Effective management of invasive species benefits from a comprehensive understanding of the species’ behavior and interactions with the invaded system. We investigated temporal dynamics of telemetry detections and the potential utility of a traitor approach for informing response efforts to the invasive grass carp (Ctenopharyngodon idella) population in the Sandusky River, a major tributary to Lake Erie. Telemetered grass carp exhibited heightened activity at night and early morning, suggesting that capture and removal be more effective during these time periods. Analysis of catch per unit effort (CPUE) across different removal methods, trammel nets, electrofishing, and hoop nets. suggested that incorporating the traitor approach could improve capture. Low catchability values (<0.026), based on the number of telemetered grass carp present in the river on a weekly basis and the number of those telemetered fish captured, suggest the species is difficult to capture. Optimizing response effort efficiency is important and refining catchability estimates will lessen errors in population models and improve interpretation of low CPUE data. Results from generalized additive models suggest capture could be improved using telemetry data, night removals, and by attempting exploratory removal efforts in fall and winter months. By incorporating telemetry data and acknowledging the complexities of grass carp behavior and ecology, we found that a multifaceted and data-driven approach to invasive species control could be beneficial, ultimately promoting conservation and sustainability in dynamic ecosystems like Lake Erie.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102373","usgsCitation":"Acre, M.R., Hessler, T.M., Bonjour, S.M., Roberts, J., Colborne, S.F., Brenden, T., Nathan, L.R., Broaddus, D., Vandergoot, C.S., Mayer, C.M., Qian, S.S., Hunter, R., Brown, R.E., and Calfee, R.D., 2024, Capturing potential: Leveraging grass carp behavior Ctenopharyngodon idella for enhanced removal: Journal of Great Lakes Research, v. 50, 102373, 14 p., https://doi.org/10.1016/j.jglr.2024.102373.","productDescription":"102373, 14 p.","ipdsId":"IP-163490","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439507,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102373","text":"Publisher Index Page"},{"id":430894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie, Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.39142052169268,\n 41.71182863215597\n ],\n [\n -83.39142052169268,\n 41.11734456643944\n ],\n [\n -81.60768939771071,\n 41.11734456643944\n ],\n [\n -81.60768939771071,\n 41.71182863215597\n ],\n [\n -83.39142052169268,\n 41.71182863215597\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hessler, Tyler Michael 0000-0001-5062-2340","orcid":"https://orcid.org/0000-0001-5062-2340","contributorId":272075,"corporation":false,"usgs":true,"family":"Hessler","given":"Tyler","email":"","middleInitial":"Michael","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, James J. 0000-0002-4193-610X 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O.","contributorId":276046,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":905995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nathan, Lucas R.","contributorId":340047,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":905996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Broaddus, Dustin 0000-0002-3160-0477","orcid":"https://orcid.org/0000-0002-3160-0477","contributorId":331134,"corporation":false,"usgs":true,"family":"Broaddus","given":"Dustin","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905997,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":905998,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":905999,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":906000,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hunter, Robert D.","contributorId":237766,"corporation":false,"usgs":false,"family":"Hunter","given":"Robert D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":906001,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brown, Ryan E.","contributorId":332137,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":906002,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":906003,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70254375,"text":"sir20235064D - 2024 - Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70254375,"text":"sir20235064D - 2024 - Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064D","publicationYear":"2024","noYear":false,"chapter":"D","displayTitle":"Peak Streamflow Trends in Michigan and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2024-06-14T12:16:27.670601","indexId":"sir20235064D","displayToPublicDate":"2024-05-23T09:30:14","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"D","displayTitle":"Peak Streamflow Trends in Michigan and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020","docAbstract":"This study characterizes hydroclimatic variability and change in peak streamflow and daily streamflow in Michigan from water years 1921 through 2020. Four analysis periods were examined: the 100-year period from water year 1921 through 2020, the 75-year period from water year 1946 through 2020, the 50-year period from water year 1971 through 2020, and the 30-year period from water year 1991 through 2020. Peak streamflow and climate data were available at 4, 29, 50, and 30 streamgages in the 100-, 75-, 50-, and 30-year periods, respectively. Daily streamflow was available for 4, 29, 74, and 79 streamgages in the 100-, 75-, 50-, and 30-year periods, respectively.
Peak streamflow for each streamgage and analysis period was assessed for monotonic trends and change points. Trends in peak streamflow were predominantly upward, with some isolated downward trends throughout the southern half of Michigan for all four analysis periods. Trends in the Upper Peninsula were downward in 75- and 50-year analysis periods and upward or neutral in the 30-year period. Upward trends in peak flows were largely driven by increases in precipitation, which occurred at nearly every streamgage in all analysis periods, with the greatest magnitude trends in winter and spring in the 50- and 30-year periods.
Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Groundwater interactions with mountain streams are often simplified in model projections, potentially leading to inaccurate estimates of streamflow response to climate change. Here, using a high-resolution, integrated hydrological model extending 400 m into the subsurface, we find groundwater an important and stable source of historical streamflow in a mountainous watershed of the Colorado River. In a warmer climate, increased forest water use is predicted to reduce groundwater recharge resulting in groundwater storage loss. Losses are expected to be most severe during dry years and cannot recover to historical levels even during simulated wet periods. Groundwater depletion substantially reduces annual streamflow with intermittent conditions predicted when precipitation is low. Expanding results across the region suggests groundwater declines will be highest in the Colorado Headwater and Gunnison basins. Our research highlights the tight coupling of vegetation and groundwater dynamics and that excluding explicit groundwater response to warming may underestimate future reductions in mountain streamflow.
We hypothesize that aquatic ecosystem services are likely to be inequitably accessible and addressing this hypothesis requires systematic assessment at regional and national scales. We used existing data from large-scale aquatic monitoring programs (National Coastal Condition Assessment, National Lakes Assessment) to examine relationships between ecosystem condition, approximating a subset of cultural and provisioning services, and inequality (population below poverty level, minority population). We also assessed whether monitoring sites equitably represented the gradient of socioeconomic backgrounds. Several water quality indicators were associated with significantly different minority and low-income percentages; however, the effect size was generally small, with the exception of nitrogen condition status. Minority communities were somewhat under-represented when comparing the distribution of all census blocks to those in proximity to monitoring sites. Analyses were sensitive to the skewed distribution of monitoring sites with a low frequency of observations at the more socially vulnerable part of the gradient. We discuss implications of these findings for improving the representation of vulnerable communities in large-scale monitoring programs.
Northern high-latitude glaciers impact nearshore marine ecosystems through the discharge of cold and fresh waters, including nutrients and organic matter. Fishes are important integrators of ecosystem processes and hold key positions in the transfer of energy to higher trophic positions in such systems. This study used a natural gradient in space and time, including watershed glacial cover (0–60%) of five adjacent estuaries and three sequential discharge periods (pre-peak, peak, post-peak) in the northern Gulf of Alaska (Kachemak Bay) to test whether differences in glacial cover of watersheds upstream of estuaries affect dietary resource use of nearshore fishes. Dietary resource use was assessed using stomach content and stable carbon and nitrogen isotope analyses to determine fish diet composition and trophic niche width. Crescent gunnel (Pholis laeta), a mostly sedentary species, was our focal species for comparisons across estuaries and discharge periods. Discharge period had a greater influence on diet composition and trophic niche width of crescent gunnels than watershed glacial coverage. Niche width of crescent gunnel was larger during the post-peak discharge period compared to pre-peak and peak periods, coincident with a shift in prey spectrum. However, watershed glacial cover was not a suitable predictor of niche width of crescent gunnel. Trophic resource use was also considered along this glacial cover gradient for two other fish species, Pacific staghorn sculpin (Leptocottus armatus) and starry flounder (Platichthys stellatus), but within the post-peak discharge period only. These species exploited a larger prey base compared to crescent gunnel, likely due to their greater mobility. Similar to crescent gunnel, there were no relationships in trophic niche width associated with watershed glacial coverage for these other species during the post-peak discharge period. Instead, trophic resource use of these three nearshore fish species was influenced by a more complex set of dynamic environmental variables (salinity, temperature, turbidity, and discharge), as well as static watershed characteristics, especially vegetation cover. Such drivers can act through changes in metabolic rates, modulating foraging strategies and trophic connectivity, as well as terrestrial nutrient delivery to support estuarine production. The environmental conditions associated with the glacially influenced estuaries during our study period (2020−2021) seemed within a range that allowed nearshore fishes to maintain energy pathways and prey bases across these estuaries, but it is unknown how these estuarine food webs may be influenced in years of extreme conditions such as during heat waves, droughts, or floods.
In machine learning or scientific computing, model performance is measured with an objective function. But why choose one objective over another? According to the information-theoretic paradigm, the “best” objective function is whichever minimizes information loss. To evaluate different objectives, transform them into likelihoods. The ratios of these likelihoods represent how strongly we should prefer one objective versus another, and the log of that ratio represents the relative information loss (or gain) from one objective to another. In plain terms, minimizing information loss is equivalent to minimizing uncertainty, as well as maximizing probability and general utility. We argue that this paradigm is well-suited to models that have many uses and no definite utility like the complex Earth system models used to understand the effects of climate change. Furthermore, the benefits of “maximizing information and general utility” extend beyond model accuracy to other important considerations including how efficiently the model calibrates, how well it generalizes, and how well it compresses data.
Delineating wildlife population boundaries is important for effective population monitoring and management. The bobcat (Lynx rufus) is a highly mobile generalist carnivore that is ecologically and economically important. We sampled 1225 bobcats harvested in South Dakota, USA (2014–2019), of which 878 were retained to assess genetic diversity and infer population genetic structure using 17 microsatellite loci. We assigned individuals to genetic clusters (K) using spatial and nonspatial Bayesian clustering algorithms and quantified differentiation (FST and GST″) among clusters. We found support for population genetic structure at K = 2 and K = 4, with pairwise FST and GST″ values indicating weak to moderate differentiation, respectively, among clusters. For K = 2, eastern and western clusters aligned closely with historical bobcat management units and were consistent with a longitudinal suture zone for bobcats previously identified in the Great Plains. We did not observe patterns of population genetic structure aligning with major rivers or highways. Genetic divergence observed at K = 4 aligned roughly with ecoregion breaks and may be associated with environmental gradients, but additional sampling with more precise locational data may be necessary to validate these patterns. Our findings reveal that cryptic population structure may occur in highly mobile and broadly distributed generalist carnivores, highlighting the importance of considering population structure when establishing population monitoring programs or harvest regulations. Our study further demonstrates that for elusive furbearers, harvest can provide an efficient, broad-scale sampling approach for genetic population assessments.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11411","usgsCitation":"Fetherston, S.C., Lonsinger, R.C., Perkins, L.B., Lehman, C.P., Adams, J., and Waits, L., 2024, Genetic analysis of harvest samples reveals population structure in a highly mobile generalist carnivore: Ecology and Evolution, v. 14, no. 5, e11411, 13 p., https://doi.org/10.1002/ece3.11411.","productDescription":"e11411, 13 p.","ipdsId":"IP-157245","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11411","text":"Publisher Index Page"},{"id":433052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.76565071228751,\n 46.8024638543848\n ],\n [\n -104.76565071228751,\n 42.035583213643264\n ],\n [\n -95.53713508728745,\n 42.035583213643264\n ],\n [\n -95.53713508728745,\n 46.8024638543848\n ],\n [\n -104.76565071228751,\n 46.8024638543848\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fetherston, Stuart C.","contributorId":341222,"corporation":false,"usgs":false,"family":"Fetherston","given":"Stuart","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Lora B.","contributorId":341223,"corporation":false,"usgs":false,"family":"Perkins","given":"Lora","email":"","middleInitial":"B.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":908107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Chadwick P.","contributorId":341224,"corporation":false,"usgs":false,"family":"Lehman","given":"Chadwick","email":"","middleInitial":"P.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":908108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Jennifer R.","contributorId":341225,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":908109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waits, Lisette P.","contributorId":341226,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":908110,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254581,"text":"70254581 - 2024 - Genome-wide association analysis of the resistance to infectious hematopoietic necrosis virus in two rainbow trout aquaculture lines confirms oligogenic architecture with several moderate effect quantitative trait loci","interactions":[],"lastModifiedDate":"2024-06-03T11:25:29.57809","indexId":"70254581","displayToPublicDate":"2024-05-23T06:21:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5062,"text":"Frontiers in Genetics","onlineIssn":"1664-8021","active":true,"publicationSubtype":{"id":10}},"title":"Genome-wide association analysis of the resistance to infectious hematopoietic necrosis virus in two rainbow trout aquaculture lines confirms oligogenic architecture with several moderate effect quantitative trait loci","docAbstract":"Infectious hematopoietic necrosis (IHN) is a disease of salmonid fish that is caused by the IHN virus (IHNV), which can cause substantial mortality and economic losses in rainbow trout aquaculture and fisheries enhancement hatchery programs. In a previous study on a commercial rainbow trout breeding line that has undergone selection, we found that genetic resistance to IHNV is controlled by the oligogenic inheritance of several moderate and many small effect quantitative trait loci (QTL). Here we used genome wide association analyses in two different commercial aquaculture lines that were naïve to previous exposure to IHNV to determine whether QTL were shared across lines, and to investigate whether there were major effect loci that were still segregating in the naïve lines. A total of 1,859 and 1,768 offspring from two commercial aquaculture strains were phenotyped for resistance to IHNV and genotyped with the rainbow trout Axiom 57K SNP array. Moderate heritability values (0.15–0.25) were estimated. Two statistical methods were used for genome wide association analyses in the two populations. No major QTL were detected despite the naïve status of the two lines. Further, our analyses confirmed an oligogenic architecture for genetic resistance to IHNV in rainbow trout. Overall, 17 QTL with notable effect (≥1.9% of the additive genetic variance) were detected in at least one of the two rainbow trout lines with at least one of the two statistical methods. Five of those QTL were mapped to overlapping or adjacent chromosomal regions in both lines, suggesting that some loci may be shared across commercial lines. Although some of the loci detected in this GWAS merit further investigation to better understand the biological basis of IHNV disease resistance across populations, the overall genetic architecture of IHNV resistance in the two rainbow trout lines suggests that genomic selection may be a more effective strategy for genetic improvement in this trait.
To improve flood-frequency estimates for rural streams in the Coastal Plain region of Louisiana, generalized least-squares regression techniques were used to relate corresponding annual exceedance probability streamflows for 211 streamgages in the region to a suite of explanatory variables that include physical, climatic, pedologic, and land-use characteristics of the streamgage drainage area. The resulting generalized least-squares models can be used to estimate selected annual exceedance probability streamflows for rural ungaged locations in the Coastal Plain region of Louisiana. For the 211 streamgages in the Coastal Plain region of Louisiana and surrounding States, annual peak-streamflow data available through the 2016 water year were used in this study. Two unique flood regions, the Mississippi Alluvial Plain and Coastal Plain, were identified as separate hydrologic regions based on statistical evaluation and significance of categorical variables representing the regions regressed against the 1-percent annual exceedance probability streamflow (the 100-year flood). Regional regression equations for estimating annual exceedance probability streamflow for the Mississippi Alluvial Plain region have been previously published; therefore, the purpose of this study was to generate updated regional regression equations for the Coastal Plain region of Louisiana. The final regression models used drainage area and channel slope as explanatory variables based on performance metrics.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245031","issn":"2328-0328","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Ensminger, P.A., Wagner, D.M., and Whaling, A., 2024, Magnitude and frequency of floods in the Coastal Plain region of Louisiana, 2016: U.S. Geological Survey Scientific Investigations Report 2024–5031, 18 p., https://doi.org/10.3133/sir20245031.","productDescription":"Report: viii, 18 p.; 2 Data Releases","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-091992","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":428761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5031/coverthb.jpg"},{"id":428762,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5031/images"},{"id":428766,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":499458,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117008.htm","linkFileType":{"id":5,"text":"html"}},{"id":428767,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B48P2W","text":"USGS data release","linkHelpText":"Flood-frequency of rural, non-tidal streams in Louisiana and part of Arkansas, Mississippi, and Texas, 1877–2016"},{"id":428765,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245031/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5031 HTML"},{"id":428764,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5031/sir20245031.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5031 XML"},{"id":428763,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5031/sir20245031.pdf","size":"2.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5031"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.00967112876856,\n 29.444945586186265\n ],\n [\n -88.68056894510033,\n 29.126157783971323\n ],\n [\n -88.60834825216723,\n 33.49872733992268\n ],\n [\n -89.99512218551115,\n 34.151214622331636\n ],\n [\n -90.94796783046621,\n 34.514518506267706\n ],\n [\n -93.48068301952253,\n 34.58384293733218\n ],\n [\n -94.52066293605651,\n 33.519758483995176\n ],\n [\n -94.62647823892294,\n 29.923162538843826\n ],\n [\n -94.00967112876856,\n 29.444945586186265\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Natural ecosystems store large amounts of carbon globally, as organisms absorb carbon from the atmosphere to build large, long-lasting, or slow-decaying structures such as tree bark or root systems. An ecosystem’s carbon sequestration potential is tightly linked to its biological diversity. Yet when considering future projections, many carbon sequestration models fail to account for the role biodiversity plays in carbon storage. Here, we assess the consequences of plant biodiversity loss for carbon storage under multiple climate and land-use change scenarios. We link a macroecological model projecting changes in vascular plant richness under different scenarios with empirical data on relationships between biodiversity and biomass. We find that biodiversity declines from climate and land use change could lead to a global loss of between 7.44-103.14 PgC (global sustainability scenario) and 10.87-145.95 PgC (fossil-fueled development scenario). This indicates a self-reinforcing feedback loop, where higher levels of climate change lead to greater biodiversity loss, which in turn leads to greater carbon emissions and ultimately more climate change. Conversely, biodiversity conservation and restoration can help achieve climate change mitigation goals.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-47872-7","usgsCitation":"Weiskopf, S.R., Isbell, F., Arce-Plata, M.I., Di Marco, M., Harfoot, M., Johnson, J., Lerman, S.B., Miller, B.W., Morelli, T.L., Mori, A.S., Weng, E., and Ferrier, S., 2024, Biodiversity loss reduces global terrestrial carbon storage: Nature Communications, v. 15, 4354, 12 p., https://doi.org/10.1038/s41467-024-47872-7.","productDescription":"4354, 12 p.","ipdsId":"IP-152335","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439525,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-47872-7","text":"Publisher Index Page"},{"id":434954,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WUFMU","text":"USGS data release","linkHelpText":"Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050"},{"id":429349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":901599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isbell, Forest","contributorId":271280,"corporation":false,"usgs":false,"family":"Isbell","given":"Forest","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":901600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arce-Plata, Maria Isabel","contributorId":271276,"corporation":false,"usgs":false,"family":"Arce-Plata","given":"Maria","email":"","middleInitial":"Isabel","affiliations":[{"id":54487,"text":"University of Montreal","active":true,"usgs":false}],"preferred":false,"id":901601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Di Marco, Moreno","contributorId":336960,"corporation":false,"usgs":false,"family":"Di Marco","given":"Moreno","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":901602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harfoot, Mike","contributorId":271279,"corporation":false,"usgs":false,"family":"Harfoot","given":"Mike","email":"","affiliations":[{"id":56332,"text":"UNEP WCMC","active":true,"usgs":false}],"preferred":false,"id":901603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Justin A.","contributorId":211868,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":901604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lerman, Susannah B.","contributorId":171615,"corporation":false,"usgs":false,"family":"Lerman","given":"Susannah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":901605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":901606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":901607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mori, Akira S.","contributorId":271281,"corporation":false,"usgs":false,"family":"Mori","given":"Akira","email":"","middleInitial":"S.","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":901608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weng, Ensheng 0000-0002-1858-4847","orcid":"https://orcid.org/0000-0002-1858-4847","contributorId":267936,"corporation":false,"usgs":false,"family":"Weng","given":"Ensheng","email":"","affiliations":[{"id":49221,"text":"NASA Goddard Institute for Space Studies","active":true,"usgs":false}],"preferred":false,"id":901609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ferrier, Simon 0000-0001-7884-2388","orcid":"https://orcid.org/0000-0001-7884-2388","contributorId":245542,"corporation":false,"usgs":false,"family":"Ferrier","given":"Simon","email":"","affiliations":[{"id":49219,"text":"Commonwealth Scientific and Industrial Research Organisation","active":true,"usgs":false}],"preferred":false,"id":901610,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254632,"text":"70254632 - 2024 - The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2024-06-06T14:45:23.008816","indexId":"70254632","displayToPublicDate":"2024-05-22T09:41:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence","docAbstract":"We introduce a community stress drop validation study using the 2019 Ridgecrest, California, earthquake sequence, in which researchers are invited to use a common dataset to independently estimate comparable measurements using a variety of methods. Stress drop is the change in average shear stress on a fault during earthquake rupture, and as such is a key parameter in many ground motion, rupture simulation, and source physics problems in earthquake science. Spectral stress drop is commonly estimated by fitting the shape of the radiated energy spectrum, yet estimates for an individual earthquake made by different studies can vary hugely. In this community study, sponsored jointly by the U. S. Geological Survey and Southern/Statewide California Earthquake Center, we seek to understand the sources of variability and uncertainty in earthquake stress drop through quantitative comparison of submitted stress drops. The publicly available dataset consists of nearly 13,000 earthquakes of M1 to 7 from two weeks of the 2019 Ridgecrest sequence recorded on stations within 1-degree. As a community study, findings are shared through workshops and meetings and all are invited to join at any time, at any interest level.
","language":"English","publisher":"McGill Library","doi":"10.26443/seismica.v3i1.1009","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Chu, S.X., and Taira, T., 2024, The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence: Seismica, v. 3, no. 1, 1009, 12 p., https://doi.org/10.26443/seismica.v3i1.1009.","productDescription":"1009, 12 p.","ipdsId":"IP-154164","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":439528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v3i1.1009","text":"Publisher Index Page"},{"id":429572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":902126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":902127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chu, Shanna Xianhui 0000-0001-5974-183X","orcid":"https://orcid.org/0000-0001-5974-183X","contributorId":337161,"corporation":false,"usgs":true,"family":"Chu","given":"Shanna","email":"","middleInitial":"Xianhui","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":902128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taira, Taka’aki 0000-0002-6170-797X","orcid":"https://orcid.org/0000-0002-6170-797X","contributorId":222985,"corporation":false,"usgs":false,"family":"Taira","given":"Taka’aki","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":902129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256134,"text":"70256134 - 2024 - Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting","interactions":[],"lastModifiedDate":"2024-07-23T20:20:38.219851","indexId":"70256134","displayToPublicDate":"2024-05-22T09:01:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting","docAbstract":"Illegal killing of protected nongame birds is pervasive and can be demographically relevant. \nIn 2021 and 2022, we evaluated spatial and temporal patterns in illegal killing of birds along \n69.7 km of power lines in the Morley Nelson Snake River Birds of Prey National \nConservation Area in Idaho, USA, to provide insight into potential drivers behind the activity \nand key information to manage this threat across the American west. The illegal shooting of 8 \nspecies of raptors and corvids we documented was clumped both temporally and spatially, as \nopposed to being randomly distributed across the year and landscape. We found 72 illegally \nshot birds, most killed during spring months (March to May), coincident with peak time \nperiods of legal recreational shooting activity, and in places with high levels of recreational \nshooting. We also found evidence of targeted killing of raptors in the conservation area in \nareas not associated with recreational shooting. Given the numbers of nesting pairs of some \nlocal raptor species, this shooting is likely demographically relevant for some but not all local \npopulations. Likewise, with the prevalence of recreational shooting across the American \nwest, the inference we draw is broadly relevant beyond our Idaho study area. The insight our \nwork provides can enable owners of power lines, law enforcement agencies, and resource \nmanagers to coordinate in outreach, regulatory, and law enforcement action to manage a \nthreat that may have widespread impacts for some avian species.","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithapp/duae020","usgsCitation":"Thomason, E.C., Belthoff, J.R., Poessel, S.A., and Katzner, T., 2024, Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting: Ornithological Applications, v. 126, duae020, 10 p., https://doi.org/10.1093/ornithapp/duae020.","productDescription":"duae020, 10 p.","ipdsId":"IP-151545","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439531,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duae020","text":"Publisher Index Page"},{"id":431353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.53411095454679,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 43.487453198340944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomason, Eve C. 0000-0002-9141-9397","orcid":"https://orcid.org/0000-0002-9141-9397","contributorId":245270,"corporation":false,"usgs":false,"family":"Thomason","given":"Eve","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":906844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belthoff, James R. 0000-0002-6051-2353","orcid":"https://orcid.org/0000-0002-6051-2353","contributorId":190592,"corporation":false,"usgs":false,"family":"Belthoff","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":906845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":906846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":906847,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254534,"text":"70254534 - 2024 - Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon","interactions":[],"lastModifiedDate":"2024-05-31T13:46:56.683395","indexId":"70254534","displayToPublicDate":"2024-05-22T08:41:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon","docAbstract":"Deformation in southeastern Alaska and southwest Yukon is governed by the subduction and translation of the Pacific-Yakutat plates relative to the North American plate in the St. Elias region. Despite notable historical seismicity and major regional faults, studies of the region between the Fairweather and Denali faults are complicated by glacial coverage and the remote setting. In the last decade, significant improvements have been made to the density of regional broadband seismometer networks. We relocate more than 5,000 earthquakes between 2010 and 2021 in the region of southeastern Alaska and southwestern Yukon utilizing these improved seismic networks. With reductions in catalog uncertainty, particularly in depth, we quantify the thickness of the seismogenic layer in the crust throughout the region and locate seismicity on a shallow network of upper-crustal faults. Relocated earthquakes, combined with an updated focal-mechanism catalog, permit estimating and classifying motion of active faults. This includes mapping the Totschunda-Fairweather “Connector” fault, which plays an important role in explaining regional deformation, and identifying new faults like the Kathleen Lake fault. We draw similarities between our seismic observations and simplified conceptual models of regional tectonics, which describe a dominant transpressional regime and localized slip partitioning. Our results support a hypothesis where current deformation is taking place on a well-defined and evolved network of shallow faults in the corridor between the Totschunda-Fairweather “Connector” and Denali faults.
","language":"English","publisher":"Americvan Geophysical Union","doi":"10.1029/2023TC008140","usgsCitation":"Biegel, K., Gosselin, J.M., Dettmer, J., Colpron, M., Enkelmann, E., and Caine, J., 2024, Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon: Tectonics, v. 43, no. 5, e2023TC008140, 15 p., https://doi.org/10.1029/2023TC008140.","productDescription":"e2023TC008140, 15 p.","ipdsId":"IP-158563","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":439534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc008140","text":"Publisher Index Page"},{"id":429399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152,\n 66\n ],\n [\n -152,\n 58\n ],\n [\n -132,\n 58\n ],\n [\n -132,\n 66\n ],\n [\n -152,\n 66\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Biegel, Katherine M. 0000-0001-8682-6169","orcid":"https://orcid.org/0000-0001-8682-6169","contributorId":337015,"corporation":false,"usgs":false,"family":"Biegel","given":"Katherine M.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gosselin, Jeremy M. 0000-0002-0375-4102","orcid":"https://orcid.org/0000-0002-0375-4102","contributorId":337016,"corporation":false,"usgs":false,"family":"Gosselin","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettmer, Jan 0000-0001-8906-8156","orcid":"https://orcid.org/0000-0001-8906-8156","contributorId":337017,"corporation":false,"usgs":false,"family":"Dettmer","given":"Jan","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colpron, Maurice","contributorId":221363,"corporation":false,"usgs":false,"family":"Colpron","given":"Maurice","email":"","affiliations":[],"preferred":false,"id":901769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enkelmann, Eva","contributorId":240604,"corporation":false,"usgs":false,"family":"Enkelmann","given":"Eva","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":901771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255715,"text":"70255715 - 2024 - Discovery and genomic characterization of a novel hepadnavirus from asymptomatic anadromous alewife (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2024-07-02T12:29:02.821223","indexId":"70255715","displayToPublicDate":"2024-05-22T07:27:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Discovery and genomic characterization of a novel hepadnavirus from asymptomatic anadromous alewife (Alosa pseudoharengus)","docAbstract":"In multiple observed caldera-forming eruptions, the rock overlying a draining magma reservoir dropped downward along ring faults in sequences of discrete collapse earthquakes. These sequences are analogous to tectonic earthquake cycles and provide opportunities to examine fault mechanics and collapse eruption dynamics over multiple events. Collapse earthquake cycles have been studied with zero-dimensional slider-block models, but these do not account for the complicated interplay between fluid and elastic dynamics or for factors such as the heterogeneous fault properties and non-vertical ring fault geometries often inferred at volcanoes. We present two-dimensional axisymmetric mafic piston-like collapse earthquake cycle models that include rate-and-state friction, fully-dynamic elasticity, and compressible viscous fluid magma flow. We demonstrate that collapse earthquake intervals and magnitudes are highly sensitive to inertial effects, evolving stress fields, fault geometry, and depth-varying fault friction. Given the consistent earthquake cycles observed in most eruptions, this suggests that ring faults can quickly stabilize and often become nearly vertical at depth. We use the well-monitored 2018 collapse sequence at Kı̄lauea as a case study. Our model can produce many features of Kı̄lauea seismic and geodetic observations, except for a significant amount of interseismic slip, which cannot be readily explained with simple rate-and-state friction parameterizations.
Global water systems are facing unprecedented pressures, including climate change-driven drought and escalating flood risk, environmental contamination, and over allocation. Water management and governance typically lack integration across spatial scales, including relationships between surface and ground water systems. They also routinely ignore connectivity across temporal scales, including the need for intergenerational water planning. As a global and interdisciplinary group of scientists, we seek to highlight how power and scale dynamics influence and determine water outcomes. We argue that attending to complex water systems challenges requires understanding the function and influence of power at different temporal and spatial scales. Building this understanding is key to designing multi-scalar, reflexive, and pluralistic policy solutions that avoid ineffective or unintended outcomes. We use a co-learning process to reveal important lessons for the challenge of interdisciplinary research and set a pluralist agenda for understanding power and scale in future water governance.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1734","usgsCitation":"Macpherson, E., Cuppari, R.I., Kagawa-Viviani, A., Brause, H., Brewer, W.A., Grant, W.E., Herman-Mercer, N.M., Livneh, B., Neupane, K.R., Petach, T.N., Peters, C.N., Wang, H., Pahl-Wostl, C., and Wheater, H., 2024, Setting a pluralist agenda for water governance: Why power and scale matter: WIREs Water, v. 11, no. 5, e1734, 15 p., https://doi.org/10.1002/wat2.1734.","productDescription":"e1734, 15 p.","ipdsId":"IP-155130","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":439541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1734","text":"Publisher Index Page"},{"id":433723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Macpherson, Elizabeth 0000-0003-1021-9930","orcid":"https://orcid.org/0000-0003-1021-9930","contributorId":344139,"corporation":false,"usgs":false,"family":"Macpherson","given":"Elizabeth","email":"","affiliations":[{"id":82302,"text":"University of Canterbury, Australia","active":true,"usgs":false}],"preferred":false,"id":912946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuppari, Rosa I. 0000-0003-3530-3100","orcid":"https://orcid.org/0000-0003-3530-3100","contributorId":344140,"corporation":false,"usgs":false,"family":"Cuppari","given":"Rosa","email":"","middleInitial":"I.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":912947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagawa-Viviani, Aurora","contributorId":220317,"corporation":false,"usgs":false,"family":"Kagawa-Viviani","given":"Aurora","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":912948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brause, Holly 0000-0001-8187-0144","orcid":"https://orcid.org/0000-0001-8187-0144","contributorId":344141,"corporation":false,"usgs":false,"family":"Brause","given":"Holly","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":912949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, William A.","contributorId":344142,"corporation":false,"usgs":false,"family":"Brewer","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":912950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, William E","contributorId":344143,"corporation":false,"usgs":false,"family":"Grant","given":"William","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":912951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - 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2024 - Human-induced range expansions result in a recent hybrid zone between sister species of ducks","interactions":[],"lastModifiedDate":"2024-12-03T15:53:22.638174","indexId":"70261237","displayToPublicDate":"2024-05-21T09:45:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19845,"text":"Genes","active":true,"publicationSubtype":{"id":10}},"title":"Human-induced range expansions result in a recent hybrid zone between sister species of ducks","docAbstract":"Landscapes are consistently under pressure from human-induced ecological change, often resulting in shifting species distributions. For some species, changing the geographical breadth of their niche space results in matching range shifts to regions other than those in which they are formally found. In this study, we employ a population genomics approach to assess potential conservation issues arising from purported range expansions into the south Texas Brush Country of two sister species of ducks: mottled (Anas fulvigula) and Mexican (Anas diazi) ducks. Specifically, despite being non-migratory, both species are increasingly being recorded outside their formal ranges, with the northeastward and westward expansions of Mexican and mottled ducks, respectively, perhaps resulting in secondary contact today. We assessed genetic ancestry using thousands of autosomal loci across the ranges of both species, as well as sampled Mexican- and mottled-like ducks from across overlapping regions of south Texas. First, we confirm that both species are indeed expanding their ranges, with genetically pure Western Gulf Coast mottled ducks confirmed as far west as La Salle county, Texas, while Mexican ducks recorded across Texas counties near the USA–Mexico border. Importantly, the first confirmed Mexican × mottled duck hybrids were found in between these regions, which likely represents a recently established contact zone that is, on average, ~100 km wide. We posit that climate- and land use-associated changes, including coastal habitat degradation coupled with increases in artificial habitats in the interior regions of Texas, are facilitating these range expansions. Consequently, continued monitoring of this recent contact event can serve to understand species’ responses in the Anthropocene, but it can also be used to revise operational survey areas for mottled ducks.
","language":"English","publisher":"MDPI","doi":"10.3390/genes15060651","usgsCitation":"Lavretsky, P., Kraai, K.J., Butler, D., Morel, J., VonBank, J.A., Marty, J., Musni, V., and Collins, D.P., 2024, Human-induced range expansions result in a recent hybrid zone between sister species of ducks: Genes, v. 15, no. 6, 651, 14 p., https://doi.org/10.3390/genes15060651.","productDescription":"651, 14 p.","ipdsId":"IP-165217","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/genes15060651","text":"Publisher Index Page"},{"id":464702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.51801409968338,\n 18.105055938989082\n ],\n [\n -98.23606276845551,\n 20.94682562807757\n ],\n [\n -98.99482250457537,\n 25.413556548372497\n ],\n [\n -108.33542913416464,\n 32.31430457829886\n ],\n [\n -111.30962819176408,\n 31.344467563434847\n ],\n [\n -110.82294325795338,\n 27.959293954216704\n ],\n [\n -105.20005232741126,\n 23.469705815107915\n ],\n [\n -102.261941302797,\n 19.967599758419176\n ],\n [\n -99.26175108623583,\n 18.635300283765147\n ],\n [\n -96.51801409968338,\n 18.105055938989082\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.05408997359565,\n 19.5722333158932\n ],\n [\n -96.74496110814287,\n 23.611052999962567\n ],\n [\n -96.13442852219013,\n 27.53152192312328\n ],\n [\n -89.70091259998338,\n 28.332959017073236\n ],\n [\n -88.31589391965052,\n 28.99890150920689\n ],\n [\n -90.0751788983542,\n 30.352615199997118\n ],\n [\n -96.28510028867241,\n 29.51731654141355\n ],\n [\n -97.90507342752646,\n 27.012640404773265\n ],\n [\n -98.02396450268334,\n 21.89756844574356\n ],\n [\n -96.05408997359565,\n 19.5722333158932\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lavretsky, Philip","contributorId":60542,"corporation":false,"usgs":true,"family":"Lavretsky","given":"Philip","email":"","affiliations":[],"preferred":false,"id":920036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraai, Kevin J.","contributorId":346855,"corporation":false,"usgs":false,"family":"Kraai","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, David","contributorId":346859,"corporation":false,"usgs":false,"family":"Butler","given":"David","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morel, James","contributorId":346860,"corporation":false,"usgs":false,"family":"Morel","given":"James","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VonBank, Jay Alan 0000-0002-4319-4998","orcid":"https://orcid.org/0000-0002-4319-4998","contributorId":305827,"corporation":false,"usgs":true,"family":"VonBank","given":"Jay","email":"","middleInitial":"Alan","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":920040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marty, Joseph","contributorId":346861,"corporation":false,"usgs":false,"family":"Marty","given":"Joseph","email":"","affiliations":[{"id":83000,"text":"U.S. Fish and Wildlife Service, Southwest Region - 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Resources","active":true,"usgs":false}],"preferred":false,"id":901675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":901678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269881,"text":"70269881 - 2024 - Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","interactions":[],"lastModifiedDate":"2025-08-05T14:16:09.86975","indexId":"70269881","displayToPublicDate":"2024-05-21T09:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","docAbstract":"Global climate change has altered the timing of seasonal events (i.e., phenology) for a diverse range of biota. Within and among species, however, the degree to which alterations in phenology match climate variability differ substantially. To better understand factors driving these differences, we evaluated variation in timing of nesting of eight Arctic-breeding shorebird species at 18 sites over a 23-year period. We used the Normalized Difference Vegetation Index as a proxy to determine the start of spring (SOS) growing season and quantified relationships between SOS and nest initiation dates as a measure of phenological responsiveness. Among species, we tested four life history traits (migration distance, seasonal timing of breeding, female body mass, expected female reproductive effort) as species-level predictors of responsiveness. For one species (Semipalmated Sandpiper), we also evaluated whether responsiveness varied across sites. Although no species in our study completely tracked annual variation in SOS, phenological responses were strongest for Western Sandpipers, Pectoral Sandpipers, and Red Phalaropes. Migration distance was the strongest additional predictor of responsiveness, with longer-distance migrant species generally tracking variation in SOS more closely than species that migrate shorter distances. Semipalmated Sandpipers are a widely distributed species, but adjustments in timing of nesting relative to variability in SOS did not vary across sites, suggesting that different breeding populations of this species were equally responsive to climate cues despite differing migration strategies. Our results unexpectedly show that long-distance migrants are more sensitive to local environmental conditions, which may help them to adapt to ongoing changes in climate.
Recent surface ship multibeam surveys of the Sur Pockmark Field, offshore Central California, reveal >5,000 pockmarks in an area that is slated to host a wind farm, between 500- and 1,500-m water depth. Extensive fieldwork was conducted to characterize the seafloor environment and its recent geologic history, including visual observations with remotely operated vehicles, sediment core sampling, and high-resolution, near-bottom Chirp and multibeam surveys collected with autonomous underwater vehicles to capture the morphology and stratigraphy of the pockmarks. No evidence of high methane concentrations in sediments, chemosynthetic biological communities, or methane-derived diagenetic byproducts was found. Chirp data and sediment cores showed alternating layers of slowly accumulating hemipelagic drapes interrupted by more reflective turbidite horizons that extend throughout the pockmark field and beyond. Chirp data showed multiple episodes of lateral migration over time in some of the pockmarks in association with erosion and infilling events. Laterally continuous turbidite horizons that overlay erosional surfaces indicated that pockmark migration occurred synchronously in multiple pockmarks separated by tens of kilometers. These shifts are presumed to be the result of asymmetrical erosion of the pockmark flanks caused by passing sediment gravity flows. While some pockmarks occur in chains, most are not clustered or randomly spaced but are regularly dispersed within the pockmark field. We hypothesize that intermittent, unconfined sediment gravity flows occurring over at least the last 280,000 years are the source of the regionally continuous turbidite deposits and the mechanism that maintained the regularly dispersed pockmarks.
Integrating host movement and pathogen data is a central issue in wildlife disease ecology that will allow for a better understanding of disease transmission. We examined how adult female mule deer (Odocoileus hemionus) responded behaviorally to infection with chronic wasting disease (CWD). We compared movement and habitat use of CWD-infected deer (n = 18) to those that succumbed to starvation (and were CWD-negative by ELISA and IHC; n = 8) and others in which CWD was not detected (n = 111, including animals that survived the duration of the study) using GPS collar data from two distinct populations collared in central Wyoming, USA during 2018–2022. CWD and predation were the leading causes of mortality during our study (32/91 deaths attributed to CWD and 27/91 deaths attributed to predation). Deer infected with CWD moved slower and used lower elevation areas closer to rivers in the months preceding death compared with uninfected deer that did not succumb to starvation. Although CWD-infected deer and those that died of starvation moved at similar speeds during the final months of life, CWD-infected deer used areas closer to streams with less herbaceous biomass than starved deer. These behavioral differences may allow for the development of predictive models of disease status from movement data, which will be useful to supplement field and laboratory diagnostics or when mortalities cannot be quickly retrieved to assess cause-specific mortality. Furthermore, identifying individuals who are sick before predation events could help to assess the extent to which disease mortality is compensatory with predation. Finally, infected animals began to slow down around 4 months prior to death from CWD. Our approach for detecting the timing of infection-induced shifts in movement behavior may be useful in application to other disease systems to better understand the response of wildlife to infectious disease.