As scientific understanding of barrier morphodynamics has improved, so has the ability to reproduce observed phenomena and predict future barrier states using mathematical models. To use existing models effectively and improve them, it is important to understand the current state of morphodynamic modeling and the progress that has been made in the field. This manuscript offers a review of the literature regarding advancements in morphodynamic modeling of coastal barrier systems and summarizes current modeling abilities and limitations. Broadly, this review covers both event-scale and long-term morphodynamics. Each of these sections begins with an overview of commonly modeled phenomena and processes, followed by a review of modeling developments. After summarizing the advancements toward the stated modeling goals, we identify research gaps and suggestions for future research under the broad categories of improving our abilities to acquire and access data, furthering our scientific understanding of relevant processes, and advancing our modeling frameworks and approaches.
The global COVID-19 pandemic resulted in many jurisdictions implementing orders restricting the movements of people to inhibit virus transmission, with recreational angling often either not permitted or access to fisheries and/or related infrastructure being prevented. Following the lifting of restrictions, initial angler surveys and licence sales suggested increased participation and effort, and altered angler demographics, but with evidence remaining limited. Here, we overcome this evidence gap by identifying temporal changes in angling interest, licence sales, and angling effort in world regions by comparing data in the ‘pre-pandemic’ (up to and including 2019); ‘acute pandemic’ (2020) and ‘COVID-acclimated’ (2021) periods. We then identified how changes can inform the development of more resilient and sustainable recreational fisheries. Interest in angling (measured here as angling-related internet search term volumes) increased substantially in all regions during 2020. Patterns in licence sales revealed marked increases in some countries during 2020 but not in others. Where licence sales increased, this was rarely sustained in 2021; where there were declines, these related to fewer tourist anglers due to movement restrictions. Data from most countries indicated a younger demographic of people who participated in angling in 2020, including in urban areas, but this was not sustained in 2021. These short-lived changes in recreational angling indicate efforts to retain younger anglers could increase overall participation levels, where efforts can target education in appropriate angling practices and create more urban angling opportunities. These efforts would then provide recreational fisheries with greater resilience to cope with future global crises, including facilitating the ability of people to access angling opportunities during periods of high societal stress.
Missing data are typical yet must be addressed for proper inferences or expanding datasets to guide our limnological understanding and management of aquatic systems. Interpolation methods (i.e., estimating missing values using known values within the dataset) can alleviate data gaps and common problems. We compared seven popular interpolation methods for predicting substantial missingness in a long-term water quality dataset from the Upper Mississippi River, U.S.A. The dataset included 80,000 sampling sites collected over 30 yr that had substantial missingness for total nitrogen (TN), total phosphorus (TP), and water velocity. For all three interpolated water quality variables, random forests had very high prediction accuracy and outperformed the methods of ordinary kriging, polynomial regressions, regression trees, and inverse distance weighting. TP had a mean absolute error (MAE) of 0.03 mg (L-TP)−1, TN had a MAE of 0.39 mg (L-TN)−1, and water velocity had a MAE of 0.10 m s−1. The random forests' error rates were mapped and showed low spatiotemporal variability across the riverscape, indicating high model performance across many habitat types and large spatial scales. In the current era of “big data,” interpolation becomes an imperative step prior to ecological analyses yet remains unfamiliar and underutilized. Our research briefly describes the importance of addressing missingness and provides a roadmap to conduct model intercomparisons of other big datasets. We also share adaptable data analysis scripts, which allows others to readily conduct interpolation comparisons for many limnology applications and contexts.
Satellite-derived shoreline observations combined with dynamic shoreline models enable fine-scale predictions of coastal change across large spatiotemporal scales. Here, we present a satellite-data-assimilated, “littoral-cell”-based, ensemble Kalman-filter shoreline model to predict coastal change and uncertainty due to waves, sea-level rise (SLR), and other natural and anthropogenic processes. We apply the developed ensemble model to the entire California coastline (approximately 1,760 km), much of which is sparsely monitored with traditional survey methods (e.g., Lidar/GPS). Water-level-corrected, satellite-derived shoreline observations (obtained from the CoastSat toolbox) offer a nearly unbiased representation of in situ surveyed shorelines (e.g., mean sea-level elevation contours) at Ocean Beach, San Francisco. We demonstrate that model calibration with satellite observations during a 20-year hindcast period (1995–2015) provides nearly equivalent model forecast accuracy during a validation period (2015–2020) compared to model calibration with monthly in situ observations at Ocean Beach. When comparing model-predicted shoreline positions to satellite-derived observations, the model achieves an accuracy of <10 m RMSE for nearly half of the entire California coastline for the validation period. The calibrated/validated model is then applied for multi-decadal simulations of shoreline change due to projected wave and sea-level conditions, while holding the model parameters fixed. By 2100, the model estimates that 24%–75% of California's beaches may become completely eroded due to SLR scenarios of 1.0–3.0 m, respectively. The satellite-data-assimilated modeling system presented here is generally applicable to a variety of coastal settings around the world owing to the global coverage of satellite imagery.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JF006936","usgsCitation":"Vitousek, S., Vos, K., Splinter, K., Erikson, L.H., and Barnard, P.L., 2023, A model integrating satellite-derived shoreline observations for predicting fine-scale shoreline response to waves and sea-level rise across large coastal regions: JGR Earth Surface, v. 128, no. 7, e2022JF006936, 47 p., https://doi.org/10.1029/2022JF006936.","productDescription":"e2022JF006936, 47 p.","ipdsId":"IP-146968","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443298,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jf006936","text":"Publisher Index Page"},{"id":435306,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95T9188","text":"USGS data release","linkHelpText":"CoSMoS-COAST: The Coastal, One-line, Assimilated, Simulation Tool of the Coastal Storm Modeling System"},{"id":435305,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CJMB2H","text":"USGS data release","linkHelpText":"Projections of shoreline change for California due to 21st century sea-level rise"},{"id":419397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian","contributorId":317755,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":879266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Splinter, Kristen D.","contributorId":317757,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen D.","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":879267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879269,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255964,"text":"70255964 - 2023 - Where can managers effectively resist climate-driven ecological transformation in pinyon-juniper woodlands of the US Southwest?","interactions":[],"lastModifiedDate":"2024-07-11T14:40:19.188577","indexId":"70255964","displayToPublicDate":"2023-05-29T09:36:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Where can managers effectively resist climate-driven ecological transformation in pinyon-juniper woodlands of the US Southwest?","docAbstract":"Pinyon–juniper (PJ) woodlands are an important component of dryland ecosystems across the US West and are potentially susceptible to ecological transformation. However, predicting woodland futures is complicated by species-specific strategies for persisting and reproducing under drought conditions, uncertainty in future climate, and limitations to inferring demographic rates from forest inventory data. Here, we leverage new demographic models to quantify how climate change is expected to alter population demographics in five PJ tree species in the US West and place our results in the context of a climate adaptation framework to resist, accept, or direct ecological transformation. Two of five study species, Pinus edulis and Juniperus monosperma, are projected to experience population declines, driven by both rising mortality and decreasing recruitment rates. These declines are reasonably consistent across various climate futures, and the magnitude of uncertainty in population growth due to future climate is less than uncertainty due to how demographic rates will respond to changing climate. We assess the effectiveness of management to reduce tree density and mitigate competition, and use the results to classify southwest woodlands into areas where transformation is (a) unlikely and can be passively resisted, (b) likely but may be resisted by active management, and (c) likely unavoidable, requiring managers to accept or direct the trajectory. Population declines are projected to promote ecological transformation in the warmer and drier PJ communities of the southwest, encompassing 37.1%–81.1% of our sites, depending on future climate scenarios. Less than 20% of sites expected to transform away from PJ have potential to retain existing tree composition by density reduction. Our results inform where this adaptation strategy could successfully resist ecological transformation in coming decades and allow for a portfolio design approach across the geographic range of PJ woodlands.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16756","usgsCitation":"Noel, A.R., Shriver, R., Crausbay, S.D., and Bradford, J., 2023, Where can managers effectively resist climate-driven ecological transformation in pinyon-juniper woodlands of the US Southwest?: Global Change Biology, v. 29, no. 15, p. 4327-4341, https://doi.org/10.1111/gcb.16756.","productDescription":"15 p.","startPage":"4327","endPage":"4341","ipdsId":"IP-148367","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16756","text":"Publisher Index Page"},{"id":430964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, 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\"}}]}","volume":"29","issue":"15","noUsgsAuthors":false,"publicationDate":"2023-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shriver, Robert K.","contributorId":297511,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert K.","affiliations":[{"id":64419,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno; Ecology, Evolution, and Conservation Biology Graduate Program, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":906156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crausbay, Shelley D.","contributorId":197220,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","email":"","middleInitial":"D.","affiliations":[{"id":54831,"text":"Conservation Science Partners, Inc","active":true,"usgs":false}],"preferred":false,"id":906157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906158,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243990,"text":"70243990 - 2023 - The EnMAP imaging spectroscopy mission towards 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Equipped with a prism-based dual-spectrometer, EnMAP performs observations in the spectral range between 418.2 nm and 2445.5 nm with 224 bands and a high radiometric and spectral accuracy and stability. EnMAP products, with a ground instantaneous field-of-view of 30 m x 30 m at a swath width of 30 km, allow for the qualitative and quantitative analysis of surface variables from frequently and consistently acquired observations on a global scale. This article presents the EnMAP mission and details the activities and results of the Launch and Early Orbit and Commissioning Phases until November 1st, 2022. The mission capabilities and expected performances for the operational Routine Phase are provided for existing and future EnMAP users.
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In Lake Ontario, cisco and lake whitefish exhibit similar spawning behaviours and early life histories, but population trajectories are diverging. One hypothesis is that sympatric cisco and lake whitefish larvae occupy distinct habitats and experience dissimilar local environmental conditions, despite co-occurrence within nursery areas. We described the spatiotemporal distributions of larval cisco and lake whitefish among multiple Lake Ontario embayment nursery areas, characterised physical habitat features associated with their distributions, determined the degree of spatial habitat partitioning between species and evaluated how habitat niche divergence occurred along an ontogenetic progression. Both species were widely distributed across larval nursery areas, though lake whitefish were less abundant and more narrowly distributed than cisco. Within the yolk sac stage, lake whitefish occupied more nearshore, shallower and colder waters than cisco, indicating potential habitat niche partitioning between congeners. However, distributional differences were subtle and likely driven by differential hatch timing and staggered ontogenetic habitat shifts. Combined, our results illustrate similar habitat use between cisco and lake whitefish through the larval stage and demonstrate that ontogeny and species-specific phenology influence habitat use for these species. This study provides additional evidence that the early life histories of cisco and lake whitefish are highly similar and does not support the hypothesis that larval habitat use differences are a major driver of differential recruitment success for these species.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12722","usgsCitation":"Brown, T.A., Rudstam, L.G., Holden, J.P., Weidel, B., Ackiss, A.S., Ropp, A.J., Chalupnicki, M., McKenna, J.E., and Sethi, S.A., 2023, Larval cisco and lake whitefish exhibit high distributional overlap within nursery areas: Ecology of Freshwater Fish, v. 32, no. 4, p. 804-823, https://doi.org/10.1111/eff.12722.","productDescription":"20 p.","startPage":"804","endPage":"823","ipdsId":"IP-147733","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":417573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.46700160238971,\n 44.090691428575184\n ],\n [\n -76.46700160238971,\n 43.75820688635059\n ],\n [\n -76.0342306554815,\n 43.75820688635059\n ],\n [\n -76.0342306554815,\n 44.090691428575184\n ],\n [\n -76.46700160238971,\n 44.090691428575184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Taylor A. 0000-0003-0984-5512","orcid":"https://orcid.org/0000-0003-0984-5512","contributorId":305949,"corporation":false,"usgs":false,"family":"Brown","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":874149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":874150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":874151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ropp, Ann J. 0000-0002-7934-6471","orcid":"https://orcid.org/0000-0002-7934-6471","contributorId":305950,"corporation":false,"usgs":true,"family":"Ropp","given":"Ann","email":"","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874154,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874155,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":874156,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sethi, Suresh A. 0000-0002-0053-1827","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":296987,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A.","affiliations":[{"id":64271,"text":"U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit, Ithaca, New York 14853","active":true,"usgs":false}],"preferred":false,"id":874157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70244024,"text":"70244024 - 2023 - Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement","interactions":[],"lastModifiedDate":"2023-12-20T17:45:16.768153","indexId":"70244024","displayToPublicDate":"2023-05-29T08:15:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10956,"text":"Journal of the American Water Resource Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement","docAbstract":"Water is vital to human life and healthy ecosystems. Here we outline the current state of national-scale water resources trend assessments, identify key gaps, and suggest advancements to better address critical issues related to changes in water resources that may threaten human development or the environment. Questions like, “Do we have less suitable drinking water now than we had 20 years ago?” or “Are flood events more common now than they were in the past?” prompted improvements in data, trend estimation methods, and modeling frameworks to track changes in, and better understand how land use and climate influence four water resources domains: surface and groundwater quantity and quality. However, continued advancement in trend assessments to better address issues related to changes in water availability is needed. Areas of need include more timely and efficient delivery of water resources trend results and improved capacity to estimate trends at unmonitored locations. Additional integration pieces include increased understanding of groundwater–surface water interactions, incorporation of both quantity and quality trends into water availability estimates, and the refinement of trend metrics to account for the competing needs of society and ecological integrity. Coupled with improved driver attribution studies, these components will better inform current and future water resources management.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13137","usgsCitation":"Stackpoole, S.M., Oelsner, G.P., Stets, E.G., Hecht, J.S., Johnson, Z., Tesoriero, A.J., Walvoord, M.A., Chanat, J.G., Dunne, K., Goodling, P.J., Lindsey, B.D., Meador, M.R., and Spaulding, S., 2023, Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement: Journal of the American Water Resource Association (JAWRA), v. 59, no. 6, p. 1181-1197, https://doi.org/10.1111/1752-1688.13137.","productDescription":"17 p.","startPage":"1181","endPage":"1197","ipdsId":"IP-145969","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":443310,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13137","text":"Publisher Index Page"},{"id":417572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":874180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - 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Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":874190,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":874191,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":874192,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70245127,"text":"70245127 - 2023 - Linking ecosystem processes to consumer growth rates: Gross primary productivity as a driver of freshwater fish somatic growth in a resource-limited river","interactions":[],"lastModifiedDate":"2023-09-06T16:13:42.515711","indexId":"70245127","displayToPublicDate":"2023-05-29T06:52:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Linking ecosystem processes to consumer growth rates: Gross primary productivity as a driver of freshwater fish somatic growth in a resource-limited river","docAbstract":"Habitat conversion to agriculture and overexploitation of wildlife are the two largest drivers of biodiversity loss globally. Biodiversity loss is especially prevalent in areas undergoing rapid economic development at the expense of natural land cover as is the case across much of South America. Despite expected declines in wildlife populations associated with ongoing large-scale land conversions, for many species we lack sufficient data on key threats and drivers of abundance in order to inform appropriate management and conservation. Collecting data to estimate critical state variables such as abundance can be expensive, logistically challenging, and even implausible on spatial scales relevant to species management, especially for carnivores which are elusive and difficult to monitor. Here, we use detection-non-detection data collected using a structured camera trap survey repeated over two years in the Ecuadorian Andes to produce insights into the habitat associations and potential threats faced by the tayra, a medium-sized carnivore that despite being perceived to be relatively common in South America, remains largely understudied. We use hierarchical modelling to estimate an index of abundance for the tayra while accounting for imperfect detection. We demonstrate the tayra to be a lowland habitat generalist, with conversion of land to agriculture potentially benefitting this species in the short term, with increasing proportion of core agricultural land being associated with higher indices of abundance. However, we highlight that this state could potentially serve as an ecological trap in the long term. We provide evidence for negative impacts of human population density on tayra abundance. We hypothesize this relationship could be underpinned by conflict and subsequent persecution by humans, which is likely to be exacerbated in agricultural landscapes. These findings suggest that like many carnivores, the tayra may be able to adapt and even thrive in human modified landscapes given societal acceptance, thus, conservation strategies for the tayra that focus on fostering co-existence between humans and this medium-sized carnivore may contribute to its future.
The Samoan swallowtail butterfly (Papilio godeffroyi) has become restricted to Tutuila Island, American Samoa. Factors driving its extirpation on other islands may be partly due to the availability and suitability of habitat, given the singular association we observed of P. godeffroyi with its host plant, Micromelum minutum. We expected that as a host plant specialist, P. godeffroyi might respond to variation in the physical traits and habitat context of M. minutum, which could help identify conservation opportunities throughout its present and former range. Because the ecology of P. godeffroyi is largely unknown, we conducted systematic surveys during 15 months in 2013 and 2014 on Tutuila to investigate its reproductive response to the physical and phenological variability of individual host trees and to the structural and geographical variability of the stands in which they occurred. We searched foliage for eggs, larvae, and pupae and monitored seasonal trends in herbivory and production of leaves, flowers, and fruits on 117 host trees in 8 rainforest stands, mostly within the National Park of American Samoa (NPSA), starting in March 2013 and ending in August 2014. We observed high variability in butterfly reproductive output between individual trees and stands, due largely to a strong negative relationship between leaf biomass (at both tree and stand levels) and oviposition density (number of eggs per foliar biomass) and frequency (number of eggs per survey). Distribution patterns of larvae and pupae were less distinct but generally followed trends in oviposition. Our findings indicate that the butterfly is reproducing widely across Tutuila and is likely to respond positively to management to increase the availability of small host trees in low-density stands. Thus, the species is a good candidate for conservation management focusing on habitat.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4493","usgsCitation":"Banko, P.C., Peck, R., Schmaedick, M.A., Miles, A.C., Leifi, N., and Brinck, K., 2023, Reproductive response of the Samoan swallowtail butterfly to variability in host plant and habitat characteristics: Ecosphere, v. 14, no. 5, e4493, 19 p., https://doi.org/10.1002/ecs2.4493.","productDescription":"e4493, 19 p.","ipdsId":"IP-080106","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":443317,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4493","text":"Publisher Index Page"},{"id":435308,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A6CXQX","text":"USGS data release","linkHelpText":"Samoan swallowtail butterfly reproductive response to host plant characteristics, 2013-2014 (ver. 2.0, July 2024)"},{"id":419246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"American Samoa","otherGeospatial":"Tutuila Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.5539329643324,\n -14.219499299008987\n ],\n [\n -170.85165987580365,\n -14.219499299008987\n ],\n [\n -170.85165987580365,\n -14.382442239981614\n ],\n [\n -170.5539329643324,\n -14.382442239981614\n ],\n [\n -170.5539329643324,\n -14.219499299008987\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":878864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":878865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmaedick, Mark A.","contributorId":167127,"corporation":false,"usgs":false,"family":"Schmaedick","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":24622,"text":"Division of Community and Natural Resources, American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":878866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Adam C.","contributorId":139982,"corporation":false,"usgs":false,"family":"Miles","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":878867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leifi, Niela","contributorId":317262,"corporation":false,"usgs":false,"family":"Leifi","given":"Niela","email":"","affiliations":[{"id":13353,"text":"American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":878868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":878869,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248791,"text":"70248791 - 2023 - Report of the Science Community Workshop on the proposed First Sample Depot for the Mars Sample Return Campaign","interactions":[],"lastModifiedDate":"2023-09-21T13:16:42.368533","indexId":"70248791","displayToPublicDate":"2023-05-28T08:12:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Report of the Science Community Workshop on the proposed First Sample Depot for the Mars Sample Return Campaign","docAbstract":"The Mars 2020/Mars Sample Return (MSR) Sample Depot Science Community Workshop was held on September 28 and 30, 2022, to assess the Scientifically-Return Worthy (SRW) value of the full collection of samples acquired by the rover Perseverance at Jezero Crater, and of a proposed subset of samples to be left as a First Depot at a location within Jezero Crater called Three Forks. The primary outcome of the workshop was that the community is in consensus on the following statement: The proposed set of ten sample tubes that includes seven rock samples, one regolith sample, one atmospheric sample, and one witness tube constitutes a SRW collection that: (1) represents the diversity of the explored region around the landing site, (2) covers partially or fully, in a balanced way, all of the International MSR Objectives and Samples Team scientific objectives that are applicable to Jezero Crater, and (3) the analyses of samples in this First Depot on Earth would be of fundamental importance, providing a substantial improvement in our understanding of Mars. At the conclusion of the meeting, there was overall community support for forming the First Depot as described at the workshop and placing it at the Three Forks site. The community also recognized that the diversity of the Rover Cache (the sample collection that remains on the rover after placing the First Depot) will significantly improve with the samples that are planned to be obtained in the future by the Perseverance rover and that the Rover Cache is the primary target for MSR to return to Earth.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.13981","usgsCitation":"Czaja, A.D., Zorzano Mier, M., Kminek, G., Meyer, M., Beaty, D., Sefton-Nash, E., Carrier, B., Thiessen, F., Haltigin, T., Bouvier, A., Dauphas, N., French, K.L., Hallis, L., Harris, R., Hauber, E., Rodriguez, L., Schwenzer, S.P., Steele, A., Tait, K., Thorpe, M.T., Usui, T., Vanhomwegen, J., Velbel, M., Edwin, S., Farley, K.A., Glavin, D., Harrington, A., Hays, L., Hutzler, A., and Wadhwa, M., 2023, Report of the Science Community Workshop on the proposed First Sample Depot for the Mars Sample Return Campaign: Meteoritics and Planetary Science, v. 58, no. 6, p. 885-896, https://doi.org/10.1111/maps.13981.","productDescription":"12 p.","startPage":"885","endPage":"896","ipdsId":"IP-148839","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":443321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.13981","text":"Publisher Index Page"},{"id":421021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Czaja, Andrew D.","contributorId":289944,"corporation":false,"usgs":false,"family":"Czaja","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":62295,"text":"Univ. 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USA","interactions":[],"lastModifiedDate":"2023-06-28T15:25:12.948847","indexId":"70244063","displayToPublicDate":"2023-05-27T08:23:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2088,"text":"International Review of Hydrobiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","title":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","docAbstract":"The Asian clam, Corbicula fluminea, is an invasive freshwater bivalve that has established populations across the globe and is known to have deleterious effects on natural and human systems. Yet, despite being present in the Columbia River (CR) for nearly a century, little is known about this invader's basic biology and ecology in this large river system. Thus, we undertook a field study to assess its i) broadscale distribution and abundance, and ii) associations with habitat characteristics in the lower CR. During 2019-20, C. fluminea were collected from 27 shore-based stations spanning 481 river kilometers of the lower CR, along with several habitat characteristics (bank slope, temperature, dissolved oxygen, pH, salinity, conductivity, chlorophyll-a concentration, and sediment composition and % organic matter). C. fluminea abundance ranged from 0-430 ind. m-2. Most sites with abundances >100 ind. m-2 were located downstream of Bonneville Dam, while most sites with abundances < 100 ind. m-2 were located upstream. Generalized linear models predicting the abundance of C. fluminea indicated significantly positive correlations with water temperature and % sand, and negative correlations with bank slope and sedimentary % organic matter. We also reviewed the global literature on abundance and habitat associations of C. fluminea and compared this with our own results. Our investigation represents the greatest spatial extent at which C. fluminea has been studied in the CR and our results provide a better understanding of the basic biology and ecology of this global invader, as well as provide natural resource managers with information on habitat conditions favorable for this invasive bivalve within temperate river ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/iroh.202202134","usgsCitation":"Robb-Chavez, S.B., Bollens, S.M., Rollwagen-Bollens, G., and Counihan, T., 2023, Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA: International Review of Hydrobiology, v. 107, no. 5-6, p. 179-195, https://doi.org/10.1002/iroh.202202134.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-144215","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443323,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1002/iroh.202202134","text":"Publisher Index Page"},{"id":417644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"lower Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.68681416397084,\n 46.425452015025826\n ],\n [\n -123.89557364633748,\n 46.425452015025826\n ],\n [\n -123.89557364633748,\n 45.394726212253744\n ],\n [\n -118.68681416397084,\n 45.394726212253744\n ],\n [\n -118.68681416397084,\n 46.425452015025826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"107","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Robb-Chavez, Salvador B.","contributorId":261391,"corporation":false,"usgs":false,"family":"Robb-Chavez","given":"Salvador","email":"","middleInitial":"B.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":874362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":874363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":874364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243994,"text":"70243994 - 2023 - Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","interactions":[],"lastModifiedDate":"2023-07-11T16:07:02.8137","indexId":"70243994","displayToPublicDate":"2023-05-27T07:04:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","docAbstract":"Alluvial plain landscapes are some of the most agriculturally productive lands in the world but often have modified stream ecosystems due to cultivation history. This context requires consideration when establishing water quality management goals. We analyzed state water quality databases to demonstrate that Mississippi Alluvial Plain (MAP) ecoregion streams have elevated specific conductivity (SC) and nutrients and lower macroinvertebrate local and regional taxa pools compared to streams in other ecoregions, potentially reducing the efficacy of traditional biomonitoring approaches within the region. To overcome these challenges, we used threshold indicator taxa analysis (TITAN) to compare macroinvertebrate assemblage responses to water quality gradients among ecoregions in Mississippi. We identified individual taxa and assemblage-level responses to increasing water quality degradation in MAP streams. Observed responses occurred at higher concentrations for SC, total organic carbon (TOC) and total phosphorus (TP), but not total nitrogen (TN) relative to other ecoregions. These responses appeared to be driven by a large proportion of indicator taxa considered tolerant or unresponsive in other ecoregions, responding negatively to increasing water quality stressors in MAP streams. Our observed assemblage-level stressor responses to WQ gradients in MAP streams demonstrate shifting tolerance in highly altered ecosystems may require adjustments to recovery expectations but also provide useful measures for monitoring improvements in regional water quality. For example, our observed macroinvertebrate assemblage response to increasing TP identified a management goal similar to guidance based on distributional analysis of water quality data within the MAP ecoregion (0.11 vs 0.128 mg L−1) and thus provide some biological basis for previously identified nutrient goals for the region. Our approach can guide and monitor success of nutrient reduction efforts in MAP watersheds and other alluvial plain agroecosystems where reference conditions do not exist, and local and regional taxa pools are less diverse and may not support full recovery of ecological assemblages. While our results are promising, they should also be compared with more sensitive and less habitat-limited biological assemblages (e.g., algae or bacteria) to better understand complex ecological responses to best management practices designed to increase sustainability of high production agricultural regions.
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\"}}]}","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Jason M.","contributorId":212809,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":38685,"text":"USDA, ARS Sedimentation Lab","active":true,"usgs":false}],"preferred":false,"id":877317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeVilbiss, Stephen E.","contributorId":316291,"corporation":false,"usgs":false,"family":"DeVilbiss","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":877318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70244169,"text":"70244169 - 2023 - When are environmental DNA early detections of invasive species actionable?","interactions":[],"lastModifiedDate":"2023-06-06T11:45:06.863039","indexId":"70244169","displayToPublicDate":"2023-05-27T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"When are environmental DNA early detections of invasive species actionable?","docAbstract":"Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate appropriate response actions to hypothetical eDNA early detections of an introduced aquatic plant in Sebago Lake (Maine, USA). The results were juxtaposed to a recent study that used a similar SDM approach to evaluate response actions to hypothetical eDNA early detections of introduced mussels in Jordanelle Reservoir (Utah, USA). We found that eDNA early detections were not actionable in Sebago Lake because the plant's invasion potential was spatially constrained and the current management activities provided acceptable levels of mitigation. In Jordanelle Reservoir, eDNA detections were actionable due to high invasion potential and analyses supported management actions to contain the invasion. The divergent outcomes of the two case studies are related to the unique attributes of the habitats and species, highlighting the utility of the SDM approach when considering an eDNA monitoring program. We use these two case studies to present a general SDM framework and a set of heuristics that can be efficiently applied to eDNA early detection rapid response scenarios and other instances associated with indeterminant eDNA detections, especially when there is an imperative to make decisions as quickly as possible.
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 7.3 billion barrels of oil and 463.7 trillion cubic feet of gas within the Barents Sea area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20233019","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Ellis, G.S., Finn, T.M., Le, P.A., Marra, K.R., Leathers-Miller, H.M., and Drake, R.M., II, 2023, Assessment of undiscovered conventional oil and gas resources of the Barents Sea area, 2021: U.S. Geological Survey Fact Sheet 2023–3019, 2 p., https://doi.org/10.3133/fs20233019.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-133737","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":417394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3019/coverthb.jpg"},{"id":417396,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L0W7ST","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Barents Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":417395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3019/fs20233019.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3019"},{"id":417518,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20233019/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3019"},{"id":417517,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3019/fs20233019.xml"},{"id":417516,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3019/images"}],"country":"Norway, Russia","otherGeospatial":"Barents Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 4.550542070460438,\n 79.47846463932942\n ],\n [\n 4.550542070460438,\n 68.68292262514223\n ],\n [\n 70.64781874733308,\n 68.68292262514223\n ],\n [\n 70.64781874733308,\n 79.47846463932942\n ],\n [\n 4.550542070460438,\n 79.47846463932942\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and in situ rain gauge observations to determine a suitable precipitation dataset in the Middle East & North Africa (MENA) region. First, we evaluated seven different precipitation products using rain gauge observations. The validation was conducted at the daily, monthly, and annual time scales. Results indicated a weaker correlation between in situ rain gauge observation and satellite precipitation data at the daily time step (r: 0.02 to 0.44), mainly due to the lack of range in precipitation distribution. However, the agreement between precipitation estimates and in situ gauge observations improved at monthly (r: 0.02 to 0.66) and annual time scales (r: −0.22 to 0.57), indicating greater reliability of satellite-based precipitation at monthly and annual time scales. Based on the results and dataset availability, the Multi-Source Weighted-Ensemble Precipitation (MSWEP) was deemed suitable to create a bias-corrected new precipitation dataset for the MENA region. This study highlights the benefits of an adjusted regional precipitation product for hydrologic applications in the MENA region, such as streamflow or runoff estimation, to improve the reliability of the model outputs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2023.105010","usgsCitation":"Kagone, S., Velpuri, N., Khand, K., Senay, G.B., Van der Valk, M.R., Goode, D.J., Hantash, S.A., Al-Momani, T.M., Momejian, N., and Eggleston, J., 2023, Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region: Journal of Arid Environments, v. 215, 105010, 14 p., https://doi.org/10.1016/j.jaridenv.2023.105010.","productDescription":"105010, 14 p.","ipdsId":"IP-126383","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":443334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2023.105010","text":"Publisher Index Page"},{"id":417535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jordan, Lebanon","otherGeospatial":"West Bank","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 39.30649160058408,\n 35.36856869578705\n ],\n [\n 32.084784344491425,\n 35.36856869578705\n ],\n [\n 32.084784344491425,\n 28.71772323486526\n ],\n [\n 39.30649160058408,\n 28.71772323486526\n ],\n [\n 39.30649160058408,\n 35.36856869578705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"215","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":873972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":222983,"corporation":false,"usgs":false,"family":"Velpuri","given":"Naga Manohar","affiliations":[{"id":40633,"text":"CIGAR","active":true,"usgs":false}],"preferred":false,"id":873973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":873974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":873975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van der Valk, Michael R.","contributorId":305834,"corporation":false,"usgs":false,"family":"Van der Valk","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":66311,"text":"HYDROLOGY.NL","active":true,"usgs":false}],"preferred":false,"id":873976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":216750,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hantash, Salam Abu","contributorId":305835,"corporation":false,"usgs":false,"family":"Hantash","given":"Salam","email":"","middleInitial":"Abu","affiliations":[{"id":66313,"text":"Palestinian Water Authority, West Bank","active":true,"usgs":false}],"preferred":false,"id":873978,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Al-Momani, Thair M.","contributorId":305836,"corporation":false,"usgs":false,"family":"Al-Momani","given":"Thair","email":"","middleInitial":"M.","affiliations":[{"id":66314,"text":"Ministry of Water and Irrigation, Amman, Jordan","active":true,"usgs":false}],"preferred":false,"id":873979,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Momejian, Nanor","contributorId":305837,"corporation":false,"usgs":false,"family":"Momejian","given":"Nanor","email":"","affiliations":[{"id":66315,"text":"Queens University, Kingston, Canada","active":true,"usgs":false}],"preferred":false,"id":873980,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eggleston, Jack R. 0000-0001-6633-3041","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":204628,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack R.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873981,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70243976,"text":"70243976 - 2023 - Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","interactions":[],"lastModifiedDate":"2023-05-30T14:29:28.876741","indexId":"70243976","displayToPublicDate":"2023-05-26T09:27:00","publicationYear":"2023","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":"Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","docAbstract":"Dung beetles (Coleoptera: Scarabaeinae) frequently traverse agricultural matrices in search of ephemeral dung resources and spend extended periods of time burrowing in soil. Neonicotinoids are among the most heavily applied and widely detected insecticides used in conventional agriculture with formulated products designed for row crop and livestock pest suppression. Here, we determined the comparative toxicity of two neonicotinoids (imidacloprid and thiamethoxam) on dung beetles, Canthon spp., under two exposure profiles: direct topical application (acute) and sustained contact with treated-soil (chronic). Imidacloprid was significantly more toxic than thiamethoxam under each exposure scenario. Topical application LD50 values (95% CI) for imidacloprid and thiamethoxam were 19.1 (14.5–25.3) and 378.9 (200.3–716.5) ng/beetle, respectively. After the 10-day soil exposure, the measured percent mortality in the 3 and 9 µg/kg nominal imidacloprid treatments was 35 ± 7% and 39 ± 6%, respectively. Observed mortality in the 9 µg/kg imidacloprid treatment was significantly greater than the control (p = 0.04); however, the 3 µg/kg imidacloprid dose response may be biologically relevant (p = 0.07). Thiamethoxam treatments had similar mortality as the controls (p > 0.8). Environmentally relevant concentrations of imidacloprid measured in airborne particulate matter and non-target soils pose a potential risk to coprophagous scarabs.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-35262-w","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Hittson, S., Middleton, G., and Hoback, W.W., 2023, Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles: Scientific Reports, v. 13, 8537, 10 p., https://doi.org/10.1038/s41598-023-35262-w.","productDescription":"8537, 10 p.","ipdsId":"IP-151364","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":443337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-35262-w","text":"Publisher Index Page"},{"id":417529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":296789,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":64177,"text":"Bullhead City Pest Abatement District","active":true,"usgs":false}],"preferred":false,"id":873983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hittson, Samantha","contributorId":305839,"corporation":false,"usgs":false,"family":"Hittson","given":"Samantha","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Greg","contributorId":305840,"corporation":false,"usgs":false,"family":"Middleton","given":"Greg","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248047,"text":"70248047 - 2023 - The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas","interactions":[],"lastModifiedDate":"2023-09-06T16:38:53.2077","indexId":"70248047","displayToPublicDate":"2023-05-26T07:31:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas","docAbstract":"The Buffalo National River in northwest Arkansas preserves an extensive Quaternary record of fluvial bedrock incision and aggradation across lithologies of variable resistance. In this work, we apply optically stimulated luminescence (OSL) dating to strath and fill terraces along the Buffalo River to elucidate the role of lithology and climate on the development of the two youngest terrace units (Qtm and Qty). Our OSL ages suggest a minimum strath planation age of ~250 ka for the Qtm terraces followed by a ~200 ka record of aggradation. Qtm incision likely occurred near the LGM, prior to the onset of Qty fill terrace aggradation ~14 ka. Our terrace ages are broadly consistent with other regional fluvial terrace records, and comparison with available paleoclimatic archives suggests that terrace aggradation and incision occurred during drier and wetter hydrological conditions, respectively. Vertical bedrock incision rates were also calculated using OSL-derived estimates of Qtm strath planation and displayed statistically significant spatial variability with bedrock lithology, ranging from 0.04 mm/yr in the higher resistance reaches and 0.02 mm/yr in the lower resistance reaches. In combination with observations of valley width and terrace distribution, these results suggest that vertical processes outpace lateral ones in lithologic reaches with higher resistance.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2023.16","usgsCitation":"Rodrigues, K., Keen-Zebert, A., Shepherd, S., Hudson, M., Bitting, C.J., Johnson, B.G., and Langston, A., 2023, The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas: Quaternary Research, v. 115, p. 179-193, https://doi.org/10.1017/qua.2023.16.","productDescription":"15 p.","startPage":"179","endPage":"193","ipdsId":"IP-145049","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":420405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.45540310278096,\n 36.28717197002243\n ],\n [\n -93.45540310278096,\n 35.819482639248236\n ],\n [\n -92.25296917676606,\n 35.819482639248236\n ],\n [\n -92.25296917676606,\n 36.28717197002243\n ],\n [\n -93.45540310278096,\n 36.28717197002243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodrigues, Kathleen","contributorId":298832,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Kathleen","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":881630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keen-Zebert, Amanda","contributorId":224228,"corporation":false,"usgs":false,"family":"Keen-Zebert","given":"Amanda","email":"","affiliations":[{"id":40841,"text":"University of Nevada Reno / Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":881631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepherd, Stephanie","contributorId":328899,"corporation":false,"usgs":false,"family":"Shepherd","given":"Stephanie","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":881632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":881633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bitting, Charles J.","contributorId":199024,"corporation":false,"usgs":false,"family":"Bitting","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":881634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Bradley G.","contributorId":328901,"corporation":false,"usgs":false,"family":"Johnson","given":"Bradley","email":"","middleInitial":"G.","affiliations":[{"id":78522,"text":"Davidson College","active":true,"usgs":false}],"preferred":false,"id":881635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Langston, Abigail","contributorId":328902,"corporation":false,"usgs":false,"family":"Langston","given":"Abigail","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":881636,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70260121,"text":"70260121 - 2023 - Operationalizing crop model data assimilation for improved on-farm situational awareness","interactions":[],"lastModifiedDate":"2024-10-29T12:16:04.993327","indexId":"70260121","displayToPublicDate":"2023-05-26T07:12:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing crop model data assimilation for improved on-farm situational awareness","docAbstract":"Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.
Mineral resource assessments performed by the U.S. Geological Survey provide a synthesis of available information about the location of known and suspected mineral deposits. This study focuses on skarn-hosted tungsten resources in the northern Rocky Mountain region of east-central Idaho and western Montana which have seen moderate tungsten trioxide production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The area’s geology is dominated by large Cretaceous and Tertiary plutons that are emplaced into a belt of Mesoproterozoic to Permian sedimentary rock and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten skarn mineral sites are associated with contacts between Cretaceous plutons and calcareous and argillaceous sedimentary or metasedimentary rocks, including two skarn deposits in Montana (Calvert and Browns Lake) that are consistent with an updated grade and tonnage model.
This study (1) delineates permissive tracts where undiscovered tungsten skarn deposits may occur within 1 kilometer of the surface; (2) presents a tungsten mineral site dataset from a variety of public sources; (3) evaluates currently available geochemical, geophysical, and radiometric age data in support of tract delineation; (4) provides probabilistic estimates of the amount of tungsten and tungsten-mineralized rock that could be contained in undiscovered deposits within one major tract; (5) estimates the value of total undiscovered deposits using economic filter analysis; and (6) provides a synthesis of metallogenic controls on regional tungsten skarn and granitoid-related mineral deposits.
Two permissive tracts were delineated: the Great Falls tectonic zone (GFTZ)-Cretaceous tract, for which a quantitative assessment was performed, and the Bitterroot tract, which was assessed in a qualitative manner. The quantitative three-part assessment, conducted in August 2019, indicates that undiscovered tungsten resources might exist in skarn-type deposits within the study area. Using a negative binomial function, a mean of 4 undiscovered deposits was calculated from panel estimates. Simulation results that combine an updated grade and tonnage model with estimates of undiscovered deposits include the amounts of ore and contained tungsten trioxide at different levels of uncertainty. A mean of 250,000 metric tons and median of 200,000 metric tons contained tungsten trioxide was calculated for the undiscovered deposits within the GFTZ-Cretaceous tract. The value of undiscovered deposits was estimated using a new economic filter that considers factors such as mine type, deposit depth, deposit geometry, metallurgical recovery rate, cutoff grade, and tract area.
A review of the regional Archean to Paleogene geology suggests that ore metal (copper, molybdenum, and tungsten) variations in intrusion-related deposits of Montana and Idaho may be controlled by a number of factors including the age and composition of underlying basement terranes, depth of emplacement, pluton chemistry and degree of fractionation, redox conditions, and aqueous fluid-melt partition coefficients.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235012","programNote":"Mineral Resources Program","usgsCitation":"Andersen, A.K., Goldman, M.A., Bennett, M.M., Dicken, C.L., Brown, P.J., and Parks, H.L., 2023, Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources: U.S. Geological Survey Scientific Investigations Report 2023-5012, 87 p., https://doi.org/10.3133/sir20235012.","productDescription":"Report: viii, 87 p.; Data Release","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-122167","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500706,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114742.htm","linkFileType":{"id":5,"text":"html"}},{"id":417441,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9094RVV","text":"Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho","description":"Goldman, M.A., Dicken, C.L., Brown, P.J., Andersen, A.K., Bennett, M.M., and Parks, H.L., 2022, Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho: U.S. Geological Survey data release, https://doi.org/10.5066/P9094RVV."},{"id":417443,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5012/sir20235012.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5012/covrthb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Northern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.93058150555078,\n 48.9704513230287\n ],\n [\n -116.93058150555078,\n 43.38357304109826\n ],\n [\n -111.08762543219147,\n 43.38357304109826\n ],\n [\n -111.08762543219147,\n 48.9704513230287\n ],\n [\n -116.93058150555078,\n 48.9704513230287\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
Redox-active functional groups in dissolved organic matter (DOM) are crucial for microbial electron transfer and methane emissions. However, the extent of aquatic DOM redox properties across northern high-latitude lakes and their relationships with DOM composition have not been thoroughly described. We quantified electron donating capacity (EDC) and electron accepting capacity (EAC) in lake DOM from Canada to Alaska and assessed their relationships with parameters from absorbance, fluorescence, and ultrahigh resolution mass spectrometry (FT-ICR MS) analyses. EDC and EAC are strongly tied to aromaticity and negatively related to aliphaticity and protein-like content. Redox-active formulae spanned a range of aromaticity, including highly unsaturated phenolic formulae, and correlated negatively with many aliphatic N and S-containing formulae. This distribution illustrates the compositional diversity of redox-sensitive functional groups and their sensitivity to ecosystem properties such as local hydrology and residence time. Finally, we developed a reducing index (RI) to predict EDC in aquatic DOM from FT-ICR MS spectra and assessed its robustness using riverine DOM. As the hydrology of the northern high-latitudes continues to change, we expect differences in the quantity and partitioning of EDC and EAC within these lakes, which have implications for local water quality and methane emissions.
Viral hemorrhagic septicemia virus (VHSV) is an aquatic rhabdovirus causing severe disease in freshwater and saltwater fish species. The susceptibility of endangered Pallid Sturgeon Scaphirhynchus albus to VHSV genotype IVb (VHSV-IVb) infection was investigated.
An in vitro assessment using two Pallid Sturgeon cell lines derived from skin and spleen tissue and in vivo evaluation of juvenile Pallid Sturgeon after exposure to VHSV-IVb were performed.
Plaque assay and RT-PCR results confirmed VHSV-IVb replication in Pallid Sturgeon cell lines. Sturgeon were also susceptible to VHSV-IVb infection after immersion and injection exposures during laboratory experiments. However, after widespread mortality occurred in all treatment groups, including negative control fish, it was determined that the Pallid Sturgeon stock fish were infected with Missouri River sturgeon iridovirus (MRSIV) prior to experimental challenge. Nevertheless, mortalities were equal or higher among VHSV-exposed fish than among negative controls (MRSIV infected), and histopathological assessments indicated reduced hematopoietic cells in spleen and kidney tissues and hemorrhage in the gastrointestinal organs only in fish from the VHSV treatment.
These results indicate that Pallid Sturgeon is a susceptible host for VHSV-IVb, but the degree of pathogenicity was confounded by the underlying MRSIV infection. Research comparing susceptibility of specific pathogen-free and MRSIV-infected fish to VHSV-IVb is needed to accurately assess the vulnerability of Pallid Sturgeon to VHSV-IVb.
","language":"English","publisher":"Wiley","doi":"10.1002/aah.10181","usgsCitation":"Hopper, L.R., Glenn, J., MacConnell, E., Winton, J., and Emmenegger, E.J., 2023, Susceptibility of Pallid Sturgeon to viral hemorrhagic septicemia virus genotype IVb: Journal of Aquatic Animal Health, v. 35, no. 2, p. 88-100, https://doi.org/10.1002/aah.10181.","productDescription":"13 p.","startPage":"88","endPage":"100","ipdsId":"IP-141811","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497995,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aah.10181","text":"Publisher Index Page"},{"id":435312,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CCV8DM","text":"USGS data release","linkHelpText":"Experimental Testing of Endangered Pallid Sturgeon to Viral Hemorrhagic Septicemia Virus Genotype IVb"},{"id":417565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopper, Lacey R.","contributorId":206813,"corporation":false,"usgs":false,"family":"Hopper","given":"Lacey","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":874203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Jolene A.","contributorId":305970,"corporation":false,"usgs":false,"family":"Glenn","given":"Jolene A.","affiliations":[{"id":36672,"text":"Previously USGS","active":true,"usgs":false}],"preferred":false,"id":874204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacConnell, Elizabeth","contributorId":305972,"corporation":false,"usgs":false,"family":"MacConnell","given":"Elizabeth","affiliations":[{"id":66331,"text":"Headwaters Fish Pathology, LLC, 1049 Tayabeshockup Road, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":874205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}