Studies have shown that digital surface models and point clouds generated by the United States Department of Agriculture’s National Agriculture Imagery Program (NAIP) can measure basic forest parameters such as canopy height. However, all measured forest parameters from these studies are evaluated using the differences between NAIP digital surface models (DSMs) and available lidar digital terrain models (DTMs). A survey of NAIP point cloud classification and related ground point-generated DTMs has not yet been undertaken. This study applies a Support Vector Machine (SVM) to classifying ground and nonground points from NAIP point clouds for test sites in Wyoming and Arizona, USA. Light detection and ranging (lidar) data from the U.S. Geological Survey 3D Elevation Program (3DEP) are used to validate the classified NAIP ground points and their corresponding DTMs. Comparing height differences between filtered NAIP ground points and 3DEP ground points, the SVM classifier’s results show that the vertical root mean square error value is 1.87 m and 1.69 m for the Wyoming and Arizona sites, respectively. If NAIP point clouds were continuously measured, the resulting availability of medium-resolution DTMs would benefit the application of multitemporal forest health monitoring and DTM generation.
Discharge of deeply sourced groundwater to streams is difficult to locate and quantify, particularly where both discrete and diffuse discharge points exist, but diffuse discharge is one of the primary controls on solute budgets in mountainous watersheds. The noble gas helium is a unique identifier of deep groundwater discharge because groundwater with long residence times is commonly enriched in helium. In this study, a portable mass spectrometer was used to measure longitudinal variation in dissolved helium concentrations in two mountainous rivers at high spatial resolution not feasible with traditional sampling techniques. Helium profiles were then simulated using a mass-balance model to quantify longitudinal variation in groundwater discharge to the receiving rivers. Results indicate helium concentrations were enriched by multiple orders of magnitude above atmospheric equilibrium in both rivers and that this persisted for up to 18 km below observed pulse inputs in the Colorado River. Helium mass-balance models match observed longitudinal patterns with the exception of sharp initial increases in helium observed in the rivers. Increased longitudinal groundwater discharge rates correspond to mapped geologic structures in both watersheds that likely transport deep geothermal water. Models show variable sensitivity to spatial assignment of input variables representing the groundwater source, illustrating the importance of collecting data from discrete groundwater discharges where possible. The methodology shows promise for field experiments designed to assess air–water exchange rates and to quantify total groundwater discharge from a combination of discrete and diffuse sources.
Silver Carp (Hypophthalmichthys molitrix) populations have established and expanded throughout the lower Mississippi River basin (LMRB). Information pertaining to Silver Carp population mixing among rivers within the LMRB is lacking. Documented relations between Silver Carp otolith and river water barium (Ba) and strontium (Sr) microchemical signatures may enable estimation of origins of Silver Carp in the LMRB. Replicate water samples and otoliths from 308 Silver Carp were collected from the Cache, Arkansas, White, Yazoo, St. Francis, L’Anguille, and Mississippi rivers, and Merrisach Lake (situated along a canal connecting the lower reaches of the Arkansas and White rivers) within the LMRB. Water and carp otolith microchemical signatures exhibited consistent differences among water bodies. A classification and regression tree model exhibited 80% accuracy when assigning carp collected from the White, Arkansas, and Mississippi rivers based on fish-water microchemical signatures. Model accuracy decreased as smaller rivers were incorporated into models. Predicted natal origin based on otolith microchemical signatures suggested the White River (43%) and the lower Mississippi River (39%) were the likely origins for ~ 82% of the Silver Carp sampled. Despite the prevalence of adult Silver Carp within the Arkansas River system, fewer (18%) appeared to have originated there compared to the White and Mississippi rivers. Long-term water sampling and additional isotopic measurements may refine analyses to better determine the relative contributions of Silver Carp from the smaller river systems. Population mixing of Silver Carp among tributary rivers appears to be common within the LMRB, and removal efforts may benefit from evaluating the magnitude of fish movement and connectivity among rivers.
Assisted migration is a means of introducing a species into a previously unoccupied area. Although this idea is relatively new for many species, there are many extant examples involving fish that can be instructive. We studied a case of assisted migration where upstream access of migrating adult coho salmon Oncorhynchus kisutch over a naturally impassible barrier was established through construction of fish ladders. Although these passage structures have successfully allowed coho salmon to colonize upstream locations, managers had concerns regarding how efficiently these structures passed fish, as well as questions regarding access to specific upstream habitats, and passage barriers further upstream. To address these concerns, we developed a stage-based population model to explore: (1) influences of passage over structures, (2) rearing habitats upstream of the structures, and (3) consequences of additional barriers to passage in the system. Model simulations suggest high fish passage at the ladders was associated with the highest smolt and adult abundance of coho salmon. The importance of passage was strongly influenced by juveniles rearing in a lake, where increased lake rearing at each passage scenario increased abundance of smolts and adults. Opening habitat further upstream was estimated to increase adult and smolt abundance up to 12%. Results of model simulations also helped to identify uncertainties that could be evaluated further (e.g., juvenile rearing in the lake). In general, our findings point to the importance of considering a full range of processes that can drive expected outcomes for assisted migration.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4355","usgsCitation":"Benjamin, J.R., Dunham, J., Scheidt, N., Rothenbuecher, C., and Sipher, C., 2024, Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics: River Research and Applications, v. 40, no. 10, p. 2009-2021, https://doi.org/10.1002/rra.4355.","productDescription":"13 p.","startPage":"2009","endPage":"2021","ipdsId":"IP-158160","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498297,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4355","text":"Publisher Index Page"},{"id":431563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.29673317980877,\n 44.305114347462364\n ],\n [\n -123.71555076750579,\n 44.305114347462364\n ],\n [\n -123.71555076750579,\n 43.946813166036065\n ],\n [\n -123.29673317980877,\n 43.946813166036065\n ],\n [\n -123.29673317980877,\n 44.305114347462364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheidt, Nicholas","contributorId":298910,"corporation":false,"usgs":false,"family":"Scheidt","given":"Nicholas","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":907107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rothenbuecher, Carla","contributorId":340405,"corporation":false,"usgs":false,"family":"Rothenbuecher","given":"Carla","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sipher, Cory","contributorId":340406,"corporation":false,"usgs":false,"family":"Sipher","given":"Cory","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907109,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256563,"text":"70256563 - 2024 - Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","interactions":[],"lastModifiedDate":"2024-10-24T11:05:47.527143","indexId":"70256563","displayToPublicDate":"2024-07-26T09:23:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","title":"Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","docAbstract":"It has been proposed that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that spread through human populations as a pandemic originated in Asian bats. There is concern that infected humans could transmit the virus to native North American bats; therefore, the susceptibility of several North American bat species to the pandemic virus has been experimentally assessed. Big brown bats (Eptesicus fuscus) were shown to be resistant to infection by SARS-CoV-2, whereas Mexican free-tailed bats (Tadarida brasiliensis) became infected and orally excreted moderate amounts of virus for up to 18 d postinoculation. Little brown bats (Myotis lucifugus) frequently contact humans, and their populations are threatened over much of their range due to white-nose syndrome, a fungal disease that is continuing to spread across North America. We experimentally challenged little brown bats with SARS-CoV-2 to determine their susceptibility and host potential and whether the virus presents an additional risk to this species. We found that this species was resistant to infection by SARS-CoV-2. These findings provide reassurance to wildlife rehabilitators, biologists, conservation scientists, and the public at large who are concerned with possible transmission of this virus to threatened bat populations.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-23-00114","usgsCitation":"Hall, J.S., Nashold, S., Hofmeister, E.K., Leon, A.E., Falendysz, E., Ip, H., Malave, C.M., Rocke, T.E., Carossino, M., Balasuriya, U.B., and Knowles, S., 2024, Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection: Journal of Wildlife Diseases, v. 60, no. 4, p. 924-930, https://doi.org/10.7589/JWD-D-23-00114.","productDescription":"7 p.","startPage":"924","endPage":"930","ipdsId":"IP-154474","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":432027,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 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ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-2305-519X","contributorId":269350,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 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Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":908018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carossino, Mariano","contributorId":245857,"corporation":false,"usgs":false,"family":"Carossino","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":908020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balasuriya, Udeni B.R.","contributorId":245862,"corporation":false,"usgs":false,"family":"Balasuriya","given":"Udeni","email":"","middleInitial":"B.R.","affiliations":[],"preferred":false,"id":908021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268348,"text":"70268348 - 2024 - Disturbance amplifies sensitivity of dryland productivity to precipitation variability","interactions":[],"lastModifiedDate":"2025-06-23T14:24:38.283187","indexId":"70268348","displayToPublicDate":"2024-07-26T09:22:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance amplifies sensitivity of dryland productivity to precipitation variability","docAbstract":"Variability of the terrestrial global carbon sink is largely determined by the response of dryland productivity to annual precipitation. Despite extensive disturbance in drylands, how disturbance alters productivity-precipitation relationships remains poorly understood. Using remote-sensing to pair more than 5600 km of natural gas pipeline corridors with neighboring undisturbed areas in North American drylands, we found that disturbance reduced average annual production 6 to 29% and caused up to a fivefold increase in the sensitivity of net primary productivity (NPP) to interannual variation in precipitation. Disturbance impacts were larger and longer-lasting at locations with higher precipitation (>450 mm mean annual precipitation). Disturbance effects on NPP dynamics were mostly explained by shifts from woody to herbaceous vegetation. Severe disturbance will amplify effects of increasing precipitation variability on NPP in drylands.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adm9732","usgsCitation":"Terry, T., Sala, O.E., Ferrenberg, S., Reed, S., Osborne, B., Jordan, S., Lee, S.R., and Adler, P., 2024, Disturbance amplifies sensitivity of dryland productivity to precipitation variability: Science Advances, v. 10, no. 30, eadm9732, 7 p., https://doi.org/10.1126/sciadv.adm9732.","productDescription":"eadm9732, 7 p.","ipdsId":"IP-161961","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adm9732","text":"Publisher Index Page"},{"id":491098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"30","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Tyson J.","contributorId":357248,"corporation":false,"usgs":false,"family":"Terry","given":"Tyson J.","affiliations":[{"id":85366,"text":"Department of Wildland Resources and the Ecology Center, Utah State University; Logan, 84322, USA","active":true,"usgs":false}],"preferred":false,"id":940897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sala, Osvaldo E.","contributorId":139047,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","email":"","middleInitial":"E.","affiliations":[{"id":12629,"text":"Arizona State University, Tempe, AZ (DETAIL TO BE ADDED)","active":true,"usgs":false}],"preferred":false,"id":940898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":940899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osborne, Brooke B.","contributorId":150739,"corporation":false,"usgs":false,"family":"Osborne","given":"Brooke B.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":940901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":228826,"corporation":false,"usgs":false,"family":"Jordan","given":"Samuel E.","affiliations":[],"preferred":false,"id":940902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adler, Peter B.","contributorId":338091,"corporation":false,"usgs":false,"family":"Adler","given":"Peter B.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":940904,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70257685,"text":"70257685 - 2024 - Computational approaches improve evidence synthesis and inform broad fisheries trends","interactions":[],"lastModifiedDate":"2024-08-23T14:19:04.530247","indexId":"70257685","displayToPublicDate":"2024-07-26T09:13:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Computational approaches improve evidence synthesis and inform broad fisheries trends","docAbstract":"Addressing ecological impacts with effective conservation actions requires information on the links between human pressures and localized responses. Understanding links is a priority for many conservation contexts, including the world's fresh waters, which face intensifying threats to disproportionately high species diversity, including more than half of the world's fish species. Literature synthesis can uncover links and highlight potential research gaps, yet can be very cumbersome and time consuming. Emerging tools like text mining can improve efficiency in extracting relevant information from vast scientific outputs. This study synthesizes evidence of direct anthropogenic threats to major inland fisheries and examines driver-impact-response patterns using coupled automated and manual text classification methods. We screened 9336 abstracts from 45 river basins of high importance to inland fish production; 1152 abstracts contained evidence of direct threats to fish. The most common documented drivers were pollution, dams, and fishing pressure, which were most strongly linked to decreased fitness, altered reproduction, and mortality, respectively. Strong impact-response links to pollution signal potential bias toward documenting acute threats that generate more visible and immediate impacts. The use of machine learning-based text classification performed best in classifying extraneous information. Results can inform the development of inland fisheries indicators and threat-based metrics, highlight possible evidence gaps in linking global drivers to fishery-level responses, and illustrate the application of a coupled synthesis approach for improved efficiency and extraction of information relevant to conservation outcomes. The associated user and interpretation guides address accessibility and technical barriers faced by conservation scientists to improve efficiency in evidence synthesis.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13167","usgsCitation":"Stokes, G.L., Lynch, A., Flores, J.V., Wong, J.P., Morang, C., Romulo, C., Funge-Smith, S., Valbo-Jorgensen, J., and Smidt, S.J., 2024, Computational approaches improve evidence synthesis and inform broad fisheries trends: Conservation Science and Practice, v. 6, no. 8, e13167, 17 p., https://doi.org/10.1111/csp2.13167.","productDescription":"e13167, 17 p.","ipdsId":"IP-137635","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13167","text":"Publisher Index Page"},{"id":433095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":911429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flores, John V.","contributorId":343559,"corporation":false,"usgs":false,"family":"Flores","given":"John","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Jesse P.","contributorId":264850,"corporation":false,"usgs":false,"family":"Wong","given":"Jesse","email":"","middleInitial":"P.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":911427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morang, Connor","contributorId":343560,"corporation":false,"usgs":false,"family":"Morang","given":"Connor","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romulo, Chelsie 0000-0003-1612-1969","orcid":"https://orcid.org/0000-0003-1612-1969","contributorId":221032,"corporation":false,"usgs":false,"family":"Romulo","given":"Chelsie","email":"","affiliations":[],"preferred":false,"id":911430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":220485,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911432,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911433,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70257712,"text":"70257712 - 2024 - Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","interactions":[],"lastModifiedDate":"2024-08-23T14:11:57.191191","indexId":"70257712","displayToPublicDate":"2024-07-26T09:08:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","title":"Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","docAbstract":"To predict the potential success of an invading non-native species, it is important to understand its dynamics and interactions with native species in the early stages of its invasion. In spatially implicit models, mathematical stability criteria are commonly used to predict whether an invading population grows in number in an early time period. But spatial context is important for real invasions as an invading population may first occur as a small number of individuals scatter spatially. The invasion dynamics are therefore not describable in terms of population level state variables. A better approach is spatially explicit individual-based modeling (IBM). We use an established spatially explicit IBM to predict the invasion of the non-native tree, Melaleuca quinquenervia (Cav.) Blake, to a native community in southern Florida. We show that the initial spatial distribution, both the spatial density of individuals and the area they cover, affects its success in growing numerically and spreading. The formation of a cluster of a sufficient number and density of individuals may be needed for the invader to locally outcompete the native species and become established. Different initial densities, identical in number and density but differing in random positions of individuals, can produce very different trajectories of the invading population through time, even affecting invasion success and failure.
","language":"English","publisher":"MDPI","doi":"10.3390/f15081308","usgsCitation":"Lu, Y., Xia, J., Holt, R., and DeAngelis, D., 2024, Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population: Forests, v. 15, no. 8, 1308, 18 p., https://doi.org/10.3390/f15081308.","productDescription":"1308, 18 p.","ipdsId":"IP-167809","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f15081308","text":"Publisher Index Page"},{"id":433094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Yuanming","contributorId":298492,"corporation":false,"usgs":false,"family":"Lu","given":"Yuanming","email":"","affiliations":[{"id":35560,"text":"Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":911490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, Junfei","contributorId":298493,"corporation":false,"usgs":false,"family":"Xia","given":"Junfei","email":"","affiliations":[{"id":64593,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":911491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Robert D.","contributorId":343600,"corporation":false,"usgs":false,"family":"Holt","given":"Robert D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":217986,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911493,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268933,"text":"70268933 - 2024 - Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls","interactions":[],"lastModifiedDate":"2025-07-11T14:24:48.999138","indexId":"70268933","displayToPublicDate":"2024-07-26T09:05:37","publicationYear":"2024","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":"Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls","docAbstract":"Natal dispersal is a key demographic trait that affects population dynamics, and intraspecific variation in dispersal affects gene flow among populations and source-sink dynamics. However, relatively little is known about the selective pressures and trade-offs that animals face when departing their natal area due to the logistical difficulties associated with monitoring animals during this critical life stage. We used a randomized block design to examine the selective pressure that influence dispersal timing in juvenile burrowing owls (Athene cunicularia) by experimentally altering both food and ectoparasites at 135 nests. We also examined the effects of local food abundance, ectoparasite loads, and parental departure on natal dispersal timing. Juvenile burrowing owls varied widely in natal dispersal timing, and phenotypic plasticity in dispersal timing was evident in juvenile owls’ response to our experimental treatments, local conditions, and their parents’ departure from the natal area. Moreover, juveniles responded differently than their parents to experimental manipulation of food and ectoparasite loads. Juveniles typically dispersed shortly after their parents departed the natal area, but delayed dispersing more than 2 weeks after parental departure if they did not receive experimental food supplements during a low-food year. In contrast, the experimental food supplements did not affect the migratory departure decisions of adult owls in either year. Juveniles at nests treated for ectoparasites initiated dispersal at a younger age (and prior to adults in the high-food year) compared to juveniles at control nests. In contrast, parents at nests treated for ectoparasites departed later than parents at control nests. Our results suggest that unfavorable conditions (low food or high ectoparasite loads) caused juveniles to delay dispersal, but prompted adults to depart sooner. Our results highlight the extent of intraspecific variation in natal dispersal timing, and demonstrate that ecological conditions affect dispersal decisions of parents and offspring differently, which can create important trade-offs that likely affect life history strategies and responses to climatic changes.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0306660","usgsCitation":"Garcia, V., Conway, C.J., and Nadeau, C., 2024, Experimental changes in food and ectoparasites affect dispersal timing in juvenile burrowing owls: PLoS ONE, v. 06, no. 7, e0306660, 18 p., https://doi.org/10.1371/journal.pone.0306660.","productDescription":"e0306660, 18 p.","ipdsId":"IP-124921","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0306660","text":"Publisher Index Page"},{"id":492127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Adams County, Grant 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Victoria","contributorId":357819,"corporation":false,"usgs":false,"family":"Garcia","given":"Victoria","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":357820,"corporation":false,"usgs":false,"family":"Nadeau","given":"Christopher P.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":942660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257184,"text":"70257184 - 2024 - Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","interactions":[],"lastModifiedDate":"2024-08-13T12:01:50.854485","indexId":"70257184","displayToPublicDate":"2024-07-26T06:55:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18329,"text":"ACS Omega","active":true,"publicationSubtype":{"id":10}},"title":"Insights on using solid bitumen reflectance as a thermal maturity proxy in the Bakken Formation, Williston Basin, USA","docAbstract":"To further refine the use of solid bitumen reflectance (BRo in %) as a measurement of thermal maturity in source-rock reservoirs, we examined its relationship to other thermal proxies in the Bakken Formation. Comparisons included criteria from programmed temperature pyrolysis, gas chromatography (GC), and Fourier transform infrared (FTIR) spectroscopy. Thirty-two organic-rich samples from the lower and upper shale members of the Devonian–Lower Carboniferous Bakken Formation were collected from eight cores across the Williston Basin, USA, at depths (∼7575–11,330 ft) representing immature through post peak oil/early condensate thermal maturity conditions based on proximity to current hydrocarbon production. Unmodified BRo values were correlated to programmed temperature pyrolysis parameters (hydrogen index, production index, and Tmax), normal hydrocarbon and isoprenoid analysis of extractable organic matter (pristane/n-C17 and phytane/n-C18) from GC analysis, and peak ratios from FTIR spectroscopy (branching ratio and A-factor). Strong correlations between unmodified BRo values (not corrected to a vitrinite reflectance equivalent, VRe) and other thermal proxies suggest that BRo can be used as a direct thermal proxy in marine Paleozoic source-rock reservoirs where vitrinite is rare or absent. Moreover, an apparent overestimation of VRe at the lowest thermal maturity investigated herein may argue against the application of BRo conversion to VRe in the Bakken Formation. Solvent extraction caused a consistent decrease in BRo when average post-extraction values from a given well were compared to BRo prior to extraction, although the decrease in mean value was not statistically significant. These results are discussed in the context of advocating for the use of unmodified BRo values as a best practice for thermal maturity determination in Paleozoic marine source-rock reservoirs.
Population genomics can reveal cryptic biological diversity that may impact fitness while simultaneously serving to delineate relevant conservation units. Here, we leverage the power of whole-genome resequencing for conservation by studying 433 individual lesser prairie-chicken (Tympanuchus pallidicinctus; LEPC, a federally endangered species of conservation concern in the United States) and greater prairie-chicken (Tympanuchus cupido; GRPC, a legally huntable species throughout much of its range). The genomic diversity of two formally recognized distinct population segments (DPSs) of LEPCs is similar, but they are genetically distinct. Neither DPS is depleted of its genomic diversity, neither is especially inbred, and temporal diversity is relatively stable in both conservation units. Interspecific differentiation between the two species was only slightly higher than that observed between LEPC DPSs, due largely to bidirectional introgression. The high resolution provided by our dataset identified a genomic continuum between the two species such that individuals sampled from the hybrid zone were imperfectly assigned to their presumptive species when considering only their physical characteristics. The admixture between the two species is reflected in the spectrum of individual ancestry coefficients, which has legal implications for the “take” of individuals under the Endangered Species Act. Overall, our data highlight the recurring dissonance between static policies and dynamic species boundaries that are increasingly obvious in the population genomic era.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1093/pnasnexus/pgae298","usgsCitation":"Black, A.N., Mularo, A.J., Jeon, J.Y., Haukos, D.A., Bondo, K.J., Fricke, K., Gregory, A., Grisham, B., Lowe, Z.E., and DeWoody, J.A., 2024, Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act: PNAS Nexus, v. 3, no. 8, pgae298, 9 p., https://doi.org/10.1093/pnasnexus/pgae298.","productDescription":"pgae298, 9 p.","ipdsId":"IP-157565","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgae298","text":"Publisher Index Page"},{"id":433070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Couth Dakota, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.40084316266383,\n 33.70795884444438\n ],\n [\n -105.31992301296135,\n 30.818291062734204\n ],\n [\n -103.38777768631532,\n 29.724848440149472\n ],\n [\n -98.99639598871063,\n 33.79022627808453\n ],\n [\n -95.82383003901437,\n 37.069825104547206\n ],\n [\n -97.49448155164828,\n 44.317872402253386\n ],\n [\n -100.3845402631398,\n 45.075567221472596\n ],\n [\n -103.07342787678073,\n 44.42605963054629\n ],\n [\n -103.5139958969535,\n 40.79786135766341\n ],\n [\n -105.40084316266383,\n 33.70795884444438\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Andrew N.","contributorId":341177,"corporation":false,"usgs":false,"family":"Black","given":"Andrew","email":"","middleInitial":"N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mularo, Andrew J.","contributorId":341178,"corporation":false,"usgs":false,"family":"Mularo","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeon, Jong Yoon","contributorId":341179,"corporation":false,"usgs":false,"family":"Jeon","given":"Jong","email":"","middleInitial":"Yoon","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bondo, Kristin J.","contributorId":341180,"corporation":false,"usgs":false,"family":"Bondo","given":"Kristin","email":"","middleInitial":"J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fricke, Kent A.","contributorId":341181,"corporation":false,"usgs":false,"family":"Fricke","given":"Kent A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":908051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregory, Andy","contributorId":341182,"corporation":false,"usgs":false,"family":"Gregory","given":"Andy","email":"","affiliations":[{"id":81711,"text":"niversity of North Texas","active":true,"usgs":false}],"preferred":false,"id":908052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grisham, Blake","contributorId":341183,"corporation":false,"usgs":false,"family":"Grisham","given":"Blake","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowe, Zachary E.","contributorId":341184,"corporation":false,"usgs":false,"family":"Lowe","given":"Zachary","email":"","middleInitial":"E.","affiliations":[{"id":36225,"text":"Western Association of Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":908054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeWoody, J. Andrew","contributorId":341185,"corporation":false,"usgs":false,"family":"DeWoody","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":908055,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70256158,"text":"70256158 - 2024 - Aftershock forecasting","interactions":[],"lastModifiedDate":"2024-07-25T16:04:14.684778","indexId":"70256158","displayToPublicDate":"2024-07-25T10:51:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock forecasting","docAbstract":"Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts and potentially further damaging weakened buildings and infrastructure. Forecasts of the probability of aftershocks can therefore aid decision-making during earthquake response and recovery. Several countries issue authoritative aftershock forecasts. Most aftershock forecasts are based on simple statistical models that were first developed in the 1980s and remain the best available models. We review these statistical models, and the wide-ranging research to advance aftershock forecasting through better statistical, physical, and machine learning methods. Physics-based forecasts based on mainshock stress changes can sometimes match the statistical models in testing, but don’t yet outperform them. Physical models are also hampered by unsolved problems such as the mechanics of dynamic triggering and the influence of background conditions. Initial work on machine learning forecasts shows promise, and new machine learning earthquake catalogs provide an opportunity to advance all types of aftershock forecasts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-040522-102129","usgsCitation":"Hardebeck, J.L., Llenos, A.L., Michael, A.J., Page, M.T., Schneider, M., and van der Elst, N., 2024, Aftershock forecasting: Annual Review of Earth and Planetary Sciences, v. 52, p. 61-84, https://doi.org/10.1146/annurev-earth-040522-102129.","productDescription":"24 p.","startPage":"61","endPage":"84","ipdsId":"IP-153834","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":489836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-040522-102129","text":"Publisher Index Page"},{"id":431446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259229,"text":"70259229 - 2024 - Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020","interactions":[],"lastModifiedDate":"2024-10-03T16:04:03.176966","indexId":"70259229","displayToPublicDate":"2024-07-25T09:16:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18722,"text":"Agrosystems, Geosciences & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020","docAbstract":"California produces many key agricultural products in the United States. Current geospatial agricultural datasets are limited in mapping accuracy, spatial context, or observation period. This study uses machine learning and high-resolution imagery to produce a time series of crop maps to assess crop type trends and patterns across central California from 2005 to 2020. National Agriculture Imagery Program and Landsat imagery were used to classify nine crop types that are common in the study region: grain crops, field crops, rice, citrus and subtropical, deciduous fruit and nut, vineyard, berry and vegetable, pasture, and fallow/young perennial crop types. To create labeled data, we sampled 1253 fields and manually identified crop types for each examined year using high-resolution imagery and Landsat normalized difference vegetation index time series. We applied a random forest machine learning algorithm in Google Earth Engine. Results show that the mean overall classification accuracy of the nine-class map was 93.1%, with individual accuracies ranging from 99.3% (rice) to 89.5% (fallow/young perennial). Mann–Kendall trend tests showed significant (p less than 0.05) declines in field crop and pasture area during the study period, while deciduous fruit and nut, citrus and subtropical, and fallow/young perennial crop types experienced significant increases. At an aggregate level, there was a general shift from annual crop types to perennial crop types. These data provide a 16-year time span of spatially explicit crop type classifications, trends, and patterns in central California that can be used to aid managers and decision makers for resource planning or hazard mitigation.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/agg2.20553","usgsCitation":"Smith, B.W., Soulard, C.E., and Walker, J., 2024, Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020: Agrosystems, Geosciences & Environment, v. 7, no. 3, e20553, 16 p., https://doi.org/10.1002/agg2.20553.","productDescription":"e20553, 16 p.","ipdsId":"IP-157770","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":466976,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/agg2.20553","text":"Publisher Index Page"},{"id":462483,"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 -120.39755424898114,\n 34.420043865180986\n ],\n [\n -118.3779343983518,\n 35.235828590126644\n ],\n [\n -118.14248794924036,\n 35.84498396138433\n ],\n [\n -121.41402389397426,\n 40.45021878284146\n ],\n [\n -124.11418123355082,\n 39.15848742125334\n ],\n [\n -120.39755424898114,\n 34.420043865180986\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":914533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256231,"text":"70256231 - 2024 - Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","interactions":[],"lastModifiedDate":"2024-07-29T14:33:59.226821","indexId":"70256231","displayToPublicDate":"2024-07-25T09:06:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","docAbstract":"Rhyolitic tuffs range widely in their crystal contents from nearly aphyric to crystal-rich, and their crystal cargoes inform concepts of upper crustal magma reservoirs. The Earthquake Flat pyroclastics (Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand) are 10 km3 of rhyolitic tuffs with abundant (~ 40 vol.%) plagioclase and quartz, minor biotite, hornblende, and orthopyroxene, and accessory Fe-Ti oxides, apatite, and zircon, set in high-silica rhyolitic glass. Major minerals form large, euhedral phenocrysts and abundant glomerocrysts with few disequilibrium textures excepting some faintly resorbed quartz. Plagioclase phenocrysts have thick rims of nearly constant composition near An30, and hornblende is weakly zoned or unzoned. The abundant and texturally complex mineral assemblage contrasts with the nearby (~ 25 km), nearly synchronous, but more voluminous and crystal-moderate rhyolite tuffs from Rotoiti caldera. New H2O-saturated phase-equilibria results on the erupted Earthquake Flat melt (glass) determine its co-saturation with the partial phenocryst assemblage of plagioclase, quartz, biotite, and Fe-Ti oxides at: 140 MPa, 755 ºC. These closely approximate the conditions of the pre-eruptive magma body assuming it was saturated with nearly pure H2O and at an fO2 of ~ Ni–NiO. Absence of hornblende and orthopyroxene from the synthesized assemblages may result from those minerals being in a peritectic reaction relation with melt to produce biotite, so they would not grow from the liquid used as starting material. Experimental results on Rotoiti rhyolite (Nicholls et al. 1992) show that the two bodies resided at similar pressures, temperatures, and fO2s. Lower crystal abundance of the Rotoiti tuffs may result from slight compositional differences. We interpret that the Earthquake Flat pyroclastics were sourced from the crystal-rich periphery of a mushy reservoir system with the Rotoiti occupying a more melt-rich central location. Uncertain is whether this was a single intrusion zoned continuously in crystallinity, or discrete adjacent intrusions, but our results illustrate and quantify complexities of magma storage across relatively short distances.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-024-02151-y","usgsCitation":"Grant, E.R., Blatter, D.L., Sisson, T.W., and Cooper, K.M., 2024, Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments: Contributions to Mineralogy and Petrology, v. 179, 81, 29 p., https://doi.org/10.1007/s00410-024-02151-y.","productDescription":"81, 29 p.","ipdsId":"IP-158188","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439253,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s00410-024-02151-y","text":"Publisher Index Page"},{"id":434922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IM4QQ","text":"USGS data release","linkHelpText":"Dataset establishing shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: evidence from phase-equilibria experiments"},{"id":431561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"North Island, Taupo Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 176.095561609664,\n -37.65496855984471\n ],\n [\n 176.095561609664,\n -38.389051762476605\n ],\n [\n 176.7278928943726,\n -38.389051762476605\n ],\n [\n 176.7278928943726,\n -37.65496855984471\n ],\n [\n 176.095561609664,\n -37.65496855984471\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"179","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Elizabeth R. 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G.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":907170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":907172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Kari M 0000-0003-0636-6292","orcid":"https://orcid.org/0000-0003-0636-6292","contributorId":294378,"corporation":false,"usgs":false,"family":"Cooper","given":"Kari","email":"","middleInitial":"M","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":907173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256998,"text":"70256998 - 2024 - Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","interactions":[],"lastModifiedDate":"2024-10-07T16:12:59.020563","indexId":"70256998","displayToPublicDate":"2024-07-25T08:41:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","docAbstract":"Western Alaska’s convergent margins are composed of tectonostratigraphic terranes. On land, terrane assembly is recognized along boundaries or sutures between neighboring geologic elements with distinctly different origins. In marine areas where rock outcrops are covered by sediment, recognizing terrane sutures is problematic. A fault in seismic dip line 5 of the ALEUT project has been interpreted as a terrane suture. It is imaged intermittently down to the 30+-km-deep plate interface. Processing of ALEUT strike line 7 revealed the suture at ~18 km depths extending 300 km along the margin. Upper structures in line 5 are like the structures of adjacent seismic transects where imaging is only 8−10 km deep. They were previously not recognized as the upper reaches of terrane sutures and show structural details obscured at greater depths. The composite data are the basis for a simple tectonic model of terrane docking.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02757.1","usgsCitation":"von Huene, R.E., and Miller, J.J., 2024, Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA: Geosphere, v. 20, no. 5, p. 1276-1285, https://doi.org/10.1130/GES02757.1.","productDescription":"10 p.","startPage":"1276","endPage":"1285","ipdsId":"IP-153757","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02757.1","text":"Publisher Index Page"},{"id":432273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southwest Alaska Trench","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -164,\n 56\n ],\n [\n -164,\n 52.75\n ],\n [\n -156,\n 52.75\n ],\n [\n -156,\n 56\n ],\n [\n -164,\n 56\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":909108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":909109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259522,"text":"70259522 - 2024 - Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians","interactions":[],"lastModifiedDate":"2024-10-10T13:37:11.222234","indexId":"70259522","displayToPublicDate":"2024-07-25T08:28:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians","docAbstract":"Spring viremia of carp virus (SVCV) is a rhabdovirus that primarily infects cyprinid finfishes and causes a disease notifiable to the World Organization for Animal Health. Amphibians, which are sympatric with cyprinids in freshwater ecosystems, are considered non-permissive hosts of rhabdoviruses. The potential host range expansion of SVCV in an atypical host species was evaluated by testing the susceptibility of amphibians native to the Pacific Northwest. Larval long-toed salamanders Ambystoma macrodactylum and Pacific tree frog Pseudacris regilla tadpoles were exposed to SVCV strains from genotypes Ia, Ib, Ic, or Id by either intraperitoneal injection, immersion, or cohabitation with virus-infected koi Cyprinus rubrofuscus. Cumulative mortality was 100% for salamanders injected with SVCV, 98–100% for tadpoles exposed to virus via immersion, and 0–100% for tadpoles cohabited with SVCV-infected koi. Many of the animals that died exhibited clinical signs of disease and SVCV RNA was found by in situ hybridization in tissue sections of immersion-exposed tadpoles, particularly in the cells of the gastrointestinal tract and liver. SVCV was also detected by plaque assay and RT-qPCR testing in both amphibian species regardless of the virus exposure method, and viable virus was detected up to 28 days after initial exposure. Recovery of infectious virus from naïve tadpoles cohabited with SVCV-infected koi further demonstrated that SVCV transmission can occur between classes of ectothermic vertebrates. Collectively, these results indicated that SVCV, a fish rhabdovirus, can be transmitted to and cause lethal disease in two amphibian species. Therefore, members of all five of the major vertebrate groups (mammals, birds, reptiles, fish, and amphibians) appear to be vulnerable to rhabdovirus infections. Future research studying potential spillover and spillback infections of aquatic rhabdoviruses between foreign and domestic amphibian and fish species will provide insights into the stressors driving novel interclass virus transmission events.
","language":"English","publisher":"MDPI","doi":"10.3390/v16081193","usgsCitation":"Emmenegger, E.J., Bueren, E.K., Conway, C.M., Sanders, G.E., Hendrix, A.N., Schroeder, T., Di Cicco, E., Pham, P.H., S., L.J., and Clouthier, S.C., 2024, Host jump of an exotic fish rhabdovirus into a new class of animals poses a disease threat to amphibians: Viruses, v. 16, no. 8, 1193, 33 p., https://doi.org/10.3390/v16081193.","productDescription":"1193, 33 p.","ipdsId":"IP-167008","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":466977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v16081193","text":"Publisher Index Page"},{"id":462786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":915592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bueren, Emma K. 0000-0002-5738-3917","orcid":"https://orcid.org/0000-0002-5738-3917","contributorId":289657,"corporation":false,"usgs":false,"family":"Bueren","given":"Emma","email":"","middleInitial":"K.","affiliations":[{"id":62212,"text":"Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061","active":true,"usgs":false}],"preferred":false,"id":915593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":915594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, George E.","contributorId":147207,"corporation":false,"usgs":false,"family":"Sanders","given":"George","email":"","middleInitial":"E.","affiliations":[{"id":16803,"text":"University of Washington, School of Medicine, Dept. of Comparative Medicine, T-160 Health Sciences Center, Seattle, WA 98195","active":true,"usgs":false}],"preferred":false,"id":915595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hendrix, A. Noble","contributorId":171940,"corporation":false,"usgs":false,"family":"Hendrix","given":"A.","email":"","middleInitial":"Noble","affiliations":[{"id":26969,"text":"QEDA Consulting, LLC, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":915596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Tamara","contributorId":265647,"corporation":false,"usgs":false,"family":"Schroeder","given":"Tamara","email":"","affiliations":[{"id":54748,"text":"Fisheries & Oceans Canada, Freshwater Institute, Winnipeg, Manitoba R3T 2N6, Canada","active":true,"usgs":false}],"preferred":false,"id":915597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Di Cicco, Emiliano","contributorId":345083,"corporation":false,"usgs":false,"family":"Di Cicco","given":"Emiliano","email":"","affiliations":[{"id":82488,"text":"Pacific Salmon Foundation, 1682 W 7th Ave., Vancouver, BC V6J 4S6, Canada","active":true,"usgs":false}],"preferred":false,"id":915598,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pham, Phuc H.","contributorId":345084,"corporation":false,"usgs":false,"family":"Pham","given":"Phuc","email":"","middleInitial":"H.","affiliations":[{"id":82489,"text":"Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":915599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"S., Lumsden John","contributorId":345085,"corporation":false,"usgs":false,"family":"S.","given":"Lumsden","email":"","middleInitial":"John","affiliations":[{"id":82489,"text":"Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":915600,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clouthier, Sharon C.","contributorId":345086,"corporation":false,"usgs":false,"family":"Clouthier","given":"Sharon","email":"","middleInitial":"C.","affiliations":[{"id":82490,"text":"Fisheries and Oceans Canada (DFO) Freshwater Institute, 501 University Crescent, Winnipeg, Manitoba, R3T 2N6, Canada","active":true,"usgs":false}],"preferred":false,"id":915601,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70256388,"text":"70256388 - 2024 - Assessing the population consequences of disturbance and climate change for the Pacific walrus","interactions":[],"lastModifiedDate":"2024-07-30T11:47:40.220932","indexId":"70256388","displayToPublicDate":"2024-07-25T06:45:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the population consequences of disturbance and climate change for the Pacific walrus","docAbstract":"Climate change and anthropogenic disturbance are increasingly affecting wildlife at a global scale. Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and physiology to population-level changes. In the present study, we develop a Pacific walrus (Odobenus rosmarus divergens) PCoD model to encompass the population-level effects of both anthropogenic disturbance and climate change. As the Arctic becomes increasingly ice-free, walruses spend more time at coastal (vs. ice-based) haulouts, from which they must expend more energy to reach foraging areas and where they have an elevated risk of mortality. Concurrently, sea ice loss is increasing the anthropogenic footprint in the Arctic (e.g. fisheries, shipping, energy exploration), which creates additional disturbance. We applied the PCoD model to 4 scenarios (ranging from optimistic to pessimistic) which incorporate different global sea ice model projections along with varying degrees of anthropogenic disturbance. All scenarios indicated a decline in Pacific walrus vital rates by the end of the 21st century, but our results demonstrated that the intensity of that decline could be mitigated by global efforts to reduce carbon emissions, along with local management and conservation efforts to protect important coastal haulouts and foraging grounds. In summary, we introduce a flexible PCoD modeling framework in a novel context which will prove useful to researchers studying species threatened by rapid environmental change.
","language":"English","publisher":"InterResearch","doi":"10.3354/meps14635","usgsCitation":"Johnson, D.L., Eisaguirre, J.M., Taylor, R.L., and Garlich-Miller, J.L., 2024, Assessing the population consequences of disturbance and climate change for the Pacific walrus: Marine Ecology Progress Series, v. 740, p. 193-211, https://doi.org/10.3354/meps14635.","productDescription":"19 p.","startPage":"193","endPage":"211","ipdsId":"IP-154398","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439254,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2023.10.12.562073","text":"External Repository"},{"id":431606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"740","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin L.","contributorId":340459,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":907212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":907213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garlich-Miller, Joel L.","contributorId":288799,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":907214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256096,"text":"fs20243031 - 2024 - The 3D Elevation Program—Supporting Michigan’s economy","interactions":[],"lastModifiedDate":"2024-07-25T14:14:30.587319","indexId":"fs20243031","displayToPublicDate":"2024-07-24T19:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3031","displayTitle":"The 3D Elevation Program—Supporting Michigan’s Economy","title":"The 3D Elevation Program—Supporting Michigan’s economy","docAbstract":"High-quality elevation data are proving to be a resource of value in addressing many important economic issues in Michigan. 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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
MS 511
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"The Deepwater Horizon mobile drilling platform exploded on April 20, 2010. The resulting massive oil spill injured natural resources in the Gulf of Mexico, including wintering common loons (Gavia immer). We report on activities completed under the “Restoration of Common Loons in Minnesota” project in calendar year 2023, which was funded by the Open Ocean Trustee Implementation Group. In 2022, a subset of monitored breeding territories was identified as focal territories, which are sampling units for the study. The U.S. Geological Survey, in cooperation with the Minnesota Department of Natural Resources, monitored 98 common loon focal territories and an additional 43 nonfocal territories in 2023 across 56 study lakes in Minnesota. We collaborated with lake associations and private citizens to deploy 42 artificial nesting platforms within 44 focal treatment territories. The remaining 54 focal territories were controls. Territorial surveys were completed from May 8 to August 11, 2023, to evaluate occupancy, nest success, and chick survival. At least one nest attempt was observed in 31 of 44 treatment territories and a second nest attempt was observed after a failed initial attempt in 6 treatment territories. However, only one nest was on an artificial nesting platform in a treatment territory; the remaining nest locations were natural. At least one nest attempt was observed in 37 of 54 control territories, and a second nest attempt was observed after a failed initial attempt in 5 control territories. Chicks or other evidence of hatching were observed in 17 of 54 control territories and 17 of 44 treatment territories, with 1 of those successful treatment nests occurring on an artificial nesting platform. This report includes no formal analysis, but we plan to analyze data after collection of all field data in subsequent years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241044","collaboration":"Prepared in cooperation with the Minnesota Department of Natural Resources and Minnesota Pollution Control Agency","usgsCitation":"Beatty, W.S., Amoth, K., Bergstrom, K., Fara, L.J., Gray, B.R., Houdek, S.C., Jech, J., Kenow, K.P., Rabasco, R., Rettler, S., Wellik, M., and Yang, S., 2024, Restoration of common loon (Gavia immer) in Minnesota—2023 annual report: U.S. Geological Survey Open-File Report 2024–1044, 6 p., https://doi.org/10.3133/ofr20241044.","productDescription":"Report: vi, 6 p.; 2 Data Releases","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162805","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":431372,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13YB3AF","text":"USGS data release","linkHelpText":"Summary of detection data for breeding common loons in north-central Minnesota (2023)"},{"id":431366,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1044/coverthb.jpg"},{"id":431367,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1044/ofr20241044.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1044"},{"id":431368,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1044/ofr20241044.XML"},{"id":431369,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1044/images/"},{"id":431370,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241044/full"},{"id":431371,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LA536E","text":"USGS data release","linkHelpText":"Summary of detection data for breeding common loons in north-central Minnesota (2021–2022)"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.57221262524712,\n 48.473840582024934\n ],\n [\n -96.57221262524712,\n 46.234012124497895\n ],\n [\n -93.01264231274689,\n 46.234012124497895\n ],\n [\n -93.01264231274689,\n 48.473840582024934\n ],\n [\n -96.57221262524712,\n 48.473840582024934\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 5.1 billion barrels of oil and 79.1 trillion cubic feet of gas in offshore East Africa and the Seychelles.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243010","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Cicero, A.D., Drake, R.M., II, Ellis, G.S., Finn, T.M., Gardner, M.H., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., Marra, K.R., Timm, K.K., Young, S.S., 2024, Assessment of undiscovered conventional oil and gas resources of offshore East Africa and the Seychelles, 2022: U.S. Geological Survey Fact Sheet 2024–3010, 4 p., https://doi.org/10.3133/fs20243010.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-145814","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":431303,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97AP0CO","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—East Africa and Seychelles Provinces: Assessment Unit Boundaries, Assessment Input data, and Fact Sheet Data Tables"},{"id":431301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3010/coverthb.jpg"},{"id":431302,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3010/fs20243010.pdf","text":"Report","size":"720 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3010"},{"id":431373,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3010/images"},{"id":431374,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3010/fs20243010.xml"},{"id":431375,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3010"}],"otherGeospatial":"East Africa, the Seychelles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 32.626820349755945,\n -26.130240169293238\n ],\n [\n 62.94908597475583,\n -26.130240169293238\n ],\n [\n 62.94908597475583,\n 2.7077249383509496\n ],\n [\n 32.626820349755945,\n 2.7077249383509496\n ],\n [\n 32.626820349755945,\n -26.130240169293238\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Global expansion in wind energy development is a notable achievement of the international community’s effort to reduce carbon emissions during energy production. However, the increasing number of wind turbines have unintended consequences for migratory birds and bats. Wind turbine curtailment and other mitigation strategies can reduce fatalities, but improved spatial and temporal data are needed to identify the most effective way for wind energy development and volant migratory species to coexist. Mexican free-tailed bats (Tadarida brasiliensis mexicana) account for a large proportion of known bat fatalities at wind facilities in the southwestern US. We examined the geographic concordance between existing wind energy generation facilities, areas of high wind potential amenable for future deployment of wind facilities, and seasonally suitable habitat for these bats. We used ecological niche modeling to determine species distribution during each of 4 seasons. We used a multi-criteria GIS-based approach to produce a wind turbine siting suitability map. We identified seasonal locations with highest and lowest potential for the species’ probability of occurrence, providing a potential explanation for the higher observed fatalities during fall migration. Thirty percent of 33,606 wind turbines within the southwestern US occurred in highly suitable areas for Mexican free-tailed bats, primarily in west Texas. There is also broad spatial overlap between areas of high wind potential and areas of suitable habitat for Mexican free-tailed bats. Because of this high degree of overlap, our results indicate that post-construction strategies, such as curtailing the timing of operations and deterrents, would be more effective for bat conservation than strategic siting of new wind energy installations.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-66490-3","usgsCitation":"Huang, T., Feng, X., Derbridge, J.J., Libby, K., Diffendorfer, J., Thogmartin, W.E., McCracken, G., Medellin, R., and Lopez-Hoffman, L., 2024, Potential for spatial coexistence of a transboundary migratory species and wind energy development: Scientific Reports, v. 14, 17050, 11 p., https://doi.org/10.1038/s41598-024-66490-3.","productDescription":"17050, 11 p.","ipdsId":"IP-117864","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-66490-3","text":"Publisher Index Page"},{"id":465068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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Center","active":true,"usgs":true}],"preferred":true,"id":920812,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCracken, Gary","contributorId":38885,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","affiliations":[],"preferred":false,"id":920871,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Medellin, Rodrigo","contributorId":201608,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":920872,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lopez-Hoffman, Laura","contributorId":347096,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":920813,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70256983,"text":"70256983 - 2024 - Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives","interactions":[],"lastModifiedDate":"2024-08-06T13:30:05.401425","indexId":"70256983","displayToPublicDate":"2024-07-24T08:23:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives","docAbstract":"Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (>1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. Here, we provide a workflow for utilizing modern photogrammetry to construct virtual geological outcrops hundreds or thousands of meters in length from these archived video images. The photogrammetry further allows quantitative measurements of these outcrops, which were previously unavailable. Although photogrammetry had been carried out in recent years in the deep sea, it had been limited to small areas with pre-defined overlapping dive paths. Here, we propose a workflow for constructing virtual outcrops from archived exploration dives, which addresses the complicating factors posed by single non-linear and variable-speed vehicle paths. These factors include poor navigation, variable lighting, differential color attenuation due to variable distance from the seafloor, and variable camera orientation with respect to the vehicle. In particular, the lack of accurate navigation necessitates reliance on image quality and the establishment of pseudo-ground-control points to build the photogrammetry model. Our workflow offers an inexpensive method for analyzing deep-sea geological environments from existing video images, particularly when coupled with rock samples.
","language":"English","publisher":"MDPI","doi":"10.3390/jmse12081250","usgsCitation":"Flores, C., and ten Brink, U.S., 2024, Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives: Journal of Marine Science and Engineering, v. 12, no. 8, 1250, 19 p., https://doi.org/10.3390/jmse12081250.","productDescription":"1250, 19 p.","ipdsId":"IP-159627","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse12081250","text":"Publisher Index Page"},{"id":432271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.1,\n 19.2\n ],\n [\n -68.1,\n 18.3\n ],\n [\n -66.8,\n 18.3\n ],\n [\n -66.8,\n 19.2\n ],\n [\n -68.1,\n 19.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Flores, Claudia 0000-0003-0676-7061 cflores@usgs.gov","orcid":"https://orcid.org/0000-0003-0676-7061","contributorId":304396,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264796,"text":"70264796 - 2024 - Gape-limited invasive predator frequently kills avian prey that are too large to swallow","interactions":[],"lastModifiedDate":"2025-03-24T15:08:54.248637","indexId":"70264796","displayToPublicDate":"2024-07-24T08:02:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Gape-limited invasive predator frequently kills avian prey that are too large to swallow","docAbstract":"Gape-limited predators (e.g., snakes, many fish) are not generally expected to pose a predation threat to prey that are too large for them to swallow. However, the extent to which snakes predate on prey that exceed their gape limitation remains largely unknown. We conducted the first study to investigate the influence of both prey and predator sizes on the frequency of ingestion success by snakes in a natural system. We combined survival monitoring of an avian prey species (Aplonis opaca) via radio-telemetry with a survey of the size distribution of their major predator (Boiga irregularis) on Guam. This allowed us to assess (1) the frequency of unsuccessful ingestion by the predator, (2) whether the size of the prey predicts ingestion success, (3) whether the size of the predator predicts ingestion success, and (4) the relationship between prey and predator sizes in successful ingestion attempts. We found that nearly half (47.95%) of ingestion attempts by snakes on fledgling birds were unsuccessful, and no instances where unsuccessful ingestion caused the mortality of the snake. Attempts to consume smaller fledglings were as likely to be unsuccessful as attempts to swallow larger fledglings. However, snakes that successfully ingested fledglings were among the largest snakes in the population, and larger than average conspecifics attracted to endothermic prey. The smallest snakes that successfully ingested fledglings attained remarkably high relative prey mass values for their species, consuming prey weighing up to 79.9% of their own mass. Our study indicates that B. irregularis routinely predate prey that are too large for them to successfully ingest, which causes mortality to the prey but poses little risk to the predator. The potential reward for snakes in consuming oversized prey may outweigh the inherent risks, while instances of predation that do not result in consumption may have considerable impacts on prey populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11598","usgsCitation":"Kastner, M., Goetz, S.M., Baker, K.M., Siers, S.R., Paxton, E.H., Nafus, M., and Rogers, H., 2024, Gape-limited invasive predator frequently kills avian prey that are too large to swallow: Ecology and Evolution, v. 14, no. 7, e11598, 11 p., https://doi.org/10.1002/ece3.11598.","productDescription":"e11598, 11 p.","ipdsId":"IP-159071","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11598","text":"Publisher Index Page"},{"id":483715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.52940654060023,\n 13.730269126756554\n ],\n [\n 144.52940654060023,\n 13.229219717321797\n ],\n [\n 145.03819941430874,\n 13.229219717321797\n ],\n [\n 145.03819941430874,\n 13.730269126756554\n ],\n [\n 144.52940654060023,\n 13.730269126756554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kastner, Martin","contributorId":293508,"corporation":false,"usgs":false,"family":"Kastner","given":"Martin","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":931729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Kayla M","contributorId":279515,"corporation":false,"usgs":false,"family":"Baker","given":"Kayla","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":931731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":931732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":931733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Haldre","contributorId":279510,"corporation":false,"usgs":false,"family":"Rogers","given":"Haldre","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":931735,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259685,"text":"70259685 - 2024 - Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+","interactions":[],"lastModifiedDate":"2024-10-21T12:26:18.509509","indexId":"70259685","displayToPublicDate":"2024-07-24T07:22:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2738,"text":"Microscopy and Microanalysis","active":true,"publicationSubtype":{"id":10}},"title":"Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+","docAbstract":"Options for selecting a high Na concentration mineral for instrument calibration that are suitably stable under the electron beam are limited [1]. NaCl (approximately a mass fraction of 39 % Na) is not practical for use alongside other embedded and polished materials in a mounted block of standards. While albite (NaAlSi3O8; approximately a mass fraction of 8 % Na) represents a typical choice for some microanalysts, it may be subject to time dependent signal intensity issues, such as those observed for Na and other cations during analysis of hydrous glasses [2]. Near endmember jadeite pyroxene (NaAlSi2O6; approximately mass fraction of 11 % Na) represents a desirable option for calibration given its relatively large concentration of Na and insensitivity to electron beam radiation with respect to X-ray output. Despite these desirable characteristics, jadeites have been shown to contain complex microstructures as the result of intracrystalline zoning [3, 4], and the impact of chemical inhomogeneity within mineral standards and natural glasses has been documented [5-7]. In this study, a commercially obtained jadeite crystal (source location “China”) was studied to assess its microscale uniformity using a suite of microbeam methods, including dispersive red-green-blue multispectral cathodoluminescence imaging (CLRGB), hyperspectral CL imaging spectrometry, energy dispersive X-ray spectrometry (EDS), SEM-based micro-X-ray fluorescence (μXRF), and wavelength dispersive X-ray spectrometry (WDS).
","language":"English","publisher":"Oxford University Press","doi":"10.1093/mam/ozae044.012","usgsCitation":"Lameris, T., Lowers, H.A., Wight, S.A., and Vicenzi, E.P., 2024, Cathodoluminescence imaging and spectrometry of a jadeite microbeam reference crystal: Detection of Ce3+: Microscopy and Microanalysis, v. 30, p. 25-28, https://doi.org/10.1093/mam/ozae044.012.","productDescription":"ozae044.012, 4 p.","startPage":"25","endPage":"28","ipdsId":"IP-162139","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1093/mam/ozae044.012","text":"Publisher Index Page"},{"id":463062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lameris, Thomas","contributorId":270786,"corporation":false,"usgs":false,"family":"Lameris","given":"Thomas","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":916236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wight, Scott A.","contributorId":345300,"corporation":false,"usgs":false,"family":"Wight","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":47720,"text":"NIST","active":true,"usgs":false}],"preferred":false,"id":916238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vicenzi, Edward P.","contributorId":345301,"corporation":false,"usgs":false,"family":"Vicenzi","given":"Edward","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":916239,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}