{"pageNumber":"292","pageRowStart":"7275","pageSize":"25","recordCount":184769,"records":[{"id":70242617,"text":"70242617 - 2023 - Officially social: Developing a social media crisis communication strategy for USGS Volcanoes during the 2018 Kīlauea eruption","interactions":[],"lastModifiedDate":"2023-04-11T11:45:28.919158","indexId":"70242617","displayToPublicDate":"2023-03-23T06:41:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14236,"text":"Frontiers in Communication","active":true,"publicationSubtype":{"id":10}},"title":"Officially social: Developing a social media crisis communication strategy for USGS Volcanoes during the 2018 Kīlauea eruption","docAbstract":"

The USGS Volcano Science Center has a long history of science and crisis communication about volcanoes and their eruptions. Centered mainly on websites, email notifications, traditional media, and in-person interaction in the past, our toolkit has expanded in the last decade to include social media channels. This medium has allowed us to communicate with both long-standing and new audiences in new ways. In the process, social media communication has further developed trust in USGS researchers. In particular, the nearly 4-month-long 2018 eruption of Kīlauea volcano in the State of Hawaii necessitated the rapid development of a communication strategy that more deeply incorporated web and social media (Facebook and Twitter) channels to share critical eruption information. This was the first major volcanic eruption response where the USGS used official social media accounts as a significant form of public communication and outreach. These timely and conversive interactions furthered engagement with residents and reinforced the USGS as an authoritative and approachable voice on the eruption with U.S. and international audiences. In many cases, USGS Volcanoes' social media channels were also sampled directly by media outlets looking to provide current information, particularly by local reporters and citizen journalists. This helped disseminate scientific information directly to those who needed it and removed pressure from observatory scientists to respond to media requests. In short, the conversational tone and engaged and inquisitive online audience allowed the USGS Volcanoes' social media channels to act as a virtual community meeting, which nurtured a nearly continuous educational environment for both directly affected and distant members of the public. We present the history and details of this strategy here in hopes that it will benefit volcano observatories and other official agencies and crisis communicators.

","language":"English","publisher":"Frontiers","doi":"10.3389/fcomm.2023.976041","usgsCitation":"Stovall, W., Ball, J.L., Westby, E.G., Poland, M., Wilkins, A., and Mulliken, K.M., 2023, Officially social: Developing a social media crisis communication strategy for USGS Volcanoes during the 2018 Kīlauea eruption: Frontiers in Communication, v. 8, 976041, 21 p., https://doi.org/10.3389/fcomm.2023.976041.","productDescription":"976041, 21 p.","ipdsId":"IP-146314","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fcomm.2023.976041","text":"Publisher Index Page"},{"id":415562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.2962271394772,\n 19.467708020353953\n ],\n [\n -155.2962271394772,\n 19.2255083556511\n ],\n [\n -155.00521462611624,\n 19.2255083556511\n ],\n [\n -155.00521462611624,\n 19.467708020353953\n ],\n [\n -155.2962271394772,\n 19.467708020353953\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Stovall, Wendy K. 0000-0003-2518-2595","orcid":"https://orcid.org/0000-0003-2518-2595","contributorId":214673,"corporation":false,"usgs":true,"family":"Stovall","given":"Wendy K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Jessica L. 0000-0002-7837-8180 jlball@usgs.gov","orcid":"https://orcid.org/0000-0002-7837-8180","contributorId":205012,"corporation":false,"usgs":true,"family":"Ball","given":"Jessica","email":"jlball@usgs.gov","middleInitial":"L.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westby, Elizabeth G. 0000-0003-3494-8353","orcid":"https://orcid.org/0000-0003-3494-8353","contributorId":214674,"corporation":false,"usgs":true,"family":"Westby","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":869123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilkins, Aleeza 0000-0003-4356-153X awilkins@usgs.gov","orcid":"https://orcid.org/0000-0003-4356-153X","contributorId":169720,"corporation":false,"usgs":true,"family":"Wilkins","given":"Aleeza","email":"awilkins@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":869124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":869125,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70242917,"text":"70242917 - 2023 - Seed dispersal and tree legacies influence spatial patterns of plant invasion dynamics","interactions":[],"lastModifiedDate":"2023-04-24T11:40:01.575364","indexId":"70242917","displayToPublicDate":"2023-03-23T06:37:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5523,"text":"Frontiers in Applied Mathematics and Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Seed dispersal and tree legacies influence spatial patterns of plant invasion dynamics","docAbstract":"

Invasive plant species alter community dynamics and ecosystem properties, potentially leading to regime shifts. Here, the invasion of a non-native tree species into a stand of native tree species is simulated using an agent-based model. The model describes an invasive tree with fast growth and high seed production that produces litter with a suppressive effect on native seedlings, based loosely on Melaleuca quinquenervia, invasive to southern Florida. The effect of a biocontrol agent, which reduces the invasive tree's growth and reproductive rates, is included to study how effective biocontrol is in facilitating the recovery of native trees. Even under biocontrol, the invader has some advantages over native tree species, such as the ability to tolerate higher stem densities than the invaded species and its litter's seedling suppression effect. We also include a standing dead component of both species, where light interception from dead canopy trees influences neighboring tree demographics. The model is applied to two questions. The first is how the mean seedling dispersal rate affects the spread of the invading species into a pure stand of natives, assuming the same mean dispersal distance for both species. For assumed litter seedling suppression that roughly balances the fitness levels of the two species, which species dominates depends on the mean dispersal distance. The invader dominates at both very high and very low mean seedling dispersal distances, while the native tree dominates for dispersal distances in the intermediate range. The second question is how standing dead trees affect either the rate of spread of the invader or the rate of recovery of the native species. The legacy of standing dead invasive trees may delay the recovery of native vegetation. The results here are novel and show that agent-based modeling is essential in illustrating how the fine-scale modeling of local interactions of trees leads to effects at the population level.

","language":"English","publisher":"Frontiers","doi":"10.3389/fams.2023.1086781","usgsCitation":"Lu, Y., Xia, J., Magee, L.J., and DeAngelis, D., 2023, Seed dispersal and tree legacies influence spatial patterns of plant invasion dynamics: Frontiers in Applied Mathematics and Statistics, v. 9, 1086781, 13 p., https://doi.org/10.3389/fams.2023.1086781.","productDescription":"1086781, 13 p.","ipdsId":"IP-146473","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444116,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fams.2023.1086781","text":"Publisher Index Page"},{"id":416168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2023-03-23","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":870197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":870198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magee, Lukas J.","contributorId":304341,"corporation":false,"usgs":false,"family":"Magee","given":"Lukas","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":870199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870200,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241125,"text":"sir20225132 - 2023 - Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","interactions":[],"lastModifiedDate":"2026-02-24T18:04:17.753698","indexId":"sir20225132","displayToPublicDate":"2023-03-22T14:27:54","publicationYear":"2023","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":"2022-5132","displayTitle":"Evaluation of Potential Stresses and Hydrologic Conditions Driving Water-Level Fluctuations in Well ER-5-3-2, Frenchman Flat, Southern Nevada","title":"Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","docAbstract":"

Well ER-5-3-2 is part of a well network designed to monitor long-term water levels and radionuclide concentrations downgradient from underground nuclear tests that occurred in Frenchman Flat, an area of the U.S. Department of Energy Nevada National Security Site in southern Nevada. Interpretation of monitoring records for well ER-5-3-2 was confounded by previously unexplained water-level fluctuations in the well hydrograph. This study integrated geologic, hydrologic, and water-chemistry data to evaluate potential stresses and hydrologic conditions that likely affected the well ER-5-3-2 hydrograph. Numerical groundwater models were applied to evaluate four model scenarios: (1) wellbore leakage without recharge, (2) wellbore leakage with recharge, (3) equilibration to vertical heterogeneities between shallow (low transmissivity) and deep (higher transmissivity) carbonate zones, and (4) equilibration to lateral heterogeneities in carbonate rocks.

Meteoric recharge was not the cause of the 21-foot (ft) water-level rise in well ER-5-3-2 from 2001 to 2011 or the 4-ft decline from 2012 to 2016. Based on observed water-level fluctuations in nearby wells, the water-level rise and decline from recharge for these periods was less than 3 and 1 ft, respectively. The lateral-heterogeneity scenario is based on the assumption that the 21-ft water-level rise from 2001 to 2011 was a natural water-level reequilibration following the pumping-induced depressurization of a large volume of high transmissivity and low-storage carbonate rock that is surrounded by low transmissivity and high-storage carbonate rock. The lateral-heterogeneity scenario was discounted because simulated water levels cannot match the well ER-5-3-2 hydrograph. Underground nuclear testing and temperature effects were discounted based on hydraulic connections and water-temperature data.

Wellbore-leakage scenarios are based on the assumption that the water-level rise was sustained from leakage rates required to cause a localized mounding in the carbonate system near well ER-5-3-2, where the carbonate transmissivity is 530 square feet per day. Even though simulated and measured water levels compare favorably for scenarios of wellbore leakage with and without recharge, large volumes (178–184 million gallons) of groundwater from volcanic rocks would be required to leak into the carbonate system, which is not supported by water-chemistry data.

An alternative conceptualization of wellbore leakage is based on the assumption that the 21-ft water-level rise from 2001 to 2011 was sustained by the hydraulic disconnection of well ER-5-3-2 from the carbonate system. The disconnection occurred several months after a constant-rate test in well ER-5-3-2 when carbonate rocks were hydraulically disconnected from the well by either (1) the shifting of sloughed fill in the open hole or (2) the encrusting of carbonate precipitate in the well screen. The hydraulic disconnection effectively sealed the well and caused a 21-ft water-level rise from wellbore leakage during 2001–11. In this case, total wellbore leakage from 2001 to 2011 was about 50 gallons. The 4-ft water-level decline from 2012 to 2016 was conceptualized to have occurred from the slow breaking of the seal and reconnection of the well to the carbonate system. This alternative conceptualization of wellbore leakage was consistent with water-chemistry analyses because the computed wellbore leakage (50 gallons) was small relative to purged volumes (30,000–40,000 gallons) for sampling, and the water chemistry would not be expected to change.

The shallow-deep carbonate scenario provided another explanation for the well ER-5-3-2 hydrograph. This scenario is based on the assumption that well-construction effects and vertical heterogeneity of the carbonate system explain the ER-5-3-2 water-level trend. Well-construction effects are attributed to a temporary clogging of the open interval below the well screen that was opened during pumping events, which affected the hydraulic connection of deep transmissive carbonate rocks to the wellbore. The 21-ft water-level rise from 2001 to 2011 was a natural equilibration to shallow, low-transmissivity carbonate rocks during a period when the lower open interval was clogged. The 4-ft decline from 2012 to 2016 represents equilibration between the shallow and deep intervals, because of a partial unclogging of the connection between the two intervals. The low water levels from 2016 to 2021 resulted from pumping for sampling and an unclogging of the open interval so that the low head in the deep carbonate dominated the water level. Despite potential well-construction effects, from either a wellbore leakage or shallow-deep carbonate scenario, samples collected from well ER-5-3-2 are representative of the carbonate system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225132","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-EM0004969","usgsCitation":"Jackson, T.R., and Frus, R.J., 2023, Evaluation of potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada: U.S. Geological Survey Scientific Investigations Report 2022–5132, 35 p., https://doi.org/10.3133/sir20225132.","productDescription":"Report: viii, 35 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-139917","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":413963,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95C0NG5","text":"MODFLOW 6 models used to evaluate potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada","description":"Jackson, T.R., and Frus, R.J., 2023, MODFLOW 6 models used to evaluate potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, southern Nevada: U.S. Geological Survey data release, available at https://doi.org/10.5066/P95C0NG5."},{"id":500485,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114613.htm","linkFileType":{"id":5,"text":"html"}},{"id":413973,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225132/full"},{"id":413962,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5132/images"},{"id":413961,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5132/sir20225132.xml"},{"id":413960,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5132/sir20225132.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":413959,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5132/covrthb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Frenchman Flat","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.05668643871044,\n 36.549912612507626\n ],\n [\n -116.05668643871044,\n 35.84481987187543\n ],\n [\n -115.27945901304658,\n 35.84481987187543\n ],\n [\n -115.27945901304658,\n 36.549912612507626\n ],\n [\n -116.05668643871044,\n 36.549912612507626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Tracie R. 0000-0001-8553-0323","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":215365,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":206261,"corporation":false,"usgs":true,"family":"Frus","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866170,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241485,"text":"sir20235018 - 2023 - Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020","interactions":[],"lastModifiedDate":"2026-03-02T22:07:49.228967","indexId":"sir20235018","displayToPublicDate":"2023-03-22T14:13:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5018","displayTitle":"Selected Anthropogenic Contaminants in Groundwater, Papio-Missouri River Natural Resources District, Eastern Nebraska, 1992–2020","title":"Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020","docAbstract":"

A study in cooperation with the Papio-Missouri River Natural Resources District was completed in 2019 to determine the concentration of contaminants of emerging concern (CEC) in groundwater in the Papio-Missouri River Natural Resources District, eastern Nebraska. Each well was sampled twice (in June and October or November) in 2019, totaling 34 samples. Samples were analyzed for 132 CECs, which include pharmaceutical, steroid hormone, and other organic chemicals. Seven of the 132 CEC analytes were detected in samples collected during this study. The most commonly detected CEC in this study was the antibiotic sulfamethoxazole. Other CECs detected in this study were nicotine, methyl-1H-benzotiazole (industrial product), acetaminophen (analgesic), caffeine, and metformin (diabetes medicine). None of the detected CECs have health-based water-quality standards. The agricultural herbicide atrazine was also sampled for and was detected in 15 of 26 samples from 8 wells, but all samples were below the established water-quality standard.

Nitrate, dissolved oxygen, and iron sampling results for 2010–19 and 1992–2020 were also assessed to determine the extent and trend of anthropogenic contamination in the Papio-Missouri River Natural Resources District. Nitrate as nitrogen was detected at a concentration greater than 4 milligrams per liter in 92 samples (19 percent), and detections in 36 samples (7.6 percent) exceeded 10 milligrams per liter, which is the U.S. Environmental Protection Agency’s maximum contaminant level for drinking water and Nebraska’s Title 118 maximum contaminant level for groundwater. Time series analysis showed that nitrate concentrations are not increasing or decreasing in any of the aquifers except for in three specific well nests, which are in phase 2 management areas. Dissolved oxygen results indicate potential denitrification throughout the Elkhorn alluvial aquifer; iron concentrations indicate potential denitrification in parts of the Missouri River alluvial aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235018","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resources District","usgsCitation":"Hall, B.M., Kavan, C.L., Flynn, A.T., and Cherry, M.L., 2023, Selected anthropogenic contaminants in groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992–2020: U.S. Geological Survey Scientific Investigations Report 2023–5018, 35 p., https://doi.org/10.3133/sir20235018.","productDescription":"Report: viii, 35 p.; Dataset","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-129446","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":500712,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114614.htm","linkFileType":{"id":5,"text":"html"}},{"id":414566,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235018/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":414475,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":414473,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5018/images"},{"id":414467,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5018/coverthb.jpg"},{"id":414472,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5018/sir20235018.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":414471,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5018/sir20235018.pdf","text":"Report","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5018"}],"country":"United States","state":"Nebraska","otherGeospatial":"Papio-Missouri River Natural Resources District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.44002964238103,\n 42.54396877053898\n ],\n [\n -96.58279049799194,\n 42.600578625387556\n ],\n [\n -96.76947777071449,\n 42.600578625387556\n ],\n [\n -96.74751456215893,\n 42.44680377755785\n ],\n [\n -96.62671691510306,\n 42.05663484833863\n ],\n [\n -96.6047537065475,\n 41.68045966846773\n ],\n [\n -96.56082728943636,\n 41.38451863047598\n ],\n [\n -96.51690087232578,\n 41.16994185576513\n ],\n [\n -96.27530557821459,\n 41.18647280254271\n ],\n [\n -96.03371028410338,\n 41.22778191479978\n ],\n [\n -95.83604140710383,\n 41.26906494493187\n ],\n [\n -95.93487584560361,\n 41.63943772246449\n ],\n [\n -96.05567349265895,\n 41.885177311048636\n ],\n [\n -96.25334236965901,\n 42.317015660865195\n ],\n [\n -96.44002964238103,\n 42.54396877053898\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512

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","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kavan, Cory L. 0000-0002-5887-9316 ckavan@usgs.gov","orcid":"https://orcid.org/0000-0002-5887-9316","contributorId":5677,"corporation":false,"usgs":true,"family":"Kavan","given":"Cory","email":"ckavan@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Amanda T. 0000-0001-9768-2076 aflynn@usgs.gov","orcid":"https://orcid.org/0000-0001-9768-2076","contributorId":176644,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"aflynn@usgs.gov","middleInitial":"T.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherry, Mikaela L. 0000-0003-1081-0296 mcherry@usgs.gov","orcid":"https://orcid.org/0000-0003-1081-0296","contributorId":303279,"corporation":false,"usgs":true,"family":"Cherry","given":"Mikaela","email":"mcherry@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241482,"text":"sir20225120 - 2023 - Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York","interactions":[],"lastModifiedDate":"2026-02-23T20:41:49.639474","indexId":"sir20225120","displayToPublicDate":"2023-03-22T12:18:00","publicationYear":"2023","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":"2022-5120","displayTitle":"Preliminary Machine Learning Models of Manganese and 1,4-Dioxane in Groundwater on Long Island, New York","title":"Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York","docAbstract":"

Manganese and 1,4-dioxane in groundwater underlying Long Island, New York, were modeled with machine learning methods to demonstrate the use of these methods for mapping contaminants in groundwater in the Long Island aquifer system. XGBoost, a gradient boosted, ensemble tree method, was applied to data from 910 wells for manganese and 553 wells for 1,4-dioxane. Explanatory variables included soil properties, groundwater flow, land use, and other features that describe the hydrogeology and geochemistry of the aquifer system. Four models were developed to predict the probability of manganese concentrations greater than a detection level of 10 micrograms per liter (μg/L) and greater than three threshold concentrations (50, 150, and 300 μg/L) relevant to drinking-water quality. One model was developed to predict the probability of 1,4-dioxane concentrations greater than a detection level of 0.07 μg/L. The 1,4-dioxane model was limited geographically to Suffolk County because of data availability. Predictions were made for two layers in the upper glacial aquifer and three layers in the Magothy aquifer, which are the upper two of the three major aquifers of the Long Island aquifer system.

The objective of the study described in this report was to demonstrate the application of the methods rather than to develop precise estimates of manganese or 1,4-dioxane concentrations at any given location. The predictive models developed in the study are considered preliminary in the sense that they are an initial effort at developing these kinds of models specifically for Long Island. The models could be improved by the inclusion of additional data, by the use of methods to improve the modeling of infrequent high concentrations of manganese and 1,4-dioxane (above threshold concentrations), and by including more explanatory variables that specifically describe conditions and contaminant sources on Long Island. Nonetheless, the distribution of model predictions and the influence of explanatory variables in the models were consistent with the expected relations between contaminant concentrations and groundwater-flow-system characteristics and the distribution of manmade sources.

Mapped predictions indicated that manganese detections were more probable in the upper glacial aquifer and along the southern shore of Long Island, consistent with the distribution of anoxic conditions in groundwater in the Long Island aquifer system. Manganese was infrequently predicted at concentrations greater than thresholds of concern for drinking-water quality in any of the aquifer layers. Detections of 1,4-dioxane were predicted in the western, more highly developed parts of Suffolk County, in the upper glacial aquifer and the top and middle layers of the Magothy aquifer, and in northwestern Suffolk County in the bottom layer of the Magothy aquifer. Although preliminary in nature and based on limited data, these mapped predictions can be used to generally identify areas where manganese and 1,4-dioxane may be present at concentrations of concern to prioritize areas for future monitoring and to guide future modeling and mapping efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225120","programNote":"National Water Quality Program","usgsCitation":"DeSimone, L.A., 2023, Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5120, 34 p., https://doi.org/10.3133/sir20225120.","productDescription":"Report: vii, 34 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-133571","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":414438,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5120/images/"},{"id":414437,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5120/sir20225120.XML"},{"id":414436,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225120/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5120"},{"id":500463,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114612.htm","linkFileType":{"id":5,"text":"html"}},{"id":414439,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90AT9YG","text":"USGS data release","linkHelpText":"Data and model archive for preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York"},{"id":414434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5120/coverthb.jpg"},{"id":414435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5120/sir20225120.pdf","text":"Report","size":"5.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5120"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.05146015978082,\n 40.628474760922984\n ],\n [\n -73.96502494019428,\n 40.542103435896706\n ],\n [\n -73.54649650851006,\n 40.545560430280744\n ],\n [\n -73.20985407432973,\n 40.61811609149555\n ],\n [\n -72.74128419972719,\n 40.738867255336714\n ],\n [\n -72.19082832762075,\n 40.90411303840304\n ],\n [\n -71.79504600635465,\n 41.08266452105815\n ],\n [\n -72.259066658874,\n 41.20257103045407\n ],\n [\n -72.71853808930965,\n 41.00374947032347\n ],\n [\n -73.1643618534946,\n 41.010615404965876\n ],\n [\n -73.52375039809249,\n 40.948796241204036\n ],\n [\n -73.76485916851937,\n 40.873160815851264\n ],\n [\n -73.87858972060721,\n 40.79055078444986\n ],\n [\n -74.01961560519632,\n 40.72163048139012\n ],\n [\n -74.05146015978082,\n 40.68714353955147\n ],\n [\n -74.05146015978082,\n 40.628474760922984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-03-22","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70261885,"text":"70261885 - 2023 - Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA","interactions":[],"lastModifiedDate":"2024-12-31T16:53:23.631087","indexId":"70261885","displayToPublicDate":"2023-03-22T10:28:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA","docAbstract":"This review summarizes what the volcanology community has learned thus far from studying the deposits of pyroclastic currents (PC) from the 1980 eruption sequence at Mount St. Helens. The review includes mass flow events during the May 18 eruption, including the lateral blast, the afternoon column collapse and boil-over PC activity, and some aspects of the debris avalanche. We also include a summary of PCs generated in the smaller eruptions following the climactic May 18 event. Our objective is to summarize the state of our understanding of PC transport and emplacement mechanisms from the combination of field and laboratory observations, granular flow experiments, and numerical modeling techniques. Specifically, we couple deposit characteristics, experiments, and numerical modeling techniques to critically address the problems of (1) constraining conditions in the flow boundary zone at the time of deposition, (2) the influence of substrate roughness and topography on PC behavior, (3) the prevalence, causes, and consequences of substrate erosion by PCs, and (4) the reconstruction of PC transportation and sedimentation processes from a combination of geophysical and sedimentological observations. We conclude by providing opportunities for future research as our field, experimental, and numerical research techniques advance.","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01617-w","usgsCitation":"Brand, B.D., Pollock, N., Vallance, J.W., Ongaro, T., Roche, O., Trolese, M., Geordano, G., Marshall, A., and Criswell, C., 2023, Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA: Bulletin of Volcanology, v. 85, no. 24, 33 p., https://doi.org/10.1007/s00445-022-01617-w.","productDescription":"33 p.","ipdsId":"IP-138509","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467116,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01617-w","text":"Publisher Index Page"},{"id":465579,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.21517562866211,\n 46.171866354392314\n ],\n [\n -122.18616485595703,\n 46.159501957257795\n ],\n [\n -122.1602439880371,\n 46.16651671595163\n ],\n [\n -122.14839935302733,\n 46.18090011791342\n ],\n [\n -122.14668273925783,\n 46.196111522993\n ],\n [\n -122.15183258056639,\n 46.21595132425726\n ],\n [\n -122.16590881347656,\n 46.22759050621931\n ],\n [\n -122.1932029724121,\n 46.23637764124692\n ],\n [\n -122.2319984436035,\n 46.229253045075275\n ],\n [\n -122.23148345947267,\n 46.19872555930486\n ],\n [\n -122.23131179809569,\n 46.18708025892558\n ],\n [\n -122.21517562866211,\n 46.171866354392314\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"24","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Brand, Brittany D. brittanybrand@boisestate.edu","contributorId":193853,"corporation":false,"usgs":false,"family":"Brand","given":"Brittany","email":"brittanybrand@boisestate.edu","middleInitial":"D.","affiliations":[],"preferred":false,"id":922134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Nicholas","contributorId":193854,"corporation":false,"usgs":false,"family":"Pollock","given":"Nicholas","email":"","affiliations":[{"id":33038,"text":"Department of Geosciences, Boise State University","active":true,"usgs":false}],"preferred":false,"id":922135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ongaro, Tomaso Esposti","contributorId":347669,"corporation":false,"usgs":false,"family":"Ongaro","given":"Tomaso Esposti","affiliations":[{"id":83198,"text":"Instituto Nazionale di Geofisica e Vulcanologia Sezione di Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":922137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roche, Olivier","contributorId":167382,"corporation":false,"usgs":false,"family":"Roche","given":"Olivier","email":"","affiliations":[{"id":24702,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal-CNRS-IRD, OPGC, F-63038 6 Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":922138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trolese, Matteo","contributorId":347687,"corporation":false,"usgs":false,"family":"Trolese","given":"Matteo","affiliations":[],"preferred":false,"id":922174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geordano, Guido","contributorId":347670,"corporation":false,"usgs":false,"family":"Geordano","given":"Guido","affiliations":[{"id":83199,"text":"Dipartimento di Scienze, Universita degli Studi Roma, Italy","active":true,"usgs":false}],"preferred":false,"id":922139,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marshall, Aaron A.","contributorId":347689,"corporation":false,"usgs":false,"family":"Marshall","given":"Aaron A.","affiliations":[],"preferred":false,"id":922175,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Criswell, C. William","contributorId":347688,"corporation":false,"usgs":false,"family":"Criswell","given":"C. William","affiliations":[],"preferred":false,"id":922176,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70246251,"text":"70246251 - 2023 - Foreword","interactions":[],"lastModifiedDate":"2023-06-28T15:14:42.045152","indexId":"70246251","displayToPublicDate":"2023-03-22T10:13:06","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Foreword","docAbstract":"

No abstract available.

","largerWorkTitle":"Recent advancement in geoinformatics and data science","language":"English","publisher":"Geological Society of America","doi":"10.1130/2022.2558(001)","usgsCitation":"Ma, X., Mookerjee, M., Hsu, L., and Hills, D., 2023, Foreword, chap. of Recent advancement in geoinformatics and data science, v. 558, https://doi.org/10.1130/2022.2558(001).","productDescription":"1 p.","startPage":"v","ipdsId":"IP-142265","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":418592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"558","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ma, Xiaogang","contributorId":315381,"corporation":false,"usgs":false,"family":"Ma","given":"Xiaogang","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":876409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mookerjee, Matty","contributorId":315382,"corporation":false,"usgs":false,"family":"Mookerjee","given":"Matty","email":"","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":876410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":876411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hills, Denise","contributorId":315383,"corporation":false,"usgs":false,"family":"Hills","given":"Denise","email":"","affiliations":[{"id":13327,"text":"Geological Survey of Alabama","active":true,"usgs":false}],"preferred":false,"id":876412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247698,"text":"70247698 - 2023 - Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf","interactions":[],"lastModifiedDate":"2023-08-11T14:27:27.877857","indexId":"70247698","displayToPublicDate":"2023-03-22T09:23:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf","docAbstract":"

This study explores how diverse the meiobenthic (meiofauna and other benthic micro-eukaryotes) community is throughout the United States Gulf of Mexico (GOM) continental shelf. In late 2010 and 2011, 51 sediment samples were collected along GOM from Texas through Florida at a range of depths (40m–496m). An additional six deep-sea slope sediment cores were collected in December 2010 near the Deepwater Horizon platform (1370–1385m and 1865m). Metabarcoding of the 18S hypervariable V9 region was conducted to assess biodiversity. Within continental shelf samples, there was greater meiobenthic diversity off the Eastern GOM coast in comparison to both Central and Western GOM coast locations. The Eastern GOM coast has known sediment differences from Western GOM sites. These sediment differences along with influences from the Gulf of Mexico Loop Current may account for observed variations in GOM meiobenthic diversity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108303","usgsCitation":"Brannock, P.M., Demopoulos, A., Landers, S.C., Waits, D.S., and Halanych, K.M., 2023, Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf: Estuarine, Coastal and Shelf Science, v. 285, 108303, 11 p., https://doi.org/10.1016/j.ecss.2023.108303.","productDescription":"108303, 11 p.","ipdsId":"IP-143979","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108303","text":"Publisher Index Page"},{"id":419746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.0454668578711,\n 25.2112866504243\n ],\n [\n -82.26870034867704,\n 26.46838949145966\n ],\n [\n -82.72708466360095,\n 27.33933552895833\n ],\n [\n -82.88356327975112,\n 27.923703811696868\n ],\n [\n -82.69546708608799,\n 28.85741771478554\n ],\n [\n -83.05448982390429,\n 29.044828371309947\n ],\n [\n -84.00249439203462,\n 29.935333298895316\n ],\n [\n -85.17649729113158,\n 29.542297138113014\n ],\n [\n -86.37997870471644,\n 30.195765985638346\n ],\n [\n -87.96931156473273,\n 30.203483534805827\n ],\n [\n -89.11097137994817,\n 29.882704328046657\n ],\n [\n -89.74582087072409,\n 29.106656041968364\n ],\n [\n -90.30786307986214,\n 28.943752350879407\n ],\n [\n -92.53157289617916,\n 29.458633979299037\n ],\n [\n -93.8003865513774,\n 29.500604600212952\n ],\n [\n -94.75696670446546,\n 29.108237482144702\n ],\n [\n -96.00740561464876,\n 28.332182802828413\n ],\n [\n -96.97702364006607,\n 27.67159636325421\n ],\n [\n -97.18084541150141,\n 26.927544006927846\n ],\n [\n -97.05621148925196,\n 26.087197230578298\n ],\n [\n -95.67021883090977,\n 26.02157337070716\n ],\n [\n -94.6724873820428,\n 27.196943925915562\n ],\n [\n -89.67087171666184,\n 27.50767402365959\n ],\n [\n -87.5707278267364,\n 28.476759671528825\n ],\n [\n -85.60214939415401,\n 26.79513667934289\n ],\n [\n -84.15280818816129,\n 24.02363974069364\n ],\n [\n -81.0454668578711,\n 25.2112866504243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brannock, Pamela M.","contributorId":328398,"corporation":false,"usgs":false,"family":"Brannock","given":"Pamela","email":"","middleInitial":"M.","affiliations":[{"id":24752,"text":"Rollins College","active":true,"usgs":false}],"preferred":false,"id":880076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":221145,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landers, Stephen C.","contributorId":328399,"corporation":false,"usgs":false,"family":"Landers","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":78357,"text":"Troy University","active":true,"usgs":false}],"preferred":false,"id":880078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, Damien S.","contributorId":328400,"corporation":false,"usgs":false,"family":"Waits","given":"Damien","email":"","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":880079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halanych, Kenneth M.","contributorId":328401,"corporation":false,"usgs":false,"family":"Halanych","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[{"id":65271,"text":"University of North Carolina at Wilmington","active":true,"usgs":false}],"preferred":false,"id":880080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70242003,"text":"70242003 - 2023 - Sex-biased infections scale to population impacts for an emerging wildlife disease","interactions":[],"lastModifiedDate":"2023-04-04T12:24:59.519962","indexId":"70242003","displayToPublicDate":"2023-03-22T07:21:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sex-biased infections scale to population impacts for an emerging wildlife disease","docAbstract":"

Demographic factors are fundamental in shaping infectious disease dynamics. Aspects of populations that create structure, like age and sex, can affect patterns of transmission, infection intensity and population outcomes. However, studies rarely link these processes from individual to population-scale effects. Moreover, the mechanisms underlying demographic differences in disease are frequently unclear. Here, we explore sex-biased infections for a multi-host fungal disease of bats, white-nose syndrome, and link disease-associated mortality between sexes, the distortion of sex ratios and the potential mechanisms underlying sex differences in infection. We collected data on host traits, infection intensity and survival of five bat species at 42 sites across seven years. We found females were more infected than males for all five species. Females also had lower apparent survival over winter and accounted for a smaller proportion of populations over time. Notably, female-biased infections were evident by early hibernation and likely driven by sex-based differences in autumn mating behaviour. Male bats were more active during autumn which likely reduced replication of the cool-growing fungus. Higher disease impacts in female bats may have cascading effects on bat populations beyond the hibernation season by limiting recruitment and increasing the risk of Allee effects.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2023.0040","usgsCitation":"Kailing, M.J., Hoyt, J.R., White, J.P., Kaarakka, H.M., Redell, J.A., Leon, A.E., Rocke, T.E., DePue, J.E., Scullon, W.H., Parise, K.L., Foster, J.T., Kilpatrick, A.M., and Langwig, K.E., 2023, Sex-biased infections scale to population impacts for an emerging wildlife disease: Proceedings of the Royal Society B: Biological Sciences, v. 290, no. 1995, 20230040, 10 p., https://doi.org/10.1098/rspb.2023.0040.","productDescription":"20230040, 10 p.","ipdsId":"IP-143177","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2023.0040","text":"Publisher Index Page"},{"id":415159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"290","issue":"1995","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kailing, Macy J.","contributorId":303905,"corporation":false,"usgs":false,"family":"Kailing","given":"Macy","email":"","middleInitial":"J.","affiliations":[{"id":65923,"text":"Virginia Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":868493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":868494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaarakka, Heather M.","contributorId":120892,"corporation":false,"usgs":false,"family":"Kaarakka","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868499,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":868500,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scullon, William H.","contributorId":303906,"corporation":false,"usgs":false,"family":"Scullon","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868501,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parise, Katy L.","contributorId":201310,"corporation":false,"usgs":false,"family":"Parise","given":"Katy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":868502,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":868503,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":868504,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":868505,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70247889,"text":"70247889 - 2023 - Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases","interactions":[],"lastModifiedDate":"2024-01-26T18:04:40.163463","indexId":"70247889","displayToPublicDate":"2023-03-22T07:07:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases","docAbstract":"

Emerging diseases can have devastating consequences for wildlife and require a rapid response. A critical first step towards developing appropriate management is identifying the etiology of the disease, which can be difficult to determine, particularly early in emergence. Gathering and synthesizing existing information about potential disease causes, by leveraging expert knowledge or relevant existing studies, provides a principled approach to quickly inform decision-making and management efforts. Additionally, updating the current state of knowledge as more information becomes available over time can reduce scientific uncertainty and lead to substantial improvement in the decision-making process and the application of management actions that incorporate and adapt to newly acquired scientific understanding. Here we present a rapid prototyping method for quantifying belief weights for competing hypotheses about the etiology of disease using a combination of formal expert elicitation and Bayesian hierarchical modeling. We illustrate the application of this approach for investigating the etiology of stony coral tissue loss disease (SCTLD) and discuss the opportunities and challenges of this approach for addressing emergent diseases. Lastly, we detail how our work may apply to other pressing management or conservation problems that require quick responses. We found the rapid prototyping methods to be an efficient and rapid means to narrow down the number of potential hypotheses, synthesize current understanding, and help prioritize future studies and experiments. This approach is rapid by providing a snapshot assessment of the current state of knowledge. It can also be updated periodically (e.g., annually) to assess changes in belief weights over time as scientific understanding increases. Synthesis and applications: The rapid prototyping approaches demonstrated here can be used to combine knowledge from multiple experts and/or studies to help with fast decision-making needed for urgent conservation issues including emerging diseases and other management problems that require rapid responses. These approaches can also be used to adjust belief weights over time as studies and expert knowledge accumulate and can be a helpful tool for adapting management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117668","usgsCitation":"Robertson, E.P., Walsh, D.P., Martin, J., Work, T.M., Kellogg, C.A., Evans, J.S., Hawthorn, A.C., Aeby, G., Paul, V.J., Walker, B., Kiryu, Y., Woodley, C., Meyer, J.L., Rosales, S.M., Studivan, M.S., Moore, J., Brandt, M.E., and Bruckner, A., 2023, Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases: Journal of Environmental Management, v. 337, 117668, 9 p., https://doi.org/10.1016/j.jenvman.2023.117668.","productDescription":"117668, 9 p.","ipdsId":"IP-146770","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444129,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117668","text":"Publisher Index Page"},{"id":435408,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DLNEBY","text":"USGS data release","linkHelpText":"Expert assessments of hypotheses concerning the etiological agent(s) of Stony Coral Tissue Loss Disease collected during a rapid prototyping project"},{"id":435407,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S9JDVB","text":"USGS data release","linkHelpText":"Code for Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases"},{"id":420068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Ellen Padgett 0000-0002-8135-0816","orcid":"https://orcid.org/0000-0002-8135-0816","contributorId":328644,"corporation":false,"usgs":true,"family":"Robertson","given":"Ellen","email":"","middleInitial":"Padgett","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":880878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":880880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, James S. 0000-0002-9977-1627 jsevans@usgs.gov","orcid":"https://orcid.org/0000-0002-9977-1627","contributorId":279528,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jsevans@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hawthorn, Aine C. 0000-0002-8029-1383","orcid":"https://orcid.org/0000-0002-8029-1383","contributorId":292709,"corporation":false,"usgs":true,"family":"Hawthorn","given":"Aine","email":"","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":880883,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aeby, Greta","contributorId":252909,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":880884,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paul, Valerie J. 0000-0002-4691-1569","orcid":"https://orcid.org/0000-0002-4691-1569","contributorId":279530,"corporation":false,"usgs":false,"family":"Paul","given":"Valerie","email":"","middleInitial":"J.","affiliations":[{"id":57268,"text":"Smithsonian Marine Station","active":true,"usgs":false}],"preferred":false,"id":880885,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walker, Brian","contributorId":240583,"corporation":false,"usgs":false,"family":"Walker","given":"Brian","affiliations":[{"id":48098,"text":"Halmos college of Natural Sciences and Oceanography, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":880886,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kiryu, Yasu","contributorId":252920,"corporation":false,"usgs":false,"family":"Kiryu","given":"Yasu","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":880887,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodley, Cheryl M.","contributorId":225366,"corporation":false,"usgs":false,"family":"Woodley","given":"Cheryl M.","affiliations":[{"id":41087,"text":"Hollings Marine Laboratory, National Ocean Service, National Oceanic and Atmospheric Administration, Charleston, SC 29412, USA","active":true,"usgs":false}],"preferred":false,"id":880888,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Meyer, Julie L.","contributorId":303099,"corporation":false,"usgs":false,"family":"Meyer","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":880889,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rosales, Stephanie M.","contributorId":303090,"corporation":false,"usgs":false,"family":"Rosales","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":65658,"text":"Cooperative Institute for Marine and Atmospheric Studies","active":true,"usgs":false}],"preferred":false,"id":880890,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Studivan, Michael S.","contributorId":297510,"corporation":false,"usgs":false,"family":"Studivan","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":64418,"text":"University of Miami, NOAA","active":true,"usgs":false}],"preferred":false,"id":880891,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Moore, Jennifer","contributorId":328646,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","affiliations":[{"id":78438,"text":"Moore Ecological Analysis and Management, LLC","active":true,"usgs":false}],"preferred":false,"id":880892,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Brandt, Marilyn E.","contributorId":171794,"corporation":false,"usgs":false,"family":"Brandt","given":"Marilyn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":880893,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bruckner, Andrew","contributorId":305643,"corporation":false,"usgs":false,"family":"Bruckner","given":"Andrew","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":880894,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70242688,"text":"70242688 - 2023 - The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation","interactions":[],"lastModifiedDate":"2023-04-13T11:38:15.937626","indexId":"70242688","displayToPublicDate":"2023-03-22T06:36:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation","docAbstract":"

Freshwater habitats are experiencing two to three times the rate of biodiversity loss of terrestrial and marine habitats. As status quo actions within the conservation community are not reversing the downward trajectory for freshwater biodiversity, we propose four actions to shift the narrative such that freshwater biodiversity is no longer invisible and overlooked, but rather explicitly recognized, valued, and protected: (1) Reshape our relationship with freshwater habitats and biodiversity, (2) Appreciate indigenous knowledge systems relating to freshwater habitats, (3) Connect science more directly to action, and (4) Elevate freshwater habitats as a unique “domain” that requires explicit recognition in conservation planning (RACE). We highlight roles that both freshwater scientists and the wider conservation community can play in implementing the four actions such that the “RACE” can be won.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.12911","usgsCitation":"Birnie-Gauvin, K., Lynch, A., Franklin, P.A., Reid, A.J., Landsman, S.J., Tickner, D., Dalton, J., Aarestrup, K., and Cooke, S.J., 2023, The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation: Conservation Science and Practice, v. 5, no. 4, e12911, 18 p., https://doi.org/10.1111/csp2.12911.","productDescription":"e12911, 18 p.","ipdsId":"IP-130632","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12911","text":"Publisher Index Page"},{"id":415700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Birnie-Gauvin, Kim","contributorId":272554,"corporation":false,"usgs":false,"family":"Birnie-Gauvin","given":"Kim","email":"","affiliations":[],"preferred":false,"id":869369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":216203,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Paul A.","contributorId":220480,"corporation":false,"usgs":false,"family":"Franklin","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":40175,"text":"National Institute of Water and Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":869371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Andrea J.","contributorId":221029,"corporation":false,"usgs":false,"family":"Reid","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":869372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsman, Sean J.","contributorId":304132,"corporation":false,"usgs":false,"family":"Landsman","given":"Sean","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":869373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tickner, David","contributorId":224152,"corporation":false,"usgs":false,"family":"Tickner","given":"David","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":869374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dalton, James","contributorId":292275,"corporation":false,"usgs":false,"family":"Dalton","given":"James","email":"","affiliations":[{"id":40831,"text":"IUCN","active":true,"usgs":false}],"preferred":false,"id":869375,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aarestrup, Kim","contributorId":203992,"corporation":false,"usgs":false,"family":"Aarestrup","given":"Kim","email":"","affiliations":[{"id":36789,"text":"Danmarks Tekniske Universitet","active":true,"usgs":false}],"preferred":false,"id":869377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":869376,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263085,"text":"70263085 - 2023 - Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures","interactions":[],"lastModifiedDate":"2025-01-29T15:44:57.282852","indexId":"70263085","displayToPublicDate":"2023-03-22T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures","docAbstract":"

By 2050, mean temperature in the state of Maine, located in the Northeastern USA, is expected to increase nearly 1°C, which could directly affect native coldwater salmonid behaviour and increase competition with warmwater smallmouth bass. We conducted a microcosm experiment to examine the feeding and agonistic behaviour of endangered juvenile Atlantic Salmon (Salmo salar) at two temperatures (18 and 21°C) in the presence and absence of non-native Smallmouth Bass (Micropterus dolomieu). By visually reviewing footage of fish competition in our tanks, we quantified feeding and agonistic interactions. We predicted salmon would exhibit lower feeding activity than bass at 21°C and antagonistic interactions between the two species would increase with warming. We found salmon feeding activity was reduced by smallmouth bass presence and this effect was stronger at 21°C. We also found smallmouth bass aggression was strongest at 21°C when salmon were present. Lastly, feeding activity and aggression in both species changed with food availability. These findings illustrate the potential for invasive warmwater species to outcompete native salmonids for resources, especially under the warmer conditions predicted by climate change scenarios.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12711","usgsCitation":"Ramberg-Pihl, N., Klemmer, A., Zydlewski, J.D., Coghlan Jr., S., and Greig, H., 2023, Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures: Ecology of Freshwater Fish, v. 32, no. 3, p. 606-617, https://doi.org/10.1111/eff.12711.","productDescription":"12 p.","startPage":"606","endPage":"617","ipdsId":"IP-124876","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12711","text":"Publisher Index Page"},{"id":481455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramberg-Pihl, Nicole C.","contributorId":350208,"corporation":false,"usgs":false,"family":"Ramberg-Pihl","given":"Nicole C.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":925488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemmer, Amanda J.","contributorId":350209,"corporation":false,"usgs":false,"family":"Klemmer","given":"Amanda J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":925489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":925487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coghlan Jr., Stephen M.","contributorId":350213,"corporation":false,"usgs":false,"family":"Coghlan Jr.","given":"Stephen M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":925490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greig, Hamish S.","contributorId":350215,"corporation":false,"usgs":false,"family":"Greig","given":"Hamish S.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":925491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241201,"text":"cir1503 - 2023 - Update on U.S. Geological Survey Fundamental Science Practices","interactions":[],"lastModifiedDate":"2023-09-18T16:21:43.379431","indexId":"cir1503","displayToPublicDate":"2023-03-21T12:25:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1503","displayTitle":"Update on U.S. Geological Survey Fundamental Science Practices","title":"Update on U.S. Geological Survey Fundamental Science Practices","docAbstract":"

The U.S. Geological Survey (USGS) Fundamental Science Practices (FSP) are a set of standard principles fundamental to how USGS conducts and carries out its science activities and how resulting information products and data are reviewed, approved, and released. These policies, practices, philosophical premises, and operational principles serve as the foundation for all USGS research and monitoring activities and apply to all levels of the organization. The strength and future of the USGS depend on following these practices. USGS FSP were initiated in 2006 and fully implemented in 2009 to consolidate and standardize science practices across multiple scientific mission areas and science disciplines within the USGS.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1503","usgsCitation":"Fundamental Science Practices Advisory Council, 2023, Update on U.S. Geological Survey Fundamental Science Practices: U.S. Geological Survey Circular 1503, 6 p., https://doi.org/10.3133/cir1503.","productDescription":"iv, 6 p.","startPage":"i-iv; 1-6","onlineOnly":"N","ipdsId":"IP-137019","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":414143,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.pdf","text":"Report","size":"4.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1503"},{"id":414145,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1503/images"},{"id":414146,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.xml"},{"id":414440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/cir1503/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1503"},{"id":414132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1503/coverthb.jpg"}],"contact":"

Fundamental Science Practices Advisory Council

","tableOfContents":"","publishedDate":"2023-03-21","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Fundamental Science Practices Advisory Council","contributorId":303051,"corporation":true,"usgs":false,"organization":"Fundamental Science Practices Advisory Council","id":866423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70255238,"text":"70255238 - 2023 - Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","interactions":[],"lastModifiedDate":"2024-06-13T15:29:53.521826","indexId":"70255238","displayToPublicDate":"2023-03-21T10:27:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","docAbstract":"
  1. Hibernation is a remarkable behaviour deployed by a diverse array of endotherms within many clades that greatly reduces metabolic need, but also has somatic costs. Hibernation in modern endotherms is often assumed to be an adaptation allowing animals to avoid extreme thermal conditions or food shortages in seasonal environments. However, many animals hibernate when foraging conditions are energetically profitable, suggesting other causal factors influence hibernation behaviour.
  2. Understanding the selection pressures responsible for intraspecific variation in the timing and duration of hibernation can help elucidate the relative evolutionary influences of the ultimate ecological causes of hibernation. We tested four previously proposed mechanistic hypotheses to explain intraspecific variation in hibernation phenology in the federally threatened northern Idaho ground squirrel (Urocitellus brunneus): (1) thermal tolerance, (2) food limitation, (3) predation avoidance and (4) sexual selection.
  3. The predation avoidance and sexual selection hypotheses received the most support, although we also found some support for the thermal tolerance and food limitation hypotheses. Heavy squirrels increased hibernation duration regardless of environmental conditions, as predicted solely by the predation avoidance hypothesis. Reproductive males emerged from hibernation earlier in spring than other sex–age classes, a pattern predicted by the sexual selection hypothesis. Temperature and food availability explained a much smaller amount of the variation in hibernation behaviour, only partially supporting predictions of the thermal tolerance and food limitation hypotheses.
  4. Our results indicate that animals navigate life-history trade-offs between energetic allocation to survival and reproduction via state-dependent optimization of hibernation phenology. Consequently, any future environmental changes that influence body condition will have implications for population ecology and life-history evolution of hibernating animals due to stark differences in daily survival probability between hibernation and the active season.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.14322","usgsCitation":"Allison, A., Conway, C.J., and Morris, A.E., 2023, Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology: Functional Ecology, v. 37, no. 6, p. 1580-1593, https://doi.org/10.1111/1365-2435.14322.","productDescription":"15 p.","startPage":"1580","endPage":"1593","ipdsId":"IP-144984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.14322","text":"Publisher Index Page"},{"id":430143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin A Z.","contributorId":337876,"corporation":false,"usgs":false,"family":"Allison","given":"Austin A Z.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Alice E","contributorId":339157,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","email":"","middleInitial":"E","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222357,"text":"70222357 - 2023 - Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","interactions":[],"lastModifiedDate":"2023-05-02T14:22:46.665575","indexId":"70222357","displayToPublicDate":"2023-03-21T09:16:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","title":"Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","docAbstract":"

Pathogens with persistent environmental stages can have devastating effects on wildlife communities. White-nose syndrome (WNS), caused by the fungus Pseudogymnoascus destructans, has caused widespread declines in bat populations of North America. In 2009, during the early stages of the WNS investigation and before molecular techniques had been developed to readily detect P. destructans in environmental samples, we initiated this study to assess whether P. destructans can persist in the hibernaculum environment in the absence of its conclusive bat host and cause infections in naive bats. We transferred little brown bats (Myotis lucifugus) from an unaffected winter colony in northwest Wisconsin to two P. destructans contaminated hibernacula in Vermont where native bats had been excluded. Infection with P. destructans was apparent on some bats within 8 weeks following the introduction of unexposed bats to these environments, and mortality from WNS was confirmed by histopathology at both sites 14 weeks following introduction. These results indicate that environmental exposure to P. destructans is sufficient to cause the infection and mortality associated with WNS in naive bats, which increases the probability of winter colony extirpation and complicates conservation efforts.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-023-31515-w","usgsCitation":"Hicks, A., Darling, S., Flewelling, J., von Linden, R., Meteyer, C., Redell, D., White, J.P., Redell, J.A., Smith, R., Blehert, D.S., Rayman-Metcalf, N.L., Hoyt, J.R., Okoniewski, J.C., and Langwig, K.E., 2023, Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats: Nature, v. 13, 4615, 7 p., https://doi.org/10.1038/s41598-023-31515-w.","productDescription":"4615, 7 p.","ipdsId":"IP-130671","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-31515-w","text":"Publisher Index Page"},{"id":416621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hicks, Alan C.","contributorId":261313,"corporation":false,"usgs":false,"family":"Hicks","given":"Alan C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darling, Scott","contributorId":261314,"corporation":false,"usgs":false,"family":"Darling","given":"Scott","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flewelling, Joel","contributorId":261315,"corporation":false,"usgs":false,"family":"Flewelling","given":"Joel","email":"","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Linden, Ryan","contributorId":261316,"corporation":false,"usgs":false,"family":"von Linden","given":"Ryan","email":"","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meteyer, Carol 0000-0002-4007-3410","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":207215,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":819738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Redell, Dave","contributorId":261317,"corporation":false,"usgs":false,"family":"Redell","given":"Dave","email":"","affiliations":[{"id":52816,"text":"Wisconsin Dept. Natural Resources, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":819739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Ryan","contributorId":206257,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":819740,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819741,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rayman-Metcalf, Noelle L.","contributorId":304691,"corporation":false,"usgs":false,"family":"Rayman-Metcalf","given":"Noelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":819742,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":819743,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Okoniewski, Joseph C.","contributorId":261319,"corporation":false,"usgs":false,"family":"Okoniewski","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819744,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":819745,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70241601,"text":"70241601 - 2023 - Evolving radon diffusion through earthen barriers at uranium waste disposal sites","interactions":[],"lastModifiedDate":"2023-03-27T10:54:56.625544","indexId":"70241601","displayToPublicDate":"2023-03-21T09:15:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Evolving radon diffusion through earthen barriers at uranium waste disposal sites","docAbstract":"

Field measurements of Rn-222 fluxes from the tops and bottoms of compacted clay radon barriers were used to calculate effective Rn diffusion coefficients (DRn) at four uranium waste disposal sites in the western United States to assess cover performance after more than 20 years of service. Values of DRn ranged from 7.4 × 10−7 to 6.0 × 10−9 m2/s, averaging 1.42 × 10−7. Water saturation (SW) from soil cores indicated that there was relatively little control of DRn by SW, especially at higher moisture levels, in contrast to estimates from most steady-state diffusion models. This is attributed to preferential pathways intrinsic to construction of the barriers or to natural process that have developed over time including desiccation cracks, root channels, and insect burrows in the engineered earthen barriers. A modification to some models in which fast and slow pathway DRn values are partitioned appears to give a good representation of the data; 4% of the fast pathway was needed to fit the data regression. For locations with high Sw and highest DRn (and fluxes) at each site, the proportion of fast pathway ranged from 1.7% to 34%, but for many locations with lower fluxes, little if any fast pathway was needed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2023.107140","usgsCitation":"Fuhrmann, M., Caldwell, T., Likos, W.J., Waugh, W.J., Williams, M.M., and Benson, C.H., 2023, Evolving radon diffusion through earthen barriers at uranium waste disposal sites: Journal of Environmental Radioactivity, v. 262, 107140, 7 p., https://doi.org/10.1016/j.jenvrad.2023.107140.","productDescription":"107140, 7 p.","ipdsId":"IP-140005","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":444139,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2424456","text":"External Repository"},{"id":414702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuhrmann, Mark","contributorId":293204,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"Mark","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":867453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likos, William J. 0000-0001-8177-6625","orcid":"https://orcid.org/0000-0001-8177-6625","contributorId":303390,"corporation":false,"usgs":false,"family":"Likos","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":867455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waugh, W. Jodi","contributorId":303391,"corporation":false,"usgs":false,"family":"Waugh","given":"W.","email":"","middleInitial":"Jodi","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Morgan M.","contributorId":303392,"corporation":false,"usgs":false,"family":"Williams","given":"Morgan","email":"","middleInitial":"M.","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benson, Craig H. 0000-0001-8871-382X","orcid":"https://orcid.org/0000-0001-8871-382X","contributorId":303394,"corporation":false,"usgs":false,"family":"Benson","given":"Craig","email":"","middleInitial":"H.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":867458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255298,"text":"70255298 - 2023 - Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","interactions":[],"lastModifiedDate":"2024-06-14T12:24:56.984299","indexId":"70255298","displayToPublicDate":"2023-03-21T07:19:45","publicationYear":"2023","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":"Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","docAbstract":"

Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack conditions. We built linear models to relate SDDs at the monitoring sites to topoclimatic and canopy cover metrics. One model to quantify SDDs included elevation, aspect, and an interaction between canopy cover and cold-air pooling potential. High-elevation, north-facing sites in cold-air pools (CAPs) had the latest SDDs, but isolated lower-elevation points also exhibited relatively late potential SDDs. Importantly, canopy cover had a much stronger effect on SDDs in CAPs than in non-CAPs, indicating that best practices in forest management for snow refugia could vary across microtopography. A second model that included in situ hydroclimate observations (December–February (DJF) temperature and March 1 snow depth) indicated that March 1 snow depth had little impact on SDD at the coldest winter temperatures, and that DJF temperatures had a stronger effect on SDD at lower snow depths, implying that the relative importance of snowfall and temperature could vary across hydroclimatic contexts in their impact on snow refugia. This new understanding of factors influencing snow refugia can guide forest management actions to increase snow retention and inform management of snow-dependent wildlife species in complex terrain.

","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/acbb90","usgsCitation":"Strickfaden, K.M., Marshall, A.M., Svancara, L.K., Dugger, K., and Link, T.E., 2023, Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho: Environmental Research Letters, v. 18, 044014, 11 p., https://doi.org/10.1088/1748-9326/acbb90.","productDescription":"044014, 11 p.","ipdsId":"IP-147918","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbb90","text":"Publisher Index Page"},{"id":430200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Strickfaden, Kaitlyn M.","contributorId":339386,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Adrienne M.","contributorId":339387,"corporation":false,"usgs":false,"family":"Marshall","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":904128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":339389,"corporation":false,"usgs":false,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Timothy E.","contributorId":339393,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249179,"text":"70249179 - 2023 - Extensive regional variation in the phenology of insects and their response to temperature across North America","interactions":[],"lastModifiedDate":"2023-09-29T12:29:08.333477","indexId":"70249179","displayToPublicDate":"2023-03-21T07:02:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Extensive regional variation in the phenology of insects and their response to temperature across North America","docAbstract":"

Climate change models often assume similar responses to temperatures across the range of a species, but local adaptation or phenotypic plasticity can lead plants and animals to respond differently to temperature in different parts of their range. To date, there have been few tests of this assumption at the scale of continents, so it is unclear if this is a large-scale problem. Here, we examined the assumption that insect taxa show similar responses to temperature at 96 sites in grassy habitats across North America. We sampled insects with Malaise traps during 2019–2021 (N = 1041 samples) and examined the biomass of insects in relation to temperature and time of season. Our samples mostly contained Diptera (33%), Lepidoptera (19%), Hymenoptera (18%), and Coleoptera (10%). We found strong regional differences in the phenology of insects and their response to temperature, even within the same taxonomic group, habitat type, and time of season. For example, the biomass of nematoceran flies increased across the season in the central part of the continent, but it only showed a small increase in the Northeast and a seasonal decline in the Southeast and West. At a smaller scale, insect biomass at different traps operating on the same days was correlated up to ~75 km apart. Large-scale geographic and phenological variation in insect biomass and abundance has not been studied well, and it is a major source of controversy in previous analyses of insect declines that have aggregated studies from different locations and time periods. Our study illustrates that large-scale predictions about changes in insect populations, and their causes, will need to incorporate regional and taxonomic differences in the response to temperature.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4036","usgsCitation":"Dunn, P., Ahmed, I., Armstrong, E., Barlow, N., Barnard, M., Belisle, M., Benson, T., Berzins, L., Boynton, C., Brown, T.A., Cady, M., Cameron, K., Chen, X., Clark, B., Clotfelter, E., Cromwell, K., Dawson, R., Denton, E., Forbes, A., Fowler, K., Gandhi, K., Garant, D., Hiebert, M., Houchen, C., Houtz, J., Imlay, T., Inouye, B., Inouye, D., Jackson, M., Jacobson, A., Jayd, K., Juteau, C., Kautz, A., Killian, C., Komatsu, K.J., Larsen, K., Laughlin, A., Levesque-Beaudin, V., Leys, R., Long, E., Lougheed, S., Mackenzie, S., Marangelo, J., Miller, C., Molano-Flores, B., Morrissey, C., Nicholls, E., Orlofske, J., Pearse, I., Peck, K., Pelletier, F., Pitt, A., Poston, J., Racke, D., Randall, J.A., Richardson, M., Rooney, O., Ruegg, A.R., Rush, S., Ryan, S.J., Sadowski, M., Schoepf, I., Schulz, L., Shea, B., Sheehan, T., Siefferman, L., Sikes, D., Stanback, M., Styrsky, J., Styrsky, J., Taff, C., Uehling, J., Uvino, K., Wassmer, T., Weglarz, K., Weinberger, M., Wenzel, J., and Whittingham, L., 2023, Extensive regional variation in the phenology of insects and their response to temperature across North America: Ecology, v. 104, no. 5, e4036, 17 p., https://doi.org/10.1002/ecy.4036.","productDescription":"e4036, 17 p.","ipdsId":"IP-116242","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4036","text":"Publisher Index Page"},{"id":421386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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In this Perspective, we put forward an integrative framework to improve estimates of land-atmosphere carbon exchange based on the accumulation of carbon in the landscape as constrained by its lateral export through rivers. The framework uses the watershed as the fundamental spatial unit and integrates all terrestrial and aquatic ecosystems as well as their hydrologic carbon exchanges. Application of the framework should help bridge the existing gap between land and atmosphere-based approaches and offers a platform to increase communication and synergy among the terrestrial, aquatic, and atmospheric research communities that is paramount to advance landscape carbon budget assessments.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-37232-2","usgsCitation":"Casas-Ruiz, J., Bodmer, P., Bona, K.A., Butman, D., Couturier, M., Emilson, E.J., Finlay, K., Genet, H., Hayes, D., Karlsson, J., Pare, D., Peng, C., Striegl, R.G., Webb, J., Wei, X., Ziegler, S., and Del Giorgio, P., 2023, Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange: Nature Communications, v. 14, 1571, 17 p., https://doi.org/10.1038/s41467-023-37232-2.","productDescription":"1571, 17 p.","ipdsId":"IP-146296","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37232-2","text":"Publisher Index Page"},{"id":414690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Casas-Ruiz, Joan","contributorId":303397,"corporation":false,"usgs":false,"family":"Casas-Ruiz","given":"Joan","email":"","affiliations":[{"id":65789,"text":"Research Group on Ecology of Inland Waters, Institute of Aquatic Ecology, University of Girona, Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":867499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodmer, Pascal","contributorId":303398,"corporation":false,"usgs":false,"family":"Bodmer","given":"Pascal","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques, Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bona, Kelly Ann","contributorId":303399,"corporation":false,"usgs":false,"family":"Bona","given":"Kelly","email":"","middleInitial":"Ann","affiliations":[{"id":65791,"text":"Environment and Climate Change Canada, Gatineau, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":867501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. 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Landslides pose a threat to life and infrastructure and are influenced by anthropogenic modifications associated with land development. These modifications can affect susceptibility to landslides, and thus quantifying their influence on landslide occurrence can help design sustainable development efforts. Although landslide susceptibility has been shown to increase following urban expansion, the long-lasting effect of urbanization on landslide susceptibility remains largely unquantified. Hence, susceptibility maps developed based on inventories from non-urbanized areas may incorrectly evaluate the hazard in urbanized areas. To quantify this effect, we analyzed a landslide inventory from southwestern Pennsylvania, where the pulse of urbanization occurred more than a decade before the inventory was created. Using road density as a proxy for urbanization, the study area was divided into urbanized and non-urbanized areas. Susceptibility patterns were computed using statistical analyses of a post-urbanization landslide inventory together with maps of topographic, land cover, and geologic factors. A pre-urbanization landslide inventory was used as a control. Our findings indicate that urbanization has a decades-long effect on landslide susceptibility, where urbanized areas are generally more susceptible to landslides. In urbanized areas landslides are strongly associated with distance from roads and topographic curvature, whereas in non-urbanized landslides are strongly associated with stratigraphic formation and distance from streams. The consistent differences in susceptibility patterns between urbanized and non-urbanized areas indicate that urbanization has a long-lasting effect on landslide susceptibility and that susceptibility estimates should be made separately for these different environments to account for the persistent influence of urbanization.

","language":"English","publisher":"Springer","doi":"10.1007/s10346-023-02050-6","usgsCitation":"Rohan, T., Shelef, E., Mirus, B., and Coleman, T., 2023, Prolonged influence of urbanization on landslide susceptibility: Landslides, v. 20, p. 1433-1447, https://doi.org/10.1007/s10346-023-02050-6.","productDescription":"15 p.","startPage":"1433","endPage":"1447","ipdsId":"IP-137866","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":414764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.17340193949869,\n 40.579452133548045\n ],\n [\n -80.17340193949869,\n 40.28689526175373\n ],\n [\n -79.7753187844297,\n 40.28689526175373\n ],\n [\n -79.7753187844297,\n 40.579452133548045\n ],\n [\n -80.17340193949869,\n 40.579452133548045\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rohan, Tyler","contributorId":303562,"corporation":false,"usgs":false,"family":"Rohan","given":"Tyler","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelef, Eitan","contributorId":303563,"corporation":false,"usgs":false,"family":"Shelef","given":"Eitan","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":867554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, Tim","contributorId":303564,"corporation":false,"usgs":false,"family":"Coleman","given":"Tim","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":867555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241605,"text":"70241605 - 2023 - Classifying freshwater salinity regimes in central and western U.S. streams and rivers","interactions":[],"lastModifiedDate":"2023-03-24T11:45:02.912093","indexId":"70241605","displayToPublicDate":"2023-03-21T06:42:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Classifying freshwater salinity regimes in central and western U.S. streams and rivers","docAbstract":"

Freshwater salinization of rivers is occurring across the globe because of nonpoint source loading of salts from anthropogenic activities such as agriculture, urbanization, and resource extraction that accelerate weathering and release salts. Multidecadal trends in river salinity are well characterized, yet our understanding of annual regimes of salinity in rivers draining diverse central and western U.S. landscapes and their associated catchment attributes is limited. We classified annual salinity regimes in 242 stream locations through dynamic time warping and fuzzy c-medoids clustering of salinity time series. We found two dominant regimes in salinity characterized by an annual summer–fall peak or spring decline. Using random forest regression, we found that precipitation amount, stream slope, and soil salinity were the most important predictors of salinity regime classification. Advancing our understanding of salinity regimes in rivers will improve our ability to predict and mitigate the effects of salinization in freshwater ecosystems through management interventions.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10251","usgsCitation":"Bolotin, L., Summers, B., Savoy, P., and Blaszczak, J., 2023, Classifying freshwater salinity regimes in central and western U.S. streams and rivers: Limnology and Oceanography Letters, v. 8, no. 1, p. 103-111, https://doi.org/10.1002/lol2.10251.","productDescription":"9 p.","startPage":"103","endPage":"111","ipdsId":"IP-135747","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10251","text":"Publisher Index Page"},{"id":414688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.648366924961,\n 49.896434024635596\n ],\n [\n -126.648366924961,\n 27.852472947447197\n ],\n [\n -90.10158788853641,\n 27.852472947447197\n ],\n [\n -90.10158788853641,\n 49.896434024635596\n ],\n [\n -126.648366924961,\n 49.896434024635596\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Bolotin, Lauren 0000-0002-0295-9544","orcid":"https://orcid.org/0000-0002-0295-9544","contributorId":303395,"corporation":false,"usgs":false,"family":"Bolotin","given":"Lauren","email":"","affiliations":[{"id":65787,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":867465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summers, Betsy 0000-0001-9106-1316","orcid":"https://orcid.org/0000-0001-9106-1316","contributorId":303396,"corporation":false,"usgs":false,"family":"Summers","given":"Betsy","email":"","affiliations":[{"id":65788,"text":"University of New Mexico, Department of Civil, Construction and Environmental Engineering, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":867466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":867468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248698,"text":"70248698 - 2023 - Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","interactions":[],"lastModifiedDate":"2023-09-18T15:11:46.537668","indexId":"70248698","displayToPublicDate":"2023-03-20T10:08:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","docAbstract":"

This research builds upon the extensive body of work to model exotic annual grass (EAG) characteristics and invasion. EAGs increase wildland fire risk and intensifies wildland fire behavior in western U.S. rangelands. Therefore, understanding characteristics of EAG growth increases understanding of its dynamics and can inform rangeland management decisions. To better understand EAG phenology and spatial distribution, monthly weather (precipitation, minimum and maximum temperature) variables were analyzed for 24 level III ecoregions. This research characterizes EAGs’ phenology identified by a normalized difference vegetation index (NDVI) threshold-based interpolation technique. An EAG phenology metric model was used to estimate a growing season dynamic for the years 2017–2021 for shrub and herbaceous land cover types in the western conterminous United States (66% of the area). The EAG phenology metrics include six growing season metrics such as start of season time, end of season time, and time of maximum NDVI during the growing season. The models’ cross validation results for Pearson’s r ranged from 0.88 to 0.95. Increased understanding of the effects that weather conditions have on EAG growth and spatial distribution can help land managers develop time-sensitive plans to protect entities deemed valuable to society like native habitat, wildlife, recreational areas, and air quality.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03021-7","usgsCitation":"Benedict, T.D., Boyte, S., Dahal, D., Shrestha, D., Parajuli, S., and Megard, L.J., 2023, Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions: Biological Invasions, v. 25, no. 6, p. 2023-2041, https://doi.org/10.1007/s10530-023-03021-7.","productDescription":"19 p.","startPage":"2023","endPage":"2041","ipdsId":"IP-142073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10530-023-03021-7","text":"Publisher Index Page"},{"id":420892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western rangeland ecoregions","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.65411238548961,\n 31.65662850136495\n ],\n [\n -104.9541814790613,\n 30.58151996545881\n ],\n [\n -103.96447875595098,\n 29.147693161865604\n ],\n [\n -103.06464516959142,\n 29.01291370558677\n ],\n [\n -101.94430938864508,\n 29.88249002262684\n ],\n [\n -103.45985376651976,\n 33.39173604645855\n ],\n [\n -99.9051666033819,\n 36.453592386571685\n ],\n [\n -104.37905123731514,\n 40.4174214338594\n ],\n [\n -102.76693247266672,\n 43.27871255434721\n ],\n [\n -103.45312273615582,\n 43.867000211596064\n ],\n [\n -103.06932872484526,\n 47.50819129704254\n ],\n [\n -104.24197507604552,\n 48.955629038432335\n ],\n [\n -119.90989162686165,\n 48.90834227423642\n ],\n [\n -124.03359295438983,\n 39.59312960077685\n ],\n [\n -121.36210304368723,\n 35.84218979482037\n ],\n [\n -120.6017562531803,\n 34.4275595810672\n ],\n [\n -117.12832408303154,\n 33.146855326580635\n ],\n [\n -116.70587798426669,\n 32.4966470230782\n ],\n [\n -114.4290589092368,\n 32.50784479236498\n ],\n [\n -110.84210298257005,\n 31.247145770122813\n ],\n [\n -108.1485377455515,\n 31.368189624235015\n ],\n [\n -108.17048369674617,\n 31.766144953613477\n ],\n [\n -106.65411238548961,\n 31.65662850136495\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Benedict, Trenton D 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":256662,"corporation":false,"usgs":false,"family":"Benedict","given":"Trenton","email":"","middleInitial":"D","affiliations":[{"id":51826,"text":"KBR, Inc. 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Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Megard, Logan J. 0000-0002-0150-4521","orcid":"https://orcid.org/0000-0002-0150-4521","contributorId":275655,"corporation":false,"usgs":false,"family":"Megard","given":"Logan","email":"","middleInitial":"J.","affiliations":[{"id":56872,"text":"C2G Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883237,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266729,"text":"70266729 - 2023 - Multistage hierarchical capture–recapture models","interactions":[],"lastModifiedDate":"2025-05-12T14:59:43.43047","indexId":"70266729","displayToPublicDate":"2023-03-20T09:57:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Multistage hierarchical capture–recapture models","docAbstract":"

Ecologists increasingly rely on Bayesian methods to fit capture–recapture models. Capture–recapture models are used to estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations exist for such models, including integrated likelihood, parameter-expanded data augmentation, and combinations of those. Capture–recapture models with latent random effects can be computationally intensive to fit using conventional Bayesian algorithms. We identify alternative specifications of capture–recapture models by considering a conditional representation of the model structure. The resulting alternative model can be specified in a way that leads to more stable computation and allows us to fit the desired model in stages while leveraging parallel computing resources. Our model specification includes a component for the capture history of detected individuals and another component for the sample size which is random before observed. We demonstrate this approach using three examples including simulation and two datasets resulting from capture–recapture studies of different species.

","language":"English","publisher":"Wiley","doi":"10.1002/env.2799","usgsCitation":"Hooten, M., Schwob, M., Johnson, D., and Ivan, J., 2023, Multistage hierarchical capture–recapture models, v. 34, no. 6, e2799, 14 p., https://doi.org/10.1002/env.2799.","productDescription":"e2799, 14 p.","ipdsId":"IP-129867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":936613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwob, Michael 0000-0001-6367-2013","orcid":"https://orcid.org/0000-0001-6367-2013","contributorId":315373,"corporation":false,"usgs":false,"family":"Schwob","given":"Michael","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":936614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin","contributorId":346945,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":936616,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241438,"text":"70241438 - 2023 - Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","interactions":[],"lastModifiedDate":"2023-03-20T14:59:25.897924","indexId":"70241438","displayToPublicDate":"2023-03-20T09:51:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","docAbstract":"

The Round Goby (Neogobius melanostomus) is an invasive benthic fish indigenous to the Ponto-Caspian region of Eurasia. It recently colonized the Great Lakes and has expanded eastward through the New York State Canal System over the past decade. The species was first documented in the Mohawk River watershed in 2014 and was found in the Hudson River in 2021. Round Goby can adversely affect aquatic ecosystems in many ways such as outcompeting native benthic fishes, consuming the eggs of nest-building species such as Smallmouth Bass (Micropterus dolomieu), and transferring contaminants to higher trophic levels (e.g., desirable gamefish). They can also carry the viral hemorrhagic septicemia (VHS) virus which has been linked to fish kills in New York and some evidence suggests Round Goby are an important vector in avian botulism outbreaks. However, the presence of Round Goby has also been linked to faster growth rate and larger maximum size of some predators such as Smallmouth Bass. ed watersheds of the northeastern United States.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mohawk Watershed Symposium 2023 abstracts and program","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Mohawk Watershed Symposium 2023","conferenceDate":"March 17, 2023","conferenceLocation":"Schenectady, NY","language":"English","publisher":"Union College","usgsCitation":"George, S.D., Baldigo, B., Rees, C., Bartron, M.L., Pendleton, R., and Pearson, S., 2023, Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?, in Mohawk Watershed Symposium 2023 abstracts and program, Schenectady, NY, March 17, 2023, p. 21-23.","productDescription":"3 p.","startPage":"21","endPage":"23","ipdsId":"IP-148828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":414370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414368,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2023/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Hudson River, Mohawk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.2056012272887,\n 44.87799282933736\n ],\n [\n -76.62652177537367,\n 44.87799282933736\n ],\n [\n -76.62652177537367,\n 41.997425542519494\n ],\n [\n -73.2056012272887,\n 41.997425542519494\n ],\n [\n -73.2056012272887,\n 44.87799282933736\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":866854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":866855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":866856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Steven","contributorId":303228,"corporation":false,"usgs":false,"family":"Pearson","given":"Steven","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248116,"text":"70248116 - 2023 - The Associate Editor in the peer review process—what's that?","interactions":[],"lastModifiedDate":"2023-09-05T12:21:43.26922","indexId":"70248116","displayToPublicDate":"2023-03-20T07:19:32","publicationYear":"2023","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":"The Associate Editor in the peer review process—what's that?","docAbstract":"

No abstract available. 

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22395","usgsCitation":"Nicholson, K., Paszkowski, C., Kuenzi, A., Schoenecker, K., and Merrill, E., 2023, The Associate Editor in the peer review process—what's that?: Journal of Wildlife Management, v. 87, no. 4, e22395, 4 p., https://doi.org/10.1002/jwmg.22395.","productDescription":"e22395, 4 p.","ipdsId":"IP-149459","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22395","text":"Publisher Index Page"},{"id":420467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Kerry 0000-0001-9951-9897","orcid":"https://orcid.org/0000-0001-9951-9897","contributorId":329033,"corporation":false,"usgs":false,"family":"Nicholson","given":"Kerry","email":"","affiliations":[{"id":50377,"text":"Alaska Dept of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":881952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paszkowski, Cynthia","contributorId":329034,"corporation":false,"usgs":false,"family":"Paszkowski","given":"Cynthia","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":881953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuenzi, Amy 0000-0003-2238-3703","orcid":"https://orcid.org/0000-0003-2238-3703","contributorId":329035,"corporation":false,"usgs":false,"family":"Kuenzi","given":"Amy","email":"","affiliations":[{"id":49605,"text":"Montana Technological University","active":true,"usgs":false}],"preferred":false,"id":881954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merrill, Evelyn 0000-0001-7737-958X","orcid":"https://orcid.org/0000-0001-7737-958X","contributorId":329036,"corporation":false,"usgs":false,"family":"Merrill","given":"Evelyn","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":881956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}