Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates agricultural water use, how water moves, and different ways that water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip234","usgsCitation":"Love, S., Hill, S., Hopkins, B., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Agriculture [poster]: U.S. Geological Survey General Information Product 234, https://doi.org/10.3133/gip234.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154488","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426681,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/234/coverthb.jpg"},{"id":426529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/234/gip234.pdf","text":"Report","size":"3.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 234"},{"id":426779,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/234/gip234_print.pdf","text":"Report","size":"27.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 234","linkHelpText":"High-resolution file for printing"},{"id":426679,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426680,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426682,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426684,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426683,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
The water cycle describes how water moves from Earth’s surface into the atmosphere, then back to the surface again or to below Earth’s surface. This educational poster depicts five key water-cycle processes that transport or transform water between states: evaporation, transpiration, condensation, precipitation, and infiltration. It illustrates examples of natural and human interactions with these processes. This poster is intended for eighth-grade audiences.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip235","usgsCitation":"Anderson, E., Hill, S., Nixon, R., Abbott, B., Lee, R., Wood, R., Carling, G., Hopkins, B., Corson-Dosch, H.R., Nell, C., and Bailey, E., 2024, Water cycle processes [poster]: U.S. Geological Survey General Information Product 235, https://doi.org/10.3133/gip235.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-154487","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426689,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426688,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426687,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426686,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426685,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426780,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235_print.pdf","text":"Report","size":"3.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235","linkHelpText":"High-resolution file for printing"},{"id":426531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235.pdf","text":"Report","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235"},{"id":426530,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/235/coverthb.jpg"},{"id":426690,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is on the coast, how water moves, and different ways that water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip232","usgsCitation":"Love, S., Hill, S., Gill, R., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Coast [poster]: U.S. Geological Survey General Information Product 232, https://doi.org/10.3133/gip232.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154489","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426672,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426671,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426670,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426669,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426668,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426525,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/232/gip232.pdf","text":"Report","size":"23.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 232"},{"id":426777,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/232/gip232_print.pdf","text":"Report","size":"52.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 232","linkHelpText":"High-resolution file for printing"},{"id":426667,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/232/coverthb.jpg"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in a desert environment, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip238","usgsCitation":"Love, S., Hill, S., Carling, G., Lemonte, J., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Desert [poster]: U.S. Geological Survey General Information Product 238, https://doi.org/10.3133/gip238.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154490","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/238/coverthb.jpg"},{"id":426706,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426707,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/238/gip238.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 238"},{"id":426783,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/238/gip238_print.pdf","text":"Report","size":"49.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 238","linkHelpText":"High-resolution file for printing"},{"id":426703,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426704,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426705,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426708,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in forests, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip237","usgsCitation":"Love, S., Hill, S., Carling, G., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Forest [poster]: U.S. Geological Survey General Information Product 237, https://doi.org/10.3133/gip237.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154491","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426699,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426700,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426702,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/237/coverthb.jpg"},{"id":426535,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/237/gip237.pdf","text":"Report","size":"6.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 237"},{"id":426782,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/237/gip237_print.pdf","text":"Report","size":"29.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 237","linkHelpText":"High-resolution file for printing"},{"id":426697,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426698,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426701,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in urban environments, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip233","usgsCitation":"Love, S., Hill, S., Hopkins, B., Abbott, B., Lee, R., Wood, R., Bailey, E., Nixon, R., Corson-Dosch, H.R., Nell, C., and Hale, R., 2024, Where is the water? Urban [poster]: U.S. Geological Survey General Information Product 233, https://doi.org/10.3133/gip233.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154493","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426677,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426676,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? Suburban [poster]"},{"id":426675,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426674,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426673,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"},{"id":426778,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/233/gip233_print.pdf","text":"Report","size":"41.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 233","linkHelpText":"High-resolution file for printing"},{"id":426678,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426526,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/233/coverthb.jpg"},{"id":426527,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/233/gip233.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 233"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in the suburbs, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip236","usgsCitation":"Hale, M., Wright, A., Hill, S., Abbott, B., Lee, R., Wood, R., Bailey, E., Nixon, R., Hale, R., Corson-Dosch, H.R., Nell, C., and Song, K., 2024, Where is the water? Suburban [poster]: U.S. Geological Survey General Information Product 236, https://doi.org/10.3133/gip236.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154492","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426694,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"- Water Cycle Processes [Poster]"},{"id":426532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/236/coverthb.jpg"},{"id":426533,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/236/gip236.pdf","text":"Report","size":"17.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 236"},{"id":426781,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/236/gip236_print.pdf","text":"Report","size":"35.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 236","linkHelpText":"High-resolution file for printing"},{"id":426692,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip233","text":"General Information Product 233","linkHelpText":"- Where is the Water? Urban [Poster]"},{"id":426693,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip234","text":"General Information Product 234","linkHelpText":"- Where is the Water? Agriculture [Poster]"},{"id":426695,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? Forest [Poster]"},{"id":426696,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"},{"id":426691,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip232","text":"General Information Product 232","linkHelpText":"- Where is the Water? Coast [Poster]"}],"contact":"Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
The Maverick Basin of south Texas is currently undergoing active exploration and production of gas and oil from tight sandstone reservoirs. The most productive tight sandstones in the basin are in the Upper Cretaceous San Miguel, Olmos, and Escondido Formations. These units are second only to the Eagle Ford Shale in terms of cumulative production volumes. The structural history of the Maverick Basin, from rifting to subsidence to exhumation, has had a profound effect on the characteristics of these reservoirs and the petroleum resources contained therein. This U.S. Geological Survey review of the production history of these strata reflects a recent shift from conventional production to horizontal drilling (unconventional) that exploits low permeability reservoirs in previously overlooked areas of existing oil and gas fields in southern Texas, typically outside of established field boundaries.
To investigate the physical properties of the Maverick Basin hydrocarbon accumulations, this case study compiled American Petroleum Institute (API) gravity measurements and calculated cumulative gas/oil ratios (GOR) for thousands of producing wells from the San Miguel, Olmos, and Escondido Formations. Maps were generated from the compiled well production data to show the spatial heterogeneity of API gravity and GOR values for the three formations within the Maverick Basin and immediately outside the basin to the northeast. Within the Maverick Basin, the spatial patterns of API gravity values indicate lighter oils downdip towards the southern basin edge. GOR values indicative of wet and dry gases within the basin are seen interspersed, with values that correspond to black and heavy oils. Differences in the spatial patterns of the petroleum properties within the Maverick Basin are interpreted as effects of Eocene basin inversion caused by Laramide orogenic deformation, and the resulting reservoir exhumation of basin strata. East of the Maverick Basin, spatial distributions of API gravity and GOR values show progressively heavier oils updip to the northwest, grading to dry gases downdip to the southeast, which correlates to the oil and gas windows of the underlying Eagle Ford Shale.
Correlation of API gravity and GOR values from the San Miguel, Olmos, and Escondido Formations with thermal maturity data from the Eagle Ford Shale suggests that the Eagle Ford Shale is the petroleum source, and that petroleum migration was approximately vertical for areas to the east of the Maverick Basin. The discontinuity of API gravity and GOR properties within the Maverick Basin implies a complex petroleum charge history, possibly involving the remigration of petroleum and the addition of petroleum from other source intervals in Mexico, to the southwest. Depressurization of exhumed, overpressured reservoirs of the San Miguel, Olmos, and Escondido Formations can explain the intermittent occurrence of gas production throughout the southern Maverick Basin by exsolution of gas from formation brines and the resulting dry gas flushing of hydrocarbon-charged reservoirs. The introduction of dry gas through flushing can, in turn, explain why the patterns of API gravity and GOR values are so dissimilar in the Maverick Basin. This process has implications for possible future production of unconventional resources from undiscovered tight-gas reservoirs in strata of the San Miguel, Olmos, and Escondido Formations, and a different approach to petroleum exploration may be needed in the Maverick Basin relative to exploration techniques applied in other basins within the northern Gulf of Mexico.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235124","programNote":"Energy Resources Program","usgsCitation":"Doolan, C.A., Craddock, W.H., Buursink, M.L., Hatcherian, J.J., and Cahan, S.M., 2024, Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history: U.S. Geological Survey Scientific Investigations Report 2023–5124, 24 p., https://doi.org/10.3133/sir20235124.","productDescription":"iv, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-133374","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":426494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5124/coverthb2.jpg"},{"id":426498,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.XML"},{"id":426497,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5124/images/"},{"id":426496,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235124/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":426495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.pdf","text":"Report","size":"2.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5124"},{"id":499389,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116208.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Maverick Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.09222334413582,\n 30.33527822084403\n ],\n [\n -101.09222334413582,\n 26.628154158079013\n ],\n [\n -95.81878584413593,\n 26.628154158079013\n ],\n [\n -95.81878584413593,\n 30.33527822084403\n ],\n [\n -101.09222334413582,\n 30.33527822084403\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 954
Reston, VA 20192
In response to the increasing frequency of cyanobacterial harmful algal blooms (CyanoHABs) in the Finger Lakes region of New York State, a pilot study by the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, was conducted to enhance CyanoHAB monitoring and understanding. High-frequency sensors were deployed on open water monitoring-station platforms at Seneca Lake in 2019–20, at Owasco Lake in 2019–20, and at Skaneateles Lake in 2019. One of the goals of this study was to evaluate the ability of in-place sensors to make representative measurements of dissolved organic matter, nutrients, and algal pigments (as indicators of phytoplankton biomass) while collecting routine field parameters (water temperature, specific conductance, pH, dissolved oxygen, turbidity, weather, and light) to provide additional information about environmental conditions.
Despite challenges like power issues and sensor fouling, the sensors performed well overall. However, correlation analyses between sensor readings and laboratory measurements revealed variable performance. Results indicate the relation between the fluorescent dissolved organic matter sensor and laboratory-measured dissolved organic carbon was weak at all study lakes. The nitrate sensors can be sensitive to ambient temperature and have a substantial power requirement, and the relation between sensor- and laboratory-measured nitrate values differed among lakes. The orthophosphate sensors, which were complex and prone to data loss, yielded results that were difficult to interpret because orthophosphate detections are rare in the study lakes. The multichannel fluorometer was also complex to use and required several unique procedures for its operation.
Chlorophyll measurements from the fluorometers correlated moderately well with laboratory-measured chlorophyll-a, although relations with total phytoplankton biovolume were weaker. Relations between phycocyanin concentration measurements from the dual-channel fluorometers and cyanobacterial biovolume were not significant; however, the cyanobacterial biovolume correlation was moderately strong with chlorophyll contribution from cyanobacteria measurements from the multichannel fluorometer. Of all collected parameters, water temperature was among the strongest correlated with chlorophyll-a, total phytoplankton biovolume, and cyanobacterial biovolume.
Stepwise regression analysis was used to identify the best parameters for modeling variance in laboratory measures of phytoplankton biomass. This analysis included factors such as chlorophyll fluorescence, pH, water temperature, and others, which varied by lake. Overall, the models had limited explanatory power for chlorophyll-a and other biovolumes, possibly due to the absence of CyanoHABs at the open-water monitoring locations. Multivariate models did not outperform simple fluorescence-based models. Notably, turbidity was a more significant indicator of cyanobacterial biovolume variability than phycocyanin from dual-channel fluorometers.
The study concludes that while single and multivariate models based on sensor data are useful, they did not explain any more variance than fluorescence-based models. Broader data collection, including more CyanoHAB events, is necessary to refine these models. Integrating machine learning could leverage large, complex datasets to improve CyanoHAB predictions, thereby enhancing the management and understanding of these blooms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245010","usgsCitation":"Johnston, B.D., Finkelstein, K.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., Savoy, P.R., Rosen, J.J., and Jennings, M.B., 2024, Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020: U.S. Geological Survey Scientific Investigations Report 2024–5010, 54 p., https://doi.org/10.3133/sir20245010.","productDescription":"Report: vii, 54 p.; 2 Data Releases","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151193","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":426806,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9T1D","text":"USGS data release","linkHelpText":"Phytoplankton data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes region, New York, 2019–2020 (ver. 2.1, June 2023)"},{"id":426805,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2019 and 2020"},{"id":426804,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5010/images/"},{"id":426803,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.XML"},{"id":426802,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5010 HTML"},{"id":499423,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116207.htm","linkFileType":{"id":5,"text":"html"}},{"id":426800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5010/coverthb.jpg"},{"id":426801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5010 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.18392460037663,\n 43.28424086245511\n ],\n [\n -78.18392460037663,\n 42.10263922827107\n ],\n [\n -76.00088907460236,\n 42.10263922827107\n ],\n [\n -76.00088907460236,\n 43.28424086245511\n ],\n [\n -78.18392460037663,\n 43.28424086245511\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
We investigated wetland vegetation before, during, and after dike construction at the Metzger Marsh project in western Lake Erie, which was designed to restore a 300-ha wetland that had been degraded following the loss of a protective barrier beach. A dike was constructed in 1995 to replace the function of the eroded barrier beach, but it contained a water-control structure to allow managed hydrologic connection to the lake. The control structure contained a fish passageway to allow movement of fish across the dike, while restricting entry of large common carp. Color-infrared aerial photos from project start in 1994 through 2010 (and 2022) were analyzed to track vegetation changes, and major vegetation types were sampled quantitatively. Drawdown of water levels in 1996 after dike construction elicited a response of mudflat species from the seed bank, as well as tree seedlings. Over half of the marsh was vegetated then and in subsequent years. The water-control structure was opened in 1998, and by 2000, invasive Phragmites australis had gained dominance. Most trees were eventually eliminated by herbicide treatment and flooding, and extent of Phragmites was reduced by management actions. Typha spp. and emergents Sagittaria latifolia and Schoenoplectus tabernaemontani became dominant by 2022. This restoration project increased habitat values for fish and wildlife; it also provided lessons for future projects on lands managed by multiple agencies with differing missions. More importantly, it showed that long-term monitoring data are critical for assessing wetland restoration projects and guiding management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102309","usgsCitation":"Wilcox, D., Kowalski, K., and Bozimowski, A.A., 2024, The Metzger marsh restoration: A vegetation-centric look after 27 years: Journal of Great Lakes Research, v. 50, no. 2, 102309, 12 p., https://doi.org/10.1016/j.jglr.2024.102309.","productDescription":"102309, 12 p.","ipdsId":"IP-157465","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":427396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Metzger Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.21526317873082,\n 41.63861198193294\n ],\n [\n -83.24120906559943,\n 41.650434477459726\n ],\n [\n -83.2513342897436,\n 41.64523284668019\n ],\n [\n -83.25101787648906,\n 41.63813903699173\n ],\n [\n -83.23867775956381,\n 41.63766608857978\n ],\n [\n -83.21526317873082,\n 41.63861198193294\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":898064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozimowski, Alexandra A. 0000-0002-0835-1089","orcid":"https://orcid.org/0000-0002-0835-1089","contributorId":328563,"corporation":false,"usgs":true,"family":"Bozimowski","given":"Alexandra","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252527,"text":"70252527 - 2024 - Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014","interactions":[],"lastModifiedDate":"2024-03-27T12:15:17.293816","indexId":"70252527","displayToPublicDate":"2024-03-26T07:13:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014","docAbstract":"In 2014, the Pāhoa lava flow at Kīlauea, on the Island of Hawaiʻi (USA), entered a string of pre-existing meter-width ground cracks in the volcano’s East Rift Zone. The ground cracks transported lava below the surface in a direction discordant to the slope of the landscape. The cracks, which were 100s of meters long and 10s to 100s of meters deep, also widened by up to several meters as they filled, probably in part at the expense of adjacent cracks, which likely closed. Widening of the cracks caused shallow crustal blocks on the volcano’s flank to shift—this deformation was captured by a nearby GPS station and a borehole tiltmeter. The GPS station moved away from the cracks in response, while the tiltmeter showed tilting toward the cracks, consistent with opening. Noting that the lava-filled cracks act as top-fed dikes, we adapt existing theory for the thermo-rheological evolution of dikes to analyze transport of lava captured by ground cracks and propose mechanisms for the exit of the lava back to the surface. This study shows that ground cracks as narrow as 50 cm wide can facilitate the transport of advancing lava flows and can carry lava in directions that differ from those expected based on surface topography, invalidating flow path projections based on the assumption of subaerial flow.
Management efforts to reduce cyanobacterial harmful algal blooms (cHABs) in the Great Lakes have focused on decreasing tributary inputs of phosphorus (P). Recent research has indicated that reduction of both P and nitrogen (N) can lessen cHABs severity. Microbially mediated N cycling in streambed sediment may reduce N riverine loads, yet little is known about in-stream N processing rates in the Maumee River Basin, a major source of nutrients to Lake Erie. During summer of 2019 and 2021, we sampled streambed sediment to measure potential nitrification and denitrification rates using the acetylene block method at 78 sites throughout the Maumee River network. We used structural equation models to identify indirect and direct drivers of denitrification. Precipitation was greater in 2019, resulting in a 67 % increase in mean discharge, 41 % of farm fields to be fallow, and a 50 % reduction in fertilizer use. During summer field surveys, median stream-water nitrate concentrations were not different between 2019 and 2021. Median denitrification rates were 13.3 mg N/m2/h and 31.2 mg N/m2/h, respectively, indicating high potential to remove N. Nitrate concentrations and nitrification rates were strong direct drivers of denitrification, especially in 2019 when coupled nitrification–denitrification sustained denitrification. Nitrate concentrations varied with land use. Notably, nitrate concentrations increased with the area of fallow land, which may indicate the presence of a legacy N source. These findings indicate that promoting streambed denitrification could reduce N loads to Lake Erie, but legacy N currently stored in the system may mask N reduction efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102284","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Breckner, K.J., Williamson, T.N., Hood, J.M., Manning, N., and Johnson, L.T., 2024, Controls on in-stream nitrogen loss in western Lake Erie tributaries: Journal of Great Lakes Research, v. 50, no. 2, 102284, https://doi.org/10.1016/j.jglr.2024.102284.","productDescription":"102284","ipdsId":"IP-155751","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Michigan, Ohio","otherGeospatial":"Maumee River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.1,\n 42\n ],\n [\n -85.1,\n 40.52\n ],\n [\n -83,\n 40.52\n ],\n [\n -83,\n 42\n ],\n [\n -85.1,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breckner, Kenna Jean 0000-0002-8358-7825","orcid":"https://orcid.org/0000-0002-8358-7825","contributorId":301096,"corporation":false,"usgs":true,"family":"Breckner","given":"Kenna","email":"","middleInitial":"Jean","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":897946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manning, Nathan F.","contributorId":211818,"corporation":false,"usgs":false,"family":"Manning","given":"Nathan F.","affiliations":[],"preferred":false,"id":897947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Laura T.","contributorId":301097,"corporation":false,"usgs":false,"family":"Johnson","given":"Laura","email":"","middleInitial":"T.","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":897948,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70252572,"text":"70252572 - 2024 - Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2024-04-23T15:20:27.116817","indexId":"70252572","displayToPublicDate":"2024-03-26T06:46:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","title":"Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","docAbstract":"Aphanizomenon flos-aquae (AFA) is the dominant filamentous cyanobacterium that develops into blooms in Upper Klamath Lake, Oregon each year. During AFA bloom and collapse, ecosystem conditions for endangered Lost River and shortnose suckers deteriorate, thus motivating the need to identify processes that limit AFA abundance and decline. Here we investigate the relations between AFA and other members of the microbial community (photosynthetic and non-photosynthetic bacteria and archaea), how those relations impact abundance and collapse of AFA, and the types of microbial conditions that suppress AFA. We found significant spatial variation in AFA relative abundance during the 2016 bloom period using 16S rRNA sequencing. The Pelican Marina (PM) site had the lowest AFA relative abundance, and this was coincident with increased relative abundance of Candidatus Sericytochromatia, Flavobacterium, and Rheinheimera, some of which are known AFA antagonists. The AFA collapse coincided with phosphorus limitation relative to nitrogen and the increased relative abundance of Cyanobium and Candidatus Sericytochromatia, which outcompete AFA when dissolved inorganic nitrogen is available. The data collected in this study indicate the importance of dissolved inorganic nitrogen combined with microbial community structure in suppressing AFA abundance.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsec/fiae043","usgsCitation":"Underwood, J.C., Hall, N., Mumford, A.C., Harvey, R.W., Bliznik, P.A., and Jeanis, K.M., 2024, Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon: FEMS Microbiology Ecology, v. 100, no. 5, fiae043, 17 p., https://doi.org/10.1093/femsec/fiae043.","productDescription":"fiae043, 17 p.","ipdsId":"IP-158523","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":440040,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsec/fiae043","text":"Publisher Index Page"},{"id":427201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.13875156377131,\n 42.60410392580064\n ],\n [\n -122.13875156377131,\n 42.22167407870424\n ],\n [\n -121.75955528186908,\n 42.22167407870424\n ],\n [\n -121.75955528186908,\n 42.60410392580064\n ],\n [\n -122.13875156377131,\n 42.60410392580064\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"100","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Jennifer C. 0000-0002-2702-0410 jcunder@usgs.gov","orcid":"https://orcid.org/0000-0002-2702-0410","contributorId":294555,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer","email":"jcunder@usgs.gov","middleInitial":"C.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Natalie Celeste 0000-0002-6448-162X","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":245015,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie Celeste","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":897576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":897577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":294558,"corporation":false,"usgs":false,"family":"Harvey","given":"Ronald","email":"","middleInitial":"W.","affiliations":[{"id":63603,"text":"U.S. Geological Survey, Water Mission Area, ESPD","active":true,"usgs":false}],"preferred":false,"id":897578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliznik, Paul Anthony 0000-0001-7461-8645","orcid":"https://orcid.org/0000-0001-7461-8645","contributorId":297187,"corporation":false,"usgs":true,"family":"Bliznik","given":"Paul","email":"","middleInitial":"Anthony","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeanis, Kaitlyn Michelle 0000-0003-0694-6115","orcid":"https://orcid.org/0000-0003-0694-6115","contributorId":330178,"corporation":false,"usgs":true,"family":"Jeanis","given":"Kaitlyn","email":"","middleInitial":"Michelle","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897580,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70252508,"text":"70252508 - 2024 - Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2024-03-27T11:43:31.996794","indexId":"70252508","displayToPublicDate":"2024-03-26T06:40:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","docAbstract":"Terrestrial wildlife species are important yet often overlooked taxa in the recovery of ecosystems following dam removal. Their presence can shape ecosystem recovery, signal restoration of ecosystem function, and influence food web dynamics and nutrient transfer. We used camera traps to examine seasonal use of two former reservoir beds and an upstream reference reach by the mammalian community following the removal of two large dams on the Elwha River, Washington, USA. For certain taxa, we compared current species use to data collected prior to dam removal. Camera traps revealed use by at least fifteen mammal species, including but not limited to American black bear (Ursus americanus), Columbian black-tailed deer (Odocoileus hemionus columbianus), Roosevelt elk (Cervus elaphus roosevelti), puma (Puma concolor), coyotes (Canis latrans), bobcats (Lynx rufus), and snowshoe hares (Lepus americanus). Coyotes were found mostly lower in the watershed outside the Olympic National Park boundary, while other species were distributed throughout the restoration area. We did not see major differences in species composition between the restoration areas and the upstream reference reach, though number of detections across study reaches differed for most species. Unlike previous findings, black bears were observed across all seasons in this study, suggesting a shift in seasonal use since dam removal. Full restoration of the terrestrial wildlife community could take decades to unfold, but early patterns demonstrate rapid establishment and use by wildlife on new riparian surfaces that are expected to continue to evolve with restoration of fish and vegetation communities.
Historical activities on the Bremerton Naval Complex (BNC) in Puget Sound, Washington, have resulted in Sinclair Inlet sediments with elevated concentrations of contaminants, including organic contaminants such as polychlorinated biphenyls and trace elements including mercury. Six U.S. Geological Survey–U.S. Navy datasets have been collected since the last major assessment, in 2013, of soil and groundwater contaminant transport pathways and mercury loading estimates from the BNC to Sinclair Inlet. These include:
The results were incorporated into an updated Conceptual Site Model and used to update contaminant load estimates from the terrestrial BNC to Sinclair Inlet. The results from these studies provide data to the U.S. Navy to support prioritization of on-going remediation actions to manage contamination on the BNC that reduce potential impacts to Sinclair Inlet sediment, surface water, and fish and shellfish tissue.
Mercury isotope analysis of surface sediments and particulate material indicated that a similar industrial mercury profile is present throughout Puget Sound, including terrestrial and marine BNC samples and in other Sinclair Inlet sediments and persists across regions with low and elevated mercury concentrations. Two sources of mercury at the BNC are Sites 1 and 2 subsurface soils/fill material, with total mercury concentrations in particulates collected from the bottom of monitoring wells drilled in these materials ranging from 18,000 to 44,000 nanograms per gram (as compared to the Washington State Marine Sediment Cleanup Screening Level of 590 nanograms per gram).
Contaminants are transported from the terrestrial BNC to Sinclair Inlet via three primary pathways, (1) stormwater outfalls, (2) dry dock discharges, and (3) direct discharge along unwalled shorelines.
Previous loading estimates (based on filtered total mercury) ranked stormwater outfalls, particularly outfall PSNS015 in Site 2 soils, as the largest soil and groundwater contaminant transport pathway from the terrestrial BNC to Sinclair Inlet. Updated loading estimates in this report suggest that the dry dock systems may be a larger pathway of mercury from the terrestrial BNC to Sinclair Inlet than previously thought, within the same order of magnitude as the PSNS015 storm-drain system.
Trace-element loads via direct shoreline discharge are difficult to estimate due to the large and dynamic tidal mixing zone of groundwater and seawater in the nearshore along unwalled shorelines. However, current best estimated ranges suggest that direct shoreline discharge is one of the three main pathways and may contribute smaller mercury loads than the stormwater and the dry dock systems. Along unwalled shorelines, direct groundwater discharge of terrestrial contaminants may be less important than recirculating seawater in the nearshore mixing zone that can extract contaminants from nearshore subsurface material. Total estimated mercury loads from the terrestrial BNC to Sinclair Inlet range from approximately 40 to 200 grams of filtered total mercury per year and a minimum of 70–350 grams of particulate total mercury per year, for a minimum total of 110–525 grams of whole (filtered plus particulate) total mercury per year. Data gaps are identified that, if filled, would further refine the Conceptual Site Model and contaminant loading estimates from the terrestrial BNC to Sinclair Inlet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245011","collaboration":"Prepared in cooperation with U.S. Department of the Navy","usgsCitation":"Conn, K.E., Janssen, S.E., Opatz, C.C., and Bright, V.A.L., 2024, A conceptual site model of contaminant transport pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21 (ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2024–5011, 111 p., https://doi.org/10.3133/sir20245011.","productDescription":"Report: x, 111 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-142440","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499424,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116205.htm","linkFileType":{"id":5,"text":"html"}},{"id":426852,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.XML"},{"id":426851,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5011/images"},{"id":427851,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5011/VersionHistory.txt","description":"Version History"},{"id":426850,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K9P8G2","text":"USGS data release","description":"USGS data release","linkHelpText":"Particulate mercury isotope results, fiber optic thermal survey data, and nearshore surface sediment results at the Bremerton Naval Complex, Washington, USA, 2020-21"},{"id":426849,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FCYGV","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington"},{"id":426848,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245011/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5011"},{"id":426847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.pdf","text":"Report","size":"36.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5011"},{"id":426846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Sinclair Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.75191725882988,\n 47.580405375032115\n ],\n [\n -122.75191725882988,\n 47.50997977336348\n ],\n [\n -122.60639127716968,\n 47.50997977336348\n ],\n [\n -122.60639127716968,\n 47.580405375032115\n ],\n [\n -122.75191725882988,\n 47.580405375032115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
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
934 Broadway, Suite 300
Tacoma, Washington 98402
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":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards 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":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","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}]}} ]}