Introduced organisms can cause substantial effects across most landscapes. Island ecosystems, especially tropical islands, are at elevated risk from introduced organisms. The risks are even higher for tropical islands with moderate or high levels of transit, yet this can be minimized by application of appropriate biosecurity requirements. In this study, we examined the potential for non-native plant species introductions, especially invasive plants, via shipping containers to be transported to Wake Atoll, one of the most remote terrestrial land masses in the Pacific Ocean. We sowed debris collected from 30 shipping containers in a greenhouse experiment to determine if any live plants could be germinated, identify any species that germinated, and ascertain if they posed a threat if they were to be transported to Wake Atoll and became established there. During this study 23 plant species were identified, including ferns, monocots, and dicots. Fifteen of these species reached reproductive maturity over the course of seven months. From previous plant surveys on the atoll, we know that 13 of the 23 identified species were not previously recorded, and four species are already known to be invasive on Wake Atoll. This study provides insight into the potential for debris found in shipping containers to contribute to the spread of non-native, possibly invasive species. This information may help with the refinement of biosecurity strategies to prevent the accidental introduction of invasive species into sensitive natural areas such as Wake Atoll.
","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Yanger, C., Jacobi, J.D., Yelenik, S.G., and Hathaway, S.A., 2025, Wake Atoll: Evaluation of plant biosecurity: Hawaii Cooperative Studies Unit Technical Report, iii, 14 p.","productDescription":"iii, 14 p.","ipdsId":"IP-140278","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490357,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://hdl.handle.net/10790/5395","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Wake Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 166.58673055603924,\n 19.333295310398526\n ],\n [\n 166.58673055603924,\n 19.2571320045799\n ],\n [\n 166.66824179925123,\n 19.2571320045799\n ],\n [\n 166.66824179925123,\n 19.333295310398526\n ],\n [\n 166.58673055603924,\n 19.333295310398526\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yanger, Corie","contributorId":238981,"corporation":false,"usgs":false,"family":"Yanger","given":"Corie","email":"","affiliations":[{"id":33492,"text":"TBD","active":true,"usgs":false}],"preferred":false,"id":939976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":939977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":939978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":206793,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268082,"text":"70268082 - 2025 - Outwash events inhibit vegetation recovery and prolong coastal vulnerability","interactions":[],"lastModifiedDate":"2025-06-12T14:47:53.144697","indexId":"70268082","displayToPublicDate":"2025-06-07T09:44:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Outwash events inhibit vegetation recovery and prolong coastal vulnerability","docAbstract":"Overwash, when high ocean water levels and waves flood a coastline, is a common phenomenon that can lead to washover deposits and barrier rollover. Outwash, by contrast, involves seaward flow, often driven by high back-barrier water levels, and can produce washout channels and nearshore deposition. Our observations show that washout channels were quickly (days to weeks) filled and reshaped into beaches, berms, and washover deposits and ponds often formed at the landward ends. However, there was a significant delay in revegetation of former washout areas compared with washover areas. North Core Banks, North Carolina, was affected by repeat hurricanes in different ways: Hurricane Florence (2018) deposited large washover fans 0.5–1 m thick, and Hurricane Dorian (2019) removed 1–4 m of sediment from washout channels. Aerial surveys captured vegetation recolonization on the Florence washover fans within a year but, after Dorian, surveys showed that although the washout channels and ponds quickly filled with marine sand, the channel throats and new washover platforms remained mostly unvegetated for five years. New vegetation growth was associated with the washout ponds and was characteristic of low-elevation hydrophilic environments. We observed comparable outcomes at washout and washover locations on the coasts of Texas and New York and suggest that outwash interrupts the normal cycle of vegetation and dune growth that is key to rebuilding barrier islands after storms. The lack of vegetation in the former washout channels prolongs vulnerability to overwash, further delaying recovery. Our findings have implications for best-management practices and modeling of coastal geomorphic evolution.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF008162","usgsCitation":"Over, J.R., and Sherwood, C.R., 2025, Outwash events inhibit vegetation recovery and prolong coastal vulnerability: JGR Earth Surface, v. 130, no. 6, e2024JF008162, 14 p., https://doi.org/10.1029/2024JF008162.","productDescription":"e2024JF008162, 14 p.","ipdsId":"IP-170789","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490932,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1PGG57F","text":"USGS data release","linkHelpText":"Supplemental data for Over and Sherwood (2025), Washover and washout locations and landcover classifications after hurricanes Florence, Dorian, Harvey, Ike, and Sandy in North Carolina, Texas, and New York"},{"id":490510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940169,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268303,"text":"70268303 - 2025 - Waterline responses to climate forcing along the North American West Coast","interactions":[],"lastModifiedDate":"2025-06-20T14:41:50.092888","indexId":"70268303","displayToPublicDate":"2025-06-07T09:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Waterline responses to climate forcing along the North American West Coast","docAbstract":"Understanding waterline variability at seasonal to interannual timescales is crucial for predicting coastal responses to climate forcing. However, relationships between large-scale climate variability and coastal morphodynamics remain underexplored beyond intensively monitored sites. This study leverages a newly developed 25-year (1997–2022) satellite-derived waterline dataset along the North American West Coast. Our results reveal distinct latitudinal patterns in seasonal waterline change, with excursions exceeding 25 m in the Pacific Northwest, decreasing to less than 10 m in Southern California and farther south. Waterline fluctuations strongly follow wave power in the Pacific Northwest (R = −0.78), northern California (R = −0.75), and Baja California (R = −0.62), while Baja California Sur aligns more with sea-level variations (R = −0.42). Interannually, waterline change exhibits latitudinal dependence: south of southern California, variability is low, with major erosion confined to strong El Niño-Southern Oscillation (ENSO) events, while northern regions show mixed responses. ENSO-driven storm track shifts modulate winter wave climate, resulting in enhanced (attenuated) erosion from southern California to Baja California Sur during El Niño (La Niña). However, further north, ENSO impacts are less consistent, reflecting a complex interplay of storm track displacement and intensification. These findings highlight the spatial complexity of ENSO-driven morphodynamics and provide a framework for assessing climate-induced coastal vulnerability.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02414-x","usgsCitation":"Graffin, M., Almar, R., Bergsma, E., Boucharel, J., Vitousek, S., Taherkhani, M., and Ruggiero, P., 2025, Waterline responses to climate forcing along the North American West Coast: Communications Earth & Environment, v. 6, no. 1, 444, 15 p., https://doi.org/10.1038/s43247-025-02414-x.","productDescription":"444, 15 p.","ipdsId":"IP-176082","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02414-x","text":"Publisher Index Page"},{"id":491023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"North American West Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.2593217632257,\n 21.579599951497116\n ],\n [\n -107.78246959015371,\n 24.439607185630067\n ],\n [\n -113.38712854090997,\n 31.78944985739807\n ],\n [\n -117.82933273647194,\n 34.52100659732692\n ],\n [\n -122.3885260560478,\n 38.99674000208634\n ],\n [\n -122.69292289258158,\n 48.4491737214054\n ],\n [\n -125.47504604528146,\n 48.56644212375616\n ],\n [\n -125.8512434363422,\n 41.747408051533455\n ],\n [\n -125.27944419064954,\n 37.302919506512524\n ],\n [\n -120.86710575526862,\n 33.41903458083323\n ],\n [\n -114.71330020847188,\n 25.80963272357718\n ],\n [\n -110.2593217632257,\n 21.579599951497116\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Graffin, Marcan","contributorId":357126,"corporation":false,"usgs":false,"family":"Graffin","given":"Marcan","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almar, Rafael","contributorId":357129,"corporation":false,"usgs":false,"family":"Almar","given":"Rafael","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergsma, Erwin W.J.","contributorId":357132,"corporation":false,"usgs":false,"family":"Bergsma","given":"Erwin W.J.","affiliations":[{"id":49049,"text":"CNES","active":true,"usgs":false}],"preferred":false,"id":940753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boucharel, Julien","contributorId":357135,"corporation":false,"usgs":false,"family":"Boucharel","given":"Julien","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taherkhani, Mohsen","contributorId":357138,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruggiero, Peter","contributorId":357141,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940757,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267962,"text":"70267962 - 2025 - Understanding the evolution of scoria cone morphology using multivariate models","interactions":[],"lastModifiedDate":"2025-06-09T15:14:31.734183","indexId":"70267962","displayToPublicDate":"2025-06-06T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the evolution of scoria cone morphology using multivariate models","docAbstract":"Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (n = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02425-8","usgsCitation":"Kereszturi, G., Grosse, P., Whitehead, M., Guilbaud, M., Downs, D.T., Noguchi, R., and Kervyn, M., 2025, Understanding the evolution of scoria cone morphology using multivariate models: Communications Earth & Environment, v. 6, 439, 11 p., https://doi.org/10.1038/s43247-025-02425-8.","productDescription":"439, 11 p.","ipdsId":"IP-171151","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02425-8","text":"Publisher Index Page"},{"id":490265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kereszturi, Gabor 0000-0003-4336-2012","orcid":"https://orcid.org/0000-0003-4336-2012","contributorId":247601,"corporation":false,"usgs":false,"family":"Kereszturi","given":"Gabor","email":"","affiliations":[{"id":49587,"text":"Volcanic Risk Solutions, Massey University, Palmerston North, 4474, New Zealand","active":true,"usgs":false}],"preferred":false,"id":939787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Pablo","contributorId":356702,"corporation":false,"usgs":false,"family":"Grosse","given":"Pablo","affiliations":[{"id":85189,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Fundación Miguel Lillo","active":true,"usgs":false}],"preferred":false,"id":939788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehead, Melody","contributorId":356703,"corporation":false,"usgs":false,"family":"Whitehead","given":"Melody","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":939789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guilbaud, Marie-Noëlle","contributorId":356704,"corporation":false,"usgs":false,"family":"Guilbaud","given":"Marie-Noëlle","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":939790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noguchi, Rina","contributorId":356705,"corporation":false,"usgs":false,"family":"Noguchi","given":"Rina","affiliations":[{"id":85190,"text":"Niigata University","active":true,"usgs":false}],"preferred":false,"id":939792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kervyn, Matthieu","contributorId":213338,"corporation":false,"usgs":false,"family":"Kervyn","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":939793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268119,"text":"70268119 - 2025 - An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","interactions":[],"lastModifiedDate":"2025-09-22T15:21:31.317811","indexId":"70268119","displayToPublicDate":"2025-06-06T09:54:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","docAbstract":"In this study, we apply an empirical Green’s function (eGf) method within a ground‐motion modeling framework to mitigate trade‐offs between source, path, and site effects. Many physical processes contribute to spatial variations in observed ground motions, including earthquake radiation pattern, directivity, variable path attenuation, and site effects. Current nonergodic ground‐motion models use spatially varying coefficients for path and site effects, but they do not address trade‐offs with complex earthquake source effects. To quantify the influence of directivity on ground‐motion amplitudes, we use records from multiple smaller earthquakes with epicenters near that of a larger event. We use these small magnitude events as eGfs and estimate repeatable path and site effects at individual stations, assuming that the average adjustments are not controlled by directivity. We adjust residuals from the larger earthquake using the eGf terms, isolating effects related to the rupture. This method clearly enhances the observed broadband directivity observed in the 2022 M 5.1 and 2007 M 5.4 Alum Rock earthquake ground motions, reinforcing the conclusion that their ruptures were unilateral. For the 2004 M 6.0 Parkfield earthquake, we find a bilateral rupture model better fits the data because variations in rupture velocity, slip rate, and slip distribution seem to have a stronger effect on the ground motions than rupture direction alone. Applying eGf adjustments reduces the standard deviation of the rupture models over the three earthquakes by 32% on average and by up to 57% for the 2022 Alum Rock earthquake, confirming we have effectively removed repeatable effects related to the wave propagation path and site response. We propose a novel measure of the frequency‐dependent directivity amplification strength as the reduction in ground‐motion residual variability gained by fitting a directivity model; for the three earthquakes considered, this parameter varies between 25% and 75%, indicating that directivity can strongly influence ground motions and should be considered in ground‐motion modeling.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240264","usgsCitation":"Parker, G.A., Baltay Sundstrom, A.S., and Hirakawa, E.T., 2025, An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2336-2354, https://doi.org/10.1785/0120240264.","productDescription":"19 p.","startPage":"2336","endPage":"2354","ipdsId":"IP-171011","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123,\n 38.5\n ],\n [\n -123,\n 36\n ],\n [\n -120.5,\n 36\n ],\n [\n -120.5,\n 38.5\n ],\n [\n -123,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274132,"text":"70274132 - 2025 - Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","interactions":[],"lastModifiedDate":"2026-02-27T15:12:54.920259","indexId":"70274132","displayToPublicDate":"2025-06-06T09:00:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","docAbstract":"Accurate abundance estimates are critical for informed management of wildlife populations. In New Mexico, USA, minimum counts from aerial surveys are the primary basis for management decisions regarding desert bighorn sheep (Ovis canadensis mexicana); therefore, there is a need to assess methods that account for imperfect detection. Common survey methods for large mammals (i.e., sightability, double-observer, and double-observer sightability models) are known to result in biased estimates, but the presence of radio-collared individuals within a population allows for estimation of residual heterogeneity. Consequently, we explored the use of hybrid double-observer sightability approaches that account for residual heterogeneity when estimating abundance of desert bighorn sheep in the Fra Cristobal Mountains of New Mexico. We collected double-observer sightability data for 167 desert bighorn groups across 3 surveys between December 2016 and November 2017 and compared abundance estimates under 5 modeling methods: a standard sightability model (MS), a standard double-observer sightability model (MDS), a hybrid double-observer sightability model incorporating a recapture-type heterogeneity parameter (MR), a hybrid double-observer sightability model incorporating a mark-type heterogeneity parameter (MH), and a Lincoln-Petersen estimator. Across all model types, group behavior (moving vs. stationary) and group size influenced detection the most, followed by vegetation class, terrain type, and proportion of obscuring vegetation cover. Standard sightability models produced higher and less precise abundance estimates than all double-observer sightability models. Of the double-observer sightability models, MR was better supported and estimated greater abundance than MH and accounted for more bias than MDS. Both MR and MH yielded greater precision than MS. The MR models produced an average detection probability of p = 0.72 (SE = 0.02) and abundance estimates of N⌃ = 302 (95% CI = 262−385), N⌃= 290 (95% CI = 261−340), and N⌃= 352 (95% CI = 264−548) for the December 2016, May 2017, and November 2017 surveys, respectively. Lincoln-Petersen estimates of abundance were greater than all double-observer sightability models and similarly precise, but their usefulness is reduced given the requirement to permanently maintain a subset of animals with radio-collars combined with the inability to incorporate information from factors influencing detection probability. Further, because residual heterogeneity models better estimate visibility bias, are flexible in their accommodation of radio-collar data, and can be adapted to unique survey occasions, they present a viable and robust option for estimating desert bighorn sheep abundance.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70050","usgsCitation":"Ruhl, C., Cain, J.W., Abadi, F., and Hennig, J.D., 2025, Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity: Journal of Wildlife Management, v. 89, no. 6, e70050, 18 p., https://doi.org/10.1002/jwmg.70050.","productDescription":"e70050, 18 p.","ipdsId":"IP-173007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70050","text":"Publisher Index Page"},{"id":500645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fra Cristobal Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.21201322745647,\n 33.36445095764847\n ],\n [\n -107.21201322745647,\n 33.151779198257444\n ],\n [\n -107.07244373145068,\n 33.151779198257444\n ],\n [\n -107.07244373145068,\n 33.36445095764847\n ],\n [\n -107.21201322745647,\n 33.36445095764847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":956626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":956629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272280,"text":"70272280 - 2025 - Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","interactions":[],"lastModifiedDate":"2025-11-20T15:52:04.970413","indexId":"70272280","displayToPublicDate":"2025-06-06T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","docAbstract":"Objective
Response efforts to control invasive species frequently require making decisions in the face of substantial uncertainty. Adaptive management, which emphasizes learning during the process of managing, can be useful in cases where uncertainty impedes the decision-making process. Here, we describe how technical and institutional learning led to reformulating decision-making elements, known as double-loop learning, and how uncertainty stemming from a lack of knowledge influenced the selection of alternative strategies in an ongoing adaptive management process for invasive Grass Carp Ctenopharyngodon idella in Lake Erie.
Methods
When response efforts began, little was known about the population dynamics, ecology, and biology of Grass Carp within the lake. The availability of funding for sustained response efforts was also unknown. A network population model was constructed that relied heavily on values and estimates from limited data to project adult Grass Carp abundance in Lake Erie and evaluate the ability of various response strategies to achieve the desired objectives. After this initial assessment, the collection of new information was emphasized as response efforts increased to aid future assessments. With this expanded knowledge and including additional input from stakeholders, we modified the population model, evaluated new response scenarios, refined objectives, and examined the influence of uncertainty (parameter and expert opinion) on Grass Carp response efforts.
Results
Under uncertainty of population model parameters and expert opinion, the value-of-information analysis revealed that uncertainties in spawning deterrent efficacy, survival, and the underlying stock–recruitment relationship were important and could change the preferred decision. The efficiency of spawning deterrents influenced the preferred decision outcome among alternative strategies, particularly when >80% of fish were allowed to pass and spawn, indicating that a deterrent may not be worth implementing if passing rates are above this threshold.
Conclusions
We thereby demonstrate the benefits for invasive species management programs of implementing learning and resolving uncertainties within an adaptive management framework to improve decision making.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf024","usgsCitation":"Bopp, J., Robinson, K.F., Nathan, L., Herbst, S., Brenden, T.O., Mayer, C.M., and Dettmers, J.M., 2025, Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie: Transactions of the American Fisheries Society, v. 154, no. 5, p. 490-504, https://doi.org/10.1093/tafafs/vnaf024.","productDescription":"15 p.","startPage":"490","endPage":"504","ipdsId":"IP-165964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.54903263434814,\n 42.00756417508734\n ],\n [\n -83.5079013302731,\n 41.399469691253245\n ],\n [\n -81.65747786109802,\n 41.376324727953744\n ],\n [\n -78.90242947789875,\n 42.5800429820176\n ],\n [\n -78.82019103981635,\n 42.918027622493554\n ],\n [\n -81.18461172886784,\n 42.777400416489556\n ],\n [\n -82.57242629175322,\n 42.229538209014315\n ],\n [\n -83.54903263434814,\n 42.00756417508734\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nathan, Lucas","contributorId":351530,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":950664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenden, Travis O.","contributorId":362621,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":86538,"text":"Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":362622,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":950666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":362623,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269063,"text":"70269063 - 2025 - Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","interactions":[],"lastModifiedDate":"2026-06-03T16:29:47.65992","indexId":"70269063","displayToPublicDate":"2025-06-06T08:43:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","title":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","docAbstract":"Grass carp (Ctenopharyngodon idella) are large, invasive fish that threaten Lake Erie’s economy and ecosystem. Incidental catches of grass carp have occurred since the 1980s in Lake Erie, while multi-day removal events were carried out in 2014 and 2017. To mitigate ecosystem impacts, a large-scale, multi-agency response to remove as many grass carp as possible from the Lake Erie basin (“strike teams”) began in 2018 and has increased every year. To date, total annual removals of fish has been the primary measure of progress; however, total annual removals do not indicate how efforts are affecting the grass carp population. Population vital rates, such as mortality rate, can indicate population demographic changes and may provide an alternative approach to measure how removals have impacted the grass carp population. We estimated annual mortality rates using 553 grass carp, representing 82.9 % of all grass carp removed in the Lake Erie basin, using a hierarchical catch-curve model and catch-at-age data from 2014 to 2022. Annual average mortality rates were initially low (4.3 %) and increased between 2017 and 2022 with the highest mortality (13.6 %) observed in 2021. Positive correlations between mortality and the number of fish harvested per year suggest that removals may be driving increases in the grass carp mortality rate. This increase in mortality rate shows promise for controlling the spread of grass carp within the Lake Erie ecosystem. This research supports the needs of fishery managers to better understand grass carp population dynamics and the adaptive management framework identified in the Lake Erie Grass Carp Adaptive Response Strategy.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102606","usgsCitation":"Lang, K., Mayer, C.M., Dufour, M.R., Qian, S.S., Hintz, W.D., Kocovsky, P.M., Young, R., Acre, M.R., Weimer, E., Wilson, T., Kemp, C., Dettmers, J., Nathan, L., and Brown, R., 2025, Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response: Journal of Great Lakes Research, v. 51, no. 4, 102606, 10 p., https://doi.org/10.1016/j.jglr.2025.102606.","productDescription":"102606, 10 p.","ipdsId":"IP-154267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492342,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102606","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.62623310480353,\n 43.01602308294784\n ],\n [\n -84.31052781273128,\n 43.01602308294784\n ],\n [\n -84.31052781273128,\n 40.77795698325497\n ],\n [\n -78.62623310480353,\n 40.77795698325497\n ],\n [\n -78.62623310480353,\n 43.01602308294784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lang, Kaitlen","contributorId":358050,"corporation":false,"usgs":false,"family":"Lang","given":"Kaitlen","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":943185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Christine M","contributorId":195893,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":943186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song S. 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0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943193,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilson, Tammy Michelle 0000-0001-8570-6069","orcid":"https://orcid.org/0000-0001-8570-6069","contributorId":339888,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy Michelle","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943194,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kemp, Chris M.","contributorId":351499,"corporation":false,"usgs":false,"family":"Kemp","given":"Chris M.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943195,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dettmers, John M.","contributorId":341569,"corporation":false,"usgs":false,"family":"Dettmers","given":"John M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":943196,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nathan, Lucas","contributorId":236997,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural 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zebrafish (Danio rerio) exposed to Deepwater Horizon crude oil","docAbstract":"Polycyclic aromatic hydrocarbons (PAHs) are toxic constituents of crude oil that can induce cardiac dysfunction and vision impairment in early life stage (ELS) fishes. However, it is currently unknown whether visual impairments are independent effects or if they result from underlying PAH cardiotoxicity. To better understand this mechanism, microinjection of microRNA 133b (miR133b) was used to impair cardiac development in ELS zebrafish (injected at <1.25 hpf). Vision and cardiac endpoints were compared between miR133b-injected and oil-exposed zebrafish (4–72 hpf, 54.68–60.41 µg/L tPAH50) to determine the influence of cardiac dysfunction and oil exposure on visual function. At 7 dpf, pericardial area and eye area were measured, and visual function was assessed by optokinetic response (OKR). Over 94 % of miR133b larvae and 45 % of oil-exposed larvae exhibited pericardial edema. Across treatments, there was a strong negative linear correlation between pericardial area and eye area (r=-0.839, p < 0.0001). All miR133b larvae that exhibited pericardial edema and 18 % of the oil-exposed larvae that exhibited pericardial edema also exhibited reduced eye area (microphthalmia). In both the miR133b and oil groups, OKR was significantly reduced in larvae exhibiting pericardial edema (p < 0.0001) and in larvae exhibiting reduced eye area (p < 0.0001). A negative binomial generalized linear model (GLM) indicated that reduced eye area (p < 0.0001), rather than pericardial edema (p = 0.76), was a significant predictor of OKR. However, pericardial edema was strongly correlated with reduced eye area across treatments. These results suggest that visual effects may result from an interaction of cardiotoxicity as well as direct impacts to the visual system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107453","usgsCitation":"Leads, R.R., Magnuson, J.T., Greer, J.B., Green, C.S., Schlenk, D., and Roberts, A.P., 2025, Influence of cardiotoxicity on visual function in developing zebrafish (Danio rerio) exposed to Deepwater Horizon crude oil: Aquatic Toxicology, v. 286, 107453, 12 p., https://doi.org/10.1016/j.aquatox.2025.107453.","productDescription":"107453, 12 p.","ipdsId":"IP-176225","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leads, Rachel R.","contributorId":365676,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","middleInitial":"R.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Corey S.","contributorId":365677,"corporation":false,"usgs":false,"family":"Green","given":"Corey","middleInitial":"S.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":954602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Aaron P.","contributorId":365678,"corporation":false,"usgs":false,"family":"Roberts","given":"Aaron","middleInitial":"P.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268995,"text":"70268995 - 2025 - Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","interactions":[],"lastModifiedDate":"2025-07-14T14:55:27.547761","indexId":"70268995","displayToPublicDate":"2025-06-06T07:50:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","docAbstract":"Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies asynchronously and to varied extents across the lower four lakes, impacting fish Hg exposure. To test if fish are adapting to new biogeochemical conditions, we analyzed a 40 year fish archive for carbon and nitrogen isotope ratios and amino acid-specific nitrogen isotope ratios. To assess Hg sources, we measured Hg isotope ratios. We reconstructed and compared energetic pathways that impact fish Hg concentrations to Hg-source trends. We found fish-Hg concentrations are declining but not monotonically due to ecological disturbances. Fish-Hg isotope values, unimpacted by ecological disturbance, confirm that sources of bioaccumulated Hg shift contemporaneously with changes in atmospheric Hg concentrations. Across Lakes, the degree of responsiveness to changes in atmospheric Hg concentrations mirrors the proportion of atmospheric-delivered Hg we previously modeled. Changes in both fish concentrations and fish isotope values outpace paleolimnetic reconstructions suggesting declines in atmospheric Hg concentrations impact fish Hg more than sediment.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c01359","usgsCitation":"Lepak, R., Hoffman, J.C., Janssen, S., Tate, M., Gordon, M., Mahon, M.B., Rumschlag, S.L., Yarnes, C.T., Lennel, B., Krabbenhoft, D.P., Ogorek, J.M., and Hurley, J., 2025, Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions: Environmental Science and Technology, v. 59, no. 23, p. 11799-11808, https://doi.org/10.1021/acs.est.5c01359.","productDescription":"10 p.","startPage":"11799","endPage":"11808","ipdsId":"IP-167665","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":505505,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942854,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science 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Idaho","interactions":[],"lastModifiedDate":"2025-08-14T19:19:57.880107","indexId":"sir20255020","displayToPublicDate":"2025-06-05T13:12:11","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":"2025-5020","displayTitle":"Paleomagnetic Correlation of Surface and Subsurface Basalt Flows in the Central and Southwestern Part of the Idaho National Laboratory, Idaho","title":"Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 22 coreholes to construct 3 fence diagrams of subsurface basalt flows in the southern part of the Idaho National Laboratory. These diagrams provide comprehensive descriptions of the horizontal and vertical distribution of basalt flows and sediment layers beneath the surface, aiding geological studies and contributing valuable data to numerical models of groundwater flow and contaminant transport. The correlations established though these diagrams include spatial correlations between basalt flows found in multiple coreholes. Correlations were identified by matching average paleomagnetic inclinations and confirming or denying these correlations using petrology, geochemistry and radiometric ages.
The fence diagrams aid in identifying potential locations of subsurface vents, volcanic vents that have been buried by more recent volcanic activity, associated to subsurface basalt flows. By tracing the subsurface flows and analyzing where the greatest thickness occurs, the locations of buried vents can be inferred. Some subsurface flows exhibit correlations across several coreholes and may indicate yet unidentified surface or buried vents, thereby enhancing our understanding of the volcanic history and subsurface geology of the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255020","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22263","usgsCitation":"Hodges, M.K.V., Trcka, A.R., and Champion, D.E., 2025, Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2025–5020, 38 p., 1 pl., https://doi.org/10.3133/sir20255020.","productDescription":"Report: vi, 38 p.; 1 Plate: 50.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107892","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":489517,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5020"},{"id":489516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020"},{"id":489515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5020/coverthb.jpg"},{"id":489518,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020_plate1.pdf","text":"Plate 1","size":"476 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020 Plate 1","linkHelpText":"- Subsurface stratigraphic fence diagrams interpreted from paleomagnetic inclination data from coreholes in the southern part of the Idaho National Laboratory, Idaho, pl. 1"},{"id":489519,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTUTU8","text":"USGS data release","description":"USGS data release","linkHelpText":"Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho"},{"id":489520,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5020/images"},{"id":489521,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.XML"},{"id":494133,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118634.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.5,\n 43.75\n ],\n [\n -113.125,\n 43.75\n ],\n [\n -113.125,\n 43.26602031163614\n ],\n [\n -112.5,\n 43.26602031163614\n ],\n [\n -112.5,\n 43.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520
The “Graviquake” model, proposed in 2015 as an alternative to the elastic dislocation model, posits that normal faults are passive features dominated by coseismic gravitational collapse into a dilated crustal wedge, and that normal faulting is fundamentally distinct from strike‐slip and reverse faulting. Developed using finite‐element modeling before the 2016 central Apennines earthquake sequence, the model was revamped based on interpreted Differential Interferometric Synthetic Aperture Radar data from these events and used as evidence for a gravitational collapse episode. However, this interpretation relies on miscalculated elevation changes and is not corroborated by independent geophysical and seismological observations. Our analysis exposes fundamental flaws in the Graviquake model. By assuming that faults are passive players, it underrepresents the dynamic role of strain accumulation and release in rocks adjacent to faults. The hypothesized rapid expulsion of overpressurized fluids appears inconsistent with observed diffusion rates and lacks supporting seismological evidence. Part of the uplifted–subsided volume imbalance is likely an artifact arising from data processing, and in part is a transient effect due to the delayed response of the lower crust. Moment tensor analyses detect no isotropic components indicative of gravitational collapse, and observed ground motion and stress‐drop levels remain fully consistent with elastic dislocation theory. In addition, finite‐element modeling of normal faulting replicates observed surface deformation without invoking a collapsing wedge. The Graviquake model proposes a representation of normal‐faulting mechanics that differs significantly from established models and observations. Gravity does play a role in normal faulting, but the elastic dislocation theory remains the definitive framework of fault mechanics. Reinterpreting the 2016 earthquakes as a cascade of gravitational episodes, based on incorrect data processing and modeling, fails to substantiate the Graviquake hypothesis. Persistence in advocating this model could mislead seismic hazard assessment and undermine our understanding of normal faulting.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240279","usgsCitation":"Malagnini, L., Dreger D.., Parsons, T.E., Valensise, G., Michelini, A., and De Natale, G., 2025, Do Graviquakes exist?: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2073-2095, https://doi.org/10.1785/0120240279.","productDescription":"23 p.","startPage":"2073","endPage":"2095","ipdsId":"IP-173869","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492248,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240279","text":"Publisher Index Page"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreger D..","contributorId":358033,"corporation":false,"usgs":false,"family":"Dreger D..","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":943099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valensise, G.","contributorId":358034,"corporation":false,"usgs":false,"family":"Valensise","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michelini, A.","contributorId":358035,"corporation":false,"usgs":false,"family":"Michelini","given":"A.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Natale, G.","contributorId":358036,"corporation":false,"usgs":false,"family":"De Natale","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267954,"text":"70267954 - 2025 - A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","interactions":[],"lastModifiedDate":"2025-06-09T14:55:20.441118","indexId":"70267954","displayToPublicDate":"2025-06-05T09:52:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","docAbstract":"The recent steep decline of the endangered North Atlantic right whale Eubalaena glacialis can be attributed to high mortality combined with low reproduction. While the former is a clear result of anthropogenic activity, the latter involves more complexity. Evidence suggests that both short-term fluctuations in prey availability and long-term decline in health are responsible for depressed right whale calving rates. To facilitate an assessment of extinction risk, we developed a multistate capture-recapture model that estimated the probability of calving using extensive sightings data from 1990-2019. The model estimated sub-lethal effects of severe injury on calving probability and modeled temporal variability in calving as related to indices of prey availability (Calanus spp. biomass) and an apparent regime shift. The average annual probability of calving for known-breeding females, given average prey conditions, decreased from 0.217 [95% CI: 0.162, 0.281] to 0.142 [95% CI: 0.067, 0.252] after the 2010 regime shift. The model indicated strong evidence of a relationship between calving probability and the prey index from the eastern Gulf of Maine, although this relationship effectively disappeared after 2010; moderate evidence for a relationship with prey from the southwest Gulf of St. Lawrence remained. Weak evidence of reduced calving probability due to severe injury resulted from low sample sizes, given increased mortality for individuals observed with severe injuries. The regime effect is hypothesized to be capturing a long-term decline in health due to a combination of decreasing habitat quality resulting from climate change and potentially chronic sublethal injuries (e.g. entanglements). Our reproduction model provides demographic parameter estimates that can be used in population projections for North Atlantic right whales, although uncertainty remains in the mechanisms responsible for recent declines in calving.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01406","usgsCitation":"Linden, D., Pace, R., Garrison, L.P., Hostetler, J.A., Knowlton, A., Lesage, V., Williams, R., and Runge, M.C., 2025, A multistate capture-recapture model to estimate reproduction of North Atlantic right whales: Endangered Species Research, v. 57, p. 91-102, https://doi.org/10.3354/esr01406.","productDescription":"12 p.","startPage":"91","endPage":"102","ipdsId":"IP-157964","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01406","text":"Publisher Index Page"},{"id":490260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":939767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pace, Richard M III","contributorId":352277,"corporation":false,"usgs":false,"family":"Pace","given":"Richard M","suffix":"III","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":939768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":939769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":939770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":939771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lesage, Veronique","contributorId":352311,"corporation":false,"usgs":false,"family":"Lesage","given":"Veronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":939772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":939773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939774,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267921,"text":"70267921 - 2025 - Global tracking of marine megafauna space use reveals how to achieve conservation targets","interactions":[],"lastModifiedDate":"2025-06-06T16:35:47.740313","indexId":"70267921","displayToPublicDate":"2025-06-05T09:49:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Global tracking of marine megafauna space use reveals how to achieve conservation targets","docAbstract":"The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of highly mobile marine megafauna, showing that 63% of the area that they cover is used 80% of the time as important migratory corridors or residence areas. The GBF 30% threshold (Target 3) will be insufficient for marine megafauna’s effective conservation, leaving important areas exposed to major anthropogenic threats. Coupling area protection with mitigation strategies (e.g., fishing regulation, wildlife-traffic separation) will be essential to reach international goals and conserve biodiversity.
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Photosynthetic biofilms dominated by diatoms, cyanobacteria, and chlorophytes represent a significant fraction of biofilm biomass and contain pigments that can be detected with remote sensing. These diverse biofilm community types vary in indicator pigments and functional traits related to biogeochemical cycling and nutritional quality. We modeled and mapped spatial variation in intertidal biofilm distribution, quantity, diversity, and functional traits using multi-scale spectroscopic data collected within southern San Francisco Bay, California, USA (South SFB). We developed a new biofilm index (B-index) from 5 mm HySpex spectra to detect biofilm presence. We developed single and multiple response partial least squares regression (PLS) models of chlorophyll-a (chl-a; biomass indicator), indicator pigments: fucoxanthin and diadinoxanthin (diatoms), zeaxanthin (cyanobacteria), and chl-b (chlorophytes), and functional traits: carbohydrates, lipids, and total organic carbon from paired in situ biofilm data and field spectra. The B-index and PLS models were scaled to South SFB with a 3.7 m AVIRIS-NG hyperspectral image. The model %RMSE calculated from AVIRIS-NG test samples ranged from 12.7% for chl-a to 49% for chl-b; for six of the eight models, %RMSE was 23% or below. Mapped community types differed in mapped traits, with average lipid concentrations three times higher in areas indicated as diatoms compared to other groups. Available maps depict for the first time the spatial variation of an important shorebird food resource and inform the contribution of intertidal biofilm in carbon and nutrient cycling.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008520","usgsCitation":"Byrd, K.B., Palacios, S., Taylor, N.C., Woo, I., Moskal, S.M., Kokaly, R.F., Hoefen, T.M., Chapman, J., and De La Cruz, S.E., 2025, Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity: JGR Biogeosciences, v. 130, no. 6, e2024JG008520, 23 p., https://doi.org/10.1029/2024JG008520.","productDescription":"e2024JG008520, 23 p.","ipdsId":"IP-171397","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":490197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.29763416548646,\n 37.65\n ],\n [\n -122.29763416548646,\n 37.415152793804396\n ],\n [\n -121.93300968918774,\n 37.415152793804396\n ],\n [\n -121.93300968918774,\n 37.65\n ],\n [\n -122.29763416548646,\n 37.65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palacios, Sherry L.","contributorId":356406,"corporation":false,"usgs":false,"family":"Palacios","given":"Sherry L.","affiliations":[{"id":81898,"text":"CSU Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":939329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Nicole Chin 0000-0002-8094-2246","orcid":"https://orcid.org/0000-0002-8094-2246","contributorId":302295,"corporation":false,"usgs":true,"family":"Taylor","given":"Nicole","email":"","middleInitial":"Chin","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moskal, Stacy M. 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thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapman, John","contributorId":352622,"corporation":false,"usgs":false,"family":"Chapman","given":"John","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":939335,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La 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respond to management actions is critical for making effective management decisions. This study provides important information regarding population demographics for a nonnative, hatchery-implemented population of White Sturgeon Acipenser transmontanus. We investigated the population dynamics of White Sturgeon in the upper Snake River, Idaho, and developed an age-structured population model to evaluate potential stocking and harvest scenarios (e.g., length limits and annual quotas).
White Sturgeon were sampled from June to October 2022 and from June to August 2023 using angling (i.e., rod and reel) and setlines from a 260-km-long section of the Snake River. Capture histories from 261 known-age White Sturgeon informed age and growth analysis and an evaluation of movement trends. A closed-population capture–recapture model and an estimate of setline-specific catchability were used to estimate the total abundance of White Sturgeon in the upper Snake River. Apparent survival for the population was estimated using a Cormack–Jolly–Seber model. Finally, a population model was parameterized using information on the population dynamics of White Sturgeon in the upper Snake River. The model was used to estimate the effects of varying stocking rates and harvest scenarios (i.e., harvest slot of 76–122 cm fork length [FL] and annual quotas of 0–25 White Sturgeon harvested) on the population.
In total, 340 individual White Sturgeon were captured throughout the study area, with 181 recapture events. Individuals varied in FL from 54 to 205 cm, and the mean relative weight for captures was 105.2 (SD = 14.4), suggesting relatively high body condition. Age varied from 2 to 25 years, and White Sturgeon moved an average of 8.1 km (SD = 23.5) downstream from stocking locations. Estimated abundance of White Sturgeon in the tailwaters of American Falls Dam was 428 fish (95% CI = 403–463). That abundance estimate was used to inform a total abundance estimate of 887 White Sturgeon (95% CI = 835–960) in the study area. Apparent annual survival was 0.79 (95% CI = 0.64–0.89). A stocking rate of 285 age-2 White Sturgeon/year was necessary to maintain current abundance. For every five fish harvested (harvest slot = 76–122 cm FL) per year, estimated abundance decreased by about 2.2% over 20 years.
Our research identified fast growth of White Sturgeon relative to other populations and relatively high mortality for a White Sturgeon population without exploitation. Also, like other studies evaluating harvest, a population model was used to illustrate the effect of varying rate functions on a fishery. The age-structured population model suggested that a harvest fishery is possible while still meeting management goals for the upper Snake River White Sturgeon fishery.
Changes in vegetation cover are occurring across sub-Saharan Africa and can have substantial effects on ecological communities, but limited data make understanding status and trends difficult for many taxa. We surveyed birds for several decades across Uganda using point counts. Using time-to-detection analysis in a trait-informed Bayesian multi-species occupancy framework, we model bird species richness as a function of year and local tree cover across 28 sites. We test for trends in richness and occupancy, and for the relationship between these and local and landscape-scale tree cover. Species richness increased at 75% of sites through the study period, and generalist bird species were most likely to be increasing in occupancy. Forest specialist bird species, and to a lesser extent generalists, responded positively to tree cover. Woody cover is changing across Uganda, with declines most pronounced in areas with the highest tree cover. This is likely to be causing declines in forest specialist species while favouring generalists. When tree cover decline is caused by conversion to croplands, rather than transitions to grasslands, grassland specialists are unlikely to benefit. Effects of climate and land use change and population pressure are likely to continue to alter woody plant cover and thus affect East African bird communities.
","language":"English","publisher":"Wiley","doi":"10.1111/aje.70058","usgsCitation":"Burner, R.C., Adams, E.M., Pomeroy, D., Tushabe, H., Kibuule, M., Rostad, L., Venter, Z., and Sheil, D., 2025, Trends in richness and occupancy of Ugandan birds and relation to local tree cover: African Journal of Ecology, v. 63, no. 4, e70058, 21 p., https://doi.org/10.1111/aje.70058.","productDescription":"e70058, 21 p.","ipdsId":"IP-175842","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":490660,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/aje.70058","text":"Publisher Index Page"},{"id":490399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SPBYBF","text":"USGS data release","linkHelpText":"Uganda bird trends"},{"id":490194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uganda","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.86617,-1.02736],[30.76986,-1.01455],[30.4191,-1.13466],[29.82152,-1.44332],[29.57947,-1.34131],[29.58784,-0.58741],[29.8195,-0.2053],[29.87578,0.59738],[30.08615,1.06231],[30.46851,1.58381],[30.85267,1.8494],[31.17415,2.20447],[30.77332,2.33989],[30.83385,3.50917],[31.24556,3.7819],[31.88145,3.55827],[32.68642,3.79232],[33.39,3.79],[34.005,4.24988],[34.47913,3.5556],[34.59607,3.05374],[35.03599,1.90584],[34.6721,1.17694],[34.18,0.515],[33.89357,0.10981],[33.90371,-0.95],[31.86617,-1.02736]]]},\"properties\":{\"name\":\"Uganda\"}}]}","volume":"63","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":939320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":939321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, Derek","contributorId":356400,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Derek","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tushabe, Herbert","contributorId":356401,"corporation":false,"usgs":false,"family":"Tushabe","given":"Herbert","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kibuule, Micheal","contributorId":356402,"corporation":false,"usgs":false,"family":"Kibuule","given":"Micheal","affiliations":[{"id":84995,"text":"NatureUganda","active":true,"usgs":false}],"preferred":false,"id":939324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Lars Jørgen","contributorId":356403,"corporation":false,"usgs":false,"family":"Rostad","given":"Lars Jørgen","affiliations":[{"id":84996,"text":"Norconsult AS","active":true,"usgs":false}],"preferred":false,"id":939325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venter, Zander S.","contributorId":356404,"corporation":false,"usgs":false,"family":"Venter","given":"Zander S.","affiliations":[{"id":84997,"text":"wegian Institute for Nature Research - NINA","active":true,"usgs":false}],"preferred":false,"id":939326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheil, Douglas","contributorId":356405,"corporation":false,"usgs":false,"family":"Sheil","given":"Douglas","affiliations":[{"id":84998,"text":"Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":939327,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267972,"text":"70267972 - 2025 - Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","interactions":[],"lastModifiedDate":"2025-07-10T14:52:39.543071","indexId":"70267972","displayToPublicDate":"2025-06-04T09:28:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","docAbstract":"The establishment of a reservoir species for zoonotic diseases is concerning for both animal and human health. Severe acute respiratory syndrome coronavirus (SARS-CoV)-2, the coronavirus responsible for the COVID-19 pandemic, has been detected in white-tailed deer (Odocoileus virginianus) in the United States. Since its initial detection, various studies have documented circulation and evolution of SARS-CoV-2 in deer, with human cases suspected of spill-back from infectious deer. A priority for mitigating SARS-CoV-2 outbreaks in deer populations is determining the contribution of direct (via aerosols and physical contact) and indirect (via contaminated objects and media) transmission pathways. We expanded existing epidemiological models founded on direct transmission pathways to include three indirect transmission pathways of infection for simulated deer populations, including contaminated water, food waste, and feed piles. Despite lower infection probabilities and transmission hazards (measured by force-of-infection (FOI)) posed solely by these indirect pathways compared to direct transmission pathways, the addition of indirect transmission pathways increased FOI, which had ramifications for the severity of SARS-CoV-2 outbreaks in simulated deer populations, particularly in populations with low degrees of spread between deer (measured by basic reproductive number; R0). We used contact rate models to estimate SARS-CoV-2 spread across deer range in the United States and identified widespread potential for indirect transmission to increase the severity of outbreaks in low-density deer populations. These results indicate that indirect transmission pathways need to be considered in the management of white-tailed deer as a reservoir species for SARS-CoV-2.
","language":"English","publisher":"Wiley","doi":"10.1155/tbed/1352911","usgsCitation":"Rosenblatt, E., Cook, J.D., DiRenzo, G.V., Campbell Grant, E.H., Runge, M.C., and Mosher, B., 2025, Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations: Transboundary and Emerging Diseases, v. 2025, 352911, 13 p., https://doi.org/10.1155/tbed/1352911.","productDescription":"352911, 13 p.","ipdsId":"IP-166277","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490309,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490627,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/tbed/1352911","text":"Publisher Index Page"},{"id":491310,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P19KKRVV","text":"USGS data release","linkHelpText":"Code for Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer Odocoileus virginianus populations"}],"volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenblatt, Elias","contributorId":276324,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":939832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":939833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mosher, Brittany 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":216035,"corporation":false,"usgs":true,"family":"Mosher","given":"Brittany","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268931,"text":"70268931 - 2025 - Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.","interactions":[],"lastModifiedDate":"2025-07-11T15:43:07.67574","indexId":"70268931","displayToPublicDate":"2025-06-04T08:34:30","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":"Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.","docAbstract":"Wildlife management in the United States of America (US) is primarily delegated to the individual states wherein state wildlife agencies manage wildlife populations to achieve multiple and sometimes conflicting objectives. White-tailed deer (Odocoileus virginianus) are an important species in the Midwestern US whose populations are primarily managed through recreational hunting. Managers aim to adjust populations by altering the harvest of antlerless (usually female) animals by changing the number of harvest permits available, hunting season lengths, or applying incentive programs like earn-a-buck, where a hunter must harvest an antlerless deer before they may harvest an antlered deer. We estimated the effect on antlerless deer harvest from changes in these regulations and changes in the number of licensed hunters across eight states in the Midwest. We used a Bayesian hierarchical model to estimate individual state and regional (i.e., across all states) effects. We found that increasing antlerless harvest permits increased antlerless harvest; however, this effect plateaued as the number of available permits increased. Providing unlimited harvest permits increased harvest, but the same increases were achieved by minimally increasing the number of limited harvest permits. Increasing the length of hunting season had a generally positive effect on antlerless harvest but the effect was non-linear and state dependent. The earn-a-buck incentive program resulted in the largest estimated increase in harvest. Finally, the number of licensed deer hunters in a state had a strong positive effect on the number of antlerless deer harvested. Our findings show that commonly applied changes in harvest regulations have a weak effect on the number of antlerless deer harvested, highlighting the challenges facing deer managers in the Midwestern US.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0324708","usgsCitation":"Draper, J., Brandell, E., Isabelle, J., Jacques, C., McCoy, C., Michel, E., Storm, D., Ott-Conn, C., Wojcik, B., Turner, W.C., and Walsh, D.P., 2025, Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.: PLoS ONE, v. 20, no. 6, e0324708, 16 p., https://doi.org/10.1371/journal.pone.0324708.","productDescription":"e0324708, 16 p.","ipdsId":"IP-174116","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0324708","text":"Publisher Index Page"},{"id":492150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, 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A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular observation of surface water extents with optical satellite imagery. In this study, we leveraged the daily resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data to create a continuous series of monthly Dynamic Surface Water Extent (DSWEmod) images across the Central Valley from January 2003 to January 2023. We used the timeseries to assess the climatic driving forces of winter (Oct–April) surface water variability at sub-basin and pixel scales. At the sub-basin scale, we evaluated the influences of winter precipitation, occurrence of atmospheric rivers, and antecedent soil moisture on monthly surface water extents and found that the greatest correspondence occurs in mid-winter (Dec–Feb); in contrast, non-precipitation drivers such as water management play a stronger role in autumn and spring. The pixel-level analysis identified the probabilities of precipitation-driven surface water occurrences in the Sacramento basin are highest along rivers, conveyance channels, and floodways, with higher probabilities under wetter antecedent soil moisture conditions. Precipitation-driven surface water occurrences are also common in leveed areas and outside flood boundaries designated by state and federal agencies where exposure of structures to inundation was larger in terms of their value. Finally, areas with more frequent precipitation-driven flooding have poor recharge potential but are commonly within 5 km of areas classified as having good potential. This study demonstrates a novel approach for exploring the utility of MODIS for understanding surface water dynamics in mid-winter, a period characterized by peak precipitation, flood risk, and surface water extent. This information can provide valuable insights for (1) assessing flood risks for infrastructure and populations, (2) identifying areas most suited to strategic water management investments to increase recharge, and (3) analyzing precipitation thresholds that trigger flooding to allow proactive water management strategies to minimize damage and maximize recharge.
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datasets","interactions":[],"lastModifiedDate":"2025-06-23T15:25:59.175515","indexId":"70267839","displayToPublicDate":"2025-06-02T09:11:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets","docAbstract":"Landsat Analysis Ready Data (ARD)-based time-series present challenges in monitoring surface urban heat islands (SUHI) due to rapid changes in land surface temperature (LST) compared to cloud-free satellite observations. This research investigates the use of a spatiotemporal gap-filling model as a feasible and cost-effective solution to produce Landsat time-series LST products with both high spatial resolution and temporal frequency. The study identified and filled Landsat ARD thermal times-series data gaps due to missing data, cloud and shadow effects, and data quality. The accuracy of Landsat gap-filled products was assessed using randomly selected clear observations of Landsat and uncertainty products from the gap-filling model and was evaluated using various existing temperature datasets, including climate data from NOAA Global Historical Climate Network station observations, Daily Surface Weather and Climatological Summaries (DAYMET), and LST including MODIS, VIIRS and ECOSTRESS. The result suggests that the gap-filled Landsat LST has significant correlations with existing datasets including field observation and remote sensing data derived from other sensors that have similar monthly and seasonal variation patterns. The uncertainty maps show spatial distributions of uncertainty for gap-filled pixels that have high or low uncertainties. The Landsat gap-filled time-series datasets can be used to measure annual, seasonal, or even monthly landscape thermal conditions, which are useful for SUHI and relevant research, and to perform multi-decade time-series LST change analysis under climate change conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2025.2505254","usgsCitation":"Shi, H., and Xian, G.Z., 2025, Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets: International Journal of Remote Sensing, v. 46, no. 12, p. 4559-4582, https://doi.org/10.1080/01431161.2025.2505254.","productDescription":"24 p.","startPage":"4559","endPage":"4582","ipdsId":"IP-160289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":939092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267826,"text":"70267826 - 2025 - Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","interactions":[],"lastModifiedDate":"2025-06-23T15:24:34.127021","indexId":"70267826","displayToPublicDate":"2025-06-02T09:01:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","docAbstract":"Managing per- and polyfluoroalkyl substances (PFAS) in water resources requires a basin-scale approach. Predicted environmental concentrations (PEC) and stream-vulnerability scores for PFAS were determined for the Potomac River watershed in the eastern United States. Approximately 15% of stream reaches contained municipal and/or industrial wastewater treatment plant (WWTP) discharges that are presumptive PFAS sources, comprising from <1 to >90% of streamflow. Mean annual PEC, based on the summed concentrations of eight PFAS detected in WWTP effluents (ΣPFASPEC), for all stream reaches in the watershed was 3.8 ng L–1, and stream reaches impacted by WWTP had perfluorooctanoate (PFOA) and perfluorooctanesulfonate (PFOS) PEC of 0.39 and 0.14 ng L–1. For locations where measured-environmental concentrations (MEC) were determined, municipal and industrial WWTP contributed 7.8% (0 to 65%) of the total annual streamflow and MEC were greater than PEC in 99% of the samples, indicating additional potential PFAS sources. The mean ΣPFASPEC was 9.1 ng L–1 compared to a mean sum of PFAS MEC of 34 ng L–1. Under mean-August low-flow, 17% and 9.4% of the water-supply intakes had maximum PFOA and PFOS PEC exceeding drinking water maximum contaminant levels.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12167","usgsCitation":"Barber, L., Miller, S.A., Blaney, L., Bradley, P., Faunce, K.E., Fleck, J., Frick, M., He, K., Hollins, R., Lewellyn, C., Majcher, E.H., McAdoo, M.A., and Smalling, K., 2025, Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach: Environmental Science and Technology, v. 59, no. 23, p. 11720-11734, https://doi.org/10.1021/acs.est.4c12167.","productDescription":"15 p.","startPage":"11720","endPage":"11734","ipdsId":"IP-159910","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":491461,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1021/acs.est.4c12167.","text":"External Repository"},{"id":489484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.39010453967498,\n 38.752691597185276\n ],\n [\n -77.41287188588434,\n 38.37965397161355\n ],\n [\n -76.30362109061913,\n 37.744281422513666\n ],\n [\n -76.21247602177843,\n 37.93634553642505\n ],\n [\n -76.74054284099122,\n 38.365258541059845\n ],\n [\n -77.04066573194639,\n 38.78820834695361\n ],\n [\n -77.39010453967498,\n 38.752691597185276\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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2025 - Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","interactions":[],"lastModifiedDate":"2025-06-03T15:27:01.898775","indexId":"70267807","displayToPublicDate":"2025-06-02T08:22:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","docAbstract":"Contamination of groundwater by oil-field fluids in proximity to oil and gas development has been an issue of concern to water users and regulators given long histories of development and legacy disposal practices. A robust set of geochemical tracers including petroleum hydrocarbon compounds, thermogenic gases, inorganic ion concentrations, stable isotopes, radioactive isotopes, and noble gases were used to assess if oil-field fluids mixed with groundwater near the Midway-Sunset and Buena Vista Oil Fields in California, USA. Results show evidence of mixing of oil-field fluids with groundwater within the study area from either anthropogenic or natural processes. Produced water plumes associated with modern surface disposal facilities, used since the late 1950s, extend up to 1.5 km and currently remain within the boundaries of the oil fields. Plumes associated with earlier routing of produced water down natural drainages and in large retention structures (Midway Basin and Sunset Basin) near the Buena Vista Lake Bed are present in groundwater east of the oil fields. Based on geochemical tracer evidence, aerial imagery, and aerial electromagnetic surveys, these legacy plumes reach the western portion of the Central Valley aquifer system, an important groundwater resource for agricultural and domestic supply. The legacy plume associated with Sunset Basin may further be detected downgradient in deeper groundwater beneath the southern extent of the Buena Vista Lake Bed based on the presence of thermogenic gases and petroleum hydrocarbon compounds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179637","usgsCitation":"Gannon, R., Landon, M.K., Kulongoski, J.T., Stephens, M.J., Ball, L.B., Warden, J.G., Davis, T., Gillespie, J.M., and Cozzarelli, I.M., 2025, Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA: Science of the Total Environment, v. 987, 179637, 21 p., https://doi.org/10.1016/j.scitotenv.2025.179637.","productDescription":"179637, 21 p.","ipdsId":"IP-141782","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":490170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.179637","text":"Publisher Index Page"},{"id":489465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Midway-Sunset and Buena Vista Oil Fields","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.92890453836446,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 35.40767723666424\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"987","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gannon, Riley 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lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938983,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 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Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","docAbstract":"Background
Severe fire weather is becoming more common throughout the western United States. Changing conditions demand a better understanding of how prescribed fire treatments perform under extreme burning conditions, including the interactive influence of the age of treatments, vegetation, and fire weather. The Carr Fire of July 2018 burned nearly the entire land area of Whiskeytown National Recreation Area (NRA) under extreme fuel moisture and temperature conditions. Prior to the Carr Fire and since 1997, staff at Whiskeytown NRA treated 23% of the 15,756-ha NRA using large-scale prescribed fire (underburn) treatments ranging in size from 40 to 400 hectares.
Methods
We used simultaneous autoregressive (SAR) models to describe the effects of landscape-scale fuel treatments on wildfire severity under extreme burning conditions and across diverse biophysical settings at Whiskeytown NRA. Because vegetation type and structure are known drivers of fire severity in diverse ecosystems such as at Whiskeytown NRA, we also considered three different sources of vegetation structure data, including a 2006 physiognomic-floristic classification, a 2011 lidar-based forest structure classification, and a 2016 Landfire map of existing vegetation physiognomy-subclass.
Results
The greatest effect on 2018 Carr Fire severity was time since treatment of underburn treatments, but treatment effectiveness on fire severity dissipated rapidly—showing notable effectiveness within 5 years of underburning but virtually no effectiveness beyond 10 years post-treatment. Additional factors related to severity included vegetation structure type, topographic position index, aspect, slope, temperature, and wind gust speed. Model variance explained and model parameters, including the effect of underburn treatments, were similar regardless of the source of vegetation structure data.
Conclusions
Our results show that large-scale underburning treatments can reduce wildfire severity even under extreme fire weather conditions but suggest that frequent maintenance intervals are required to maintain treatment effectiveness ahead of severe wildfire events.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00377-0","usgsCitation":"Beckman, J.J., van Mantgem, P.J., Wright, M., and Engber, E., 2025, Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area: Fire Ecology, v. 21, 35, 20 p., https://doi.org/10.1186/s42408-025-00377-0.","productDescription":"35, 20 p.","ipdsId":"IP-165481","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00377-0","text":"Publisher Index Page"},{"id":498548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.77239214268279,\n 40.681212821117555\n ],\n [\n -122.77239214268279,\n 40.474214754578185\n ],\n [\n -122.47725029049735,\n 40.474214754578185\n ],\n [\n -122.47725029049735,\n 40.681212821117555\n ],\n [\n -122.77239214268279,\n 40.681212821117555\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Beckman, Jill J.","contributorId":364982,"corporation":false,"usgs":false,"family":"Beckman","given":"Jill","middleInitial":"J.","affiliations":[{"id":87020,"text":"Northern Arizona University; Former USGS","active":true,"usgs":false}],"preferred":false,"id":953552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":222994,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engber, Eamon","contributorId":202777,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268065,"text":"70268065 - 2025 - U.S. national park units as breeding bird habitat: A comparison of species prevalence and land cover across the midwestern and central United States","interactions":[],"lastModifiedDate":"2025-06-12T14:00:50.756657","indexId":"70268065","displayToPublicDate":"2025-06-01T08:47:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2025/317","title":"U.S. national park units as breeding bird habitat: A comparison of species prevalence and land cover across the midwestern and central United States","docAbstract":"The value of national parks as bird habitat depends not only on local conditions within the parks, but also on the landscape habitat matrices in which they are located. However, the influences of local and landscape habitat matrices on birds vary by species and have not been quantified. Similarly, the trends of land cover types through time have not been systematically quantified for Midwest Region national parks and the landscapes around them, despite evidence of ongoing habitat loss exacerbated by climate change and human population growth. Managers and policy makers can use this information to understand and sustain the contribution of parks to our Nation’s avifauna.
We developed models using North American Breeding Bird Survey (BBS) data collected on routes from across the central United States. The models were used to predict occupancy of bird species of concern in 32 national park units across nine Bird Conservation Regions in the Midwest based on land cover in and around those parks. We then compared these predictions with data collected through National Park Service (NPS) bird surveys at each park to determine if bird species of concern were more or less prevalent than expected.
In each park, the mean difference between observed species detections and mean predicted detections indicates that most species are less frequently detected in the parks than predicted. However, when the range of uncertainty of predictions is considered, only 21% of park-bird combinations showed strong evidence (95%) of differing from expectation. Of these, species were less common than expected in the park in all but two cases.
These results indicate that some bird species of concern occupy sites in Midwest Region national park units at a rate roughly comparable to sites with similar land cover in the Bird Conservation Region (BCR) in which they occur. However, for one in five species-park combinations, parks appear to be less occupied than comparable sites elsewhere.