No abstract available.
","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/31684","collaboration":"University of Alaska Fairbanks Geophysical Institute","usgsCitation":"Dietterich, H., Schaefer, J., Larsen, J., Vallance, J.W., Van Eaton, A.R., and Wallace, K.L., 2025, Makushin Volcano: Recent eruptive history and ash hazards: Alaska Division of Geological & Geophysical Surveys Information Circular 86 v. 2, 2 p., https://doi.org/10.14509/31684.","productDescription":"2 p.","ipdsId":"IP-179272","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":493337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.77136893276906,\n 54.44504537720758\n ],\n [\n -168.72942706013953,\n 54.44504537720758\n ],\n [\n -168.72942706013953,\n 53.13467872883129\n ],\n [\n -165.77136893276906,\n 53.13467872883129\n ],\n [\n -165.77136893276906,\n 54.44504537720758\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":944629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":944630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":944633,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270114,"text":"70270114 - 2025 - Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","interactions":[],"lastModifiedDate":"2025-08-11T15:22:04.615437","indexId":"70270114","displayToPublicDate":"2025-07-01T08:15:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","docAbstract":"Seawater intrusion threatens groundwater resources in coastal regions, including southern Baldwin County, Alabama, where the freshwater-saltwater interface dynamics remain poorly understood. To address this gap, this study uses combined physics-based and machine-learning models to quantify seawater intrusion caused by natural (storm surges) and anthropogenic (human activities) perturbations. The long short-term memory network and wavelet analysis were used to assess vertical aquifer vulnerabilities, revealing that the shallow part of the Coastal lowlands aquifer system (CL1) in the southern Baldwin County region is more susceptible to sea level rise and groundwater extraction than deeper aquifers. Based on these findings, a cross-sectional numerical model (physics approach) for the CL1 aquifer was developed to evaluate tidal and storm surge effects, using Tropical Storm Claudette (June 2021) as a case study. Results showed that tidal fluctuations had a minimal impact on the saltwater-freshwater interface location, whereas storm surges caused substantial inland movement, with effects lasting for nine months. The steady-state version of the three-dimensional (3D) physical model predicted seawater intrusion across the entire area, and convolutional neural network-based modeling further validated the model results. The 3D physical model was also applied to a smaller area to assess human impact on the saltwater interface due to two groundwater pumping scenarios (± 50% of the baseline pumping rate). Results revealed that a 50% increase in groundwater withdrawals caused seawater to advance ~ 320 m inland, whereas a 50% reduction led to a ~ 270-meter retreat. This study highlights the vulnerability of Alabama’s shallow coastal aquifers to seawater intrusion due to storm surges and human activities, and demonstrates that combining physics-based models with machine learning approaches can improve groundwater predictions, though its accuracy depends on the availability of site-specific data.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-06613-6","usgsCitation":"Gholizadeh, H., Clement, T., Green, C., Tick, G.R., Plattner, A., and Zhang, Y., 2025, Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses: Scientific Reports, v. 15, 21699, 18 p., https://doi.org/10.1038/s41598-025-06613-6.","productDescription":"21699, 18 p.","ipdsId":"IP-175082","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":494188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-06613-6","text":"Publisher Index Page"},{"id":493932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Baldwin County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.91513509957319,\n 30.59435431566419\n ],\n [\n -87.91513509957319,\n 30.204167726022206\n ],\n [\n -87.32356119618261,\n 30.204167726022206\n ],\n [\n -87.32356119618261,\n 30.59435431566419\n ],\n [\n -87.91513509957319,\n 30.59435431566419\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gholizadeh, Hossein","contributorId":352234,"corporation":false,"usgs":false,"family":"Gholizadeh","given":"Hossein","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":945513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clement, T. 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Since 2014, multiple large-scale seabird mortality events have occurred in Alaska waters, with STXs detected in some carcasses. To investigate the sublethal behavioral and ecological effects of STX on seabirds, we conducted captive dosing trials with common murres (Uria aalge). We gavaged purified STX (dehydrated STX dihydrocholoride, STX-diHCl) or an Alexandrium catenella culture extract into murres, monitored behavioral responses and recovery times, and assessed tissue concentrations in individuals that died or were euthanized. Using a modified up-and-down dose-finding scheme, we estimated a median effective dose (ED50) of 89 µg STX-equivalents (eq) kg-1 for STX-diHCl and 366 µg STX-eq kg-1 for the A. catenella extract based on ecologically relevant behavior. Differences between the ED50 estimates could reflect uncertainties in toxin equivalency factors for PST congeners, which are based on studies using purified toxins in mice and may vary across taxa or toxin matrices. Post-dosing concentrations of STX varied by tissue type across individuals, with quantifiable levels ranging from 3 to 379 µg STX-eq 100g-1. Evidence of biotransformation of STX in A. catenella extract-dosed birds was observed. We also measured the chronic effects of dosing with sublethal levels of STX-diHCl over seven-days, which resulted in lower fish intake among treatment birds compared to controls (-187 g day-1). This investigation improves our understanding of the ecological effects of PSTs on seabird health.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102919","usgsCitation":"Smith, M.M., Dusek, R.J., Hollmen, T.E., Schoen, S.K., Van Hemert, C.R., Steinmetzer, K., Lee, A., Schlenner, J., Patil, V.P., Hardison, D., Kulis, D., Anderson, D.M., Ridge, C.D., and Hall, S., 2025, Paralytic shellfish toxins and seabirds: Evaluating sublethal effects, behavioral responses, and ecological implications of saxitoxin ingestion by common murres (Uria aalge): Harmful Algae, v. 148, 102919, 13 p., https://doi.org/10.1016/j.hal.2025.102919.","productDescription":"102919, 13 p.","ipdsId":"IP-163602","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":494461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2025.102919","text":"Publisher Index 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mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":946651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":946652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollmen, Tuula 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Ransom","affiliations":[{"id":85953,"text":"NOAA, NCCOS","active":true,"usgs":false}],"preferred":false,"id":946660,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kulis, David","contributorId":360033,"corporation":false,"usgs":false,"family":"Kulis","given":"David","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":946661,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Donald M.","contributorId":360034,"corporation":false,"usgs":false,"family":"Anderson","given":"Donald","middleInitial":"M.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":946662,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ridge, Clark D.","contributorId":360035,"corporation":false,"usgs":false,"family":"Ridge","given":"Clark","middleInitial":"D.","affiliations":[{"id":85955,"text":"US. Food and Drug Administration, Center for Food Safety and Applied Nutrition","active":true,"usgs":false}],"preferred":false,"id":946663,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hall, Sherwood","contributorId":267371,"corporation":false,"usgs":false,"family":"Hall","given":"Sherwood","email":"","affiliations":[{"id":55479,"text":"US Food and Drug Administration, 5001 Campus Drive, College Park, Maryland, 20740, United States (sherwood.hall@fda.hhs.gov)","active":true,"usgs":false}],"preferred":false,"id":946664,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70270162,"text":"70270162 - 2025 - Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","interactions":[],"lastModifiedDate":"2025-08-12T15:04:52.189587","indexId":"70270162","displayToPublicDate":"2025-07-01T07:55:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2773,"text":"Molecular Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey","docAbstract":"Current knowledge of class-I cytokine receptors comes primarily from studies in jawed vertebrates (gnathostomes), and their origin and evolution remain unresolved. In this study, we identified a leptin receptor-like sequence (LepRL) and three interleukin-6 receptor subunit b-like sequences (IL6RBL) from a jawless vertebrate (cyclostome), the sea lamprey (Petromyzon marinus). Based on structural, phylogenetic, and syntenic analyses, we deduced that these lamprey receptors are likely distinct ohnologs to gnathostome LepR and IL6RB-related receptors, respectively, that arose in the two rounds of vertebrate whole-genome duplication (1R and 2R). Notably, lamprey LepRL likely originated from a different 1R progenitor than the one giving rise to gnathostome LepR during cyclostome hexaploidization. Differential patterns in mRNA expression of LepRL and IL6RBLs were observed among adult tissues, during larval metamorphosis, and in response to juvenile feeding. Feeding stimulated hepatic expression of LepRL and IL6RBL (namely, IL6RBL1) mRNAs in correlation with upregulation of insulin-like growth factor mRNA, whereas brain LepRL and IL6RBL1 mRNA expression was correlated positively with neuropeptide Y but inversely with intestinal content in fed juveniles. Notably, these observations along with immunolocalization of LepRL in the hypothalamus suggest a role of leptin signaling in regulating energy balance that is conserved among vertebrates. Additionally, seawater exposure stimulated branchial LepRL expression coincident with increased expression of ion transporters in ionocytes, indicating a role of leptin signaling in osmoregulation. These findings provide new insight into the early evolution of class-I cytokine receptors and reveal diverse functions of the leptin signaling system in jawless vertebrate.
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With dam removals, many biological outcomes remain understudied due to a lack of pre-impact data and complex ecosystem recovery timeframes. To avoid this, we created the KRRP molecular library, an environmental specimen bank, for long-term curation of environmental nucleic acids collected from the restoration project. We used these initial samples, environmental DNA metabarcoding, and generalized linear mixed-effects models to evaluate patterns of pre-dam removal fish richness and diversity. Demonstrating the suitability to resolve biological differences, the baseline shows that tributary and mainstem streams had greater native fish diversity and 2.3–10.7 times greater native fish species richness than reservoirs. These and future sampling efforts should, at a minimum, allow tracking of fish community response to ecosystem restoration. 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\"}}]}","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Tungsten appears on the 2018 and 2022 U.S. Geological Survey critical mineral lists in part because of a very high global production concentration in China, which produces almost 83 percent of the world’s mined tungsten. Using known parameters and values from other tungsten mining operations, we created hypothetical scenarios in which three tungsten deposits in Uzbekistan are considered for development. Our results show that all three deposits are likely to be economically viable to develop under 2024 market conditions. If the three studied tungsten deposits were put into production, Uzbekistan could become the third-leading tungsten-producing country in the world and increase world output of tungsten by 2.7 percent. Putting these tungsten deposits in Uzbekistan into production could slightly reduce the tungsten global market concentration, therefore reducing the supply disruption potential for tungsten.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251032","usgsCitation":"Safirova, E., Golovko, Y., and Dulabova, N., 2025, Analysis of the potential effects of Uzbekistan’s mineral endowment on the critical mineral supply of tungsten: U.S. Geological Survey Open-File Report 1032, 14 p., https://doi.org/10.3133/ofr20251032.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169634","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":491157,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1032/images/"},{"id":491156,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1032 XML"},{"id":491155,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251032/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1032 HTML"},{"id":491154,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1032 PDF"},{"id":491153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1032/coverthb.jpg"}],"country":"Uzbekistan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[66.51861,37.36278],[66.54615,37.97468],[65.216,38.4027],[64.17022,38.89241],[63.51801,39.36326],[62.37426,40.05389],[61.88271,41.08486],[61.54718,41.26637],[60.46595,41.22033],[60.08334,41.42515],[59.97642,42.22308],[58.62901,42.75155],[57.78653,42.17055],[56.93222,41.82603],[57.09639,41.32231],[55.96819,41.30864],[55.92892,44.99586],[58.50313,45.5868],[58.68999,45.50001],[60.23997,44.78404],[61.05832,44.40582],[62.0133,43.50448],[63.18579,43.65007],[64.90082,43.72808],[66.09801,42.99766],[66.02339,41.99465],[66.51065,41.98764],[66.71405,41.16844],[67.98586,41.13599],[68.2599,40.66232],[68.63248,40.66868],[69.07003,41.38424],[70.38896,42.08131],[70.96231,42.26615],[71.25925,42.16771],[70.42002,41.52],[71.15786,41.14359],[71.87011,41.3929],[73.05542,40.86603],[71.77488,40.14584],[71.0142,40.24437],[70.60141,40.21853],[70.45816,40.49649],[70.66662,40.96021],[69.32949,40.72782],[69.01163,40.08616],[68.53642,39.53345],[67.70143,39.58048],[67.44222,39.14014],[68.17603,38.90155],[68.39203,38.15703],[67.83,37.14499],[67.07578,37.35614],[66.51861,37.36278]]]},\"properties\":{\"name\":\"Uzbekistan\"}}]}","contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
","tableOfContents":"Tungsten is a critical mineral used in many everyday products, from light bulbs to electronics and medical equipment. In 2024, China was the leading tungsten mining country, producing about 83 percent of all tungsten in the world. Uzbekistan has known tungsten deposits, so we investigated potential effects on the world supply of tungsten if three of those tungsten deposits were developed and produced tungsten and other minerals. Using market conditions from 2024 in our models, we determined that these tungsten deposits could be mined profitably. Our results suggest that if these deposits are developed, Uzbekistan could become the third-leading tungsten producer in the world, increasing global tungsten supply by 2.7 percent. Development of these tungsten deposits could help prevent possible shortages of tungsten.
","publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Safirova, Elena 0000-0001-7121-3917 esafirova@usgs.gov","orcid":"https://orcid.org/0000-0001-7121-3917","contributorId":182020,"corporation":false,"usgs":true,"family":"Safirova","given":"Elena","email":"esafirova@usgs.gov","affiliations":[],"preferred":true,"id":941085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golovko, Yelena","contributorId":357290,"corporation":false,"usgs":false,"family":"Golovko","given":"Yelena","affiliations":[{"id":85400,"text":"Ministry of Mining Industry and Geology of the Republic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulabova, Nafisa","contributorId":351211,"corporation":false,"usgs":false,"family":"Dulabova","given":"Nafisa","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269617,"text":"70269617 - 2025 - False positives in the identification of dynamic earthquake triggering","interactions":[],"lastModifiedDate":"2025-07-28T14:37:58.671335","indexId":"70269617","displayToPublicDate":"2025-06-29T09:34:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"False positives in the identification of dynamic earthquake triggering","docAbstract":"Dynamic earthquake triggering is commonly identified through the temporal correlation between increased seismicity rates and global earthquakes that are possible triggering events. However, correlation does not imply causation. False positives may occur when unrelated seismicity rate changes coincidently occur at around the time of candidate triggers. We investigate the expected false positive rate in Southern California with global M ≥ 6 earthquakes as candidate triggers. We compute the false positive rate by applying the statistical tests used by DeSalvio and Fan (2023), https://doi.org/10.1029/2023jb026487 to synthetic earthquake catalogs with no real dynamic triggering. We find a false positive rate of ∼3.5%–8.5% when realistic earthquake clustering is present, consistent with the 95% confidence typically used in seismology. However, when this false positive rate is applied to the tens of thousands of spatial-temporal windows in Southern California tested in DeSalvio and Fan (2023), https://doi.org/10.1029/2023jb026487, thousands of false positives are expected. The expected false positive occurrence is large enough to explain the observed apparent triggering following 70% of large global earthquakes (DeSalvio & Fan, 2023, https://doi.org/10.1029/2023jb026487), without requiring any true dynamic triggering. Aside from the known triggering from the nearby El Mayor-Cucapah, Mexico, earthquake, the spatial and temporal characteristics of the reported triggering are indistinguishable from random false positives. This implies that best practice for dynamic triggering studies that depend on temporal correlation is to estimate the false positive rate and investigate whether the observed apparent triggering is distinguishable from the correlations that may occur by chance.
","language":"English","publisher":"American Geophysical union","doi":"10.1029/2025JB031566","usgsCitation":"Hardebeck, J.L., DeSalvio, N., Fan, W., and Barbour, A.J., 2025, False positives in the identification of dynamic earthquake triggering: JGR Solid Earth, v. 130, no. 7, e2025JB031566, 13 p., https://doi.org/10.1029/2025JB031566.","productDescription":"e2025JB031566, 13 p.","ipdsId":"IP-173925","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":493314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jb031566","text":"Publisher Index Page"},{"id":492996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeSalvio, Nicolas D.","contributorId":358816,"corporation":false,"usgs":false,"family":"DeSalvio","given":"Nicolas D.","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":944186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":944187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944188,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268830,"text":"70268830 - 2025 - Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California","interactions":[],"lastModifiedDate":"2025-11-18T16:52:10.629121","indexId":"70268830","displayToPublicDate":"2025-06-28T11:04:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California","docAbstract":"Since the 1980s, monarch butterfly (Danaus plexippus plexippus) populations across North America have declined by 80–95%. Although several studies have implicated pesticides as a contributing factor to their population declines, our understanding of monarch exposure levels in nature remains limited. In January 2024, a mass mortality event near an overwintering site in Pacific Grove, California, USA, provided an opportunity to analyze dead overwintering monarch butterflies for pesticide residues. Ten recently deceased butterflies were collected and analyzed using liquid and gas chromatography with tandem mass spectrometry (LC-MS/MS and GC-MS/MS). We identified a total of 15 pesticides and associated metabolites in the butterflies, including 8 insecticides (plus 1 associated metabolite), 2 herbicides (plus 2 associated metabolites), and 2 fungicides. On average, each monarch butterfly contained 7 pesticides, excluding transformation products if the parent compound was also detected. Notably, three pyrethroid insecticides—bifenthrin, cypermethrin, and permethrin—were consistently detected at or near each chemical’s lethal dose (LD50). Bifenthrin and cypermethrin were found in every sample, while permethrin was present in all but two samples. The average concentrations of these insecticides were 451.9 ng/g dry weight (dw) for bifenthrin, 646.9 ng/g dw for cypermethrin, and 337.1 ng/g dw for permethrin. These findings demonstrate pesticide contamination in monarch butterflies, including within urban areas, and highlight the risks pesticides, especially insecticides, pose to monarch populations. Additional measures may be required to safeguard this species from pesticide exposure, particularly near aggregation locations, such as overwintering sites in coastal California.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf163","usgsCitation":"Cibotti, S., Hladik, M.L., May, E., Pelton, E., Bargar, T., Johnston, N., and Code, A., 2025, Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2716-2724, https://doi.org/10.1093/etojnl/vgaf163.","productDescription":"9 p.","startPage":"2716","endPage":"2724","ipdsId":"IP-171429","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495174,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf163","text":"Publisher Index Page"},{"id":491811,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Pacific Grove","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.93166350087532,\n 36.627315376432804\n ],\n [\n -121.93166350087532,\n 36.625890169912864\n ],\n [\n -121.93022565277657,\n 36.625890169912864\n ],\n [\n -121.93022565277657,\n 36.627315376432804\n ],\n [\n -121.93166350087532,\n 36.627315376432804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cibotti, Staci","contributorId":357703,"corporation":false,"usgs":false,"family":"Cibotti","given":"Staci","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Emily","contributorId":357704,"corporation":false,"usgs":false,"family":"May","given":"Emily","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelton, Emma","contributorId":357706,"corporation":false,"usgs":false,"family":"Pelton","given":"Emma","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":211833,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Natalie","contributorId":357709,"corporation":false,"usgs":false,"family":"Johnston","given":"Natalie","affiliations":[{"id":85538,"text":"Pacific Grove Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":942263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Code, Aimee","contributorId":214378,"corporation":false,"usgs":false,"family":"Code","given":"Aimee","email":"","affiliations":[{"id":39027,"text":"Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942264,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268695,"text":"70268695 - 2025 - Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization","interactions":[],"lastModifiedDate":"2025-07-08T15:40:36.038242","indexId":"70268695","displayToPublicDate":"2025-06-27T10:36:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization","docAbstract":"Seawater intrusion (SWI) affects coastal landscapes worldwide. Here we describe the hydrologic pathways through which SWI occurs - over land via storm surge or tidal flooding, under land via groundwater transport, and through watersheds via natural and artificial surface water channels—and how human modifications to those pathways alter patterns of SWI. We present an approach to advance understanding of spatiotemporal patterns of salinization that integrates these hydrologic pathways, their interactions, and how humans modify them. We use examples across the East Coast of the United States that exemplify mechanisms of salinization that have been reported around the planet to illustrate how hydrologic connectivity and human modifications alter patterns of SWI. Finally, we suggest a path for advancing SWI science that includes (a) deploying standardized and well-distributed sensor networks at local to global scales that intentionally track SWI fronts, (b) employing remote sensing and geospatial imaging techniques targeted at integrating above and belowground patterns of SWI, and (c) continuing to develop data analysis and model-data fusion techniques to measure the extent, understand the effects, and predict the future of coastal salinization.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038720","usgsCitation":"Helton, A., Dennedy-Frank, J., Emanuel, R., Neubauer, S.C., Adams, K., Ardon, M., Band, L., Befus, K.A., Borstlap, H., Duberstein, J., Gold, A., Kominoski John, Manda, A., Michael, H.A., Moysey, S., Myers-Pigg, A., Neville, J.A., Noe, G.E., Panthi, J., Pezeshki, E., Sirianni, M., and Ward.Nicolas, 2025, Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization: Water Resources Research, v. 61, no. 7, e2024WR038720, 8 p., https://doi.org/10.1029/2024WR038720.","productDescription":"e2024WR038720, 8 p.","ipdsId":"IP-167925","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Elnaz","contributorId":357535,"corporation":false,"usgs":false,"family":"Pezeshki","given":"Elnaz","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":941681,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sirianni, Matthew","contributorId":357536,"corporation":false,"usgs":false,"family":"Sirianni","given":"Matthew","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":941682,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ward.Nicolas","contributorId":357537,"corporation":false,"usgs":false,"family":"Ward.Nicolas","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":941683,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70268682,"text":"70268682 - 2025 - Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra","interactions":[],"lastModifiedDate":"2025-07-08T15:35:07.484083","indexId":"70268682","displayToPublicDate":"2025-06-27T10:29:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra","docAbstract":"Key to the success of spaceborne missions is understanding snowmelt in our warming climate, as this has implications for nearly 2 billion people. An obstacle is that surface reflectance products over snow show an erroneous hook with decreases in the visible wavelengths, causing per-band and broadband reflectance errors of up to 33 % and 11 %, respectively. This hook is sometimes mistaken for soot or dust but can result from three artifacts: (1) background reflectance that is too dark, (2) an assumption of level terrain, or (3) differences in optical constants of ice. Sensor calibration and directional effects may also contribute. Solutions are being implemented.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-19-2315-2025","usgsCitation":"Bair, E., Roberts, D., Thompson, D., Brodrick, P., Wilder, B., Bohn, N., Crawford, C., Carmon, N., Vuyovich, C., and Dozier, J., 2025, Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra: The Cryosphere, v. 19, no. 6, p. 2315-2320, https://doi.org/10.5194/tc-19-2315-2025.","productDescription":"6 p.","startPage":"2315","endPage":"2320","ipdsId":"IP-166246","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-19-2315-2025","text":"Publisher Index Page"},{"id":491804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bair, Edward","contributorId":357516,"corporation":false,"usgs":false,"family":"Bair","given":"Edward","affiliations":[{"id":85440,"text":"Leidos Inc.","active":true,"usgs":false}],"preferred":false,"id":941635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Dar","contributorId":13721,"corporation":false,"usgs":true,"family":"Roberts","given":"Dar","affiliations":[],"preferred":false,"id":941636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David R.","contributorId":152638,"corporation":false,"usgs":false,"family":"Thompson","given":"David R.","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":941637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodrick, Philip","contributorId":225044,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":941638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilder, Brent","contributorId":357520,"corporation":false,"usgs":false,"family":"Wilder","given":"Brent","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":941639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohn, Niklas","contributorId":305904,"corporation":false,"usgs":false,"family":"Bohn","given":"Niklas","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":941640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carmon, Nimrod","contributorId":357522,"corporation":false,"usgs":false,"family":"Carmon","given":"Nimrod","affiliations":[{"id":85441,"text":"JPL CalTech","active":true,"usgs":false}],"preferred":false,"id":941642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vuyovich, Carrie","contributorId":357523,"corporation":false,"usgs":false,"family":"Vuyovich","given":"Carrie","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":941643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dozier, Jeff","contributorId":357524,"corporation":false,"usgs":false,"family":"Dozier","given":"Jeff","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":941644,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273107,"text":"70273107 - 2025 - Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California","interactions":[],"lastModifiedDate":"2025-12-16T15:46:46.130415","indexId":"70273107","displayToPublicDate":"2025-06-27T09:40:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California","docAbstract":"Geometrically complex, multifault ruptures have been observed in recent, damaging earthquakes in southeastern California, sparking renewed efforts to identify physical conditions that promote or inhibit fault discontinuity-spanning coseismic ruptures. The likelihood of ruptures propagating across fault discontinuities is thought to be partly controlled by fault geometries, rupture direction, and the history of strain release. However, these parameters vary in space and time over multiple earthquake cycles, making it difficult to forecast the likelihood that an earthquake on one fault will trigger rupture on a nearby fault. Here we use tectono-geomorphic mapping of a geometrically complex fault zone in Panamint Valley, southeastern California, to assess spatiotemporal variations of paleo-rupture patterns and geometries of fault discontinuities over multiple earthquake cycles. First, we identify ten generations of late Pleistocene to Holocene alluvium using geomorphic parameters and luminescence dating to constrain ages of alluvium and bracket late Holocene earthquake timing. Then, we quantify slip kinematics using high-resolution structure from motion digital surface models. We find the Panamint Valley transtensional relay (PVTR) hosted four late Holocene earthquakes, bracketed to ~5.8–3.4 ka, ~3.8–2.2 ka, ~2.4–0.6 ka, and ~0.64–0.16 ka, with ~0.6–1.1 m of slip per event, correlative to Mw ≈ 6.7–6.9 earthquakes. Additionally, we find similarities in earthquake timing on the Ash Hill, PVTR, and Panamint Valley faults and similarities in the slip magnitude and slip kinematics between the Ash Hill and PVTR faults, implying that the PVTR may co-rupture with nearby faults. Paleo-rupture patterns indicate that seismogenic strain transfer may occur through the PVTR, along different combinations of fault segments and jump distances, over multiple earthquake cycles. These data highlight the utility of tectono-geomorphic mapping in evaluating paleo-rupture patterns and suggest that the PVTR may act to propagate and/or arrest rupture between the Ash Hill and Panamint Valley faults.
","language":"English","publisher":"Geological Society of America","doi":"10.2113/2024/lithosphere_2024_187","usgsCitation":"LaPlante, A., Regalla, C., Sethanant, I., Mahan, S.A., and Gray, H., 2025, Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California: Lithosphere, v. 2024, no. Special 15, lithosphere_2024_187, 38 p., https://doi.org/10.2113/2024/lithosphere_2024_187.","productDescription":"lithosphere_2024_187, 38 p.","ipdsId":"IP-167806","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2024/lithosphere_2024_187","text":"Publisher Index Page"},{"id":497572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Panamint Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.5,\n 36.333\n ],\n [\n -117.5,\n 35.75\n ],\n [\n -117,\n 35.75\n ],\n [\n -117,\n 36.333\n ],\n [\n -117.5,\n 36.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024","issue":"Special 15","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"LaPlante, Aubrey 0000-0003-4770-2619","orcid":"https://orcid.org/0000-0003-4770-2619","contributorId":331133,"corporation":false,"usgs":false,"family":"LaPlante","given":"Aubrey","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sethanant, Israporn","contributorId":364204,"corporation":false,"usgs":false,"family":"Sethanant","given":"Israporn","affiliations":[{"id":86768,"text":"University of Melbourne (Australia)","active":true,"usgs":false}],"preferred":false,"id":952353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268748,"text":"70268748 - 2025 - Catalyzing change: A literature review on the implementation of the Nature Futures Framework","interactions":[],"lastModifiedDate":"2025-07-09T13:23:12.296206","indexId":"70268748","displayToPublicDate":"2025-06-27T08:12:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5318,"text":"Sustainability Science","active":true,"publicationSubtype":{"id":10}},"title":"Catalyzing change: A literature review on the implementation of the Nature Futures Framework","docAbstract":"The Nature Futures Framework (NFF), developed under the Intergovernmental Science–Policy Platform on Biodiversity and Ecosystem Services (IPBES), serves as a catalyst for advancing new scenarios and models focused on biodiversity and ecosystem services within the broader research community. In particular, the framework facilitates the development of scenarios and models that can help guide change processes toward desirable futures for nature and people. This paper assesses 31 studies that have engaged with the NFF since its introduction in 2020, aiming to identify which research areas have been addressed, and where development needs remain. The applications exhibit a large diversity in terms of locations, spatial scales, methods, outputs, and stakeholder involvement. The most common use of the framework has been in developing visions and scenarios. Nearly all studies engaged with diverse values of nature through the framework’s fundamental value perspectives: ‘Nature for Society’, ‘Nature for Nature’, and ‘Nature as Culture/One with Nature’. While the framework is generally perceived as useful, challenges remain in integrating the NFF across multiple scales and fully incorporating plural values, particularly in measuring relational aspects and avoiding Western-centric biases. Future research priorities include developing integrated, quantitative studies and exploring transformative pathways to enhance the framework's effectiveness in driving sustainable outcomes. Overall, the growing body of work using the NFF provides a strong foundation for distilling best practices, facilitating large-scale applications, and achieving the framework's objectives.","language":"English","publisher":"Springer","doi":"10.1007/s11625-025-01682-y","usgsCitation":"Okayasu, S., Kuiper, J.J., Halouani, G., Kim, H., Miller, B.W., Duran, A., Angelique, V., Schoolenberg, M., Hashimoto, S., and Lundquist, C.J., 2025, Catalyzing change: A literature review on the implementation of the Nature Futures Framework: Sustainability Science, 20 p., https://doi.org/10.1007/s11625-025-01682-y.","productDescription":"20 p.","ipdsId":"IP-171087","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":492077,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11625-025-01682-y","text":"Publisher Index Page"},{"id":491801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Okayasu, Sana","contributorId":228932,"corporation":false,"usgs":false,"family":"Okayasu","given":"Sana","affiliations":[{"id":41529,"text":"PBL","active":true,"usgs":false}],"preferred":false,"id":941837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuiper, Jan J.","contributorId":222013,"corporation":false,"usgs":false,"family":"Kuiper","given":"Jan","email":"","middleInitial":"J.","affiliations":[{"id":40465,"text":"Stockholm Resilience Centre, Stockholm University","active":true,"usgs":false}],"preferred":false,"id":941838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halouani, Ghassen","contributorId":228942,"corporation":false,"usgs":false,"family":"Halouani","given":"Ghassen","email":"","affiliations":[],"preferred":false,"id":941839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, HyeJin","contributorId":228945,"corporation":false,"usgs":false,"family":"Kim","given":"HyeJin","email":"","affiliations":[],"preferred":false,"id":941840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":941841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duran, America Paz 0000-0001-9719-7388","orcid":"https://orcid.org/0000-0001-9719-7388","contributorId":357584,"corporation":false,"usgs":false,"family":"Duran","given":"America Paz","affiliations":[{"id":85462,"text":"Instituto de Ecologia y Biodiversidad, Chile","active":true,"usgs":false}],"preferred":false,"id":941842,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Angelique, Vermeer 0000-0002-1990-6633","orcid":"https://orcid.org/0000-0002-1990-6633","contributorId":357585,"corporation":false,"usgs":false,"family":"Angelique","given":"Vermeer","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":941843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoolenberg, Machteld","contributorId":228931,"corporation":false,"usgs":false,"family":"Schoolenberg","given":"Machteld","email":"","affiliations":[{"id":41529,"text":"PBL","active":true,"usgs":false}],"preferred":false,"id":941844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hashimoto, Shizuka","contributorId":228935,"corporation":false,"usgs":false,"family":"Hashimoto","given":"Shizuka","email":"","affiliations":[],"preferred":false,"id":941845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lundquist, Carolyn J.","contributorId":213140,"corporation":false,"usgs":false,"family":"Lundquist","given":"Carolyn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941846,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70270148,"text":"70270148 - 2025 - Hydrothermal hazards on display in Yellowstone National Park","interactions":[],"lastModifiedDate":"2025-08-11T16:02:58.807058","indexId":"70270148","displayToPublicDate":"2025-06-27T08:11:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal hazards on display in Yellowstone National Park","docAbstract":"No abstract available.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250233","usgsCitation":"Harrison, L., Poland, M., Reed, M., Sims, K., and Hungerford, J., 2025, Hydrothermal hazards on display in Yellowstone National Park: Eos, American Geophysical Union, v. 106, https://doi.org/10.1029/2025EO250233.","ipdsId":"IP-177954","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250233","text":"Publisher Index Page"},{"id":493937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.88928406619566,\n 44.46668347948537\n ],\n [\n -110.88928406619566,\n 44.39930766993177\n ],\n [\n -110.77200069651616,\n 44.39930766993177\n ],\n [\n -110.77200069651616,\n 44.46668347948537\n ],\n [\n -110.88928406619566,\n 44.46668347948537\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lauren 0000-0002-1597-118X","orcid":"https://orcid.org/0000-0002-1597-118X","contributorId":229553,"corporation":false,"usgs":false,"family":"Harrison","given":"Lauren","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":945545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":945546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Mara","contributorId":247557,"corporation":false,"usgs":false,"family":"Reed","given":"Mara","affiliations":[],"preferred":false,"id":945547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":945548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hungerford, Jefferson","contributorId":243584,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":945549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268866,"text":"70268866 - 2025 - Isotopic niche plasticity of American alligators within the southern Everglades","interactions":[],"lastModifiedDate":"2025-07-09T15:07:58.020309","indexId":"70268866","displayToPublicDate":"2025-06-27T08:03:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic niche plasticity of American alligators within the southern Everglades","docAbstract":"Hydrologic alterations within the Everglades have degraded American alligator (Alligator mississippiensis) habitat, reduced prey base, and increased physiological stress. Alligator body condition declined across many management areas from 2000 through 2014, prompting us to investigate the relationship between their intraspecific isotopic niche dynamics and body condition. Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. Male niches were often larger than those of females, driven by wider ranges of δ13C values, suggesting that they differ in their proportional use of habitats and or resources. However, the similar ranges of δ15N values indicated both sexes foraged within the same trophic level. Furthermore, while not significantly different, large alligators often had a larger niche with elevated δ15N values compared to medium-sized alligators. Although alligators utilize similar stable carbon and nitrogen isotope pools through time, there was considerable temporal variability. These temporal variations in alligators’ isotopic niche were likely influenced by seasonal hydrologic fluctuations within each site, with their niches often being larger in the spring captures than the fall captures. Alligators’ body condition estimates were correlated with intraspecific niche characteristics, including the mean centroid distance between sexes and the interaction between male and female niche size and overlap, within a site, capture period, and year. The variability in intraspecific niche dynamics, landscape heterogeneity, and dynamic hydrology are considerations for designing sustainable management strategies to conserve and enhance alligator populations within the Everglades landscape.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0326148","usgsCitation":"Denton, M., Cherkiss, M., Mazzotti, F.J., Brandt, L.A., Godfrey, S.T., Johnson, D., and Hart, K., 2025, Isotopic niche plasticity of American alligators within the southern Everglades: PLoS ONE, v. 20, no. 6, e0326148, 29 p., https://doi.org/10.1371/journal.pone.0326148.","productDescription":"e0326148, 29 p.","ipdsId":"IP-152063","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0326148","text":"Publisher Index Page"},{"id":491899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southern Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.15227880692397,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 26.64313806276658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Mathew 0000-0002-1024-3722","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":210504,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":942430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":942431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, Sidney T.","contributorId":302877,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":942432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275013,"text":"70275013 - 2025 - Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","interactions":[],"lastModifiedDate":"2026-04-10T15:03:40.29119","indexId":"70275013","displayToPublicDate":"2025-06-27T07:56:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","title":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","docAbstract":"The nutritional health of polar bears (Ursus maritimus) is tied to reproductive success, and fasting status can be used to infer recent reproductive history. However, the methods currently used to determine denning and fasting status have their limitations. We examined hemoglobin A1c (HbA1c), an integrative metric of average blood glucose levels over recent months, in free-ranging Southern Beaufort Sea polar bears to assess its usefulness in determining reproductive status and fasting. We compared HbA1c between bears recently in maternity dens that included spring-captured females that were accompanied by cubs-of-the-year (n = 38), and non-denned bears that included spring-captured females that were accompanied by 1- or 2-yr-old cubs (n = 39). We predicted that HbA1c would be higher in denned females compared to non-denned females, due to the combined effects of increased circulating glucose associated with insulin resistance from fasting and gestation, as well as the energy mobilization required during early lactation. HbA1c was measured in Polar Bear whole blood samples using an enzymatic assay for quantifying HbA1c and expressed as the percentage of glycated hemoglobin over total hemoglobin. Denned females had higher mean HbA1c (x̅ 4.70%, 95% CI = 4.54%, 4.86%) than non-denned (x̅ 4.38%, 95% CI = 4.23%, 4.53%, P = 0.005). We trained a binary logistic regression model to classify the probability of recent prior denning based on HbA1c and glucose, and the model classified denning with 75% accuracy. HbA1c can be used as an effective tool for determining denning history and could have implications for monitoring reproductive success.
","language":"English","doi":"\\10.1093/jmammal/gyaf033","usgsCitation":"Teman, S.J., Atwood, T.C., Laidre, K.L., Virgin, E.E., Rode, K.D., Rispoli, L.A., and Curry, E., 2025, Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus): Journal of Mammalogy, v. 106, no. 5, p. 1167-1177, https://doi.org/\\10.1093/jmammal/gyaf033.","productDescription":"11 p.","startPage":"1167","endPage":"1177","ipdsId":"IP-170021","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alsaka, Northwest Territories, Yukon","otherGeospatial":"South Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.19395086404143,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 71.61659747066233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Teman, Sarah J.","contributorId":352066,"corporation":false,"usgs":false,"family":"Teman","given":"Sarah","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":959196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":959198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Virgin, Emily E.","contributorId":369807,"corporation":false,"usgs":false,"family":"Virgin","given":"Emily","middleInitial":"E.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rispoli, Louisa A.","contributorId":369808,"corporation":false,"usgs":false,"family":"Rispoli","given":"Louisa","middleInitial":"A.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Curry, Erin","contributorId":369809,"corporation":false,"usgs":false,"family":"Curry","given":"Erin","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959202,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269513,"text":"70269513 - 2025 - Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","interactions":[],"lastModifiedDate":"2025-11-20T16:42:10.638075","indexId":"70269513","displayToPublicDate":"2025-06-27T07:45:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2225,"text":"Journal of Comparative Physiology A","active":true,"publicationSubtype":{"id":10}},"title":"Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","docAbstract":"Animal navigation has long been a fascinating but bewildering subject. Humans and animals might well share similar navigational strategies because they developed within the same physical environments. A “map-and-compass” model has been proposed to explain the two-step avian navigational process, but the “map” step has remained elusive. Although scalar values from bicoordinate geomagnetic or atmospheric olfactory gradients have been considered foundational to the avian map, neither has proved convincing engendering decades of controversy. The olfactory map, and an alternative infrasound direction-finding (IDF) hypothesis, are discussed in this review. The olfactory map hypothesis currently requires extensive stable gradients of trace-odor ratios, but such gradients are highly unlikely within a turbulent and rapidly mixed lower atmosphere. The IDF hypothesis, on the other hand, postulates a two-step navigational model analogous to the maritime and aeronautical radio direction-finding technique. This review was also written to encourage further investigation, and direct testing, of the acoustic navigational process. The IDF hypothesis, at present, appears the better explanation of observed avian navigational behavior and accuracy within the atmosphere’s physical environment.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00359-025-01748-3","usgsCitation":"Hagstrum, J.T., 2025, Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics: Journal of Comparative Physiology A, v. 211, p. 603-616, https://doi.org/10.1007/s00359-025-01748-3.","productDescription":"14 p.","startPage":"603","endPage":"616","ipdsId":"IP-176023","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":943926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70271375,"text":"70271375 - 2025 - Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","interactions":[],"lastModifiedDate":"2025-09-10T14:52:26.296146","indexId":"70271375","displayToPublicDate":"2025-06-27T07:45:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","docAbstract":"The start of the Mauna Loa 2022 eruption in the Mokuʻāweoweo summit caldera was entirely captured through webcam videos. We analyzed footage from the ~ 7-h summit episode, processing > 87,000 frames using a newly automated method to measure fountain heights, fissure lengths, and inflight ejecta volumes. The summit episode comprised four phases. In Phase 1 (~ 1 h), a ~ 1 km long fissure propagated from southwest to northeast, with steady fountain heights reaching 125 m. In Phase 2 (~ 50 min), two further fissure segments extended the total length to ~ 2.4 km, with fountains focused into point sources reaching up to 70 m. In Phase 3 (~ 70 min), the eruption was steady with no major changes in eruptive behavior. In Phase 4 (~ 4 h), fountains became unsteady and weak (< 30 m). Fissure growth rates varied from ~ 20 to -9 m/min, and bulk magma flux peaked at 2.7 × 104 m3/s. An inverse relationship between maximum fountain heights and fissure lengths suggests that total magma flux was nearly constant until Phase 4. We propose an interconnected feeding system for the summit episode with a preferential pathway for gas-rich magma in the southwest portion of the caldera. The sustained nature of the episode was likely driven by the fast rise of melt coupled with small bubbles, with trains of decoupled larger bubbles producing pulsations. Webcam videography was an effective tool to quantify early-stage eruption parameters and could be further explored for rapid response and fine-tuning of hazard mitigation strategies on erupting basaltic volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01850-z","usgsCitation":"Pasqualon, N.G., Houghton, B.F., Patrick, M.R., Llewellin, E.W., and Tisdale, C.M., 2025, Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption: Bulletin of Volcanology, v. 87, 58, 17 p., https://doi.org/10.1007/s00445-025-01850-z.","productDescription":"58, 17 p.","ipdsId":"IP-175520","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.02478567084205,\n 20.32017453313877\n ],\n [\n -156.0823626952265,\n 19.722565628311997\n ],\n [\n -156.01845656540482,\n 19.172467415538705\n ],\n [\n -155.8853727071243,\n 19.014916638266172\n ],\n [\n -155.67928378223007,\n 18.868287419874775\n ],\n [\n -154.76902476310184,\n 19.405671946951102\n ],\n [\n -155.07379675427597,\n 20.114573804066268\n ],\n [\n -156.02478567084205,\n 20.32017453313877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasqualon, Natalia G.","contributorId":361168,"corporation":false,"usgs":false,"family":"Pasqualon","given":"Natalia","middleInitial":"G.","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":948313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":948314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Llewellin, Edward W.","contributorId":353668,"corporation":false,"usgs":false,"family":"Llewellin","given":"Edward","middleInitial":"W.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":948316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Caroline M.","contributorId":247598,"corporation":false,"usgs":false,"family":"Tisdale","given":"Caroline","middleInitial":"M.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":948317,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268445,"text":"sir20245134 - 2025 - Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","interactions":[],"lastModifiedDate":"2025-08-14T19:40:56.797048","indexId":"sir20245134","displayToPublicDate":"2025-06-26T13:45:32","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":"2024-5134","displayTitle":"Assessment and Validation of Depressions in Digital Elevation Models From Multiple Elevation Data Sources and Delineation of Depressions, Sinking Streams, and Their Watersheds in Tennessee and Parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","title":"Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","docAbstract":"Closed depressions and sinking streams in karst landscapes pose difficulties for water-resources management, in the construction of roads and other public works, and in hydrologic and hydrogeomorphic analyses. Digital elevation models (DEMs) can be used to identify the location and determine the size and shape of closed depressions, but separating artificial depressions due to error from real depressions in DEMs can be difficult. Artificial depressions in the DEMs can result from errors that were inherited from limitations in the source data, the interpolation of the elevation data into a grid of values, or horizontal and vertical accuracy of the elevation data. Because the source dataset used to derive DEMs is only a model of the true landscape, field verification is necessary to separate artificial depressions from real ones in DEMs. DEM analysis alone can only be used to determine whether a depression is likely or unlikely to exist in the landscape.
The U.S. Geological Survey has applied methods to delineate depressions, sinking streams, and their watersheds by using DEMs derived from two sources of elevation data within karst areas of Tennessee and parts of surrounding States. Preliminary depressions, which include all depressions before separating the likely depressions from the unlikely depressions, were delineated from the DEMs with 30- by 30-foot cells derived from each elevation data source. The characteristics of these preliminary depressions were compared to occurrence probabilities for depressions derived from numerical error propagation tests in 10 test areas across the study area and to topographic-contour source data within a 17,739-square-mile test area in middle Tennessee and northern Alabama. The comparison was conducted to determine depression characteristics that, when combined with depression-proximity filters, could be used to separate unlikely from likely depressions. Preliminary depressions were examined in the field at 91 sites in Tennessee, and field observations were compared to digital determinations of unlikely and likely depressions.
The density and size of depressions derived from each elevation dataset were compared within eight karst regions in the study area. Depressions and their watersheds were compiled from each elevation dataset. Sinking streams derived from the National Hydrography Dataset and their watersheds also were compiled for the study area.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The National Fish Habitat Partnership (NFHP) is a science based, non-regulatory, partnership-driven effort to conserve fish habitat across the USA. The NFHP was developed in the early to mid-2000s in response to the noted declines to fish populations and their associated habitats across the USA with the effort led by the Association of Fish and Wildlife Agencies and supported by a wide range of federal and state fisheries agencies along with conservation organizations. Since 2006, 20 Fish Habitat Partnerships have been organized around specific habitats, fish species, or geographic areas. These partnerships have implemented 1,613 projects resulting in 9,720 habitat enhancements or parcels of habitat protected, including 7,962 riverine or coastline miles and 98,255 acres of marine, lake, impoundment, and reservoir fish habitat along with 1,499 science and data products using US$60,613,842 of direct NFHP investment matched or leveraged by $332,841,072. The NFHP was codified by the U.S. Congress in 2020 and reauthorized in 2024, building on the strong initial foundation and ensuring success into the future. Follow-up publications to this overview paper are planned by each Fish Habitat Partnership to fully describe the depth and breadth of this key U.S. habitat program.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/fshmag/vuaf053","usgsCitation":"Whelan, G., McOwen, A., and Wieferich, D.J., 2025, The National Fish Habitat Partnership – A unique path to conserving fish habitat: Fisheries, v. 50, no. 11, p. 512-520, https://doi.org/10.1093/fshmag/vuaf053.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-175799","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":497681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Whelan, Gary","contributorId":146115,"corporation":false,"usgs":false,"family":"Whelan","given":"Gary","email":"","affiliations":[{"id":16584,"text":"Fisheries Division, Michigan Department of Natural Resources, P.O. Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":952594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McOwen, Alexandra","contributorId":364367,"corporation":false,"usgs":false,"family":"McOwen","given":"Alexandra","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":952595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":176205,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true}],"preferred":true,"id":952596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268817,"text":"70268817 - 2025 - In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","interactions":[],"lastModifiedDate":"2025-07-08T15:28:17.235284","indexId":"70268817","displayToPublicDate":"2025-06-26T10:21:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands","docAbstract":"Introduction: Rangeland ponds are vital to the livelihoods of pastoral and agropastoral communities in Africa, providing an important source of water for livestock. However, sparse instrumentation across much of Africa makes it extremely challenging to monitor surface water availability in these areas. Model estimates of surface water, for example, as used by the Famine Early Warning Systems Network (FEWS NET) Water Point Viewer, are one of the few operational tools available to monitor surface water stress across pastoral areas of the Sahel and East Africa.
Methods: Water availability data from these models are difficult to validate. New methods using satellite data to classify surface water provide an opportunity to assess the performance of these tools. This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.
Results and discussion: The Active-Passive Water Classification (APWC) algorithm detected surface water at each location. Over 2022 and 2023, water was detected in pond locations annually at a frequency of 68.2% for all ponds and at a frequency of 43.8% for ponds with a surface area <10,000 square meters (m2). The APWC results outperform global and continental surface water datasets in the Ferlo region. Seasonal water availability was captured in 12 ponds over the 2022 and 2023 seasons. The 12 locations can function as sentinel ponds to monitor local water availability. Study results demonstrate the viability of satellite methods to assess water availability in the region, as well as the challenges to using satellite-based methods to estimate water availability in small ponds.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2025.1320010","usgsCitation":"Slinski, K., Senay, G.B., Adoum, A., Shukla, S., McNally, A., Rowland, J., Fillol, E., Yatheendradas, S., Funk, C., Hoell, A., and Jasinski, M., 2025, In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands: Frontiers in Water, v. 7, 1320010, 17 p., https://doi.org/10.3389/frwa.2025.1320010.","productDescription":"1320010, 17 p.","ipdsId":"IP-162900","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2025.1320010","text":"Publisher Index Page"},{"id":491802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Senegal","otherGeospatial":"Ferlo Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -16.125,\n 16.5\n ],\n [\n -16.125,\n 14.6667\n ],\n [\n -14,\n 14.6667\n ],\n [\n -14,\n 16.5\n ],\n [\n -16.125,\n 16.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Slinski, Kimberly","contributorId":337030,"corporation":false,"usgs":false,"family":"Slinski","given":"Kimberly","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":942089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":357639,"corporation":false,"usgs":false,"family":"Adoum","given":"Alkhalil","affiliations":[{"id":85483,"text":"University of California, Climate Hazards Center, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":942091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":224784,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":942092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNally, Amy","contributorId":331306,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","affiliations":[{"id":79185,"text":"NASA Goddard Space Flight Center/SAIC","active":true,"usgs":false}],"preferred":false,"id":942093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":942094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fillol, Erwan","contributorId":357640,"corporation":false,"usgs":false,"family":"Fillol","given":"Erwan","affiliations":[{"id":85484,"text":"Action Contre la Faim, Regional Office for West & Central Africa, Dakar, Senegal","active":true,"usgs":false}],"preferred":false,"id":942095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yatheendradas, Soni","contributorId":217737,"corporation":false,"usgs":false,"family":"Yatheendradas","given":"Soni","email":"","affiliations":[{"id":39690,"text":"University of Maryland; NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":942096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, Chris","contributorId":302160,"corporation":false,"usgs":false,"family":"Funk","given":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942097,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoell, Andrew","contributorId":331301,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":79182,"text":"NOAA ESRL","active":true,"usgs":false}],"preferred":false,"id":942098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jasinski, Michael","contributorId":357641,"corporation":false,"usgs":false,"family":"Jasinski","given":"Michael","affiliations":[{"id":85485,"text":"NASA, Goddard Space Flight Center Department, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":942099,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70271464,"text":"70271464 - 2025 - Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022)","interactions":[],"lastModifiedDate":"2025-09-16T14:59:16.597727","indexId":"70271464","displayToPublicDate":"2025-06-26T09:56:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022)","docAbstract":"No abstract available.
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70320","usgsCitation":"Moorhead, D.L., Todd-Brown, K.E., Besser, A.C., Bloom, D.E., Bonner, A., Cueva, A., Ingalls, T.C., Li, J., Reed, S.C., Torres, I., and Throop, H.L., 2025, Photodegradation of lignocellulose in plant litter – Reinterpreting data from Méndez et al. (2022): New Phytologist, v. 247, no. 5, p. 1977-1980, https://doi.org/10.1111/nph.70320.","productDescription":"4 p.","startPage":"1977","endPage":"1980","ipdsId":"IP-173956","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70320","text":"Publisher Index Page"},{"id":495599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"247","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Moorhead, Daryl L. 0000-0002-3460-5302","orcid":"https://orcid.org/0000-0002-3460-5302","contributorId":361458,"corporation":false,"usgs":false,"family":"Moorhead","given":"Daryl","middleInitial":"L.","affiliations":[{"id":86285,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 4360","active":true,"usgs":false}],"preferred":false,"id":948846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd-Brown, Katherine E.O. 0000-0002-3109-8130","orcid":"https://orcid.org/0000-0002-3109-8130","contributorId":361459,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","middleInitial":"E.O.","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Besser, Alexi C. 0000-0003-3384-6793","orcid":"https://orcid.org/0000-0003-3384-6793","contributorId":361460,"corporation":false,"usgs":false,"family":"Besser","given":"Alexi","middleInitial":"C.","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Dellena Evelyn 0000-0002-0598-1747","orcid":"https://orcid.org/0000-0002-0598-1747","contributorId":361461,"corporation":false,"usgs":false,"family":"Bloom","given":"Dellena","middleInitial":"Evelyn","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonner, Ashley 0000-0001-7882-6353","orcid":"https://orcid.org/0000-0001-7882-6353","contributorId":361462,"corporation":false,"usgs":false,"family":"Bonner","given":"Ashley","affiliations":[{"id":86286,"text":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":948850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cueva, Alejandro","contributorId":355127,"corporation":false,"usgs":false,"family":"Cueva","given":"Alejandro","affiliations":[{"id":84714,"text":"El Colegio de la Frontera Sur, Departemento de Ecosistema Ecologico, San Cristobal, Mexico","active":true,"usgs":false}],"preferred":false,"id":948851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ingalls, Thomas C. 0000-0002-3170-6749","orcid":"https://orcid.org/0000-0002-3170-6749","contributorId":361463,"corporation":false,"usgs":false,"family":"Ingalls","given":"Thomas","middleInitial":"C.","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Jiwei","contributorId":355122,"corporation":false,"usgs":false,"family":"Li","given":"Jiwei","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":948853,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torres, Isabel","contributorId":361464,"corporation":false,"usgs":false,"family":"Torres","given":"Isabel","affiliations":[{"id":86289,"text":"School of Life Sciences, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":948855,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":948856,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70270650,"text":"70270650 - 2025 - Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","interactions":[],"lastModifiedDate":"2025-08-22T17:01:30.875265","indexId":"70270650","displayToPublicDate":"2025-06-26T09:54:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","docAbstract":"Hybridization is a common process among bird species that can precipitate a mix of positive or negative species outcomes. Particularly for rare populations, detrimental effects of hybridization on demographic growth rates and genetic integrity are of serious concern. In Alaska and a small region of northwestern Canada, the endemic subspecies of Gray-headed Chickadee (Poecile cinctus lathami) has declined in recent decades from being locally common to being extremely rare. The more widespread Boreal Chickadee (P. hudsonicus) has become increasingly abundant in areas of sympatry. These changes in abundance may have led to hybridization between Gray-headed Chickadees and Boreal Chickadees. We used a series of analyses to test for signatures of introgression at mitochondrial DNA and nuclear DNA using historical museum samples of both species collected between 1875 and 1979 as well as contemporary Boreal Chickadee samples. In addition, we modeled Gray-headed Chickadee and Boreal Chickadee demographic histories to better understand patterns of effective population size changes and gene flow over time. Introgression of Gray-headed Chickadee nuclear DNA was detected in contemporary and historical Boreal Chickadee populations, and two first-generation hybrid backcrosses were observed in the historical Boreal Chickadee samples. Lack of mitochondrial DNA introgression or backcrossing into the Gray-headed Chickadee historical samples may be an artifact of mate scarcity during the period before local abundances of Boreal Chickadee exceeded Gray-headed Chickadees. Demographic modeling with nuclear loci estimated a low level of symmetric gene flow between Gray-headed Chickadees and Boreal Chickadees since the time of divergence. Our study suggests that hybridization may be linked to Gray-headed Chickadee declines and represents a case study of how museum collections can be used to infer introgression in a population too scarce to directly investigate.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71673","usgsCitation":"Armstrong, M., Wilson, R.E., Johnson, J.A., Booms, T.L., Gesmundo, C., Pohlen, Z.M., Leonard, P., and Sonsthagen, S.A., 2025, Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation: Ecology and Evolution, v. 15, no. 7, e71673, 24 p., https://doi.org/10.1002/ece3.71673.","productDescription":"e71673, 24 p.","ipdsId":"IP-174990","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71673","text":"Publisher Index Page"},{"id":494968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14VRAFK","text":"USGS data release","linkHelpText":"Genomic Data from Gray-headed Chickadee and Boreal Chickadee"},{"id":494539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -172.1919174337219,\n 61.16412670906658\n ],\n [\n -129.51473236723288,\n 48.06724009877192\n ],\n [\n -93.17753488654388,\n 46.064196955208274\n ],\n [\n -63.72506402216072,\n 40.66890918223237\n ],\n [\n -53.91974877832055,\n 47.12392212876617\n ],\n [\n -71.4552518971592,\n 54.21262122953985\n ],\n [\n -117.82748729757712,\n 64.7593894735477\n ],\n [\n -144.17212698454327,\n 70.88681790730743\n ],\n [\n -172.1919174337219,\n 61.16412670906658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Matthew 0009-0004-6875-4631","orcid":"https://orcid.org/0009-0004-6875-4631","contributorId":355185,"corporation":false,"usgs":false,"family":"Armstrong","given":"Matthew","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":360072,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A.","contributorId":360074,"corporation":false,"usgs":false,"family":"Johnson","given":"James","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":946766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":946767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pohlen, Zachary M.","contributorId":344057,"corporation":false,"usgs":false,"family":"Pohlen","given":"Zachary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":946768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leonard, Paul 0000-0001-8032-7449","orcid":"https://orcid.org/0000-0001-8032-7449","contributorId":355186,"corporation":false,"usgs":false,"family":"Leonard","given":"Paul","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946770,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268443,"text":"sir20255037 - 2025 - Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California","interactions":[],"lastModifiedDate":"2025-06-26T17:02:22.739283","indexId":"sir20255037","displayToPublicDate":"2025-06-26T09:50:00","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":"2025-5037","displayTitle":"Using Public Participatory Geographic Information Systems (PPGIS) to Explore Uses and Values for Mojave Trails National Monument, California","title":"Using public participatory geographic information systems (PPGIS) to explore uses and values for Mojave Trails National Monument, California","docAbstract":"Many people ascribe a variety of values to public lands and waters, but some values are more difficult to assess and quantify than others. Public participatory geographic information systems (PPGIS) are tools that have been used to help quantify and map the public’s diverse values for a landscape. This work describes the first known Office of Management and Budget–approved use of PPGIS by a Department of the Interior bureau. The U.S. Geological Survey developed an internet-based application to aid in gathering PPGIS data, called Values Mapping for Planning in Regional Ecosystems (VaMPIRE). Further, this work describes the first pilot of the VaMPIRE application in coordination with the Bureau of Land Management to collect spatial data and other survey data regarding the public’s uses of and values for locations within Mojave Trails National Monument. We emailed the link to the VaMPIRE application to an interested party email list in 2024 with 207 valid emails and received 74 responses; we also received 47 responses from members of an off-roading social media group. Of the list of 16 value options, recreation was the most popular value for the monument, followed by wilderness and inspirational. Over 1,000 points were placed throughout the monument, indicating locations people use or value, with the locations spread throughout the entire monument. Additionally, most survey respondents stated their ability to receive benefits in locations they mapped would not change in response to a hypothetical scenario related to recreational facility development. This report describes exploratory results from the first use of the VaMPIRE tool in Mojave Trails National Monument and includes reflections on how the process went and considerations for future use of VaMPIRE.
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U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118