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Sample-based estimates augmented by complete coverage land-cover maps were used to estimate area and describe patterns of annual land-cover change across the conterminous United States (CONUS) between 1985 and 2016. Most of the CONUS land cover remained stable in terms of net class change over this time, but a substantial gross change dynamic was captured by the annual and cumulative time intervals. The dominant types of changes can be grouped into natural resource cycles, increases in urbanization, and surface-water dynamics. The annual estimates over the 30-year time series showed a reduction in the rate of urban expansion after 2006, new growth in cropland after 2007, but a net overall decline in cropland since 1985, and two eras of net tree cover loss, the first one early in the time series and the second starting in 2012. Our study provides a holistic assessment of the CONUS land-cover conversion (class) change and can serve as a new benchmark for future research. 
","language":"English","publisher":"MDPI","doi":"10.3390/land11020298","usgsCitation":"Auch, R.F., Wellington, D.F., Taylor, J.L., Stehman, S.V., Tollerud, H.J., Brown, J.F., Loveland, T., Pengra, B., Horton, J., Zhu, Z., Midekisa, A., Sayler, K., Xian, G.Z., Barnes, C., and Reker, R.R., 2022, Conterminous United States land-cover change (1985-2016): New insights from annual time series: Land, v. 11, no. 2, 298, 20 p., https://doi.org/10.3390/land11020298.","productDescription":"298, 20 p.","ipdsId":"IP-127591","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":448783,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land11020298","text":"Publisher Index Page"},{"id":435965,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96BM1YV","text":"USGS data release","linkHelpText":"LCMAP CONUS Geographic Assessment Data Tables v1.0 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rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840624,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70228601,"text":"70228601 - 2022 - Experimental evaluation of predator exclosures on nest, chick, and adult survival of piping plovers","interactions":[],"lastModifiedDate":"2022-02-14T14:42:27.814026","indexId":"70228601","displayToPublicDate":"2022-02-14T08:31:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evaluation of predator exclosures on nest, chick, and adult survival of piping plovers","docAbstract":"

Species of conservation concern often receive intensive management to improve vital rates and facilitate recovery. Piping plovers (Charadrius melodus) are federally listed in the United States and concerns over nest depredation have prompted widespread use of plover-permeable predator exclosures placed around nests (0.5–2-m radius). While effectiveness of exclosures for improving nest survival has been demonstrated, concerns remain about decreased chick survival (through predator cueing or density-dependent processes) or increased vulnerability of adults to predation (ambush as adult leaves exclosure). Either one of these concerns could demographically outweigh the benefits of increased nest survival. During 2014–2016, we conducted an experiment designed to evaluate survival of uniquely identified nests (n = 418), chicks (n = 453), and adults (n = 367) at wetlands across the Northern Great Plains, USA. We assigned wetlands (n2014 = 26, n2015 = 28, n2016 = 25) into 2 groups: wetlands in which half of the nests received exclosures and wetlands in which none of the nests received exclosures. Exclosed nests had greater cumulative survival (0.73 [85% CI = 0.70–0.77]) than unexclosed nests at treatment wetlands (0.58 [0.54–0.62]) or unexclosed nests at control wetlands (0.52 [0.49–0.56]). Survival to fledging was highest for chicks hatched from exclosed nests (0.51 [0.47–0.56]), and similar between chicks hatched from unexclosed nests at treatment (0.34 [0.30–0.39]) and control (0.37 [0.32–0.42]) wetlands. Cumulative survival of adults during incubation varied by exclosure status, but adults associated with exclosed nests (0.90 [0.88–0.93]) and unexclosed nests at treatment wetlands (0.89 [0.86–0.92]) had greater survival than those associated with unexclosed nests at control wetlands (0.75 [0.64–0.84]). Adult annual survival rates varied by year (0.79–0.95) but not by exclosure status. The positive influence of exclosures on nest survival was not offset by a reduction in chick or adult survival, indicating that exclosures are a viable tool for piping plover conservation.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.22139","usgsCitation":"Anteau, M.J., Swift, R.J., Sherfy, M.H., Koons, D.N., Ellis, K.S., Shaffer, T.L., Toy, D.L., and Ring, M., 2022, Experimental evaluation of predator exclosures on nest, chick, and adult survival of piping plovers: Journal of Wildlife Management, v. 86, no. 1, p. 1-21, https://doi.org/10.1002/jwmg.22139.","productDescription":"e22139, 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-127631","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":435969,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YUXKEC","text":"USGS data release","linkHelpText":"Experimental evaluation of predator exclosures on nest, chick, and adult survival data for the Northern Great Plains piping plover, 2014 - 2016"},{"id":395879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.8699951171875,\n 48.38544219115483\n ],\n [\n -103.546142578125,\n 48.011975126709956\n ],\n [\n -103.194580078125,\n 48.12943437745315\n ],\n [\n -102.7716064453125,\n 48.09275716032736\n ],\n [\n -102.65075683593749,\n 47.912660308427654\n ],\n [\n -102.5518798828125,\n 47.8094654494779\n ],\n [\n -102.35412597656249,\n 47.8094654494779\n ],\n [\n -102.293701171875,\n 47.632081940263305\n ],\n [\n -101.9586181640625,\n 47.491224888201955\n ],\n [\n -101.524658203125,\n 47.54687159892238\n ],\n [\n -101.414794921875,\n 47.33510005753559\n ],\n [\n -101.0797119140625,\n 47.31648293428332\n ],\n [\n 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Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":834740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834742,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834743,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834744,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262478,"text":"70262478 - 2022 - Immunological evidence of variation in exposure and immune response to Bacillus anthracis in herbivores of Kruger and Etosha National Parks","interactions":[],"lastModifiedDate":"2025-01-23T16:56:26.337064","indexId":"70262478","displayToPublicDate":"2022-02-13T10:48:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5620,"text":"Frontiers in Immunology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Immunological evidence of variation in exposure and immune response to Bacillus anthracis in herbivores of Kruger and Etosha National Parks","title":"Immunological evidence of variation in exposure and immune response to Bacillus anthracis in herbivores of Kruger and Etosha National Parks","docAbstract":"

Exposure and immunity to generalist pathogens differ among host species and vary across spatial scales. Anthrax, caused by a multi-host bacterial pathogen, Bacillus anthracis, is enzootic in Kruger National Park (KNP), South Africa and Etosha National Park (ENP), Namibia. These parks share many of the same potential host species, yet the main anthrax host in one (greater kudu (Tragelaphus strepsiceros) in KNP and plains zebra (Equus quagga) in ENP) is only a minor host in the other. We investigated species and spatial patterns in anthrax mortalities, B. anthracis exposure, and the ability to neutralize the anthrax lethal toxin to determine if observed host mortality differences between locations could be attributed to population-level variation in pathogen exposure and/or immune response. Using serum collected from zebra and kudu in high and low incidence areas of each park (18- 20 samples/species/area), we estimated pathogen exposure from anti-protective antigen (PA) antibody response using enzyme-linked immunosorbent assay (ELISA) and lethal toxin neutralization with a toxin neutralization assay (TNA). Serological evidence of pathogen exposure followed mortality patterns within each system (kudus: 95% positive in KNP versus 40% in ENP; zebras: 83% positive in ENP versus 63% in KNP). Animals in the high-incidence area of KNP had higher anti-PA responses than those in the low-incidence area, but there were no significant differences in exposure by area within ENP. Toxin neutralizing ability was higher for host populations with lower exposure prevalence, i.e., higher in ENP kudus and KNP zebras than their conspecifics in the other park. These results indicate that host species differ in their exposure to and adaptive immunity against B. anthracis in the two parks. These patterns may be due to environmental differences such as vegetation, rainfall patterns, landscape or forage availability between these systems and their interplay with host behavior (foraging or other risky behaviors), resulting in differences in exposure frequency and dose, and hence immune response.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fimmu.2022.814031","usgsCitation":"Ochai, S.O., Crafford, J., Hassim, A., Byaruhanga, C., Huang, Y., Hartmann, A., Dekker, E., van Schalkwyk, O., Kamath, P., Turner, W.C., and van Heerden, H., 2022, Immunological evidence of variation in exposure and immune response to Bacillus anthracis in herbivores of Kruger and Etosha National Parks: Frontiers in Immunology, v. 13, 814031, 17 p., https://doi.org/10.3389/fimmu.2022.814031.","productDescription":"814031, 17 p.","ipdsId":"IP-135065","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fimmu.2022.814031","text":"Publisher Index Page"},{"id":481008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia, South Africa","otherGeospatial":"Etosha National Park, Kruger National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.99697075011565,\n -17.9704803255822\n ],\n [\n 14.042362443293712,\n -19.592355004499595\n ],\n [\n 17.575676967960106,\n -19.575250462094317\n ],\n [\n 17.575676967960106,\n -17.953206628620634\n ],\n [\n 13.99697075011565,\n -17.9704803255822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 30.65264945923775,\n -22.32856930947861\n ],\n [\n 31.245229473428566,\n -25.55857896070789\n ],\n [\n 32.07283709158796,\n -25.569715149900304\n ],\n [\n 31.896147080990332,\n -23.97674400909702\n ],\n [\n 31.31940421620908,\n -22.35940535120622\n ],\n [\n 30.65264945923775,\n -22.32856930947861\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2022-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochai, Sunday O.","contributorId":342466,"corporation":false,"usgs":false,"family":"Ochai","given":"Sunday","email":"","middleInitial":"O.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crafford, Jan E.","contributorId":349435,"corporation":false,"usgs":false,"family":"Crafford","given":"Jan E.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hassim, Ayesha","contributorId":342327,"corporation":false,"usgs":false,"family":"Hassim","given":"Ayesha","email":"","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byaruhanga, Charles","contributorId":349439,"corporation":false,"usgs":false,"family":"Byaruhanga","given":"Charles","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Yen-Hua","contributorId":287150,"corporation":false,"usgs":false,"family":"Huang","given":"Yen-Hua","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":924316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartmann, Axel","contributorId":287153,"corporation":false,"usgs":false,"family":"Hartmann","given":"Axel","email":"","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":924317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dekker, Edgar H.","contributorId":343067,"corporation":false,"usgs":false,"family":"Dekker","given":"Edgar H.","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":924318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"van Schalkwyk, O. Louis","contributorId":343075,"corporation":false,"usgs":false,"family":"van Schalkwyk","given":"O. Louis","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kamath, Pauline L.","contributorId":342470,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924311,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Heerden, Henriette","contributorId":343077,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924321,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70228474,"text":"70228474 - 2022 - Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems","interactions":[],"lastModifiedDate":"2022-04-11T16:55:29.843688","indexId":"70228474","displayToPublicDate":"2022-02-11T10:42:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems","docAbstract":"
  1. Sex-based differences in physiology, behaviour and demography commonly result in differences in disease prevalence. However, sex differences in prevalence may reflect exposure rather than transmission, which could affect disease control programmes. One potential example is chronic wasting disease (CWD), which has been observed at greater prevalence among male than female deer.
  2. We used an age- and sex-structured simulation model to explore harvest-based management of CWD under three different transmission scenarios that all generate higher male prevalence: (1) increased male susceptibility, (2) high male-to-male transmission or (3) high female-to-male transmission.
  3. Both female and male harvests were required to limit CWD epidemics across all transmission scenarios (approximated by R0), though invasion was more likely under high female-to-male transmission.
  4. In simulations, heavily male-biased harvests controlled CWD epidemics and maintained large host populations under high male-to-male transmission and increased male susceptibility scenarios. However, male-biased harvests were ineffective under high female-to-male transmission. Instead, female-biased harvests were able to limit disease transmission under high female-to-male transmission but incurred a trade-off with smaller population sizes.
  5. Synthesis and applications. Higher disease prevalence in a sex or age group may be due to higher exposure or susceptibility but does not necessarily indicate if that group is responsible for more disease transmission. We showed that multiple processes can result in the pattern of higher male prevalence, but that population-level management interventions must focus on the sex responsible for disease transmission, not just those that are most exposed.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.14125","usgsCitation":"Rogers, W.J., Brandell, E.E., and Cross, P., 2022, Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems: Journal of Applied Ecology, v. 59, no. 4, p. 1122-1133, https://doi.org/10.1111/1365-2664.14125.","productDescription":"12 p.","startPage":"1122","endPage":"1133","ipdsId":"IP-123579","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14125","text":"Publisher Index Page"},{"id":395849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"editors":[{"text":"McCallum, Hamish","contributorId":174852,"corporation":false,"usgs":false,"family":"McCallum","given":"Hamish","affiliations":[],"preferred":false,"id":834513,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Rogers, William J.","contributorId":173588,"corporation":false,"usgs":false,"family":"Rogers","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":834384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandell, Ellen E.","contributorId":253140,"corporation":false,"usgs":false,"family":"Brandell","given":"Ellen","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":834385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":834386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229086,"text":"70229086 - 2022 - Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks","interactions":[],"lastModifiedDate":"2022-02-28T14:52:31.521726","indexId":"70229086","displayToPublicDate":"2022-02-09T08:47:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks","docAbstract":"

The Mw\">Mw 6.4 Southwest Puerto Rico Earthquake of 7 January 2020 was accompanied by a robust fore‐ and aftershock sequence. The U.S. Geological Survey (USGS) has issued regular aftershock forecasts for more than a year since the mainshock, available on a public webpage. Forecasts were accompanied by interpretive and informational material, published in English and Spanish. Informational products included narrative “scenarios” for how the aftershock sequence could play out, infographics, and a report on the potential duration of the aftershock sequence through the next decade. Forecasts are based on the epidemic‐type aftershock sequence (ETAS) model and generated using the USGS AftershockForecaster software—an interactive graphical user interface built on the OpenSHA platform (Field et al., 2003). The initial forecast is based on past sequences in similar tectonic environments; subsequent forecasts are tuned to the ongoing sequence via Bayesian model updating. Probabilistic aftershock forecasts for the next day, week, month, and year were publicly released and archived at a daily to monthly tempo, allowing for a truly prospective test of the forecast. Here, we evaluate the forecast over the first year of the recorded aftershocks. The ETAS‐based forecast performed well overall, successfully capturing both the chance of having at least one earthquake of a given magnitude in a forecast interval as well as the non‐Poissonian distribution of the total number of aftershocks within an interval. A retrospective analysis shows that the ETAS model is a substantial improvement over the existing Reasenberg and Jones (1989) forecast model. The exercise also reveals some limitations of the current model, in particular, with respect to nonstationarities in the aftershock magnitude distribution and model parameters throughout the evolving sequence.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210222","usgsCitation":"van der Elst, N., Hardebeck, J.L., Michael, A.J., McBride, S., and Vanacore, E., 2022, Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks: Seismological Research Letters, v. 93, no. 2A, p. 620-640, https://doi.org/10.1785/0220210222.","productDescription":"21 p.","startPage":"620","endPage":"640","ipdsId":"IP-132558","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":396546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.22259521484375,\n 17.906875582164254\n ],\n [\n -66.90811157226562,\n 17.906875582164254\n ],\n [\n -66.90811157226562,\n 18.184997171309004\n ],\n [\n -67.22259521484375,\n 18.184997171309004\n ],\n [\n -67.22259521484375,\n 17.906875582164254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","issue":"2A","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":836441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":836442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":836443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":836444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanacore, Elizabeth","contributorId":287037,"corporation":false,"usgs":false,"family":"Vanacore","given":"Elizabeth","affiliations":[{"id":61452,"text":"Univ. of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":836445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232643,"text":"70232643 - 2022 - Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific","interactions":[],"lastModifiedDate":"2022-07-11T11:28:14.938622","indexId":"70232643","displayToPublicDate":"2022-02-09T06:24:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific","docAbstract":"

Viti Levu, Fiji, provides one of the best exposed Phanerozoic analogues for the formation of juvenile continental crust in an intra-oceanic setting. Tonalites and trondhjemites are present in several large (75–150 km2) adjacent, mid-Cenozoic plutons. We report major and trace element data including rare earth element (REE) and high-precision high field strength element (HFSE) compositions, new Hf-Nd-Sr-Pb isotope data, and zircon U/Pb-ages, O-Hf isotopes, and trace elements, from five different plutons. The Eocene Yavuna pluton and the Miocene Colo plutons are mainly composed of tonalites and trondhjemites and represent the exposed middle crust of the former Vitiaz island arc. The plutons can be divided into three suites. One suite is light REE (LREE) depleted with some trace element ratios lower than average normal mid-ocean ridge basalts (N-MORB). A second suite has flat REE patterns similar to local island arc basalts. Both suites occur near the coast of Viti Levu, include a wide compositional spectrum from gabbro to tonalite, and can be produced mostly by fractional crystallization of mafic precursor melts. The third suite is characterized by LREE enrichments with higher LaN/YbN (2.3–4.9), higher Zr/Y (4.3–7.1), and lower Nb/Ta (9.6–12.4). They occur closer to the center of the island and are bimodal trondhjemite-gabbro intrusions. These characteristics are consistent with formation mostly by partial melting of mafic crust. Trace element modeling shows that the trace element ratios of the third suite can be produced by 10–20 % melting of the mafic crust in the presence of residual amphibole, resulting in the retention of the medium REE (MREE) and diagnostic trace element ratios including low Nb/Ta and high Zr/Y. Geochemical similarities of the LREE enriched suite to typical “low”-pressure Archean tonalites-trondhjemites-granodiorites (TTGs) imply a common petrogenetic origin and similar mechanisms for the generation of juvenile Archean and modern differentiated crust by partial melting of mafic crust with residual amphibole. In modern oceanic arcs, genetically unrelated felsic plutonic as well as volcanic rocks co-exist, and in this regard, the Fijian plutons accompany major tectonic disruptions to arc processes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.11.033","usgsCitation":"Marien, C.S., Drewes-Todd, E.K., Stork, A., Todd, E., Gill, J.B., Hoffman, J.E., Tani, K., Allen, C.M., and Munker, C., 2022, Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific: Geochimica et Cosmochimica Acta, v. 320, p. 339-365, https://doi.org/10.1016/j.gca.2021.11.033.","productDescription":"26 p.","startPage":"339","endPage":"365","ipdsId":"IP-126025","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":403359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 175.25390624999997,\n -19.76670355171696\n ],\n [\n 182.109375,\n -19.76670355171696\n ],\n [\n 182.109375,\n -14.306969497825788\n ],\n [\n 175.25390624999997,\n -14.306969497825788\n ],\n [\n 175.25390624999997,\n -19.76670355171696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"320","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marien, Chris S.","contributorId":292913,"corporation":false,"usgs":false,"family":"Marien","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":63070,"text":"Institut für Geologie und Mineralogie, University of Cologne, 50674 Köln, Germany","active":true,"usgs":false}],"preferred":false,"id":846163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drewes-Todd, Elizabeth Kathleen 0000-0003-0692-3714","orcid":"https://orcid.org/0000-0003-0692-3714","contributorId":243351,"corporation":false,"usgs":true,"family":"Drewes-Todd","given":"Elizabeth","email":"","middleInitial":"Kathleen","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":846162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stork, Allen","contributorId":292914,"corporation":false,"usgs":false,"family":"Stork","given":"Allen","email":"","affiliations":[{"id":63071,"text":"Department of Geology, Western Colorado University, Gunnison CO, USA","active":true,"usgs":false}],"preferred":false,"id":846164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":846165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":846166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoffman, J. Elis 0000-0001-6670-1393","orcid":"https://orcid.org/0000-0001-6670-1393","contributorId":292915,"corporation":false,"usgs":false,"family":"Hoffman","given":"J.","email":"","middleInitial":"Elis","affiliations":[{"id":63072,"text":"Institut für Geologische Wissenschaften, Freie Universität Berlin, 12249 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":846167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tani, Kenichiro 0000-0003-3374-8608","orcid":"https://orcid.org/0000-0003-3374-8608","contributorId":292916,"corporation":false,"usgs":false,"family":"Tani","given":"Kenichiro","email":"","affiliations":[{"id":63073,"text":"Department of Geology and Palaeontology, National Museum of Nature and Science, Japan","active":true,"usgs":false}],"preferred":false,"id":846168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Charlotte M. 0000-0002-7288-6758","orcid":"https://orcid.org/0000-0002-7288-6758","contributorId":292917,"corporation":false,"usgs":false,"family":"Allen","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":63074,"text":"Research School of Earth Sciences, The Australian National University, Canberra, ACT 0200, Australia","active":true,"usgs":false}],"preferred":false,"id":846169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munker, Carsten 0000-0001-6406-559X","orcid":"https://orcid.org/0000-0001-6406-559X","contributorId":292918,"corporation":false,"usgs":false,"family":"Munker","given":"Carsten","email":"","affiliations":[{"id":63070,"text":"Institut für Geologie und Mineralogie, University of Cologne, 50674 Köln, Germany","active":true,"usgs":false}],"preferred":false,"id":846170,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70222925,"text":"70222925 - 2022 - Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence","interactions":[],"lastModifiedDate":"2022-03-23T15:27:18.978702","indexId":"70222925","displayToPublicDate":"2022-02-08T10:14:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence","docAbstract":"

Distributed faulting typically tends to coalesce into one or a few faults with repeated deformation. The progression of clustered medium-sized (≥Mw4.5) earthquakes during the 2020 seismic sequence in southwestern Puerto Rico (SWPR), modeling shoreline subsidence from InSAR, and sub-seafloor mapping by high-resolution seismic reflection profiles, suggest that the 2020 SWPR seismic sequence was distributed across several short intersecting strike-slip and normal faults beneath the insular shelf and upper slope of Guayanilla submarine canyon. Multibeam bathymetry map of the seafloor shows significant erosion and retreat of the shelf edge in the area of seismic activity as well as slope-parallel lineaments and submarine canyon meanders that typically develop over geological time. The T-axis of the moderate earthquakes further matches the extension direction previously measured on post early Pliocene (∼>3 Ma) faults. We conclude that although similar deformation has likely taken place in this area during recent geologic time, it does not appear to have coalesced during this time. The deformation may represent the southernmost part of a diffuse boundary, the Western Puerto Rico Deformation Boundary, which accommodates differential movement between the Puerto Rico and Hispaniola arc blocks. This differential movement is possibly driven by the differential seismic coupling along the Puerto Rico—Hispaniola subduction zone. We propose that the compositional heterogeneity across the island arc retards the process of focusing the deformation into a single fault. Given the evidence presented here, we should not expect a single large event in this area but similar diffuse sequences in the future.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021TC006896","usgsCitation":"ten Brink, U., Vanacore, L., Fielding, E.J., Chaytor, J., Lopez-Venegas, A., Baldwin, W.E., Foster, D.S., and Andrews, B.D., 2022, Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence: Tectonics, v. 41, no. 3, e2021TC006896, 18 p., https://doi.org/10.1029/2021TC006896.","productDescription":"e2021TC006896, 18 p.","ipdsId":"IP-129343","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448860,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021tc006896","text":"External Repository"},{"id":435976,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96GY6TQ","text":"USGS data release","linkHelpText":"Multichannel seismic-reflection and navigation data collected using SIG ELC1200 and Applied Acoustics Delta Sparkers and Geometrics GeoEel digital streamers during USGS field activity 2020-014-FA."},{"id":397463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Caribbean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.6630859375,\n 13.752724664396988\n ],\n [\n -64.4677734375,\n 13.752724664396988\n ],\n [\n -64.4677734375,\n 21.12549763660628\n ],\n [\n -74.6630859375,\n 21.12549763660628\n ],\n [\n -74.6630859375,\n 13.752724664396988\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":820819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanacore, L","contributorId":263421,"corporation":false,"usgs":false,"family":"Vanacore","given":"L","email":"","affiliations":[{"id":53976,"text":"Dept. of Geology, U. of Puerto Rico, Mayaguez, PR","active":true,"usgs":false}],"preferred":false,"id":820820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fielding, E. J.","contributorId":263422,"corporation":false,"usgs":false,"family":"Fielding","given":"E.","email":"","middleInitial":"J.","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":820821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez-Venegas, A.M.","contributorId":263423,"corporation":false,"usgs":false,"family":"Lopez-Venegas","given":"A.M.","affiliations":[{"id":53976,"text":"Dept. of Geology, U. of Puerto Rico, Mayaguez, PR","active":true,"usgs":false}],"preferred":false,"id":820823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228168,"text":"70228168 - 2022 - Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States","interactions":[],"lastModifiedDate":"2022-03-17T16:48:46.028922","indexId":"70228168","displayToPublicDate":"2022-02-07T13:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States","docAbstract":"In 2019, 254 samples were collected from five aquifer systems to evaluate per- and polyfluoroalkyl substance (PFAS) occurrence in groundwater used as a source of drinking water in the eastern United States. The samples were analyzed for 24 PFAS, major ions, nutrients, trace elements, dissolved organic carbon (DOC), volatile organic compounds (VOCs), pharmaceuticals, and tritium. Fourteen of the 24 PFAS were detected in groundwater, with 60% and 20% of public-supply and domestic wells, respectively, containing at least one PFAS detection. Concentrations of tritium, chloride, sulfate, DOC, and manganese+iron; percent urban land use within 500 m of the wells; and VOC and pharmaceutical detection frequencies were significantly higher in samples containing PFAS detections than in samples with no detections. Boosted Regression Tree models that consider 57 chemical and land-use variables show that tritium concentration, distance to the nearest fire-training area, percentage of urban land use, and DOC and VOC concentrations are the top five predictors of PFAS detections, consistent with hydrologic position, geochemistry, and land use being important controls on PFAS occurrence in groundwater. Model results indicate it may be possible to predict PFAS detections in groundwater using existing data sources.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.1c04795","usgsCitation":"McMahon, P.B., Tokranov, A.K., Bexfield, L.M., Lindsey, B.D., Johnson, T., Lombard, M.A., and Watson, E., 2022, Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States: Environmental Science & Technology, v. 56, no. 4, p. 2279-2288, https://doi.org/10.1021/acs.est.1c04795.","productDescription":"10 p.","startPage":"2279","endPage":"2288","ipdsId":"IP-129437","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science 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blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":833293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":833295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watson, Elise 0000-0003-2213-4707","orcid":"https://orcid.org/0000-0003-2213-4707","contributorId":206381,"corporation":false,"usgs":true,"family":"Watson","given":"Elise","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255188,"text":"70255188 - 2022 - Estimating wolf abundance from cameras","interactions":[],"lastModifiedDate":"2024-06-14T16:17:05.49915","indexId":"70255188","displayToPublicDate":"2022-02-06T11:11:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating wolf abundance from cameras","docAbstract":"

Monitoring the abundance of rare carnivores is a daunting task for wildlife biologists. Many carnivore populations persist at relatively low densities, public interest is high, and the need for population estimates is great. Recent advances in trail camera technology provide an unprecedented opportunity for biologists to monitor rare species economically. Few studies, however, have conducted rigorous analyses of our ability to estimate abundance of low-density carnivores with cameras. We used motion-triggered trail cameras and a space-to-event model to estimate gray wolf (Canis lupus) abundance across three study areas in Idaho, USA, 2016–2018. We compared abundance estimates between cameras and noninvasive genetic sampling that had been extensively tested in our study areas. Estimates of mean wolf abundance from camera and genetic surveys were within 22% of one another and 95% CIs overlapped in 2 of the 3 years. A single camera with many detections appeared to bias camera estimates high in 2018. A subsequent bootstrapping procedure produced a population estimate from cameras equal to that derived from genetic sampling, however. Camera surveys were less than half the cost of genetic surveys once initial camera purchases were made. Our results suggest that cameras can be a viable method for estimating wolf abundance across broad landscapes (>10,000 km2).

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3933","usgsCitation":"Ausband, D.E., Lukacs, P.M., Hurley, M., Roberts, S., Strickfaden, K.M., and Moeller, A.K., 2022, Estimating wolf abundance from cameras: Ecosphere, v. 13, no. 3, e3933, 8 p., https://doi.org/10.1002/ecs2.3933.","productDescription":"e3933, 8 p.","ipdsId":"IP-127324","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3933","text":"Publisher Index Page"},{"id":430214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.27446366280928,\n 44.31760887473328\n ],\n [\n -116.04474769799485,\n 43.63573860529246\n ],\n [\n -114.91434636204788,\n 44.35330616742618\n ],\n [\n -113.82239386322908,\n 44.47620619443575\n ],\n [\n -113.55750390521284,\n 45.06145713298196\n ],\n [\n -113.94277353962592,\n 45.707133973439966\n ],\n [\n -114.39076245396207,\n 45.48040816198744\n ],\n [\n -114.60043079769942,\n 45.629047190084634\n ],\n [\n -114.33198947843407,\n 46.693362013709105\n ],\n [\n -114.57075471714238,\n 46.69432428995722\n ],\n [\n -115.72924921268883,\n 47.494572748462474\n ],\n [\n -115.72433918041612,\n 47.63759616318168\n ],\n [\n -116.0416806012203,\n 47.99276499625725\n ],\n [\n -116.03354364171281,\n 48.99569218537363\n ],\n [\n -117.02625270166422,\n 48.98501346607878\n ],\n [\n -117.04252662067968,\n 46.428652837122826\n ],\n [\n -116.87164826052927,\n 45.87625130087565\n ],\n [\n -116.46480028513943,\n 45.61504858360104\n ],\n [\n -117.27446366280928,\n 44.31760887473328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lukacs, Paul M.","contributorId":207269,"corporation":false,"usgs":false,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":903694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurley, Mark A.","contributorId":287804,"corporation":false,"usgs":false,"family":"Hurley","given":"Mark A.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":903695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Shane","contributorId":279606,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":903696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":903697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moeller, Anna K.","contributorId":338940,"corporation":false,"usgs":false,"family":"Moeller","given":"Anna","email":"","middleInitial":"K.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903698,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228162,"text":"70228162 - 2022 - The role of hydraulic and geomorphic complexity in predicting invasive carp spawning potential: St. Croix River, Minnesota and Wisconsin, United States","interactions":[],"lastModifiedDate":"2022-02-07T18:02:04.365799","indexId":"70228162","displayToPublicDate":"2022-02-03T11:55:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The role of hydraulic and geomorphic complexity in predicting invasive carp spawning potential: St. Croix River, Minnesota and Wisconsin, United States","docAbstract":"

Since they were first introduced to the United States more than 50 years ago, invasive carp have rapidly colonized rivers of the Mississippi River Basin, with detrimental effects on native aquatic species. Their continued range expansion, and potential for subsequent invasion of the Great Lakes, has led to increased concern for the susceptibility of as-yet uncompromised lotic and lentic systems in the central United States. Because invasive carp eggs and larvae must drift in the river current for the first several days following spawning, numerical drift modeling has emerged as a useful technique for determining whether certain river systems and reaches have the potential to support suspension-to-hatching survival of invasive carp eggs, a critical first step in recruitment. Here we use one such numerical modeling approach, the Fluvial Egg Drift Simulator (FluEgg), to estimate bighead carp (Hypophthalmichthys nobilis) egg hatching success and larval retention in a 47.8-kilometer (km) reach of the multi-thread St. Croix River, Minnesota and Wisconsin, United States. We explore three approaches for obtaining the hydraulic data required by FluEgg, parameterizing the model with either (a) field hydraulic data collected within the main channel during a high-flow event, or hydraulic data output from a one-dimensional hydrodynamic model with both (b) steady, and (c) unsteady flows. We find that the three approaches, along with the range of water temperatures and discharge used in simulations, produce vastly different predictions of streamwise transport and in-river egg hatching probability (0% for field data, 0 to 96% for steady-state hydraulic modeling, and 1.8 to 65% for unsteady modeling). However, all FluEgg simulations, regardless of the source of hydraulic data, predicted that no larvae reach the gas bladder inflation stage within the study reach where nursery habitat is abundant. Overall, these results indicate that the lower St. Croix River is suitable for invasive carp spawning and egg suspension until hatching for a range of discharge and water temperatures. These results highlight the role of complex channel hydraulics and morphology, particularly multi-thread reaches, and their inclusion in ecohydraulic-suitability modeling to determine susceptibility of river systems for invasive carp reproduction. Our work also emphasizes the scientific value of multi-dimensional hydrodynamic models that can capture the spatial heterogeneity of flow fields in geomorphically complex rivers. This work may help to guide management efforts based on the targeted monitoring and control and improve invasive carp egg and larvae sampling efficiency.

","language":"English","publisher":"Public Library of Science (PLOS)","doi":"10.1371/journal.pone.0263052","usgsCitation":"Kasprak, A., Jackson, P.R., Lindroth, E.M., Lund, J.W., and Ziegeweid, J.R., 2022, The role of hydraulic and geomorphic complexity in predicting invasive carp spawning potential: St. Croix River, Minnesota and Wisconsin, United States: PLoS ONE, v. 17, no. 2, e0263052, 25 p., https://doi.org/10.1371/journal.pone.0263052.","productDescription":"e0263052, 25 p.","ipdsId":"IP-128244","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448898,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0263052","text":"Publisher Index Page"},{"id":435980,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93K0UUI","text":"USGS data release","linkHelpText":"Bathymetric, water velocity, and water temperature data on the St. Croix River between St. Croix Falls, Wisconsin, and Stillwater, Minnesota, June 19-22, 2018"},{"id":395554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St Croix River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.84408569335938,\n 44.98714175309689\n ],\n [\n -92.59552001953125,\n 44.98714175309689\n ],\n [\n -92.59552001953125,\n 45.42062422307843\n ],\n [\n -92.84408569335938,\n 45.42062422307843\n ],\n [\n -92.84408569335938,\n 44.98714175309689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":833274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindroth, Evan M. 0000-0002-9746-4359 elindroth@usgs.gov","orcid":"https://orcid.org/0000-0002-9746-4359","contributorId":264885,"corporation":false,"usgs":true,"family":"Lindroth","given":"Evan","email":"elindroth@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":211157,"corporation":false,"usgs":true,"family":"Lund","given":"J.","email":"","middleInitial":"William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230954,"text":"70230954 - 2022 - Silicate volcanism on Europa’s seafloor and implications for habitability","interactions":[],"lastModifiedDate":"2022-04-29T12:10:55.639334","indexId":"70230954","displayToPublicDate":"2022-02-03T07:09:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Silicate volcanism on Europa’s seafloor and implications for habitability","docAbstract":"

Habitable ocean environments on Europa require an influx of reactants to maintain chemical disequilibrium. One possible source of reactants is seafloor volcanism. Modeling has shown that dissipation of tidal energy in Europa's asthenosphere can generate melt, but melt formation cannot be equated with volcanism. Melt must also be transported through Europa's cold lithosphere to erupt at the seafloor. Here, we use two models of dike propagation to show that dikes can only traverse the lithosphere if either the fracture toughness of the lithosphere or the flux into the dike is large (>500 MPa m1/2 or ∼1 m2 s−1, respectively). We conclude that cyclic volcanic episodes might provide reactants to Europa's ocean if magma accumulates at the base of the lithosphere for several thousand years. However, if dikes form too frequently, or are too numerous, the magma flux into each will be insufficient, and volcanism cannot support a habitable ocean environment.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL096939","usgsCitation":"Bland, M.T., and Elder, C., 2022, Silicate volcanism on Europa’s seafloor and implications for habitability: Geophysical Research Letters, v. 49, no. 5, e96939, 9 p., https://doi.org/10.1029/2021GL096939.","productDescription":"e96939, 9 p.","ipdsId":"IP-133512","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":448905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl096939","text":"Publisher Index Page"},{"id":399884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Catherine","contributorId":237916,"corporation":false,"usgs":false,"family":"Elder","given":"Catherine","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":841704,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227958,"text":"70227958 - 2022 - Poor relationships between NEON Airborne Observation Platform data and field-based vegetation traits at a mesic grassland","interactions":[],"lastModifiedDate":"2022-02-02T15:10:24.469421","indexId":"70227958","displayToPublicDate":"2022-02-02T09:04:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Poor relationships between NEON Airborne Observation Platform data and field-based vegetation traits at a mesic grassland","docAbstract":"Understanding spatial and temporal variation in plant traits is needed to accurately predict how communities and ecosystems will respond to global change. The National Observatory Ecological Network (NEON) Airborne Observation Platform (AOP) provides hyperspectral images and associated data products at numerous field sites at 1 m spatial resolution, potentially allowing high-resolution trait mapping. We tested the accuracy of NEON’s readily available AOP derived data products – Leaf Area Index, Total biomass, Ecosystem structure (Canopy height model; CHM), and Canopy Nitrogen by comparing them to spatially extensive field measurements from a mesic tallgrass prairie. Correlations with AOP data products exhibited generally weak or no relationships with corresponding field measurements. The strongest relationships were between AOP LAI and ground-measured LAI (r = 0.32) and AOP Total biomass and ground-measured biomass (r = 0.23). We also examined how well the full reflectance spectra (380-2500 nm), as opposed to derived products, could predict vegetation traits using partial least-squares regression models. Only one of the eight traits examined, Nitrogen, had a validation R2 of more than 0.25. For all vegetation traits, validation R2 ranged from 0.08-0.29 and the root mean square error of prediction ranged from 14-64%. Our results suggest that currently available AOP derived data products should not be used without extensive ground-based validation. Relationships using the full reflectance spectra may be more promising, although careful consideration of field and AOP data mismatches in space and/or time, biases in field-based measurements or AOP algorithms, and model uncertainty are needed. Finally, grassland sites may be especially challenging for airborne spectroscopy because of their high species diversity within a small area, mixed functional types of plant communities, and heterogenous mosaics of disturbance and resource availability. Remote sensing observations are one of the most promising approaches to understanding ecological patterns across space and time, yet the opportunity to engage a diverse community of NEON data users will depend on establishing rigorous links with in-situ field measurements across a diversity of sites.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.3590","usgsCitation":"Pau, S., Nippert, J., Slapikas, R., Griffith, D.M., Bachle, S., Helliker, B., O’Connor, R., Riley, W.J., Still, C.J., and Zaricor, M., 2022, Poor relationships between NEON Airborne Observation Platform data and field-based vegetation traits at a mesic grassland: Ecology, v. 103, no. 2, e03590, https://doi.org/10.1002/ecy.3590.","productDescription":"e03590","ipdsId":"IP-123791","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":395269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"editors":[{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":832742,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Pau, Stephanie","contributorId":190208,"corporation":false,"usgs":false,"family":"Pau","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":832703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nippert, Jesse","contributorId":273240,"corporation":false,"usgs":false,"family":"Nippert","given":"Jesse","affiliations":[],"preferred":false,"id":832704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slapikas, Ryan","contributorId":273467,"corporation":false,"usgs":false,"family":"Slapikas","given":"Ryan","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":832741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Daniel Mark 0000-0001-7463-4004","orcid":"https://orcid.org/0000-0001-7463-4004","contributorId":271033,"corporation":false,"usgs":true,"family":"Griffith","given":"Daniel","email":"","middleInitial":"Mark","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":832705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachle, Seton","contributorId":273242,"corporation":false,"usgs":false,"family":"Bachle","given":"Seton","email":"","affiliations":[],"preferred":false,"id":832706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helliker, Brent","contributorId":273243,"corporation":false,"usgs":false,"family":"Helliker","given":"Brent","email":"","affiliations":[],"preferred":false,"id":832707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Connor, Rory","contributorId":273244,"corporation":false,"usgs":false,"family":"O’Connor","given":"Rory","affiliations":[],"preferred":false,"id":832708,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riley, William J. 0000-0002-4615-2304","orcid":"https://orcid.org/0000-0002-4615-2304","contributorId":194645,"corporation":false,"usgs":false,"family":"Riley","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832709,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Still, Christopher J.","contributorId":167581,"corporation":false,"usgs":false,"family":"Still","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":24761,"text":"University of California, Santa Barbara; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":832710,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zaricor, Marissa","contributorId":273245,"corporation":false,"usgs":false,"family":"Zaricor","given":"Marissa","email":"","affiliations":[],"preferred":false,"id":832711,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70241786,"text":"70241786 - 2022 - The role of monitoring and research in the Greater Yellowstone Ecosystem in framing our understanding of the effects of disease on amphibians","interactions":[],"lastModifiedDate":"2023-03-27T12:13:51.160574","indexId":"70241786","displayToPublicDate":"2022-02-02T07:12:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"The role of monitoring and research in the Greater Yellowstone Ecosystem in framing our understanding of the effects of disease on amphibians","docAbstract":"

Emerging infectious disease threatens amphibian biodiversity worldwide, including in landscapes that are protected from many anthropogenic stressors. We summarized data from studies in the Greater Yellowstone Ecosystem (GYE), one of the largest and most complete temperate-zone ecosystems on Earth, to assess the current state of knowledge about ranaviruses and the novel amphibian chytrid fungus (Bd) in this landscape, and to provide insight into future threats and conservation strategies. Our comprehension of these amphibian diseases in the GYE is based on >20 years of monitoring, surveys, population studies, and opportunistic observations of mortality events. Research indicates that local species are affected differently, depending on temperature, community structure, and location in the GYE. Bd has not been linked to die-offs in the GYE but evidence for ongoing reductions in survival contributes to foundational data about the effects of this pathogen in North America. Localized mortality events attributed to, or consistent with, disease from ranaviruses, are widespread in the GYE, but there is less information on how ranaviruses affect amphibian vital rates. The significance of disease in the long-term persistence of amphibians in the GYE is linked to anticipated changes in climate, especially drought. Additionally, expected increases in visitor use, and its associated impacts, have the potential to exacerbate the effects of disease. Long-term information from this large, intact landscape helps to frame our understanding of the effects of disease on amphibians and provides data that can contribute to management decisions, mitigation strategies, and forecasting efforts.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108577","usgsCitation":"Muths, E.L., and Hossack, B.R., 2022, The role of monitoring and research in the Greater Yellowstone Ecosystem in framing our understanding of the effects of disease on amphibians: Ecological Indicators, v. 136, 108577, 10 p., https://doi.org/10.1016/j.ecolind.2022.108577.","productDescription":"108577, 10 p.","ipdsId":"IP-132880","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108577","text":"Publisher Index Page"},{"id":414770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.28035985446333,\n 45.220187202284905\n ],\n [\n -111.28035985446333,\n 42.77976798388039\n ],\n [\n -108.9412781432977,\n 42.77976798388039\n ],\n [\n -108.9412781432977,\n 45.220187202284905\n ],\n [\n -111.28035985446333,\n 45.220187202284905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"136","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":867563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236483,"text":"70236483 - 2022 - General guidance for custom-built structural equation models","interactions":[],"lastModifiedDate":"2022-09-09T10:55:46.482391","indexId":"70236483","displayToPublicDate":"2022-02-01T09:23:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5943,"text":"One Ecosystem","active":true,"publicationSubtype":{"id":10}},"title":"General guidance for custom-built structural equation models","docAbstract":"Structural Equation Modeling (SEM) represents a quantitative methodology for specifying and evaluating causal network hypotheses. The application of SEM typically involves the use of specialized software packages that implement estimation procedures and automate model checking and the output of summary results. There are times when the specification details an investigator wishes to implement to represent their data relationships are not supported by available SEM packages. In such cases, it may be desirable to develop and evaluate SE models “by hand”, using specialized regression tools. In this paper, I demonstrate a general approach to custom-built applications of SEM. The approach illustrated can be used for a wide array of specialized applications of non-linear, multi-level, and other custom specifications in SE models.","language":"English","publisher":"Pensoft Publishers","doi":"10.3897/oneeco.7.e72780","usgsCitation":"Grace, J., 2022, General guidance for custom-built structural equation models: One Ecosystem, v. 7, e72780, 13 p., https://doi.org/10.3897/oneeco.7.e72780.","productDescription":"e72780, 13 p.","ipdsId":"IP-132365","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/oneeco.7.e72780","text":"Publisher Index Page"},{"id":406379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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-68.22269439697266,\n 44.386200799061896\n ],\n [\n -68.22269439697266,\n 44.395278140353646\n ],\n [\n -68.2357406616211,\n 44.40803310518651\n ],\n [\n -68.24810028076172,\n 44.41318336041361\n ],\n [\n -68.26663970947266,\n 44.41710705999032\n ],\n [\n -68.28380584716795,\n 44.41514524311076\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2022-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220095,"corporation":false,"usgs":true,"family":"Grace","given":"James B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":851191,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230381,"text":"70230381 - 2022 - Pathways of productivity and influences on top consumers in forested streams","interactions":[],"lastModifiedDate":"2022-04-11T12:16:36.843874","indexId":"70230381","displayToPublicDate":"2022-02-01T07:09:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Pathways of productivity and influences on top consumers in forested streams","docAbstract":"

Forested stream ecosystems involve complex physical and biotic pathways that can influence fish in numerous ways. Consequently, the responses of fish communities to disturbance can be difficult to understand. In this study, we employed a food web model that links biotic (e.g., physiology, predator–prey interactions) and abiotic (e.g., temperature, sunlight) attributes to address fish responses to changes in stream-riparian ecosystems. We modeled responses to food web dynamics in four streams, using scenarios that included responses to riparian disturbance, climate change, and shifts in top consumers. The two consumers we focused on were coastal cutthroat trout (Oncorhynchus clarkii clarkii) and sculpin (Cottus spp., collectively treated as a functional group). We found the responses to environmental changes varied by fish species and among streams, and that responses were not independent due to exploitative interspecific competition. Simulations based on long-term data indicated that coastal cutthroat trout were responsive to changes in allochthonous resources including terrestrial detritus and invertebrates, whereas sculpin were more responsive to changes to autochthonous resources that included, periphyton and aquatic invertebrates. These results may be, in part, a consequence of species-specific foraging behavior. Trout have a higher propensity to drift feed and therefore receive a substantial subsidy from terrestrial invertebrates, whereas sculpin feed mostly on aquatic insects on the streambed. Simulations of changes in summer temperature and stream discharge suggest decreased biomass of both fish species because of physiological constraints on invertebrate prey which reduce fish foraging opportunities. Exploitative competition also may be important in fish responses: when one fish taxon was removed, the other showed increased biomass. Although the pattern of simulation results was consistent across the four streams, the magnitude of change varied among streams. Streams with food webs fueled by multiple energy sources may be more resilient to changes to riparian forests and climate. Through application of a systems model, we gained insights into pathways of productivity for fish in forested stream ecosystems that provide understanding of processes that influence fish and streams, as well as implications for management of both.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2022.120046","usgsCitation":"Benjamin, J.R., Dunham, J.B., Johnson, S.L., Ashkenas, L., Penaluna, B.E., Bilby, R., Bateman, D.S., Leer, D.W., and Bellmore, J.R., 2022, Pathways of productivity and influences on top consumers in forested streams: Forest Ecology and Management, v. 508, 120046, 11 p., https://doi.org/10.1016/j.foreco.2022.120046.","productDescription":"120046, 11 p.","ipdsId":"IP-134367","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":448958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2022.120046","text":"Publisher Index Page"},{"id":398460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"508","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":840126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":840127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Sherri L 0000-0002-4223-3465","orcid":"https://orcid.org/0000-0002-4223-3465","contributorId":192210,"corporation":false,"usgs":false,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":840128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ashkenas, Linda","contributorId":289996,"corporation":false,"usgs":false,"family":"Ashkenas","given":"Linda","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":840129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Penaluna, Brooke E","contributorId":192212,"corporation":false,"usgs":false,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":840130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bilby, Robert E","contributorId":146867,"corporation":false,"usgs":false,"family":"Bilby","given":"Robert E","affiliations":[{"id":16757,"text":"Oregon State Univ.","active":true,"usgs":false}],"preferred":false,"id":840131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bateman, Douglas S. 0000-0002-5609-2085 doug_bateman@usgs.gov","orcid":"https://orcid.org/0000-0002-5609-2085","contributorId":207396,"corporation":false,"usgs":false,"family":"Bateman","given":"Douglas","email":"doug_bateman@usgs.gov","middleInitial":"S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":840132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leer, David W.","contributorId":207397,"corporation":false,"usgs":false,"family":"Leer","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":840133,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bellmore, James R 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":195609,"corporation":false,"usgs":false,"family":"Bellmore","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":840134,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262481,"text":"70262481 - 2022 - Modelling physiological costs to assess impacts of climate change on amphibians in Yellowstone National Park, U.S.A","interactions":[],"lastModifiedDate":"2025-01-17T15:42:51.223433","indexId":"70262481","displayToPublicDate":"2022-02-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Modelling physiological costs to assess impacts of climate change on amphibians in Yellowstone National Park, U.S.A","docAbstract":"

Amphibians are vital elements of ecosystems, serving as predator and prey. Their biphasic nature makes them dependent on aquatic and terrestrial habitats; as wet-skinned ectotherms, they are vulnerable to a range of environmental threats, including climate change. Yellowstone National Park (YNP) is becoming warmer and drier, and some wetlands important to amphibians have diminished. Continued climate change is predicted to reduce snowpack, soil moisture, and forest cover. We used data from models of future climate and vegetation cover to mechanistically model how climate change might affect the movements of Western Toads (Anaxyrus boreas) across the landscape of three test areas in YNP for the years 2050 and 2090, compared to 2000 as a baseline. Least-cost path analysis produced mixed results: for 2050 and 2090, physiological costs of movement increased in one test area and decreased in another; they were mixed in the third. These changes generally reflect the preference by toads for more open forests. Estimating costs for other species of YNP amphibians produced more negative results. For Columbia Spotted Frogs (Rana luteiventris) and Boreal Chorus Frogs (Pseudacris maculata) (both more aquatic and less adapted to terrestrial habitats), movement costs increased by about 2–15X. Reduced frequency or duration of rain events might limit the nocturnal movements of Western Tiger Salamanders (Ambystoma mavortium). Climate change may not have negative impacts on all amphibians throughout YNP, but increased movement costs for terrestrial habitats will accentuate effects of drying wetlands in at least parts of YNP. Land management actions that preserve habitat structure of both forest and low shrub cover may help mitigate continued drying conditions of climate change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108575","usgsCitation":"Bartelt, P., Thornton, P., and Klaver, R.W., 2022, Modelling physiological costs to assess impacts of climate change on amphibians in Yellowstone National Park, U.S.A: Ecological Indicators, v. 135, 108575, 12 p., https://doi.org/10.1016/j.ecolind.2022.108575.","productDescription":"108575, 12 p.","ipdsId":"IP-134835","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108575","text":"Publisher Index Page"},{"id":480736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.13112916264933,\n 45.42187928380869\n ],\n [\n -111.13112916264933,\n 43.87067545981952\n ],\n [\n -109.15957965370097,\n 43.87067545981952\n ],\n [\n -109.15957965370097,\n 45.42187928380869\n ],\n [\n -111.13112916264933,\n 45.42187928380869\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"135","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":349463,"corporation":false,"usgs":false,"family":"Bartelt","given":"Paul E.","affiliations":[{"id":56262,"text":"Waldorf University","active":true,"usgs":false}],"preferred":false,"id":924323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thornton, Peter E.","contributorId":349464,"corporation":false,"usgs":false,"family":"Thornton","given":"Peter E.","affiliations":[{"id":83486,"text":"Oak Ridge National Laborabory","active":true,"usgs":false}],"preferred":false,"id":924324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":924322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228184,"text":"70228184 - 2022 - The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs","interactions":[],"lastModifiedDate":"2022-04-26T12:04:46.303245","indexId":"70228184","displayToPublicDate":"2022-01-31T10:55:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs","docAbstract":"

Climate change is transforming ecosystems and affecting ecosystem goods and services. Along the Gulf of Mexico and Atlantic coasts of the southeastern United States, the frequency and intensity of extreme freeze events greatly influences whether coastal wetlands are dominated by freeze-sensitive woody plants (mangrove forests) or freeze-tolerant grass-like plants (salt marshes). In response to warming winters, mangroves have been expanding and displacing salt marshes at varying degrees of severity in parts of north Florida, Louisiana, and Texas. As winter warming accelerates, mangrove range expansion is expected to increasingly modify wetland ecosystem structure and function. Because there are differences in the ecological and societal benefits that salt marshes and mangroves provide, coastal environmental managers are challenged to anticipate effects of mangrove expansion on critical wetland ecosystem services, including those related to carbon sequestration, wildlife habitat, storm protection, erosion reduction, water purification, fisheries support, and recreation. Mangrove range expansion may also affect wetland stability in the face of extreme climatic events and rising sea levels. Here, we review current understanding of the effects of mangrove range expansion and displacement of salt marshes on wetland ecosystem services in the southeastern United States. We also identify critical knowledge gaps and emerging research needs regarding the ecological and societal implications of salt marsh displacement by expanding mangrove forests. One consistent theme throughout our review is that there are ecological trade-offs for consideration by coastal managers. Mangrove expansion and marsh displacement can produce beneficial changes in some ecosystem services, while simultaneously producing detrimental changes in other services. Thus, there can be local-scale differences in perceptions of the impacts of mangrove expansion into salt marshes. For very specific local reasons, some individuals may see mangrove expansion as a positive change to be embraced, while others may see mangrove expansion as a negative change to be constrained.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16111","usgsCitation":"Osland, M., Hughes, A.R., Armitage, A.R., Scyphers, S.B., Cebrian, J., Swinea, S.H., Shepard, C., Allen, M.S., Feher, L., Nelson, J., O’Brien, C.L., Sanspree, C.R., Smee, D.L., Snyder, C.M., Stetter, A.P., Stevens, P.W., Swanson, K., Williams, L.H., Brush, J.M., Marchionno, J., and Bardou, R., 2022, The impacts of mangrove range expansion on wetland ecosystem services in the southeastern United States: Current understanding, knowledge gaps, and emerging research needs: Global Change Biology, v. 28, no. 10, p. 3163-3187, https://doi.org/10.1111/gcb.16111.","productDescription":"25 p.","startPage":"3163","endPage":"3187","ipdsId":"IP-132601","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467202,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/43126","text":"External Repository"},{"id":395545,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.12890625,\n 17.14079039331665\n ],\n [\n -79.1015625,\n 17.14079039331665\n ],\n [\n -79.1015625,\n 33.284619968887675\n ],\n [\n -102.12890625,\n 33.284619968887675\n ],\n [\n -102.12890625,\n 17.14079039331665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":833325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armitage, Anna R.","contributorId":218913,"corporation":false,"usgs":false,"family":"Armitage","given":"Anna","email":"","middleInitial":"R.","affiliations":[{"id":39935,"text":"Texas A&M Galveston, Galveston, TX USA","active":true,"usgs":false}],"preferred":false,"id":833326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cebrian, Just","contributorId":218914,"corporation":false,"usgs":false,"family":"Cebrian","given":"Just","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":833328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":833330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Michael S.","contributorId":274813,"corporation":false,"usgs":false,"family":"Allen","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":56658,"text":"University of Florida, Cedar Key, FL USA","active":true,"usgs":false}],"preferred":false,"id":833331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":221894,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, James A.","contributorId":274814,"corporation":false,"usgs":false,"family":"Nelson","given":"James A.","affiliations":[{"id":56659,"text":"University of Louisiana at Lafayette, Lafayette, LA USA","active":true,"usgs":false}],"preferred":false,"id":833333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O’Brien, Cherie L.","contributorId":274815,"corporation":false,"usgs":false,"family":"O’Brien","given":"Cherie","email":"","middleInitial":"L.","affiliations":[{"id":56660,"text":"Texas Parks and Wildlife Department, Dickinson, TX USA, 9U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833334,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sanspree, Colt R.","contributorId":274816,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","email":"","middleInitial":"R.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833335,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smee, Delbert L.","contributorId":274817,"corporation":false,"usgs":false,"family":"Smee","given":"Delbert","email":"","middleInitial":"L.","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":833336,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Snyder, Caitlin M.","contributorId":218921,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39940,"text":"Apalachicola National Estuarine Research Reserve, Eastpoint, FL USA","active":true,"usgs":false}],"preferred":false,"id":833337,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stetter, Andrew P.","contributorId":274818,"corporation":false,"usgs":false,"family":"Stetter","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":833338,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stevens, Philip W.","contributorId":274819,"corporation":false,"usgs":false,"family":"Stevens","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":56662,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St. Petersburg, FL USA","active":true,"usgs":false}],"preferred":false,"id":833339,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Swanson, Kathleen M.","contributorId":195577,"corporation":false,"usgs":false,"family":"Swanson","given":"Kathleen M.","affiliations":[],"preferred":false,"id":833340,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Lauren H.","contributorId":274820,"corporation":false,"usgs":false,"family":"Williams","given":"Lauren","email":"","middleInitial":"H.","affiliations":[{"id":56663,"text":"The Nature Conservancy, Corpus Christi, TX USA","active":true,"usgs":false}],"preferred":false,"id":833341,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Brush, Janell M.","contributorId":264219,"corporation":false,"usgs":false,"family":"Brush","given":"Janell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":833342,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Marchionno, Joseph","contributorId":274821,"corporation":false,"usgs":false,"family":"Marchionno","given":"Joseph","email":"","affiliations":[{"id":56664,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":833343,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833344,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70228739,"text":"70228739 - 2022 - Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors","interactions":[],"lastModifiedDate":"2022-07-07T16:39:13.474066","indexId":"70228739","displayToPublicDate":"2022-01-28T08:35:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors","docAbstract":"

Conservation  and management of Pacific Lamprey Entosphenus tridentatus and other imperiled lamprey species could include the use of chemosensory cues to attract or repel migrating adults. For restoration programs, passage of adult lamprey at dams might be improved by using cues to help guide lamprey through fishway entrances. In contrast, odors might repel unwanted invasive Sea Lamprey Petromyzon marinus in the Laurentian Great Lakes from spawning habitats or improve trapping efficiency. We conducted bioassays with Pacific Lamprey in a two-choice maze to evaluate the behavioral response of pre-ovulatory adult females to introduced chemical cues and changes in flow. During overnight tests, for each female we measured the number of entries into each arm of the maze and the amount of time spent in each arm after application of natural odors from pre-spawning conspecifics (males and females) in one of the arms. Using the same methods, we also tested whether adult females were attracted to natural odor from spermiating males, to a synthesized (artificially produced) component of a Sea Lamprey sex pheromone (3-keto petromyzonol sulfate, 3kPZS), or to an attraction flow (12 L/min as reference). In all tests, the lamprey showed consistent nocturnal activity, typically moving from sunset until sunrise and remaining inactive during daylight hours. For natural odors, the number of entries and the amount of time females spent in the treatment arm were not significantly different between control and treatment periods. However, females spent significantly less time in the treatment arm with the synthesized 3kPZS than when no odor was delivered. Females showed strong, positive responses to the attraction flow and with our assay, we could identify significant behavioral responses when the differences between the control and experimental means were greater than 15-20%. The response of lampreys to sex pheromones may be species-specific, with Pacific Lamprey less likely to respond to conspecific odors than Sea Lamprey.

","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-014","usgsCitation":"Hayes, M., Moser, M.L., Burke, B.J., Jackson, A.D., and Johnson, N.S., 2022, Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors: Journal of Fish and Wildlife Management, v. 13, no. 1, p. 94-105, https://doi.org/10.3996/JFWM-21-014.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-122941","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449006,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-014","text":"Publisher Index Page"},{"id":435987,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MXOKUT","text":"USGS data release","linkHelpText":"Behavior of female adult Pacific lamprey (Entosphenus tridentatus) exposed to natural and synthesized odors"},{"id":396094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Mike 0000-0002-9060-0565","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":279633,"corporation":false,"usgs":true,"family":"Hayes","given":"Mike","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":835238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":835240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Aaron D.","contributorId":196655,"corporation":false,"usgs":false,"family":"Jackson","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":835241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":835242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227685,"text":"70227685 - 2022 - Testing the potential of streamflow data to predict spring migration of an ungulate herds","interactions":[],"lastModifiedDate":"2022-01-26T16:07:24.226926","indexId":"70227685","displayToPublicDate":"2022-01-26T09:51:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Testing the potential of streamflow data to predict spring migration of an ungulate herds","docAbstract":"

In mountainous and high latitude regions, migratory animals exploit green waves of emerging vegetation coinciding with rising daily mean temperatures initiating snowmelt across the landscape. Snowmelt also causes rivers and streams draining these regions to swell, a process referred to as to as the ‘spring pulse.’ Networks of streamgages measuring streamflow in these regions often have long-term and continuous periods of record available in real-time and at the daily time step, and thus produce data with potential to predict temporal migration patterns for species exploiting green waves. We tested the potential of models informed by streamflow data to predict timing of spring migration of mule deer (Odocoileus hemionus) herds in a headwater basin of the Colorado River. Models using streamflow data were compared with those informed by traditional temperature-derived measures of the onset of spring. Non-parametric linear-regression techniques were used to test for temporal stationarity in each variable, and logistic-regression models were used to produce probabilities of migration initiation. Our analysis indicates that models using daily streamflow data can perform as well as those using temperature-derived data to predict past-migration patterns, and nearly as well in potential to forecast future migrations. The best performing model was used to generate probabilities of onset of migration for mule deer herds over the 69-year period-of-record from a streamgage. That model indicated spring migration has been trending toward earlier initiations, with modeled median initiations shifting from a Julian day of 123 in the mid 20th century to Julian day 115 over the most recent two decades. The period of 1960 to 1979 had the latest modeled median initiations with Julian day of 128. The analyses demonstrate promise for merging existing hydrologic and biological data collection platforms in these regions to explore timing of past migration patterns and predict migration onsets in real-time.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0262078","usgsCitation":"Alexander, J.S., Murr, M.L., and Eddy-Miller, C.A., 2022, Testing the potential of streamflow data to predict spring migration of an ungulate herds: PLoS ONE, v. 17, no. 1, p. 1-18, https://doi.org/10.1371/journal.pone.0262078.","productDescription":"e0262078, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-125176","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":449034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0262078","text":"Publisher Index Page"},{"id":394871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","otherGeospatial":"Little Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.45703125,\n 40.45321727150385\n ],\n [\n -108.00933837890625,\n 40.70562793820589\n ],\n [\n -107.46826171874999,\n 40.84913799774759\n ],\n [\n -107.0892333984375,\n 40.86991083161536\n ],\n [\n -107.05078125,\n 41.00477542222947\n ],\n [\n -107.490234375,\n 41.539421883822854\n ],\n [\n -108.446044921875,\n 41.54764462357737\n ],\n [\n -108.8031005859375,\n 41.20552261955812\n ],\n [\n -108.45703125,\n 40.45321727150385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-21","publicationStatus":"PW","contributors":{"editors":[{"text":"Grignolio, Stefano","contributorId":272227,"corporation":false,"usgs":false,"family":"Grignolio","given":"Stefano","email":"","affiliations":[{"id":35987,"text":"Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy","active":true,"usgs":false}],"preferred":false,"id":831783,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":261330,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murr, Marissa L.","contributorId":252938,"corporation":false,"usgs":false,"family":"Murr","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":50476,"text":"Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming","active":true,"usgs":false}],"preferred":false,"id":831740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eddy-Miller, Cheryl A. 0000-0002-4082-750X","orcid":"https://orcid.org/0000-0002-4082-750X","contributorId":195780,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":false,"id":831741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262545,"text":"70262545 - 2022 - Redundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialist","interactions":[],"lastModifiedDate":"2025-01-22T18:32:02.773642","indexId":"70262545","displayToPublicDate":"2022-01-26T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Redundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialist","docAbstract":"

Wildlife managers tasked with understanding habitat and resource selection at the population level attempt to characterize patterns in nature that aid and inform conservation. Resource selection functions (RSFs), such as discrete choice analyses, are the standard convention to characterize the effects of habitat attributes on resource selection patterns. These tools are invaluable for wildlife management and conservation and have proven successful in numerous studies. However, the analysis of small datasets using RSF becomes problematic when attempting to account for complex sources of variation, and the inclusion of factors such as weather or intrinsic variation on target species' response may produce models with poor predictive ability. We compared the application of generalized linear mixed-effects modeling (GLMM) and redundancy analysis (RDA) on Appalachian spotted skunk (Spilogale putorius putorius) den selection data at four study sites within the George Washington, Jefferson, and Monongahela National Forests, and surrounding private lands in the Appalachian Mountains of western Virginia and northeastern West Virginia. We assessed the need for the inclusion of alternative sources of variation (i.e., weather conditions and individual intrinsic variation) in addition to standard habitat attributes to better identify sources of variation in den selection. The RDA elucidated complex and opposing relationships, whereby den type use was based on reproductive status or weather condition, which were not evident in the GLMM model that relied solely on habitat measures. Our results demonstrated the importance of examining resource selection data using multivariate techniques in addition to conventional discrete choice analyses to better understand intricate habitat–species relationships, especially for small datasets. Furthermore, from our analyses, we proposed that spotted skunks are neither a true generalist nor specialist species. We introduced and define the term “conditional specialist” to represent a species that is conditionally selective of a given resource in response to one or more current environmental or intrinsic conditions.

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Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":924521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228870,"text":"70228870 - 2022 - Geomorphic responses of fluvial systems to climate change: A habitat perspective","interactions":[],"lastModifiedDate":"2022-05-13T14:44:21.935005","indexId":"70228870","displayToPublicDate":"2022-01-25T08:47:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic responses of fluvial systems to climate change: A habitat perspective","docAbstract":"

Fluvial systems provide a variety of habitats that support thousands of species including many that are threatened or endangered. Moreover, these habitats, which range from aquatic and riparian to floodplain, are important for the variety of ecosystem services they provide. In addition to water temperature and streamflow change, geomorphic change is important and warrants consideration as one of the several potential threats to these habitats posed by climate change. The geomorphic response of fluvial systems to global warming in temperate environments, for example, caused by an increase in the frequency and magnitude of floods, is important because geomorphology is a primary determinant of habitat availability and quality. Possible geomorphic responses include increased erosion and (or) deposition in the river channel, riparian zone, and floodplain with associated habitat implications. Geomorphic changes caused by global warming can be beneficial (e.g., increased habitat complexity) or detrimental (e.g., mortality caused by scour or burial) to biota. The ability of a species to respond to and survive disturbances, including geomorphic changes, will depend on the nature of the disturbances and the sensitivity and adaptive capabilities of the species. Post-flood recovery often is rapid; however, for certain species (e.g., periphyton, macroinvertebrates), changes in community composition may persist. Increased flood frequency, sediment mobility, and associated geomorphic changes potentially will result in more frequent and persistent changes in habitat and community composition in the affected fluvial systems.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3938","usgsCitation":"Juracek, K.E., and Fitzpatrick, F., 2022, Geomorphic responses of fluvial systems to climate change: A habitat perspective: River Research and Applications, v. 38, no. 4, p. 757-775, https://doi.org/10.1002/rra.3938.","productDescription":"19 p.","startPage":"757","endPage":"775","ipdsId":"IP-127640","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":396338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":835745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209612,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835746,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70239092,"text":"70239092 - 2022 - Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory","interactions":[],"lastModifiedDate":"2022-12-27T13:21:07.439786","indexId":"70239092","displayToPublicDate":"2022-01-21T07:17:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory","docAbstract":"

Long-term (>20 y) suspended sediment (SS) and particulate organic carbon (POC) records are relatively rare and yet are necessary for understanding linkages between climate, erosion and carbon export. We estimated long-term (>23 y) SS and POC yields from four nested catchments that ranged from <1 to 54 km2 in area across the Reynolds Creek Experimental Watershed and Critical Zone Observatory (RCEW-CZO) in southwestern Idaho, USA. We found strong relationships between log10SS and log10POC (R2 = 0.38–0.86) that varied across catchments but remained robust across years, one dry and one of the wettest water years on record. Mean annual SS yields varied from 18 to 89 g SS m−2 y−1 and POC from 0.6 to 11.0 g C m−2 y−1 across the four catchments. Water yield explained much of the temporal variation (72%–85%) in SS and POC yields except in a small, snow-dominated headwater catchment where it explained 15%–51%. The largest five water years accounted for 69%–84% of the total SS and POC yields in catchments with 24 y records. All catchments had positive slopes (>0) for SS and POC concentration-discharge (C-Q) relationships, with large catchments exhibiting greater slopes (0.66–0.97) than smaller ones (0.14–0.16). In addition, most catchments were dominated (80%) by clockwise hysteretic curves. Lack of seasonal exhaustion in the SS-POC relationships, positive C-Q and clockwise relations indicated that these systems were transport-rather than supply limited, and that sediment and POC appeared to be sourced from channel/bank erosion and remobilization. POC yields represent 1%–10% of mean water year net ecosystem exchange depending on elevation; lower elevation catchments may shift from being carbon sinks to sources after accounting for fluvial POC export associated with changes in climate.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14484","usgsCitation":"Glossner, K.L., Lohse, K.A., Appling, A.P., Cram, Z.K., Murray, E., Godsey, S., Van Vactor, S., McCorkle, E.P., Seyfried, M., and Pierson, F., 2022, Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory: Hydrological Processes, v. 36, no. 2, e14484, 19 p., https://doi.org/10.1002/hyp.14484.","productDescription":"e14484, 19 p.","ipdsId":"IP-122641","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":411057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Reynolds Creek Experimental Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.90569285666032,\n 43.52658107596329\n ],\n [\n -116.90569285666032,\n 43.02287048036408\n ],\n [\n -116.28522881644315,\n 43.02287048036408\n ],\n [\n -116.28522881644315,\n 43.52658107596329\n ],\n [\n -116.90569285666032,\n 43.52658107596329\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Glossner, Kayla L 0000-0002-8437-5357","orcid":"https://orcid.org/0000-0002-8437-5357","contributorId":300345,"corporation":false,"usgs":false,"family":"Glossner","given":"Kayla","email":"","middleInitial":"L","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":860020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohse, Kathleen A. 0000-0003-1779-6773","orcid":"https://orcid.org/0000-0003-1779-6773","contributorId":196995,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":860021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":860022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cram, Zane K","contributorId":300346,"corporation":false,"usgs":false,"family":"Cram","given":"Zane","email":"","middleInitial":"K","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Erin","contributorId":300347,"corporation":false,"usgs":false,"family":"Murray","given":"Erin","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godsey, Sarah E. 0000-0001-6529-7886","orcid":"https://orcid.org/0000-0001-6529-7886","contributorId":296000,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah","middleInitial":"E.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":860025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Vactor, Steve 0000-0003-0243-3398","orcid":"https://orcid.org/0000-0003-0243-3398","contributorId":300348,"corporation":false,"usgs":false,"family":"Van Vactor","given":"Steve","email":"","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCorkle, Emma P","contributorId":300349,"corporation":false,"usgs":false,"family":"McCorkle","given":"Emma","email":"","middleInitial":"P","affiliations":[{"id":65090,"text":"Reynolds Creek Critical Zone Observatory","active":true,"usgs":false}],"preferred":false,"id":860027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seyfried, Mark 0000-0001-8081-0713","orcid":"https://orcid.org/0000-0001-8081-0713","contributorId":256763,"corporation":false,"usgs":false,"family":"Seyfried","given":"Mark","email":"","affiliations":[{"id":51849,"text":"United States Department of Agriculture - Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":860028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pierson, Frederick B","contributorId":169774,"corporation":false,"usgs":false,"family":"Pierson","given":"Frederick B","affiliations":[{"id":25588,"text":"USDA-ARS Northwest Watershed Research Center, Boise, ID 83712","active":true,"usgs":false}],"preferred":false,"id":860029,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70228747,"text":"70228747 - 2022 - Factors affecting spatiotemporal variation in survival of endangered winter-run Chinook Salmon outmigrating from the Sacramento River","interactions":[],"lastModifiedDate":"2022-04-12T13:30:37.906018","indexId":"70228747","displayToPublicDate":"2022-01-21T06:39:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting spatiotemporal variation in survival of endangered winter-run Chinook Salmon outmigrating from the Sacramento River","docAbstract":"

Among four extant and declining Chinook salmon (Oncorhynchus tshawytscha) runs in California’s Central Valley, none have declined as precipitously as Sacramento River winter-run Chinook Salmon. In addition to habitat loss, migratory winter-run employ a life history strategy to reside and feed in stopover habitats on their way from freshwaters to the ocean. This life history strategy is widely considered to be a key factor in the continued decline of winter-run. Using acoustic telemetry, we examined conditions that influenced reach-specific movement and survival of outmigrating juveniles during a prolonged, multi-year drought from 2013-2016, followed by one of the wettest years on record in 2017. We modeled how time-varying individual riverine covariates and reach-specific habitat features influenced smolt survival. Model selection favored a model with mean annual flow, intra-annual deviations from the mean flow at the reach scale, reach-specific channel characteristics, and travel time. Mean annual flow had the strongest positive effect on survival. A negative interaction between mean annual flow and intra-annual reach flow indicated that within-year deviations at the reach scale from annual mean flow had larger effects on survival in low flow years. These factors resulted in higher survival in years with pulse flows or high flows. Changes in movement behavior in response to small scale changes in velocity were negatively associated with survival. Covariates of revetment and wooded bank habitat were positively associated with survival but the effect of these fixed habitat features changed depending on whether they were situated in the upper or lower part of the river. Fish exhibited density dependent stopover behavior, with slowed downstream migration in the upper river in the wet years and extending to the lower river in the most critically dry year. This paper contributes two key findings for natural resource managers interested in flow management and targeted habitat restoration. The first is new insight to how the magnitude of pulse flows in dry and wet years affect survival of winter-run. The second is that density dependence influences where stopover habitat is used. Despite this, we identified an area of the river where fish consistently exhibited stopover behavior in all years.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10748","usgsCitation":"Hassrick, J.L., Ammann, A., Perry, R., John, S.N., and Daniels, M.E., 2022, Factors affecting spatiotemporal variation in survival of endangered winter-run Chinook Salmon outmigrating from the Sacramento River: North American Journal of Fisheries Management, v. 42, no. 2, p. 375-395, https://doi.org/10.1002/nafm.10748.","productDescription":"21 p.","startPage":"375","endPage":"395","ipdsId":"IP-129393","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449089,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10748","text":"Publisher Index Page"},{"id":396089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5140380859375,\n 38.285624966683756\n ],\n [\n -121.2615966796875,\n 38.285624966683756\n ],\n [\n -121.2615966796875,\n 40.751418432997454\n ],\n [\n -122.5140380859375,\n 40.751418432997454\n ],\n [\n -122.5140380859375,\n 38.285624966683756\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hassrick, Jason L.","contributorId":264556,"corporation":false,"usgs":false,"family":"Hassrick","given":"Jason","email":"","middleInitial":"L.","affiliations":[{"id":54497,"text":"ICF, 201 Mission Street, Suite 1500, San Francisco, CA 94105 USA","active":true,"usgs":false}],"preferred":false,"id":835278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ammann, Arnold J.","contributorId":275206,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":835279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":223235,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"John, Sara N.","contributorId":273050,"corporation":false,"usgs":false,"family":"John","given":"Sara","email":"","middleInitial":"N.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":835281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniels, Miles E.","contributorId":279656,"corporation":false,"usgs":false,"family":"Daniels","given":"Miles","email":"","middleInitial":"E.","affiliations":[{"id":57331,"text":"National Marine Fisheries Service, Southwest Fisheries Science Center, 110 McAllister Way, Santa Cruz, CA 95060, USA","active":true,"usgs":false}],"preferred":false,"id":835282,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227497,"text":"70227497 - 2022 - Major reorganization of the Snake River modulated by passage of the Yellowstone Hotspot","interactions":[],"lastModifiedDate":"2022-07-07T16:32:47.42119","indexId":"70227497","displayToPublicDate":"2022-01-20T08:34:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Major reorganization of the Snake River modulated by passage of the Yellowstone Hotspot","docAbstract":"

The details and mechanisms for Neogene river reorganization in the U.S. Pacific Northwest and northern Rocky Mountains have been debated for over a century with key implications for how tectonic and volcanic systems modulate topographic development. To evaluate paleo-drainage networks, we produced an expansive data set and provenance analysis of detrital zircon U-Pb ages from Miocene to Pleistocene fluvial strata along proposed proto-Snake and Columbia River pathways. Statistical comparisons of Miocene-Pliocene detrital zircon spectra do not support previously hypothesized drainage routes of the Snake River. We use detrital zircon unmixing models to test prior Snake River routes against a newly hypothesized route, in which the Snake River circumnavigated the northern Rocky Mountains and entered the Columbia Basin from the northeast prior to incision of Hells Canyon. Our proposed ancestral Snake River route best matches detrital zircon age spectra throughout the region. Furthermore, this northerly Snake River route satisfies and provides context for shifts in the sedimentology and fish faunal assemblages of the western Snake River Plain and Columbia Basin through Miocene−Pliocene time. We posit that eastward migration of the Yellowstone Hotspot and its effect on thermally induced buoyancy and topographic uplift, coupled with volcanic densification of the eastern Snake River Plain lithosphere, are the primary mechanisms for drainage reorganization and that the eastern and western Snake River Plain were isolated from one another until the early Pliocene. Following this basin integration, the substantial increase in drainage area to the western Snake River Plain likely overtopped a bedrock threshold that previously contained Lake Idaho, which led to incision of Hells Canyon and establishment of the modern Snake and Columbia River drainage network.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36174.1","usgsCitation":"Staisch, L.M., O'Connor, J., Cannon, C.M., Holm-Denoma, C., Link, P.K., Lasher, J., and Alexander, J.A., 2022, Major reorganization of the Snake River modulated by passage of the Yellowstone Hotspot: GSA Bulletin, v. 134, no. 7-8, p. 1834-1844, https://doi.org/10.1130/B36174.1.","productDescription":"11 p.","startPage":"1834","endPage":"1844","ipdsId":"IP-126190","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36174.1","text":"Publisher Index Page"},{"id":394579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, British Columbia, Idaho, Montana, Oregon, Washington, Wyoming","otherGeospatial":"Columbia River, Hells Canyon, Lake Idaho, Rocky Mountains, Snake River, Yellowstone Hotspot","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.68359374999999,\n 42.13082130188811\n ],\n [\n -108.80859375,\n 42.13082130188811\n ],\n [\n -108.80859375,\n 50.17689812200107\n ],\n [\n -125.68359374999999,\n 50.17689812200107\n ],\n [\n -125.68359374999999,\n 42.13082130188811\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2021-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":831181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":831182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":831183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":831184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Paul K.","contributorId":271204,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"K.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":831185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lasher, John","contributorId":271205,"corporation":false,"usgs":false,"family":"Lasher","given":"John","affiliations":[{"id":56315,"text":"Ellensburg, WA","active":true,"usgs":false}],"preferred":false,"id":831186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alexander, Jeremy A.","contributorId":271206,"corporation":false,"usgs":false,"family":"Alexander","given":"Jeremy","email":"","middleInitial":"A.","affiliations":[{"id":56316,"text":"Riggins, ID","active":true,"usgs":false}],"preferred":false,"id":831187,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70230142,"text":"70230142 - 2022 - Transforming Palmyra Atoll to native-tree dominance will increase net carbon storage and reduce dissolved organic carbon reef runoff","interactions":[],"lastModifiedDate":"2022-03-30T12:26:43.197877","indexId":"70230142","displayToPublicDate":"2022-01-20T07:24:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Transforming Palmyra Atoll to native-tree dominance will increase net carbon storage and reduce dissolved organic carbon reef runoff","docAbstract":"

Native forests on tropical islands have been displaced by non-native species, leading to calls for their transformation. Simultaneously, there is increasing recognition that tropical forests can help sequester carbon that would otherwise enter the atmosphere. However, it is unclear if native forests sequester more or less carbon than human-altered landscapes. At Palmyra Atoll, efforts are underway to transform the rainforest composition from coconut palm (Cocos nucifera) dominated to native mixed-species. To better understand how this landscape-level change will alter the atoll’s carbon dynamics, we used field sampling, remote sensing, and parameter estimates from the literature to model the total carbon accumulation potential of Palmyra’s forest before and after transformation. The model predicted that replacing the C. nucifera plantation with native species would reduce aboveground biomass from 692.6 to 433.3 Mg C. However, expansion of the native Pisonia grandis and Heliotropium foertherianum forest community projected an increase in soil carbon to at least 13,590.8 Mg C, thereby increasing the atoll’s overall terrestrial carbon storage potential by 11.6%. Nearshore sites adjacent to C. nucifera canopy had a higher dissolved organic carbon (DOC) concentration (110.0 μMC) than sites adjacent to native forest (81.5 μMC), suggesting that, in conjunction with an increase in terrestrial carbon storage, replacing C. nucifera with native forest will reduce the DOC exported from the forest into in nearshore marine habitats. Lower DOC levels have potential benefits for corals and coral dependent communities. For tropical islands like Palmyra, reverting from C. nucifera dominance to native tree dominance could buffer projected climate change impacts by increasing carbon storage and reducing coral disease.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0262621","usgsCitation":"Longley-Wood, K., Engels, M., Lafferty, K.D., McLaughlin, J.P., and Wegmann, A., 2022, Transforming Palmyra Atoll to native-tree dominance will increase net carbon storage and reduce dissolved organic carbon reef runoff: PLoS ONE, v. 17, no. 1, e0262621, 21 p., https://doi.org/10.1371/journal.pone.0262621.","productDescription":"e0262621, 21 p.","ipdsId":"IP-136178","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0262621","text":"Publisher Index Page"},{"id":397853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll","volume":"17","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Longley-Wood, Kate","contributorId":289529,"corporation":false,"usgs":false,"family":"Longley-Wood","given":"Kate","email":"","affiliations":[{"id":62174,"text":"The Nature Conservancy, Protect Oceans Land and Water Program, Boston, Massachusetts, United States of America","active":true,"usgs":false}],"preferred":false,"id":839233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engels, Mary","contributorId":289530,"corporation":false,"usgs":false,"family":"Engels","given":"Mary","affiliations":[{"id":62176,"text":"Department of Natural Resources and Society, University of Idaho, Moscow, Idaho, United States of America","active":true,"usgs":false}],"preferred":false,"id":839234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":839235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, John P. 0000-0002-8756-2123","orcid":"https://orcid.org/0000-0002-8756-2123","contributorId":203516,"corporation":false,"usgs":false,"family":"McLaughlin","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":839236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wegmann, Alex","contributorId":189488,"corporation":false,"usgs":false,"family":"Wegmann","given":"Alex","email":"","affiliations":[],"preferred":false,"id":839237,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}