{"pageNumber":"378","pageRowStart":"9425","pageSize":"25","recordCount":165271,"records":[{"id":70230983,"text":"70230983 - 2022 - Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","interactions":[],"lastModifiedDate":"2022-06-01T15:23:31.059169","indexId":"70230983","displayToPublicDate":"2022-04-06T06:54:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","docAbstract":"

Anaerobic digestion has been suggested as an intervention to attenuate antibiotic resistance genes (ARGs) in livestock manure but supporting data have typically been collected at laboratory scale. Few studies have quantified ARG fate during full-scale digestion of livestock manure. We sampled untreated manure and digestate from seven full-scale mesophilic dairy manure digesters to assess ARG fate through each system. Samples were collected biweekly from December through August (i.e., winter, spring, and summer; n = 235 total) and analyzed by quantitative polymerase chain reaction for intI1, erm(B), sul1, tet(A), and tet(W). Concentrations of intI1, sul1, and tet(A) decreased during anaerobic digestion, but their removal was less extensive than expected based on previous laboratory studies. Removal for intI1 during anaerobic digestion equaled 0.28 ± 0.03 log10 units (mean ± SE), equivalent to only 48% removal and notable given intI1’s role in horizontal gene transfer and multiple resistance. Furthermore, tet(W) concentrations were unchanged during anaerobic digestion (p > 0.05), and erm(B) concentrations increased by 0.52 ± 0.03 log10 units (3.3-fold), which is important given erythromycin's status as a critically important antibiotic for human medicine. Seasonal log10 changes in intI1, sul1, and tet(A) concentrations were ≥50% of corresponding log10 removals by anaerobic digestion, and variation in ARG and intI1 concentrations among digesters was quantitatively comparable to anaerobic digestion effects. These results suggest that mesophilic anaerobic digestion may be limited as an intervention for ARGs in livestock manure and emphasize the need for multiple farm-level interventions to attenuate antibiotic resistance.

","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20350","usgsCitation":"Burch, T., Firnstahl, A.D., Spencer, S.K., Larson, R.A., and Borchardt, M.A., 2022, Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities: Journal of Environmental Quality, v. 51, no. 3, p. 352-363, https://doi.org/10.1002/jeq2.20350.","productDescription":"12 p.","startPage":"352","endPage":"363","ipdsId":"IP-133713","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20350","text":"Publisher Index Page"},{"id":399881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":841746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":841748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Rebecca A.","contributorId":290761,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":62490,"text":"University of Wisconsin, Department of Biological Systems Engineering","active":true,"usgs":false}],"preferred":false,"id":841749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":841750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230510,"text":"70230510 - 2022 - Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","interactions":[],"lastModifiedDate":"2022-04-14T11:35:53.794119","indexId":"70230510","displayToPublicDate":"2022-04-06T06:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","docAbstract":"

Groundwater discharge is an important mechanism through which fresh water and associated solutes are delivered to the ocean. Permafrost environments have traditionally been considered hydrogeologically inactive, yet with accelerated climate change and permafrost thaw, groundwater flow paths are activating and opening subsurface connections to the coastal zone. While warming has the potential to increase land-sea connectivity, sea-level change has the potential to alter land-sea hydraulic gradients and enhance coastal permafrost thaw, resulting in a complex interplay that will govern future groundwater discharge dynamics along Arctic coastlines. Here, we use a recently developed permafrost hydrological model that simulates variable-density groundwater flow and salinity-dependent freeze-thaw to investigate the impacts of sea-level change and land and ocean warming on the magnitude, spatial distribution, and salinity of coastal groundwater discharge. Results project both an increase and decrease in discharge with climate change depending on the rate of warming and sea-level change. Under high warming and low sea-level rise scenarios, results show up to a 58% increase in coastal groundwater discharge by 2100 due to the formation of a supra-permafrost aquifer that enhances freshwater delivery to the coastal zone. With higher rates of sea-level rise, the increase in discharge due to warming is reduced to 21% as sea-level rise decreased land-sea hydraulic gradients. Under lower warming scenarios for which supra-permafrost groundwater flow was not established, discharge decreased by up to 26% between 1980 and 2100 for high sea-level rise scenarios and increased only 8% under low sea-level rise scenarios. Thus, regions with higher warming rates and lower rates of sea-level change (e.g. northern Nunavut, Canada) will experience a greater increase in discharge than regions with lower warming rates and higher rates of sea-level change. The magnitude, location and salinity of discharge have important implications for ecosystem function, water quality, and carbon dynamics in coastal zones.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6085","usgsCitation":"Guimond, J., Mohammad, A., Walvoord, M.A., Bense, V.F., and Kurylyk, B.L., 2022, Sea-level rise and warming mediate coastal groundwater discharge in the Arctic: Environmental Research Letters, v. 17, 045027, 11 p., https://doi.org/10.1088/1748-9326/ac6085.","productDescription":"045027, 11 p.","ipdsId":"IP-138042","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6085","text":"Publisher Index Page"},{"id":398724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammad, Aaron","contributorId":266044,"corporation":false,"usgs":false,"family":"Mohammad","given":"Aaron","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":840610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":840594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230184,"text":"fs20223019 - 2022 - Florida and Landsat","interactions":[],"lastModifiedDate":"2023-01-21T15:54:35.338352","indexId":"fs20223019","displayToPublicDate":"2022-04-05T13:11:48","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3019","displayTitle":"Florida and Landsat","title":"Florida and Landsat","docAbstract":"

More than 21 million people call Florida home, but many more visit the peninsula each year—including a record 131 million in 2019. Residents and tourists enjoy the State’s warm weather and varied attractions amid incredibly diverse biological and natural resources. Numerous lakes and rivers, and 8,400 miles of ocean shoreline, play a prominent role, as do unique habitats like the Everglades, which are home to protected species such as the Florida manatee (Trichechus manatus latirostris), American crocodile (Crocodylus acutus), and Florida panther (Puma concolor couguar). The State also supports cattle, sugarcane, and citrus production—along with nearly one-half of the tree species in the United States.

A changing climate is expected to bring rising sea levels and more extreme weather events. In a State where the average elevation is 100 feet above sea level, climate change could affect everything from urban shores and beaches to agriculture and forests. In addition, as cities grow, more land cover tends to shift from natural vegetation to impervious surfaces such as pavement, which can add to environmental risks such as flooding.

Landsat can help Florida’s agencies, organizations, and residents monitor the State’s fragile landscapes and plan for a resilient future. Here are just a few examples of how Landsat benefits Florida.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223019","usgsCitation":"U.S. Geological Survey, 2022, Florida and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3019, 2 p., https://doi.org/10.3133/fs20223019.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-130663","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":411874,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223019/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":411847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3019/fs20223019.pdf","text":"Report","size":"2.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3019"},{"id":411848,"rank":3,"type":{"id":25,"text":"Version 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\"}}]}","edition":"Version 1.0: April 5, 2022; Version 1.1: January 13, 2023","contact":"

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U.S. Geological Survey
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","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-05","revisedDate":"2023-01-13","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":210377,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":839404,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230202,"text":"70230202 - 2022 - Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","interactions":[],"lastModifiedDate":"2022-04-05T15:38:17.139919","indexId":"70230202","displayToPublicDate":"2022-04-05T10:28:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","title":"Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","docAbstract":"

The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult Alewife Alosa pseudoharengus as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeastern USA. We also evaluated broadscale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats, including sea surface temperature, North Atlantic Oscillation index, and Gulf Stream index. Run timing metrics of initiation, median (an indicator of peak run timing), end, and duration were found to vary among sites. Although most sites showed negligible shifts towards earlier timing, statistically significant changes were detected in three systems. Overall, winter sea surface temperature, spring and fall transition dates, and annual run size were the strongest predictors of run initiation and median dates, while a combination of within-season and seasonal-lag effects influenced run end and duration timing. Disparate results observed across the 12 spawning runs suggest that regional environmental processes were not consistent drivers of phenology and local environmental and ecological conditions may be more important. Additional years of data to extend time series and monitoring of Alewife timing and movements in nearshore habitats may provide important information about staging behaviors just before adults transition between ocean and freshwater habitats.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10198","usgsCitation":"Dalton, R.M., Sheppard, J.J., Finn, J., Jordaan, A., and Staudinger, M., 2022, Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 14, no. 2, e10198, 17 p., https://doi.org/10.1002/mcf2.10198.","productDescription":"e10198, 17 p.","ipdsId":"IP-112539","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10198","text":"Publisher Index Page"},{"id":398120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalton, Rebecca M.","contributorId":289643,"corporation":false,"usgs":false,"family":"Dalton","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":839541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheppard, John J.","contributorId":200171,"corporation":false,"usgs":false,"family":"Sheppard","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":270782,"corporation":false,"usgs":false,"family":"Finn","given":"John T.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":839543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordaan, Adrian","contributorId":240665,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":839544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":839545,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237757,"text":"70237757 - 2022 - Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","interactions":[],"lastModifiedDate":"2022-10-21T15:27:22.011609","indexId":"70237757","displayToPublicDate":"2022-04-05T10:21:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","docAbstract":"

Aqueous transport of mercury (Hg) across the landscape is closely linked to dissolved organic matter (DOM). Both quantity and quality of DOM affect Hg mobility, as well as the formation and transport of toxic methylmercury (MeHg), but only a limited number of field studies have investigated Hg and MeHg with respect to specific DOM components. We investigated these interactions at the 41-ha forested W-9 catchment at Sleepers River, Vermont, which has a long history of mercury and other biogeochemical research. We examined spatial and temporal patterns of filtered Hg fractions and dissolved organic carbon (DOC) concentration, DOM quality, and major solutes at 12 stream sites within W-9 and the downstream W-3 gage (837 ha) over five sampling campaigns including a large (79 mm) fall storm, spring snowmelt, and three seasonally contrasting base flow periods. Filtered total Hg (THg), MeHg, and DOC concentrations increased in order base flow < snowmelt < fall storm, except that MeHg remained at baseflow levels during snowmelt. Ranges of median concentrations across sites for the five campaigns were THg, <0.2–4.1 ng L−1; MeHg, <0.03–0.45 ng L−1; and DOC, 0.8–14.0 mg L−1. Humic-like DOM fluorescence components, as determined by parallel factor analysis (PARAFAC), dominated the fluorescence across sites and sampling campaigns. THg correlated strongly (r > 0.94) with these humic components, but even more strongly with bulk DOC and absorbance at 254 nm (UV254; r > 0.96), and less strongly with protein-like DOM (0.7 < r < 0.9). MeHg correlated in the same order but less strongly with humic- (0.8 < r < 0.9) and protein-like (0.6 < r < 0.8) DOM. MeHg increased in summer, potentially in response to enhanced microbial production in warmer periods. MeHg formation may have been linked to protein-like DOM, but its transport was linked to humic-like DOM.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14572","usgsCitation":"Shanley, J.B., Taylor, V., Ryan, K.A., Chalmers, A., Perdrial, J., and Stubbins, A., 2022, Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA: Hydrological Processes, v. 36, no. 5, e14572, 17 p., https://doi.org/10.1002/hyp.14572.","productDescription":"e14572, 17 p.","ipdsId":"IP-124934","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":408612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.05866635329214,\n 44.34647865583793\n ],\n [\n -72.40758066011205,\n 44.34647865583793\n ],\n [\n -72.40758066011205,\n 44.188052738709075\n ],\n [\n -72.05866635329214,\n 44.188052738709075\n ],\n [\n -72.05866635329214,\n 44.34647865583793\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Vivien F.","contributorId":296971,"corporation":false,"usgs":false,"family":"Taylor","given":"Vivien F.","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":855460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":298370,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230186,"text":"sir20225028 - 2022 - Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","interactions":[],"lastModifiedDate":"2022-04-14T15:49:32.631296","indexId":"sir20225028","displayToPublicDate":"2022-04-05T09:50:00","publicationYear":"2022","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":"2022-5028","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in Sag Harbor on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","docAbstract":"

The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Sag Harbor, an embayment complex on the northern shore of the south fork of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.

Analysis revealed that the most substantial source of fecal contamination to Sag Harbor was discharge from sites draining ponds and wetlands, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Human markers were detected in all four samples at the Sag Harbor Sewage Treatment Plant Outfall site but were associated with low fecal coliform concentrations, indicating that the sewage treatment plant is not a likely source of fecal contamination to the embayment. The Ligonee Brook Culvert, Paynes Creek near Marjorie Lane, and Otter Pond Culvert sites were identified as locations that contribute fecal contamination to Sag Harbor. These three locations had high fecal coliform bacteria concentrations in the summer, one of which was positive for canine microbial source tracking markers (Ligonee Brook Culvert), and another positive for waterfowl markers (Paynes Creek near Marjorie Lane). The absence of fecal coliform bacteria and human microbial source tracking markers in groundwater samples indicates that water from septic systems does not influence the harbor; however, elevated fecal coliform bacteria concentrations were not often detected. Further, the sandy sediment alongside Sag Harbor is unlikely to contribute fecal coliform bacteria when resuspended in the water column through tidal shifts or boat activity.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225028","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2022, Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5028, 17 p., https://doi.org/10.3133/sir20225028.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129683","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":398006,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and Methodology for a Study To Identify Fecal Contamination Sources Using Microbial Source Tracking in Seven Embayments on Long Island, New York"},{"id":398104,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225028/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":398001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5028/coverthb.jpg"},{"id":398002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5028"},{"id":398003,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.XML"},{"id":398004,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5028/images/"},{"id":398005,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"USGS water data for the nation"}],"country":"United States","state":"New York","city":"Sag Harbor","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.31269836425781,\n 40.98896902507167\n ],\n [\n -72.27458953857422,\n 40.98896902507167\n ],\n [\n -72.27458953857422,\n 41.0102160917684\n ],\n [\n -72.31269836425781,\n 41.0102160917684\n ],\n [\n -72.31269836425781,\n 40.98896902507167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839413,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230217,"text":"70230217 - 2022 - Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","interactions":[],"lastModifiedDate":"2025-02-10T21:22:17.746379","indexId":"70230217","displayToPublicDate":"2022-04-05T09:36:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10535,"text":"Journal of Disaster Prevention and Management","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","docAbstract":"

Purpose

The 2019 Global Assessment Report on Disaster Risk Reduction (GAR) cites earthquakes as the most damaging natural hazard globally, causing billions of dollars of damage and killing thousands of people. Earthquakes have the potential to drastically impact physical, social and economic landscapes; to reduce this risk, earthquake early warning (EEW) systems have been developed. However, these technical EEW systems do not operate in a vacuum; the inequities in social systems, along with the needs of diverse populations, must be considered when developing these systems and their associated communication campaigns.

Design/methodology/approach

This article reviews aspects of social vulnerability as they relate to ShakeAlert, the EEW system for the USA. The authors identified two theories (relationship management theory and mute group theory) to inform self-reflective questions for agencies managing campaigns for EEW systems, which can assist in the development of more inclusive communication practices. Finally, the authors suggest this work contributes to important conversations about diversity, equity and inclusion (DEI) issues within early warning systems and earthquake preparedness campaigns in general.

Findings

To increase inclusivity, Macnamara (2012) argues that self-reflective questioning while analyzing perspective, philosophy and approaches for a campaign can help. Specific to EEW campaigns, developers may find self-reflective questions a useful approach to increase inclusion. These questions are guided by two theories and are explored in the paper.

Research limitations/implications

Several research limitations exist. First, this work explores two theories to develop a combined theoretical model for self-reflective questions. Further research is required to determine if this approach and the combination of these two theories have adequately informed the development of the reflective questions.

Orginality/value

The authors could find little peer-reviewed work examining DEI for EEW systems, and ShakeAlert in particular. While articles on early warning systems exist that explore aspects of this, EEW and ShakeAlert, with its very limited time frames for warnings, creates unique challenges.

","language":"English","publisher":"Emerald Publishing","doi":"10.1108/DPM-03-2021-0090","usgsCitation":"Jenkins, M.R., McBride, S., Morgoch, M., and Smith, H., 2022, Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA: Journal of Disaster Prevention and Management, v. 31, no. 1, p. 79-91, https://doi.org/10.1108/DPM-03-2021-0090.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-127651","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":398110,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":448218,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1108/dpm-03-2021-0090","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"West Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.2880859375,\n 48.545705491847464\n ],\n [\n -124.3212890625,\n 46.195042108660154\n ],\n [\n -125.0244140625,\n 42.97250158602597\n ],\n [\n -124.62890625,\n 41.409775832009565\n ],\n [\n -124.98046874999999,\n 40.38002840251183\n ],\n [\n -120.84960937499999,\n 33.90689555128866\n ],\n [\n -117.861328125,\n 32.76880048488168\n ],\n [\n -117.20214843749999,\n 32.39851580247402\n ],\n [\n -116.05957031249999,\n 32.65787573695528\n ],\n [\n -116.93847656250001,\n 34.016241889667015\n ],\n [\n -119.70703125,\n 35.10193405724606\n ],\n [\n -123.22265625000001,\n 40.413496049701955\n ],\n [\n -122.87109375,\n 41.902277040963696\n ],\n [\n -123.31054687499999,\n 43.16512263158296\n ],\n [\n -122.73925781250001,\n 45.73685954736049\n ],\n [\n -121.5087890625,\n 48.980216985374994\n ],\n [\n -123.662109375,\n 48.951366470947725\n ],\n [\n -125.2880859375,\n 48.545705491847464\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Mariah Ramona","contributorId":289669,"corporation":false,"usgs":true,"family":"Jenkins","given":"Mariah","email":"","middleInitial":"Ramona","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara","contributorId":350763,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":926946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgoch, Meredith","contributorId":269657,"corporation":false,"usgs":false,"family":"Morgoch","given":"Meredith","email":"","affiliations":[],"preferred":false,"id":839579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Hollie","contributorId":269656,"corporation":false,"usgs":false,"family":"Smith","given":"Hollie","email":"","affiliations":[],"preferred":false,"id":839580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230223,"text":"70230223 - 2022 - Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later","interactions":[],"lastModifiedDate":"2022-05-13T15:03:09.694181","indexId":"70230223","displayToPublicDate":"2022-04-05T09:19:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later","docAbstract":"

Riparian trees and their annual growth rings can be used to reconstruct drought histories related to streamflow. Because the death of individual trees reduces competition for survivors, however, tree-ring chronologies based only on surviving trees may underestimate drought impacts. This problem can be addressed by calculating productivity at the stand scale to account for tree mortality and establishment. In the semi-arid Great Basin in the western United States, we calculated riparian wood production from 1946 to 2016 along a stream where most flow has been removed by a diversion pipeline since 1961. The water table was found to be generally below the root zone of cottonwoods (Populus angustifolia and P. angustifolia × trichocarpa) in the pipeline-dewatered reach but within it in reference reaches. To reconstruct forest productivity through time, we separately combined measurements of tree-ring basal area increment with either changing forest area from aerial photos or a census of cross-dated living and dead cottonwoods. Both approaches revealed productivity declines in the dewatered reach relative to adjacent reference reaches, and the decline accelerated in the 2000s. Tree-ring narrowing resulted in divergence between the dewatered reach and one reference reach within 5 years after diversion. However, the dewatered reach did not diverge from the other reference reach until 40 years later, when an unprecedented early 2000s atmospheric drought coupled with diversion to cause extensive cottonwood mortality. We conclude that dendrochronological investigations of forest response to environmental stress should incorporate stand dynamics and that the full impacts of flow diversion can be delayed for decades.

","language":"English","publisher":"Wiley","doi":"10.1002/eco.2408","usgsCitation":"Schook, D.M., Friedman, J.M., Hoover, J.D., Rice, S.E., Thaxton, R.D., and Cooper, D.J., 2022, Riparian forest productivity decline initiated by streamflow diversion then amplified by atmospheric drought 40 years later: Ecohydrology, v. 15, no. 3, e2408, 14 p., https://doi.org/10.1002/eco.2408.","productDescription":"e2408, 14 p.","ipdsId":"IP-134136","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448223,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2408","text":"Publisher Index Page"},{"id":398106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin National Park, Pole Canyon, Snake Creek, Snake Range, Snake Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.36767578124999,\n 38.85815687709717\n ],\n [\n -114.13284301757812,\n 38.85815687709717\n ],\n [\n -114.13284301757812,\n 38.9396506365778\n ],\n [\n -114.36767578124999,\n 38.9396506365778\n ],\n [\n -114.36767578124999,\n 38.85815687709717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":839582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":839583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Jamie D.","contributorId":238180,"corporation":false,"usgs":false,"family":"Hoover","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Steven E.","contributorId":238179,"corporation":false,"usgs":false,"family":"Rice","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thaxton, Richard D.","contributorId":238181,"corporation":false,"usgs":false,"family":"Thaxton","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":839586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, David J.","contributorId":196510,"corporation":false,"usgs":false,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13017,"text":"Department of Forest and Rangeland Stewardship, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":839587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230200,"text":"ofr20221035 - 2022 - California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3 — Benthic habitat characterization offshore Morro Bay, California","interactions":[],"lastModifiedDate":"2022-08-23T19:18:44.059405","indexId":"ofr20221035","displayToPublicDate":"2022-04-05T09:14:35","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1035","displayTitle":"California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 3—Benthic Habitat Characterization Offshore Morro Bay, California","title":"California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3 — Benthic habitat characterization offshore Morro Bay, California","docAbstract":"

Coastal and Marine Ecological Classification Standard (CMECS) geoform, substrate, and biotic component geographic information system (GIS) products were developed for the U.S. Exclusive Economic Zone (U.S. EEZ) of south-central California in the region of Santa Lucia Bank motivated by interest in development of offshore wind-energy capacity and infrastructure. The Bureau of Ocean Energy Management (BOEM), in coordination with the State of California and many other members of the California Task Force, issued calls for information in 2018 for the study area offshore of Morro Bay, California. The study area is in depths of 500 to 1,200 meters (m) and adjacent to a decommissioned nuclear power plant with a developed electric grid connection, and in an area of high wind resource. BOEM is the lead agency responsible for planning and leasing in the U.S. EEZ and funded this project to assess baseline conditions of, and the potential effects on, the seafloor environment. This project, carried out by the U.S. Geological Survey (USGS), resulted in three reports: one on biological analysis of seafloor video data, one on analysis of the geologic framework and hazards, and this report on seafloor habitat. The study area consists of 8,424 square kilometers (km2) of multibeam echo sounder (MBES) data acquired during five surveys from 2016 to 2019. Remotely operated vehicle (ROV) video was acquired in 2019 to supervise the classification of the MBES data into habitats. Derivatives of the MBES data were classified into 16 unique biotopes, 6 substrate types, 28 modifier groups, and 22 geoforms. The study area substrate is predominantly soft sediment (mud and fine sand) covering 7,804 km2 (92.7 percent) of the area. Mixed substrate areas on rocky banks, channel scarps, and the shelf break comprise 404 km2 (4.8 percent) of the study area. Hard substrate areas are found predominantly on the tops and flanks of banks and on bank ridges that separate canyons incising the banks. Hard substrates comprise 211 km2 of the study area (2.5 percent). After the bathymetry and backscatter raster images (rasters) were classified, manual editing was also done to remove noise artifacts. This effort was not completely successful and there are numerous erroneous small areas in the rasters that have been passed on to the CMECS polygon product. Nearly 120,000 annotations of organisms and their habitat were made from 25 video transects selected from 185 hours of ROV video. In total, 2,714 km2 of seafloor were successfully assigned to biotopes. Some biotopes were assigned to separate areas spatially distant from the transects that define the biotope. Expected relations between physical habitat and biota such as the number of species and the substrate induration and rugosity were verified. Slope is typically a predictive variable and was used in the classification of habitat, but the ground truth used for biotic component analysis included very little steeply sloping area. Ground-truth ROV operations were reduced by the sea state; additional ground truth could improve the biotic results and increase confidence in the spatial distribution of classifications reported here.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221035","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management, National Oceanic and Atmospheric Administration, and Monterey Bay Aquarium Research Institute","programNote":"Bureau of Ocean Energy Management OCS Study BOEM 2021–045","usgsCitation":"Cochrane, G.R., Kuhnz, L.A. Gilbane, L., Dartnell, P., Walton, M.A.L., and Paull, C.K., 2022, California Deepwater Investigations and Groundtruthing (Cal DIG) I, volume 3—Benthic habitat characterization offshore Morro Bay, California: U.S. Geological Survey Open-File Report 2022–1035 [also released as Bureau of Ocean Energy Management OCS Study BOEM 2021–045], 18 p., https://doi.org/10.3133/ofr20221035.","productDescription":"Report: vi, 18 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-129519","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":398057,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QQZ27U","text":"Multibeam echo sounder, video observation, and derived benthic habitat data offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project","description":"Cochrane, G.R., Kuhnz, L.A., Gilbane, L., Dartnell, P., and Walton, M.A., 2022, Multibeam echo sounder, video observation, and derived benthic habitat data offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project: U.S. Geological Survey data release, https://doi.org/10.5066/P9QQZ27U."},{"id":398055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1035/coverthb.jpg"},{"id":398056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1035/ofr20221035.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","city":"Morro Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.48431396484375,\n 34.863397850419524\n ],\n [\n -120.9210205078125,\n 35.574682600980914\n ],\n [\n -121.31103515625,\n 35.94243575255426\n ],\n [\n -121.45660400390624,\n 36.04465753921525\n ],\n [\n -122.36846923828125,\n 35.628279555648845\n ],\n [\n -122.09930419921876,\n 34.66032236481892\n ],\n [\n -120.48431396484375,\n 34.863397850419524\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":839527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuhnz, Linda A. 0000-0002-8359-3803","orcid":"https://orcid.org/0000-0002-8359-3803","contributorId":289638,"corporation":false,"usgs":false,"family":"Kuhnz","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":true,"id":839528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbane, Lisa 0000-0001-9170-5388","orcid":"https://orcid.org/0000-0001-9170-5388","contributorId":289639,"corporation":false,"usgs":false,"family":"Gilbane","given":"Lisa","email":"","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":true,"id":839529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":839530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walton, Maureen A. L. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":211025,"corporation":false,"usgs":true,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":839531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":839532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230269,"text":"70230269 - 2022 - Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams","interactions":[],"lastModifiedDate":"2022-04-06T14:19:09.796775","indexId":"70230269","displayToPublicDate":"2022-04-05T09:14:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams","docAbstract":"

Although bull trout (Salvelinus confluentus) and tailed frogs (Ascaphus montanus) have co-existed in forested Pacific Northwest streams for millennia, these iconic cold-water specialists are experiencing rapid environmental change caused by a warming climate and enhanced wildfire activity. Our goal was to inform future conservation by examining the habitat associations of each species and conditions that facilitate co-occupancy. We repurposed data from previous studies in the northern Rocky Mountains to assess the efficacy of bull trout electrofishing surveys for determining the occurrence of tailed frogs and the predictive capacity of habitat covariates derived from in-stream measurements and geospatial sources to model distributions of both species. Electrofishing reliably detected frog presence (89.2% rate). Both species were strongly associated with stream temperature and flow regime characteristics, and less responsive to riparian canopy cover, slope, and other salmonids. Tailed frogs were also sensitive to wildfire, with occupancy probability peaking around 80 years after a fire. Co-occupancy was most probable in locations with low-to-moderate frequencies of high winter flow events, few other salmonids, a low base-flow index, and intermediate years since fire. The distributions of these species appear to be sensitive to environmental conditions that are changing this century in forests of the northern Rocky Mountains. The amplification of climate-driven effects after wildfire may prove to be particularly problematic in the future. Habitat differences between these two species, considered to be headwater specialists, suggest that conservation measures designed for one may not fully protect the other. Additional studies involving future climate and wildfire scenarios are needed to assess broader conservation strategies and the potential to identify refuge streams where both species are likely to persist, or complementary streams where each could exist separately into the future.

","language":"English","publisher":"MDPI","doi":"10.3390/w14071162","usgsCitation":"Pilliod, D., Arkle, R.S., Thurow, R.F., and Isaak, D.J., 2022, Hydroclimatic conditions, wildfire, and species assemblages influence co-occurrence of bull trout and tailed frogs in northern Rocky Mountain streams: Water, v. 14, no. 7, 1162, 20 p., https://doi.org/10.3390/w14071162.","productDescription":"1162, 20 p.","ipdsId":"IP-137594","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":448226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14071162","text":"Publisher Index Page"},{"id":398215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"northern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.20214843749999,\n 43.77109381775651\n ],\n [\n -111.26953125,\n 43.77109381775651\n ],\n [\n -111.26953125,\n 48.951366470947725\n ],\n [\n -117.20214843749999,\n 48.951366470947725\n ],\n [\n -117.20214843749999,\n 43.77109381775651\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurow, Russel F","contributorId":289775,"corporation":false,"usgs":false,"family":"Thurow","given":"Russel","email":"","middleInitial":"F","affiliations":[{"id":62244,"text":"USDA Forest Service Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":839762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaak, Dan J","contributorId":289776,"corporation":false,"usgs":false,"family":"Isaak","given":"Dan","email":"","middleInitial":"J","affiliations":[{"id":62244,"text":"USDA Forest Service Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":839763,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230314,"text":"70230314 - 2022 - Evaluating sources of bias in pedigree-based estimates of breeding population size","interactions":[],"lastModifiedDate":"2022-07-08T15:41:48.075522","indexId":"70230314","displayToPublicDate":"2022-04-05T08:47:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating sources of bias in pedigree-based estimates of breeding population size","docAbstract":"

Applications of genetic-based estimates of population size are expanding, especially for species for which traditional demographic estimation methods are intractable due to the rarity of adult encounters. Estimates of breeding population size (NS) are particularly amenable to genetic-based approaches as the parameter can be estimated using pedigrees reconstructed from genetic data gathered from discrete juvenile cohorts, therefore eliminating the need to sample adults in the population. However, a critical evaluation of how genotyping and sampling effort influence bias in pedigree reconstruction, and how these biases subsequently influence estimates of NS, is needed to evaluate the efficacy of the approach under a range of scenarios. We simulated a model system to understand the interactive effects of genotyping and sampling effort on error in genetic pedigrees reconstructed from the program COLONY. We then evaluated how errors in pedigree reconstruction influenced bias and precision in estimates of NS using three different rarefaction estimators. Results indicated that pedigree error can be minimal when adequate genetic data are available, such as when juvenile sample sizes are large and/or individuals are genotyped at many informative loci. However, even in cases for which data are limited, using results of the simulation analysis to understand the magnitude and sources of bias in reconstructed pedigrees can still be informative when estimating NS. We applied results of the simulation analysis to evaluate NˆS for a population of federally endangered Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in the Delaware River, USA. Our results indicated that NS is likely to be three orders of magnitude lower compared with historic breeding population sizes, which is a considerable advancement in our understanding of the population status of Atlantic sturgeon in the Delaware River. Our analyses are broadly applicable in the design and interpretation of studies seeking to estimate NS and can help to guide conservation decisions when ecological uncertainty is high. The utility of these results is expected to grow as rapid advances in genetic technologies increase the popularity of genetic population monitoring and estimation.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2602","usgsCitation":"White, S.L., Sard, N.M., Brundage III, H., Johnson, R.L., Lubinski, B.A., Eackles, M.S., Park, I.A., Fox, D.A., and Kazyak, D., 2022, Evaluating sources of bias in pedigree-based estimates of breeding population size: Ecological Applications, v. 32, no. 5, e2602, 13 p., https://doi.org/10.1002/eap.2602.","productDescription":"e2602, 13 p.","ipdsId":"IP-114638","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2602","text":"Publisher Index Page"},{"id":398310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.794677734375,\n 39.614152077002664\n ],\n [\n -74.542236328125,\n 39.614152077002664\n ],\n [\n -74.542236328125,\n 41.40153558289846\n ],\n [\n -75.794677734375,\n 41.40153558289846\n ],\n [\n -75.794677734375,\n 39.614152077002664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sard, Nicholas M","contributorId":289872,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas","email":"","middleInitial":"M","affiliations":[{"id":48660,"text":"SUNY Oswego","active":true,"usgs":false}],"preferred":false,"id":839958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brundage III, Harold M","contributorId":289873,"corporation":false,"usgs":false,"family":"Brundage III","given":"Harold M","affiliations":[{"id":62274,"text":"Environmental Research and Consulting Inc","active":true,"usgs":false}],"preferred":false,"id":839959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Park, Ian A","contributorId":289876,"corporation":false,"usgs":false,"family":"Park","given":"Ian","email":"","middleInitial":"A","affiliations":[{"id":62277,"text":"DNREC","active":true,"usgs":false}],"preferred":false,"id":839963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":839964,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":839965,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70241857,"text":"70241857 - 2022 - Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience","interactions":[],"lastModifiedDate":"2023-03-29T12:27:44.143585","indexId":"70241857","displayToPublicDate":"2022-04-05T07:25:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience","docAbstract":"

Decision-makers in inland fisheries management must balance ecologically and socially palatable objectives for ecosystem services within financial or physical constraints. Climate change has transformed the potential range of ecosystem services available. The Resist-Accept-Direct (RAD) framework offers a foundation for responding to climate-induced ecosystem modification; however, ecosystem trajectories and current practices must be understood to improve future decisions. Using Wisconsin's diverse inland fisheries as a case study, management strategies for recreational and subsistence fisheries in response to climate change were reviewed within the RAD framework. Current strategies largely focus on resist actions, while future strategies may need to shift toward accept or direct actions. A participatory adaptive management framework and co-production of policies between state and tribal agencies could prioritise lakes for appropriate management action, with the goal of providing a landscape of diverse fishing opportunities. This knowledge co-production represents a process of social learning requiring substantial investments of funding and time.

","language":"English","publisher":"Wiley","doi":"10.1111/fme.12549","usgsCitation":"Feiner, Z.S., Shultz, A.D., Sass, G., Trudeau, A., Mitro, M.G., Dassow, C.J., Latzka, A.W., Isermann, D.A., Maitland, B.M., Homola, J.J., Embke, H.S., and Preul, M., 2022, Resist-accept-direct (RAD) considerations for climate change adaptation in fisheries: The Wisconsin experience: Fisheries Management and Ecology, v. 29, no. 4, p. 346-363, https://doi.org/10.1111/fme.12549.","productDescription":"18 p.","startPage":"346","endPage":"363","ipdsId":"IP-135329","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12549","text":"Publisher Index 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\"}}]}","volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Feiner, Zachary S.","contributorId":150494,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":867953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shultz, Aaron D.","contributorId":303739,"corporation":false,"usgs":false,"family":"Shultz","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":867954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":244466,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":867955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trudeau, Ashley","contributorId":245555,"corporation":false,"usgs":false,"family":"Trudeau","given":"Ashley","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":867956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitro, Matthew G.","contributorId":167784,"corporation":false,"usgs":false,"family":"Mitro","given":"Matthew","email":"","middleInitial":"G.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":867957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dassow, Colin J.","contributorId":293206,"corporation":false,"usgs":false,"family":"Dassow","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":867958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Latzka, Alexander W.","contributorId":303740,"corporation":false,"usgs":false,"family":"Latzka","given":"Alexander","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":867959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":867960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Maitland, Bryan M. 0000-0002-4491-5064","orcid":"https://orcid.org/0000-0002-4491-5064","contributorId":216559,"corporation":false,"usgs":false,"family":"Maitland","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":867961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":867962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":867963,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Preul, Michael","contributorId":303742,"corporation":false,"usgs":false,"family":"Preul","given":"Michael","email":"","affiliations":[{"id":65893,"text":"Mole Lake Band of Lake Superior Chippewa Indians","active":true,"usgs":false}],"preferred":false,"id":867964,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70230434,"text":"70230434 - 2022 - Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach","interactions":[],"lastModifiedDate":"2022-07-07T16:48:08.451905","indexId":"70230434","displayToPublicDate":"2022-04-05T07:07:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach","docAbstract":"

1. Large-scale, long-term biodiversity monitoring is essential to conservation, land management, and identifying threats to biodiversity. However, multispecies surveys are prone to various types of observation error, including false positive/negative detection, and misclassification, where a species is thought to have been encountered but not correctly identified. Previous methods assume an imperfect classifier produces species-level classifications, but in practice, particularly with human observers, we may end up with extraspecific classifications including `unknown', morphospecies designations, and taxonomic identifications coarser than species. Disregarding these types of species misclassification in biodiversity monitoring datasets can bias estimates of ecologically important quantities such as demographic ratess, occurrence, and species richness.

2. Here we present a joint classification-occupancy model that accounts for species non-detection and misclassification. Our framework accommodates extinction and colonization dynamics, allows for additional uncertain `morphospecies' designations, and makes use of individual specimens with known species identities in a semi-supervised setting. We compare the performance of our model to a classification-only model that discards information about occupancy and encounter rate. We illustrate our model with an empirical case study of the carabid beetle (Carabidae) community at the National Ecological Observatory Network Niwot Ridge Mountain Research Station, near Boulder, CO, USA. We also use simulations to evaluate model performance through validation metrics where varying fractions of the data are confirmed.

3. The model supported imperfect classifier accuracy and favored certain true species classifications strongly for some morphospecies. The model outperformed (e.g., precision) the reduced model that discarded occupancy information, and these differences were most pronounced for abundant species.

4. Spatial and temporal dynamics from modeled occupancy and encounter rates may inform species misclassification probability, but this idea has not yet been tested. Our statistical framework explores this opportunity, and can be applied to datasets with imperfect species detection and classification, limited verification data, and non-species classifications.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13858","usgsCitation":"Spiers, A., Royle, A., Torrens, C., and Joseph, M., 2022, Estimating species misclassification with occupancy dynamics and encounter rates: A semi-supervised, individual-level approach: Methods in Ecology and Evolution, v. 13, no. 7, p. 1528-1539, https://doi.org/10.1111/2041-210X.13858.","productDescription":"12 p.","startPage":"1528","endPage":"1539","ipdsId":"IP-127556","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13858","text":"Publisher Index Page"},{"id":398632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398615,"type":{"id":15,"text":"Index Page"},"url":"https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13858"}],"volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Spiers, Anna","contributorId":290178,"corporation":false,"usgs":false,"family":"Spiers","given":"Anna","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":840413,"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":840414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torrens, Christa","contributorId":290179,"corporation":false,"usgs":false,"family":"Torrens","given":"Christa","email":"","affiliations":[{"id":62371,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":840415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joseph, Maxwell","contributorId":290181,"corporation":false,"usgs":false,"family":"Joseph","given":"Maxwell","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":840416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70235749,"text":"70235749 - 2022 - Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission","interactions":[],"lastModifiedDate":"2022-08-17T11:49:24.032807","indexId":"70235749","displayToPublicDate":"2022-04-05T06:47:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission","docAbstract":"

Prairie dogs in the western United States experience periodic epizootics of plague, caused by the flea-borne bacterial pathogen Yersinia pestis. An early study indicated that Oropsylla hirsuta (Baker), often the most abundant prairie dog flea vector of plague, seldom transmits Y. pestis by the classic blocked flea mechanism. More recently, an alternative early-phase mode of transmission has been proposed as the driving force behind prairie dog epizootics. In this study, using the same flea infection protocol used previously to evaluate early-phase transmission, we assessed the vector competence of O. hirsuta for both modes of transmission. Proventricular blockage was evident during the first two weeks after infection and transmission during this time was at least as efficient as early-phase transmission 2 d after infection. Thus, both modes of transmission likely contribute to plague epizootics in prairie dogs.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jme/tjac021","usgsCitation":"Miarinjara, A., Eads, D.A., Bland, D.M., Matchett, M.R., Biggins, D.E., and Hinnebusch, B.J., 2022, Reevaluation of the role of blocked Oropsylla hirsuta prairie dog fleas (Siphonaptera: Ceratophyllidae) in Yersinia pestis (Enterobacterales: Enterobacteriaceae) transmission: Journal of Medical Entomology, v. 59, no. 3, p. 1053-1059, https://doi.org/10.1093/jme/tjac021.","productDescription":"7 p.","startPage":"1053","endPage":"1059","ipdsId":"IP-135601","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjac021","text":"Publisher Index Page"},{"id":405252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Miarinjara, Adelaide","contributorId":295322,"corporation":false,"usgs":false,"family":"Miarinjara","given":"Adelaide","email":"","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":849180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, David M.","contributorId":295324,"corporation":false,"usgs":false,"family":"Bland","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":849182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinnebusch, B. Joseph","contributorId":295326,"corporation":false,"usgs":false,"family":"Hinnebusch","given":"B.","email":"","middleInitial":"Joseph","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":849184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230418,"text":"70230418 - 2022 - Microbially induced anaerobic oxidation of magnetite to maghemite in a hydrocarbon-contaminated aquifer","interactions":[],"lastModifiedDate":"2022-04-12T11:37:08.934453","indexId":"70230418","displayToPublicDate":"2022-04-05T06:33:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Microbially induced anaerobic oxidation of magnetite to maghemite in a hydrocarbon-contaminated aquifer","docAbstract":"

Iron mineral transformations occurring in hydrocarbon-contaminated sites are linked to the biodegradation of the hydrocarbons. At a hydrocarbon-contaminated site near Bemidji, Minnesota, USA, measurements of magnetic susceptibility (MS) are useful for monitoring the natural attenuation of hydrocarbons related to iron cycling. However, a transient MS, previously observed at the site, remains poorly understood and the iron mineral phases acting as reactants and products associated with this MS perturbation remain largely unknown. To address these unknowns, we acquired mineral magnetism measurements, including hysteresis loops, backfield curves, and isothermal remanent magnetizations on sediment core samples retrieved from the site and magnetite-filled mineral packets installed within the aquifer. Our data show that the core samples and magnetite packs display decreasing magnetization with time and that this loss in magnetization is accompanied by increasing bulk coercivity consistent with decreased average grain size and/or partial oxidation. Low-temperature magnetometry on all samples displayed behavior consistent with magnetite, but samples within the plume also show evidence of maghemitization. This interpretation is supported by the occurrence of shrinkage cracks on the surface of the grains imaged via scanning electron microscopy. Magnetite transformation to maghemite typically occurs under oxic conditions, here, we propose that maghemitization occurs within the anoxic portions of the plume via microbially mediated anaerobic oxidation. Mineral dissolution also occurs within the plume. Microorganisms capable of such anaerobic oxidation have been identified within other areas at the Bemidji site, but additional microbiological studies are needed to link specific anaerobic iron oxidizers with this loss of magnetization.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006560","usgsCitation":"Ohenhen, L.O., Feinberg, J.M., Slater, L., Ntarlagiannis, D., Cozzarelli, I.M., Rios-Sanchez, M., Isaacson, C.W., Stricker, A., and Atekwana, E.A., 2022, Microbially induced anaerobic oxidation of magnetite to maghemite in a hydrocarbon-contaminated aquifer: Journal of Geophysical Research: Biogeosciences, v. 127, no. 4, e2021JG006560, 24 p., https://doi.org/10.1029/2021JG006560.","productDescription":"e2021JG006560, 24 p.","ipdsId":"IP-130598","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":448240,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021jg006560","text":"External Repository"},{"id":398528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.07568359375,\n 47.368594345213374\n ],\n [\n -94.68017578125,\n 47.368594345213374\n ],\n [\n -94.68017578125,\n 47.64318610543658\n ],\n [\n -95.07568359375,\n 47.64318610543658\n ],\n [\n -95.07568359375,\n 47.368594345213374\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ohenhen, Leonard O.","contributorId":290168,"corporation":false,"usgs":false,"family":"Ohenhen","given":"Leonard","email":"","middleInitial":"O.","affiliations":[{"id":62367,"text":"Department of Earth Sciences, University of Delaware, Newark, DE, USA","active":true,"usgs":false}],"preferred":false,"id":840390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feinberg, Joshua M.","contributorId":194010,"corporation":false,"usgs":false,"family":"Feinberg","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":840391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":840392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":840393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":840394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rios-Sanchez, Miriam","contributorId":290169,"corporation":false,"usgs":false,"family":"Rios-Sanchez","given":"Miriam","email":"","affiliations":[{"id":62368,"text":"Center for Sustainability Studies, Bemidji State University, Bemidji, MN, USA","active":true,"usgs":false}],"preferred":false,"id":840395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isaacson, Carl W.","contributorId":290170,"corporation":false,"usgs":false,"family":"Isaacson","given":"Carl","email":"","middleInitial":"W.","affiliations":[{"id":62368,"text":"Center for Sustainability Studies, Bemidji State University, Bemidji, MN, USA","active":true,"usgs":false}],"preferred":false,"id":840396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stricker, Alexis","contributorId":290171,"corporation":false,"usgs":false,"family":"Stricker","given":"Alexis","email":"","affiliations":[{"id":62369,"text":"Institute for Rock Magnetism, Department of Earth & Environmental Sciences, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":840397,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Atekwana, Estella A.","contributorId":255452,"corporation":false,"usgs":false,"family":"Atekwana","given":"Estella","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":840398,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230197,"text":"70230197 - 2022 - Environmental filtering controls soil biodiversity in wet tropical ecosystems","interactions":[],"lastModifiedDate":"2022-04-04T16:56:34.650419","indexId":"70230197","displayToPublicDate":"2022-04-04T11:40:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10531,"text":"Soil Biology Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Environmental filtering controls soil biodiversity in wet tropical ecosystems","docAbstract":"

The environmental factors controlling soil biodiversity along resource gradients remain poorly understood in wet tropical ecosystems. Aboveground biodiversity is expected to be driven by changes in nutrient availability in these ecosystems, however, much less is known about the importance of nutrient availability in driving soil biodiversity. Here, we combined a cross-continental soil survey across tropical regions with a three decades' field experiment adding nitrogen (N) and phosphorus (P) (100 kg N ha−1y−1 and 100 kg P ha−1y−1) to Hawai'ian tropical forests with contrasting substrate ages (300 and 4,100,000 years) to investigate the influence of nutrient availability to explain the biodiversity of soil bacteria, fungi, protists, invertebrates and key functional genes. We found that soil biodiversity was driven by soil acidification during long-term pedogenesis and across environmental gradients, rather than by nutrient limitations. In fact, our results showed that experimental N additions caused substantial acidification in soils from Hawai'i. These declines in pH were related to large decreases in soil biodiversity from tropical ecosystems in four continents. Moreover, the microbial activity did not change in response to long-term N and P additions. We concluded that environmental filtering drives the biodiversity of multiple soil organisms, and that the acidification effects associated with N additions can further create substantial undesired net negative effects on overall soil biodiversity in naturally tropical acid soils. This knowledge is integral for the understanding and management of soil biodiversity in tropical ecosystems globally.


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Obafemi Awolowo University, Ile-Ife, Nigeria","active":true,"usgs":false}],"preferred":false,"id":839511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verma, Jay Prakash","contributorId":289631,"corporation":false,"usgs":false,"family":"Verma","given":"Jay","email":"","middleInitial":"Prakash","affiliations":[{"id":62207,"text":"Plant-Microbe Interaction Lab, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India","active":true,"usgs":false}],"preferred":false,"id":839512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mukherjee, Arpan","contributorId":289632,"corporation":false,"usgs":false,"family":"Mukherjee","given":"Arpan","email":"","affiliations":[{"id":62208,"text":"7Plant-Microbe Interaction Lab, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India","active":true,"usgs":false}],"preferred":false,"id":839513,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Penaloza-Bojaca, Gabriel F.","contributorId":289633,"corporation":false,"usgs":false,"family":"Penaloza-Bojaca","given":"Gabriel","email":"","middleInitial":"F.","affiliations":[{"id":62209,"text":"Laboratório de Sistemática Vegetal, Departamento de Botânica, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Pampulha, Belo Horizonte, 31270-901, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":839514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Teixido, Alberto L.","contributorId":289634,"corporation":false,"usgs":false,"family":"Teixido","given":"Alberto","email":"","middleInitial":"L.","affiliations":[{"id":62210,"text":"Departamento de Botância e Ecologia, Instituto de Biociências, Universidade Federal de Mato Grosso, Av. Fernando Corrêa, 2367, Boa Esperança, Cuiabá, 78060-900, MT, Brazil","active":true,"usgs":false}],"preferred":false,"id":839515,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trivedi, Pankaj","contributorId":240760,"corporation":false,"usgs":false,"family":"Trivedi","given":"Pankaj","email":"","affiliations":[],"preferred":false,"id":839516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"He, Ji-Zheng","contributorId":240758,"corporation":false,"usgs":false,"family":"He","given":"Ji-Zheng","email":"","affiliations":[],"preferred":false,"id":839517,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hu, Hang-Wei","contributorId":240759,"corporation":false,"usgs":false,"family":"Hu","given":"Hang-Wei","email":"","affiliations":[],"preferred":false,"id":839518,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Png, Kenny","contributorId":289635,"corporation":false,"usgs":false,"family":"Png","given":"Kenny","email":"","affiliations":[{"id":62211,"text":"Department of Earth and Environmental Sciences, Michael Smith Building, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK; Asian School of the Environment, Nanyang Technological University, 50 Nanyang avenue, Singapore, 639798, Singapore","active":true,"usgs":false}],"preferred":false,"id":839519,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Delgado-Baquerizo, Manuel","contributorId":214645,"corporation":false,"usgs":false,"family":"Delgado-Baquerizo","given":"Manuel","email":"","affiliations":[{"id":39101,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":839520,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70230198,"text":"70230198 - 2022 - Insights into the geometry and evolution of the southern San Andreas Fault from geophysical data, southern California","interactions":[],"lastModifiedDate":"2022-04-04T16:40:01.185502","indexId":"70230198","displayToPublicDate":"2022-04-04T11:28:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Insights into the geometry and evolution of the southern San Andreas Fault from geophysical data, southern California","docAbstract":"Two new joint gravity-magnetic models in northern Coachella Valley provide additional evidence for a steep northeast dip of the Mission Creek strand of the southern San Andreas fault (southern California, USA). Gravity modeling indicates a steep northeast dip of the Banning fault in the upper 1–2 km in northern Coachella Valley. The Mission Creek strand and its continuation to the southeast (Coachella segment) coincide with the northeastern margin of a Cenozoic basin and are marked by prominent gravity and magnetic gradients that are consistent with these strands of the San Andreas fault having accommodated >160 km of right-lateral and 1–5 km of vertical displacement. These anomalies are best fit by a moderate to steep northeast dip. Such a geometry is further supported by seismicity, reflectivity, geodesy, and boundary-element modeling. We explore the possibility that these fault strands forming the margin of Coachella Valley were originally near vertical and have rotated into their present orientation by underplating of a localized high-velocity, lower-crustal prong within the Peninsular Ranges batholith. Reconstructions of San Andreas fault offset suggest that this crystalline body was translated into the San Gorgonio Pass area at the time of major fault reorganization at 1.1–1.3 Ma.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02378.1","usgsCitation":"Langenheim, V., and Fuis, G.S., 2022, Insights into the geometry and evolution of the southern San Andreas Fault from geophysical data, southern California: Geosphere, v. 18, no. 2, p. 458-475, https://doi.org/10.1130/GES02378.1.","productDescription":"18 p.","startPage":"458","endPage":"475","ipdsId":"IP-121599","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":448249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02378.1","text":"Publisher Index Page"},{"id":398021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley, San Andreas fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.838623046875,\n 29.83111376473715\n ],\n [\n -111.42333984375,\n 29.83111376473715\n ],\n [\n -111.42333984375,\n 34.813803317113155\n ],\n [\n -120.838623046875,\n 34.813803317113155\n ],\n [\n -120.838623046875,\n 29.83111376473715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":216217,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuis, Gary S. 0000-0002-3078-1544","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":204656,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230181,"text":"ofr20221016 - 2022 - Preliminary geologic map of early Miocene felsic eruptive centers in the Aquarius Mountains, west-central Arizona","interactions":[],"lastModifiedDate":"2026-03-27T19:54:00.201269","indexId":"ofr20221016","displayToPublicDate":"2022-04-04T10:09:33","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1016","displayTitle":"Preliminary Geologic Map of Early Miocene Felsic Eruptive Centers in the Aquarius Mountains, West-Central Arizona","title":"Preliminary geologic map of early Miocene felsic eruptive centers in the Aquarius Mountains, west-central Arizona","docAbstract":"

The first author, Gary S. Fuis, conducted this mapping in the summer of 1967 in partial fulfillment of the entry requirements into the Ph.D program of the Division of Geological and Planetary Sciences of the California Institute of Technology, Pasadena, Calif. The area mapped lies wholly within the Fort Rock Ranch, a private ranch spanning ~50 square miles in Mohave and Yavapai Counties, Arizona. Access to the ranch is limited, and it is uncertain whether a detailed geologic map of the Aquarius Mountains can be recreated today. Therefore, we are making this map available to the public in this Open-File Report.

The original mapping was compiled on an enlarged single aerial photograph at an approximate scale of 1:15,600. The second author, J. Luke Blair, photogrammetrically rectified the original map and added modern topography, which was not available at the time the original map was completed. Modern roads and drainages were also added, including I–40, built after the original map was completed. Both authors reformatted the original map using current USGS geologic map standards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221016","usgsCitation":"Fuis, G.S, and Blair, J.L., 2022, Preliminary geologic map of early Miocene felsic eruptive centers in the Aquarius Mountains, west-central Arizona: U.S. Geological Survey Open-File Report 2022-1016, scale 1:15,000, https://doi.org/10.3133/ofr20221016.","productDescription":"1 Sheet: 65.39 × 42.11 inches","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-123374","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501761,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112843.htm","linkFileType":{"id":5,"text":"html"}},{"id":397987,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1016/covrthb.jpg"},{"id":397988,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2022/1016/ofr20221016_sheet.pdf","size":"26 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"15000","country":"United States","state":"Arizona","otherGeospatial":"Aquarius Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.73046875,\n 34.86001735420488\n ],\n [\n -113.10,\n 34.86001735420488\n ],\n [\n -113.10,\n 35.3\n ],\n [\n -113.73046875,\n 35.3\n ],\n [\n -113.73046875,\n 34.86001735420488\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-04","noUsgsAuthors":false,"publicationDate":"2022-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blair, J. Luke 0000-0002-6980-6446 lblair@usgs.gov","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":4146,"corporation":false,"usgs":true,"family":"Blair","given":"J.","email":"lblair@usgs.gov","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839395,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237817,"text":"70237817 - 2022 - Modeling the impact of invasive species litter on conditions affecting its spread and potential regime shift","interactions":[],"lastModifiedDate":"2022-10-25T14:22:44.096982","indexId":"70237817","displayToPublicDate":"2022-04-04T09:13:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the impact of invasive species litter on conditions affecting its spread and potential regime shift","docAbstract":"

Many introduced plants pose invasion risks globally and threaten the biodiversity of native ecosystems. Such non-native plants can become invasive when they have advantages over native plants, such as having fewer natural enemies. Invasive plants often have the ability to alter ecosystem properties after they have become established, which can make it difficult to eliminate the invasive. In principle, this can cause a regime shift that may not be reversed through intense control efforts that increase mortality and reduce growth of the invasive species. Here we use spatially explicit agent-based modeling to simulate the invasion of an introduced tree species into a habitat occupied by a native species. The model describes an invasive tree with fast growth and high seed production and, in addition, produces litter that has a suppressive effect on native seedlings. These are properties, for example, shared by the invasive Melaleuca quinquenervia in southern Florida habitats. We use simulation modeling to test the following logical hypotheses: Partial suppression of native tree seedlings by the invasive tree's litter (1) will accelerate the spread of the invasive tree into native vegetation, (2) will impede efforts to control invasive spread through biocontrol, and (3) can cause a regime shift that is not reversed even if the biocontrol lowers invasive growth and reproduction to levels substantially lower than those of the native species. Additionally, (4) the earlier in the invasion biocontrol is introduced, the more effective it will be in reversing the invasion. The simulations support all four hypotheses. While these results highlight the potential for biocontrol of invasive tree species, our findings also suggest that successful elimination of positive litter feedbacks and invasive spread may critically depend on the timing of control efforts within the invasion process.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.109962","usgsCitation":"Lu, Y., DeAngelis, D.L., Xia, J., and Jiang, J., 2022, Modeling the impact of invasive species litter on conditions affecting its spread and potential regime shift: Ecological Modelling, v. 468, 109962, 15 p., https://doi.org/10.1016/j.ecolmodel.2022.109962.","productDescription":"109962, 15 p.","ipdsId":"IP-134210","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":408696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"468","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Yuanming","contributorId":298492,"corporation":false,"usgs":false,"family":"Lu","given":"Yuanming","email":"","affiliations":[{"id":35560,"text":"Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":855741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":855742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xia, Junfei","contributorId":298493,"corporation":false,"usgs":false,"family":"Xia","given":"Junfei","email":"","affiliations":[{"id":64593,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":855743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiang, Jiang","contributorId":191968,"corporation":false,"usgs":false,"family":"Jiang","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":855744,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230925,"text":"70230925 - 2022 - Space use and site fidelity of wintering whooping cranes on the Texas Gulf Coast","interactions":[],"lastModifiedDate":"2022-07-07T16:52:55.346919","indexId":"70230925","displayToPublicDate":"2022-04-04T08:28:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Space use and site fidelity of wintering whooping cranes on the Texas Gulf Coast","docAbstract":"

The Aransas-Wood Buffalo population (the only non-reintroduced, migratory population) of endangered whooping cranes (Grus americana) overwinters along the Texas Gulf Coast, USA. Understanding whooping crane space use on the wintering grounds reveals essential aspects of this species' ecology, which subsequently assists with conservation. Using global positioning system telemetry data from marked whooping cranes during 2009–2017, we fit continuous-time stochastic process models to describe movement and home range using autocorrelated kernel density estimation (AKDE) and explored variation in home range size in relation to age, sex, reproductive status, and drought conditions. We used the Bhattacharyya coefficient of overlap and distance between home range centroids to quantify site fidelity. We examined the effects of time between winter home ranges and the sex of the crane on site fidelity using Bayesian mixed-effects beta regression. Winter whooping crane 95% AKDE home range size averaged 30.1 ± 45.2 (SD) km2 (median = 14.3, range = 1.1–308.6). Home ranges of sub-adult females were approximately 2 times larger than those of sub-adult males or families. As drought worsened, home ranges typically expanded. Between consecutive years, the home ranges of an adult crane exhibited 68 ± 31% overlap (site fidelity), but fidelity to winter sites declined in subsequent winters. The overlap of adult home ranges with the nearest unrelated family averaged 33 ± 28%. As a whooping crane aged, overlap with its winter home range as a juvenile declined, regardless of sex. By 4 years of age, a whooping crane had approximately 14 ± 28% overlap with its juvenile winter home range. Limited evidence suggested male whooping cranes return to within 2 km of their juvenile home range by their fifth winter. Previous data obtained from aerial surveys led ecologists to assume that whooping crane families normally used small areas (~2 km2) and expressed persistent site fidelity. Our analyses showed <8% of families had home ranges ≤2 km2, with the average area 15 times greater, and waning site fidelity over time. Our work represents an analysis of whooping crane home ranges for this population, identifying past misconceptions of winter space use and resulting in better estimates of space requirements for future conservation efforts.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22226","usgsCitation":"Butler, M.J., Stewart, D., Harris, G.M., Bidwell, M., and Pearse, A.T., 2022, Space use and site fidelity of wintering whooping cranes on the Texas Gulf Coast: Journal of Wildlife Management, v. 86, no. 5, e22226, 17 p., https://doi.org/10.1002/jwmg.22226.","productDescription":"e22226, 17 p.","ipdsId":"IP-132895","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":399808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Aransas National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.327880859375,\n 27.858503954841247\n ],\n [\n -96.3006591796875,\n 27.858503954841247\n ],\n [\n -96.3006591796875,\n 28.420391085674304\n ],\n [\n -97.327880859375,\n 28.420391085674304\n ],\n [\n -97.327880859375,\n 27.858503954841247\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Butler, Matthew J","contributorId":239688,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":841649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":841650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Grant M","contributorId":290710,"corporation":false,"usgs":false,"family":"Harris","given":"Grant","email":"","middleInitial":"M","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":841651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bidwell, Mark T.","contributorId":139204,"corporation":false,"usgs":false,"family":"Bidwell","given":"Mark T.","affiliations":[{"id":12696,"text":"Environmental Canada","active":true,"usgs":false}],"preferred":false,"id":841652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841653,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250536,"text":"70250536 - 2022 - Increased attack rates and decreased incubation periods in raccoons with chronic wasting disease passaged through meadow voles","interactions":[],"lastModifiedDate":"2023-12-15T13:19:00.686284","indexId":"70250536","displayToPublicDate":"2022-04-04T07:17:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Increased attack rates and decreased incubation periods in raccoons with chronic wasting disease passaged through meadow voles","docAbstract":"

Chronic wasting disease (CWD) is a naturally-occurring neurodegenerative disease of cervids. Raccoons (Procyon lotor) and meadow voles (Microtus pennsylvanicus) have previously been shown to be susceptible to the CWD agent. To investigate the potential for transmission of the agent of CWD from white-tailed deer to voles and subsequently to raccoons, we intracranially inoculated raccoons with brain homogenate from a CWD-affected white-tailed deer (CWDWtd) or derivatives of this isolate after it had been passaged through voles 1 or 5 times. We found that passage of the CWDWtd isolate through voles led to a change in the biologic behavior of the CWD agent, including increased attack rates and decreased incubation periods in raccoons. A better understanding of the dynamics of cross-species transmission of CWD prions can provide insights into how these infectious proteins evolve in new hosts.

","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.3201/eid2804.210271","usgsCitation":"Moore, S.J., Carlson, C.M., Schneider, J., Johnson, C.J., and Greenlee, J.J., 2022, Increased attack rates and decreased incubation periods in raccoons with chronic wasting disease passaged through meadow voles: Emerging Infectious Diseases, v. 28, no. 4, 9 p., https://doi.org/10.3201/eid2804.210271.","productDescription":"9 p.","ipdsId":"IP-125727","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":448255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2804.210271","text":"Publisher Index Page"},{"id":423622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, S. Jo","contributorId":332509,"corporation":false,"usgs":false,"family":"Moore","given":"S.","email":"","middleInitial":"Jo","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":890318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Christina M. 0000-0002-4950-8273","orcid":"https://orcid.org/0000-0002-4950-8273","contributorId":332479,"corporation":false,"usgs":false,"family":"Carlson","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":79474,"text":"US Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":890319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, Jay R. 0000-0003-1772-2942","orcid":"https://orcid.org/0000-0003-1772-2942","contributorId":332510,"corporation":false,"usgs":false,"family":"Schneider","given":"Jay R.","affiliations":[{"id":79481,"text":"Retired from National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":890320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Christopher J. 0000-0003-4539-2581 cjjohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-4539-2581","contributorId":219534,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":890321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenlee, Justin J.","contributorId":171817,"corporation":false,"usgs":false,"family":"Greenlee","given":"Justin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":890322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243334,"text":"70243334 - 2022 - A geomorphic-process-based cellular automata model of colluvial wedge morphology and stratigraphy","interactions":[],"lastModifiedDate":"2023-05-09T12:18:16.040791","indexId":"70243334","displayToPublicDate":"2022-04-04T07:16:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"A geomorphic-process-based cellular automata model of colluvial wedge morphology and stratigraphy","docAbstract":"

The development of colluvial wedges at the base of fault scarps following normal-faulting earthquakes serves as a sedimentary record of paleoearthquakes and is thus crucial in assessing seismic hazard. Although there is a large body of observations of colluvial wedge development, connecting this knowledge to the physics of sediment transport can open new frontiers in our understanding. To explore theoretical colluvial wedge evolution, we develop a cellular automata model driven by the production and disturbance (e.g., bioturbative reworking) of mobile regolith and fault-scarp collapse. We consider both 90 and 60∘ dipping faults and allow the colluvial wedges to develop over 2000 model years. By tracking sediment transport time, velocity, and provenance, we classify cells into analogs for the debris and wash sedimentary facies commonly described in paleoseismic studies. High values of mobile regolith production and disturbance rates produce relatively larger and more wash-facies-dominated wedges, whereas lower values produced relatively smaller, debris-facies-dominated wedges. Higher lateral collapse rates lead to more debris facies relative to wash facies. Many of the modeled colluvial wedges fully developed within 2000 model years after the earthquake, with many being much faster when process rates are high. Finally, for scenarios with the same amount of vertical displacement, differently sized colluvial wedges developed depending on the rates of geomorphic processes and fault dip. A change in these variables, say by environmental change such as precipitation rates, could theoretically result in different colluvial wedge facies assemblages for the same characteristic earthquake rupture scenario. Finally, the stochastic nature of collapse events, when coupled with high disturbance, illustrates that multiple phases of colluvial deposition are theoretically possible for a single earthquake event.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/esurf-10-329-2022","usgsCitation":"Gray, H., DuRoss, C., Nicovich, S., and Gold, R.D., 2022, A geomorphic-process-based cellular automata model of colluvial wedge morphology and stratigraphy: Earth Surface Dynamics, v. 10, no. 2, p. 329-348, https://doi.org/10.5194/esurf-10-329-2022.","productDescription":"20 p.","startPage":"329","endPage":"348","ipdsId":"IP-126537","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":448259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-10-329-2022","text":"Publisher Index Page"},{"id":416854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":872076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicovich, Sylvia","contributorId":210054,"corporation":false,"usgs":false,"family":"Nicovich","given":"Sylvia","affiliations":[{"id":38060,"text":"Department of Earth Sciences, Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":872078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872079,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230939,"text":"70230939 - 2022 - Avian-associated Aspergillus fumigatus displays broad phylogenetic distribution, no evidence for host specificity, and multiple genotypes within epizootic events","interactions":[],"lastModifiedDate":"2024-09-16T16:28:45.081306","indexId":"70230939","displayToPublicDate":"2022-04-04T06:41:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10581,"text":"G3 Genes|Genomes|Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Avian-associated Aspergillus fumigatus displays broad phylogenetic distribution, no evidence for host specificity, and multiple genotypes within epizootic events","title":"Avian-associated Aspergillus fumigatus displays broad phylogenetic distribution, no evidence for host specificity, and multiple genotypes within epizootic events","docAbstract":"

Birds are highly susceptible to aspergillosis, which can manifest as a primary infection in both domestic and wild birds. Aspergillosis in wild birds causes mortalities ranging in scale from single animals to large-scale epizootic events. However, pathogenicity factors associated with aspergillosis in wild birds have not been examined. Specifically, it is unknown whether wild bird-infecting strains are host-adapted (i.e. phylogenetically related). Similarly, it is unknown whether epizootics are driven by contact with clonal strains that possess unique pathogenic or virulence properties, or by distinct and equally pathogenic strains. Here, we use a diverse collection of Aspergillus fumigatus isolates taken from aspergillosis-associated avian carcasses, representing 24 bird species from a wide geographic range, and representing individual bird mortalities as well as epizootic events. These isolates were sequenced and analyzed along with 130 phylogenetically diverse human clinical isolates to investigate the genetic diversity and phylogenetic placement of avian-associated A. fumigatus, the geographic and host distribution of avian isolates, evidence for clonal outbreaks among wild birds, and the frequency of azole resistance in avian isolates. We found that avian isolates were phylogenetically diverse, with no clear distinction from human clinical isolates, and no sign of host or geographic specificity. Avian isolates from the same epizootic events were diverse and phylogenetically distant, suggesting that avian aspergillosis is not contagious among wild birds and that outbreaks are likely driven by environmental spore loads or host comorbidities. Finally, all avian isolates were susceptible to Voriconazole and none contained the canonical azole resistance gene variants.

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Cecilia","contributorId":290717,"corporation":false,"usgs":false,"family":"Gutierrez-Perez","given":"Cecilia","email":"","affiliations":[{"id":62484,"text":"Dartmouth","active":true,"usgs":false}],"preferred":false,"id":841681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kordana, Nicole E.","contributorId":290718,"corporation":false,"usgs":false,"family":"Kordana","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":62484,"text":"Dartmouth","active":true,"usgs":false}],"preferred":false,"id":841682,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stajich, Jason E.","contributorId":225457,"corporation":false,"usgs":false,"family":"Stajich","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":41121,"text":"Environmental Genomics, Christian-Albrechts University, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":841683,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230444,"text":"70230444 - 2022 - Ancient winds, waves, and atmosphere in Gale Crater, Mars, inferred from sedimentary structures and wave modeling","interactions":[],"lastModifiedDate":"2022-04-26T12:21:30.20239","indexId":"70230444","displayToPublicDate":"2022-04-04T06:40:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"Ancient winds, waves, and atmosphere in Gale Crater, Mars, inferred from sedimentary structures and wave modeling","docAbstract":"

Wave modeling and analysis of sedimentary structures were used to evaluate whether four examples of symmetrical, reversing, or straight-crested bedforms in Gale crater sandstones are preserved wave ripples; deposition by waves would demonstrate that the lake was not covered by ice at that time. Wave modeling indicates that regardless of atmospheric density, winds that exceeded the threshold of aeolian sand transport could have generated waves capable of producing nearshore wave ripples in most grain sizes of sand.

Reversing 3-m-wavelength bedforms in the Kimberley formation are interpreted not as wave ripples but rather as large aeolian ripples that formed in an atmosphere approximately as thin as at present. These exhumed bedforms define many of the ridges at outcrops that appear striated in satellite images. At Kimberley these bedforms demonstrably underlie and therefore predate subaqueous beds, suggesting that a thin atmosphere existed at least temporarily before subaqueous deposition ceased in the crater.

The other three candidate wave ripples (Square Top, Hunda, and Voe) are consistent with modeled waves, but other origins cannot be excluded. The predominance of flat-laminated (non-rippled) beds in the lacustrine Murray formation suggests that some aspect of the lake was not conducive to formation or preservation of recognizable wave ripples. Water depths may generally have been too deep, lakebed sediment may have been too fine-grained, the lake may have been smaller than modeled, or the lake may have been covered by ice.

Plain Language Summary

Wave modeling and analysis of sedimentary structures were used to evaluate whether ancient lake deposits in Gale crater contain ripples formed by waves on the surface of the lake. Deposition by waves would show that the lake was not covered by ice at that time. Modeling shows that regardless of atmospheric density, winds capable of moving sand on land would generally have been strong enough to form waves that would produce ripples near shore. Large bedforms in the Kimberley formation are interpreted as ripples formed by the wind in an atmosphere similar to that of Mars today. These bedforms underlie and are older than other beds deposited in water, thereby showing that a thin atmosphere existed at least temporarily before deposition in water ceased in the crater. Three other candidate wave ripples are consistent with modeled waves, but other origins are possible. Thick sequences of sedimentary rock in Gale crater are flat-laminated rather than rippled, suggesting that some aspect of the lake was not favorable for their formation or preservation. Much of the lake may have been too deep or ice-covered, or the lake may have been smaller than modeled or had sediment too fine to form easily observed ripples.

","language":"English","publisher":"Wiley","doi":"10.1029/2021JE007162","usgsCitation":"Rubin, D., , L., Stevens, A.W., Lamb, M., Fedo, C., Grotzinger, J., Gupta, S., Stack, K., Vasavada, A., Banham, S., , B., Caravaca, G., Christian, J., Edgar, L.A., and Malin, M.C., 2022, Ancient winds, waves, and atmosphere in Gale Crater, Mars, inferred from sedimentary structures and wave modeling: Journal of Geophysical Research: Planets, v. 127, no. 4, e2021JE007162, 23 p., https://doi.org/10.1029/2021JE007162.","productDescription":"e2021JE007162, 23 p.","ipdsId":"IP-133767","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448268,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021je007162","text":"External Repository"},{"id":435894,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AA8WKP","text":"USGS data release","linkHelpText":"Modeling 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Consequently, the release of live baitfish is illegal in many jurisdictions, but little is known about compliance rates or angler motivations for illegal release. To assess the incidence of live baitfish release in Minnesota, USA, a state with significant live baitfish use and substantial recreational fisheries, we administered a mail survey to a random sample of 4,000 anglers who held a 2018-2019 annual fishing license and received 671 completed responses. To mitigate potential recall bias, we also administered 345 intercept surveys at waterbody access sites around the state to ask anglers about their current day’s behaviors. A total of 481 (72%) of the mail survey respondents reported that they used live baitfish and of those, 99 (20%) reported that they release their leftover live baitfish into the water at least some of the time. Of the anglers surveyed at waterbody access sites, 59 (19%) were using live baitfish on the day they were surveyed and of those, 11 (18%) released their leftover baitfish into the water. The reasons anglers provided for releasing their baitfish included convenience and their mistaken understanding that released baitfish benefit the recipient ecosystem. The potential for invasive species introductions through baitfish releases is high given the reported rate of baitfish releases. However, there is also significant opportunity for management interventions aimed at changing perceptions and providing convenient disposal alternatives to illegal release to reduce the risk presented by this pathway.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10747","usgsCitation":"McEachran, M., Mohr, A., Lindsay, T., Fulton, D.C., and Phelps, N., 2022, Patterns of live baitfish use and release among recreational anglers in a regulated landscape: North American Journal of Fisheries Management, v. 42, no. 2, p. 295-306, https://doi.org/10.1002/nafm.10747.","productDescription":"12 p.","startPage":"295","endPage":"306","ipdsId":"IP-135602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10747","text":"Publisher Index 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