Wildlife management in the United States of America (US) is primarily delegated to the individual states wherein state wildlife agencies manage wildlife populations to achieve multiple and sometimes conflicting objectives. White-tailed deer (Odocoileus virginianus) are an important species in the Midwestern US whose populations are primarily managed through recreational hunting. Managers aim to adjust populations by altering the harvest of antlerless (usually female) animals by changing the number of harvest permits available, hunting season lengths, or applying incentive programs like earn-a-buck, where a hunter must harvest an antlerless deer before they may harvest an antlered deer. We estimated the effect on antlerless deer harvest from changes in these regulations and changes in the number of licensed hunters across eight states in the Midwest. We used a Bayesian hierarchical model to estimate individual state and regional (i.e., across all states) effects. We found that increasing antlerless harvest permits increased antlerless harvest; however, this effect plateaued as the number of available permits increased. Providing unlimited harvest permits increased harvest, but the same increases were achieved by minimally increasing the number of limited harvest permits. Increasing the length of hunting season had a generally positive effect on antlerless harvest but the effect was non-linear and state dependent. The earn-a-buck incentive program resulted in the largest estimated increase in harvest. Finally, the number of licensed deer hunters in a state had a strong positive effect on the number of antlerless deer harvested. Our findings show that commonly applied changes in harvest regulations have a weak effect on the number of antlerless deer harvested, highlighting the challenges facing deer managers in the Midwestern US.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0324708","usgsCitation":"Draper, J., Brandell, E., Isabelle, J., Jacques, C., McCoy, C., Michel, E., Storm, D., Ott-Conn, C., Wojcik, B., Turner, W.C., and Walsh, D.P., 2025, Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.: PLoS ONE, v. 20, no. 6, e0324708, 16 p., https://doi.org/10.1371/journal.pone.0324708.","productDescription":"e0324708, 16 p.","ipdsId":"IP-174116","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0324708","text":"Publisher Index Page"},{"id":492150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, 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The development and adaptation of equipment and techniques at this location became the foundation of USGS streamgaging methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip253","usgsCitation":"Bunch, C.E. and Riskin, M.L., 2025, U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500): U.S. Geological Survey General Information Product 253, https://doi.org/10.3133/gip253.","productDescription":"1 p.","onlineOnly":"Y","ipdsId":"IP-173786","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489509,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/253/gip253.pdf","text":"Report","size":"719 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 253"},{"id":489508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/253/coverthb.jpg"}],"country":"United States","state":"New Mexcio","city":"Embudo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.95294116853054,\n 36.21108389143059\n ],\n [\n -105.96424309566731,\n 36.209667097572975\n ],\n [\n -105.96925553227872,\n 36.201629529647946\n ],\n [\n -105.95884754288156,\n 36.204643715877324\n ],\n [\n -105.95294116853054,\n 36.21108389143059\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"National Streamgage Networks Coordinator
Observing Systems Division
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U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
California's Central Valley is increasingly vulnerable to winter floods. A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular observation of surface water extents with optical satellite imagery. In this study, we leveraged the daily resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data to create a continuous series of monthly Dynamic Surface Water Extent (DSWEmod) images across the Central Valley from January 2003 to January 2023. We used the timeseries to assess the climatic driving forces of winter (Oct–April) surface water variability at sub-basin and pixel scales. At the sub-basin scale, we evaluated the influences of winter precipitation, occurrence of atmospheric rivers, and antecedent soil moisture on monthly surface water extents and found that the greatest correspondence occurs in mid-winter (Dec–Feb); in contrast, non-precipitation drivers such as water management play a stronger role in autumn and spring. The pixel-level analysis identified the probabilities of precipitation-driven surface water occurrences in the Sacramento basin are highest along rivers, conveyance channels, and floodways, with higher probabilities under wetter antecedent soil moisture conditions. Precipitation-driven surface water occurrences are also common in leveed areas and outside flood boundaries designated by state and federal agencies where exposure of structures to inundation was larger in terms of their value. Finally, areas with more frequent precipitation-driven flooding have poor recharge potential but are commonly within 5 km of areas classified as having good potential. This study demonstrates a novel approach for exploring the utility of MODIS for understanding surface water dynamics in mid-winter, a period characterized by peak precipitation, flood risk, and surface water extent. This information can provide valuable insights for (1) assessing flood risks for infrastructure and populations, (2) identifying areas most suited to strategic water management investments to increase recharge, and (3) analyzing precipitation thresholds that trigger flooding to allow proactive water management strategies to minimize damage and maximize recharge.
","language":"English","publisher":"Wiley","doi":"10.1111/jfr3.70080","usgsCitation":"Albano, C.M., Soulard, C.E., Minor, B., Walker, J., Smith, B.W., Waller, E.K., Bartles, M., Corringham, T., O'Geen, A., Rohde, M., and Wein, A., 2025, Assessing causes and consequences of winter surface water dynamics in California’s Central Valley using satellite remote sensing: Journal of Flood Risk Management, v. 18, no. 2, e70080, 14 p., https://doi.org/10.1111/jfr3.70080.","productDescription":"e70080, 14 p.","ipdsId":"IP-174164","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491009,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfr3.70080","text":"Publisher Index Page"},{"id":489692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central 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variation","interactions":[],"lastModifiedDate":"2025-06-20T14:33:11.624655","indexId":"70268298","displayToPublicDate":"2025-06-03T09:30:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation","docAbstract":"Biodiversity and its associated genetic diversity are being lost at an unprecedented rate. Simultaneously, the distributions of flora, fauna, fungi, microbes and pathogens are rapidly changing. Novel technology can help to capture and record genetic diversity before it is lost and to measure population shifts and pathogen distributions. Here we report the rapid application of shotgun long-read environmental DNA (eDNA) analysis for non-invasive biodiversity, genetic diversity and pathogen assessments from air. We also compared air eDNA with water and soil eDNA. Coupling long-read sequencing with established cloud-based biodiversity pipelines enabled a 2-day turnaround from airborne sample collection to completed analysis by a single investigator. To determine the full utility of airborne eDNA, we also conducted a local bioinformatic analysis and deep short-read shotgun sequencing. From outdoor air eDNA alone, comprehensive genetic analysis was performed, including population genetics (phylogenetic placement) of a charismatic mammal (bobcat, Lynx rufus) and a venomous spider (golden silk orb weaver, Trichonephila clavipes), and haplotyping humans (Homo sapiens) from natural complex community settings, such as subtropical forests and temperate locations. The rich datasets also enabled deeper analysis of specific species and genomic regions of interest, including viral variant calling, human variant analysis and antimicrobial resistance gene surveillance from airborne DNA. Our results highlight the speed, versatility and specificity of pan-biodiversity monitoring via non-invasive eDNA sampling using current benchtop/portable and cloud-based approaches. Furthermore, they reveal the future feasibility of scaling down (equipment and temporally) these approaches for near real-time analysis. Together these approaches can enable rapid simultaneous detection of all life and its genetic diversity from air, water and sediment samples for unbiased non-targeted information-rich genomics-empowered (1) biodiversity monitoring, (2) population genetics, (3) pathogen and disease-vector genomic surveillance, (4) allergen and narcotic surveillance, (5) antimicrobial resistance surveillance and (6) bioprospecting.
","language":"English","publisher":"Nature","doi":"10.1038/s41559-025-02711-w","usgsCitation":"Nousias, O., Mccauley, M., Stammnitz, M., Farrell, J.A., Koda, S., Summers, V., Eastman, C., Duffy, F., Duffy, I., Whilde, J., and Duffy, D.J., 2025, Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation: Nature Ecology & Evolution, v. 9, no. 6, p. 1043-1060, https://doi.org/10.1038/s41559-025-02711-w.","productDescription":"18 p.","startPage":"1043","endPage":"1060","ipdsId":"IP-163401","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41559-025-02711-w","text":"Publisher Index 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G.","contributorId":357088,"corporation":false,"usgs":false,"family":"Duffy","given":"Fiona G.","affiliations":[{"id":85334,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA","active":true,"usgs":false}],"preferred":false,"id":940726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duffy, Isabelle J.","contributorId":357089,"corporation":false,"usgs":false,"family":"Duffy","given":"Isabelle J.","affiliations":[{"id":85335,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA.","active":true,"usgs":false}],"preferred":false,"id":940727,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whilde, Jenny","contributorId":357090,"corporation":false,"usgs":false,"family":"Whilde","given":"Jenny","affiliations":[{"id":85335,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA.","active":true,"usgs":false}],"preferred":false,"id":940728,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duffy, David J.","contributorId":340574,"corporation":false,"usgs":false,"family":"Duffy","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":940729,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269296,"text":"70269296 - 2025 - New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon","interactions":[],"lastModifiedDate":"2025-07-18T14:34:21.386482","indexId":"70269296","displayToPublicDate":"2025-06-03T09:27:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon","docAbstract":"Understanding population genetic structure and patterns of gene flow is important for effective decision making and the preservation of genetic diversity, especially when managing protected species. Historically, Gulf sturgeon have been managed by river system, with early evidence supporting spatially distinct genetic structure across 7 natal populations. However, an increasing number of studies recognize that some rivers possess 2 genetically distinct sturgeon stocks residing within the same drainage. This, combined with evidence of both spring and fall spawning events within these drainages, suggests the distinction between these stocks may be temporally mediated, as similarly exhibited by the closely related Atlantic sturgeon. We analyzed the movements of 136 Gulf sturgeon within the Suwannee River, Florida, USA, between 2008 and 2022 using acoustic telemetry. We assessed migratory patterns and presence within known spawning habitat to categorize individuals as exhibiting either spring, fall, or unknown spawning behaviors each year. These individuals were also genotyped for 14 microsatellite loci to assign them to a genetic group. Our results reinforce previous work suggesting the presence of 2 genetically distinct stocks in the Suwannee River and indicate this genetic structure is driven by fidelity to temporally distinct spawning events, with one stock spawning in the spring and the other in fall. The delineation of these 2 sympatric stocks, historically managed as one, has management implications for the recovery of this species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01418","usgsCitation":"Price, M.E., Kreiser, B., and Randall, M.T., 2025, New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon: Endangered Species Research, v. 57, p. 289-298, https://doi.org/10.3354/esr01418.","productDescription":"10 p.","startPage":"289","endPage":"298","ipdsId":"IP-167683","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01418","text":"Publisher Index Page"},{"id":492535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Apalachicola River, Ochlockonee River, Suwannee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.5,\n 31.2\n ],\n [\n -85.5,\n 29\n ],\n [\n -82,\n 29\n ],\n [\n -82,\n 31.2\n ],\n [\n -85.5,\n 31.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2025-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Melissa E. 0000-0002-4276-0855 mprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4276-0855","contributorId":5875,"corporation":false,"usgs":true,"family":"Price","given":"Melissa","email":"mprice@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":943382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiser, Brian","contributorId":210007,"corporation":false,"usgs":false,"family":"Kreiser","given":"Brian","affiliations":[{"id":38045,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, MS 39406","active":true,"usgs":false}],"preferred":false,"id":943383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Randall, Michael T. 0000-0001-8805-0886 mrandall@usgs.gov","orcid":"https://orcid.org/0000-0001-8805-0886","contributorId":3127,"corporation":false,"usgs":true,"family":"Randall","given":"Michael","email":"mrandall@usgs.gov","middleInitial":"T.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":943384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268776,"text":"70268776 - 2025 - Long-term surgery survival, body condition effects, and incision healing of Silver Carp and buffalo species comparing sedation methods across seasons","interactions":[],"lastModifiedDate":"2025-08-04T15:55:57.902628","indexId":"70268776","displayToPublicDate":"2025-06-03T09:25:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21984,"text":"Transactions of the American Fishery Society","active":true,"publicationSubtype":{"id":10}},"title":"Long-term surgery survival, body condition effects, and incision healing of Silver Carp and buffalo species comparing sedation methods across seasons","docAbstract":"Internal tagging for telemetry studies requires invasive surgery procedures, necessitating sufficient sedation to support animal welfare. Challenges with existing chemical sedatives have resulted in technological alternatives, including electrosedation, with these newer methods less extensively studied. Our primary objective was to understand long-term survival, body-condition effects, and incision healing after surgical implantation of an imitation telemetry transmitter under three different sedation techniques.
We collected Silver Carp Hypophthalmichthys molitrix and buffalo Ictiobus spp. from the Missouri River watershed in 2022 and 2023, during each of the four seasons. One of three sedation techniques was applied: electric fish handling gloves, tricaine methanesulfonate (MS-222), and eugenol. Additionally, we observed a group of fish that were unsedated but subjected to handling similar to that experienced during surgery. Fish were monitored to determine the effects of treatment, individual characteristics, surgery characteristics, and time-varying environmental factors on survival, body condition, and incision healing over 69- to 85-d holding periods.
Long-term survival was higher for buffalo (86%) than Silver Carp (57%), with the fewest mortalities during the winter trial and most in summer, but sedation treatment did not affect survival. Smaller fish had a greater risk of mortality but better incision healing. Incision healing scores improved in warmer temperatures.
Difference in seasonal effects on survival and healing indicate a need to consider trade-offs when scheduling tagging for projects. However, a lack of difference in survival among treatments, including the group that was handled but did not undergo surgery, suggests no advantage of one sedative over another, but handling impacts may require more consideration.
Between 2018 and 2023, the U.S. Geological Survey assessed shoreface sediment availability at three Atlantic Coast barrier island study sites in support of a National Fish and Wildlife Foundation project entitled, “Monitoring Hurricane Sandy Beach and Marsh Resilience in New York and New Jersey.” The three study sites are Seven Mile Island, New Jersey, Rockaway Beach peninsula, New York, and Fire Island, N.Y. Previously interpreted geologic boundaries from shoreface geophysical surveys and data from repeat bathymetric surveys at each of the study sites were integrated to quantify the active sediment volume, or the volume of sediment that could contribute to beach and shoreline behavior over annual to decadal time scales. This report describes the methods used to calculate these volumes and the variability of active sediment volume for each survey at the three study sites. Our data show that when shoreface volumes account for varying alongshore extent of each study site, Seven Mile Island and Rockaway Beach peninsula have about 1.5 times the active sediment volume measured at Fire Island.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1211","issn":"2771-9448","collaboration":"Prepared in cooperation with the National Fish and Wildlife Foundation","programNote":"Natural Hazards Mission Area Coastal/Marine Hazards and Resources Program","usgsCitation":"Buster, N.A., Miselis, J.L., Wei, E.A., and Forde, A.S., 2025, Assessment of active sand volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey: U.S. Geological Survey Data Report 1211, 19 p., https://doi.org/10.3133/dr1211.","productDescription":"Report: vii, 19 p.; 11 Data Releases","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-164731","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486345,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P07T3W","text":"USGS Data Release","linkHelpText":"- Coastal single-beam 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from Rockaway Peninsula, New York"},{"id":486337,"rank":14,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY4RR0","text":"USGS Data Release","linkHelpText":"- Archive of chirp subbottom profile data collected in 2022 from Seven Mile Island, New Jersey"},{"id":486335,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q8TVHH","text":"USGS Data Release","linkHelpText":"- Archive of chirp subbottom profile data collected in June 2018 from Fire Island, New York"}],"country":"United States","state":"New York, New Jersey","otherGeospatial":"Fire Island, Rockaway Beach, Seven Mile Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.6667,\n 39.1667\n ],\n [\n -74.95334779374377,\n 39.1667\n ],\n [\n -74.95334779374377,\n 39\n ],\n [\n -74.6667,\n 39\n ],\n [\n -74.6667,\n 39.1667\n ]\n ]\n ],\n \"type\": 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}\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
Contact Us- USGS Publications Warehouse
","tableOfContents":"The interplay of disturbance and stability drives vegetation dynamics. Disturbance reduces vegetation biomass, and stability fosters its development. In riparian systems, natural disturbance is largely manifested through flood-driven fluvial processes, but other forms of disturbance, such as herbivory or fire, may influence vegetation dynamics. We studied the successional trajectories of plant communities following a 40-year flood in 2010 that significantly changed floodplain vegetation along the lower Virgin River (southwestern USA). Shortly (0–2 years) after this flood, another large disturbance event of a different nature occurred: extensive defoliation and some mortality of alien Tamarix shrubs (which dominated vegetation cover at that time in the study area) by a biological control beetle. In 2021, we resampled vegetation and topography in 439 plots that we previously monitored in 2010, 2012, 2015, and 2017 along 23 transects across five river reaches. Between 2015 and 2021, stability predominated, with only small floods (1.5- to 3-year) and limited Tamarix defoliation. By 2021, plant communities were converging, but persistent divergences existed and were associated with legacy effects of fluvial disturbance and defoliation. Native Pluchea sericea shrubs had the highest cover across all fluvial landforms. Tamarix partially recovered from defoliation, but only reached similar cover to P. sericea in plots less affected by the 40-year flood. Native Populus fremontii, Prosopis pubescens, and Salix gooddingii trees, and Salix exigua shrubs, remained subordinate. Our study illustrates how successional trajectories in riparian systems depend on the nature and regime of disturbance and its legacy effects on vegetation.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4422","usgsCitation":"González-Sargas, E., Lee, S.R., Perry, L.G., and Shafroth, P., 2025, Legacies of a large flood and biological control on riparian vegetation successional trajectories along a dryland braided river: River Research and Applications, v. 41, no. 5, p. 1169-1185, https://doi.org/10.1002/rra.4422.","productDescription":"17 p.","startPage":"1169","endPage":"1185","ipdsId":"IP-170124","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.19720582198697,\n 37.07102313333917\n ],\n [\n -114.19720582198697,\n 36.74753892653335\n ],\n [\n -113.82726177557198,\n 36.74753892653335\n ],\n [\n -113.82726177557198,\n 37.07102313333917\n ],\n [\n -114.19720582198697,\n 37.07102313333917\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"González-Sargas, Eduardo","contributorId":349720,"corporation":false,"usgs":false,"family":"González-Sargas","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":939064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Laura G.","contributorId":220048,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":939066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267805,"text":"sir20255046 - 2025 - Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","interactions":[],"lastModifiedDate":"2025-06-03T14:45:40.689322","indexId":"sir20255046","displayToPublicDate":"2025-06-02T13:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5046","displayTitle":"Evaluation of Passive Samplers for Cyanotoxin Detection by Immunoassay and Chromatographic-Mass Spectrometry","title":"Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","docAbstract":"Harmful algal blooms, particularly cyanobacterial harmful algal blooms, threaten aquatic ecosystems, drinking water supplies, and recreational resources. In 2019, the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, deployed solid phase adsorption toxin tracking (SPATT) samplers in Seneca Lake, Owasco Lake, and Skaneateles Lake to monitor the cyanotoxins microcystins, cylindrospermopsins, anatoxins, and saxitoxins. SPATT samplers can passively adsorb dissolved cyanotoxins over time, providing time-integrated data capable of detecting low concentrations of cyanotoxins that traditional discrete sampling may miss. SPATT samples were analyzed using enzyme-linked immunosorbent assay (ELISA), liquid chromatography with mass spectrometry (LC–MS), and with tandem mass spectrometry (LC–MS/MS). The effects of ELISA-required preservative on measurements by mass spectrometry methods were also evaluated.
SPATT samplers consistently detected microcystins and anatoxins more frequently than concurrent discrete sampling. ELISA results often showed higher cyanotoxin concentrations than LC–MS/MS, likely due to interference from dissolved organic matter and the ability of ELISA to detect a broader range of congeners. The addition of preservative influenced results for some analytes, particularly microcystins, which showed higher concentrations in preserved samples. Limitations in ELISA methods for cylindrospermopsins and saxitoxins were identified, potentially related to cross-reactivity, low sensitivity, or other matrix interferences. This study demonstrates the utility of SPATT samplers in capturing cyanotoxin variability, especially in environments with low cyanotoxin levels or ephemeral blooms. Further research could help improve the reliability of ELISA and other analytical methods in freshwater ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255046","usgsCitation":"Johnston, B.D., Stouder, M.D.W., Gorney, R.M., Rosen, J.J., Carpenter, K.D., Wei, B., and Boyer, G.L., 2025, Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry: U.S. Geological Survey Scientific Investigations Report 2025–5046, 37 p., https://doi.org/10.3133/sir20255046.","productDescription":"Report: vii, 37 p.; Data Release; Dataset","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155470","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":489336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5046/coverthb.jpg"},{"id":489341,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OZR89E","text":"USGS data release","linkHelpText":"Cyanotoxin concentrations in extracts from solid phase adsorption toxin tracking (SPATT) and diffusive gradients in thin-films (DGT) samplers in Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2019"},{"id":489337,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5046/sir20255046.pdf","text":"Report","size":"3.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5046 PDF"},{"id":489338,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255046/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5046 HTML"},{"id":489340,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5046/images/"},{"id":489342,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":489339,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5046/sir20255046.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5046 XML"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.6117637558914,\n 43.06229154077565\n ],\n [\n -77.6117637558914,\n 42.20716570269167\n ],\n [\n -75.94026793939489,\n 42.20716570269167\n ],\n [\n -75.94026793939489,\n 43.06229154077565\n ],\n [\n -77.6117637558914,\n 43.06229154077565\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
A geometric accuracy assessment of lidar data collected in eastern Iowa in 2019 as part of the 3D Elevation Program (3DEP) was conducted. The assessment involved evaluating interswath accuracy, same surface precision, point density, absolute accuracy, and consistency with adjacent 3DEP datasets. The results demonstrate that the data meet or exceed the quality level 2 specifications outlined in the Lidar Base Specifications (LBS). Interswath and same surface precision values were within specified tolerances, with a root mean square difference of 0.03 meters for interswath vertical accuracy and 0.03 meters for same surface precision. Vertical accuracy in flat areas was excellent, with root mean square error values consistently below 0.10 meters. Horizontal accuracy assessments also showed good agreement between lidar and reference data. Point density generally exceeded the minimum requirement of 2 points per square meter, and the inter-project consistency assessment indicated good agreement between the Iowa lidar data and adjacent datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251017","usgsCitation":"Sampath, A., Irwin, J., and Kropuenske, T., 2025, Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019: U.S. Geological Survey Open-File Report 2025–1017, 16 p., https://doi.org/10.3133/ofr20251017.","productDescription":"Report: v, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":487536,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.XML","text":"XML","size":"90.4 KB","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1017 XML"},{"id":487518,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.pdf","text":"Report","size":"3.15","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1017"},{"id":487511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1017/coverthb.jpg"},{"id":487523,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1017/images"},{"id":487546,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/ofr20251017/full"},{"id":487578,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DI0G64","text":"USGS data release","linkHelpText":"2019 Eastern Iowa topographic lidar validation – USGS field survey data"},{"id":494125,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118628.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.29294140522802,\n 43.01135367569728\n ],\n [\n -93.29294140522802,\n 40.35261453917326\n ],\n [\n -89.92207321354842,\n 40.35261453917326\n ],\n [\n -89.92207321354842,\n 43.01135367569728\n ],\n [\n -93.29294140522802,\n 43.01135367569728\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Landsat Analysis Ready Data (ARD)-based time-series present challenges in monitoring surface urban heat islands (SUHI) due to rapid changes in land surface temperature (LST) compared to cloud-free satellite observations. This research investigates the use of a spatiotemporal gap-filling model as a feasible and cost-effective solution to produce Landsat time-series LST products with both high spatial resolution and temporal frequency. The study identified and filled Landsat ARD thermal times-series data gaps due to missing data, cloud and shadow effects, and data quality. The accuracy of Landsat gap-filled products was assessed using randomly selected clear observations of Landsat and uncertainty products from the gap-filling model and was evaluated using various existing temperature datasets, including climate data from NOAA Global Historical Climate Network station observations, Daily Surface Weather and Climatological Summaries (DAYMET), and LST including MODIS, VIIRS and ECOSTRESS. The result suggests that the gap-filled Landsat LST has significant correlations with existing datasets including field observation and remote sensing data derived from other sensors that have similar monthly and seasonal variation patterns. The uncertainty maps show spatial distributions of uncertainty for gap-filled pixels that have high or low uncertainties. The Landsat gap-filled time-series datasets can be used to measure annual, seasonal, or even monthly landscape thermal conditions, which are useful for SUHI and relevant research, and to perform multi-decade time-series LST change analysis under climate change conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2025.2505254","usgsCitation":"Shi, H., and Xian, G.Z., 2025, Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets: International Journal of Remote Sensing, v. 46, no. 12, p. 4559-4582, https://doi.org/10.1080/01431161.2025.2505254.","productDescription":"24 p.","startPage":"4559","endPage":"4582","ipdsId":"IP-160289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":939092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267826,"text":"70267826 - 2025 - Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","interactions":[],"lastModifiedDate":"2025-06-23T15:24:34.127021","indexId":"70267826","displayToPublicDate":"2025-06-02T09:01:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","docAbstract":"Managing per- and polyfluoroalkyl substances (PFAS) in water resources requires a basin-scale approach. Predicted environmental concentrations (PEC) and stream-vulnerability scores for PFAS were determined for the Potomac River watershed in the eastern United States. Approximately 15% of stream reaches contained municipal and/or industrial wastewater treatment plant (WWTP) discharges that are presumptive PFAS sources, comprising from <1 to >90% of streamflow. Mean annual PEC, based on the summed concentrations of eight PFAS detected in WWTP effluents (ΣPFASPEC), for all stream reaches in the watershed was 3.8 ng L–1, and stream reaches impacted by WWTP had perfluorooctanoate (PFOA) and perfluorooctanesulfonate (PFOS) PEC of 0.39 and 0.14 ng L–1. For locations where measured-environmental concentrations (MEC) were determined, municipal and industrial WWTP contributed 7.8% (0 to 65%) of the total annual streamflow and MEC were greater than PEC in 99% of the samples, indicating additional potential PFAS sources. The mean ΣPFASPEC was 9.1 ng L–1 compared to a mean sum of PFAS MEC of 34 ng L–1. Under mean-August low-flow, 17% and 9.4% of the water-supply intakes had maximum PFOA and PFOS PEC exceeding drinking water maximum contaminant levels.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12167","usgsCitation":"Barber, L., Miller, S.A., Blaney, L., Bradley, P., Faunce, K.E., Fleck, J., Frick, M., He, K., Hollins, R., Lewellyn, C., Majcher, E.H., McAdoo, M.A., and Smalling, K., 2025, Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach: Environmental Science and Technology, v. 59, no. 23, p. 11720-11734, https://doi.org/10.1021/acs.est.4c12167.","productDescription":"15 p.","startPage":"11720","endPage":"11734","ipdsId":"IP-159910","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":491461,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1021/acs.est.4c12167.","text":"External Repository"},{"id":489484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.39010453967498,\n 38.752691597185276\n ],\n [\n -77.41287188588434,\n 38.37965397161355\n ],\n [\n -76.30362109061913,\n 37.744281422513666\n ],\n [\n -76.21247602177843,\n 37.93634553642505\n ],\n [\n -76.74054284099122,\n 38.365258541059845\n ],\n [\n -77.04066573194639,\n 38.78820834695361\n ],\n [\n -77.39010453967498,\n 38.752691597185276\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":939036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Samuel Adam 0000-0003-4225-1601","orcid":"https://orcid.org/0000-0003-4225-1601","contributorId":333495,"corporation":false,"usgs":true,"family":"Miller","given":"Samuel","email":"","middleInitial":"Adam","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaney, Lee","contributorId":303379,"corporation":false,"usgs":false,"family":"Blaney","given":"Lee","email":"","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":939038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faunce, Kaycee E. 0000-0002-9178-0692","orcid":"https://orcid.org/0000-0002-9178-0692","contributorId":224488,"corporation":false,"usgs":true,"family":"Faunce","given":"Kaycee","email":"","middleInitial":"E.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frick, Malinda 0009-0002-7252-6151","orcid":"https://orcid.org/0009-0002-7252-6151","contributorId":356288,"corporation":false,"usgs":false,"family":"Frick","given":"Malinda","affiliations":[{"id":84946,"text":"MITRE Corporation","active":true,"usgs":false}],"preferred":false,"id":939042,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"He, Ke","contributorId":356296,"corporation":false,"usgs":false,"family":"He","given":"Ke","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":939079,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hollins, Ryan D. 0009-0005-8414-4160","orcid":"https://orcid.org/0009-0005-8414-4160","contributorId":356289,"corporation":false,"usgs":false,"family":"Hollins","given":"Ryan D.","affiliations":[{"id":84946,"text":"MITRE Corporation","active":true,"usgs":false}],"preferred":false,"id":939044,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lewellyn, Conor J. 0000-0001-5635-8683","orcid":"https://orcid.org/0000-0001-5635-8683","contributorId":356290,"corporation":false,"usgs":false,"family":"Lewellyn","given":"Conor J.","affiliations":[{"id":84946,"text":"MITRE Corporation","active":true,"usgs":false}],"preferred":false,"id":939045,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Majcher, Emily H. 0000-0001-7144-6809","orcid":"https://orcid.org/0000-0001-7144-6809","contributorId":203335,"corporation":false,"usgs":true,"family":"Majcher","given":"Emily","middleInitial":"H.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939046,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":939047,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939048,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70267807,"text":"70267807 - 2025 - Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","interactions":[],"lastModifiedDate":"2025-06-03T15:27:01.898775","indexId":"70267807","displayToPublicDate":"2025-06-02T08:22:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","docAbstract":"Contamination of groundwater by oil-field fluids in proximity to oil and gas development has been an issue of concern to water users and regulators given long histories of development and legacy disposal practices. A robust set of geochemical tracers including petroleum hydrocarbon compounds, thermogenic gases, inorganic ion concentrations, stable isotopes, radioactive isotopes, and noble gases were used to assess if oil-field fluids mixed with groundwater near the Midway-Sunset and Buena Vista Oil Fields in California, USA. Results show evidence of mixing of oil-field fluids with groundwater within the study area from either anthropogenic or natural processes. Produced water plumes associated with modern surface disposal facilities, used since the late 1950s, extend up to 1.5 km and currently remain within the boundaries of the oil fields. Plumes associated with earlier routing of produced water down natural drainages and in large retention structures (Midway Basin and Sunset Basin) near the Buena Vista Lake Bed are present in groundwater east of the oil fields. Based on geochemical tracer evidence, aerial imagery, and aerial electromagnetic surveys, these legacy plumes reach the western portion of the Central Valley aquifer system, an important groundwater resource for agricultural and domestic supply. The legacy plume associated with Sunset Basin may further be detected downgradient in deeper groundwater beneath the southern extent of the Buena Vista Lake Bed based on the presence of thermogenic gases and petroleum hydrocarbon compounds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179637","usgsCitation":"Gannon, R., Landon, M.K., Kulongoski, J.T., Stephens, M.J., Ball, L.B., Warden, J.G., Davis, T., Gillespie, J.M., and Cozzarelli, I.M., 2025, Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA: Science of the Total Environment, v. 987, 179637, 21 p., https://doi.org/10.1016/j.scitotenv.2025.179637.","productDescription":"179637, 21 p.","ipdsId":"IP-141782","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":490170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.179637","text":"Publisher Index Page"},{"id":489465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Midway-Sunset and Buena Vista Oil Fields","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.92890453836446,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 35.40767723666424\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"987","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gannon, Riley 0000-0002-1239-1083","orcid":"https://orcid.org/0000-0002-1239-1083","contributorId":205967,"corporation":false,"usgs":true,"family":"Gannon","given":"Riley","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938983,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":938984,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273392,"text":"70273392 - 2025 - Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","interactions":[],"lastModifiedDate":"2026-01-12T15:27:03.527731","indexId":"70273392","displayToPublicDate":"2025-06-02T08:16:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","docAbstract":"Background
Severe fire weather is becoming more common throughout the western United States. Changing conditions demand a better understanding of how prescribed fire treatments perform under extreme burning conditions, including the interactive influence of the age of treatments, vegetation, and fire weather. The Carr Fire of July 2018 burned nearly the entire land area of Whiskeytown National Recreation Area (NRA) under extreme fuel moisture and temperature conditions. Prior to the Carr Fire and since 1997, staff at Whiskeytown NRA treated 23% of the 15,756-ha NRA using large-scale prescribed fire (underburn) treatments ranging in size from 40 to 400 hectares.
Methods
We used simultaneous autoregressive (SAR) models to describe the effects of landscape-scale fuel treatments on wildfire severity under extreme burning conditions and across diverse biophysical settings at Whiskeytown NRA. Because vegetation type and structure are known drivers of fire severity in diverse ecosystems such as at Whiskeytown NRA, we also considered three different sources of vegetation structure data, including a 2006 physiognomic-floristic classification, a 2011 lidar-based forest structure classification, and a 2016 Landfire map of existing vegetation physiognomy-subclass.
Results
The greatest effect on 2018 Carr Fire severity was time since treatment of underburn treatments, but treatment effectiveness on fire severity dissipated rapidly—showing notable effectiveness within 5 years of underburning but virtually no effectiveness beyond 10 years post-treatment. Additional factors related to severity included vegetation structure type, topographic position index, aspect, slope, temperature, and wind gust speed. Model variance explained and model parameters, including the effect of underburn treatments, were similar regardless of the source of vegetation structure data.
Conclusions
Our results show that large-scale underburning treatments can reduce wildfire severity even under extreme fire weather conditions but suggest that frequent maintenance intervals are required to maintain treatment effectiveness ahead of severe wildfire events.
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These programs come at a high cost, and many translocation programs fail to monitor animals after release. Light-footed Ridgway’s rails (Rallus obsoletus levipes) are federally endangered marsh birds endemic to coastal wetlands of southern California and northern Mexico. Juvenile captive-raised light-footed Ridgway’s rails have been released into marshes within their U.S. range for >20 yr, but little effort has been devoted to post-release tracking of their movement and survival. We used satellite GPS transmitters to track survival of 46 juvenile captive-released and 42 juvenile wild-caught light-footed Ridgway’s rails from 2020–2022. Our results suggest that juvenile captive-released rails had lower initial daily survival probability (0.979) compared with that of juvenile wild-caught rails (0.994). Survival probability of captive-released rails increased with time in the wild, matching that of wild birds at about 100 d post-release. Survival of captive-released birds was most influenced by the date birds were released (releases in early summer had the highest survival). Our study emphasizes the importance of post-release monitoring as part of any captive breeding and translocation program and provides important insight into management strategies that may improve captive-released rail survival in the wild.
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A migratory species restricted to riparian habitat for breeding, the flycatcher is present in southern California from May to August. The flycatcher has declined over the last several decades primarily in response to habitat loss, and possibly Brown-headed Cowbird (Molothrus ater) parasitism. This document compiles and analyzes data collected by USGS scientists on population size, distribution, demography, and breeding habitat condition and uses this information to evaluate potential management options and locations relative to several variables including spatial proximity to currently occupied locations, historical occupation, and potential for restoration that would benefit the flycatcher and expand populations. Location-specific management options and habitat restoration opportunities are ranked based on the contribution of each location to promoting regional flycatcher persistence. The results of these analyses can be used by land and resource managers to develop their habitat management projects and priorities and promote flycatcher recovery.
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urban streams in metropolitan Boston, Massachusetts (USA)","docAbstract":"Urban riverine systems are heterogeneous, and the substantial variability in impervious cover, riparian cover, wetlands, and wastewater and stormwater infrastructure affect sources and transport of dissolved organic matter (DOM), of which dissolved organic C (DOC) is a substantial component. An understanding of the quantity, bioavailability, and timing of DOM inputs (a key energy source for food webs and a component of nutrient cycling) to streams within cities can help to better evaluate drivers of DOM variability. We sampled 100 stream sites in the greater Boston (Massachusetts, USA) area spanning a range of land cover, riparian vegetation, stream size, housing and infrastructure age, and sociodemographic characteristics. Water samples collected during 4 seasonal synoptic events in 2021 and 2022 were analyzed for DOC concentration and DOM characteristics (using fluorescence excitation–emission matrices and absorbance spectra). Temporally, we observed more-autochthonous DOM and lower DOC concentrations in the summer, possibly due to low precipitation and streamflow disconnecting streams from humic wetland and soil C sources. Consistent with other studies, we observed that more-urbanized streams had DOM that was less humic and more autotrophic. Higher wetland cover was associated with more-humic, higher-molecular-weight DOM and was the strongest predictor of DOM characteristics, suggesting that managers should consider the impacts of development on DOM, stream ecological functions, and CO2 emissions. Interestingly, except during the very dry summer, sites downstream of combined sewer outfalls showed distinctly higher concentrations of protein-like DOM, suggesting the influence of sewage overflows and highlighting the potential for monitoring wastewater contamination using protein-like DOM. Although sociodemographic variables were not strong predictors of DOM composition, we observed a possible association between lower-income areas with less canopy cover and more-autochthonous DOM and between areas with older housing, more canopy cover, and more-humic DOM. These patterns suggest that equitable repair of wastewater infrastructure and restoration of riparian vegetation is needed.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/736917","usgsCitation":"Quick, A.M., Roy, A.H., Hale, R.L., Hopkins, K.G., Chen, S., and Ortiz Muñoz, L.D., 2025, Spatial and temporal variation in dissolved organic matter in urban streams in metropolitan Boston, Massachusetts (USA): Freshwater Science, v. 44, no. 4, p. 527-545, https://doi.org/10.1086/736917.","productDescription":"19 p.","startPage":"527","endPage":"545","ipdsId":"IP-167467","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494312,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Boston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.97103026486454,\n 42.400979833243895\n ],\n [\n -71.13011407526525,\n 42.400979833243895\n ],\n [\n -71.13011407526525,\n 42.31119619257322\n ],\n [\n -70.97103026486454,\n 42.31119619257322\n ],\n [\n -70.97103026486454,\n 42.400979833243895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Quick, Annika M.","contributorId":359888,"corporation":false,"usgs":false,"family":"Quick","given":"Annika","middleInitial":"M.","affiliations":[{"id":82199,"text":"Virginia Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":946378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":946379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hale, Rebecca L.","contributorId":359890,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","middleInitial":"L.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":946380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Shuo","contributorId":343806,"corporation":false,"usgs":false,"family":"Chen","given":"Shuo","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":946382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ortiz Muñoz, Liz D.","contributorId":359894,"corporation":false,"usgs":false,"family":"Ortiz Muñoz","given":"Liz","middleInitial":"D.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":946383,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268878,"text":"70268878 - 2025 - Pacific island landbird monitoring report, Kalaupapa National Historical Park, 2021","interactions":[],"lastModifiedDate":"2025-07-09T15:03:42.142443","indexId":"70268878","displayToPublicDate":"2025-06-01T09:59:53","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2025/322","title":"Pacific island landbird monitoring report, Kalaupapa National Historical Park, 2021","docAbstract":"In 2021, landbird surveys were conducted at Kalaupapa National Historical Park on the island of Molokaʻi to assess changes in species composition, distribution, and population densities since 2005. Point-transect distance sampling surveys were conducted on six transects at 50 landbird monitoring stations within an 1,834-hectare area. A total of nine landbird species were detected, with the ʻApapane (Himatione sanguinea) the only endemic Hawaiian species detected. Sufficient detections of six species allowed for population density and abundance estimates, which were compared to 2005 estimates using a two-sample z-test. The abundance of ʻApapane declined by 57% to 2,476 ± 729 (SE) birds in 2021 compared to 2005. Population densities of the House Finch (Haemorhous mexicanus), Japanese Bush Warbler (Horornis diphone), Warbling White-eye (Zosterops japonicus), and White-rumped Shama (Copsychus malabaricus) were also lower in 2021 than in 2005, but comparisons were inconclusive. Since 2005, the Red-billed Leiothrix (Leiothrix lutea) irrupted within the survey area to an estimated abundance of 11,088 ± 1,208 birds. The Warbling White-eye was the most abundant species, with an estimated 101,724 ± 11,692 birds. Surveyors failed to detect the Hawaiʻi ʻAmakihi (Chlorodrepanis virens), which has become increasingly rare on Molokaʻi. The federally threatened ʻIʻiwi (Drepanis coccinea) was last seen on Molokaʻi in 2010, further raising concerns about its potential extirpation. The Olomaʻo (Myadestes lanaiensis), an endemic thrush, has not been detected since 1980 and is likely extinct. These findings show the ongoing shift toward non-native bird communities and highlight the challenges of conserving native forest birds amidst widespread avian malaria transmission, introduced predators, and extensive habitat degradation.
","language":"English","publisher":"National Park Service","doi":"10.36967/2313509","usgsCitation":"Judge, S., Smith, L., and Camp, R.J., 2025, Pacific island landbird monitoring report, Kalaupapa National Historical Park, 2021: Science Report NPS/SR-2025/322, viii, 43 p., https://doi.org/10.36967/2313509.","productDescription":"viii, 43 p.","ipdsId":"IP-177686","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":491898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kalaupapa National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.89753648141144,\n 21.126415759494677\n ],\n [\n -156.8938869501612,\n 21.14547826089806\n ],\n [\n -156.91724395016283,\n 21.16113490943785\n ],\n [\n -156.91091809599567,\n 21.17338678368806\n ],\n [\n -156.94376387724816,\n 21.179966075173013\n ],\n [\n -156.96055172099938,\n 21.21217768899173\n ],\n [\n -156.97052710641677,\n 21.21671397164583\n ],\n [\n -156.983908721001,\n 21.209455852486315\n ],\n [\n -156.9897479710015,\n 21.186771930738757\n ],\n [\n -156.9989934501688,\n 21.18223472850586\n ],\n [\n -157.019187523087,\n 21.187225643302867\n ],\n [\n -157.02089063767042,\n 21.181100406190467\n ],\n [\n -157.0048327001693,\n 21.173840537324438\n ],\n [\n -156.9989934501688,\n 21.172706150623128\n ],\n [\n -156.97344673141694,\n 21.17338678368806\n ],\n [\n -156.96760748141645,\n 21.16022732284509\n ],\n [\n -156.95398256474883,\n 21.151378061959306\n ],\n [\n -156.94376387724816,\n 21.148655106056296\n ],\n [\n -156.93962774183112,\n 21.15500859194843\n ],\n [\n -156.91675734599616,\n 21.124373203232025\n ],\n [\n -156.89753648141144,\n 21.126415759494677\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":942463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lauren K. 0000-0003-1783-715X","orcid":"https://orcid.org/0000-0003-1783-715X","contributorId":353538,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":942464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":942465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268290,"text":"70268290 - 2025 - Marsh sediment in translation: A review of sediment transport across a natural tidal salt marsh in northern San Francisco Bay","interactions":[],"lastModifiedDate":"2025-06-20T14:59:02.008185","indexId":"70268290","displayToPublicDate":"2025-06-01T09:54:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Marsh sediment in translation: A review of sediment transport across a natural tidal salt marsh in northern San Francisco Bay","docAbstract":"No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Ubbelohde, M.A., Breakfield, D.B., Hunter, E.A., Loope, K.J., 2025, Improving welfare of captured gopher tortoises (Gopherus polyphemus): Reducing trap time and temperature: Herpetological Review, v. 56, no. 2, p. 141-146.","productDescription":"6 p.","startPage":"141","endPage":"146","ipdsId":"IP-167641","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"56","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ubbelohde, Morgan A.","contributorId":366814,"corporation":false,"usgs":false,"family":"Ubbelohde","given":"Morgan","middleInitial":"A.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breakfield, Derek B.","contributorId":366815,"corporation":false,"usgs":false,"family":"Breakfield","given":"Derek","middleInitial":"B.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":956266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loope, Kevin J.","contributorId":366816,"corporation":false,"usgs":false,"family":"Loope","given":"Kevin","middleInitial":"J.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270431,"text":"70270431 - 2025 - Abundance of ohiʻa-associated ambrosia beetles in two sites with rapid ohiʻa death outbreaks","interactions":[],"lastModifiedDate":"2025-08-19T14:24:29.800936","indexId":"70270431","displayToPublicDate":"2025-06-01T09:21:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5449,"text":"Proceedings of the Hawaiian Entomological Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Abundance of ʻŌhiʻa-associated ambrosia beetles in two sites with rapid ʻŌhiʻa death outbreaks","title":"Abundance of ohiʻa-associated ambrosia beetles in two sites with rapid ohiʻa death outbreaks","docAbstract":"No abstract available.
","language":"English","publisher":"Alaska Nurses Association","usgsCitation":"Damby, D., and Wallace, K.L., 2025, Mount Spurr unrest highlights health risks of volcanic ashfall: Alaska Nurse, v. 76, no. 2, p. 18-21.","productDescription":"2 p.","startPage":"18","endPage":"21","ipdsId":"IP-179549","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":493951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493949,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://aknurse.org/professional-development/#nurse-mag","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Spurr","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.91257316617845,\n 61.645997832444976\n ],\n [\n -152.91257316617845,\n 60.86274915940086\n ],\n [\n -151.39196786211164,\n 60.86274915940086\n ],\n [\n -151.39196786211164,\n 61.645997832444976\n ],\n [\n -152.91257316617845,\n 61.645997832444976\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":945640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":945641,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272105,"text":"70272105 - 2025 - Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","interactions":[],"lastModifiedDate":"2025-11-17T15:16:48.598057","indexId":"70272105","displayToPublicDate":"2025-06-01T09:12:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"displayTitle":"Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","title":"Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","docAbstract":"Thiamine deficiency in lake trout (Salvelinus namaycush) eggs has been linked to early life-stage mortality in the Great Lakes from the 1960s through the 1990s, potentially affecting lake trout recruitment. In response, the U.S. Geological Survey’s Great Lakes Science Center (GLSC), Eastern Ecological Science Center (EESC), and Columbia Environmental Research Center (CERC), and the State University of New York (SUNY) Brockport, in collaboration with partner agencies, initiated a cooperative monitoring program in the late 1990s to assess thiamine concentrations in lake trout eggs. In 2024, egg thiamine concentrations continued to show high variability across sampling sites. No samples with thiamine concentrations below the 4 nmol/g threshold recommended for successful reproduction were observed in Lakes Superior or Huron. In contrast, between 11% and 88% of lake trout sampled from sites in Lakes Michigan, Ontario, Champlain, and the Finger Lakes had egg thiamine concentrations below this critical threshold. Time series data revealed substantial temporal and spatial variation in mean lake trout egg thiamine concentrations across the Great Lakes region.
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Series"},"title":"Effects of climate change on midwestern ecosystems: Eastern North American temperate freshwater marsh, wet meadow and shrubland","docAbstract":"The Eastern North American Temperate Freshwater Marsh, Wet Meadow and Shrubland is a hydrologically dynamic ecosystem highly sensitive to shifts in water availability. Across the Midwest, climate change is expected to intensify two primary stressors, flooding and drought, resulting in increased hydrologic variability that may threaten the persistence of these wetlands. Increased spring precipitation and more frequent extreme rainfall events are projected to cause deeper, longer-lasting inundation, while rising temperatures, reduced snowpack, and heightened evaporative demand are likely to increase the frequency and severity of droughts.
Changes in hydrology may significantly alter both habitat structure and community composition. Physical disturbance from scouring and erosion may intensify, while nutrient and sediment loading from surrounding land uses may lead to eutrophication and terrestrialization. Vegetation zonation is likely to become destabilized under more extreme hydrological conditions, with flood-tolerant or droughtadapted species replacing those with narrower hydrologic tolerances.
The two habitat groups within this broader ecosystem show differing vulnerabilities. The Eastern North American Freshwater Marsh, including both Great Lakes coastal and inland systems, is considered among the most hydrologically dynamic and disturbance-prone wetland types. Vegetation in these marshes is typically stratified along water depth gradients, forming distinct zones that depend on variable hydrology to persist, but deep or prolonged inundation can disrupt this zonation and reduce plant diversity. In contrast, the Midwest Wet Prairie, Wet Meadow and Shrub Swamp, generally lacks persistent surface water and relies on precipitation and snowmelt to maintain seasonal saturation. As a result, this habitat group is especially prone to drying and potentially susceptible to woody encroachment and shifts toward drier-adapted plant communities.
Across both habitat groups, invasive species are expected to gain a competitive edge under future climate conditions. Invasive wetland plants often exhibit high plasticity and can tolerate a wide range of disturbances and hydrologic conditions, allowing them to expand rapidly during both flood and drought periods. Interacting pressures underscore the growing vulnerability of the Eastern North American Temperate Freshwater Marsh, Wet Meadow and Shrubland under future climate scenarios.
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