Many data collection efforts and modeling studies have focused on providing accurate estimates of streamflow while fewer efforts have sought to identify when and where surface water is present and the duration of surface water presence in stream channels, hereafter referred to as streamflow permanence. While physically-based hydrological models are frequently used to explore how water quantity may be influenced by various climatic and basin characteristics at local, regional, national, and global extents they are less often used to explore streamflow permanence. Herein, the Watershed Erosion Prediction Project (WEPP) hydrological model is applied to watersheds in the humid H. J. Andrews Experimental Forest (HJA) and watersheds of the arid Willow and Whitehorse creeks (WW), both in Oregon, to simulate daily (WW) and annual (HJA and WW) streamflow permanence. One thousand parameter combinations were tested to calibrate WEPP to observed streamflow in the HJA watersheds and one hundred parameter combinations were tested to calibrate WEPP to observed surface water presence time series data in WW watersheds. When calibrated to observed streamflow, WEPP correctly classified annual streamflow permanence for 83% of HJA stream reaches. In the WW, WEPP simulations correctly classified 63–93% of daily streamflow permanence observations and 59-87% of annual streamflow permanence classifications. Inclusion of a dry-day threshold (the maximum number of days a stream reach could be modeled ‘dry’ but still classified as permanent for the year) improved annual accuracy in three WW watersheds from 2-10%. Parameter sets that produced the best daily accuracies in WW resulted in poor annual accuracies. Results highlight the importance of evaluating physically-based streamflow permanence models on both permanent and nonpermanent streams at daily and annual time scales to ensure evaluation metrics are appropriate for interpretation purposes. Additionally, results suggest that strategic collection of surface water presence observations and streamflow observations may support robust calibration of physically based models to simulate streamflow permanence moving forward.
Two decades of drought in the southwestern USA are spurring concerns about increases in wind erosion, dust emissions, and associated impacts on ecosystems, agriculture, human health, and water supply. Different avenues of investigation into primary drivers of wind erosion and dust have yielded mixed results depending on the spatial and temporal sensitivity of the evidence. We monitored passive aeolian sediment traps from 2017 to 2020 across eighty-one sites near Moab UT to understand patterns of sediment flux. At measurement sites we collated climate, soil, topography and vegetation spatial layers to better understand the context of wind erosion and then combine these data with field observations of land use in models to characterize the influence of cattle grazing, oil and gas well pads, and vehicle/heavy equipment disturbance that potentially drive both exposure of bare soil and increases in erodible sediment supply that increase vulnerability to erosion. Disturbed areas with low soil calcium carbonate content yielded high sediment transport in dry years, but notably areas with little disturbance and low bare soil exposure had much less activity. Cattle grazing had the largest land use association with erosional activity with analyses suggesting that both herbivory and trampling from cattle could be drivers. The amount and distribution of bare soil exposure from new sub-annual fractional cover remote sensing products proved very helpful in mapping erosion, and new predictive maps informed by field data are presented to help depict spatial patterns of wind erosion activity. Our results suggest that despite the magnitude of current droughts, minimizing surface disturbance in vulnerable soils can mitigate a large portion of dust emissions. Results can help managers identify eroding areas where disturbance reduction and soil surface protection measures can be prioritized.
N-mixture models were born in 2004 of the necessity to model animal population size from point counts with imperfect detection of individuals, where capture-recapture methods are infeasible. Initially developed for applications where population size was assumed constant, N-mixture models were extended in 2011 to include population dynamics, allowing application to populations whose size fluctuates during the study. A further extension in 2014 accommodates populations with multiple “states” such as age class or sex. More recent extensions model spatial movement of animals among habitat patches or the spatial spread of infectious disease in a human population. The core idea underlying this class of models is a hierarchical structure, where the observation model is defined conditional on the model for true abundance. This hierarchy allows researchers to incorporate information about observation and abundance processes, while permitting distinct inferences about elements affecting detection and those affecting abundance. Another benefit of the hierarchical approach is the ability to accommodate many existing sampling protocols such as removal sampling and distance sampling. One drawback to N-mixture models is that since they estimate both abundance and detection from replicated but unmarked counts, model parameters may not be clearly identifiable. A second drawback is that when observed counts are large, calculating the N-mixture likelihood is computationally infeasible. This difficulty motivated an approximate likelihood based on the normal approximation to the binomial. The normal approximation provides a diagnostic of parameter estimability based on the closed-form expression of the Fisher information matrix for a multivariate normal likelihood.
","language":"English","publisher":"Wiley","doi":"10.1002/wics.1625","usgsCitation":"Madsen, L., and Royle, J., 2023, A review of N-mixture models: WIREs Computational Statistics, v. 15, no. 6, e1625, 15 p., https://doi.org/10.1002/wics.1625.","productDescription":"e1625, 15 p.","ipdsId":"IP-147184","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wics.1625","text":"Publisher Index Page"},{"id":502005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Madsen, Lisa","contributorId":369194,"corporation":false,"usgs":false,"family":"Madsen","given":"Lisa","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70243201,"text":"70243201 - 2023 - The role of giant impacts in planet formation","interactions":[],"lastModifiedDate":"2023-11-28T14:40:41.162373","indexId":"70243201","displayToPublicDate":"2023-05-31T11:24:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14267,"text":"Annual Reviews of Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"The role of giant impacts in planet formation","docAbstract":"Planets are expected to conclude their growth through a series of giant impacts: energetic, global events that significantly alter planetary composition and evolution. Computer models and theory have elucidated the diverse outcomes of giant impacts in detail, improving our ability to interpret collision conditions from observations of their remnants. However, many open questions remain, as even the formation of the Moon—a widely suspected giant-impact product for which we have the most information—is still debated. We review giant-impact theory, the diverse nature of giant-impact outcomes, and the governing physical processes. We discuss the importance of computer simulations, informed by experiments, for accurately modeling the impact process. Finally, we outline how the application of probability theory and computational advancements can assist in inferring collision histories from observations, and we identify promising opportunities for advancing giant-impact theory in the future.
The impact of a biological invasion on native communities is expected to be uneven across invaded landscapes due to differences in local abiotic conditions, invader abundance, and traits and composition of the native community. One way to improve predictive ability about the impact of an invasive species given variable conditions is to exploit known mechanisms driving invasive species' success. Invasive plants frequently exhibit allelopathic traits, which can be directly toxic to plants or indirectly impact them via disruption of root symbionts, including mycorrhizal fungi. The indirect mechanism – mutualism disruption – is predicted to impact plants that rely on mycorrhizas but not affect non-mycorrhizal plant species. To assess whether invader-driven mutualism disruption explains observed changes in native plant communities, we analyzed long-term (1998–2018) plant cover data from forest plots across the state of Illinois. We evaluated native plant communities experiencing a range of abundance of invasive allelopathic garlic mustard Alliaria petiolata and varying environmental conditions. Consistent with the mutualism disruption hypothesis, we showed that as garlic mustard abundance increased over time in 0.25 m2 sampling quadrats, the abundance of mycorrhizal plant species decreased, but non-mycorrhizal plant species did not. Over space and time, garlic mustard abundance predicted plant abundances and diversity at the quadrat level, but this relationship was not present at a larger scale when quadrats were aggregated within sites. Garlic mustard's impact on the plant community was highly localized, yet it was as important as abiotic variables for predicting local plant diversity. We showed that garlic mustard abundance was a key predictor of patterns of plant diversity across invasion intensity and environmental heterogeneity in a way that is consistent with mutualism disruption. Our work indicates that the mutualism disruption hypothesis can provide generalizable predictions of the impacts of allelopathic invasive plants that are evident at a broad spatial scale.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.06434","usgsCitation":"Roche, M., Pearse, I., Sofaer, H., Kivlin, S.N., Spyreas, G., Zaya, D.N., and Kalisz, S., 2023, Invasion-mediated mutualism disruption is evident across heterogeneous environmental conditions and varying invasion intensities: Ecography, v. 2023, no. 7, e06434, 11 p., https://doi.org/10.1111/ecog.06434.","productDescription":"e06434, 11 p.","ipdsId":"IP-140975","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.06434","text":"Publisher Index Page"},{"id":421999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2023","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Roche, Morgan 0000-0002-2276-3944","orcid":"https://orcid.org/0000-0002-2276-3944","contributorId":248273,"corporation":false,"usgs":false,"family":"Roche","given":"Morgan","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":886484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":886485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":886486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kivlin, Stephanie N 0000-0003-2442-7773","orcid":"https://orcid.org/0000-0003-2442-7773","contributorId":248275,"corporation":false,"usgs":false,"family":"Kivlin","given":"Stephanie","email":"","middleInitial":"N","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":886487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spyreas, Greg","contributorId":196310,"corporation":false,"usgs":false,"family":"Spyreas","given":"Greg","affiliations":[],"preferred":false,"id":886488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaya, David N.","contributorId":150864,"corporation":false,"usgs":false,"family":"Zaya","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":18125,"text":"University of Illinois, Chicago","active":true,"usgs":false}],"preferred":false,"id":886489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalisz, Susan 0000-0002-1761-5752","orcid":"https://orcid.org/0000-0002-1761-5752","contributorId":248276,"corporation":false,"usgs":false,"family":"Kalisz","given":"Susan","email":"","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":886490,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70244016,"text":"70244016 - 2023 - Larval cisco and lake whitefish exhibit high distributional overlap within nursery areas","interactions":[],"lastModifiedDate":"2023-10-11T15:26:46.445116","indexId":"70244016","displayToPublicDate":"2023-05-29T08:22:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Larval cisco and lake whitefish exhibit high distributional overlap within nursery areas","docAbstract":"Coregonine fishes, including lake whitefish (Coregonus clupeaformis) and cisco (C. artedi), are socioecologically important in the Laurentian Great Lakes and of conservation concern, but the processes driving recruitment variability are unclear. 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":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. Cincinnati,","active":true,"usgs":false}],"preferred":false,"id":883638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zorzano Mier, Maria-Paz","contributorId":302696,"corporation":false,"usgs":false,"family":"Zorzano Mier","given":"Maria-Paz","email":"","affiliations":[{"id":47594,"text":"Centro de Astrobiologia","active":true,"usgs":false}],"preferred":false,"id":883639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kminek, Gerhard","contributorId":329933,"corporation":false,"usgs":false,"family":"Kminek","given":"Gerhard","email":"","affiliations":[{"id":78738,"text":"European Space Research and Technology Centre","active":true,"usgs":false}],"preferred":false,"id":883640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael ","contributorId":190017,"corporation":false,"usgs":false,"family":"Meyer","given":"Michael 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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":70256669,"text":"70256669 - 2023 - Patterns of water use by raptors in the southern Great Plains","interactions":[],"lastModifiedDate":"2024-08-07T23:44:22.183237","indexId":"70256669","displayToPublicDate":"2023-05-25T18:42:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of water use by raptors in the southern Great Plains","docAbstract":"There is a paucity of data evaluating water use by raptors. Although raptors are believed to satisfy their water requirements through metabolic processes, they are known to experience reduced reproductive success during periods of drought, and there is evidence of water being important for site occupancy in arid landscapes. Several raptor species have a seasonal or year-round presence in west Texas, a drought-prone, semi-arid region of the Southern Great Plains. We examined species-specific timing of free water use by common raptors in this region, and examined environmental conditions associated with water use. We collected 4549 camera trap-days of data across 4 yr at ten human-made water sources placed for cattle. We recorded 14 species of raptors among the 1177 detections of raptors visiting water sources; of these, 1084 raptors (92.1%) perched at tanks, and 93 (7.1%) flew by tanks. Of the raptors that perched at tanks, 63.5% drank and 20.8% both bathed and drank. Barn Owls (Tyto alba; 35.6%), Swainson's Hawks (Buteo swainsoni; 32.0%), and Northern Harriers (Circus hudsonius; 21.0%) were the predominate species detected. Visits by Northern Harriers and Swainson's Hawks increased with increasing temperature and decreasing precipitation. Visits by Barn Owls increased with increasing drought severity. Further, detections per 100 trap-days increased substantively across our 4-yr study period during which the region experienced one of the worst droughts on record. Although our data do not demonstrate these raptors require free water, they do reveal an increasing use of free water in relation to hotter and drier conditions. How this influences survival and reproduction remains unknown, but may become a pressing question because current climate models predict the study area will experience increases in heat and decreases in precipitation.
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-21-70","usgsCitation":"Boal, C.W., Bibles, B.D., and Gicklhorn, T., 2023, Patterns of water use by raptors in the southern Great Plains: Journal of Raptor Research, v. 57, no. 3, p. 444-455, https://doi.org/10.3356/JRR-21-70.","productDescription":"12 p.","startPage":"444","endPage":"455","ipdsId":"IP-134224","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341539,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent","email":"","middleInitial":"D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":908581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gicklhorn, Trevor S.","contributorId":341540,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243938,"text":"70243938 - 2023 - Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study","interactions":[],"lastModifiedDate":"2023-05-25T12:05:21.55694","indexId":"70243938","displayToPublicDate":"2023-05-25T06:46:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study","docAbstract":"Species often exhibit regionally specific habitat associations, so habitat association models developed in one region might not be accurate or even appropriate for other regions. Three programs to survey wetland-breeding birds covering (respectively) Great Lakes coastal wetlands, inland Great Lakes wetlands, and the Prairie Pothole Region offer an opportunity to test whether regionally specific models of habitat use by wetland-obligate breeding birds are transferrable across regions. We first developed independent, regional population density models for four species of wetland-obligate birds: Pied-billed Grebe (Podilymbus podiceps), Virginia Rail (Rallus limicola), Sora (Porzana carolina), and American Bittern (Botaurus lentiginosus). We then used adjusted pseudo-R2 values to compare the amount of variation explained by each model when applied to data collected in each of the three regions. Although certain habitat characteristics, such as emergent vegetation and wetland area, were consistently important across regions, models for each species differed by region—both in variables selected for inclusion and often in the directionality of relationships for common variables—indicating that habitat associations for these species are regionally specific. When we applied a model developed in one region to data collected in another region, we found that explanatory power was reduced in most (71%) models. Therefore, we suggest that ecological analyses should emphasize regionally specific habitat association models whenever possible. Nonetheless, models created from inland Great Lakes wetland data had higher median explanatory power when applied to other regions, and the amount of explanatory power lost by other transferred models was relatively small. Thus, while regionally specific habitat association models are preferable, in the absence of reliable regional data, habitat association models developed in one region may be applied to another region, but the results need to be cautiously interpreted. Additionally, we found that median explanatory power was higher when local-scale habitat characteristics were included in the models, indicating that regionally specific models should ideally be based on a combination of local- and landscape-scale habitat characteristics. Conservation practitioners can leverage such regionally specific models and associated monitoring data to help prioritize areas for management activities that contribute to regional conservation efforts.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4499","usgsCitation":"Elliott, L.H., Bracey, A.M., Niemi, G.J., Johnson, D., Gehring, T.M., Gnass Giese, E.E., Fiorino, G.E., Howe, R.W., Lawrence, G.A., Norment, C.J., Tozer, D.C., and Igl, L., 2023, Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study: Ecosphere, v. 14, no. 5, e4499, 19 p., https://doi.org/10.1002/ecs2.4499.","productDescription":"e4499, 19 p.","ipdsId":"IP-109710","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":443363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4499","text":"Publisher Index Page"},{"id":417421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, New York, North Dakota, 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Louisiana","interactions":[],"lastModifiedDate":"2023-05-30T14:19:45.884972","indexId":"70243980","displayToPublicDate":"2023-05-23T08:48:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana","docAbstract":"Coastal Louisiana is currently experiencing high rates of wetland loss and large-scale ecosystem restoration is being implemented. One of the largest and most novel restoration projects is a controlled sediment diversion, proposed to rebuild and sustain wetlands by diverting sediment- and nutrient-rich water from the Mississippi River. However, the impact of this proposed sediment diversion on the nutrient budget of the receiving basin is largely unknown. A water quality model was developed to investigate the impact of the planned Mid-Barataria Sediment Diversion on the nutrient budget of the Barataria Basin (herein referred to as ‘the Basin’). The model results indicate that the planned diversion will increase TN and TP pools by about 38% and 17%, respectively, even with TN and TP loadings that increase by >300%. Water quality model results suggest that the increase of nutrients in the basin will be mitigated by increased advection transport (i.e., decreased residence time from ~170 days to ~40 days, leading to greater flushing) and increased removal via assimilation, denitrification, and settling within the Basin. Advection transport resulted in higher TN removal in the Basin than other processes, such as uptake or denitrification. Approximately 25% of the additional TN loading and 30% of the additional TP loading were processed within the Basin through the assimilation of phytoplankton and wetland vegetation, denitrification, and burial in the sediment/soils. These nutrient budgets help to better understand how the planned large-scale sediment diversion project may change the future ecological conditions within the estuaries of coastal Louisiana and near-shore northern Gulf of Mexico.
","language":"English","publisher":"MDPI","doi":"10.3390/w15111974","usgsCitation":"Jung, H., Nuttle, W.K., Baustian, M.M., and Carruthers, T., 2023, Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana: Water, v. 15, no. 11, 1974, 26 p., https://doi.org/10.3390/w15111974.","productDescription":"1974, 26 p.","ipdsId":"IP-147358","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15111974","text":"Publisher Index Page"},{"id":417528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.95930658584572,\n 28.576529058181706\n ],\n [\n -89.35817902592156,\n 29.01036697967102\n ],\n [\n -89.24031087691701,\n 29.18888336467873\n ],\n [\n -89.67249408993412,\n 29.421859677181203\n ],\n [\n -90.17539819235454,\n 29.835100651604293\n ],\n [\n -90.3954187371632,\n 29.739625500016345\n ],\n [\n -90.2186165136559,\n 29.182023077646647\n ],\n [\n -89.95930658584572,\n 28.576529058181706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Jung, Hoonshin","contributorId":305843,"corporation":false,"usgs":false,"family":"Jung","given":"Hoonshin","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":873997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuttle, William K.","contributorId":189603,"corporation":false,"usgs":false,"family":"Nuttle","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":873998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":873999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carruthers, Tim J. 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B.","affiliations":[],"preferred":false,"id":874000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243854,"text":"70243854 - 2023 - Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts","interactions":[],"lastModifiedDate":"2023-05-23T12:16:24.329372","indexId":"70243854","displayToPublicDate":"2023-05-23T07:07:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts","docAbstract":"Predictions of total water levels, the elevation of combined tides, surge, and wave runup at the shoreline, are necessary to provide guidance on potential coastal erosion and flooding. Despite the importance of early warning systems for these hazards, existing real-time meteorological and oceanographic forecast systems at regional and national scales, until now, have lacked estimates of runup necessary to predict wave-driven overwash and erosion. To address this need, we present an approach that includes wave runup in an operational, national-scale modeling system. Using this system, we quantify the contribution of waves to potential dune erosion events along 4,700 km of U.S. Atlantic and Gulf of Mexico sandy coastlines for a one-year period. Dune erosion events were predicted to occur at over 80% of coastal locations, where waves dominated shoreline total water levels, representing 73% of the signal. This shows that models that neglect the wave component underestimate the hazard. This new, national-scale operational modeling system provides communities with timely, local-scale (0.5 km resolution) coastal hazard warnings for all wave conditions, allowing for rapid decision-making related to safety and emergency management. The modeling system also enables continued research into wave-driven processes at a broad range of coastal areas.","language":"English","publisher":"Springer","doi":"10.1038/s43247-023-00817-2","usgsCitation":"Stockdon, H.F., Long, J.W., Palmsten, M.L., Van der Westhuysen, A., Doran, K., and Snell, R.J., 2023, Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts: Communications Earth & Environment, v. 4, 169, 8 p., https://doi.org/10.1038/s43247-023-00817-2.","productDescription":"169, 8 p.","ipdsId":"IP-140230","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-023-00817-2","text":"Publisher Index Page"},{"id":417327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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-91.4936797933068,\n 30.58812494051587\n ],\n [\n -92.38103033894947,\n 30.067492994077398\n ],\n [\n -93.2326918137982,\n 30.306418360660075\n ],\n [\n -94.85495575522606,\n 30.152070241447106\n ],\n [\n -95.81594760838453,\n 29.136116159096744\n ],\n [\n -96.79982273211209,\n 29.01887229706344\n ],\n [\n -97.9470878560416,\n 27.622879098207235\n ],\n [\n -97.93793165398785,\n 26.091833774506156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2023-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Stockdon, Hilary F 0000-0003-0791-4676","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":305600,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"","middleInitial":"F","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":873504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":873505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":873506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van der Westhuysen, Andre","contributorId":305676,"corporation":false,"usgs":false,"family":"Van der Westhuysen","given":"Andre","affiliations":[{"id":36262,"text":"NOAA National Centers for Environmental Prediction","active":true,"usgs":false}],"preferred":false,"id":873507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":292448,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":873508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snell, Richard J. rsnell@usgs.gov","contributorId":5554,"corporation":false,"usgs":true,"family":"Snell","given":"Richard","email":"rsnell@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":873509,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248071,"text":"70248071 - 2023 - Permafrost microbial communities and functional genes are structured by latitudinal and soil geochemical gradients","interactions":[],"lastModifiedDate":"2023-09-05T11:44:56.309185","indexId":"70248071","displayToPublicDate":"2023-05-22T06:41:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost microbial communities and functional genes are structured by latitudinal and soil geochemical gradients","docAbstract":"Permafrost underlies approximately one quarter of Northern Hemisphere terrestrial surfaces and contains 25–50% of the global soil carbon (C) pool. Permafrost soils and the C stocks within are vulnerable to ongoing and future projected climate warming. The biogeography of microbial communities inhabiting permafrost has not been examined beyond a small number of sites focused on local-scale variation. Permafrost is different from other soils. Perennially frozen conditions in permafrost dictate that microbial communities do not turn over quickly, thus possibly providing strong linkages to past environments. Thus, the factors structuring the composition and function of microbial communities may differ from patterns observed in other terrestrial environments. Here, we analyzed 133 permafrost metagenomes from North America, Europe, and Asia. Permafrost biodiversity and taxonomic distribution varied in relation to pH, latitude and soil depth. The distribution of genes differed by latitude, soil depth, age, and pH. Genes that were the most highly variable across all sites were associated with energy metabolism and C-assimilation. Specifically, methanogenesis, fermentation, nitrate reduction, and replenishment of citric acid cycle intermediates. This suggests that adaptations to energy acquisition and substrate availability are among some of the strongest selective pressures shaping permafrost microbial communities. The spatial variation in metabolic potential has primed communities for specific biogeochemical processes as soils thaw due to climate change, which could cause regional- to global- scale variation in C and nitrogen processing and greenhouse gas emissions.
Chinook salmon represent one of the most successful salmonid introductions in South America, and today multiple naturalized populations exist across Patagonia. Here, we present an updated regional distribution of Chinook salmon that includes new records of occurrences collected between 2006 and 2022. We found a significant range expansion in terms of occurrences for adult (18 new basins; 2,854,108 km2) and adult spawners or juvenile (12 new basins; 53,262 km2) salmon extending both to the north and south of the previously known colonized range in South America. This range expansion (38% of the area considering only occurrences indicating reproduction via adult spawners or juvenile salmon) included major basins draining to both the Pacific Ocean and Atlantic Ocean coasts of the continent. Adult Chinook salmon are currently reported from 48 large basins (33.62°–54.97° S) covering a total drainage area of 3,047,197 km2. The observed expansion we document here has been likely driven by the dispersal of straying adults from historically naturalized populations. Our findings provide evidence that the invasion of Chinook salmon in South America is ongoing and updated information relevant to the management of this invasive and socio-ecologically important fish.
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Species with uniparental incubation must balance time spent incubating eggs with time spent away from the nest to satisfy self-maintenance needs. Patterns of nest attendance, therefore, influence embryonic development and the time it takes for eggs to hatch. We studied nest attendance (time on the nest), incubation constancy (time nests were at incubation temperatures), and variation in nest temperature of 1,414 dabbling duck nests of three species in northern California. Daily nest attendance increased from only 1–3% on the day the first egg was laid to 51–57% on the day of clutch completion, and 80–83% after clutch completion through hatch. Variation in nest temperature also decreased gradually during egg-laying, and then dropped sharply (33–38%) between the day of and the day after clutch completion because increased nest attendance, particularly at night, resulted in more consistent nest temperatures. During the egg-laying stage, nocturnal nest attendance was low (13–25%), whereas after clutch completion, nest attendance was greater at night (≥87%) than during the day (70–77%) because most incubation recesses occurred during the day. Moreover, during egg-laying, nest attendance and incubation constancy increased more slowly among nests with larger final clutch sizes, suggesting that the number of eggs remaining to be laid is a major driver of incubation effort during egg-laying. Although overall nest attendance after clutch completion was similar among species, the average length of individual incubation bouts was greatest among gadwall (Mareca strepera; 779 minutes), followed by mallard (Anas platyrhynchos; 636 minutes) and then cinnamon teal (Spatula cyanoptera; 347 minutes). These results demonstrate that dabbling ducks moderate their incubation behavior according to nest stage, nest age, time of day, and clutch size and this moderation likely has important implications for egg development and overall nest success.
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Although outcomes of restoration projects are usually assessed using indices of species abundance and diversity, phenotypic differences among individuals within species are likely associated with differing responses to restored habitats. Here, we use lake sturgeon (Acipenser fulvescens) as a case study to illustrate how responses to habitat restoration can differ between phenotypes and potentially lead to unanticipated effects on populations. North America’s St. Clair River supports one of the largest remaining populations of lake sturgeon but has lost much spawning habitat due to its role as a major industrial corridor between the Laurentian Great Lakes Erie and Huron. Two artificial reefs were recently built in the lower and middle segments of the river to increase the available sturgeon spawning habitat. Interestingly, lake sturgeon in the St. Clair River express different migratory phenotypes that may be associated with different likelihoods of colonizing artificial reefs. Acoustic telemetry revealed that artificial reefs were more likely to be used by sturgeon that migrated downstream to overwinter in Lake St. Clair than those that migrated upstream to overwinter in Lake Huron. Furthermore, increasing time spent at the artificial reefs by Lake St. Clair migrants was associated with later arrival to and shorter occupancy of the river’s only natural spawning site, the primary location where the two phenotypes have opportunity to interbreed. Additional research is necessary to determine the ultimate impacts of the artificial reefs on lake sturgeon populations; nevertheless, our study showed phenotype-specific opportunity to colonize restored habitat and a mechanism through which this could lead to changes in gene flow. Our results illustrate the importance of considering intra-specific diversity when planning restoration projects and assessing the effects on populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110076","usgsCitation":"Buchinger, T.J., Hondorp, D.W., and Krueger, C.C., 2023, Intra-specific variation in responses to habitat restoration: Could artificial reefs increase spatiotemporal segregation between migratory phenotypes of lake sturgeon?: Ecological Indicators, v. 148, 110076, 7 p., https://doi.org/10.1016/j.ecolind.2023.110076.","productDescription":"110076, 7 p.","ipdsId":"IP-151337","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":443480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.110076","text":"Publisher Index Page"},{"id":417203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Lake Huron, Lake St. Clair, St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.50885589470187,\n 42.48978302604715\n ],\n [\n -82.52588339888945,\n 42.56005734914967\n ],\n [\n -82.47650363674543,\n 42.63902146230933\n ],\n [\n -82.44925963004543,\n 42.772905765259964\n ],\n [\n -82.46288163339523,\n 42.81538798109838\n ],\n [\n -82.44415137878899,\n 42.90026491830179\n ],\n [\n -82.38285236371387,\n 42.970075962069245\n ],\n [\n -82.3794468628761,\n 43.024871973150255\n ],\n [\n -82.44925963004543,\n 43.02611676912798\n ],\n [\n -82.4509623804641,\n 42.9688300302966\n ],\n [\n -82.49523389135167,\n 42.895275386959554\n ],\n [\n -82.51055865258667,\n 42.805665154220605\n ],\n [\n -82.49863939965553,\n 42.77442615992763\n ],\n [\n -82.53780265928711,\n 42.64179770072707\n ],\n [\n -82.65529243818133,\n 42.648060128002214\n ],\n [\n -82.67231994236889,\n 42.572869396811484\n ],\n [\n -82.6716018993314,\n 42.52443050483427\n ],\n [\n -82.58305887755624,\n 42.485516224320605\n ],\n [\n -82.50885589470187,\n 42.48978302604715\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"148","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchinger, Tyler J. 0000-0002-4590-341X","orcid":"https://orcid.org/0000-0002-4590-341X","contributorId":290501,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":873016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":873017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krueger, Charles C. 0000-0002-6735-5012","orcid":"https://orcid.org/0000-0002-6735-5012","contributorId":274493,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":873018,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243706,"text":"70243706 - 2023 - Barrier island reconfiguration leads to rapid erosion and relocation of a rural Alaska community","interactions":[],"lastModifiedDate":"2023-07-11T16:04:06.943392","indexId":"70243706","displayToPublicDate":"2023-05-18T07:47:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island reconfiguration leads to rapid erosion and relocation of a rural Alaska community","docAbstract":"Coastal erosion is one of the foremost hazards that circumpolar communities face. Climate change and warming temperatures are anticipated to accelerate coastal change, increasing risk to coastal communities. Most erosion hazard studies for Alaska communities only consider linear erosion and do not anticipate coastal morphologic changes. This study showcases the possibility and consequence of accelerated erosion by examining a shift from stability to rapid erosion that forced the rural Alaska Native village of Meshik (now Port Heiden) to abandon the original town site and relocate inland. A combination of remote sensing, coastal surveys, and community-based monitoring are used to map coastal morphologic changes and identify erosion drivers. The community’s shoreline was stable until a protective barrier island eroded away. The exposure to open ocean waves, coupled with unconsolidated, low-density sediments, led to rapid erosion rates averaging of 5.8 ± 0.6 m/y from the 1970s to 2020s. The sudden and rapid erosion put great stress on Meshik and resulted in the loss of homes, erosion of a safe boat harbor, and pollution of the beach and bay. Erosion of the barrier island coincided with a period of greater storm activity and sea ice decline, but the exact cause for its erosion could not be determined. Many polar communities are built on or behind barriers and are on easily erodible soils such as sands and thawing permafrost. This study highlights the need to study, monitor, and predict morphologic change and regime shifts that can bring catastrophic impacts to coastal communities.","language":"English","publisher":"Allen Press","doi":"10.2112/JCOASTRES-D-22-00093.1","usgsCitation":"Buzard, R., Kinsman, N.E., Maio, C.V., Erikson, L.H., Jones, B.M., Anderson, S.K., Glenn, R., and Overbeck, J.R., 2023, Barrier island reconfiguration leads to rapid erosion and relocation of a rural Alaska community: Journal of Coastal Research, v. 39, no. 4, p. 625-642, https://doi.org/10.2112/JCOASTRES-D-22-00093.1.","productDescription":"18 p.","startPage":"625","endPage":"642","ipdsId":"IP-147862","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Meshik, Port Heiden","otherGeospatial":"Aniakchak Volcano, Bristol Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -158.82365753904958,\n 56.95251936361021\n ],\n [\n -158.82365753904958,\n 56.879736242479424\n ],\n [\n -158.64890766892418,\n 56.879736242479424\n ],\n [\n -158.64890766892418,\n 56.95251936361021\n ],\n [\n -158.82365753904958,\n 56.95251936361021\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buzard, Richard M.","contributorId":208627,"corporation":false,"usgs":false,"family":"Buzard","given":"Richard M.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":873006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinsman, Nicole E.M.","contributorId":305383,"corporation":false,"usgs":false,"family":"Kinsman","given":"Nicole","email":"","middleInitial":"E.M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":873007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maio, Christopher V.","contributorId":208635,"corporation":false,"usgs":false,"family":"Maio","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":873008,"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":873009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":873150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Scott K.","contributorId":71748,"corporation":false,"usgs":false,"family":"Anderson","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":873011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glenn, Roberta","contributorId":305500,"corporation":false,"usgs":false,"family":"Glenn","given":"Roberta","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":873012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Overbeck, Jacquelyn R.","contributorId":181813,"corporation":false,"usgs":false,"family":"Overbeck","given":"Jacquelyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":873013,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70243736,"text":"70243736 - 2023 - Biting midges (Diptera: Ceratopogonidae) as putative vectors of zoonotic Onchocerca lupi (Nematoda: Onchocercidae) in northern Arizona and New Mexico, southwestern United States","interactions":[],"lastModifiedDate":"2023-05-18T12:36:04.991303","indexId":"70243736","displayToPublicDate":"2023-05-18T07:17:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5720,"text":"Frontiers in Veterinary Science","onlineIssn":"2297-1769","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biting midges (Diptera: Ceratopogonidae) as putative vectors of zoonotic Onchocerca lupi (Nematoda: Onchocercidae) in northern Arizona and New Mexico, southwestern United States","title":"Biting midges (Diptera: Ceratopogonidae) as putative vectors of zoonotic Onchocerca lupi (Nematoda: Onchocercidae) in northern Arizona and New Mexico, southwestern United States","docAbstract":"Onchocerca lupi (Rodonaja, 1967) is an understudied, vector-borne, filarioid nematode that causes ocular onchocercosis in dogs, cats, coyotes, wolves, and is also capable of infecting humans. Onchocercosis in dogs has been reported with increasing incidence worldwide. However, despite the growing number of reports describing canine O. lupi cases as well as zoonotic infections globally, the disease prevalence in endemic areas and vector species of this parasite remains largely unknown. Here, our study aimed to identify the occurrence of O. lupi infected dogs in northern Arizona, New Mexico, and Utah, United States and identify the vector of this nematode. A total of 532 skin samples from randomly selected companion animals with known geographic locations within the Navajo Reservation were collected and molecularly surveyed by PCR for the presence of O. lupi DNA (September 2019–June 2022) using previously published nematode primers (COI) and DNA sequencing. O. lupi DNA was detected in 50 (9.4%) sampled animals throughout the reservation. Using positive animal samples to target geographic locations, pointed hematophagous insect trapping was performed to identify potential O. lupi vectors. Out of 1,922 insects screened, 38 individual insects and 19 insect pools tested positive for the presence of O. lupi, all of which belong to the Diptera family. This increased surveillance of definitive host and biological vector/intermediate host is the first large scale prevalence study of O. lupi in companion animals in an endemic area of the United States, and identified an overall prevalence of 9.4% in companion animals as well as multiple likely biological vector and putative vector species in the southwestern United States. Furthermore, the identification of these putative vectors in close proximity to human populations coupled with multiple, local zoonotic cases highlight the One Health importance of O. lupi.
","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fvets.2023.1167070","usgsCitation":"Roe, C.C., Holiday, O., Upshaw-Bia, K., Benally, G., Williamson, C.H., Urbanz, J., Verocai, G.G., Ridenour, C., Nottingham, R., Ford, M., Lake, D., Kennedy, T., Hepp, C., and Sahl, J.W., 2023, Biting midges (Diptera: Ceratopogonidae) as putative vectors of zoonotic Onchocerca lupi (Nematoda: Onchocercidae) in northern Arizona and New Mexico, southwestern United States: Frontiers in Veterinary Science, v. 10, 9 p., https://doi.org/10.3389/fvets.2023.1167070.","productDescription":"9 p.","ipdsId":"IP-150229","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fvets.2023.1167070","text":"Publisher Index Page"},{"id":417199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","otherGeospatial":"Navajo Nation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.22550561323794,\n 36.9979468716905\n ],\n [\n -111.22550561323794,\n 35.0936531436959\n ],\n [\n -107.00338332131123,\n 35.0936531436959\n ],\n [\n -107.00338332131123,\n 36.9979468716905\n ],\n [\n -111.22550561323794,\n 36.9979468716905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Roe, Chandler C.","contributorId":305527,"corporation":false,"usgs":false,"family":"Roe","given":"Chandler","email":"","middleInitial":"C.","affiliations":[{"id":66242,"text":"The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holiday, Olivia","contributorId":305528,"corporation":false,"usgs":false,"family":"Holiday","given":"Olivia","email":"","affiliations":[{"id":66244,"text":"Navajo Nation Veterinary Management Program, Window Rock, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Upshaw-Bia, Kelly","contributorId":305529,"corporation":false,"usgs":false,"family":"Upshaw-Bia","given":"Kelly","email":"","affiliations":[{"id":66244,"text":"Navajo Nation Veterinary Management Program, Window Rock, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benally, Gaven","contributorId":305530,"corporation":false,"usgs":false,"family":"Benally","given":"Gaven","email":"","affiliations":[{"id":66244,"text":"Navajo Nation Veterinary Management Program, Window Rock, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Charles H.D.","contributorId":305531,"corporation":false,"usgs":false,"family":"Williamson","given":"Charles","email":"","middleInitial":"H.D.","affiliations":[{"id":66246,"text":"The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urbanz, Jennifer","contributorId":305532,"corporation":false,"usgs":false,"family":"Urbanz","given":"Jennifer","email":"","affiliations":[{"id":66247,"text":"Eye Care for Animals, Scottsdale, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verocai, Guilherme G.","contributorId":305533,"corporation":false,"usgs":false,"family":"Verocai","given":"Guilherme","email":"","middleInitial":"G.","affiliations":[{"id":66248,"text":"Department of Veterinary Pathobiology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA","active":true,"usgs":false}],"preferred":false,"id":873113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ridenour, Chase","contributorId":305534,"corporation":false,"usgs":false,"family":"Ridenour","given":"Chase","email":"","affiliations":[{"id":66249,"text":"The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":873114,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nottingham, Roxanne","contributorId":177902,"corporation":false,"usgs":false,"family":"Nottingham","given":"Roxanne","email":"","affiliations":[],"preferred":false,"id":873115,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ford, Morgan 0000-0001-5104-9566","orcid":"https://orcid.org/0000-0001-5104-9566","contributorId":221740,"corporation":false,"usgs":true,"family":"Ford","given":"Morgan","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":873116,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lake, Derek","contributorId":305535,"corporation":false,"usgs":false,"family":"Lake","given":"Derek","email":"","affiliations":[{"id":66246,"text":"The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":873117,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":873118,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hepp, Crystal","contributorId":305536,"corporation":false,"usgs":false,"family":"Hepp","given":"Crystal","email":"","affiliations":[{"id":66249,"text":"The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":873119,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sahl, Jason W.","contributorId":177903,"corporation":false,"usgs":false,"family":"Sahl","given":"Jason","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":873120,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70246260,"text":"70246260 - 2023 - Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone","interactions":[],"lastModifiedDate":"2023-06-28T13:26:15.350566","indexId":"70246260","displayToPublicDate":"2023-05-16T08:19:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone","docAbstract":"The delineation of faults that pose seismic risk in intraplate seismic zones and the mapping of features associated with failed rift basins can help our understanding of links between the two. We use new high-resolution aeromagnetic data, previous borehole sample information, and reprocessed seismic reflection profiles to image subsurface structures and evaluate recent fault activity within the Charleston seismic zone, the associated Mesozoic South Georgia rift basin, and surrounds. The new aeromagnetic data provide an unprecedented view of buried basement structures. NE- and NW-trending lineaments of various lengths throughout the survey area are interpreted as Paleozoic orogenic structures and Mesozoic dikes, respectively. Within the rift basin, 15- to 20-km long ESE-trending lineaments are associated with faults in pre-Cretaceous strata of the reflection data and are interpreted as Mesozoic rift structures. Various intersections and terminations of interpreted faults suggest rift-related reactivation of Paleozoic faults and corresponding inheritance for Mesozoic structures. The reflection data show that several Paleozoic and Mesozoic faults are associated with deformation in Cretaceous and younger sediments, suggesting reactivation in the more recent passive margin setting. Two of these faults, one NE-striking and one ESE-striking, are coincident with surficial landforms, suggesting Quaternary slip; the ESE-striking fault is also well-aligned with a plan-view offset in modern seismicity. A favorable orientation for reverse motion on ESE-striking Mesozoic faults, a possible sub-basin, and potentially weakened lithosphere are failed rift basin features that may influence intraplate seismicity within the Charleston seismic zone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010803","usgsCitation":"Shah, A.K., Pratt, T.L., and Horton,, J., 2023, Rift basins and intraplate earthquakes: New high-resolution aeromagnetic data provide insights into buried structures of the Charleston, South Carolina seismic zone: Geochemistry, Geophysics, Geosystems, v. 24, e2022GC010803, 25 p., https://doi.org/10.1029/2022GC010803.","productDescription":"e2022GC010803, 25 p.","ipdsId":"IP-144502","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":443523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010803","text":"Publisher Index Page"},{"id":418582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Charleston seismic zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.62681453773914,\n 34.845813308656375\n ],\n [\n -81.62681453773914,\n 32.343066119325954\n ],\n [\n -79.1425481149703,\n 32.343066119325954\n ],\n [\n -79.1425481149703,\n 34.845813308656375\n ],\n [\n -81.62681453773914,\n 34.845813308656375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":876471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":876472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":876473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263094,"text":"70263094 - 2023 - Stream restoration milestones: Monitoring scales determine successes and failures","interactions":[],"lastModifiedDate":"2025-01-29T15:26:16.16923","indexId":"70263094","displayToPublicDate":"2023-05-15T09:22:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration milestones: Monitoring scales determine successes and failures","docAbstract":"Urban stream restoration is growing globally, but there is much to learn from successes, failures, and evaluating tradeoffs in restoration practices. Significant time and resources have been invested towards restoring the structure and function of urban ecosystems and understanding and slowing the drivers of degradation. However, the rapid pace of urbanization and its effects on urban waters present an ever-growing challenge to environmental managers and restoration practitioners when identifying and prioritizing effective strategies for restoration and monitoring outcomes. Here, we synthesize major findings and papers originating from the 5th Symposium on Urbanization and Stream Ecology (SUSE5) and propose a new concept for monitoring restoration based on lessons learned. Efforts from SUSE5 showed that urban disturbances and restoration activities have strong localized impacts that can be challenging to detect and disentangle across broader watershed scales and longitudinal flowpaths. Most urban stream restoration projects are monitored at only one or a few locations that do not capture significant variability across stream reaches and longer flowpaths. Based on knowledge from SUSE5, we present a new concept called ‘restoration milestones.’ The restoration milestones concept proposes that the scale of stream monitoring over space and time can influence whether a stream restoration project is considered a success or failure. Therefore, answers to questions regarding restoration effectiveness and durability can be affected by spatial and temporal monitoring scales. Setting realistic restoration milestones involves establishing monitoring strategies that account for spatial and temporal variability. Tracking restoration performance through time across stream reaches along longitudinal flowpaths could aid in more accurately assessing project performance. We explore applications for evaluating restoration milestones along longitudinal stream flowpaths including: (1) identifying target areas of improvement along drainage networks, (2) accurately accounting for tradeoffs in habitat, protection of infrastructure, and water quality along flowpaths, and (3) detecting how far downstream the effects of stream restoration and stormwater management can be propagated. Monitoring across different spatial and temporal scales is an overlooked but critical factor in determining restoration success. Additionally, the scale of the restoration project itself can determine the type and magnitude of improvements. Expectations for what a restoration project can accomplish in terms of water quality improvements should be calibrated to the project’s spatial scale and evolution over time. Longitudinal studies of stream restoration help identify successes and failures along flowpaths.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11252-023-01370-8","usgsCitation":"Kaushal, S., Fork, M.L., Hawley, R.J., Hopkins, K.G., Rios-Touma, B., and Roy, A.H., 2023, Stream restoration milestones: Monitoring scales determine successes and failures: Urban Ecosystems, v. 26, p. 1131-1142, https://doi.org/10.1007/s11252-023-01370-8.","productDescription":"12 p.","startPage":"1131","endPage":"1142","ipdsId":"IP-144413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":210125,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay S.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":925531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fork, Megan L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":925532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawley, Robert J.","contributorId":167574,"corporation":false,"usgs":false,"family":"Hawley","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":24758,"text":"Sustainable Streams, LLC, Louisville, KY","active":true,"usgs":false}],"preferred":false,"id":925533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rios-Touma, Blanca","contributorId":348572,"corporation":false,"usgs":false,"family":"Rios-Touma","given":"Blanca","affiliations":[],"preferred":false,"id":925535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70243604,"text":"70243604 - 2023 - A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary","interactions":[],"lastModifiedDate":"2023-05-15T14:03:31.182073","indexId":"70243604","displayToPublicDate":"2023-05-15T08:43:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary","docAbstract":"Salinity intrusion in coastal systems is mainly controlled by freshwater inflows. However, extreme events like drought, low-pressure storms, and longer-term sea level rise can exacerbate the landward salt migration and threaten economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin. Salinity intrusion is actively managed through river discharge targets to suppress the propagation of the salt front (∼0.52 daily averaged psu line). The purpose of this study is to examine the mechanisms controlling the location of the salt front in the Delaware Bay estuary using a calibrated three-dimensional hydrodynamic model, the Coupled Ocean Atmosphere Wave and Sediment Transport modeling system. This study explored how river discharge, tidal motions, interactions with bathymetric and topographic features, and meteorological events affected the location of the salt front. The model was forced with tides, subtidal water levels, bulk atmospheric conditions, and waves. Compared with the observationally derived location of the salt front line, the model captured the major dynamics throughout the year and performed particularly well during times of low discharge, when salinity intruded up estuary at a constant rate of 0.4 km/day. The daily average salt front moved almost 16 km (10 mi) within a neap-spring tidal cycle, and low-pressure storm systems were found to move the daily averaged salt front by 13–16 km in one event.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108257","usgsCitation":"Cook, S.E., Warner, J.C., and Russell, K.L., 2023, A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary: Estuarine, Coastal and Shelf Science, v. 283, 108257, 16 p., https://doi.org/10.1016/j.ecss.2023.108257.","productDescription":"108257, 16 p.","ipdsId":"IP-144529","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108257","text":"Publisher Index Page"},{"id":417021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.11619955096559,\n 38.73763237303737\n ],\n [\n -74.81060422137368,\n 39.208395097691294\n ],\n [\n -74.91812850400805,\n 39.25661375840713\n ],\n [\n -75.01433444110185,\n 39.41418851915901\n ],\n [\n -75.23504217914052,\n 39.44041644236643\n ],\n [\n -75.38218067116583,\n 39.43604580737218\n ],\n [\n -75.48404578102958,\n 39.50157653385622\n ],\n [\n -75.42745405332741,\n 39.58449350233724\n ],\n [\n -75.438772398868,\n 39.70650629113666\n ],\n [\n -75.35954398008468,\n 39.815264281891444\n ],\n [\n -75.1218587237355,\n 39.854375102531634\n ],\n [\n -75.07658534157395,\n 39.96289938512186\n ],\n [\n -74.82192256691424,\n 40.092901497017834\n ],\n [\n -74.68610242042881,\n 40.11454442418824\n ],\n [\n -74.73703497536101,\n 40.244257356638315\n ],\n [\n -74.80494504860373,\n 40.2312972236667\n ],\n [\n -74.88417346738633,\n 40.131853808272524\n ],\n [\n -75.16713210589779,\n 39.98458360741816\n ],\n [\n -75.21240548805935,\n 39.906488214275356\n ],\n [\n -75.38218067116583,\n 39.87609371208512\n ],\n [\n -75.50102329934073,\n 39.81091726046725\n ],\n [\n -75.58591089089398,\n 39.69779823272037\n ],\n [\n -75.65948013690662,\n 39.61937626699262\n ],\n [\n -75.61420675474504,\n 39.54086534174442\n ],\n [\n -75.61986592751498,\n 39.47100320828065\n ],\n [\n -75.438772398868,\n 39.199624508869135\n ],\n [\n -75.438772398868,\n 39.16014330842418\n ],\n [\n -75.438772398868,\n 39.06354039027241\n ],\n [\n -75.35388480731474,\n 38.997598861666404\n ],\n [\n -75.33690728900422,\n 38.89636906587077\n ],\n [\n -75.11619955096559,\n 38.73763237303737\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"283","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":872581,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243530,"text":"70243530 - 2023 - Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon","interactions":[],"lastModifiedDate":"2023-05-11T11:51:53.294068","indexId":"70243530","displayToPublicDate":"2023-05-11T06:40:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon","docAbstract":"Migratory diversity can promote population differentiation if sympatric phenotypes become temporally, spatially, or behaviorally segregated during breeding. In this study, the potential for spatiotemporal segregation was tested among three migratory phenotypes of lake sturgeon (Acipenser fulvescens) that spawn in the St. Clair River of North America’s Laurentian Great Lakes but differ in how often they migrate into the river and in which direction they move after spawning. Acoustic telemetry over 9 years monitored use of two major spawning sites by lake sturgeon that moved north to overwinter in Lake Huron or south to overwinter in Lake St. Clair. Lake St. Clair migrants were further distinguished by whether they migrated into the St. Clair River each year (annual migrants) or intermittently (intermittent migrants). Social network analyses indicated lake sturgeon generally co-occurred with individuals of the same migratory phenotype more often than with different migratory phenotypes. A direct test for differences in space use revealed one site was almost exclusively visited by Lake St. Clair migrants whereas the other site was visited by Lake Huron migrants, intermittent Lake St. Clair migrants, and, to a lesser extent, annual Lake St. Clair migrants. Analysis of arrival and departure dates indicated opportunity for co-occurrence at the site visited by all phenotypes but showed Lake Huron migrants arrived approximately 2 weeks before Lake St. Clair migrants. Taken together, our results indicated partial spatiotemporal segregation of migratory phenotypes that may generate assortative mating and promote population differentiation.
","language":"English","publisher":"Springer","doi":"10.1007/s00442-022-05280-y","usgsCitation":"Buchinger, T.J., Hondorp, D.W., and Krueger, C.C., 2023, Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon: Oecologia, v. 201, p. 953-964, https://doi.org/10.1007/s00442-022-05280-y.","productDescription":"12 p.","startPage":"953","endPage":"964","ipdsId":"IP-145544","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":416953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Lake Huron, Lake St. Clair, St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.44106634783627,\n 43.02142044090863\n ],\n [\n -82.43493230856738,\n 43.00572237651323\n ],\n [\n -82.43493230856738,\n 42.98665504673153\n ],\n [\n -82.4272647594809,\n 42.97543620673554\n ],\n [\n -82.46406899509569,\n 42.93166317141717\n ],\n [\n -82.48707164235513,\n 42.89010612827542\n ],\n [\n -82.48400462272066,\n 42.85076962407413\n ],\n [\n -82.49473919144158,\n 42.83165427664838\n ],\n [\n -82.49320568162476,\n 42.802407600536924\n ],\n [\n -82.48400462272066,\n 42.782151798798424\n ],\n [\n -82.48247111290384,\n 42.76414107641085\n ],\n [\n -82.49320568162476,\n 42.74612511637403\n ],\n [\n -82.49780621107678,\n 42.72472436138173\n ],\n [\n -82.51160779943214,\n 42.710077484389984\n ],\n [\n -82.52080885833621,\n 42.67400890494051\n ],\n [\n -82.52387587797065,\n 42.641303662813186\n ],\n [\n -82.5392109761436,\n 42.62212362728596\n ],\n [\n -82.60208487865226,\n 42.63340671694476\n ],\n [\n -82.63735560445019,\n 42.650327516652254\n ],\n [\n -82.67415984006571,\n 42.63340671694476\n ],\n [\n -82.68182738915219,\n 42.57584157849038\n ],\n [\n -82.67415984006571,\n 42.54308473958321\n ],\n [\n -82.6511571928063,\n 42.54082501338064\n ],\n [\n -82.60975242773874,\n 42.51822325322155\n ],\n [\n -82.6005513688354,\n 42.48543617491288\n ],\n [\n -82.55454607431655,\n 42.499005327087275\n ],\n [\n -82.51774183870103,\n 42.484305279350025\n ],\n [\n -82.5085407797977,\n 42.52048379725801\n ],\n [\n -82.54227799577804,\n 42.580358413596514\n ],\n [\n -82.5085407797977,\n 42.60970986652924\n ],\n [\n -82.49780621107678,\n 42.6379193801549\n ],\n [\n -82.49933972089363,\n 42.66386084303551\n ],\n [\n -82.47020303436533,\n 42.713457839779466\n ],\n [\n -82.47020303436533,\n 42.732609709294906\n ],\n [\n -82.45333442637477,\n 42.76188936783501\n ],\n [\n -82.46713601473087,\n 42.80915806122647\n ],\n [\n -82.45486793619236,\n 42.86425924971999\n ],\n [\n -82.44720038710591,\n 42.89010612827542\n ],\n [\n -82.45026740674035,\n 42.90358715831874\n ],\n [\n -82.44720038710591,\n 42.92604899219708\n ],\n [\n -82.40886264167352,\n 42.95635948072143\n ],\n [\n -82.39812807295186,\n 42.981045882622254\n ],\n [\n -82.40426211222149,\n 42.998993406281045\n ],\n [\n -82.37819244532761,\n 43.00908658525387\n ],\n [\n -82.39659456313501,\n 43.03823534271183\n ],\n [\n -82.44106634783627,\n 43.02142044090863\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"201","noUsgsAuthors":false,"publicationDate":"2023-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Buchinger, Tyler J. 0000-0002-4590-341X","orcid":"https://orcid.org/0000-0002-4590-341X","contributorId":290501,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":872235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":872236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krueger, Charles C. 0000-0002-6735-5012","orcid":"https://orcid.org/0000-0002-6735-5012","contributorId":274493,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":872237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243878,"text":"70243878 - 2023 - Assembling the right pieces: Developing an interdisciplinary team to study disease, decline, and recovery of a world-class Smallmouth Bass fishery","interactions":[],"lastModifiedDate":"2023-07-24T16:52:34.573388","indexId":"70243878","displayToPublicDate":"2023-05-10T11:17:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Assembling the right pieces: Developing an interdisciplinary team to study disease, decline, and recovery of a world-class Smallmouth Bass fishery","docAbstract":"Managing and understanding fisheries dynamics are becoming more complex as new and seemingly more complicated environmental factors are identified. Often management requires resources beyond that of any one entity and calls for collaboration among partners with differing priorities and backgrounds to account for the complexity of factors influencing fisheries. We present a collaborative case study from the Susquehanna River basin, Pennsylvania, where Smallmouth Bass Micropterus dolomieu have faced population declines, mortality events, and notable signs of disease in recent years. Collaboration was required to study many facets of the fishery and the environment simultaneously to better understand risk factors and underlying relationships influencing Smallmouth Bass health. The outcomes from this interdisciplinary collaboration allowed for identification of contributing risk factors, led to the development of products and analytical techniques that were mutually beneficial to all partners involved, and provided knowledge that was integrated into fish health and fisheries management.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10922","usgsCitation":"Schall, M., Smith, G., Blazer, V., Walsh, H.L., Wertz, T., Shull, D.R., and Wagner, T., 2023, Assembling the right pieces: Developing an interdisciplinary team to study disease, decline, and recovery of a world-class Smallmouth Bass fishery: Fisheries Magazine, v. 48, no. 2, p. 287-294, https://doi.org/10.1002/fsh.10922.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-142756","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443590,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.10922","text":"Publisher Index Page"},{"id":417401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New York, Pennsylvania","otherGeospatial":"Susquehanna River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.5,\n 39.528797988906234\n ],\n [\n -75.5,\n 42.26954597404389\n ],\n [\n -77.80771178110639,\n 42.26954597404389\n ],\n [\n -77.80771178110639,\n 39.528797988906234\n ],\n [\n -75.5,\n 39.528797988906234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Schall, Megan K.","contributorId":264767,"corporation":false,"usgs":false,"family":"Schall","given":"Megan K.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":873593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Geoffrey","contributorId":199064,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey","affiliations":[],"preferred":false,"id":873594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":873592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":873595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wertz, Timothy","contributorId":274363,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","affiliations":[{"id":56607,"text":"Pennsylvania Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":873596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shull, Dustin R.","contributorId":147947,"corporation":false,"usgs":false,"family":"Shull","given":"Dustin","email":"","middleInitial":"R.","affiliations":[{"id":16963,"text":"PA DEP","active":true,"usgs":false}],"preferred":false,"id":873597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":873598,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255245,"text":"70255245 - 2023 - Diverse migratory portfolios drive inter-annual switching behavior of elk across the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2024-06-13T12:25:42.960467","indexId":"70255245","displayToPublicDate":"2023-05-09T07:15:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Diverse migratory portfolios drive inter-annual switching behavior of elk across the Greater Yellowstone Ecosystem","docAbstract":"A growing body of evidence shows that some ungulates alternate between migratory and nonmigratory behaviors over time. Yet it remains unclear whether such short-term behavioral changes can help explain reported declines in ungulate migration worldwide, as opposed to long-term demographic changes. Furthermore, advances in tracking technology reveal that a simple distinction between migration and nonmigration may not sufficiently describe all individual behaviors. To better understand the dynamics and drivers of ungulate switching behavior, we investigated 14 years of movement data from 361 elk in 20 herds across the Greater Yellowstone Ecosystem (GYE). First, we categorized yearly individual behaviors using a clustering algorithm that identified similar migratory tactics across a continuum of behaviors. Then, we tested seven hypotheses to explain why some ungulates switch behaviors, and we evaluated how behavioral changes affected the proportions of different behaviors across the system. We identified four distinct behavioral tactics: residents (4.8% of elk-years), short-distance migrants (53.7%), elevational migrants (21.9%) and long-distance migrants (19.6%). Of the 20 herds, 18 were partially migratory, and 5 had all four movement tactics present. We observed switches between migratory tactics in all sets of consecutive years during our study period, with an average of 22.5% of individual elk changing movement tactics from one year to the next. Elk in herds with higher movement tactic diversity were significantly more likely to switch tactics and often responded more effectively to adverse environmental conditions, compared to those in herds with low movement tactic diversity. During our study period, switching increased the prevalence of both short- and long-distance migrants, decreased the prevalence of elevational migrants, and had no effect on the prevalence of residents. Our findings suggest that rather than contributing to the declining migratory behavior found in the GYE, switching behavior may enable greater resiliency to continuously changing environmental and anthropogenic conditions.