The establishment and spread of invasive species are directly related to intersexual interactions as dispersal and reproductive success are related to distribution, effective population size, and population growth. Accordingly, populations established by r-selected species are particularly difficult to suppress or eradicate. One such species, the red swamp crayfish (Procambarus clarkii) is established globally at considerable ecological and financial costs to natural and human communities. Here, we develop a single nucleotide polymorphism (SNP) loci panel for P. clarkii using restriction-associated DNA-sequencing data. We use the SNP panel to successfully genotype 1800 individuals at 930 SNPs in southeastern Michigan, USA. Genotypic data were used to reconstruct pedigrees, which enabled the characterization of P. clarkii's mating system and statistical tests for associations among environmental, demographic, and phenotypic predictors and adult reproductive success estimates. We identified juvenile cohorts using genotype-based pedigrees, body size, and sampling timing, which elucidated the breeding phenology of multiple introduced populations. We report a high prevalence of multiple paternity in each surveyed waterbody, indicating polyandry in this species. We highlight the use of newly developed rapid genomic assessment tools for monitoring population reproductive responses, effective population sizes, and dispersal during ongoing control efforts.
","language":"English","publisher":"Wiley","doi":"10.1111/eva.70007","usgsCitation":"Adams, N., Homola, J.J., Sard, N., Nathan, L.R., Roth, B., Robinson, J.D., and Scribner, K., 2024, Genomic data characterize reproductive ecology patterns in Michigan invasive Red Swamp Crayfish (Procambarus clarkii): Evolutionary Applications, v. 17, no. 9, e70007, 19 p., https://doi.org/10.1111/eva.70007.","productDescription":"e70007, 19 p.","ipdsId":"IP-166257","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.70007","text":"Publisher Index Page"},{"id":466416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Nicole E.","contributorId":348509,"corporation":false,"usgs":false,"family":"Adams","given":"Nicole E.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sard, Nicholas M.","contributorId":342858,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas M.","affiliations":[{"id":81942,"text":"State University of New York-Oswego","active":true,"usgs":false}],"preferred":false,"id":923497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nathan, Lucas R.","contributorId":340047,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roth, Brian M.","contributorId":348510,"corporation":false,"usgs":false,"family":"Roth","given":"Brian M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, John D.","contributorId":288851,"corporation":false,"usgs":false,"family":"Robinson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scribner, Kim T.","contributorId":341328,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923501,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263811,"text":"70263811 - 2024 - RE-ARMing salt marshes: A resilience-experimentalist approach to prescribed fire and bird conservation in high marshes of the Gulf of Mexico","interactions":[],"lastModifiedDate":"2025-02-25T15:04:44.01329","indexId":"70263811","displayToPublicDate":"2024-09-15T09:01:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9319,"text":"Frontiers in Conservation Science","active":true,"publicationSubtype":{"id":10}},"title":"RE-ARMing salt marshes: A resilience-experimentalist approach to prescribed fire and bird conservation in high marshes of the Gulf of Mexico","docAbstract":"Uncertainty, complexity, and dynamic changes present challenges for conservation and natural resource management. Evidence-based approaches grounded in reliable information and rigorous analysis can enhance the navigation of the uncertainties and trade-offs inherent in conservation problems. This study highlights the importance of collaborative efforts and evidence-based decision-making, specifically implementing the Resilience-Experimentalist school of adaptive management (RE-ARM), which emphasizes stakeholder involvement, shared understanding, and experimentation. Our goal was to develop an adaptive management framework to reduce the uncertainty around the use of prescribed fire to manage the habitat for eastern black rails (Laterallus jamaicensis jamaicensis) and mottled ducks (Anas fulvigula) in saltmarshes of the Gulf of Mexico. Supported by discussions at a series of workshops, we used a value of information analysis to select a fire management hypothesis to test, developed an influence diagram to represent the system under fire management, used the influence diagram to develop a Bayesian decision network (BDN), and conducted a power analysis to guide management experiments and monitoring. Value of information analysis identified fire return interval as the critical uncertainty. Our BDN provided valuable insight into how managers believe prescribed fire influences vegetation characteristics and how vegetation influences both eastern black rail occupancy and mottled duck abundance. The results of the power analysis indicated that a standard occupancy modeling framework was more useful to compare 2- and 5-year fire return intervals for black rails than two alternative designs (removal and conditional). Our BDN can be used to predict the probability of achieving the desirable vegetative response to increase the occupancy probability of black rails and abundance of mottled ducks, and monitoring data can be used to update the BDN (learn) and improve best management practices for prescribed burns (adapt). Linking the value of information, BDNs, and power analysis enhances our understanding of the system, improves management decision-making, and builds trust among scientists, interested parties, and decision-makers. This approach lays the groundwork for knowledge co-production and adaptive management.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fcosc.2024.1426646","usgsCitation":"Stantial, M., Fournier, A., Lawson, A.J., Marcot, B.G., Woodrey, M.S., and Lyons, J.E., 2024, RE-ARMing salt marshes: A resilience-experimentalist approach to prescribed fire and bird conservation in high marshes of the Gulf of Mexico: Frontiers in Conservation Science, v. 5, 1426646, 12 p., https://doi.org/10.3389/fcosc.2024.1426646.","productDescription":"1426646, 12 p.","ipdsId":"IP-165686","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/fcosc.2024.1426646","text":"Publisher Index Page"},{"id":482438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stantial, Michelle","contributorId":351434,"corporation":false,"usgs":false,"family":"Stantial","given":"Michelle","affiliations":[{"id":83994,"text":"formerly with USGS - EESC","active":true,"usgs":false}],"preferred":false,"id":928508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fournier, Auriel","contributorId":338631,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","email":"","affiliations":[{"id":81181,"text":"University of Illinois at Urbana-Champaign, Havana","active":true,"usgs":false}],"preferred":false,"id":928509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":928511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodrey, Mark S.","contributorId":259212,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":928512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928513,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258432,"text":"70258432 - 2024 - Mitigating disparate elevation differences between adjacent topobathymetric data models using binary code","interactions":[],"lastModifiedDate":"2024-09-17T12:14:54.180722","indexId":"70258432","displayToPublicDate":"2024-09-14T07:12:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mitigating disparate elevation differences between adjacent topobathymetric data models using binary code","docAbstract":"Environment and behavior are widely understood to affect bird morphology, which can lead to differences among subspecies or populations within a wide-ranging species. Several patterns of latitudinal gradients in morphology have been described, though Allen's and Bergmann's rules are the most well-known and have been tested and confirmed across a diversity of taxa and species. These state that individuals at higher latitudes will have larger bodies (Bergmann's Rule) but smaller extremities (Allen's Rule) to conserve heat in colder climates. Migratory behavior also can influence avian morphology, particularly wing shape, where migratory birds tend to have longer, more pointed wings than residents. The Black Oystercatcher (Haematopus bachmani) is a large, partially migratory shorebird species restricted to intertidal habitats and distributed from Alaska to Baja California, spanning about 35° of latitude. A large proportion of Black Oystercatchers that breed in Alaska are migratory, where nearly all individuals breeding in British Columbia through the southern end of their range remain resident through the annual cycle. Their broad latitudinal range and diversity in migratory behavior may drive geographic variation in morphology. Here we evaluate three explanations for geographic variation in morphology of the Black Oystercatcher using data from seven sites across two regions: Alaska and British Columbia. We found evidence consistent with Allen's but not Bergmann's rule; birds in Alaska have shorter bills than those in British Columbia, and these findings held when controlling for body size using wing length. Despite regional differences in migratory behavior, we detected no difference in the wing shape of birds in Alaska and British Columbia. Differences between sexes and among sites suggest that multiple factors drive patterns of morphological variation in the Black Oystercatcher.
The Mediterranean is known for its marine biodiversity, especially gorgonian forests. Unfortunately, these are experiencing rapid declines due to climate change, manifested by repeated marine heat waves resulting in mass mortality events since the early 1990 s. To better understand why gorgonians are declining, more systematic approaches to investigate the exact causes are needed, and pathology may aid in this goal.
We described gross and microscopic pathology of tissue loss in three key gorgonian species in the Mediterranean region, Paramuricea clavata, Eunicella cavolini, and Leptogorgia sarmentosa, that were all experiencing various degrees of acute to subacute tissue loss characterized by exposed axial skeleton sometimes partly colonized by epibionts and thinning of adjacent tissues. The most significant variety of lesions was seen in P. clavata followed by L. sarmentosa and E. cavolini. For all species, dissociation of gastrodermal cells was the dominant microscopic lesion followed by necrosis of the gastrodermis. Ciliates invading gastrodermis and associated with necrosis of polyps were seen only in E. cavolini. Epidermal tissue loss was seen only in L. sarmentosa, while P. clavata was distinguished by a prominent inflammatory response and unidentified dark round structures within the tentacle epidermis and gastrodermis with no host response. Further work to understand the cause of death in gorgonians is needed, particularly to elucidate the role of ciliates and environmental co-factors or infectious agents not visible on light microscopy, as well as applications of additional tools such as cytology.
Ecological inferences are often based on the locations at which species are present, but many species records have substantial uncertainty in spatial metadata, limiting their utility for fine-scale analyses. This is especially prevalent in historical records such as museum specimens, and in some citizen-science data. For example, the North American Breeding Bird Survey (BBS) has 55+ years of bird data from regular transects (“routes”) across the continent but was not designed to capture the spatial component of point count events, limiting analyses of species-habitat relationships for which it would otherwise be well suited. We present a new methodology for quantifying location uncertainty in BBS records using digitized estimated stop locations, deriving the corresponding environmental covariate uncertainty distributions, and incorporating this information into hierarchical species distribution models using informative Bayesian priors. This approach allows for estimation of species–environment relationships in a way that fully accounts for underlying spatial uncertainty. We quantify stop-location uncertainty in BBS data across the central United States, model bird–land cover relationships in the upper Midwest, and validate our method by comparing posterior land cover estimates to known covariate values for a subset of GPS-digitized stop locations. We provide code for implementing this method in R. Posterior land cover estimates (forest, grass/hay, and developed land cover), based on our informative priors, were highly correlated with known land cover values from GPS-digitized stop locations. Our approach thus makes it possible to responsibly leverage large historic and citizen science databases, such as the BBS, for fine-scale ecological analyses.
","language":"English","publisher":"American Ornithological Society","doi":"10.1093/ornithapp/duae041","usgsCitation":"Burner, R.C., Kirschbaum, A., Hostetler, J.A., Ziolkowski, D., Anich, N.M., Turek, D., Striegel, E.D., and Niemuth, N.D., 2024, Informative priors can account for location uncertainty in stop-level analyses of the North American Breeding Bird Survey (BBS), allowing fine-scale ecological analyses: Ornithological Applications, v. 126, no. 4, duae041, 17 p., https://doi.org/10.1093/ornithapp/duae041.","productDescription":"duae041, 17 p.","ipdsId":"IP-165153","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466929,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duae041","text":"Publisher Index Page"},{"id":462236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":913802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirschbaum, Alan","contributorId":344465,"corporation":false,"usgs":false,"family":"Kirschbaum","given":"Alan","affiliations":[{"id":82351,"text":"U.S. National Park Service (NPS)","active":true,"usgs":false}],"preferred":false,"id":913803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":913804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziolkowski, David 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":195409,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anich, Nicholas M.","contributorId":344466,"corporation":false,"usgs":false,"family":"Anich","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[{"id":82352,"text":"Wisconsin Department of Natural Resources (WI DNR)","active":true,"usgs":false}],"preferred":false,"id":913806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turek, Daniel","contributorId":290437,"corporation":false,"usgs":false,"family":"Turek","given":"Daniel","email":"","affiliations":[{"id":62426,"text":"Dept of Math and Statistics, Williams College","active":true,"usgs":false}],"preferred":false,"id":913807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Striegel, Eli D.","contributorId":344467,"corporation":false,"usgs":false,"family":"Striegel","given":"Eli","email":"","middleInitial":"D.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":913808,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Niemuth, Neal D. 0009-0006-9637-5588","orcid":"https://orcid.org/0009-0006-9637-5588","contributorId":204334,"corporation":false,"usgs":false,"family":"Niemuth","given":"Neal","email":"","middleInitial":"D.","affiliations":[{"id":36919,"text":"U.S. Fish and Wildlife Service Habitat and Population Evaluation Team","active":true,"usgs":false}],"preferred":false,"id":913809,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262253,"text":"70262253 - 2024 - Detecting stochasticity in population time series using a non-parametric test of intrinsic predictability","interactions":[],"lastModifiedDate":"2025-01-21T23:19:46.238354","indexId":"70262253","displayToPublicDate":"2024-09-13T16:12:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Detecting stochasticity in population time series using a non-parametric test of intrinsic predictability","docAbstract":"1. Many ecological systems dominated by stochastic dynamics can produce complex time series that inherently limit forecast accuracy. The ‘intrinsic predictability’ of these systems can be approximated by a time series complexity metric called weighted permutation entropy (WPE). While WPE is a useful metric to gauge forecast performance prior to model building, it is sensitive to noise and may be biased depending on the length of the time series. Here, we introduce a simple randomized permutation test (rWPE) to assess whether a time series is intrinsically more predictable than white noise.
2. We apply rWPE to both simulated and empirical data to assess its performance and usefulness. To do this, we simulate population dynamics under various scenarios, including a linear trend, chaotic, periodic and equilibrium dynamics. We further test this approach with observed abundance time series for 932 species across four orders of animals from the Global Population Dynamics Database. Finally, using Adélie (Pygoscelis adeliae) and emperor penguin (Aptenodytes forsteri) time series as case studies, we demonstrate the application of rWPE to multiple populations for a single species.
3. We show that rWPE can determine whether a system is significantly more predictable than white noise, even with time series as short as 10 years that show an apparent trend under biologically realistic stochasticity levels. Additionally, rWPE has statistical power close to 100% when time series are at least 30 time steps long and show chaotic or periodic dynamics. Power decreases to ~10% under equilibrium dynamics, irrespective of time series length. Among four classes of animal taxa, mammals have the highest relative frequency (28%) of time series that are both longer than 30 time steps and indistinguishable from white noise in terms of complexity, followed by insects (16%), birds (16%) and bony fishes (11%).
4. rWPE is a straightforward and useful method widely applicable to any time series, including short ones. By informing forecasters of the inherent limitations to a system's predictability, it can guide a modeller's expectations for forecast performance.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210x.14423","usgsCitation":"Sen, B., Che-Castaldo, C., Lynch, H., Ventura, F., LaRue, M., and Jenouvrier, S., 2024, Detecting stochasticity in population time series using a non-parametric test of intrinsic predictability: Methods in Ecology and Evolution, v. 15, no. 10, p. 1834-1846, https://doi.org/10.1111/2041-210x.14423.","productDescription":"13 p.","startPage":"1834","endPage":"1846","ipdsId":"IP-159742","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14423","text":"Publisher Index Page"},{"id":480893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sen, Bilgecan","contributorId":348620,"corporation":false,"usgs":false,"family":"Sen","given":"Bilgecan","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Che-Castaldo, Christian Joseph 0000-0002-7670-2178","orcid":"https://orcid.org/0000-0002-7670-2178","contributorId":347906,"corporation":false,"usgs":true,"family":"Che-Castaldo","given":"Christian Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Heather J.","contributorId":347911,"corporation":false,"usgs":false,"family":"Lynch","given":"Heather J.","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ventura, Francesco","contributorId":348623,"corporation":false,"usgs":false,"family":"Ventura","given":"Francesco","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":923661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaRue, Michelle A.","contributorId":348627,"corporation":false,"usgs":false,"family":"LaRue","given":"Michelle A.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":923662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenouvrier, Stephanie","contributorId":348629,"corporation":false,"usgs":false,"family":"Jenouvrier","given":"Stephanie","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":923663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265814,"text":"70265814 - 2024 - Anomalously high relief on Denali, Alaska, caused by tectonic, lithologic, and climatic drivers","interactions":[],"lastModifiedDate":"2025-04-16T14:50:11.735699","indexId":"70265814","displayToPublicDate":"2024-09-13T09:44:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Anomalously high relief on Denali, Alaska, caused by tectonic, lithologic, and climatic drivers","docAbstract":"We assess the growth of anomalously high relief on Denali, located in the Alaska Range, Alaska, and the tallest mountain in North America (6190 masl). Denali is 3000 m taller than most surrounding peaks. It lies inside a 19° restraining bend in the active Denali fault system that is moving at about 7 mm/yr, and thus there is a tectonic and structural driver for ongoing rock uplift. High relief around Denali is also due, in part, to its granitic rock type and low fracture density relative to adjacent metasediments. Here we show that unique climatic conditions at high elevations also contribute to the growth of relief. We examine 10Be concentrations in 1) three new gravel samples between 3500 and 5200 m elevation from sites unaffected by recent glacial erosion, 2) previously published samples from a sidewall of the Kahiltna Glacier from 2400 to 2800 masl, 3) previously published samples from medial moraines along the length of the Kahiltna Glacier from 1400 to ~500 masl, and 4) previously published alluvial samples along the Kahiltna River at an elevation of ~200 masl. These samples constitute a transect extending more than 5000 vertical meters, and the data establish that erosion rates decrease with elevation and contribute to the growth of relief. Erosion rates for the three new high-elevation samples are calculated to 4.6±0.6 mm/ka at 5.2 km, 28.6±3.7 mm/ka at 4.0 km, and 38±5 mm/ka at 3.5 km. Erosion rates at intermediate elevations, on the sidewall of the Kahiltna Glacier, range between 160-327 mm/ka. Along the medial moraines inferred erosion rates range between 140-537 mm/ka, and basin-wide erosion rates calculated from sediments in the river below the glacier range between 450-896 mm/ka. These differences in erosion rates can create relief of 3 km within 1-10 Ma, well within the estimated period of increase in rock uplift and exhumation on Denali over the last ~6 Ma. Meteorological data from 2130 to 5550 masl at 5 sites show it rarely gets above freezing above 4 km elevation, indicating that frost weathering currently plays a diminished role in erosion at high elevations. The immediate implication of this temperature and erosional correlation is an increase in relief. This is the first study to directly measure a significant decrease in erosion rates at high elevations in the relative absence of frost weathering. The results highlight the combined influence of rock type, glacial erosion, and permanent sub-zero temperatures on erosion rates. In combination with active faulting, the data explain the resultant increase in relief along the southern side of the Alaska Range over the past 100 ka.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118999","usgsCitation":"Matmon, A., Haeussler, P., Loso, M., and ASTER Team, 2024, Anomalously high relief on Denali, Alaska, caused by tectonic, lithologic, and climatic drivers: Earth and Planetary Science Letters, v. 646, 118999, 11 p., https://doi.org/10.1016/j.epsl.2024.118999.","productDescription":"118999, 11 p.","ipdsId":"IP-169051","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":496766,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04752095","text":"External Repository"},{"id":484640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.54619748981582,\n 63.53682458058037\n ],\n [\n -151.54619748981582,\n 62.243874616749224\n ],\n [\n -150.5,\n 62.243874616749224\n ],\n [\n -150.5,\n 63.53682458058037\n ],\n [\n -151.54619748981582,\n 63.53682458058037\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"646","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Matmon, Ari","contributorId":353463,"corporation":false,"usgs":false,"family":"Matmon","given":"Ari","affiliations":[{"id":52141,"text":"Hebrew University of Jerusalem","active":true,"usgs":false}],"preferred":false,"id":933609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":353464,"corporation":false,"usgs":false,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":84407,"text":"USGS ASC retired","active":true,"usgs":false}],"preferred":false,"id":933610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loso, Michael","contributorId":353465,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":933611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"ASTER Team","contributorId":353466,"corporation":false,"usgs":false,"family":"ASTER Team","affiliations":[{"id":84408,"text":"CEREGE France","active":true,"usgs":false}],"preferred":false,"id":933612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264617,"text":"70264617 - 2024 - Geodetic monitoring of the recent activity and the dome forming eruption at Nevado del Ruiz (Colombia), 2010–2023","interactions":[],"lastModifiedDate":"2025-03-17T14:42:19.586878","indexId":"70264617","displayToPublicDate":"2024-09-13T09:35:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic monitoring of the recent activity and the dome forming eruption at Nevado del Ruiz (Colombia), 2010–2023","docAbstract":"Nevado del Ruiz (Colombia) is infamous for the catastrophic eruption of 1985 that destroyed the villages of Armero and Chinchiná. However, this was not the volcano’s first destructive event; similar eruptions also occurred in 1595 and 1845. In 1985, the limited geodetic data available failed to provide a clear warning of the impending eruption. Since then, advancement in geodetic monitoring, now incorporating tilt and satellite geodesy, along with improvements in seismic, geochemical, geological and remote sensing monitoring, have enhanced hazards assessment and mitigated the risk during subsequent eruptions in 1989, 2012, and 2015–2019, as well as during periods of unrest over the last 13 years. Modeling of deformation data over the past 13 years reveals complex interactions between the local, shallow magmatic system beneath Nevado del Ruiz and a deep, regional magmatic system beneath Nevado de Santa Isabel, 9 km southwest of Nevado del Ruiz. Before February 2012, the volcano deflated because of the depressurization of the local shallow reservoir. This same reservoir later fueled ash emissions and gas release (2012–2023), and a dome-forming eruption (2015–2019). In contrast, the inflation observed from 2012 to 2023 is linked to the pressurization of the deep reservoir beneath the Nevado de Santa Isabel.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-72058-y","usgsCitation":"Ordonez, M., Idárraga, J., Adamo, R., and Battaglia, M., 2024, Geodetic monitoring of the recent activity and the dome forming eruption at Nevado del Ruiz (Colombia), 2010–2023: Scientific Reports, v. 14, 21441, 13 p., https://doi.org/10.1038/s41598-024-72058-y.","productDescription":"21441, 13 p.","ipdsId":"IP-164180","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-72058-y","text":"Publisher Index Page"},{"id":483449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Colombia","otherGeospatial":"Nevado del Ruiz","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.75,\n 5.25\n ],\n [\n -75.75,\n 4.333\n ],\n [\n -74.667,\n 4.333\n ],\n [\n -74.667,\n 5.25\n ],\n [\n -75.75,\n 5.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ordonez, Milton","contributorId":139632,"corporation":false,"usgs":false,"family":"Ordonez","given":"Milton","email":"","affiliations":[{"id":12810,"text":"Colombian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":930965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Idárraga, Juan","contributorId":352362,"corporation":false,"usgs":false,"family":"Idárraga","given":"Juan","affiliations":[{"id":12810,"text":"Colombian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":930966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adamo, Roberta","contributorId":352363,"corporation":false,"usgs":false,"family":"Adamo","given":"Roberta","affiliations":[{"id":18868,"text":"Sapienza - University of Rome","active":true,"usgs":false}],"preferred":false,"id":930967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":930968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261016,"text":"70261016 - 2024 - Bay Miwok evening primrose: A new subspecies of Oenothera deltoides (Onagraceae) endemic to California","interactions":[],"lastModifiedDate":"2024-11-20T15:41:23.951915","indexId":"70261016","displayToPublicDate":"2024-09-13T08:36:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"title":"Bay Miwok evening primrose: A new subspecies of Oenothera deltoides (Onagraceae) endemic to California","docAbstract":"California contains exceptional biodiversity in geography and plant life, including numerous endemic species, some of which are cryptic. The Oenothera deltoides Torr. & Frém. species complex represents a prime example of cryptic diversity. Here, we recognize a new subspecies of Oenothera deltoides, O. deltoides subsp. julpunensis S.F.Jones, subsp. nov., that is a local endemic of windblown sand deposits on the eastern Antioch Dunes sand sheet in the San Francisco Bay-Delta region of California, USA. With the goal of providing clarity to managers of listed species and better understanding of California's diverse flora, we addressed the puzzle of O. deltoides in the region by combining range-wide field surveys with modern genomic tools. We describe the proposed subspecies, its ecology and distribution, and discuss its conservation. As a somewhat cryptic local endemic with small population size and disappearing habitat, the proposed subspecies would benefit from conservation and management to persist as a member of the California flora.
","language":"English","publisher":"BioOne","doi":"10.3120/0024-9637-71.2.84","usgsCitation":"Jones, S., Milano, E.R., O’Dell, R., Ferrell, M., Vandergast, A.G., and Thorne, K., 2024, Bay Miwok evening primrose: A new subspecies of Oenothera deltoides (Onagraceae) endemic to California: Madroño, v. 71, no. 2, p. 84-104, https://doi.org/10.3120/0024-9637-71.2.84.","productDescription":"21 p.","startPage":"84","endPage":"104","ipdsId":"IP-152160","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":464343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":918936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263106,"text":"70263106 - 2024 - Identifying Pareto-efficient eradication strategies for invasive populations","interactions":[],"lastModifiedDate":"2025-01-29T15:16:31.262149","indexId":"70263106","displayToPublicDate":"2024-09-13T08:11:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Identifying Pareto-efficient eradication strategies for invasive populations","docAbstract":"Invasive species are a major cause of biodiversity loss and are notoriously expensive and challenging to manage. We developed a decision-analytic framework for evaluating invasive species removal strategies, given objectives of maximizing eradication probability and minimizing costs. The framework uses an existing estimation model for spatially referenced removal data—one of the most accessible types of invasive species data—to obtain estimates of population growth rate, movement probability, and detection probability. We use these estimates in simulations to identify Pareto-efficient strategies—strategies where increases in eradication probability cannot be obtained without increases in cost—from a set of proposed strategies. We applied the framework post hoc to a successful eradication of veiled chameleons (Chamaeleo calyptratus) and identified the potential for substantial improvements in efficiency. Our approach provides managers and policymakers with tools to identify cost-effective strategies for a range of invasive species using only prior knowledge or data from initial physical removals.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.13051","usgsCitation":"Yackel Adams, A.A., Hostetter, N.J., Link, W., and Converse, S.J., 2024, Identifying Pareto-efficient eradication strategies for invasive populations: Conservation Letters, v. 17, no. 5, e13051, 10 p., https://doi.org/10.1111/conl.13051.","productDescription":"e13051, 10 p.","ipdsId":"IP-163878","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487603,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.13051","text":"Publisher Index Page"},{"id":481449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.64418198330387,\n 21.042535468371597\n ],\n [\n -156.7100067465097,\n 20.94926990791153\n ],\n [\n -156.5767160394666,\n 20.620019168030595\n ],\n [\n -156.3095497551291,\n 20.54804441612707\n ],\n [\n -155.97692015447151,\n 20.640096885489086\n ],\n [\n -155.96802530273143,\n 20.818214275871142\n ],\n [\n -156.26695266911045,\n 20.967008230356555\n ],\n [\n -156.64418198330387,\n 21.042535468371597\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":925524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, William A.","contributorId":299684,"corporation":false,"usgs":false,"family":"Link","given":"William A.","affiliations":[{"id":36625,"text":"Emeritus","active":true,"usgs":false}],"preferred":false,"id":925525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":925526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259692,"text":"70259692 - 2024 - Orthoptera-specific target enrichment (OR-TE) probes resolve relationships over broad phylogenetic scales","interactions":[],"lastModifiedDate":"2024-10-22T11:02:07.005926","indexId":"70259692","displayToPublicDate":"2024-09-13T06:00:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Orthoptera-specific target enrichment (OR-TE) probes resolve relationships over broad phylogenetic scales","docAbstract":"Phylogenomic data are revolutionizing the field of insect phylogenetics. One of the most tenable and cost-effective methods of generating phylogenomic data is target enrichment, which has resulted in novel phylogenetic hypotheses and revealed new insights into insect evolution. Orthoptera is the most diverse insect order within polyneoptera and includes many evolutionarily and ecologically interesting species. Still, the order as a whole has lagged behind other major insect orders in terms of transitioning to phylogenomics. In this study, we developed an Orthoptera-specific target enrichment (OR-TE) probe set from 80 transcriptomes across Orthoptera. The probe set targets 1828 loci from genes exhibiting a wide range of evolutionary rates. The utility of this new probe set was validated by generating phylogenomic data from 36 orthopteran species that had not previously been subjected to phylogenomic studies. The OR-TE probe set captured an average of 1037 loci across the tested taxa, resolving relationships across broad phylogenetic scales. Our detailed documentation of the probe design and bioinformatics process is intended to facilitate the widespread adoption of this tool.
Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals of increasing concern to human health. PFAS contamination in water systems has been linked to a variety of sources including hydrocarbon fire suppression activities, industrial and military land uses, agricultural applications of biosolids, and consumer products. To assess PFAS in California tap water, we collected 60 water samples from inside homes in four different geographic regions, both urban and rural. We selected mostly small water systems with known history of industrial chemical or pesticide contamination and that served socioeconomically disadvantaged communities. Thirty percent of the tap water samples (18) had a detection of at least one of the 32 targeted PFAS and most detections (89 %) occurred in heavily industrialized Southeast Los Angeles (SELA). The residents of SELA are predominately Latino and low-income. Concentrations of perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) ranged from 6.8 to 13.6 ng/L and 9.4–17.8 ng/L, respectively in SELA and were higher than State (PFOA: 0.007 ng/L; PFOS: 1.0 ng/L) and national health-based goals (zero). To look for geographic patterns, we mapped potential sources of PFAS contamination, such as chrome plating facilities, airports, landfills, and refineries, located near the SELA water systems; consistent with the multiple potential sources in the area, no clear spatial associations were observed. The results indicate the importance of systematic testing of PFAS in tap water, continued development of PFAS regulatory standards and advisories for a greater number of compounds, improved drinking-water treatments to mitigate potential health threats to communities, especially in socioeconomically disadvantaged and industrialized areas.
This three-day field trip examines deposits and landscape evolution associated with recent eruptions of Kīlauea and Mauna Loa, Hawai‘i, USA, beginning with the lower East Rift Zone eruption and associated partial caldera collapse during the summer of 2018. As of this writing, there have been five eruptions within Kīlauea’s summit caldera, one eruption in the Southwest Rift Zone of Kīlauea, and several intrusions into the south caldera and Southwest Rift Zone since 2018. For the first time since 1984, Mauna Loa erupted in 2022, with lava flows in the caldera and along the Northeast Rift Zone. Recent eruptions contrast significantly with the preceding period, characterized by Kīlauea’s long-lived East Rift Zone eruption at Pu‘u‘ō‘ō from 1983 to 2018 and sustained lava lake activity at the summit from 2008 to 2018.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From coastal geomorphology to magmatism: Guides to GSA connects 2024 field trips in southern California and beyond","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2024.0070(01)","usgsCitation":"Lundblad, S.P., Gallant, E., Zoeller, M.H., Lynn, K.J., and Flinders, A.F., 2024, Island of Hawaiʻi eruptions 2018–present: Profound landscape and human impacts, in From coastal geomorphology to magmatism: Guides to GSA connects 2024 field trips in southern California and beyond, v. 70, p. 1-25, https://doi.org/10.1130/2024.0070(01).","productDescription":"25 p.","startPage":"1","endPage":"25","ipdsId":"IP-167002","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.8133468596503,\n 19.812796096231367\n ],\n [\n -155.9115446519225,\n 19.007439423027606\n ],\n [\n -155.64043335586658,\n 18.902340312585572\n ],\n [\n -155.2743263694604,\n 19.196838087175546\n ],\n [\n -154.89274255709807,\n 19.354032426888594\n ],\n [\n -154.79294371386484,\n 19.487056720173186\n ],\n [\n -154.9637224830341,\n 19.708315527873097\n ],\n [\n -155.8133468596503,\n 19.812796096231367\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Van Buer, Nicholas","contributorId":214183,"corporation":false,"usgs":false,"family":"Van Buer","given":"Nicholas","email":"","affiliations":[{"id":38988,"text":"Cal State Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":958069,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schwartz, Joshua J.","contributorId":289850,"corporation":false,"usgs":false,"family":"Schwartz","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":958070,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lundblad, Steven P.","contributorId":223774,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steven","email":"","middleInitial":"P.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":905465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":905466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":905467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":905468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flinders, Ashton F. 0000-0003-2483-4635","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":271052,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":905469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258362,"text":"fs20243023 - 2024 - Projected sea-level rise and high tide flooding at Dry Tortugas National Park, Florida","interactions":[],"lastModifiedDate":"2024-09-30T19:27:45.08121","indexId":"fs20243023","displayToPublicDate":"2024-09-12T13:09:12","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":"2024-3023","displayTitle":"Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida","title":"Projected sea-level rise and high tide flooding at Dry Tortugas National Park, Florida","docAbstract":"National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at Dry Tortugas National Park, Florida, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243023","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., and Simons, B.M., 2024, Projected sea-level rise and high tide flooding at Dry Tortugas National Park, Florida: U.S. Geological Survey Fact Sheet 2024–3023, 6 p., https://doi.org/10.3133/fs20243023.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156842","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":433719,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3023/fs20243023.pdf","size":"4.49 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":433718,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3023/coverthb.jpg"},{"id":462373,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243024","text":"USGS Fact Sheet 2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"},{"id":433720,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XL5CTQ","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics at Dry Tortugas National Park, Florida"},{"id":462369,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243008","text":"USGS Fact Sheet 2024-3008","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Timucuan Ecological and Historic Preserve, Florida"},{"id":462370,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243016","text":"USGS Fact Sheet 2024-3016","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida"},{"id":462371,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243021","text":"USGS Fact Sheet 2024-3021","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at San Juan National Historic Site, Puerto Rico"},{"id":462372,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243022","text":"USGS Fact Sheet 2024-3022","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.89263158130372,\n 24.602753151758805\n ],\n [\n -82.82807383280752,\n 24.641027909996808\n ],\n [\n -82.81754811294384,\n 24.679290943579872\n ],\n [\n -82.88140414678243,\n 24.699055579386297\n ],\n [\n -82.93473446075733,\n 24.67036395182518\n ],\n [\n -82.9501721832241,\n 24.618702391697582\n ],\n [\n -82.931927602127,\n 24.598287000187696\n ],\n [\n -82.89263158130372,\n 24.602753151758805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152
Contact Us- USGS Publications Warehouse
","tableOfContents":"This one-day field trip explores northeastern Santa Cruz Island (Limuw, in native Chumash), a part of Channel Islands National Park, USA. The geomorphology of eastern Santa Cruz Island has been controlled largely by active tectonics and sea-level fluctuations. The bedrock is Miocene volcanic rock overlain by Miocene shale and siltstone. The island has experienced Quaternary uplift, perhaps due to movement along an offshore thrust fault. Smaller faults are exposed in sea cliffs and have displaced Miocene rocks. Superimposed upon island uplift, there have been Quaternary sea-level fluctuations from interglacial-glacial climate changes. Interglacial high-sea stands are recorded as marine terraces. The last major interglacial period, ~120,000 years ago, left only small remnants of marine terraces. Most evidence of this high-sea stand was eroded away in the Holocene. However, a prominent marine terrace is preserved at 75–120 m above sea level. Some fossil mollusks from the deposits of this terrace, probably reworked, have given ages as old as Pliocene, but most yield ages of 2.6–2.0 Ma. The age and elevation of this terrace indicate a very low rate of tectonic uplift, similar to nearby Anacapa Island. A low uplift rate explains the absence or scarcity of younger terraces, including that of the last interglacial period. Low stands of sea (glacial periods) exposed the insular shelf, rich in carbonate skeletal sand. During glacial periods, these sands were entrained by the wind, deposited as dunes on marine terraces, and cemented into eolianite. Clay-rich Vertisols with silt mantles have developed on eolianites and terraces of the island, partly from in situ weathering, but also from inputs of Mojave Desert dust during Santa Ana wind events. This guide includes stops at Scorpion Anchorage, Cavern Point, and Potato Harbor. It provides insights into the bedrock, coastal geomorphology, fossiliferous marine terraces, eolianite, Vertisols, and the three formations on eastern Santa Cruz Island: the Santa Cruz Island Volcanics, the Monterey Formation, and the Potato Harbor Formation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From coastal geomorphology to magmatism: Guides to GSA connects 2024 Field trips in southern California and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2024.0070(05)","usgsCitation":"Muhs, D.R., Schumann, R.R., Minor, S.A., and Groves, L.T., 2024, Geology, coastal geomorphology, and soils of eastern Santa Cruz Island (Limuw), Channel Islands National Park, California, USA, chap. of From coastal geomorphology to magmatism: Guides to GSA connects 2024 Field trips in southern California and beyond, v. 70, p. 83-124, https://doi.org/10.1130/2024.0070(05).","productDescription":"42 p.","startPage":"83","endPage":"124","ipdsId":"IP-164863","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":481269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park, Santa Cruz Island (Limuw)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.93460487987,\n 34.10078348793449\n ],\n [\n -119.93460487987,\n 33.94807077514925\n ],\n [\n -119.50725969844112,\n 33.94807077514925\n ],\n [\n -119.50725969844112,\n 34.10078348793449\n ],\n [\n -119.93460487987,\n 34.10078348793449\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Van Buer, Nicholas","contributorId":214183,"corporation":false,"usgs":false,"family":"Van Buer","given":"Nicholas","email":"","affiliations":[{"id":38988,"text":"Cal State Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":925172,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schwartz, Joshua J.","contributorId":289850,"corporation":false,"usgs":false,"family":"Schwartz","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925173,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":925059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Groves, Lindsey T.","contributorId":213427,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","email":"","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":925062,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70258367,"text":"70258367 - 2024 - Efficacy of non-lead ammunition distribution programs to offset fatalities of golden eagles in southeast Wyoming","interactions":[],"lastModifiedDate":"2024-10-07T16:29:43.517516","indexId":"70258367","displayToPublicDate":"2024-09-12T08:49:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of non-lead ammunition distribution programs to offset fatalities of golden eagles in southeast Wyoming","docAbstract":"Golden eagles (Aquila chrysaetos) face many anthropogenic risks including illegal shooting, electrocution, collision with wind turbines and vehicles, and lead poisoning. Minimizing or offsetting eagle deaths resulting from human-caused sources is often viewed as an important management objective. Despite understanding the leading anthropogenic sources of eagle fatalities, existing scientific research supports few practical solutions to mitigate these causes of death. We implemented a non-lead ammunition distribution program in southeast Wyoming, USA, and evaluated its effectiveness as a compensatory mitigation action to offset incidental take (i.e., fatalities) of golden eagles at wind energy facilities. In 2020 and 2022, we distributed non-lead ammunition to 699 hunters with big-game tags specific to our >400,000-ha study area. These hunters harvested 296 pronghorn (Antilocapra americana), 14 deer (Odocoileus spp.), and 33 elk (Cervus canadensis) in the study area, which accounted for 6.9% and 6.5% of the harvest in these hunt units in 2020 and 2022, respectively. We used road surveys in 2020 to estimate a density of 0.036 (95% CI = 0.018–0.058) golden eagles/km2 during the big game hunting season in our study area. Model output suggests that our non-lead ammunition distribution program offset the fatality of 3.84 (95% CI = 1.06–23.72) eagles over the course of these 2 hunting seasons. Our work illustrates the potential usefulness of non-lead ammunition distribution programs as an action to mitigate eagle fatalities caused by wind facilities or other anthropogenic causes of death.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22647","usgsCitation":"Slabe, V.S., Crandall, R.H., Katzner, T., Duerr, A.E., and Miller, T.A., 2024, Efficacy of non-lead ammunition distribution programs to offset fatalities of golden eagles in southeast Wyoming: Journal of Wildlife Management, v. 88, no. 8, e22647, 10 p., https://doi.org/10.1002/jwmg.22647.","productDescription":"e22647, 10 p.","ipdsId":"IP-161994","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439167,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22647","text":"Publisher Index Page"},{"id":434761,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.92931952980723,\n 43.24589994296005\n ],\n [\n -107.92931952980723,\n 41.159953154947516\n ],\n [\n -105.14921780613884,\n 41.159953154947516\n ],\n [\n -105.14921780613884,\n 43.24589994296005\n ],\n [\n -107.92931952980723,\n 43.24589994296005\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Slabe, Vincent S.","contributorId":344176,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","email":"","middleInitial":"S.","affiliations":[{"id":63970,"text":"Conservation Science Global","active":true,"usgs":false}],"preferred":false,"id":913075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crandall, Ross H.","contributorId":198926,"corporation":false,"usgs":false,"family":"Crandall","given":"Ross","email":"","middleInitial":"H.","affiliations":[{"id":6657,"text":"Craighead Beringia South","active":true,"usgs":false}],"preferred":false,"id":913076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":913077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":913078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":913079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261560,"text":"70261560 - 2024 - Volcanism and tectonics of young basaltic fields in the eastern California shear zone, California, USA","interactions":[],"lastModifiedDate":"2024-12-16T14:49:23.820529","indexId":"70261560","displayToPublicDate":"2024-09-12T08:42:26","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Volcanism and tectonics of young basaltic fields in the eastern California shear zone, California, USA","docAbstract":"Circa 12 Ma, there was a fundamental reorganization of magmatism and tectonics in the Mojave Desert, California, USA, from basaltic to rhyolitic fields associated with extensional tectonics to dispersed basaltic monogenetic fields associated with the northwest- or east-striking strike-slip faults. The broad zone of strike-slip faults associated with the San Andreas transform margin stretched east to Arizona, but the high slip-rate central part that is known as the Quaternary eastern California shear zone is the locus of the post–12 Ma volcanism. We compiled a literature review of 29 basaltic fields, conducted detailed and reconnaissance study of several fields, and conducted geochemistry on many. Most of the volcanic fields are near or cut by the long fault systems, but more importantly, in nearly two-thirds of the fields that have scoria cones, the cones are <1 km from one of these faults. Eighteen volcanic fields have geochemistry data, and of the 441 analyses of major elements, 286 are new U.S. Geological Survey data that include comprehensive trace elements. The data are used to compare fields and determine the compositional variations during the formation of each field. Comparisons between fields show that several nearby volcanic fields have similar geochemical compositions and trends compared to distant fields; we suggest that six magmatic clusters formed, some with 200–300 k.y. duration. Spatial patterns change over the 12 m.y. span, with early fields forming in the north and south and the youngest in a central area from Pisgah to Amboy fields. The volume of magma also changed, most notably with a sixfold increase ca. 4 Ma followed by a 2–3 m.y. quiescence. In addition to the fracture control provided by strike-slip faults as magma conduits, we advance arguments for shear melting in the mantle along the most active faults, with secondary controls of local tectonic interactions, to explain spatial and temporal patterns in the fields.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From coastal geomorphology to magmatism: Guides to GSA connects 2024 field trips in southern California and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2024.0070(06)","usgsCitation":"Buesch, D.C., and Miller, D., 2024, Volcanism and tectonics of young basaltic fields in the eastern California shear zone, California, USA, chap. of From coastal geomorphology to magmatism: Guides to GSA connects 2024 field trips in southern California and beyond, v. 70, p. 125-157, https://doi.org/10.1130/2024.0070(06).","productDescription":"33 p.","startPage":"125","endPage":"157","ipdsId":"IP-165587","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":465142,"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 -114.81457812408306,\n 32.741341527582605\n ],\n [\n -114.51850207327473,\n 33.84659454462617\n ],\n [\n -114.15791235302103,\n 34.31724338526864\n ],\n [\n -114.80864946075852,\n 35.199130287438805\n ],\n [\n -117.98533883054941,\n 37.62054159081218\n ],\n [\n -121.61806378609694,\n 36.16806803153355\n ],\n [\n -120.26877074820086,\n 34.73154575007007\n ],\n [\n -117.90472675927293,\n 33.87436079530947\n ],\n [\n -117.83103647077345,\n 33.63574209904861\n ],\n [\n -116.63455828291453,\n 32.60190143996401\n ],\n [\n -114.81457812408306,\n 32.741341527582605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Van Buer, Nicholas","contributorId":214183,"corporation":false,"usgs":false,"family":"Van Buer","given":"Nicholas","email":"","affiliations":[{"id":38988,"text":"Cal State Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":921131,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schwartz, Joshua J.","contributorId":289850,"corporation":false,"usgs":false,"family":"Schwartz","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":921132,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":921049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":921050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70258698,"text":"70258698 - 2024 - Range-wide population genomic structure of the Karner blue butterfly, Plebejus (Lycaeides) samuelis","interactions":[],"lastModifiedDate":"2024-09-24T11:50:21.120036","indexId":"70258698","displayToPublicDate":"2024-09-12T06:47:04","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":"Range-wide population genomic structure of the Karner blue butterfly, Plebejus (Lycaeides) samuelis","docAbstract":"The Karner blue butterfly, Plebejus (Lycaeides) samuelis, is an endangered North American climate change-vulnerable species that has undergone substantial historical habitat loss and population decline. To better understand the species' genetic status and support Karner blue conservation, we sampled 116 individuals from 22 localities across the species' geographical range in Wisconsin (WI), Michigan (MI), Indiana (IN), and New York (NY). Using genomic analysis, we found that these samples were divided into three major geographic groups, NY, WI, and MI-IN, with populations in WI and MI-IN each further divided into three subgroups. A high level of inbreeding was revealed by inbreeding coefficients above 10% in almost all populations in our study. However, strong correlation between FST and geographical distance suggested that genetic divergence between populations increases with distance, such that introducing individuals from more distant populations may be a useful strategy for increasing population-level diversity and preserving the species. We also found that Karner blue populations had lower genetic diversity than closely related species and had more alleles that were present only at low frequencies (<5%) in other species. Some of these alleles may negatively impact individual fitness and may have become prevalent in Karner blue populations due to inbreeding. Finally, analysis of these possibly deleterious alleles in the context of predicted three-dimensional structures of proteins revealed potential molecular mechanisms behind population declines, providing insights for conservation. This rich new range-wide understanding of the species' population genomic structure can contextualize past extirpations and help conserve and even enhance Karner blue genetic diversity.
Invasive carp pose substantial economic and ecological damage when populations are widespread in freshwater systems within the United States. Resource managers in the United States have few chemical control tools to selectively remove nuisance fish. This study examined whether Antimycin–A (antimycin) wax encapsulated microparticles could cause selective lethality in invasive carps. The antimycin microparticles were selective toward bighead carp (Hypophthalmichthys nobilis) and silver carp (Hypophthalmichthys molitrix) across multiple experimental scales. Microparticles applied in experimental pond studies caused approximately 50 percent lethality in invasive carp. Effluent pond studies performed at Rathbun Fish Hatchery (Moravia, Iowa) caused silver carp lethality at a lower rate than previous pond or laboratory studies (approximately 1 percent); however, minimal effects on other fish species were observed. The antimycin microparticle formulation shows the ability to cause lethality in filter-feeding invasive carp relative to other fish species and demonstrated the plausibility for delivering a typically nonselective toxicant in a selective manner to specific species based on their physiological feeding traits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241052","usgsCitation":"Sauey, B.W., Saari, G.N., Putnam, J.G., Nelson, J.E., Wamboldt, J.J., Steiner, J.N., and Calfee, R.D., 2024, A novel tool to selectively deliver a control agent to filter-feeding silver and bighead carp: U.S. Geological Survey Open-File Report 2024–1052, 17 p., https://doi.org/10.3133/ofr20241052.","productDescription":"Report: vii, 17 p.; Data Release","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158198","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":433504,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1052/images/"},{"id":433506,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241052/full"},{"id":433501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1052/coverthb.jpg"},{"id":433502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1052/ofr20241052.pdf","text":"Report","size":"1.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1052"},{"id":433503,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1052/ofr20241052.XML"},{"id":499261,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117491.htm","linkFileType":{"id":5,"text":"html"}},{"id":433505,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DHXFTG","text":"UGSS data release","linkHelpText":"Data release for a novel tool to selectively deliver a control agent to filter-feeding silver and bighead carp"}],"contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54603
Monitoring wild fish health and exposure effects in impacted rivers and streams with differing land use has become a valuable research tool. Smallmouth bass (Micropterus dolomieu) are a sensitive, indicator species that exhibit signs of immunosuppression and endocrine disruption in response to water quality changes and contaminant exposure. To determine the impact of agriculture and development on smallmouth bass health, two sites (a developed/agriculture site and a forested site) in the Susquehanna River watershed, Pennsylvania were selected where bass and water chemistry were sampled from 2015 to 2019. Smallmouth bass were sampled for histopathology to assess parasite and macrophage aggregate density in the liver and spleen, condition factor (Ktl), hepatic gene transcript abundance, hepatosomatic index (HSI), and a health assessment index (HAI). Land use at the developed/agriculture site included greater pesticide application rates and phytoestrogen crop cover and more detections and higher concentrations of pesticides, wastewater-associated contaminants, hormones, phytoestrogens, and mycotoxins than at the forested site. Additionally, at the developed/agriculture site, indicators of molecular changes, including oxidative stress, immune/inflammation, and lipid metabolism-related hepatic gene transcripts, were associated with more contaminants and land use variables. At both sites, there were multiple associations of contaminants with liver and/or spleen macrophage aggregate density, indicating that changes at the molecular level seemed to be a better indicator of exposures unique to each site. The findings illustrate the importance of timing for land management practices, the complex mixtures aquatic animals are exposed to, and the temporal changes in contaminant concentration. Agricultural practices that affect hepatic gene transcripts associated with immune function and disease resistance were demonstrated which could negatively affect smallmouth bass populations.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-024-13049-4","usgsCitation":"Walsh, H.L., Smith, G., Schall, M., Gordon, S.E., and Blazer, V., 2024, Temporal analysis of water chemistry and smallmouth bass (Micropterus dolomieu) health at two sites with divergent land use in the Susquehanna River watershed, Pennsylvania, USA: Environmental Monitoring and Assessment, v. 196, 922, 24 p., https://doi.org/10.1007/s10661-024-13049-4.","productDescription":"922, 24 p.","ipdsId":"IP-159079","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439168,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-024-13049-4","text":"Publisher Index Page"},{"id":434903,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EHVRD","text":"USGS data release","linkHelpText":"Water Chemistry and Smallmouth Bass Biological Data from Pine Creek and West Branch Mahantango Creek, Pennsylvania, 2015-2019"},{"id":433722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.20707157152276,\n 41.80595501170811\n ],\n [\n -77.72931901033877,\n 41.80595501170811\n ],\n [\n -77.72931901033877,\n 40.1884798871686\n ],\n [\n -76.20707157152276,\n 40.1884798871686\n ],\n [\n -76.20707157152276,\n 41.80595501170811\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"196","noUsgsAuthors":false,"publicationDate":"2024-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":912964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Geoffrey","contributorId":199064,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey","affiliations":[],"preferred":false,"id":912965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schall, Megan","contributorId":343361,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":912966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":912968,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259248,"text":"70259248 - 2024 - Reexamining the Honolulu Volcanics: Hawai‘i's classic case of rejuvenation volcanism","interactions":[],"lastModifiedDate":"2024-10-03T15:55:03.375339","indexId":"70259248","displayToPublicDate":"2024-09-11T09:12:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Reexamining the Honolulu Volcanics: Hawai‘i's classic case of rejuvenation volcanism","docAbstract":"Rejuvenated volcanism is a worldwide phenomenon occurring on many oceanic islands in all of the major ocean basins. This plume-related volcanism follows the main edifice-building stage after a hiatus of variable duration (e.g. 0.6–2 Myrs in Hawai'i). The Honolulu Volcanics (HV), the classic case of rejuvenated volcanism, involved monogenetic eruptions from at least 48 vent areas. Previous studies inferred these vents were aligned along 3 to 11 rifts oriented orthogonal to the propagation direction of the Hawaiian plume. HV basalts are known for having high MgO contents (greater than 10 wt %) and upper mantle xenoliths. Thus, HV magmas are assumed to be relatively primitive and to have ascended rapidly (less than 1 day) through the crust. However, new analyses of olivine cores in basalts from 24 HV vents are mostly too low in forsterite content (74–86 mol %) to be in equilibrium with mantle melts. Olivine and clinopyroxene in HV basalts commonly show reverse zoning indicating magma mixing prior to eruption. These results are inconsistent with the rapid ascent of HV magmas directly from their mantle source. Many of the HV magmas underwent storage (probably in the lower crust or uppermost mantle), crystal fractionation and magma mixing prior to eruption. New 40Ar/39Ar dates were determined for 11 HV lavas to evaluate their eruptive history. These ages, 80 to 685 ka, combined with our previous and other 40Ar/39Ar ages for HV lavas reveal long gaps (greater than 50 kyr) between some eruptions. Our comprehensive, whole-rock major and trace element database (63 XRF analyses, 57 ICPMS analyses) of basalts from 37 vents show remarkable compositional diversity with no obvious spatial pattern or temporal trends. The two most recent eruptive sequences have the greatest diversity (basanite and melilitite compositions). HV basanites show systematic trace element trends that may reflect mixing of multiple source components. The nephelinites and melilitites require a complex source history that may have involved residual accessory minerals during mantle melting and a metasomatic component that was not carbonatitic. The new ages and geochemical data show eruptions along most of the previously proposed rift systems were unrelated (except for the Koko Rift). Therefore, geodynamic models that relate HV volcanism to these rift systems are invalid. Lava volumes for two HV eruptions were estimated at 0.11 and 0.23 km3 using surface mapping and water well data. Similar size, recent monogenetic eruptions in Auckland, New Zealand, were inferred to have lasted several months. Thus, if another HV eruption were to occur, which is possible given the long hiatus between eruptions, it would be extremely disruptive for the nearly 1 million residents of Honolulu. None of the existing geodynamic models fully explain the age duration, volumes and the locations of Hawai'i's rejuvenated volcanism. Thus, the cause of this secondary volcanism remains enigmatic.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae093","usgsCitation":"Garcia, M.O., Norman, M.D., Jicha, B., Lynn, K.J., and Jiang, P., 2024, Reexamining the Honolulu Volcanics: Hawai‘i's classic case of rejuvenation volcanism: Journal of Petrology, v. 65, no. 9, egae093, 24 p., https://doi.org/10.1093/petrology/egae093.","productDescription":"egae093, 24 p.","ipdsId":"IP-161257","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498025,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae093","text":"Publisher Index Page"},{"id":462482,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Honolulu Volcanics, Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.95228727057142,\n 21.303437544076758\n ],\n [\n -157.7876854268278,\n 21.244288947214542\n ],\n [\n -157.68978498381696,\n 21.25531845437243\n ],\n [\n -157.6413726768336,\n 21.309451323199127\n ],\n [\n -157.6446001639659,\n 21.336510281621585\n ],\n [\n -157.72098402609515,\n 21.470728941249874\n ],\n [\n -157.7780029654312,\n 21.470728941249874\n ],\n [\n -157.98671379998177,\n 21.336510281621585\n ],\n [\n -157.95228727057142,\n 21.303437544076758\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"65","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia, Michael O.","contributorId":225524,"corporation":false,"usgs":false,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":914550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Marc D.","contributorId":344700,"corporation":false,"usgs":false,"family":"Norman","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":914551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jicha, Brian","contributorId":213920,"corporation":false,"usgs":false,"family":"Jicha","given":"Brian","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":914552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiang, Peng","contributorId":344701,"corporation":false,"usgs":false,"family":"Jiang","given":"Peng","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":914554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258256,"text":"sir20245075 - 2024 - Low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020","interactions":[],"lastModifiedDate":"2025-12-23T19:34:36.395091","indexId":"sir20245075","displayToPublicDate":"2024-09-11T08:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5075","displayTitle":"Low-Flow Statistics Computed for Streamflow Gages and Methods for Estimating Selected Low-Flow Statistics for Ungaged Stream Locations in Ohio, Water Years 1975–2020","title":"Low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020","docAbstract":"A study was conducted by the U.S. Geological Survey, in cooperation with the Ohio Water Development Authority and the Ohio Environmental Protection Agency, to compute low-flow frequency, flow-duration, and harmonic mean flow statistics for long-term streamflow gages and to develop regression equations to estimate those statistics at unregulated, ungaged stream locations in Ohio. The flow statistics were computed with data collected after the 1974 water year because upward trends and statistically significant step changes (occurring after the late 1960s but before 1975) in annual flow statistics were detected at many candidate gages in Ohio. A total of 180 continuous-record gages in Ohio and bordering States were identified as having at least 10 years of daily flow records during the analytical period (water years 1975–2020). Also identified were five low-flow partial-record gages in Ohio that had instantaneous low flows that correlated strongly with daily streamflows at one of the continuous-record gages (also referred to as index gages). For continuous-record gages, the following flow statistics were computed: annual and seasonal minimum 1-, 7-, 30-, and 90-day flows with 2-, 5-, 10-, 20-, and 50-year recurrence intervals; annual and seasonal 98-, 95-, 90-, 85-, 80-, 75-, 70-, 60-, 50-, 40-, 30-, 20-, and 10-percent duration flows; and the harmonic mean flow. For partial-record gages, estimates were made for annual and seasonal minimum 1-, 7-, 30-, and 90-day low flows with 2-, 10-, and 20-year recurrence intervals and annual and seasonal 98-, 95-, 90-, 85-, and 80-percent duration flows.
The drainage basin of each gage was inspected for anthropogenic or karst features that could appreciably affect or regulate low flows. That inspection resulted in data from 53 of the 180 continuous-record gages and the 5 low-flow partial-record gages being categorized as “unregulated” and subsequently used in regression analyses to develop equations for estimating low-flow statistics. Two hundred and sixty potential explanatory variables were tested for this study. In most cases, a streamflow-variability index (SVI) was chosen as the sole explanatory variable for the regression analyses to predict the harmonic mean and annual and seasonal low-flow yields. The exceptions were for one of the September–November low-flow yield statistics and all the December–February yield statistics. Drainage area, decimal longitude, and usually SVI were chosen as the explanatory variables for those exceptions and to predict the 80-percent duration flows. The SVI values used in the model were estimated from a geospatial grid of SVI values developed for this study by using an empirical Bayesian kriging regression prediction. Observations for continuous-record gages used in the regression analyses were weighted as a function of their record length. Weights for partial-record gages were estimated based on the weights determined for their index gages.
Equations for low-flow yields were developed by using censored regressions with a censoring level of 0.00001 cubic foot per second per square mile. Numerical constraints were placed on the yield equations if they could compute yields less than the yield censoring level or if the yields did not monotonically decrease with increasing SVI. Logistic-regression equations were developed, with SVI and drainage area as explanatory variables, to estimate the probability that the low-flow statistics were greater than the flow censoring level (0.01 cubic foot per second).
The regression equations presented in this report were developed for implementation in the Ohio StreamStats application. The equations are applicable to unregulated streams in Ohio and are not applicable to streams with karst drainage features, diversions, regulation, or other anthropogenic activities that can appreciably affect low flow. The equations were developed by using observations with a range of SVI values from 0.41 to 1.23 log10 cubic foot per second and a range of drainage areas from 0.21 to 540 square miles. The applicability of the equations outside these ranges is not known.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245075","collaboration":"Prepared in cooperation with the Ohio Water Development Authority and the Ohio Environmental Protection Agency","usgsCitation":"VonIns, B.L., and Koltun, G.F., 2024, Low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020 (ver. 1.1, October 2024): U.S. Geological Survey Scientific Investigations Report 2024–5075, 37 p., https://doi.org/10.3133/sir20245075.","productDescription":"Report: v, 37 p.; Data Release: 2 Tables","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-155169","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":462619,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5075/coverthb2.jpg"},{"id":462944,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5075/sir20245075.pdf","text":"Report","size":"3.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5075 PDF"},{"id":497941,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117489.htm","linkFileType":{"id":5,"text":"html"}},{"id":462953,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92GD1WL","text":"USGS data release","linkHelpText":"Supporting data for low-flow statistics computed for streamflow gages and methods for estimating selected low-flow statistics for ungaged stream locations in Ohio, water years 1975–2020 (ver. 1.1, October 2024)"},{"id":462951,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5075/sir20245075_app2_table2.1.csv","text":"Appendix 2 Table 2.1","size":"4.54 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- CSV file"},{"id":462950,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5075/sir20245075_app2_table2.1.xlsx","text":"Appendix 2 Table 2.1","size":"24.1 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Table 2.1. 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\"}}]}","edition":"Version 1.0: September 2024; Version 1.1: October 2024","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Landslide susceptibility maps are fundamental tools for risk reduction, but the coarse resolution of current continental-scale models is insufficient for local application. Complex relations between topographic and environmental attributes characterizing landslide susceptibility at local scales are not transferrable across areas without landslide data. Existing maps with multiple susceptibility classifications under-represent landslide potential in moderate and gently sloping terrain. We leverage an extensive landslide database (N = 613,724), a high-resolution digital elevation model (10-m), and high-performance computing resources, to develop a new nationwide susceptibility map for the contiguous United States, Hawaii, Alaska, and Puerto Rico. We calculate four alternative linear and nonlinear thresholds of topographic slope and relief using an objective split-sample calibration. We down-sample our results to a 90-m grid to account for uncertainty in the digital elevation model and landslide position, and evaluate these thresholds' ability to differentiate areas of greater susceptibility. The less conservative nonlinear model optimally balances our priorities of capturing observed landslides (99%) while minimizing area covered by susceptible terrain (43%). Independent evaluation with four statewide landslide inventories (N = 172,367) reinforces our model selection but highlights spatially variable performance. Therefore, we propose a novel approach to susceptibility classification using the concentration of landslide-prone terrain within each down-sampled grid. While landslides are possible within any cells containing susceptible terrain, those with the highest concentration capture the majority of observed landslides. Our new map characterizes landside susceptibility more consistently than prior models; our transparent classification approach also provides flexibility for accommodating different tolerances in risk reduction measures.