Established in 1935, the U.S. Geological Survey (USGS) Cooperative Fish and Wildlife Research Units (CRU) program is a unique partnership among the USGS, State Fish and Wildlife agencies, host universities, the Wildlife Management Institute (WMI), and the U.S. Fish and Wildlife Service (FWS). As of 2023, there are 43 CRUs in 41 states that fall under three supervisory regions and a National Program Office located at USGS in Reston, Virginia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243006","usgsCitation":"Murphy, C.E., Irwin, E.R., Childs, D.E., Dennerline, D.E., and Mawdsley, J.R., 2024, At-a-Glance—Summary of the 2023 U.S. Geological Survey Cooperative Research Units Program Year-in-Review: US Geological Survey Fact Sheet 2024–3006, 4 p., https://doi.org/10.3133/fs20243006.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-163729","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":426807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3006/coverthb.jpg"},{"id":426808,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3006/fs20243006.pdf","text":"Report","size":"2.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3006 PDF"},{"id":428270,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/fs20243006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3006 HTML"},{"id":428271,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3006/fs20243006.XML","description":"FS 2024-3006 XML"},{"id":428272,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3006/images"}],"contact":"Cooperative Fish and Wildlife Research Units Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 303
Reston, VA 20192
Two interagency workshops were held in 2019 and 2023 in Fort Collins, Colorado, to discuss the use of novel data in recreation monitoring. During the workshops, the phrase “novel data in recreation monitoring” was primarily used to refer to data from social media, mobile device applications, and other online secondary sources. The goals of these workshops were to share information across agencies and researchers on the state of the science and applications for using novel data and to collectively discuss best practices for using novel data for understanding recreation on public lands and waters. Presentations during the workshops focused on use-cases, current applications, and the current state of research (as of the time of the workshops) for using novel data in recreation monitoring. Group discussions during the workshops focused on the strengths and limitations of novel data sources, potential approaches for integrating new and emerging data sources and methods with traditional approaches, and research and management needs. This report provides the proceedings of the 2019 and 2023 interagency workshops on novel data in recreation monitoring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245013","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis, U.S. Department of Agriculture Forest Service, and University of Washington","programNote":"Land Management Research Program","usgsCitation":"Wilkins, E.J., Crowley, C.S.L., White, E.M., Wood, S.A., and Schuster, R., 2024, Novel data in recreation monitoring—Summary proceedings from interagency workshops in 2019 and 2023: U.S. Geological Survey Scientific Investigations Report 2024–5013, 24 p., https://doi.org/10.3133/sir20245013.","productDescription":"vi, 24 p.","onlineOnly":"Y","ipdsId":"IP-154663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":427101,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245013/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5013"},{"id":427100,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5013/images"},{"id":426971,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.xml"},{"id":426930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5013"},{"id":426929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5013/coverthb.jpg"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
The U.S. Geological Survey (USGS), in cooperation with the National Park Service, investigated groundwater gains and losses on the upper White River within Mount Rainier National Park in Washington. This investigation was conducted using stream discharge measurements at 14 locations within 7 reaches over a 6.5-mile river length from near the White River’s origin at the terminus of the Emmons Glacier on Mount Rainier to the White River Entrance near the northeast boundary of Mount Rainier National Park. Locations selected for the stream discharge measurements were on the main channel of the White River and on tributary streams near their confluence with the White River.
A soil-water-balance (SWB) model analysis was also performed on the White River basin to estimate groundwater recharge throughout the basin during the time of the study. Analyses were made for the White River basin at the sub-basin (zone) scale to determine groundwater input to the stream for individual stream reaches. The gridded SWB model was simulated at a 10-meter (m) horizontal resolution, where recharge simulations were constructed using five spatially distributed datasets. Daily climate data as input for the simulation included gridded daily precipitation and air temperature.
Upon analysis of the seepage run results, three of the seven reaches showed groundwater gains in this study. The SWB model results were used in conjunction with the baseflow gain totals in the reaches to estimate the length of time for recharge to become base flow. Further analysis estimated the rates of groundwater flow in the zones with adjacent gaining reaches. A streamflow gain curve was created from a simple flow model for each of the zones to relate the recharge from the zones to the adjacent reaches on the White River and tributaries. The fit of the streamflow gain curve to the calculated streamflow gain during the seepage run was used to analyze where the recharge from each zone resulted as streamflow gain. Consecutive reach losses from zones D and L were immediately followed downstream by a relatively large gain in zone GH, indicating that the gain in the reach adjacent to zone GH could be from the recharge in zones D and L.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245015","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Fuhrig, L.T., Long, A.J., and Headman, A.O., 2024, Evaluation of groundwater resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020 (ver. 1.1, March 2024): U.S. Geological Survey Scientific Investigations Report 2024–5015, 19 p., https://doi.org/10.3133/sir20245015.","productDescription":"Report: vi, 19 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-148848","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":499425,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116204.htm","linkFileType":{"id":5,"text":"html"}},{"id":426941,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.XML"},{"id":426940,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5015/images"},{"id":426939,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KI310W","text":"USGS data release","description":"USGS data release","linkHelpText":"Soil water balance model of the White River basin, Mount Rainier National Park, Washington, USA"},{"id":427249,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5015/versionHistory.txt"},{"id":426938,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245015/full","linkFileType":{"id":5,"text":"html"}},{"id":426937,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.pdf","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5015"},{"id":426936,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.66827303334932,\n 47.34261069492973\n ],\n [\n -122.66827303334932,\n 46.07710849497087\n ],\n [\n -120.72369295522444,\n 46.07710849497087\n ],\n [\n -120.72369295522444,\n 47.34261069492973\n ],\n [\n -122.66827303334932,\n 47.34261069492973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 25, 2024; Version 1.1: March 29, 2024","contact":"Director, Washington Water Science Center
U.S. Geological Survey
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Intermediate sized earthquakes (≈M4–6.5) are often measured using the teleseismic body‐wave magnitude (\uD835\uDC5Ab). \uD835\uDC5Ab measurements are especially critical at the lower end of this range when teleseismic waveform modeling techniques (i.e., moment tensor analysis) are difficult. The U.S. Geological Survey National Earthquake Information Center (NEIC) determines the location and magnitude of all M 5 and greater earthquakes worldwide within 20 min of the rupture time, and therefore accurate \uD835\uDC5Ab magnitude estimates are essential to fulfill its mission. To better understand how network geometry and noise levels affect the global response capabilities, we developed a method to spatially estimate the minimum measurable \uD835\uDC5Ab. To do this, we compare expected \uD835\uDC5Ab amplitudes at every station to the station’s background noise level. We find that using NEIC’s current network geometry and these idealized thresholds, NEIC can potentially estimate \uD835\uDC5Ab magnitudes down to M 4.5 globally. Low‐latitude regions in the Southern Hemisphere present the biggest opportunity to improve monitoring capabilities. However, logistically they also present the biggest hurdles for network operators. Finally, to test the resiliency of the network we removed the 20 most important stations and found the \uD835\uDC5Ab threshold remains \uD835\uDC5Ab 4.5. However, the region where only \uD835\uDC5Ab 4.5 and greater can be estimated increases and is again restricted to the Southern Hemisphere.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230246","usgsCitation":"Ringler, A.T., Wilson, D.C., Earle, P.S., Yeck, W.L., Mason, D.B., and Wilgus, J., 2024, Noise constraints on global body‐wave measurement thresholds: Bulletin of the Seismological Society of America, v. 114, no. 4, p. 1765-1776, https://doi.org/10.1785/0120230246.","productDescription":"13 p.","startPage":"1765","endPage":"1776","ipdsId":"IP-160503","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":427200,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":897442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason, David B. 0000-0003-0313-3370 dmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0313-3370","contributorId":265781,"corporation":false,"usgs":true,"family":"Mason","given":"David","email":"dmason@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilgus, Justin T.","contributorId":206263,"corporation":false,"usgs":false,"family":"Wilgus","given":"Justin T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":897444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269056,"text":"70269056 - 2024 - Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA","interactions":[],"lastModifiedDate":"2025-07-15T15:24:44.875998","indexId":"70269056","displayToPublicDate":"2024-03-25T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA","docAbstract":"The ~300-km-long eastern Tennessee seismic zone (ETSZ), USA, is the second-most seismically active region east of the Rocky Mountains. Seismicity generally occurs below the Paleozoic fold-and-thrust belt within the Mesoproterozoic basement, at depths of 5–26 km, and earthquake magnitudes during the instrumental record have been moment magnitude (Mw)≤4.8. Evidence of surface deformation may not exist or be difficult to detect because of the vegetated and soil-mantled landscape, landslides, locally steep topography, anthropogenic landscape modification, or long, irregular recurrence intervals between surface-rupturing earthquakes. Despite the deep seismicity, analog models indicate that accumulation of strike-slip or oblique-slip displacement at depth could be expected to propagate upward through the Paleozoic section, producing a detectable surficial signal of distributed faulting. To identify potential surface deformation, we interrogated the landscape at different spatial scales. We evaluated morphotectonic and channel metrics, such as channel sinuosity and catchment-scale hypsometry. Additionally, we mapped possible fault-related topographic features on 1-m lidar. Finally, we integrated our observations with available bedrock and Quaternary surficial mapping and subsurface geophysical data. At a regional scale, most morphotectonic and channel metrics have a strong lithologic control. Within smaller regions of similar lithology, we observe changes in landscape metrics like channel sinuosity and catchment-scale hypsometry that spatially correlate with new lineaments identified in this study and previously mapped east–west Cenozoic faults. These faults have apparent left-lateral offsets, are optimally oriented to slip in the current stress field, and match kinematics from recent focal mechanisms, but do not clearly preserve evidence of late Pleistocene or Holocene tectonic surface deformation. Most newly mapped lineaments might be explained by either tectonic or non-tectonic origins, such as fluvial or karst processes. We also re-evaluated a previously described paleoseismic site and interpret that the exposure does not record evidence of late Pleistocene faulting but instead is explained by fluvial stratigraphy.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230094","usgsCitation":"Jobe, J.A., Briggs, R.W., Gold, R.D., Bauer, L., and Collett, C., 2024, Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA: Bulletin of the Seismological Society of America, v. 114, no. 4, p. 1920-1940, https://doi.org/10.1785/0120230094.","productDescription":"21 p.","startPage":"1920","endPage":"1940","ipdsId":"IP-154193","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"eastern Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.17028696488822,\n 36.643021837336434\n ],\n [\n -86.17028696488822,\n 35.0924378490018\n ],\n [\n -82.53465655915278,\n 35.0924378490018\n ],\n [\n -82.53465655915278,\n 36.643021837336434\n ],\n [\n -86.17028696488822,\n 36.643021837336434\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauer, Laurel","contributorId":266056,"corporation":false,"usgs":false,"family":"Bauer","given":"Laurel","email":"","affiliations":[{"id":54872,"text":"Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":943171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Camille 0000-0003-4836-0243","orcid":"https://orcid.org/0000-0003-4836-0243","contributorId":310393,"corporation":false,"usgs":false,"family":"Collett","given":"Camille","affiliations":[{"id":67175,"text":"Formerly: U.S. Geological Survey, Geologic Hazards Science Center","active":true,"usgs":false}],"preferred":false,"id":943172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253018,"text":"70253018 - 2024 - Fair graph learning using constraint-aware priority adjustment and graph masking in river networks","interactions":[],"lastModifiedDate":"2024-04-16T16:15:32.996155","indexId":"70253018","displayToPublicDate":"2024-03-24T11:08:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10143,"text":"Proceedings of the AAAI Conference on Artificial Intelligence","active":true,"publicationSubtype":{"id":10}},"title":"Fair graph learning using constraint-aware priority adjustment and graph masking in river networks","docAbstract":"Accurate prediction of water quality and quantity is crucial for sustainable development and human well-being. However, existing data-driven methods often suffer from spatial biases in model performance due to heterogeneous data, limited observations, and noisy sensor data. To overcome these challenges, we propose Fair-Graph, a novel graph-based recurrent neural network that leverages interrelated knowledge from multiple rivers to predict water flow and temperature within large-scale stream networks. Additionally, we introduce node-specific graph masks for information aggregation and adaptation to enhance prediction over heterogeneous river segments. To reduce performance disparities across river segments, we introduce a centralized coordination strategy that adjusts training priorities for segments. We evaluate the prediction of water temperature within the Delaware River Basin, and the prediction of streamflow using simulated data from U.S. National Water Model in the Houston River network. The results showcase improvements in predictive performance and highlight the proposed model's ability to maintain spatial fairness over different river segments.
","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","doi":"10.1609/aaai.v38i20.30212","usgsCitation":"He, E., Xie, Y., Sun, A.Y., Zwart, J.A., Yang, J., Jin, Z., Wang, Y., Karimi, H.A., and Jia, X., 2024, Fair graph learning using constraint-aware priority adjustment and graph masking in river networks: Proceedings of the AAAI Conference on Artificial Intelligence, v. 38, no. 20, p. 22087-22095, https://doi.org/10.1609/aaai.v38i20.30212.","productDescription":"9 p.","startPage":"22087","endPage":"22095","ipdsId":"IP-158367","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":440050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1609/aaai.v38i20.30212","text":"Publisher Index Page"},{"id":427821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.19185307052085,\n 38.71562965387949\n ],\n [\n -74.4374506373952,\n 38.7070541171185\n ],\n [\n -74.13043021159795,\n 41.597382404326765\n ],\n [\n -75.720357416618,\n 41.63871233834436\n ],\n [\n -76.19185307052085,\n 38.71562965387949\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2024-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Erhu","contributorId":329980,"corporation":false,"usgs":false,"family":"He","given":"Erhu","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Yiqun","contributorId":297447,"corporation":false,"usgs":false,"family":"Xie","given":"Yiqun","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":898945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":898946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":898947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Jie","contributorId":335648,"corporation":false,"usgs":false,"family":"Yang","given":"Jie","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Zhenong","contributorId":297865,"corporation":false,"usgs":false,"family":"Jin","given":"Zhenong","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Yang","contributorId":173071,"corporation":false,"usgs":false,"family":"Wang","given":"Yang","email":"","affiliations":[],"preferred":false,"id":898950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karimi, Hassan Ali","contributorId":335649,"corporation":false,"usgs":false,"family":"Karimi","given":"Hassan","email":"","middleInitial":"Ali","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70253890,"text":"70253890 - 2024 - Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study","interactions":[],"lastModifiedDate":"2024-07-01T14:43:11.240846","indexId":"70253890","displayToPublicDate":"2024-03-24T10:11:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17625,"text":"Diabetes Care","active":true,"publicationSubtype":{"id":10}},"title":"Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study","docAbstract":"We examined the association of arsenic in federally regulated community water systems (CWSs) and unregulated private wells with type 2 diabetes (T2D) incidence in the Strong Heart Family Study (SHFS), a prospective study of American Indian communities, and the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective study of racially and ethnically diverse urban U.S. communities.
We evaluated 1,791 participants from SHFS and 5,777 participants from MESA who had water arsenic estimates available and were free of T2D at baseline (2001–2003 and 2000–2002, respectively). Participants were followed for incident T2D until 2010 (SHFS cohort) or 2019 (MESA cohort). We used Cox proportional hazards mixed-effects models to account for clustering by family and residential zip code, with adjustment for sex, baseline age, BMI, smoking status, and education.
T2D incidence was 24.4 cases per 1,000 person-years (mean follow-up, 5.6 years) in SHFS and 11.2 per 1,000 person-years (mean follow-up, 14.0 years) in MESA. In a meta-analysis across the SHFS and MESA cohorts, the hazard ratio (95% CI) per doubling in CWS arsenic was 1.10 (1.02, 1.18). The corresponding hazard ratio was 1.09 (0.95, 1.26) in the SHFS group and 1.10 (1.01, 1.20) in the MESA group. The corresponding hazard ratio (95% CI) for arsenic in private wells and incident T2D in SHFS was 1.05 (0.95, 1.16). We observed statistical interaction and larger magnitude hazard ratios for participants with BMI <25 kg/m2 and female participants.
Low to moderate water arsenic levels (<10 µg/L) were associated with T2D incidence in the SHFS and MESA cohorts.
","language":"English","publisher":"American Diabetes Association","doi":"10.2337/dc23-2231","usgsCitation":"Spaur, M., Galvez-Fernandez, M., Chen, Q., Lombard, M.A., Bostick, B., Factor-Litvak, P., Fretts, A., Shea, S., Navas-Acien, A., and Nigra, A., 2024, Association of water arsenic with incident diabetes in U.S. adults: The Multi-Ethnic Study of Atherosclerosis and The Strong Heart Study: Diabetes Care, v. 47, no. 7, p. 1143-1151, https://doi.org/10.2337/dc23-2231.","productDescription":"9 p.","startPage":"1143","endPage":"1151","ipdsId":"IP-159826","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":440052,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2337/dc23-2231","text":"External Repository"},{"id":428359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaur, Maya","contributorId":257947,"corporation":false,"usgs":false,"family":"Spaur","given":"Maya","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galvez-Fernandez, Marta","contributorId":336125,"corporation":false,"usgs":false,"family":"Galvez-Fernandez","given":"Marta","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Qixuan","contributorId":318224,"corporation":false,"usgs":false,"family":"Chen","given":"Qixuan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":900009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bostick, Benjamin","contributorId":257949,"corporation":false,"usgs":false,"family":"Bostick","given":"Benjamin","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":900010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Factor-Litvak, Pam","contributorId":336127,"corporation":false,"usgs":false,"family":"Factor-Litvak","given":"Pam","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fretts, Amanda","contributorId":336128,"corporation":false,"usgs":false,"family":"Fretts","given":"Amanda","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":900012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Steven","contributorId":336129,"corporation":false,"usgs":false,"family":"Shea","given":"Steven","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":900013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Navas-Acien, Ana","contributorId":257950,"corporation":false,"usgs":false,"family":"Navas-Acien","given":"Ana","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nigra, Anne E","contributorId":257951,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne E","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":900015,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70256586,"text":"70256586 - 2024 - Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","interactions":[],"lastModifiedDate":"2024-08-22T16:38:45.585477","indexId":"70256586","displayToPublicDate":"2024-03-23T11:38:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","title":"Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum","docAbstract":"Prymnesium parvum is a harmful alga found in brackish waters worldwide whose toxins can be lethal to aquatic organisms. Established field methods to control blooms of this species, however, are unavailable. Earlier studies showed that various extracts of giant reed (Arundo donax) can suppress P. parvum growth and that ellipticine, an allelochemical present in giant reed, is a potent algicide against this species. The unintended effects of giant reed products on nontarget organisms, however, are not fully understood. This study determined the effects of giant reed leachate (aqueous extract of dried chips) and ellipticine on growth of P. parvum and the green microalga Chlorella sorokiniana; survival and reproduction of the planktonic crustacean Daphnia pulex; and hatching success, larval survival, and larval swimming behavior of the teleost fish Danio rerio. Leachate made with 3 g chips L−1 was lethally toxic to P. parvum and D. pulex, stimulated C. sorokiniana growth, and impaired D. rerio behavior. Leachate at 1 g L−1 fully suppressed P. parvum growth, had moderate effects on D. pulex reproductive output, and had no effects on D. rerio. Ellipticine at 0.01 mg L−1 irreversibly inhibited P. parvum growth, acutely but reversibly inhibited C. sorokiniana growth, slightly delayed D. pulex reproduction, and had no effects on D. rerio. These observations suggest that when applied at appropriate concentrations, natural products derived from giant reed can be used as tools to specifically control P. parvum growth with minimal effects on nontarget species.
","language":"English","publisher":"MDPI","doi":"10.3390/w16070930","usgsCitation":"Mary, M.A., Tabora-Sarmiento, S., Nash, S., Mayer, G.D., Crago, J., and Patino, R., 2024, Plant-derived products selectively suppress growth of the harmful alga Prymnesium parvum: Water, v. 16, no. 7, 930, 12 p., https://doi.org/10.3390/w16070930.","productDescription":"930, 12 p.","ipdsId":"IP-159702","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16070930","text":"Publisher Index Page"},{"id":433072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mary, Mousumi A.","contributorId":341256,"corporation":false,"usgs":false,"family":"Mary","given":"Mousumi","email":"","middleInitial":"A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabora-Sarmiento, Shisbeth","contributorId":341257,"corporation":false,"usgs":false,"family":"Tabora-Sarmiento","given":"Shisbeth","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nash, Sarah","contributorId":341258,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Gregory D.","contributorId":172783,"corporation":false,"usgs":false,"family":"Mayer","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":908154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crago, Jordan","contributorId":341260,"corporation":false,"usgs":false,"family":"Crago","given":"Jordan","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261324,"text":"70261324 - 2024 - Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","interactions":[],"lastModifiedDate":"2024-12-05T15:54:04.297803","indexId":"70261324","displayToPublicDate":"2024-03-23T09:50:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","docAbstract":"The spread of ecosystem modifying invasive plant (EMIP) species is one of the largest threats to native ecosystems in Hawaiʻi. However, differences in niche characteristics between Hawaiʻi’s isolated insular environment and the wider global distribution of these species have not been carefully examined. We used species distribution modeling (SDM) methods to assess similarities and differences in niche characteristics between global and regional scales for 17 EMIPs present in Hawaiʻi. With a clearer understanding of the global context of regional plant invasion, we combined two SDM methods to better understand the potential future regional spread: (1) a nested modeling approach to integrate global and regional invasive species distribution projections; and (2) integrating all available agency and citizen science data to minimize the effect of monitoring gaps and biases. Our results show there are multiple similarities in niche characteristics across regional and global scales for most species, such as similar sets of climatic determinants of distribution, similar responses along environmental gradients, and moderate to high niche overlap between global and regional models. However, some differences were apparent and likely due to several factors including incomplete regional spread, community assembly or diversity effects. Invaders that established earlier showed a higher degree of niche overlap and similar environmental gradient responses when comparing global and regional models. This pattern, coupled with the tendency for regionally-based projections to predict narrower distributions than global projections, indicates a potential for continued spread of several invasive species across the Hawaiian landscape. Our study has broader implications for understanding the distribution and spread of invasive species in other regions, as similar analyses and models, including a novel way to characterize environmental gradient response differences across regions or scales, can likely provide valuable information for conservation and management efforts.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03284-8","usgsCitation":"Fortini, L., Kaiser, L.R., Daehler, C., Jacobi, J.D., Dimson, M., and Gillespie, T., 2024, Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi: Biological Invasions, v. 26, p. 1827-1843, https://doi.org/10.1007/s10530-024-03284-8.","productDescription":"17 p.","startPage":"1827","endPage":"1843","ipdsId":"IP-154054","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":464808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":920384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Lauren R.","contributorId":200422,"corporation":false,"usgs":false,"family":"Kaiser","given":"Lauren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":920385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daehler, Curtis","contributorId":346962,"corporation":false,"usgs":false,"family":"Daehler","given":"Curtis","email":"","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":920386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":920387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dimson, Monica","contributorId":304630,"corporation":false,"usgs":false,"family":"Dimson","given":"Monica","email":"","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":920388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gillespie, Thomas W","contributorId":304639,"corporation":false,"usgs":false,"family":"Gillespie","given":"Thomas W","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":920389,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272675,"text":"70272675 - 2024 - 7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services","interactions":[],"lastModifiedDate":"2025-12-04T14:32:17.5883","indexId":"70272675","displayToPublicDate":"2024-03-22T16:17:22","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services","docAbstract":"Estuarine and coastal ecosystems support human populations in myriad ways. Traditionally, researchers have focused on the biophysical processes that underlie these benefits and their economic values. In the decade since the 1st Treatise, the literature on cultural ecosystem services, human health benefits, and the equitable distribution of societal benefits and burdens has grown tremendously. In this chapter we outline three dimensions of equity as they relate to estuarine and coastal ecosystems: procedural, recognitional, and distributional equity. We then apply the dimensions of equity to a suite of provisioning, regulating, and cultural ecosystem services. Finally, we explore trade-offs and beneficiaries of these ecosystem services using three case studies that consider equity in a variety of estuarine and coastal management decisions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on estuarine and coastal science (second edition), volume 7: Management, governance and socio-economics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1016/B978-0-323-90798-9.00106-2","usgsCitation":"Arkema, K.K., Cunningham, S.K., Delevaux, J.M., Balderas Guzmán, C., Klain, S., Lamb, J.B., Nelson, L.K., Scyphers, S.B., Stewart, H., and Sutton-Grier, A.E., 2024, 7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services, chap. of Treatise on estuarine and coastal science (second edition), volume 7: Management, governance and socio-economics, v. 7, p. 208-237, https://doi.org/10.1016/B978-0-323-90798-9.00106-2.","productDescription":"30 p.","startPage":"208","endPage":"237","ipdsId":"IP-159237","costCenters":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":497028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"Second Edition","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Arkema, Katie K.","contributorId":191584,"corporation":false,"usgs":false,"family":"Arkema","given":"Katie","middleInitial":"K.","affiliations":[],"preferred":false,"id":951283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Samantha K.","contributorId":363210,"corporation":false,"usgs":false,"family":"Cunningham","given":"Samantha","middleInitial":"K.","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":951284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delevaux, Jade M.S.","contributorId":363211,"corporation":false,"usgs":false,"family":"Delevaux","given":"Jade","middleInitial":"M.S.","affiliations":[{"id":86655,"text":"Seascape Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":951285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balderas Guzmán, Celina","contributorId":363212,"corporation":false,"usgs":false,"family":"Balderas Guzmán","given":"Celina","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":951286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klain, Sarah","contributorId":363213,"corporation":false,"usgs":false,"family":"Klain","given":"Sarah","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":951287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamb, Joleah B.","contributorId":363214,"corporation":false,"usgs":false,"family":"Lamb","given":"Joleah","middleInitial":"B.","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":951288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Laura K.","contributorId":363215,"corporation":false,"usgs":false,"family":"Nelson","given":"Laura","middleInitial":"K.","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":951289,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":951290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, Heidi","contributorId":363216,"corporation":false,"usgs":false,"family":"Stewart","given":"Heidi","affiliations":[{"id":86656,"text":"Tualip Tribe","active":true,"usgs":false}],"preferred":false,"id":951291,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sutton-Grier, Ariana Eileen 0000-0002-1242-7728","orcid":"https://orcid.org/0000-0002-1242-7728","contributorId":346295,"corporation":false,"usgs":true,"family":"Sutton-Grier","given":"Ariana","email":"","middleInitial":"Eileen","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":951292,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252341,"text":"ofr20241018 - 2024 - Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","interactions":[],"lastModifiedDate":"2024-03-26T16:43:36.240165","indexId":"ofr20241018","displayToPublicDate":"2024-03-22T13:06:41","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1018","displayTitle":"Greater Sage-Grouse Habitat of Nevada and Northeastern California—Integrating Space Use, Habitat Selection, and Survival Indices to Guide Areas for Habitat Management","title":"Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","docAbstract":"Greater sage-grouse populations (Centrocercus urophasianus; hereafter sage-grouse) are threatened by a suite of disturbances and anthropogenic factors that have contributed to a net loss of sagebrush-dominant shrub cover in recent decades. Declines in sage-grouse populations are largely linked to habitat loss across their range. A key component of conservation and land use planning efforts for sage-grouse involves the continued monitoring and modeling of habitat requirements and suitability across its range. The Bureau of Land Management (BLM) is addressing the management of sage-grouse habitats on BLM-authorized public lands throughout the western United States through a land use planning amendment and associated environmental impact statement (86 FR 66331). More than 25 percent of the range-wide distribution of sage-grouse is within Nevada and northeastern California, and information on sage-grouse distribution and habitat requirements is important to guide appropriate management decisions. Therefore, the BLM has identified the need for updated spatially explicit information on sage-grouse habitat in Nevada and northeastern California to guide the land use planning amendment and associated management decisions.
To address this need, researchers with the U.S. Geological Survey, in close cooperation with multiple State and Federal resource agency partners, including BLM, Nevada Department of Wildlife (NDOW) and California Department of Fish and Wildlife (CDFW), sought to map sage-grouse distribution and produce example habitat designations in these states. Herein, we report results of our primary study objective, which was to map sage-grouse habitat and create example habitat management areas, based on more than a decade of location and survival data collected from marked sage-grouse across the study region coupled with lek count survey data managed by the NDOW and the CDFW.
We expanded on previously developed methodology to incorporate information on habitat selection and survival during reproductive life stages and specific seasons with updated sage-grouse location and known fate datasets, while also including brood-rearing areas that are understood to be threatened and important for population persistence. We combined predictive habitat map surfaces for each life stage and season with updated information on current occupancy patterns to classify habitat based on its suitability and probability of occupancy. We carried out additional steps to delineate specific example habitat management areas, specifically (1) incorporated corridors connecting key nesting and brood-rearing habitat, (2) corrected outputs for pre-wildfire habitat conditions within areas burned in the last 16 years, and (3) masked out areas of anthropogenic development. Our methodological example of deriving habitat management areas was intended to help inform decisions by BLM and other land managers regarding conservation and management of sage-grouse. Associated data products in the form of habitat maps provide updated, detailed, and comprehensive information about the status of habitats and can be useful to partner agencies in their efforts to designate and rank habitats for this species of high conservation concern in Nevada and California, with full recognition that on-the-ground field data and local sources of information and expertise should be used in conjunction with inferences from these models.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241018","collaboration":"Prepared in cooperation with the Bureau of Land Management, Nevada Department of Wildlife, and California Department of Fish and Wildlife","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Milligan, M.C., Coates, P.S., O’Neil, S.T., Brussee, B.E., Chenaille, M.P., Friend, D., Steele, K., Small, J.R., Bowden, T.S., Kosic, A.D., and Miller, K., 2024, Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management: U.S. Geological Survey Open-File Report 2024–1018, 70 p., https://doi.org/10.3133/ofr20241018.","productDescription":"Report: viii, 70 p.: Data Release","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-157608","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427111,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241018/full"},{"id":426917,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933VE6W","text":"USGS Data Release","description":"Coates, P.S., Milligan, M.C., O’Neil, S.T., Brussee, B.E., and Chenaille, M.P., 2024, Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management: U.S. Geological Survey data release, https://doi.org/10.5066/P933VE6W.","linkHelpText":"Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management"},{"id":426916,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1018/images"},{"id":426914,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.xml"},{"id":426913,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1018/covrthb.jpg"}],"country":"United States","state":"California, Idaho, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114,\n 43\n ],\n [\n -121,\n 43\n ],\n [\n -121,\n 38\n ],\n [\n -114,\n 38\n ],\n [\n -114,\n 43\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Nearly one in five reptile species is at risk of extinction. Changes in habitat area, its configuration, and vegetation diversity could affect habitat use, but their relative importance is understudied. We assessed how these factors affected reptile presence in agricultural landscapes figure in Iowa, United States, using 695 cover boards visited 16,441 times in 2015–2020. Species-wise encounter rates ranged 0.0001–0.012. Eight of 11 species and 54.2% of individuals were species of greatest conservation need. Habitat area, configuration, and vegetation diversity influenced reptile presence similarly. Mean patch occupancy was 0.18 for common garter snake (CG, Thamnophis sirtalis) and 0.45 for all snakes (AS). Naïve presence was explained by effort (odds ratio [OR]AS = 1.83, ORCG = 1.79), vegetation diversity (ORAS = 1.28, ORCG = 1.28), woody cover (ORAS = 1.24, ORCG = 1.41), and patch size (ORAS = 1.30). Large patch prairies were more likely to contain snakes than other conservation practices (\uD835\uDC5F̂encounter = 0.291), and more likely to contain CG (0.098) than prairie contour strips (0.031), waterways (0.018), grass contour strips (0.016), or terraces (0.015). While we documented low overall reptile presence, their higher presence in large prairie patches underscores the importance of core nature reserves for reptile conservation.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13100","usgsCitation":"Stephenson, M.D., Schulte, L.A., and Klaver, R.W., 2024, The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes: Conservation Science and Practice, v. 6, no. 4, e13100, 16 p., https://doi.org/10.1111/csp2.13100.","productDescription":"e13100, 16 p.","ipdsId":"IP-152690","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13100","text":"Publisher Index Page"},{"id":432033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.22124038615748,\n 42.82477121925069\n ],\n [\n -95.22124038615748,\n 41.12043796716799\n ],\n [\n -91.13952782789761,\n 41.12043796716799\n ],\n [\n -91.13952782789761,\n 42.82477121925069\n ],\n [\n -95.22124038615748,\n 42.82477121925069\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Matthew D.","contributorId":274318,"corporation":false,"usgs":false,"family":"Stephenson","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Lisa A.","contributorId":274319,"corporation":false,"usgs":false,"family":"Schulte","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907270,"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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257194,"text":"70257194 - 2024 - Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","interactions":[],"lastModifiedDate":"2024-08-13T15:19:28.725216","indexId":"70257194","displayToPublicDate":"2024-03-22T10:12:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","docAbstract":"Freshwater mussels provide invaluable ecological services but are threatened by habitat alteration, poor water quality, invasive species, climate change, and contaminants, including contaminants of emerging concern (CECs). Contaminants of emerging concerns are well documented in aquatic environments, including the Great Lakes Basin, but limited information is available on how environmentally relevant mixtures affect freshwater mussel biology throughout their varied life stages. Our main goal was to assess mussels' reproductive output in response to exposure to agricultural and urban CEC mixtures during glochidial development through juvenile transformation and excystment focusing on how exposure duration and treatment affect: (1) the number of glochidia prematurely released by brooding females, (2) glochidial transformation through host-fish excystment, and (3) the number of fully metamorphosed juveniles able to continue the lifecycle. Mussels and host fish were exposed to either a control water (CW), control ethanol (CE), agriculture CEC mixture (AM), or urban CEC mixture (UM) for 40 and 100 days. We found no effect from treatment or exposure duration on the number of glochidia prematurely released. Fewer partially and fully metamorphosed AM juveniles were observed during the 100-day exposure, compared with the 40-day. During the 40-day exposure, CW produced more fully metamorphosed individuals compared with CE and UM, but during the 100-day exposure AM produced more fully metamorphosed individuals compared with the CW. There was reduction in fully metamorphosed juveniles compared with partially metamorphosed for CE and UM during the 40-day exposure, as well as in the CW during the 100-day exposure. These results will be important for understanding how mussel populations are affected by CEC exposure. The experiments also yielded many insights for laboratory toxicology exposure studies.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5844","usgsCitation":"Richard, M.A., Elliott, S.M., Hummel, S.L., Woolnough, D., Rzodkiewicz, L.D., Gill, S., Rappold, J., and Annis, M., 2024, Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1112-1125, https://doi.org/10.1002/etc.5844.","productDescription":"24 p.; Data Release","startPage":"1112","endPage":"1125","ipdsId":"IP-150504","costCenters":[],"links":[{"id":440057,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5844","text":"Publisher Index Page"},{"id":435015,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFLVII","text":"USGS data release","linkHelpText":"Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018"},{"id":432599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Richard, Molly Anne 0000-0002-2663-5130","orcid":"https://orcid.org/0000-0002-2663-5130","contributorId":340509,"corporation":false,"usgs":true,"family":"Richard","given":"Molly","email":"","middleInitial":"Anne","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woolnough, D.A.","contributorId":83370,"corporation":false,"usgs":true,"family":"Woolnough","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":909696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rzodkiewicz, Lacey D.","contributorId":342117,"corporation":false,"usgs":false,"family":"Rzodkiewicz","given":"Lacey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":909697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, Stephanie","contributorId":340795,"corporation":false,"usgs":false,"family":"Gill","given":"Stephanie","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":909698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rappold, Justin","contributorId":342118,"corporation":false,"usgs":false,"family":"Rappold","given":"Justin","email":"","affiliations":[],"preferred":false,"id":909699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Annis, Mandy mannis@usgs.gov","contributorId":150368,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy","email":"mannis@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":909700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255906,"text":"70255906 - 2024 - The role of sediment ingestion in exposing bottom-feeding fish to chemical elements","interactions":[],"lastModifiedDate":"2024-07-10T14:59:36.525008","indexId":"70255906","displayToPublicDate":"2024-03-22T09:57:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The role of sediment ingestion in exposing bottom-feeding fish to chemical elements","docAbstract":"Digesta were collected from the intestines of seven species of bottom-feeding fish to better understand the role of incidental ingestion of sediment in exposing fish to inorganic contaminants. A composite sediment tracer variable, based on concentrations of Co, Cr, Ni, Ti, V, and Y in digesta and in sediment, was calculated to estimate sediment content of digesta. Concentration factors (mg/kg in digesta divided by mg/kg in sediment) of eight elements of interest were linearly regressed on this tracer variable. The relative importance of sediment ingestion to oral exposure was quantified. Zinc, Cd, and Cu were ingested mainly from sediment-free food. Arsenic, Cr, Ni, Al, and Pb, in contrast, were ingested mainly from sediment. As an example, 93% of the Ni in digesta from a brown bullhead (Ameiurus nebulosus) was from sediment and only 7% from food. Regressions of Al and Pb in digesta of suckers (Catostomidae) suggested an additional oral source, possibly from oxides coating biotic or abiotic surfaces. Overall, concentrations of 12 of 21 elements studied were positively correlated with sediment content (p < 0.005). Including sediment ingestion as a pathway for bottom-feeding fish is essential for accurately estimating exposures in toxicological studies.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5835","usgsCitation":"Beyer, W.N., and Pinkney, A.E., 2024, The role of sediment ingestion in exposing bottom-feeding fish to chemical elements: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1036-1046, https://doi.org/10.1002/etc.5835.","productDescription":"11 p.","startPage":"1036","endPage":"1046","ipdsId":"IP-150175","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":430895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":905980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":905981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70248795,"text":"70248795 - 2024 - Environmental disturbances and restoration of salt marshes","interactions":[],"lastModifiedDate":"2024-06-04T14:00:16.557144","indexId":"70248795","displayToPublicDate":"2024-03-22T08:58:28","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6.16","title":"Environmental disturbances and restoration of salt marshes","docAbstract":"Salt and brackish marshes (hereafter salt marshes) are the dominant coastal wetland in temperate and boreal intertidal settings. Human-enhanced disturbances threaten their persistence and functionality, with consequences to many ecosystem services. Restoration potentials are very site specific, varying by degree of disturbance and target goals. Global changes in climate and land-use will continue to impact salt marsh extent and function, requiring a portfolio of responses. While local responses may achieve limited target goals for salt marsh functions, preservation of current tidal wetlands and their inland migration corridors is the most viable option for maintaining a full suite of salt marsh ecosystem services, globally.
","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-323-90798-9.00095-0","usgsCitation":"Weis, J., and Windham-Myers, L., 2024, Environmental disturbances and restoration of salt marshes, p. 549-595, https://doi.org/10.1016/B978-0-323-90798-9.00095-0.","productDescription":"47 p.","startPage":"549","endPage":"595","ipdsId":"IP-150794","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":429497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weis, Judith","contributorId":329960,"corporation":false,"usgs":false,"family":"Weis","given":"Judith","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":883700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":883699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252455,"text":"70252455 - 2024 - Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?","interactions":[],"lastModifiedDate":"2024-03-25T14:10:12.17114","indexId":"70252455","displayToPublicDate":"2024-03-22T08:53:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?","docAbstract":"The Parkfield transitional segment of the San Andreas Fault (SAF) is characterized by the production of frequent quasi-periodical M6 events that break the very same asperity. The last Parkfield mainshock occurred on 28 September 2004, 38 years after the 1966 earthquake, and after the segment showed a ∼22 years average recurrence time. The main reason for the much longer interevent period between the last two earthquakes is thought to be the reduction of the Coulomb stress from the M6.5 Coalinga earthquake of 2 May 1983, and the M6 Nuñez events of June 11th and 22 July 1983. Plausibly, the transitional segment of the SAF at Parkfield is now in the late part of its seismic cycle and current observations may all be relative to a state of stress close to criticality. However, the behavior of the attenuation parameter in the last few years seems substantially different from the one that characterized the years prior to the 2004 mainshock. A few questions arise: (i) Does a detectable preparation phase for the Parkfield mainshocks exist, and is it the same for all events? (ii) How dynamically/kinematically similar are the quasi-periodic occurrences of the Parkfield mainshocks? (iii) Are some dynamic/kinematic characteristics of the next mainshock predictable from the analysis of current data? (e.g., do we expect the epicenter of the next failure to be co-located to that of 2004?) (iv) Should we expect the duration of the current interseismic period to be close to the 22-year “undisturbed” average value? We respond to the questions listed above by analyzing the non-geometric attenuation of direct S-waves along the transitional segment of the SAF at Parkfield, in the close vicinity of the fault plane, between January 2001 and November 2023. Of particular interest is the preparatory behavior of the attenuation parameter as the 2004 mainshock approached, on both sides of the SAF. We also show that the non-volcanic tremor activity modulates the seismic attenuation in the area, and possibly the seismicity along the Parkfield fault segment, including the occurrence of the mainshocks.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2024.1349425","usgsCitation":"Malagnini, L., Nadeau, R., and Parsons, T.E., 2024, Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?: Frontiers in Earth Science, v. 12, 1349425; 16 p., https://doi.org/10.3389/feart.2024.1349425.","productDescription":"1349425; 16 p.","ipdsId":"IP-161211","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/feart.2024.1349425","text":"Publisher Index Page"},{"id":426966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","otherGeospatial":"Sand Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.8,\n 36.2\n ],\n [\n -120.8,\n 35.7\n ],\n [\n -120.2,\n 35.7\n ],\n [\n -120.2,\n 36.2\n ],\n [\n -120.8,\n 36.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":897204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nadeau, Robert M. 0000-0003-1255-0643","orcid":"https://orcid.org/0000-0003-1255-0643","contributorId":264609,"corporation":false,"usgs":false,"family":"Nadeau","given":"Robert M.","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":897205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252615,"text":"70252615 - 2024 - Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","interactions":[],"lastModifiedDate":"2024-07-15T14:54:36.864148","indexId":"70252615","displayToPublicDate":"2024-03-22T06:49:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","title":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","docAbstract":"Coastal flooding affects low-lying communities worldwide and is expected to increase with climate change, especially along reef-lined coasts, where wave-driven flooding is particularly prevalent. However, current regional modeling approaches are either insufficient or too computationally expensive to accurately assess risks in these complex environments. This study introduces and validates an improved computationally efficient and physics-based approach to compute dynamic wave-driven regional flooding on reef-lined coasts. We coupled a simplified-physics flood model (SFINCS) with a one-dimensional wave transformation model (XBeach-1D). To assess the performance of the proposed approach, we compared its results with results from a fully resolving two-dimensional wave transformation model (XBeach-2D). We applied this approach for a range of storms and sea-level rise scenarios for two contrasting reef-lined coastal geomorphologies: one low relief area and one high relief area. Our findings reveal that SFINCS coupled with XBeach-1D generates flood extents comparable to those produced by XBeach-2D, with a hit rate of 92%. However, this method tends to underpredict the flood extent of weaker, high-frequency storms and overpredict stronger, low-frequency storms. Across scenarios, our approach overpredicted the mean flood water depth, with a positive bias of 7 cm and root mean square difference of 15 cm. Offering approximately 100 times greater computational efficiency than its two-dimensional XBeach counterpart, this flood modeling technique is recommended for wave-driven flood modeling in scenarios with high computational demands, such as modeling numerous scenarios or undertaking detailed regional-scale modeling.
Long-term environmental monitoring surveys are designed to achieve a desired precision (measured by variance) of resource conditions based on natural variability information. Over time, increases in resource variability and in data use to address issues focused on small areas with limited sample sizes require bolstering of attainable precision. It is often prohibitive to do this by increasing sampling effort. In cases with spatially overlapping monitoring surveys, composite estimation offers a statistical way to obtain a precision-weighted combination of survey estimates to provide improved population estimates (more accurate) with improved precisions (lower variances). We present a composite estimator for overlapping surveys, a summary of compositing procedures, and a case study to illustrate the procedures and benefits of composite estimation. The study uses the two terrestrial monitoring surveys administered by the Bureau of Land Management (BLM) that entirely overlap. Using 2015–18 data and 13 land-health indicators, we obtained and compared survey and composite indicator estimates of percent area meeting land-health standards for sagebrush communities in Wyoming’s Greater Sage-Grouse (Centrocercus urophasianus) Core and NonCore conservation areas on BLM-managed lands. We statistically assessed differences in indicator estimates between the conservation areas using composite estimates and estimates of the two surveys individually. We found composite variance to be about six to 24 units lower than 37% of the survey variances and composite estimates to differ by about six to 10 percentage points from six survey estimates. The composite improvements resulted in finding 11 indicators to statistically differ (p <0.05) between the conservation areas compared to only six and seven indicators for the individual surveys. Overall, we found composite estimation to be an efficient and useful option for improving environmental monitoring information where two surveys entirely overlap and suggest how this estimation method could be beneficial where environmental surveys partially overlap and in small area applications.
Municipal and industrial wastewater effluent is an important source of water for lotic systems, especially during periods of low flow. The accumulated wastewater effluent flows—expressed as a percentage of total streamflow (ACCWW%)—contain chemical mixtures that pose a risk to aquatic life; fish may be particularly vulnerable when chronically exposed. Although there has been considerable focus on individual-level effects of exposure to chemical mixtures found in wastewater effluent, scaling up to population-level effects remains a challenging component needed to better understand the potential consequences of exposure in wild populations. This may be particularly important under a changing climate in which wastewater reuse could be essential to maintain river flows. We evaluated the effects of chronic exposure to wastewater effluent, as measured by ACCWW%, on the relative abundance of young-of-year (YOY), juvenile, and adult smallmouth bass (Micropterus dolomieu) populations in the Shenandoah River Watershed (USA). We found that increases in ACCWW% in the previous year and during the prespawn period were negatively correlated with the relative abundance of YOY, resulting in an average 41% predicted decrease in abundance (range = 0.5%–94% predicted decrease in abundance). This lagged effect suggests that adult fish reproductive performance may be compromised by chemical exposure during periods of high ACCWW%. No relationships between ACCWW% and juvenile or adult relative abundance were found, suggesting that negative effects of ACCWW% on YOY abundance may be offset due to compensatory mechanisms following higher ACCWW% exposure. Understanding the effects of wastewater effluent exposure at multiple levels of biological organization will help in the development of management strategies aimed at protecting aquatic life. Environ Toxicol Chem 2024;43:1138–1148. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
Groundwater development, mainly for large-scale irrigation, has increased substantially in the Harney Basin of southeastern Oregon since 2010. Concurrently, some areas of the basin experienced groundwater-level declines of more than 100 feet, and some shallow wells have gone dry. The Oregon Water Resources Department has limited new groundwater development in the basin until an improved understanding of the groundwater-flow system is available. The groundwater resources report by Gingerich and others (2022, U.S. Geological Survey Scientific Investigations Report 2021–5103, https://doi.org/10.3133/sir20215103) provides that understanding. This report describes the development of a numerical groundwater-flow model that can be used as a tool to help improve that understanding. The Harney Basin Groundwater Model was developed using the finite-difference groundwater-modeling software U.S. Geological Survey modular finite-difference groundwater-flow model (MODFLOW 6) and associated Python pre- and post-processing routines. The groundwater model encompasses the entire 5,240-square-mile Harney Basin and adjacent areas and is calibrated to the hydrologic conditions from 1930 to 2018. The model has a uniform grid consisting of 78,064 nearly square cells, each covering 2,005 by 2,007 feet (about 92 acres) and has 10 layers (780,640 total cells) representing the vertical distribution of hydrogeologic units. The results from the calibrated model simulations indicate that groundwater pumpage exceeded recharge since about the mid-1980s, resulting in an estimated net cumulative depletion of groundwater storage (discharge minus recharge) of about 840,000 acre-feet and also indicated declines in groundwater evapotranspiration and spring and stream discharge. Model simulations show as much as 100 feet of groundwater-level decline in some areas and more than 40 feet of decline in widespread areas in recent decades. Model simulations are consistent with field observations of groundwater levels through time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245017","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gingerich, S.B., Boschmann, D.E., Grondin, G.H., and Schibel, H.J., 2024, Groundwater model of the Harney Basin, southeastern Oregon: U.S. Geological Survey Scientific Investigations Report 2024–5017, 104 p., https://doi.org/10.3133/sir20245017.","productDescription":"Report: xii, 104 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-152081","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499430,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116178.htm","linkFileType":{"id":5,"text":"html"}},{"id":426855,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.jpg"},{"id":426856,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.pdf","text":"Report","size":"47.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5017"},{"id":426869,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OEKEIO","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW 6 model used to simulate groundwater flow in the Harney Basin, southeastern Oregon"},{"id":426859,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.XML"},{"id":426858,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5017/images"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.44430319880412,\n 44.965776942074626\n ],\n [\n -121.44430319880412,\n 42.262073209475204\n ],\n [\n -117.31344382380401,\n 42.262073209475204\n ],\n [\n -117.31344382380401,\n 44.965776942074626\n ],\n [\n -121.44430319880412,\n 44.965776942074626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
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The City of Tucson water utility, Tucson Water, began releasing treated effluent into the Santa Cruz River channel near downtown Tucson in 2019. This recharge project—the Heritage Project—is intended to create a reach of consistent flow in the channel and recharge water to the aquifer. Tracking the dispersal of recharged water is important for management decisions because groundwater movement depends on spatially variable characteristics of the subsurface and cannot be fully predicted in advance. Groundwater-level measurements in wells are useful, but the relation between water storage and groundwater-level change depends on the unknown storage coefficient of the aquifer. To estimate storage changes caused by recharge of reclaimed effluent released into the channel for the Heritage Project, the U.S. Geological Survey (USGS) collected repeat microgravity data along the Santa Cruz River in Tucson, Arizona, from 2019 to 2022. This method augments groundwater-level monitoring by providing a direct quantitative measurement of changes in the quantity of water stored in the subsurface.
Preliminary results of the monitoring through 2022 showed consistent storage increases only near and upstream from the Heritage Project outfall site. Initially high storage increases at some locations west of the channel and in line with Sentinel Peak reached roughly steady state in later times. North of Sentinel Peak, a storage increase from 2020 to 2021 was followed by a storage decrease from 2021 to 2022. Storage changes in the area north of Sentinel Peak appear to be related to the number of days flows in the channel were observed farther downstream from the outfall site (at USGS streamgage 09482500). This observation is likely due to the potential formation of a clogging layer that would allow surface water to disperse farther horizontally (downstream) before infiltrating. This phenomenon has been observed downstream of other recharged effluent projects and has been reduced by large flows in the channel, such as those occurring during large runoff events. There were no large or consistent storage increases near the Water Quality Assurance Revolving Fund (WQARF) sites included in this study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235115","collaboration":"Prepared in cooperation with Tucson Water, a department of the City of Tucson","usgsCitation":"Wildermuth, L.M., and Conrad, J.L., 2024, Monitoring aquifer-storage change from artificial recharge with repeat microgravity along Santa Cruz River, Tucson, Arizona, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5115, 20 p., https://doi.org/10.3133/sir20235115.","productDescription":"Report: v, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-142205","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":426842,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5115/sir20235115.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426841,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5115/covrthb.jpg"},{"id":426838,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AFRZDF","text":"USGS Data Release","description":"Wildermuth, L.M., and Conrad, J.L., 2023, Repeat microgravity data from Santa Cruz River, Tucson, Arizona, 2019– 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9AFRZDF.","linkHelpText":"Repeat microgravity data from Santa Cruz River, Tucson, Arizona, 2019– 2022"},{"id":499385,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116175.htm","linkFileType":{"id":5,"text":"html"}},{"id":426845,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235115/full"},{"id":426844,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5115/images"},{"id":426843,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5115/sir20235115.xml"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.92595968619914,\n 32.858435478248595\n ],\n [\n -111.92595968619914,\n 31.25702551496481\n ],\n [\n -110.04729757682384,\n 31.25702551496481\n ],\n [\n -110.04729757682384,\n 32.858435478248595\n ],\n [\n -111.92595968619914,\n 32.858435478248595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
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The U.S. Geological Survey, in cooperation with the National Marine Sanctuary Program of the National Oceanic and Atmospheric Administration, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary (SBNMS) region since 1993. The area being mapped using geophysical and geological data includes the SBNMS and the surrounding region, which totals approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. The seabed is a glaciated terrain that is topographically and texturally diverse. Quadrangle 5, the subject of this scientific investigations map, has an area of 211 km2 and has water depths that range from 23 meters (m) on the Stellwagen Bank crest to 105 m in the Stellwagen Basin. Seven map types, each at a scale of 1:25,000, depict seabed topography, ruggedness, backscatter intensity, distribution of geologic substrates, sediment mobility, distribution of fine- and coarse-grained sand, and substrate mud content. These maps show the distribution of geologic substrates on the crest and western flank of the south-central part of Stellwagen Bank and in Stellwagen Basin to the west. Interpretations of multibeam sonar bathymetric and seabed backscatter imagery, photographs, video imagery, and grain-size analyses were used to create the geology-based maps. Data from 729 stations were analyzed, including 620 sediment samples. The geologic substrate maps of quadrangle 5 show the distribution of 20 substrates that represent a wide range of textures, such as mobile and rippled sand, immobile sand, sand that partially veneers gravel, boulder ridges, and mud. Mapped substrates are characterized by sediment grain-size composition, surface morphology, substrate layering, the mobility or immobility of substrate surfaces, and water depth range. This scientific investigations map portrays the major geological elements (substrates, topographic features, and processes) of environments in quadrangle 5. It is intended to provide a foundation for research into present and past sediment transport processes in a complex terrain, provide insights into the ecological requirements of invertebrate and vertebrate species that utilize the various substrates, and to support seabed management in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3515","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Valentine, P.C., and Cross, V.A., 2024, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 5 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3515, 8 sheets, scale 1:25,000, 27-p. pamphlet, https://doi.org/10.3133/sim3515.","productDescription":"Pamphlet: v, 27 p.; 8 Sheets: 26.96 × 32.43 inches or smaller; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082905","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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Nonnative species may display unique life history traits when established in habitats with distinctive environmental and biotic contexts compared with their native ecosystems. Gulf killifish (Fundulus grandis), native to coastal habitats of the Gulf of Mexico, are established in several inland river systems where they pose a potential threat to native fishes. In the Pecos River, Texas, nonnative Gulf killifish have shown a high rate of piscivory compared with native coastal populations; otherwise, little is known about the ecology of the species in inland systems. We examined reproductive characteristics, size, and age of Gulf killifish in the Pecos River. We found that reproduction takes place approximately between late March and September, with the gonadosomatic index of females showing a large and extended peak in spring and a second minor peak in late August–September. Our age estimations indicate that this population consists mostly of fish <2 years old, similarly to that reported for coastal populations. Total length ranged 11.9–143.4 mm for males and 32.3–162.5 mm for females, indicating a sexually dimorphic size structure with Pecos River individuals reaching larger sizes compared with coastal populations. The relatively large size and piscivorous nature of Gulf killifish, along with tolerance for a wide range of environmental conditions, are attributes in nonnative species hypothesized to promote invasion success and replacement of native species.
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