D., Valcu, M., Verkuil, Y.I., Johnson, J.A., and Kempenaers, B., 2026, Post-hatch ecology, diet, and first migration of juvenile Alaskan Bar-tailed Godwits: Wader Study, v. 133, no. 1, p. 12-25, https://doi.org/10.18194/ws.00394.","productDescription":"14 p.","startPage":"12","endPage":"25","ipdsId":"IP-179621","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, New Zealand, United States","state":"Alaska","volume":"133","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Conklin, Jesse R.","contributorId":169340,"corporation":false,"usgs":false,"family":"Conklin","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":961400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":244581,"corporation":false,"usgs":false,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":961401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valcu, Mihai 0000-0002-6907-7802","orcid":"https://orcid.org/0000-0002-6907-7802","contributorId":216254,"corporation":false,"usgs":false,"family":"Valcu","given":"Mihai","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":961402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verkuil, Yvonne I.","contributorId":194622,"corporation":false,"usgs":false,"family":"Verkuil","given":"Yvonne","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":961403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kempenaers, Bart","contributorId":344055,"corporation":false,"usgs":false,"family":"Kempenaers","given":"Bart","affiliations":[],"preferred":false,"id":961405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274682,"text":"70274682 - 2026 - Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","interactions":[],"lastModifiedDate":"2026-04-06T14:19:40.048443","indexId":"70274682","displayToPublicDate":"2026-04-01T09:15:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","docAbstract":"Streamflows in Massachusetts have set record lows in recent years despite generally wetter conditions than during the drought of the 1960s, and the reasons for this are not known. To analyse potential drivers of low streamflows in Massachusetts, six low-flow metrics were computed at 107 streamgages. These metrics represent low-flow magnitude, magnitude normalized to median flows, and duration. Multiple linear regressions were used to analyse the variability of low flows over space and time. Potential explanatory variables were computed using climatic, land use, water use, and basin data. For all low-flow metrics, the ratio of precipitation to potential evapotranspiration (P/PET) in July–August explained the most variability, with decreasing P/PET largely explained by lower precipitation. Water/wetland area was a significant explanatory variable in all the normalized-magnitude and duration models, with greater area associated with lower normalized magnitudes and with shorter durations of low flows. Human influence (characterized by development, population, water use, and artificial water storage) had mixed effects. Trends from 1983 to 2022 in summer P/PET and human influence have been strongest in the eastern part of the state where the strongest decreases in flows are observed. Low flows in Massachusetts seem to be driven by a combination of low summer precipitation and human effects, though the specific mechanisms of human influence on flow likely vary between basins.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70108","usgsCitation":"Chamberlin, C.A., and Hodgkins, G., 2026, Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables: Journal of the American Water Resources Association, v. 62, no. 2, e70108, 19 p., https://doi.org/10.1111/1752-1688.70108.","productDescription":"e70108, 19 p.","ipdsId":"IP-176468","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70108","text":"Publisher Index Page"},{"id":502200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chamberlin, Catherine A. 0000-0002-1307-4784","orcid":"https://orcid.org/0000-0002-1307-4784","contributorId":331334,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Catherine","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":214833,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275225,"text":"70275225 - 2026 - Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California","interactions":[],"lastModifiedDate":"2026-04-23T14:17:09.743531","indexId":"70275225","displayToPublicDate":"2026-04-01T09:12:36","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California","docAbstract":"Volcanic rocks of latest Oligocene to early Miocene age form an east-west belt across part of the central eastern Mojave Desert from the Whipple Mountains on the east to the Rosamond Hills on the west. We term this the central belt because it is separated from northern and southern belts by swaths with no volcanic rocks. Limited geochronologic data indicate that much of the belt is latest Oligocene and early Miocene in age, about 24 to 19 Ma, a finding that is consistent with these rocks being overlain by the 18.8 Ma Peach Spring Tuff in many places.
We describe Miocene geology in a central area of the belt, in the Lava Hills, southern Bristol Mountains, and southern Old Dad Mountains. Sedimentary basins formed coeval with early andesite to rhyolite volcanism, progressing from fluvial and lacustrine tuffaceous sandstone to volcanic lavas, tuffs, and breccias, indicating that early basins formed proximal to volcanic edifices. Higher strata are fluvial and lacustrine with lavas punctuating the sequence. Although basins may partly have been formed within topographic lows bounded by volcanic domes, plateaus, and stratovolcanoes, consistent stratigraphic sections over wide areas indicate that tectonic basin evolution affected broad areas. The volcanic section is capped by local basalt flows and the regional Peach Spring Tuff. Limited data on normal faults support interpretations of early extensional basin development caused by northeast-southwest oriented stretching. Later extension caused stratal rotations, tilting early deposits down to the southwest. This tilted and subsequently beveled basin architecture was overlain by the youngest volcanic deposits, primarily rhyolite and basalt. The Peach Spring Tuff, 18.8 Ma, lies within this upper unit. Similar stratigraphic and structural relations are exposed in the nearby Marble Mountains and Van Winkle Mountain sections, reinforcing that a broad area underwent similar volcanism and tectonism. In our study area the upper unit is only very gently tilted except near dextral strike-slip faults of the eastern California shear zone. These late Miocene to Recent faults are represented as four main fault zones spaced about 5 km apart, representing distributed shear north of the Bristol Lake basin.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Miocene Mojave: The volcanic story: Desert Symposium field guide and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert Symposium, Inc.","usgsCitation":"Miller, D., Harvey, J., Buesch, D.C., and Gans, P., 2026, Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California, in Miocene Mojave: The volcanic story: Desert Symposium field guide and proceedings, p. 59-70.","productDescription":"12 p.","startPage":"59","endPage":"70","ipdsId":"IP-185986","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503330,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://desertsymposium.org"}],"country":"United States","state":"California","otherGeospatial":"Lava Hills, southern Bristol Mountains, and southern Old Dad Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 36\n ],\n [\n -118.5,\n 36\n ],\n [\n -118.5,\n 33\n ],\n [\n -114,\n 33\n ],\n [\n -114,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":960169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Janet","contributorId":296385,"corporation":false,"usgs":false,"family":"Harvey","given":"Janet","email":"","affiliations":[{"id":64025,"text":"Heidelberg University Institute of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":960170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":960171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Phillip B.","contributorId":351265,"corporation":false,"usgs":false,"family":"Gans","given":"Phillip B.","affiliations":[{"id":83939,"text":"UCSB Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":960172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275171,"text":"70275171 - 2026 - Small cumulative survival costs of enzootic disease could suppress long-term population size","interactions":[],"lastModifiedDate":"2026-04-20T14:05:28.185274","indexId":"70275171","displayToPublicDate":"2026-04-01T08:55:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Small cumulative survival costs of enzootic disease could suppress long-term population size","docAbstract":"Fungal pathogens can cause epizootics that result in widespread mortality and rapid population declines in some species. However, even in the absence of high disease-induced mortality, enzootic mycoses could have large-scale impacts on host population dynamics. Here, we examined the effects of ophidiomycosis, an enzootic fungal disease, on a Louisiana snake community over a 3-year period using a multi-state Jolly–Seber model with disease-state misclassification. We did not detect a difference between the average weekly apparent survival probability of uninfected and infected hosts for either Nerodia species or Thamnophis proximus. We also found a strong positive association between snout-to-vent length and weekly apparent survival probability across all species. We found that recruitment of infected hosts was slightly higher than recruitment of uninfected hosts for two of the three species. Population projections suggested divergent trajectories between disease-present and disease-absent scenarios, where disease-absent populations had higher abundance than disease-present populations. Our results highlight that small differences in survival can accumulate over time, as well as the challenges of quantifying population-level impacts of enzootic diseases when survival differences are not readily detected, underscoring the importance of continued long-term monitoring to assess whether ophidiomycosis affects snake population dynamics.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rsos.251694","usgsCitation":"Glorioso, B., DiRenzo, G.V., Lorch, J., Mosher, B.A., Miller, D.A., Campbell Grant, E.H., and Waddle, H., 2026, Small cumulative survival costs of enzootic disease could suppress long-term population size: Royal Society Open Science, v. 13, no. 4, 251694, 23 p., https://doi.org/10.1098/rsos.251694.","productDescription":"251694, 23 p.","ipdsId":"IP-122970","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.251694","text":"Publisher Index Page"},{"id":503245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Vermillion Parish","otherGeospatial":"Palmetto Island State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.15593638201882,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.87357117735192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V. 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":370139,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":959865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":264594,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":959866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosher, Brittany A. 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":370141,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":959867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David A.W. 0000-0002-3011-3677","orcid":"https://orcid.org/0000-0002-3011-3677","contributorId":370142,"corporation":false,"usgs":false,"family":"Miller","given":"David","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":959869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":204398,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959870,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275035,"text":"70275035 - 2026 - Identifying overwintering habitat of silver and bighead carp in the lower Mississippi River: Implications for harvesting and population reduction","interactions":[],"lastModifiedDate":"2026-04-13T14:11:16.67307","indexId":"70275035","displayToPublicDate":"2026-04-01T08:54:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5240,"text":"Technical Note","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/EL TN-26-1","title":"Identifying overwintering habitat of silver and bighead carp in the lower Mississippi River: Implications for harvesting and population reduction","docAbstract":"A total of 41 sites along a 58 mi reach of the Lower Mississippi River (LMR) were surveyed during winter 2022 for invasive carp aggregation.* Sites consisting of scallops closest to the dike-vegetated bank interface with deeper, slow-moving water and consistent access back to the main channel were preferred. Carp avoided strong currents, and there was no trend in depth selection other than avoiding shallow (less than 20 ft) water. In January 2023, recreation-grade sonar (e.g., side-scan and down-imaging) surveys were conducted in the same reach of the LMR
to demonstrate the technology and evaluate carp population size at sites with high abundances based on previous surveys. Fish density was estimated to be 32 fish/10,000 yd3 (95% confidence interval [CI; 31–34]) using down-imaging software, which is the first estimate of assumed bigheaded carp density in the LMR. Additional fish collections are needed to confirm species composition and size abundance provided by sonar technology. Resurveying sites with high carp abundance over a range of river stages would be necessary to fully characterize habitat conditions, evaluate influence of river stage on occupancy duration, and continue to evaluate species composition and mass removal techniques as a management option in the Lower Mississippi River.
Lake Ontario Lake Trout (Salvelinus namaycush) rehabilitation has been assessed with fishery dependent and independent surveys to evaluate program benchmarks and compare observations with management objectives since 1983. These surveys provide information on the abundance, strain composition, and performance of stocked Lake Trout, as well as information on levels of natural recruitment, and Sea Lamprey (Petromyzon marinus) wounding rates. Lake Trout catch per unit effort (CPUE) in the August gillnet survey was notably lower in 2025. Percentage of naturally produced Lake Trout in US waters continued to be relatively low for mature and immature fish. Sea Lamprey wounding rates on Lake Trout > 432 mm in 2025 were below management target in US waters with zero A1 wounds observed. Overall, the 2025 survey results suggest that Lake Trout indicators continue to meet some of the management objectives but are not showing signs of meaningful recruitment to the adult stock.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Malley, B., Dixon, K., Mitchinson, O.M., Stahl, S.D., Weidel, B., Connerton, M.J., and Goretzke, J.A., 2026, Lake Ontario August gillnet survey and lake trout assessment, 2025, 15 p.","productDescription":"15 p.","ipdsId":"IP-184450","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504296,"rank":1,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://glfc.org/publication-media-search.php"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.925537109375,\n 43.265206318396025\n ],\n [\n -79.8101806640625,\n 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0009-0002-7999-1160","orcid":"https://orcid.org/0009-0002-7999-1160","contributorId":339869,"corporation":false,"usgs":true,"family":"Mitchinson","given":"Olivia","email":"","middleInitial":"Margaret","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Scott David 0009-0002-0248-4523","orcid":"https://orcid.org/0009-0002-0248-4523","contributorId":339870,"corporation":false,"usgs":true,"family":"Stahl","given":"Scott","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connerton, Michael J","contributorId":371272,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","middleInitial":"J","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":961476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goretzke, Jessica A","contributorId":371273,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","middleInitial":"A","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":961477,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275243,"text":"70275243 - 2026 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025","interactions":[],"lastModifiedDate":"2026-04-24T13:54:40.993114","indexId":"70275243","displayToPublicDate":"2026-04-01T08:46:08","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24011,"text":"Lake Erie Biological Station Annual Report","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"2025","title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025","docAbstract":"Lake Erie has the most populated watershed of all the Great Lakes and has undergone dramatic anthropogenic changes. Since the 1800s, overexploitation of fish populations, habitat destruction, non-native species proliferation, industrial contamination, and changes in nutrient loading have impacted the fish community including declines in or extirpation of many native species (Regier et al. 1969, Hartman 1973; Leach & Nepszy 1976; Ludsin et al. 2001). Implementation of the Clean Water Act and Great Lakes Water Quality Agreement in the 1970s improved habitat conditions (Reutter 2019), which contributed to several strong percid year-classes (Vandergoot et al. 2019). These strong year-classes also benefited from more restrictive management practices that reduced harvest, ultimately rehabilitating Lake Erie percid stocks (Kayle et al. 2015, STC 2020). Historically, Lake Erie supported a cool water fish community dominated by percids and salmonids. Recently updated FCOs set forth a vision that “Lake Erie will consist of diverse fish communities that support ongoing societal benefits, including thriving commercial and recreational fisheries, improved fish habitat and desirable ecosystem performance, and reduced adverse impacts from invasive fish” (Francis et al. 2020). Today, mixed fisheries resulting from seasonally changing cool and warm water habitats have developed in Lake Erie, and the new FCOs reflect a desire to manage both predator and prey fish communities within them.
Although Lake Erie management agencies have traditionally focused on numerical indices of a few economically important species, aquatic ecosystem models are typically evaluated in terms of entire fish community biomass. As a result, our understanding of fish community structure and ecosystem dynamics from biomass-based models has been limited to short-term investigations and proxy measurements (e.g., length-weight conversion; FTG 2020). Therefore, many Lake Erie fish community databases are now incorporating biomass-based measurements.
In response, USGS revised the Lake Erie trawl program to provide biomass-based measurements for all encountered species (Table 1). The survey design change occurred in 2012, coincident with commissioning of a new research vessel and a change in bottom trawl gear. These modifications already altered the existing time series; therefore, the survey design was also expanded to include greater spatial coverage and increased sample size generating a new time series. The purpose of this report is to develop a comprehensive understanding of the long-term changes and fish community dynamics including population dynamics of key fishes of interest to management agencies, such as native percids and their prey. Here, we summarize survey results for the most recent series of West Basin trawl data from 2013 through 2025.
Note that a detailed description of the sampling process along with traditional numericallybased catch data (e.g., fish/ha) for individual species can be downloaded online (DuFour et al. 2026) or obtained for earlier years (https://doi.org/10.5066/F75M63X0; U.S. Geological Survey, Great Lakes Science Center 2019).
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Dufour, M.R., Guzzo, F., Hilling, C.D., Kohler, B.E., Kraus, R., Oldham, R.C., Roberts, J., and Schmitt, J., 2026, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2025: Lake Erie Biological Station Annual Report 2025, 22 p.","productDescription":"22 p.","ipdsId":"IP-187964","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":503508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503507,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"western Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.51214181996446,\n 42.38000445143351\n ],\n [\n -81.89999576519399,\n 42.38000445143351\n ],\n [\n -81.89999576519399,\n 41.33512689972139\n ],\n [\n -83.51214181996446,\n 41.33512689972139\n ],\n [\n -83.51214181996446,\n 42.38000445143351\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzzo, Francesco 0000-0003-2374-0514","orcid":"https://orcid.org/0000-0003-2374-0514","contributorId":351294,"corporation":false,"usgs":true,"family":"Guzzo","given":"Francesco","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kohler, Branden Eric 0009-0005-9159-9761","orcid":"https://orcid.org/0009-0005-9159-9761","contributorId":370371,"corporation":false,"usgs":true,"family":"Kohler","given":"Branden","middleInitial":"Eric","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oldham, Richard Cole 0000-0002-2331-7612","orcid":"https://orcid.org/0000-0002-2331-7612","contributorId":294345,"corporation":false,"usgs":true,"family":"Oldham","given":"Richard","email":"","middleInitial":"Cole","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":960226,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275543,"text":"70275543 - 2026 - Exploring management options for moose at their southern range limits considering growing disease risk","interactions":[],"lastModifiedDate":"2026-05-04T15:42:55.574234","indexId":"70275543","displayToPublicDate":"2026-04-01T08:35:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Exploring management options for moose at their southern range limits considering growing disease risk","docAbstract":"1. Populations of cold-adapted species are increasingly vulnerable along their low-latitude range limits due to shifting environmental conditions, biotic interactions, and anthropogenic pressures. Managing these populations is particularly challenging because of complex ecological dynamics, conflicting stakeholder interests, and decision-making under uncertainty.
2. We explored population growth (λ) of moose (Alces alces) under different hypothetical management scenarios, simulating combinations of five hypothetical harvest levels with three levels of disease impact.
3. Facing current disease, the population could support multiple levels of conservative harvest. Under elevated levels of disease-caused mortality, projections indicated declines for all harvest scenarios. We projected increases across all harvest scenarios when overlap with white-tailed deer (Odocoileus virginianus) was hypothetically reduced and disease mortality in moose minimized. We investigated whether uncertainty in moose demographic parameters altered population trajectory, and found changes in adult fecundity and calf survival could alter harvest decisions when λ<1.
4. Practical implication. While moose population trajectories may remain stable under current conditions, management of white-tailed deer that reduces moose exposure to lethal parasites may provide the greatest utility in sustaining moose in New York given the potential for increased disease. Continued monitoring of population size, growth, and disease prevalence would inform sustainable moose harvest levels that balance social and ecological management considerations.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.70229","usgsCitation":"Grauer, J.A., Frair, J.L., Schuler, K.L., Kramer, D.W., and Fuller, A.K., 2026, Exploring management options for moose at their southern range limits considering growing disease risk: Ecological Solutions and Evidence, v. 7, no. 2, e70229, 12 p., https://doi.org/10.1002/2688-8319.70229.","productDescription":"e70229, 12 p.","ipdsId":"IP-175569","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.70229","text":"Publisher Index Page"},{"id":503939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.735700577237,\n 44.57481045582847\n ],\n [\n -74.735700577237,\n 44.50525386210168\n ],\n [\n -74.62155462739723,\n 44.50525386210168\n ],\n [\n -74.62155462739723,\n 44.57481045582847\n ],\n [\n -74.735700577237,\n 44.57481045582847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":370982,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":960844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frair, Jacqueline L.","contributorId":370983,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","middleInitial":"L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":960845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuler, Krysten L.","contributorId":370985,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":960846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, David W.","contributorId":370987,"corporation":false,"usgs":false,"family":"Kramer","given":"David","middleInitial":"W.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":960847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960848,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275305,"text":"70275305 - 2026 - Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert","interactions":[],"lastModifiedDate":"2026-04-28T15:04:47.031202","indexId":"70275305","displayToPublicDate":"2026-04-01T07:58:31","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert","docAbstract":"Background:
As solar energy development expands in desert regions, new installation practices and solar technologies seek to balance ecosystem conservation and energy generation (ecovoltaics). The Gemini Solar Project, a large ecovoltaic facility located in the northeastern Mojave Desert, employed low impact installation methods to reduce disturbance of the desert ecosystem within arrays of bifacial panels mounted on solar tracking systems. We evaluated microclimate and environmental conditions across five locations: four within-facility microsites (underneath solar panels, east and west panel driplines, and interspaces between panel rows) and one in the undisturbed desert outside the facility.
Results:
Under panel microsites experienced lower solar radiation and evaporative demand than panel driplines, and driplines experienced lower solar radiation and evaporative demand than interspaces and undisturbed desert outside the facility. Air temperature was similar among microsites, whereas soil surface temperature was highest in interspaces and lower in under-panel and dripline microsites due to diurnal panel shading. Soil temperature was higher under panels compared to interspaces from March to September and lower in other months, and higher during daytime and lower at nighttime periods. Panel tracking and the more frequent occurrence of afternoon precipitation promoted higher soil moisture in west driplines. Water redistribution was also influenced by soil hydraulic conductivity—deep soils experienced greater west dripline soil moisture, whereas shallow soils experienced surface water pooling and greater soil moisture in the west dripline and under solar panels.
Conclusions:
Gemini’s ecovoltaic design promotes microclimate heterogeneity, moderating some environmental conditions while intensifying others, and often differing from fixed panel facilities with higher disturbance. This research provides critical information to balance renewable energy expansion and ecological function in warm deserts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13717-026-00691-8","usgsCitation":"Pinos, J., Munson, S.M., Karban, C.C., and Petrie, M.D., 2026, Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert: Ecological Processes, v. 15, 33, 14 p., https://doi.org/10.1186/s13717-026-00691-8.","productDescription":"33, 14 p.","ipdsId":"IP-183386","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13717-026-00691-8","text":"Publisher Index Page"},{"id":503590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desertt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.01799645582278,\n 36.471878495365985\n ],\n [\n -115.01799645582278,\n 36.27025532771148\n ],\n [\n -114.70070106812142,\n 36.27025532771148\n ],\n [\n -114.70070106812142,\n 36.471878495365985\n ],\n [\n -115.01799645582278,\n 36.471878495365985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pinos, Juan","contributorId":357729,"corporation":false,"usgs":false,"family":"Pinos","given":"Juan","affiliations":[{"id":85544,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada 89154, USA","active":true,"usgs":false}],"preferred":false,"id":960519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":960520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Matthew D.","contributorId":370568,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew","middleInitial":"D.","affiliations":[{"id":87009,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA","active":true,"usgs":false}],"preferred":false,"id":960522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274758,"text":"70274758 - 2026 - Extrinsic factors similarly affect nest survival of a threatened shorebird in natural and human-created habitats","interactions":[],"lastModifiedDate":"2026-04-08T15:02:20.05868","indexId":"70274758","displayToPublicDate":"2026-04-01T00:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Extrinsic factors similarly affect nest survival of a threatened shorebird in natural and human-created habitats","docAbstract":"Knowledge of factors that influence nest survival can inform effective conservation management for imperiled avian species. Habitat availability and quality are common priorities of conservation efforts, and climate and interspecific associations can also affect survival rates. In the lower Platte River system of eastern Nebraska, USA, Piping Plovers (Charadrius melodus, hereafter plovers) nest on river sandbars and different types of human-created off-river sites (i.e., sand and gravel mines, housing developments, and transitional sites) that are unique within the Northern Great Plains breeding population. However, off-river habitat may not be suitable for plover nesting long-term because of reduced habitat availability on both river sandbars and off-river sites. We evaluated plover nest survival at off-river and sandbar sites using data from 2008 to 2023 (n = 285). In addition, we examined the effects of extreme temperatures, proximity to conspecific and Interior Least Tern (Sternula antillarum athalassos, hereafter tern) nests, and temporal factors on nest survival. Plover nest survival did not differ between off-river sites and sandbars or amongst different off-river site types. Daily nest survival was 0.9818 (95% CI = 0.9729–0.9878) from 2008 to 2013 (unexclosed; n = 87) and 0.9950 (0.9918–0.9970) from 2014 to 2023 (exclosed; n = 198). Nest survival increased with the proportion of above average temperature days, increased with proximity to neighboring tern nests, and decreased with later nest initiation dates. Therefore, prioritizing early season nests, recognizing the benefits terns provide to plover nest survival, and monitoring the effect of climatic trends may aid future conservation efforts. Finally, as nest survival at off-river sites is comparable to sandbars, the predicted decline of habitat provided at off-river sites may reduce the overall breeding productivity and abundance of plovers in the lower Platte River system with ramifications to broader population viability.
","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-03058-210115","usgsCitation":"Forsberg, E., Swift, R.J., Powell, L., Jorgensen, J., and Vrtiska, M.P., 2026, Extrinsic factors similarly affect nest survival of a threatened shorebird in natural and human-created habitats: Avian Conservation and Ecology, v. 21, no. 1, 15, 10 p., https://doi.org/10.5751/ACE-03058-210115.","productDescription":"15, 10 p.","ipdsId":"IP-179603","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":502482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-03058-210115","text":"Publisher Index Page"},{"id":502272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Staes","state":"Nebraska","otherGeospatial":"Elkhorn River, Loup River, lower Platte River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.92337460360945,\n 41.7611349023785\n ],\n [\n -96.92337460360945,\n 40.94787365795628\n ],\n [\n -95.81031359803787,\n 40.94787365795628\n ],\n [\n -95.81031359803787,\n 41.7611349023785\n ],\n [\n -96.92337460360945,\n 41.7611349023785\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Forsberg, Elsa M.","contributorId":357514,"corporation":false,"usgs":false,"family":"Forsberg","given":"Elsa M.","affiliations":[{"id":16602,"text":"University of Nebraska, Lincoln","active":true,"usgs":false}],"preferred":false,"id":958953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Larkin A.","contributorId":352292,"corporation":false,"usgs":false,"family":"Powell","given":"Larkin A.","affiliations":[{"id":84162,"text":"School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska USA","active":true,"usgs":false}],"preferred":false,"id":958956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgensen, Joel G.","contributorId":169604,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Joel G.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":958955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vrtiska, Mark P.","contributorId":201604,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark","middleInitial":"P.","affiliations":[{"id":36216,"text":"NE Game & Parks","active":true,"usgs":false}],"preferred":false,"id":958957,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274586,"text":"pp1890B - 2026 - Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment","interactions":[{"subject":{"id":70274586,"text":"pp1890B - 2026 - Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment","indexId":"pp1890B","publicationYear":"2026","noYear":false,"chapter":"B","displayTitle":"Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A Transdisciplinary Approach to Address the Challenge of Distributed Volcanism in an Urban Environment","title":"Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment"},"predicate":"IS_PART_OF","object":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"id":1}],"isPartOf":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"lastModifiedDate":"2026-04-01T13:46:26.807884","indexId":"pp1890B","displayToPublicDate":"2026-03-31T13:40:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1890","chapter":"B","displayTitle":"Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A Transdisciplinary Approach to Address the Challenge of Distributed Volcanism in an Urban Environment","title":"Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment","docAbstract":"The Determining Volcanic Risk in Auckland (DEVORA) Research Programme was launched in 2008 to address the challenges associated with monogenetic volcanism in an urban setting and to enhance volcanic risk management in Tāmaki Makaurau Auckland in Aotearoa New Zealand. It is a multi-agency, increasingly transdisciplinary (defined here as research that transcends traditional disciplinary boundaries by integrating diverse types of knowledge, perspectives, and methods from academic and non-academic participants to create novel solutions to complex problems), and collaborative research program jointly led by Waipapa Taumata Rau University of Auckland and Earth Sciences New Zealand (ESNZ; formerly GNS Science), with core funding from Natural Hazards Commission Toka Tū Ake (NHC; formerly the Earthquake Commission, EQC) and Te Kaunihera o Tāmaki Makaurau Auckland Council (AC). The primary research focus of DEVORA is to investigate the geologic history, volcanic hazards, and risk posed by the basaltic intraplate Auckland Volcanic Field. Disruption from ash fall and gas from other Aotearoa New Zealand volcanoes is also considered. DEVORA’s work to explore exposure and vulnerability in Tāmaki Makaurau Auckland is also useful for assessing risks from other non-volcanic natural hazards, such as seismic and tsunami hazards. The greater Tāmaki Makaurau Auckland region has an ethnically and socio-economically diverse population of approximately 1.7 million, representing about one-third of the Aotearoa New Zealand population, and hosts critical infrastructure of national significance. The size and nature of the populace, consequential economic base, and important infrastructure within Tāmaki Makaurau Auckland mean that the effects of a volcanic eruption would be felt nationally, including through the disruption of air travel to Aotearoa New Zealand. The hazards from such an eruption could potentially affect hundreds of thousands of people, businesses, and lifelines (critical infrastructure). A considerable challenge for emergency and risk managers is the monogenetic nature of the volcanic field. It is not known where or when the next eruption will occur, how much warning we may get before an eruption, nor how an eruption and its effects might unfold. In this contribution, we highlight the concept and collaborative intent of the DEVORA Programme and show how it has evolved over the 16 years since its inception. We describe how DEVORA has unified more than 100 researchers (including more than 50 graduate students) and numerous stakeholders to address key issues facing Tāmaki Makaurau Auckland and describe how research findings are being implemented into policy and communicated to stakeholder agencies and the public. We also illustrate the broader influence of the DEVORA Programme and provide some learnings that might benefit others embarking on similar integrated projects, especially those focused on distributed volcanism in and near populated areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890B","usgsCitation":"Lindsay, J.M., Smid, E.R., Balfour, N., Deligne, N.I., Doherty, A., Hall, A., Howe, T., Jolly, G., Leonard, G., Lewis, K., Miller, C., Nersezova, E., Roberts, R., Smith, R., Stolberger, T., Tapuke, K., and Wilson, T., 2026, Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment, chap. B of Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, R.G., Connor, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 22 p., https://doi.org/10.3133/pp1890B.","productDescription":"v, 22 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-157953","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501880,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/b/images"},{"id":501876,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/b/coverthb.jpg"},{"id":501877,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/b/pp1890B.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-B PDF"},{"id":501878,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890B/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-B HTML"},{"id":501879,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/b/pp1890B.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1890-B XML"}],"country":"New Zealand","city":"Auckland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 174.09266035020408,\n -35.84596871183301\n ],\n [\n 174.09266035020408,\n -37.29321108138314\n ],\n [\n 176.16213903754578,\n -37.29321108138314\n ],\n [\n 176.16213903754578,\n -35.84596871183301\n ],\n [\n 174.09266035020408,\n -35.84596871183301\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Volcano Science Center
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A","contributorId":371084,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","middleInitial":"A","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":960990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunderland, Lucus","contributorId":356826,"corporation":false,"usgs":false,"family":"Sunderland","given":"Lucus","affiliations":[{"id":85250,"text":"OMNR","active":true,"usgs":false}],"preferred":false,"id":960991,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274697,"text":"70274697 - 2026 - Status and trends in the Lake Superior fish community, 2025","interactions":[],"lastModifiedDate":"2026-04-07T14:01:10.480337","indexId":"70274697","displayToPublicDate":"2026-03-31T08:48:57","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends in the Lake Superior fish community, 2025","docAbstract":"The U.S. Geological Survey has conducted annual trawl surveys across Lake Superior since 1978 that describe trends in fish species occurrence and relative abundance to support fisheries science and management. In 2025, the Lake Superior fish community was sampled with daytime bottom and surface trawls at 72 nearshore stations in May and June and 36 offshore locations in July. Nearshore bottom trawls collected 63,005 fish represented by 30 species or morphotypes. The number of species collected at each location ranged from 1 to 13, with a median of 7.0 species. Estimated fish biomass density at individual stations ranged from <0.1 to 125.7 kg per ha with a lakewide mean of 7.6 kg per ha. Offshore bottom trawls collected 30,342 fish represented by 13 species or morphotypes. Estimated fish biomass density at individual stations ranged from 1.6 to 34.7 kg per ha with a lakewide mean of 9.1 kg per ha, which was the highest since the offshore survey began in 2011. Lakewide average numerical densities (fish per ha) of age-1 fish were 0.67 per ha for Bloater, 0.01 per ha for Cisco, 1.15 per ha for Kiyi, 0.95 per ha for Lake Whitefish, and 336.33 per ha for Rainbow Smelt. Surface trawling collected 1,562 larval Coregonus individuals which was the fewest Coregonus larvae collected in a whole lake survey since the larval fish survey began in 2014. Nearshore mean larval Coregonus numerical densities were 156 fish per ha in May and June 2025 and 21 fish per ha in July 2025. May mean surface water temperatures (6.1°C) were near the warmest for the period-of-record, while June (6.8°C) and July (10.0°C) were near average or below.
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consists of diverse ecosystems that are experiencing increasing pressures from rising temperatures, increasing aridity, and sea level rise. To prepare this region for future uncertainty, there is a need for strong partnerships among researchers and societal partners. The Southwest Climate Adaptation Science Center (SW CASC) acts to foster engaged scholarship from diverse perspectives to produce science relevant for management and policy decisions. Here, we synthesized a subset of SW CASC-funded projects and published manuscripts to illustrate how the combination of new scientific knowledge and the research and practice of engaged scholarship produce actionable science with direct societal impacts. In the SW CASC Contributions to Regional Science section, we touch on new research produced from funded projects on the most common topics: (1) Forest Ecosystems, (2) Coastal Ecosystems, (3) Hydrometeorology, and (4) Research on Engaged Scholarship. In the SW CASC Contributions to Regional Impacts section, we outline engaged scholarship activities to demonstrate how they created societal impacts: (1) the Keepers of the Flame course and workshops, (2) the Southwest Fire Climate Adaptation Partnership and the Southern California Montane Forests Project, (3) the Coastal Managers Workshop, (4) the Colorado River Basin Wiki, and (5) the Natural Resource Workforce Development Program. In the SW CASC Publications Cited in Policy section, we used a bibliometric analysis to assess the impact of the SW CASC-funded research on policy. We analyzed how often publications were used in policy documents, finding a citation rate of 27.6%. This is high compared to similar analyses that found peer-reviewed research articles cited at a rate of 3.9% in policy documents. We conclude that coproduced science makes unique and important contributions to the resilience of the Southwest, not only by generating new knowledge but by building capacity, creating lasting relationships, and informing policy and conservation and management decisions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eas2.70037","usgsCitation":"Bailey, K.C., Hu, J., Meadow, A.M., McAfee, S.A., Gershunov, A., Enquist, C.A., Cayan, D., MIddleton Manning, B.R., Fard, E., MacDonald, G., Garfin, G.M., Baker, M., Huntly, N., and Ambroase, R.F., 2026, Creating usable science: A Southwest Climate Adaptation Science Center study: Earth Stewardship, v. 3, no. 2, e70037, 15 p., https://doi.org/10.1002/eas2.70037.","productDescription":"e70037, 15 p.","ipdsId":"IP-171228","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eas2.70037","text":"Publisher Index Page"},{"id":502363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, 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Elk (Cervus canadensis) were reintroduced to southwestern Virginia, USA, from 2012 to 2014 following successful translocations onto reclaimed surface coal mines in the region. We sought to understand how elk have acclimated following their translocation using location data from GPS-collared adult female elk (n = 33) collected from 2019 to 2022 along with remotely sensed terrain and land cover data. We utilized continuous-time movement models paired with generalized linear mixed-effects modeling to describe seasonal resource selection at second and third orders. At both scales of selection and throughout the year, female elk selected reclaimed surface mines, conifer forests, ridgetops, and areas with lower terrain roughness, while avoiding mixed hardwood and oak (Quercus spp.) forests. Unmined open land was only selected at the third order during periods of forage scarcity (i.e., winter) and increased metabolic requirements (i.e., late gestation). Although surface coal mining leaves legacy environmental impacts on the landscape, management of these sites provides benefits to elk and maintains open habitat that is otherwise limited.
","language":"English","publisher":"MDPI","doi":"10.3390/ani16071076","usgsCitation":"Quinlan, B.A., Jesmer, B.R., Rosenberger, J.P., Ford, W., and Cherry, M.J., 2026, Multiscale resource selection for a reintroduced elk population: Animals, v. 16, no. 7, 1076, 30 p., https://doi.org/10.3390/ani16071076.","productDescription":"1076, 30 p.","ipdsId":"IP-185669","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504192,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani16071076","text":"Publisher Index Page"},{"id":503943,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"southwestern Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.42546273529581,\n 36.723127621735415\n ],\n [\n -83.42546273529581,\n 36.59262364526336\n ],\n [\n -82.85348518624994,\n 36.59262364526336\n ],\n [\n -82.85348518624994,\n 36.723127621735415\n ],\n [\n -83.42546273529581,\n 36.723127621735415\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinlan, Braiden A.","contributorId":371042,"corporation":false,"usgs":false,"family":"Quinlan","given":"Braiden","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jesmer, Brett R.","contributorId":371043,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Jacalyn P.","contributorId":371044,"corporation":false,"usgs":false,"family":"Rosenberger","given":"Jacalyn","middleInitial":"P.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":960920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. 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Volcanic islands are ideal locations to study such phenomena due to their simple geometries, nontectonic construction, and strong spatiotemporal rainfall gradients. However, spatial variation in surface age, created during their construction, often complicates their degradation histories by introducing temporal changes in erosion rates as drainage networks develop. Réunion Island (western Indian Ocean) presents a clear example of this, with an east–west gradient in both surface age and mean annual precipitation, as well as infrequent cyclones that alter the background rainfall pattern. In this study, we analyze the effects of surface age, average rainfall, and rainfall variability on basin development and fluvial erosion across the island. We calculate basin-averaged values of basin morphology, age, precipitation, river discharge, eroded volumes, and erosion rates, and use these to analyze the dominant drivers of landscape evolution through a series of correlation analyses. Our results indicate a temporal dependence on the influence of precipitation, with young surfaces being dominantly eroded by high-rainfall events and older surfaces eroded by mean annual rainfall patterns. Furthermore, we show that drainage development of shield volcanoes follows similar trends to other volcano types, and suggest that surface permeability and groundwater structure are important controls on runoff-driven erosion on shield volcanoes. These results add new components to the question of how precipitation impacts erosion.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.70269","usgsCitation":"O'hara, D.J., Gourbet, L., Michon, L., and Famin, V., 2026, Investigating the influence of climate and volcanic surface aging on fluvial erosion: A case study of Réunion Island, Indian Ocean: Earth Surface Processes and Landforms, v. 51, no. 4, e70269, 18 p., https://doi.org/10.1002/esp.70269.","productDescription":"e70269, 18 p.","ipdsId":"IP-178684","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":503007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70269","text":"Publisher Index Page"},{"id":502787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Réunion Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 54.93737379632691,\n -20.716722006718115\n ],\n [\n 54.93737379632691,\n -21.49104985317473\n ],\n [\n 56.05730973942627,\n -21.49104985317473\n ],\n [\n 56.05730973942627,\n -20.716722006718115\n ],\n [\n 54.93737379632691,\n -20.716722006718115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"O'hara, Daniel James 0000-0002-1630-7985","orcid":"https://orcid.org/0000-0002-1630-7985","contributorId":369888,"corporation":false,"usgs":true,"family":"O'hara","given":"Daniel","middleInitial":"James","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gourbet, Loraine","contributorId":369890,"corporation":false,"usgs":false,"family":"Gourbet","given":"Loraine","affiliations":[{"id":87880,"text":"Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":959341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michon, Laurent","contributorId":369891,"corporation":false,"usgs":false,"family":"Michon","given":"Laurent","affiliations":[{"id":87881,"text":"Université de La Réunion, Laboratoire GéoSciences Réunion","active":true,"usgs":false}],"preferred":false,"id":959342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Famin, Vincent","contributorId":369893,"corporation":false,"usgs":false,"family":"Famin","given":"Vincent","affiliations":[{"id":87881,"text":"Université de La Réunion, Laboratoire GéoSciences Réunion","active":true,"usgs":false}],"preferred":false,"id":959343,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275764,"text":"70275764 - 2026 - Challenges and opportunities for national-scale projections of future coastal landscape change","interactions":[],"lastModifiedDate":"2026-05-18T14:55:52.325001","indexId":"70275764","displayToPublicDate":"2026-03-31T07:41:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and opportunities for national-scale projections of future coastal landscape change","docAbstract":"Local to global scale projections of future coastal landscape change are essential to improve land and resource management decisions that aim to prepare for and reduce risk exposure to impending coastal hazards. However, the availability of actionable knowledge is often limited due to the complexity of drivers of change, their consequences, and uncertainties that span disciplines. Varying spatial and temporal scales of physical processes that occur on landscapes with differing levels of coastal development and modification complicate decision-making. This paper reviews advances in observational approaches, modeling, and quantification of uncertainty to support the next generation of coastal change projections. We also highlight transdisciplinary opportunities for making this information more accessible and useful to support decision-making in the coastal zone. This includes consideration of different levels of user engagement to address specific needs, as well as resources and mechanisms that can support knowledge transfer broadly. A central recommendation is the development of a coordinated framework to support research integration including three components: accounting for relevant drivers, processes, and feedbacks; working with users to identify their information needs; and generating meaningful projections and uncertainty. Actions that would support such frameworks include the evaluation of models through coordinated research approaches and multi-model comparisons; ongoing investments in observations and data-driven approaches necessary to understand this complex environment; expansion of modeling capabilities using novel techniques; prioritization of co-development efforts between researchers and users; and continued training and support for transdisciplinary research.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005833","usgsCitation":"Lentz, E.E., Passeri, D.L., Zeigler, S.L., White, K., Wahl, T., Stoltz, A.D., Pendleton, E.A., Misra, S., Meckley, T.D., Hamlington, B., Ganju, N., Cravens, A.E., Carr, J., and Buckel, C.A., 2026, Challenges and opportunities for national-scale projections of future coastal landscape change: Earth's Future, v. 14, no. 4, e2024EF005833, 33 p., https://doi.org/10.1029/2024EF005833.","productDescription":"e2024EF005833, 33 p.","ipdsId":"IP-173968","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005833","text":"Publisher Index Page"},{"id":504476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Alaska, California, Florida, New York","otherGeospatial":"Barter Island, Cabo San Lucas, Cedar Key National Wildlife Refuge, Merrit Island National Wildlife Refuge, Point Reyes National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.88491001760781,\n 69.93310481002823\n ],\n [\n -122.88491001760781,\n 69.68543873810822\n ],\n [\n -121.06916016659827,\n 69.68543873810822\n ],\n [\n -121.06916016659827,\n 69.93310481002823\n ],\n [\n -122.88491001760781,\n 69.93310481002823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.06822524183795,\n 38.19543174003894\n ],\n [\n -123.06822524183795,\n 37.94644042903653\n ],\n [\n -122.82070079378443,\n 37.94644042903653\n ],\n [\n -122.82070079378443,\n 38.19543174003894\n ],\n [\n -123.06822524183795,\n 38.19543174003894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.12177060555926,\n 29.253016615269246\n ],\n [\n -83.12177060555926,\n 29.097809660027494\n ],\n [\n -82.87307439858863,\n 29.097809660027494\n ],\n [\n -82.87307439858863,\n 29.253016615269246\n ],\n [\n -83.12177060555926,\n 29.253016615269246\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.63188940850279,\n 23.47404410351922\n ],\n [\n -110.63188940850279,\n 22.779293589597287\n ],\n [\n -109.21025823793005,\n 22.779293589597287\n ],\n [\n -109.21025823793005,\n 23.47404410351922\n ],\n [\n -110.63188940850279,\n 23.47404410351922\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"plainLanguageSummary":"Producing both detailed and widely available information on how the coast may change in the future is critical for informing proactive strategies that protect communities and places of value. Predicting which areas are likely to become inundated in the future is often a first step; however, understanding other possible changes and where those changes are likely is much more difficult. For example, sea-level rise, storms, and other coastal hazards fundamentally reshape coastal landforms and habitats, such as through the formation of new inlets along beaches or permanent flooding of wetlands. This paper reviews the scientific knowledge, methods, and products currently available to inform what, where, and when future changes might happen, as well as how this information can be developed in coordination with those who need this information to ensure it is useful and meaningful. We also identify challenges that exist in accurately predicting coastal change, opportunities for improvements, and remaining information and data gaps. We conclude by discussing strategies for scientists and intended users to work together across disciplines in a manner that informs research questions and intended products to provide actionable information.
","publicationDate":"2026-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Sara L. 0000-0002-5472-769X","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":222703,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Kate","contributorId":371368,"corporation":false,"usgs":false,"family":"White","given":"Kate","affiliations":[{"id":88123,"text":"U.S. Department of Defense","active":true,"usgs":false}],"preferred":false,"id":961701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wahl, Thomas","contributorId":201471,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","affiliations":[],"preferred":false,"id":961702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stoltz, Amanda D. 0000-0003-4656-6125","orcid":"https://orcid.org/0000-0003-4656-6125","contributorId":311692,"corporation":false,"usgs":true,"family":"Stoltz","given":"Amanda","email":"","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pendleton, Elizabeth A. 0000-0002-1224-4892 ependleton@usgs.gov","orcid":"https://orcid.org/0000-0002-1224-4892","contributorId":174845,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth","email":"ependleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Misra, Shubhra","contributorId":371369,"corporation":false,"usgs":false,"family":"Misra","given":"Shubhra","affiliations":[{"id":88123,"text":"U.S. Department of Defense","active":true,"usgs":false}],"preferred":false,"id":961705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meckley, Trevor D.","contributorId":205787,"corporation":false,"usgs":false,"family":"Meckley","given":"Trevor","email":"","middleInitial":"D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":961706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamlington, Ben","contributorId":287420,"corporation":false,"usgs":false,"family":"Hamlington","given":"Ben","affiliations":[{"id":61575,"text":"NASA JPL CalTech","active":true,"usgs":false}],"preferred":false,"id":961707,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961708,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961709,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961710,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Buckel, Christine A.","contributorId":371370,"corporation":false,"usgs":false,"family":"Buckel","given":"Christine","middleInitial":"A.","affiliations":[{"id":88126,"text":"NOAA Ocean Service","active":true,"usgs":false}],"preferred":false,"id":961711,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70275352,"text":"70275352 - 2026 - Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed","interactions":[],"lastModifiedDate":"2026-04-30T15:24:31.256329","indexId":"70275352","displayToPublicDate":"2026-03-30T10:17:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed","docAbstract":"Rivers continually integrate terrestrial organic matter (OM) into their waters, in a process that transfers 1.9 Pg C yr–1 as the primary linkage between oceanic and terrestrial carbon cycles. Yet rivers are not simple, conservative OM integrators. Patchy local land uses (wetlands, bogs, agriculture) release OM that can disproportionately alter river biogeochemistry and overprint upstream carbon. These releases are quantifiable at the plot scale but remain unpredictable across river reaches and watersheds, critically inhibiting our ability to scale up terrestrial-aquatic linkages to regional/global carbon cycling models. We evaluated OM overprinting distance along a human-influenced watershed to quantify river integration of terrestrial OM and to bridge the quantification gap between habitats and waterway biogeochemistry. We investigated changes in dissolved organic carbon (DOC) concentration and dissolved organic matter (DOM) composition (lignin phenols, fluorescence excitation-emission spectra using parallel factor analysis [PARAFAC], and the relative fraction of optically active DOM [EEMDOC]). DOC concentrations increased continually (p < 0.001) downstream, from median 1.0 mg L–1 at 30 km (headwaters) to 3.3 mg L–1 at the river mouth. This rate of increase corresponded to a DOC overprinting distance—the longitudinal distance over which DOC concentrations double—of 13 km. Mainstem DOC overprinting distance ranged from 8 km (winter, rainy season) to 21 km (summer, dry season with irrigation), highlighting stronger overprinting during increased hydraulic connectivity. Stronger overprinting also correlated to higher EEMDOC (p < 0.001). Overprinting distance effectively quantifies river integration of DOM along the terrestrial-aquatic interface, helping to refine bottom-up carbon cycle estimates, inform upscaling of site-specific fluxes, and to track land use and climate influence on river biogeochemistry.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00067","usgsCitation":"Eckard, R.S., Bergamaschi, B.A., Pellerin, B., Spencer, R.G., Dyda, R.Y., and Hernes, P.J., 2026, Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed: Frontiers in Earth Science, v. 8, 67, 15 p., https://doi.org/10.3389/feart.2020.00067.","productDescription":"67, 15 p.","ipdsId":"IP-099509","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":503792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00067","text":"Publisher Index Page"},{"id":503682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.17140579668515,\n 38.80544920025048\n ],\n [\n -121.67942979897973,\n 38.80544920025048\n ],\n [\n -121.67942979897973,\n 38.48406361726251\n ],\n [\n -122.17140579668515,\n 38.48406361726251\n ],\n [\n -122.17140579668515,\n 38.80544920025048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckard, Robert S.","contributorId":330177,"corporation":false,"usgs":false,"family":"Eckard","given":"Robert","middleInitial":"S.","affiliations":[{"id":78839,"text":"1Department of Land, Air, and Water Resources, University of California, One Shields Ave., Davis, CA, 95616","active":true,"usgs":false}],"preferred":false,"id":960672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":960674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Robert G.","contributorId":370675,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","middleInitial":"G.","affiliations":[{"id":88063,"text":"Florida State Univ.","active":true,"usgs":false}],"preferred":false,"id":960675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dyda, Rachel Y.","contributorId":139732,"corporation":false,"usgs":false,"family":"Dyda","given":"Rachel","email":"","middleInitial":"Y.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275374,"text":"70275374 - 2026 - Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","interactions":[],"lastModifiedDate":"2026-05-01T14:32:54.210945","indexId":"70275374","displayToPublicDate":"2026-03-30T09:29:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1564,"text":"Environmental Science and Pollution Research","active":true,"publicationSubtype":{"id":10}},"title":"Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","docAbstract":"Since establishment of the Clean Air Act in the early 1970s, occurrence of the dense ‘Tule Fog’, historically prevalent throughout winter across California’s Central Valley, has substantially reduced. At the same time, waterfowl body masses have generally increased. Flight is metabolically expensive, and fog visually and navigationally impairs birds in flight, likely causing them to remain aloft for longer than usual periods. If less fog results in less flight and reduced energy expenditure, then fewer winter Tule fog events could contribute to increased body masses of California waterfowl since the mid-1980’s. Therefore, we aimed to assess the relationship between waterfowl flight and fog occurrence/density with historic (1991–93) and modern (2015–23) waterfowl tracking data in the Central Valley of California (CCV). Historic tracking data showed that the probability of flight increased with increasing fog density. Birds were significantly more likely to fly in fog than when there was no fog and most likely to fly in heavy fog. Modern data showed similar responses to fog with flight occurring significantly more during dawn fog events. This relationship between improved waterfowl body mass and fewer fog events may provide an opportunity to redirect scarce funding to focus on other population requirements such as improving habitats for nesting, molting and brood rearing that are currently lacking. Unanticipated benefits of the Clean Air Act should stand as a strong recommendation to maintaining this Act into the future.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11356-026-37659-2","usgsCitation":"McDuie, F., Overton, C.T., Lorenz, A.A., Donnelly, J.P., Mackell, D.A., Matchett, E., Petrie, M.J., and Casazza, M.L., 2026, Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act: Environmental Science and Pollution Research, v. 33, p. 6095-6104, https://doi.org/10.1007/s11356-026-37659-2.","productDescription":"10 p.","startPage":"6095","endPage":"6104","ipdsId":"IP-174620","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504160,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11356-026-37659-2","text":"Publisher Index Page"},{"id":504061,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UBHN2","text":"USGS data release","linkHelpText":"Waterfowl Tracking VHF and GPS Data 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Patrick","contributorId":370783,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.","middleInitial":"Patrick","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackell, Desmond A.","contributorId":370784,"corporation":false,"usgs":false,"family":"Mackell","given":"Desmond","middleInitial":"A.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":960768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":960770,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Casazza, Michael L. 0000-0002-5636-735X","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":370785,"corporation":false,"usgs":false,"family":"Casazza","given":"Michael","middleInitial":"L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":960771,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70276260,"text":"70276260 - 2026 - Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie","interactions":[],"lastModifiedDate":"2026-05-21T14:28:36.681695","indexId":"70276260","displayToPublicDate":"2026-03-30T09:20:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie","docAbstract":"Early detection and monitoring are critically important for effective management of invasive species in the Laurentian Great Lakes. Specifically, Lake Erie is at high-risk for aquatic invasive species introductions due to many factors such as shoreline development, warm water temperatures, and transoceanic shipping traffic. Rare species captured are often used as a surrogate to assess sampling effectiveness for new or rare invasive species in vulnerable areas, such as Maumee and Sandusky bays of western Lake Erie. We compared species catches from multiple larval fish collection methods to those from adult and juvenile fish sampling. The specific objectives of this study were to: 1) evaluate the effectiveness of larval fish sampling for aquatic invasive species early detection in two bays of western Lake Erie: Maumee Bay and Sandusky Bay; 2) evaluate the effectiveness of passive and active sampling techniques at capturing different larval fish taxa; and 3) compare effectiveness of larval sampling techniques to juvenile and adult fish sampling methods for detecting new and rare species. While no new non-native species were captured during the study, we found that larval fish sampling techniques were not effective for detecting new or rare species but could be used with other life-stage sampling. Active sampling with bongo nets was more effective than light trap sampling, capturing a higher number of individuals and taxa. Juvenile and adult fish sampling methods provided higher precision in fish identification without the use of genetic tools. Because of the finer taxonomic resolution possible when identifying juvenile and adult fishes, sampling for adult and juveniles was found to be more robust and reliable for early detection of new and rare species compared to larval fish sampling. However, larval fish sampling can still be appropriate depending on study goals and objectives or as emerging technologies allow for greater taxonomic resolution of sampled fish.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2026.17.2.06","usgsCitation":"Bowser, J.L., VanScoyoc, H.N., DeBruyne, R.L., and Briggs, A.S., 2026, Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie: Management of Biological Invasions, v. 17, no. 2, p. 307-323, https://doi.org/10.3391/mbi.2026.17.2.06.","productDescription":"17 p.","startPage":"307","endPage":"323","ipdsId":"IP-171304","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2026.17.2.06","text":"Publisher Index Page"},{"id":504596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Maumee Bay, Sandusky Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.07569836418517,\n 41.5406832\n ],\n [\n -82.6540816,\n 41.5406832\n ],\n [\n -82.6540816,\n 41.40441006985671\n ],\n [\n -83.07569836418517,\n 41.40441006985671\n ],\n [\n -83.07569836418517,\n 41.5406832\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.52857590080069,\n 41.8391693\n ],\n [\n -83.2953354,\n 41.8391693\n ],\n [\n -83.2953354,\n 41.66812739989777\n ],\n [\n -83.52857590080069,\n 41.66812739989777\n ],\n [\n -83.52857590080069,\n 41.8391693\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowser, Jessica L.","contributorId":371449,"corporation":false,"usgs":false,"family":"Bowser","given":"Jessica","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanScoyoc, Haley N","contributorId":371450,"corporation":false,"usgs":false,"family":"VanScoyoc","given":"Haley","middleInitial":"N","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Andrew S.","contributorId":371451,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","middleInitial":"S.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274700,"text":"70274700 - 2026 - Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","interactions":[],"lastModifiedDate":"2026-04-20T15:59:51.168535","indexId":"70274700","displayToPublicDate":"2026-03-29T09:34:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23787,"text":"Environmental Science and Technology.","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","docAbstract":"The increasing activity of wildland–urban interface (WUI) fires has raised concerns regarding the potential environmental and human health impacts of residual ash remaining after burning. In this study, we investigated the concentration and speciation of titanium in WUI fire ash. Total titanium concentrations in WUI fire ash ranged from 0.53 to 80 g kg–1. Synchrotron-based macro- and microscale X-ray absorption near-edge structure (XANES and μXANES, respectively) spectroscopy were used to quantify the relative abundance of major Ti phases in the fire ash, and the results were corroborated by high resolution-transmission electron microscopy (HR-TEM) measurements. Rutile (α-TiO2), anatase (β-TiO2), ilmenite (FeTiO3), and titanium(III) oxide (Ti2O3) were detected in all 20 ashes investigated by XANES and accounted for 0.26–0.83, 0.19–0.83, 0.33, and 0.17–0.72 of the spectral weight, respectively. Deeper analysis by μXANES of one sample demonstrated that Ti-bearing particles occurred as a mixture of rutile (α-TiO2), anatase (β-TiO2), ilmenite (FeTiO3), and titanium(III) oxide Ti2O3, with the absence of a pure Ti2O3 phase. The presence of Ti2O3 in the WUI fire ash is ascribed to the reduction of rutile and anatase to Magnéli titania (TinO2n–1, n = 4–9), which is estimated to be the dominant phase of titanium in the 20 WUI fire ashes investigated by XANES. The occurrence of Magnéli titania was corroborated by HR-TEM. Our findings demonstrate the impact of WUI fires on titanium speciation; fires convert titanium dioxides (e.g., rutile and anatase) to reduced titanium phases (e.g., Magnéli titania). Based on HR-TEM analyses, most of the titanium-bearing particles were less than 500 nm in size. Magnéli particles have been shown to be more toxic than rutile and anatase and have been linked to reduced lung function. Therefore, this study provides critical insights into the pollution characteristics and potential health risks of WUI fire ashes and associated particles, which are currently poorly understood.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c09885","usgsCitation":"Baalousha, M., Desmau, M., Colina-Ruiz, R.A., Lanzirotti, A., Singerling, S., Stern, M.A., and Alpers, C.N., 2026, Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes: Environmental Science and Technology., v. 60, no. 14, p. 10982-10990, https://doi.org/10.1021/acs.est.5c09885.","productDescription":"9 p.","startPage":"10982","endPage":"10990","ipdsId":"IP-181072","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502227,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274700/full"},{"id":502228,"rank":3,"type":{"id":31,"text":"Publication 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Puerto Rico determined from strontium isotopes and mixing models","docAbstract":"Sediment outflow from streams to coastal regions can adversely affect water quality and the health of ecosystems including Puerto Rico's southwestern carbonate platform with shallow marine communities. Knowledge of sediment provenance and erosional areas would aid effective restoration to reduce excessive sedimentation. Strontium (Sr) isotopic ratios (87Sr/86Sr) can be used to differentiate between sediment eroded into streams from different lithologies, or rock types, and used in mixing models to estimate proportions of source materials in downstream mixtures. The goal of this study was to use Sr isotopes to differentiate between river sediments in drainages with distinct geologies and present a case study where Sr isotope mixing models are used to identify sediment sourcing to Río Loco and Bahía de Guánica, a priority watershed of the U.S. Coral Reefs Task Force. For the Río Loco watershed, model results indicate that serpentinites in the uplands contributed approximately 71 % of sediment to Bahía de Guánica. About 21 % of sediment was from trachy-andesitic basalts in the foothills, and the remaining 8 % originated from sources on the coastal plain. Neither the uppermost headwater region of Río Loco, the Canal Principal De Riego Valle De Lajas, nor the tributary Quebrada Susúa appeared to be significant sources of sediment to Río Loco's mainstem or Bahía de Guánica at the time of the study. Our results demonstrate that sediment from the serpentinite-bearing areas of Río Loco watershed was effectively transported to the lowlands, which then discharge into Guánica Bay, and highlight the potential use of Sr isotopes as tracers of sediment provenance. This will, in turn, enable better science-based restoration efforts aimed at reducing terrestrial sediment erosion and impacts to marine ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2025.106591","usgsCitation":"Reyes, A.O., Takesue, R.K., and Storlazzi, C.D., 2026, Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models: Applied Geochemistry, v. 203, 106591, 14 p., https://doi.org/10.1016/j.apgeochem.2025.106591.","productDescription":"106591, 14 p.","ipdsId":"IP-153461","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2025.106591","text":"Publisher Index Page"},{"id":502778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"southwest Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.0750417291512,\n 18.053791883414306\n ],\n [\n -67.0750417291512,\n 17.914150551211762\n ],\n [\n -66.89154889897623,\n 17.914150551211762\n ],\n [\n -66.89154889897623,\n 18.053791883414306\n ],\n [\n -67.0750417291512,\n 18.053791883414306\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reyes, Aaron O.","contributorId":369902,"corporation":false,"usgs":false,"family":"Reyes","given":"Aaron","middleInitial":"O.","affiliations":[{"id":52630,"text":"Westfield State University","active":true,"usgs":false}],"preferred":false,"id":959348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":214915,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274248,"text":"ofr20261068 - 2026 - Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania","interactions":[],"lastModifiedDate":"2026-04-03T17:28:39.825034","indexId":"ofr20261068","displayToPublicDate":"2026-03-27T14:15:00","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":"2026-1068","displayTitle":"Data-Collection Methods for Total Dissolved Gases Monitoring, Youghiogheny River at Dam Outlet Tunnel Near Confluence, Pennsylvania","title":"Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania","docAbstract":"Supersaturation of total dissolved gases (TDG) can potentially occur in the tailrace water at the Youghiogheny River at dam outlet tunnel near Confluence, Pennsylvania (U.S. Geological Survey [USGS] streamgaging and monitoring station 03077100). The USGS, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report TDG saturation data in the tailrace below the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Data are collected from June 1 through November 30 of each year, and these data are used by the U.S. Army Corps of Engineers to guide management of the dam outflow. Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at USGS station 03077100 are presented in this report. The TDG data are publicly available in the USGS National Water Information System database.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261068","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Pittsburgh District","usgsCitation":"Ruddy, A.J., Woodward, E.E., and Casile, G.C., 2026, Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania: U.S. Geological Survey Open-File Report 2026–1068, 14 p., https://doi.org/10.3133/ofr20261068.","productDescription":"Report: v, 14 p.; Dataset","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164097","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":502175,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119335.htm","linkFileType":{"id":5,"text":"html"}},{"id":501320,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"- USGS 03077100 Youghiogheny R at dam outlet tunnel nr Confluence, in USGS water data for the Nation"},{"id":501319,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1068/images/"},{"id":501318,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1068 XML"},{"id":501317,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261068/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1068 HTML"},{"id":501316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.pdf","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1068 PDF"},{"id":501315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1068/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Confluence","otherGeospatial":"Youghiogheny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.35338805072584,\n 39.814823121451155\n ],\n [\n -79.37828904728073,\n 39.814823121451155\n ],\n [\n -79.37828904728073,\n 39.79172700829372\n ],\n [\n -79.35338805072584,\n 39.79172700829372\n ],\n [\n -79.35338805072584,\n 39.814823121451155\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report total dissolved gases (TDG) saturation data in the tailrace (a channel or pool below a dam where water from the dam is discharged) of the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at U.S. Geological Survey station 03077100 are presented in this report.
","publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruddy, Allan J. 0009-0000-3506-7385","orcid":"https://orcid.org/0009-0000-3506-7385","contributorId":367237,"corporation":false,"usgs":true,"family":"Ruddy","given":"Allan","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casile, Gerolamo C. 0000-0002-7952-6421","orcid":"https://orcid.org/0000-0002-7952-6421","contributorId":202479,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":957162,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275369,"text":"70275369 - 2026 - The state of the giant sequoias: Losses, risks, and opportunities","interactions":[],"lastModifiedDate":"2026-05-01T14:28:12.366691","indexId":"70275369","displayToPublicDate":"2026-03-27T09:11:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The state of the giant sequoias: Losses, risks, and opportunities","docAbstract":"Giant sequoias, an iconic tree found only in a narrow band along the western slope of the Sierra Nevada of California, are facing unprecedented threats. Despite being adapted to fire and resistant to both drought and insect attack, the species has exhibited signs of vulnerability to these stressors in recent years, with the most substantial impacts coming from wildfire. Recently, several unprecedentedly large and severe fires have resulted in the deaths of many large trees and, in some cases, limited postfire regeneration. These impacts have led to heightened efforts by managers to implement treatments to protect those places that are still vulnerable. Here, we provide a comprehensive, range-wide assessment of the condition of the species, including an evaluation of the trends in wildfire and its effects on large giant sequoia mortality and the potential for local extirpation, treatment patterns, and vulnerability to future fire.
From 2015 to 2024, 82% of giant sequoia grove area burned in wildfire, compared to 24% between 1910 and 2014. We conservatively estimate that 17.6% of all large giant sequoias have been killed by wildfire since 1984, with most dying in 2020 and 2021. Due to very severe wildfire, roughly 13% of the range is at some risk of local extirpation due to the loss of mature trees and limited predicted regeneration. Treatment activity has increased since 1995, with treatment type and amount varying by jurisdiction. The combination of treatment and wildfire has created a mosaic of resistance to severe fire, with 26% of grove area at high resistance, 38% at moderate resistance, 2% at low resistance, and 16% having no resistance. The remaining 18% are areas where mature giant sequoia forest was lost due to high severity fire.
Giant sequoias have experienced substantial losses due to recent wildfire, with large areas at risk of grove loss. However, most burned area had lower severity effects, creating opportunities to leverage wildfire as a treatment. When combined with areas of active management, these opportunities can promote giant sequoia conservation in a time of rapid change.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-026-00469-5","usgsCitation":"Shive, K.L., Baker, B., Soderberg, D.N., Hardlund, L.J., Meyer, M.D., Nagelson, P.B., Bisbing, S.M., Das, A., and Stephenson, N.L., 2026, The state of the giant sequoias: Losses, risks, and opportunities: Fire Ecology, v. 22, 30, 24 p., https://doi.org/10.1186/s42408-026-00469-5.","productDescription":"30, 24 p.","ipdsId":"IP-182729","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00469-5","text":"Publisher Index Page"},{"id":503883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1683922,\n 38.9170529\n ],\n [\n -120.2414481,\n 39.6521398\n ],\n [\n -121.3616389,\n 39.4831894\n ],\n [\n -119.9979283,\n 37.2108073\n ],\n [\n -119.1438675,\n 35.9222157\n ],\n [\n -118.0519469,\n 35.2339586\n ],\n [\n -116.8235362,\n 35.4899696\n ],\n [\n -117.3012515,\n 36.4180409\n ],\n [\n -118.215735,\n 37.3242998\n ],\n [\n -119.1212573,\n 38.1168177\n ],\n [\n -120.1683922,\n 38.9170529\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shive, Kristen L.","contributorId":370774,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","middleInitial":"L.","affiliations":[{"id":88071,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":960749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Brianna","contributorId":352616,"corporation":false,"usgs":false,"family":"Baker","given":"Brianna","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":960750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardlund, Linnea J.","contributorId":370775,"corporation":false,"usgs":false,"family":"Hardlund","given":"Linnea","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":960752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Marc D.","contributorId":370776,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","middleInitial":"D.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":960753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagelson, P. Bryant","contributorId":370777,"corporation":false,"usgs":false,"family":"Nagelson","given":"P.","middleInitial":"Bryant","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bisbing, Sarah M.","contributorId":370778,"corporation":false,"usgs":false,"family":"Bisbing","given":"Sarah","middleInitial":"M.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960755,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960756,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960757,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274513,"text":"70274513 - 2026 - DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","interactions":[],"lastModifiedDate":"2026-03-30T14:08:43.374815","indexId":"70274513","displayToPublicDate":"2026-03-27T09:05:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","docAbstract":"The sea lamprey (Petromyzon marinus), a non-native species in the Laurentian Great Lakes, has significantly impacted native fish communities and commercial fisheries, requiring population suppression efforts. While traditional control methods such as lampricides and barriers have reduced sea lamprey population abundance, questions remain regarding sea lamprey dietary composition given the focus of current damage assessments on economically and ecologically important host species. Recent advances in molecular technology offer promising methods of sea lamprey dietary assessment. Specifically, DNA metabarcoding enables species-specific identification of taxonomically diverse prey items from gut and fecal samples, and has proven effective in many taxa, including hematophagous species such as Arctic lamprey (Lethenteron camtschaticum) and sea lamprey. However, studies on DNA retention within digestive tracts are limited, particularly given the potential effects of environmental and dietary factors among hematophagous species. We used controlled feeding experiments to understand the effects these factors may have on DNA retention and host detectability within sea lamprey digestive tracts. Additionally, we evaluated the utility of metabarcoding for identifying multiple host species from consecutive feedings. Results indicate that host DNA can be detected up to 30 days post-feeding, with detection probability decreasing with increasing time following feeding. Temperature effects were dependent upon fasting periods, and host-switching trials indicated multiple previous host species could be detected from a single lamprey. Findings provide valuable insights for refining dietary analysis protocols for wild-caught sea lamprey within native and introduced ranges.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70268","usgsCitation":"O'Kane, C., Johnson, N.S., Scribner, K.T., Kanefsky, J., Li, W., Bruning, T., and Robinson, J.D., 2026, DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments: Environmental DNA, v. 8, no. 2, e70268, 11 p., https://doi.org/10.1002/edn3.70268.","productDescription":"e70268, 11 p.","ipdsId":"IP-184313","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70268","text":"Publisher Index Page"},{"id":501787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Kane, Conor","contributorId":360151,"corporation":false,"usgs":false,"family":"O'Kane","given":"Conor","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scribner, Kim T.","contributorId":368904,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, John D.","contributorId":368907,"corporation":false,"usgs":false,"family":"Robinson","given":"John","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}