{"pageNumber":"95","pageRowStart":"2350","pageSize":"25","recordCount":184617,"records":[{"id":70263607,"text":"70263607 - 2025 - Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers","interactions":[],"lastModifiedDate":"2025-02-24T16:59:51.078508","indexId":"70263607","displayToPublicDate":"2025-02-01T09:18:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers","docAbstract":"<p><span>The adaptation of suspended-sediment surrogate technologies continues to rapidly expand across geomorphology and fluvial sediment monitoring efforts. Over a decade of research and development shows increased reliability and accuracy of in-situ surrogates with reduced program cost as compared to traditional sample-based methods, but environmental fouling and probe damage can be problematic. The SedCam technique is a unique non-contact close-range remote sensing method to estimate suspended-sediment concentration from multispectral imagery of a river surface. In contrast to typical airborne- or satellite-based platforms, SedCam uses broadband sensors with lower spectral resolution (three bands covering wavelengths of 340 to 1100 nm) but greater spatial resolution (0.5 mm pixel size; equivalent to medium to coarse sand) and temporal resolution (15-min intervals during daylight hours). This paper summarizes lessons learned from two studies, utilizing three consumer-grade digital cameras (each with different spectral signatures) at two different rivers (each with different sediment characteristics). &gt;90,000 images and 174 concurrent physical samples represent a collective period of 26 months. A subset of these data pairs supports the development of four regression models. Statistical diagnostics show model error can be &lt;40 % when surface point samples are used, with coefficients of determination ≥0.90. This novel approach shows similar accuracy to other surrogate methods such as instream turbidity. Results of this study indicate that optimizing spectra based on expected suspended-sediment concentration increases model performance.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109642","usgsCitation":"Mosbrucker, A.R., and Wood, M.S., 2025, Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers: Geomorphology, v. 476, 109642, 8 p., https://doi.org/10.1016/j.geomorph.2025.109642.","productDescription":"109642, 8 p.","ipdsId":"IP-146303","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2025.109642","text":"Publisher Index Page"},{"id":482155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":927556,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264319,"text":"70264319 - 2025 - Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review","interactions":[],"lastModifiedDate":"2025-03-11T14:14:55.09397","indexId":"70264319","displayToPublicDate":"2025-02-01T09:07:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2025/226","title":"Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review","docAbstract":"<p>Water levels in freshwater reservoirs worldwide are changing due to altered climate, management practices, and increasing human demand for water. In the desert southwestern USA, managers are considering significant changes to reservoir operation strategies and water management in response to consumptive use and ongoing drought. To inform reservoir management decision-making, we reviewed current peer-reviewed literature to identify the effects of decreasing or increasing water level on phytoplankton, cyanobacteria, <i>Escherichia coli</i>, and <i>Naegleria</i> spp. We identified 34 studies containing 42 individual waterbodies that investigated the effects of water level increases or decreases on phytoplankton or cyanobacteria. We found that water level decreases resulted in a higher likelihood of increased cyanobacteria, and that phytoplankton were more likely to decrease in response to water level increases. Most of the waterbodies included in the literature review were eutrophic or hypereutrophic, underscoring the need to explore the effects of water level fluctuations on oligotrophic systems. We only identified five studies on <i>E. coli</i> through our review, and no studies on <i>Naegleria</i> spp. We supplemented our review with regional white papers and case studies within the Colorado River Basin and the Rio Grande River Basin to highlight relevant research. Prior and ongoing research highlights the need to explore impacts of water level fluctuations on phytoplankton and cyanobacteria to guide future management decision-making. </p>","language":"English","publisher":"National Park Service","doi":"10.36967/2307521","usgsCitation":"Hoffman, K., Deemer, B., Lofton, M., Gibney, N., and Carey, C.C., 2025, Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review: Science Report NPS/SR—2025/226, x, 45 p., https://doi.org/10.36967/2307521.","productDescription":"x, 45 p.","ipdsId":"IP-168233","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah, Nevada","otherGeospatial":"Lake Mead, Lake Powell","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.11590394276709,\n              36.47443969347299\n            ],\n            [\n              -114.88244481510833,\n              36.47443969347299\n            ],\n            [\n              -114.88244481510833,\n              35.99494943781363\n            ],\n            [\n              -114.11590394276709,\n              35.99494943781363\n            ],\n            [\n              -114.11590394276709,\n              36.47443969347299\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.59687083652533,\n              37.60781795511896\n            ],\n            [\n              -111.57399303193428,\n              37.60781795511896\n            ],\n            [\n              -111.57399303193428,\n              36.950938288353015\n            ],\n            [\n              -110.59687083652533,\n              36.950938288353015\n            ],\n            [\n              -110.59687083652533,\n              37.60781795511896\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoffman, Kathryn K. 0000-0002-2063-8269","orcid":"https://orcid.org/0000-0002-2063-8269","contributorId":352237,"corporation":false,"usgs":false,"family":"Hoffman","given":"Kathryn K.","affiliations":[{"id":84138,"text":"Virginia Tech, Biological Sciences, Street Address, Blacksburg, VA 24061","active":true,"usgs":false}],"preferred":false,"id":930417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lofton, Mary E.","contributorId":352238,"corporation":false,"usgs":false,"family":"Lofton","given":"Mary E.","affiliations":[{"id":84138,"text":"Virginia Tech, Biological Sciences, Street Address, Blacksburg, VA 24061","active":true,"usgs":false}],"preferred":false,"id":930419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibney, Nicole D.","contributorId":352239,"corporation":false,"usgs":false,"family":"Gibney","given":"Nicole D.","affiliations":[{"id":84139,"text":"National Park Service, Regions 6, 7, and 8- Intermountain, Resource Stewardship and Science, One Denver Federal Center, Building 50, Denver, CO 80225","active":true,"usgs":false}],"preferred":false,"id":930420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":930421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262805,"text":"70262805 - 2025 - Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","interactions":[],"lastModifiedDate":"2025-01-23T16:00:41.372934","indexId":"70262805","displayToPublicDate":"2025-02-01T08:56:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","docAbstract":"<p><span>Globally, floodplain forests are experiencing shifts in species composition associated with drier conditions and disruptions of flood pulse hydrology. The specific processes behind these shifts in composition are not fully understood, but differential effects of drought on regeneration processes such as seed germination may be partially responsible. To determine how reduced water availability impacts seed germination of different floodplain tree species, a lab-controlled germination experiment was conducted. Seeds from tree species common to floodplain forests of the southeastern and southcentral United States whose abundance have been altered by drier hydrogeomorphic conditions were examined. These seeds included desiccation resistant, or orthodox, seeds of sugarberry (</span><i>Celtis laevigata</i><span>) and green ash (</span><i>Fraxinus pennsylvanica</i><span>), and desiccation sensitive, or recalcitrant, acorns of overcup oak (</span><i>Quercus lyrata</i><span>), water oak (</span><i>Quercus nigra</i><span>), and willow oak (</span><i>Quercus phellos</i><span>). Seeds of each species were incubated with one of eight osmotically adjusted water solutions ranging in water potential from 0.0 MPa to −1.4 MPa. This reduction in water potential decreases the water available to the seeds for germination. After four weeks, seed germination of all species decreased with reduced water potential; however, desiccation tolerance did not correspond with the ability to germinate under lower water potential. Orthodox seeds only germinated in higher water potential treatments. Sugarberry reached 30 % germination in only the control 0.0 MPa treatment while green ash reached 30 % germination in treatments as low as −0.4 MPa. In contrast, recalcitrant acorns continued to germinate under lower water potentials. Water oak maintained 30 % or greater germination under all treatments and willow oak reached 30 % down to −0.8 MPa. Overcup oak was the only species to not respond to water potential treatment. With respect to maximum germination, sugarberry and green ash reached maximum germination an average of 9 days sooner than the oak species. The results of this study agree with others that demonstrate that seed germination success is sensitive to environmental water conditions and that species specific differences in germination traits are linked to broader life history strategies that are adaptive to common environmental conditions in their range.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.122410","usgsCitation":"Pell, C., King, S.L., Hawkins, T.S., and Symmank, M., 2025, Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species: Forest Ecology and Management, v. 577, 122410, 7 p., https://doi.org/10.1016/j.foreco.2024.122410.","productDescription":"122410, 7 p.","ipdsId":"IP-162807","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":480998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"577","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pell, Charles J.","contributorId":349796,"corporation":false,"usgs":false,"family":"Pell","given":"Charles J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":924825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Tracy S.","contributorId":341655,"corporation":false,"usgs":false,"family":"Hawkins","given":"Tracy","email":"","middleInitial":"S.","affiliations":[{"id":81773,"text":"Research Ecologist","active":true,"usgs":false}],"preferred":false,"id":924827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Symmank, Matt","contributorId":349797,"corporation":false,"usgs":false,"family":"Symmank","given":"Matt","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":924828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273857,"text":"70273857 - 2025 - Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management","interactions":[],"lastModifiedDate":"2026-02-10T14:32:53.901679","indexId":"70273857","displayToPublicDate":"2025-02-01T08:52:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management","docAbstract":"<p>Prior work completed by Kiskaddon et al. (2021, 2022b, 2022a) identified critical data gaps for Lower Trophic Level (LTL) organisms in Barataria Basin, Louisiana. A Monitoring and Adaptive Management (MAM) Activity Implementation Plan (MAIP) was subsequently developed to describe a MAM Activity that would address and fill these critical data gaps (hereafter termed the “LTL project”). As the lead implementing Trustee of the LTL project, the National Oceanic and Atmospheric Administration (NOAA), in collaboration with the Louisiana Trustee Implementation Group (LA TIG), is charged with implementing the LTL project (NOAA, 2022). The Water Institute (the Institute), in cooperation with federal, state, and private entities including NOAA, the U.S. Geological Survey (USGS), Louisiana State University (LSU), University of Louisiana at Lafayette (UL Lafayette), University of California (UC) Santa Cruz, and Dynamic Solutions, LLC developed this implementation plan to further detail LTL data collection in Barataria Basin that will fulfill the MAIP. This monitoring implementation plan describes procedures and protocols critical for data collection and project management.&nbsp;</p>","language":"English","publisher":"The Water Institute","usgsCitation":"Kiskaddon, E.P., Bargu, S., Baustian, M.M., Carle, M., Cowan, J., Doerr, J., Glaspie, C.N., Jensen, B., Liu, B., Marshall, E., Polito, M.J., Reeves, D.B., Sable, S., Sutor, M., and Zink, I., 2025, Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management, 164 p.","productDescription":"164 p.","ipdsId":"IP-173453","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499674,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499669,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gulfspillrestoration.noaa.gov/project?id=269"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.55662998292674,\n              29.90178645849379\n            ],\n            [\n              -90.84612293100606,\n              29.90178645849379\n            ],\n            [\n              -90.84612293100606,\n              29.09691846197964\n            ],\n            [\n              -89.55662998292674,\n              29.09691846197964\n            ],\n            [\n              -89.55662998292674,\n              29.90178645849379\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kiskaddon, Erin P.","contributorId":272886,"corporation":false,"usgs":false,"family":"Kiskaddon","given":"Erin","email":"","middleInitial":"P.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":955282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bargu, Sibel","contributorId":364945,"corporation":false,"usgs":false,"family":"Bargu","given":"Sibel","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":955283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":955284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carle, Melissa","contributorId":223835,"corporation":false,"usgs":false,"family":"Carle","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":955285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cowan, Jean","contributorId":366109,"corporation":false,"usgs":false,"family":"Cowan","given":"Jean","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":955286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doerr, Jennifer","contributorId":366110,"corporation":false,"usgs":false,"family":"Doerr","given":"Jennifer","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":955287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glaspie, Cassandra N.","contributorId":366111,"corporation":false,"usgs":false,"family":"Glaspie","given":"Cassandra","middleInitial":"N.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":955288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Brittany","contributorId":366112,"corporation":false,"usgs":false,"family":"Jensen","given":"Brittany","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":955289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":955290,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marshall, Emelia","contributorId":366113,"corporation":false,"usgs":false,"family":"Marshall","given":"Emelia","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":955291,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Polito, Michael J.","contributorId":366114,"corporation":false,"usgs":false,"family":"Polito","given":"Michael","middleInitial":"J.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":955292,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reeves, David B.","contributorId":181809,"corporation":false,"usgs":false,"family":"Reeves","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":955293,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":955294,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sutor, Malinda","contributorId":276134,"corporation":false,"usgs":false,"family":"Sutor","given":"Malinda","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":955295,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zink, Ian","contributorId":289796,"corporation":false,"usgs":false,"family":"Zink","given":"Ian","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":955296,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70265576,"text":"70265576 - 2025 - Update of the 2008 provisional Enhanced Geothermal Systems (EGS) assessment for the Great Basin, USA","interactions":[],"lastModifiedDate":"2025-04-14T13:51:55.494273","indexId":"70265576","displayToPublicDate":"2025-02-01T08:50:14","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Update of the 2008 provisional Enhanced Geothermal Systems (EGS) assessment for the Great Basin, USA","docAbstract":"<p><span>In response to the Energy Act of 2020, the U.S. Geological Survey (USGS) is updating the Enhanced Geothermal Systems (EGS) resource assessment for the Great Basin, USA. The previous 2008 provisional assessment estimated how much electricity could be generated from EGS resources of the western United States using models of electric-grade heat, models of heat extraction over time, and estimates of how much rock might be stimulated to produce viable amounts of heat. Herein, a similar conceptual strategy is applied, using updated models of heat extraction as a function of fracture spacing and well distance. Previously used reservoir heat delivery models are updated to have a dependence on fracture and well spacing, potentially improving future estimates of EGS resources as ongoing research provides a better understanding about the success of reservoir stimulation as a function of geology and location. For a range of well distances (250-1000 m) and fracture spacings (1-50 m), heat extraction efficiency ranges from 25-62%, demonstrating the importance of accounting for the most likely results of proven viable fracturing technologies. Although fracturing is important, the biggest uncertainty by far in estimating the EGS resource for the Great Basin is estimating which geologic units at what depths can be stimulated sufficiently to produce geothermal energy economically and efficiently. Uncertainties in these factors yield estimates that range over two orders of magnitude with an upper limit of ~174 terawatts-thermal (TWth) produced for 30 years from the upper 7 km of the crust. This upper limit would require significant technological advances to access most of the electric-grade resource across the Great Basin. Assuming that 1% of this estimate will be accessible in the next few decades gives a resource estimate similar to that made in the 2008 provisional assessment. These estimated EGS heat extraction rates far exceed ( greater than 100x) the natural geothermal heat production rate, thus geothermal electricity production at these rates might not be sustainable unless heat is also recharged from other sources (e.g., excess solar energy when supply exceeds demand). In addition to assessment maps and cumulative estimates, the new models of fractured reservoirs developed herein can be used to estimate steady power production given a set of fractures and well spacing, and estimates can be made for setback distances to ensure no thermal interference with nearby powerplants.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings 50th Stanford Geothermal Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Stanford University","usgsCitation":"Burns, E., Zhang, J., Zhan, H., and Williams, C.F., 2025, Update of the 2008 provisional Enhanced Geothermal Systems (EGS) assessment for the Great Basin, USA, <i>in</i> Proceedings 50th Stanford Geothermal Workshop, v. 50, 16 p.","productDescription":"16 p.","ipdsId":"IP-171271","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":484439,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=37983","linkFileType":{"id":5,"text":"html"}},{"id":484490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Idaho, Nevada, Oregon, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.5604124531929,\n              34.31489047686145\n            ],\n            [\n              -113.98504991431244,\n              35.590033331367565\n            ],\n            [\n              -111.56578416852676,\n              37.28632608593861\n            ],\n            [\n              -110.9892619278067,\n              41.67884360099643\n            ],\n            [\n              -111.97575138287687,\n              43.957662400395805\n            ],\n            [\n              -113.578133783738,\n              43.132778243859036\n            ],\n            [\n              -120.24368172899253,\n              43.85862565467747\n            ],\n            [\n              -122.52741271491658,\n              43.93510559055008\n            ],\n            [\n              -122.60852684393157,\n              40.29249889409965\n            ],\n            [\n              -119.78500758001587,\n              37.03990264299661\n            ],\n            [\n              -116.5604124531929,\n              34.31489047686145\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":933047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Junyuan 0009-0007-0763-4742","orcid":"https://orcid.org/0009-0007-0763-4742","contributorId":346117,"corporation":false,"usgs":false,"family":"Zhang","given":"Junyuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":933048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhan, Hongbin 0000-0003-2060-4904","orcid":"https://orcid.org/0000-0003-2060-4904","contributorId":192156,"corporation":false,"usgs":false,"family":"Zhan","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":933049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":933050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267865,"text":"70267865 - 2025 - Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","interactions":[],"lastModifiedDate":"2025-06-06T13:30:52.332192","indexId":"70267865","displayToPublicDate":"2025-02-01T08:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","docAbstract":"<p><span>Walleye (</span><i>Sander vitreus</i><span>) are a sexually dimorphic species in which females are larger than males in adulthood. Walleye can also exhibit sex- and population-based differences in migration behavior. In Lake Erie, we used acoustic telemetry to test the prediction that female walleye exhibit larger broad-scale movements than males during the summer and autumn. This prediction was based on the hypothesis that greater foraging in females would be needed to satisfy their higher energy requirements. We quantified movements of males and females from distinct spawning populations from Lake Erie's west and east basins using a lake-wide grid of acoustic receivers in 2017 and 2018. We found no differences between male and female home range sizes, core range sizes, or distances travelled in either population. Fish length-at-tagging was unrelated to the size of a fish's home range or to its distance travelled, contrary to previous predictions about body size as a driver of migration distance in the Lake Erie population. We found that west basin walleye occupied large and indiscrete portions of the lake, but the core range of females extended into the central basin, whereas males were concentrated in the west basin. Walleye originating from the east basin confined their movements primarily to the east basin and showed stronger home range overlap among members of their population than did walleye from the west basin population. Within either population, walleye had more home range overlap with members of the same sex, which likely reflects differences in the migratory tendencies of males and females.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15960","usgsCitation":"Bihun, C., Faust, M., Kraus, R., MacDougall, T., Robinson, J., Vandergoot, C., and Raby, G., 2025, Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?: Journal of Fish Biology, v. 106, no. 2, p. 430-441, https://doi.org/10.1111/jfb.15960.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-165223","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490640,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jfb.15960","text":"External Repository"},{"id":489690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.3340237734879,\n              42.2003107892165\n            ],\n            [\n              -83.76123811265276,\n              41.36759241460828\n            ],\n            [\n              -81.80316880718208,\n              41.3146825621337\n            ],\n            [\n              -78.64522615109004,\n              42.56891605267103\n            ],\n            [\n              -78.69689358833503,\n              42.91401349265345\n            ],\n            [\n              -79.6373646641363,\n              43.07393720267635\n            ],\n            [\n              -81.57717526647028,\n              42.625802175312444\n            ],\n            [\n              -83.3340237734879,\n              42.2003107892165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bihun, Christian J.","contributorId":356358,"corporation":false,"usgs":false,"family":"Bihun","given":"Christian J.","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":939170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":939172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Thomas","contributorId":354792,"corporation":false,"usgs":false,"family":"MacDougall","given":"Thomas","affiliations":[{"id":84663,"text":"Ontario Ministry of Nat. Res. and Forestry","active":true,"usgs":false}],"preferred":false,"id":939173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":939174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":939175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raby, Graham D.","contributorId":189592,"corporation":false,"usgs":false,"family":"Raby","given":"Graham D.","affiliations":[],"preferred":false,"id":939176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267764,"text":"70267764 - 2025 - Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales","interactions":[],"lastModifiedDate":"2025-05-30T15:16:42.455962","indexId":"70267764","displayToPublicDate":"2025-02-01T08:10:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales","docAbstract":"<p><span>The behavior and abundance of sympatric predators can be affected by a complex dominance hierarchy. The strength of antagonistic interactions in predator communities is difficult to study and remains poorly understood for many predator assemblages. Predators directly and indirectly influence the broader ecosystem, so identifying the relative importance of competition, prey, and habitat in shaping predator interactions has broad conservation and management implications. We investigated space use among five predator species (black bear [</span><i>Ursus americanus</i><span>], bobcat [</span><i>Lynx rufus</i><span>], coyote [</span><i>Canis latrans</i><span>], mountain lion [</span><i>Puma concolor</i><span>], and gray wolf [</span><i>Canis lupus</i><span>]) across three temporal scales in northern Idaho, USA. We used camera trap data to test whether potentially subordinate predators spatially avoided dominant predators and how prey availability influenced those relationships. We found few instances of subordinate predators spatially avoiding dominant predators and only at the finest temporal scale of our analyses. Instead, habitat features generally influenced predator space use patterns at coarser scales whereas prey and competitor presence influenced space use patterns at finer scales. Co-occurrence was positively associated between coyotes and bobcats at coarser timescales and between mesopredators and apex predators at finer timescales. Bobcats and mountain lions temporarily delayed the use of sites recently visited by coyotes and black bears, respectively. And all predator species used sites sooner following the detection of a competitor in areas with higher relative abundances of prey (primarily white-tailed deer [</span><i>Odocoileus virginianus</i><span>]). Our results suggest attraction to shared habitats and prey resources influenced space use in the predator community more than avoidance of competitors. We propose that the effects of interspecific interactions on predator distributions were most evident for mesopredators because their trophic position requires balancing risks and rewards associated with prey, apex predators, and other mesopredators. In addition, relatively high densities of a common prey source likely facilitated the spatial coexistence in this predator community. Our study demonstrates the value of simultaneously assessing multiple interspecific interactions across different spatiotemporal scales to discern relationships within the predator guild.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1648","collaboration":"Idaho Department of Fish and Game","usgsCitation":"Bassing, S., Ausband, D.E., Mumma, M., Thompson, S., Hurley, M., and Falcy, M.R., 2025, Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales: Ecological Monographs, v. 95, no. 1, e1648, 25 p., https://doi.org/10.1002/ecm.1648.","productDescription":"e1648, 25 p.","ipdsId":"IP-157343","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1648","text":"Publisher Index 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,{"id":70270867,"text":"70270867 - 2025 - Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data","interactions":[],"lastModifiedDate":"2025-08-26T15:15:01.880335","indexId":"70270867","displayToPublicDate":"2025-02-01T08:07:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data","docAbstract":"<p><span>Advances in remote sensing and machine learning are enhancing cropland classification, vital for global food and water security. We used multispectral Harmonized Landsat 8 Sentinel-2 (HLS) 30-m data in an artificial neural network (ANN) multi-layer perceptron (MLP) model to classify five crop classes (cotton, alfalfa, tree crops, grapes, and others) in California's Central Valley. The ANN MLP model, trained on 2021 data from the United States Department of Agriculture's Cropland Data Layer, was validated by classifying crops for an independent year, 2022. Across the five crop classes, the overall accuracy was 74%. Producer's and user's accuracies ranged from 65% to 87%, with cotton achieving the highest accuracies. The study highlights the potential of using deep learning with HLS time series data for accurate global crop classification.</span></p>","language":"English","publisher":"Ingenta Connect","doi":"10.14358/PERS.24-00072R3","usgsCitation":"McCormick, R.L., Thenkabail, P., Aneece, I., Teluguntla, P., Oliphant, A., and Foley, D., 2025, Artificial neural network multilayer perceptron models to classify California’s crops using Harmonized Landsat Sentinel (HLS) data: Photogrammetric Engineering and Remote Sensing, v. 91, no. 2, p. 91-100, https://doi.org/10.14358/PERS.24-00072R3.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-165508","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":495060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.24-00072r3","text":"Publisher Index Page"},{"id":494898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fresno","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.72184856336573,\n              37.15510709833474\n            ],\n            [\n              -119.70395156455555,\n              36.73462649015923\n            ],\n            [\n              -118.95495213764198,\n              36.73462649015923\n            ],\n            [\n              -118.99091736443204,\n              37.169191590622404\n            ],\n            [\n              -119.72184856336573,\n              37.15510709833474\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCormick, Richard L. 0009-0002-8208-2136","orcid":"https://orcid.org/0009-0002-8208-2136","contributorId":346504,"corporation":false,"usgs":true,"family":"McCormick","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aneece, Itiya 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":211471,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947254,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267785,"text":"70267785 - 2025 - Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.","interactions":[],"lastModifiedDate":"2025-06-02T14:59:49.70948","indexId":"70267785","displayToPublicDate":"2025-02-01T07:50:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.","docAbstract":"<p><span>Partnerships between Tribes and researchers in wildlife monitoring and application of Traditional Ecological Knowledge (TEK) have taken a variety of forms, and some scholars have noted a need for culturally sensitive approaches. Guided by Indigenous Research Methodologies, this research is coupled with Yurok TEK, or <i>hlkelonah 'ue-megetohl</i> ('to take care of the earth'), enabling an applied, culturally sensitive approach in partnership with the Yurok Tribe. We present results from a molecular scatology study of wildlife within the ancestral territory of the Yurok Tribe. Scats were collected opportunistically on road transects. All samples (<i>N</i> = 132) were analysed via DNA barcoding and results matched to documented 'Oohl 'we-toh (Yurok language) names to determine the depositor species (<i>N</i> = 8). Though there were four focal mesocarnivore species in our study, only bobcat (<i>Chmuuek; Lynx rufus</i>) and gray fox (<i>Wergers; Urocyon cinereoargenteus</i>) were detected as depositor species. Post hoc analyses were conducted to explore distribution, habitat use and selection in a use-availability context, and food habits of these two species. We found almost complete separation of bobcat and gray fox use of transects, as well as indication of partitioning of vegetation cover types and food. We demonstrate an integrated framework of Western and Indigenous sciences that allows the Indigenous researcher to transcend structured academic disciplinary boundaries. Our approach can be modified for partnerships between Tribes, agencies, academics and students for wildlife monitoring in broader geographic regions in various research applications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13963","usgsCitation":"Ramos, S., and Culver, M., 2025, Integration of Indigenous Research Methodologies, Traditional Ecological Knowledge and molecular scatology in an assessment of mesocarnivore presence, diet and habitat use on Yurok Ancestral Lands.: Molecular Ecology Resources, v. 25, no. 2, e13963, 16 p., https://doi.org/10.1111/1755-0998.13963.","productDescription":"e13963, 16 p.","ipdsId":"IP-144218","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.13963","text":"Publisher Index Page"},{"id":489378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northwestern California, Yurok tribal lands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.18637554494717,\n              41.06129121851316\n            ],\n            [\n              -123.18637554494717,\n              40.33744763965922\n            ],\n            [\n              -122.12359837800824,\n              40.33744763965922\n            ],\n            [\n              -122.12359837800824,\n              41.06129121851316\n            ],\n            [\n              -123.18637554494717,\n              41.06129121851316\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos, Seafha C.","contributorId":356207,"corporation":false,"usgs":false,"family":"Ramos","given":"Seafha C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":938875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938876,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268344,"text":"70268344 - 2025 - Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland","interactions":[],"lastModifiedDate":"2025-06-23T14:55:27.016343","indexId":"70268344","displayToPublicDate":"2025-02-01T07:50:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3090,"text":"Plant, Cell & Environment","onlineIssn":"1365-3040","active":true,"publicationSubtype":{"id":10}},"title":"Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland","docAbstract":"In the semi-arid grasslands of the southwest United States, annual precipitation is divided between warm-season (July–September) convective precipitation and cool-season (December–March) frontal storms. While evidence suggests shifts in precipitation seasonal distribution, there is a poor understanding of the ecosystem carbon flux responses to cool-season precipitation and the potential legacy effects on subsequent warm-season carbon fluxes. Results from a two-year experiment with three cool-season precipitation treatments (dry, received 5th percentile cool-season total precipitation; normal, 50th; wet, 95th) and constant warm-season precipitation illustrate the direct and legacy effects on carbon fluxes, but in opposing ways. In wet cool-season plots, gross primary productivity (GPP) and ecosystem respiration (ER) were 103% and 127% higher than in normal cool-season plots. In dry cool-season plots, GPP and ER were 47% and 85% lower compared to normal cool-season plots. Unexpectedly, we found a positive legacy effect of the dry cool-season treatment on warm-season carbon flux, resulting in a significant increase in both GPP and ER in the subsequent warm season, compared to normal cool-season plots. Our results reveal positive legacy effects of cool-season drought on warm-season carbon fluxes and highlight the importance of the relatively under-studied cool-growing season and its direct/indirect impact on the ecosystem carbon budget.","language":"English","publisher":"Wiley","doi":"10.1111/pce.15175","usgsCitation":"Zhang, F., Biederman, J.A., Pierce, N., Potts, D.L., Reed, S., and Smith, W.K., 2025, Direct and legacy effects of varying cool-season precipitation totals on ecosystem carbon flux in a semi-arid mixed grassland: Plant, Cell & Environment, v. 48, no. 2, p. 943-952, https://doi.org/10.1111/pce.15175.","productDescription":"10 p.","startPage":"943","endPage":"952","ipdsId":"IP-169161","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/pce.15175","text":"Publisher Index 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]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721","active":true,"usgs":false}],"preferred":false,"id":940887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":940888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Nathan A.","contributorId":357247,"corporation":false,"usgs":false,"family":"Pierce","given":"Nathan A.","affiliations":[{"id":85363,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719","active":true,"usgs":false}],"preferred":false,"id":940889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potts, Daniel L.","contributorId":335696,"corporation":false,"usgs":false,"family":"Potts","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":80473,"text":"Biology Department, SUNY Buffalo State, Buffalo, NY, USA","active":true,"usgs":false}],"preferred":false,"id":940890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":940892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263193,"text":"pp1842BB - 2025 - The effects of management practices on grassland birds—Field Sparrow (<em>Spizella pusilla</em>)","interactions":[{"subject":{"id":70263193,"text":"pp1842BB - 2025 - The effects of management practices on grassland birds—Field Sparrow (<em>Spizella pusilla</em>)","indexId":"pp1842BB","publicationYear":"2025","noYear":false,"chapter":"BB","displayTitle":"The Effects of Management Practices on Grassland Birds—Field Sparrow (<em>Spizella pusilla</em>)","title":"The effects of management practices on grassland birds—Field Sparrow (<em>Spizella pusilla</em>)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2025-02-03T14:51:35.210208","indexId":"pp1842BB","displayToPublicDate":"2025-01-31T14:16:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"BB","displayTitle":"The Effects of Management Practices on Grassland Birds—Field Sparrow (<em>Spizella pusilla</em>)","title":"The effects of management practices on grassland birds—Field Sparrow (<em>Spizella pusilla</em>)","docAbstract":"<p><span>Keys to Field Sparrow (</span><i>Spizella pusilla</i><span>) management include providing shrub-dominated edge habitat adjacent to grasslands or grasslands with a shrub component (both of which must include dense grass and moderately high litter cover) and avoiding disturbances that eliminate woody vegetation. Field Sparrows have been reported to use habitats with 16–134 centimeters (cm) vegetation height, 20–145 cm visual obstruction reading, 17–90 percent grass cover, 2–45 percent forb cover, less than 63 percent shrub cover, 3–7 percent bare ground, 14–30 percent litter cover, and 1–7 cm litter depth.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842BB","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Parkin, B.D., and Euliss, B.R., 2025, The effects of management practices on grassland birds—Field Sparrow (<em>Spizella pusilla</em>), chap. BB <em>of</em> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 35 p., https://doi.org/10.3133/pp1842BB.","productDescription":"vii, 35 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096451","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":481568,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/bb/coverthb.jpg"},{"id":481569,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/bb/pp1842bb.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–BB"}],"contact":"<p>Director, <a href=\"https://www.npwrc.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.npwrc.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, North Dakota 58401</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":221769,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":925879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":223586,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":925880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":221269,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":925881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":925882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":925883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parkin, Barry D.","contributorId":216020,"corporation":false,"usgs":false,"family":"Parkin","given":"Barry","email":"","middleInitial":"D.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":925884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":925885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263174,"text":"ofr20241074 - 2025 - Reproductive parameters in invasive blue catfish (<i>Ictalurus furcatus</i>) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","interactions":[],"lastModifiedDate":"2025-02-06T19:55:23.808466","indexId":"ofr20241074","displayToPublicDate":"2025-01-31T11:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1074","displayTitle":"Reproductive Parameters in Invasive Blue Catfish (<i>Ictalurus furcatus</i>) From Tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","title":"Reproductive parameters in invasive blue catfish (<i>Ictalurus furcatus</i>) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22","docAbstract":"<p>Over the past few decades, <i>Ictalurus furcatus</i> (Valenciennes in Cuvier and Valenciennes, 1840; blue catfish) have become a formidable invasive species in tidal tributaries of the Chesapeake Bay in Maryland and Delaware. Knowledge of their reproductive behaviors can support managers in the determination of ideal timing and implementation of mitigation strategies. In 2020–22, the U.S. Geological Survey sampled blue catfish from the Chesapeake Bay’s tidal reaches of the Nanticoke River, Broad Creek, Marshyhope Creek, and Patuxent River in Maryland and Delaware from March to October. All fish were analyzed with histology to assess reproductive stages (immature, pre-spawn [early and late], and post-spawn). Plasma was collected for multiple endpoints including 17β-estradiol (E2), calcium, and total protein. Results indicated that female spawning generally occurred from late April through June, as evidenced by the histological data showing that the number of vitellogenic oocytes in late pre-spawn females began to increase in April, peaked in May, and gradually declined through July. In males, the greatest number of late pre-spawn individuals was observed in April and gradually declined through June. Additionally, female E2 levels were highest in late, pre-spawn females, thus showing a similar trend as the histological results, indicating that this endpoint can be used for assessing reproductive changes over time. Collectively, this study documents typical spawning patterns in blue catfish within the Chesapeake Bay watershed. However, further research across different watersheds would enhance data availability and inform more comprehensive management strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241074","usgsCitation":"Walsh, H.L., Densmore, C.L., Regish, A.M., Norstog, J., Moore, J., Williams, B., Bressman, N., and Crum, Z., 2025, Reproductive parameters in invasive blue catfish (<i>Ictalurus furcatus</i>) from tributaries of the Chesapeake Bay in Maryland and Delaware, 2020–22: U.S. Geological Survey Open-File Report 2024–1074, 17 p., https://doi.org/10.3133/ofr20241074.","productDescription":"Report: vi, 17 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171688","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481526,"rank":4,"type":{"id":34,"text":"Image 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XML"},"url":"https://pubs.usgs.gov/of/2024/1074/ofr20241074.xml"}],"country":"United States","state":"Delaware, Maryland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.56331116045253,\n              38.61088599742371\n            ],\n            [\n              -75.82395278530792,\n              38.61088599742371\n            ],\n            [\n              -75.82395278530792,\n              38.38925412638224\n            ],\n            [\n              -75.56331116045253,\n              38.38925412638224\n            ],\n            [\n              -75.56331116045253,\n              38.61088599742371\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" 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,{"id":70263173,"text":"sir20245108 - 2025 - 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","interactions":[],"lastModifiedDate":"2025-07-21T18:03:22.332207","indexId":"sir20245108","displayToPublicDate":"2025-01-31T10:17:03","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5108","displayTitle":"2022 Volcanic Activity in Alaska and the Northern Mariana Islands—Summary of Events and Response of the Alaska Volcano Observatory","title":"2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory","docAbstract":"<p>In 2022, the Alaska Volcano Observatory responded to eruptions, volcanic unrest or suspected unrest, increased seismicity, and other significant activity at 11 volcanic centers in Alaska and in the Northern Mariana Islands. Eruptive activity in Alaska consisted of repeated small, ash-producing, phreatomagmatic explosions from Mount Young on Semisopochnoi Island; the eruption of a thick lava flow within the summit crater at Great Sitkin Volcano; and weak explosive activity and the eruption of small, channelized flows at Pavlof Volcano. Uplift and an increase in seismicity were detected at Mount Edgecumbe, a long-dormant volcano in southeastern Alaska. Anomalous seismicity was also detected at three other volcanoes, including Trident Volcano, Takawangha volcano, and Davidof volcano. Other activity documented in 2022 includes ash resuspension events at Mount Katmai and Aniakchak Crater, and Mount Cleveland had a period of unrest, but no eruptive activity took place. In the Commonwealth of the Northern Marianas Islands, hydroacoustic detections and a submarine plume observed in satellite data at Ahyi seamount indicated underwater eruptive activity there.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245108","collaboration":"The Alaska Volcano Observatory is a consortium between the U.S. Geological Survey, the University of Alaska Fairbanks Geophysical Institute, and the Alaska Division of Geological & Geophysical Surveys","usgsCitation":"Orr, T.R., Dietterich, H.R., Grapenthin, R., Haney, M.M., Loewen, M.W., Saunders-Shultz, P., Tan, D., Waythomas, C.F., and Wech, A.G., 2025, 2022 Volcanic activity in Alaska and the Northern Mariana Islands—Summary of events and response of the Alaska Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2024-5108, 46 p., https://doi.org/10.3133/sir20245108.","productDescription":"ix, 46 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-152943","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492678,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118410.htm","text":"Mt. Edgecumbe","linkFileType":{"id":5,"text":"html"}},{"id":481523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5108/covrthb.jpg"},{"id":481524,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5108/sir20245108.pdf","text":"Document","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":492676,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118408.htm","text":"Mt. Katmai, Trident Volcano, Aniak Crater, Pavlof Volcano, Mt. Cleveland, Takawangha Volcano, Great Sitkin Volcano, Semisopochnoi Island, Davidof Volcano","linkFileType":{"id":5,"text":"html"}},{"id":492677,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118409.htm","text":"Northern Mariana Islands and Ahyi Seamount","linkFileType":{"id":5,"text":"html"}}],"country":"Commonwealth of the Northern Marianas Islands, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -135.53816786826286,\n              57.38098900209502\n            ],\n            [\n              -136.05611606682763,\n              57.38098900209502\n            ],\n            [\n              -136.05611606682763,\n              56.83684431579326\n            ],\n            [\n              -135.53816786826286,\n      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href=\"https://avo.alaska.edu/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://avo.alaska.edu/\">Alaska Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Volcanic Activity in Alaska</li><li>Volcanic Activity in the Commonwealth of the Northern Mariana Islands</li><li>References Cited</li><li>Glossary of Selected Terms and Acronyms</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grapenthin, Ronni","contributorId":257035,"corporation":false,"usgs":false,"family":"Grapenthin","given":"Ronni","email":"","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":925766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":925768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saunders-Shultz, Pablo","contributorId":336581,"corporation":false,"usgs":false,"family":"Saunders-Shultz","given":"Pablo","email":"","affiliations":[{"id":80792,"text":"University of Alaska Fairbanks Geophysical Institute","active":true,"usgs":false}],"preferred":false,"id":925770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tan, Darren 0000-0001-8210-6041","orcid":"https://orcid.org/0000-0001-8210-6041","contributorId":304978,"corporation":false,"usgs":false,"family":"Tan","given":"Darren","email":"","affiliations":[{"id":66199,"text":"Geophysical Institute and Alaska Volcano Observatory, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":925771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925781,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264783,"text":"70264783 - 2025 - Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","interactions":[],"lastModifiedDate":"2025-03-24T15:07:53.520626","indexId":"70264783","displayToPublicDate":"2025-01-31T10:04:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exosomal micro RNA isolation in white-tailed deer (<i>Odocoileus virginianus</i>) for diagnostic biomarker discovery","title":"Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","docAbstract":"<p><span>Molecular approaches are becoming more prevalent for the diagnosis of neurodegenerative diseases in human medicine and can be extended to diagnosis of wildlife diseases such as chronic wasting disease and other prion diseases. These diseases have been associated with exosome-bound molecular biomarkers of disease progression, such as proteins and micro RNA molecules (miRNA). We tested and optimized a method for exosomal miRNA isolation from minimally invasive, small-volume serum samples obtained from white-tailed deer (</span><i>Odocoileus virginianus</i><span>). We confirmed the isolation of exosomes and optimized a commercially available benchtop kit to obtain sufficient and pure RNA for miRNA sequencing. The selected method for RNA extraction combines two 500-</span><i>m</i><span>L serum aliquots into one elution column and re-eluting the final product of the column. We identified 137 miRNA present in healthy white-tailed deer that can be used as a baseline to identify putative miRNA biomarkers of disease progression and mechanisms of infection in future comparative disease studies. This approach to biomarker discovery may help to inform biological processes in wildlife populations and provide alternatives to invasive or postmortem samples.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00075","usgsCitation":"De Maria, M., Maxwell, L., Hunter, M., and Ferrante, J., 2025, Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery: Journal of Wildlife Diseases, v. 61, no. 1, p. 212-218, https://doi.org/10.7589/JWD-D-24-00075.","productDescription":"7 p.","startPage":"212","endPage":"218","ipdsId":"IP-164755","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"De Maria, Maite 0000-0002-5251-4869","orcid":"https://orcid.org/0000-0002-5251-4869","contributorId":346886,"corporation":false,"usgs":false,"family":"De Maria","given":"Maite","email":"","affiliations":[{"id":64427,"text":"Cherokee Nation System Solutions","active":true,"usgs":false}],"preferred":false,"id":931665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Lillian G. 0009-0007-7876-0797","orcid":"https://orcid.org/0009-0007-7876-0797","contributorId":352561,"corporation":false,"usgs":false,"family":"Maxwell","given":"Lillian G.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":931666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214742,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":331541,"corporation":false,"usgs":false,"family":"Ferrante","given":"Jason","affiliations":[{"id":79241,"text":"former USGS WARC employee","active":true,"usgs":false}],"preferred":false,"id":931668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263370,"text":"70263370 - 2025 - National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout","interactions":[],"lastModifiedDate":"2025-02-12T16:06:31.943174","indexId":"70263370","displayToPublicDate":"2025-01-31T10:03:19","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout","docAbstract":"<p>Restoring healthy, resilient, biodiverse ecosystems is crucial for our Nation’s future. Native plant communities provide essential environmental benefits, such as buffering against extreme weather, improving air, soil, and water quality, and habitat for wildlife. However, the limited availability of locally adapted native plants hampers effective ecological restoration. To address this need, the Plant Conservation Alliance released the National Seed Strategy in 2015 to foster coordination to increase the supply of native seeds for restoration on public, Tribal, state, and private lands. Developing and using native seeds nurtures a growing restoration economy that creates jobs, stimulates rural economies, and reduces risks from environmental hazards. </p>","language":"English","publisher":"Bureau of Land Management","usgsCitation":"Shriver, L.C., and Mengelt, C., 2025, National seed strategy for rehabilitation and restoration progress report 2022 & 2023: Handout, 2 p.","productDescription":"2 p.","ipdsId":"IP-175284","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481784,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.blm.gov/sites/default/files/docs/2025-01/Fact-Sheet-National-Seed-Progress-Report-FY2022-2023.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":926670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mengelt, Claudia 0000-0001-7869-5170","orcid":"https://orcid.org/0000-0001-7869-5170","contributorId":304087,"corporation":false,"usgs":true,"family":"Mengelt","given":"Claudia","email":"","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":926671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263172,"text":"ofr20251001 - 2025 - Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","interactions":[],"lastModifiedDate":"2025-02-03T14:39:58.953901","indexId":"ofr20251001","displayToPublicDate":"2025-01-31T09:59:40","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1001","displayTitle":"Distribution, Abundance, and Breeding Activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","docAbstract":"<h1>Executive Summary</h1><p>The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus; flycatcher</i>) at Marine Corps Base Camp Pendleton (MCBCP or “Base”). Surveys for the flycatcher were completed on Base between May 8 and July 26, 2023. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2023. None of the non-core survey areas were surveyed in 2023.</p><p>In 2023, 14 transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed, the Santa Margarita River and San Mateo Creek. No Willow Flycatchers were detected at Fallbrook, Las Flores, or Pilgrim Creeks. Transients occurred in a range of habitat types, including mixed willow (<i>Salix</i> spp.) riparian, and riparian scrub. Exotic vegetation, primarily poison hemlock (<i>Conium maculatum</i>), was present in most of the flycatcher locations.</p><p>In 2023, the resident Southwestern Willow Flycatcher population on Base consisted of one unpaired female occupying one territory. No territorial males were observed in 2023. The resident flycatcher population was restricted to the Santa Margarita River, and distribution was limited to the Air Station breeding area. The resident flycatcher territory was in mixed willow riparian habitat.</p><p>Nesting was initiated in late June and continued into late July. One nesting attempt was documented, which was ultimately unsuccessful because of infertile eggs. No instances of Brown-headed Cowbird (<i>Molothrus ater</i>) parasitism were observed. The flycatcher nest was placed in native sandbar willow (<i>Salix exigua</i>).</p><p>For the first time since 2012, a flycatcher that was originally banded as a nestling on MCBCP returned and established a breeding territory in 2023. The nestling (female) was originally banded in 2020, making her 3 years old. No other uniquely banded adult flycatchers present in previous years returned to MCBCP in 2023. No new adults or nestlings were banded in 2023. None of the transients observed during surveys were seen to carry bands. From 2000 to 2023, the adult annual survival of Southwestern Willow Flycatchers on MCBCP was 60±3 percent, while first-year survival was 20±3 percent.</p><p>Two measures were initiated in recent years to attract and retain breeding flycatchers on MCBCP: a conspecific attraction playback study (initiated in 2018) and an artificial seep study (initiated in 2019); both were repeated annually through 2023. The female resident flycatcher detected in 2023 was observed within 110 meters (m) of an automated playback unit, and within 90 m of an artificial seep.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251001","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report: U.S. Geological Survey Open-File Report 2025–1001, 33 p., https://doi.org/10.3133/ofr20251001.","productDescription":"viii, 33 p.","numberOfPages":"33","onlineOnly":"Y","ipdsId":"IP-164908","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":481516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1001/covrthb.jpg"},{"id":481517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":481518,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.XML"},{"id":481519,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1001/images"},{"id":481520,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251001/full"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.39997901995842,\n              33.20348147161701\n            ],\n            [\n              -117.25913148021745,\n              33.3055814745404\n            ],\n            [\n              -117.27008142483484,\n              33.33303152823157\n            ],\n            [\n              -117.30731123653293,\n              33.33486122440726\n            ],\n            [\n              -117.30731123653293,\n              33.36778918278807\n            ],\n            [\n              -117.25913148021745,\n              33.40436119178676\n            ],\n            [\n              -117.50655552691597,\n              33.51394751731537\n            ],\n            [\n              -117.51298257535665,\n              33.47148649549186\n            ],\n            [\n              -117.58070842925882,\n              33.45548832290589\n            ],\n            [\n              -117.60055243451835,\n              33.410365357587224\n            ],\n            [\n              -117.59841600919324,\n              33.38298379275541\n            ],\n            [\n              -117.49767651871517,\n              33.33176608587266\n            ],\n            [\n              -117.39997901995842,\n              33.20348147161701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Study Area and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Southwestern Willow Flycatcher Survey Areas at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 2. Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 3. Willow Flycatcher Detections at Marine Corps Base Camp Pendleton, by Drainage, 2000–23</li><li>Appendix 4. Southwestern Willow Flycatcher Territory Locations at Marine Corps Base Camp Pendleton, 2023</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263917,"text":"70263917 - 2025 - Catastrophic lava flow levee failure: Precursors, processes, and implications","interactions":[],"lastModifiedDate":"2025-02-28T16:05:16.771799","indexId":"70263917","displayToPublicDate":"2025-01-31T09:56:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Catastrophic lava flow levee failure: Precursors, processes, and implications","docAbstract":"<p><span>During an effusive eruption crisis the initial advance of a lava flow is typically the primary focus of model forecasts and hazard management efforts. Flow branching and lateral expansion of lava flows can pose significant dangers within evolving flow fields throughout the duration of an eruption and are an underappreciated hazard. We use field monitoring, infrasound, time lapse imagery, and lidar data collected during the 2018 lower East Rift Zone eruption of Kīlauea (Hawai‘i) to track the origins, progression, and implications of a flow branching event caused by catastrophic levee failure. Our analyses show that surges in effusion rate, rheologic transitions between pāhoehoe and ‘a‘ā flow regimes, slope-breaks, pre-existing topographic highs, and the structure of perched levee walls all played a role in the failure of the levee and subsequent re-routing of the lava flow. Failure of perched lava structures leads to an acutely hazardous situation because lava impounded by the structure can rapidly inundate the landscape. This is the first time a levee failure event has been observed in such detail with numerous monitoring techniques; this unprecedented level of observation provides quantifiable insights into levee failure processes that have important implications for hazard mitigation and an improved understanding of lava flow emplacement dynamics.</span></p>","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.08.01.6780","usgsCitation":"Gallant, E., Dietterich, H., Patrick, M.R., Hyman, D., Carr, B., Lyons, J.J., and Meredith, E.S., 2025, Catastrophic lava flow levee failure: Precursors, processes, and implications: Volcanica, v. 8, no. 1, p. 67-80, https://doi.org/10.30909/vol.08.01.6780.","productDescription":"14 p.","startPage":"67","endPage":"80","ipdsId":"IP-166006","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.08.01.6780","text":"Publisher Index Page"},{"id":482644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154.9167,\n              19.5\n            ],\n            [\n              -154.9167,\n              19.4333\n            ],\n            [\n              -154.8,\n              19.4333\n            ],\n            [\n              -154.8,\n              19.5\n            ],\n            [\n              -154.9167,\n              19.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":929079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyman, David Matthew 0000-0002-9607-7584","orcid":"https://orcid.org/0000-0002-9607-7584","contributorId":351609,"corporation":false,"usgs":true,"family":"Hyman","given":"David Matthew","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":929082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Brett B 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":251755,"corporation":false,"usgs":false,"family":"Carr","given":"Brett B","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":929083,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meredith, Elinor S. 0000-0002-3869-1180","orcid":"https://orcid.org/0000-0002-3869-1180","contributorId":270269,"corporation":false,"usgs":false,"family":"Meredith","given":"Elinor","email":"","middleInitial":"S.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":929085,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262093,"text":"mcs2025 - 2025 - Mineral commodity summaries 2025","interactions":[],"lastModifiedDate":"2025-07-21T17:56:01.157799","indexId":"mcs2025","displayToPublicDate":"2025-01-31T09:53:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025","displayTitle":"Mineral Commodity Summaries 2025","title":"Mineral commodity summaries 2025","docAbstract":"<h1>Introduction&nbsp;</h1><p>Each mineral commodity chapter of the 2025 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production, reserves, and resources. The MCS is the earliest comprehensive source of 2024 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.</p><p>Abbreviations and units of measure and definitions of selected terms used in the report are in Appendix A and Appendix B, respectively. Reserves and resources information is in Appendix C, which includes “Part A—Resource and Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is in Appendix D.</p><p>The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2025 are welcomed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2025","isbn":"978-1-4113-4595-9","usgsCitation":"U.S. Geological Survey, 2025, Mineral commodity summaries 2025 (ver. 1.2, March 2025): U.S. Geological Survey, 212 p., https://doi.org/10.3133/mcs2025.","productDescription":"Report: 212 p.; Data Release; Data Visualization","numberOfPages":"212","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-174629","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":466159,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/coverthb5.jpg"},{"id":492673,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118405.htm","linkFileType":{"id":5,"text":"html"}},{"id":482406,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/versionHist.txt","size":"2.43 KB","linkFileType":{"id":2,"text":"txt"}},{"id":466209,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XCP3R","text":"USGS data release"},{"id":466208,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/commodity-statistics-and-information","text":"Commodity Statistics and Information"},{"id":466207,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2025"},{"id":466210,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://tableau.usgs.gov/views/MCS2025_Workbook_01-28-2025_Public/MCSDashboard?%3Aembed=y&%3Aiid=1&%3AisGuestRedirectFromVizportal=y","text":"Data visualization"},{"id":466206,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2025/mcs2025.pdf","text":"Report","size":"9.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2025 PDF"}],"edition":"Version 1.0: January 31, 2025; Version 1.1: February 25, 2025; Version 1.2: March 3, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center/connect\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center/connect\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nmicrecordsmgt@usgs.gov\" data-mce-href=\"mailto:nmicrecordsmgt@usgs.gov\">nmicrecordsmgt@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Figure 1—The Role of Nonfuel Mineral Commodities in the U.S. Economy</li><li>Significant Events, Trends, and Issues</li><li>Figure 2—2024 U.S. Net Import Reliance</li><li>Figure 3—Leading Import Sources (2020–23) of Nonfuel Mineral Commodities</li><li>Table 1—U.S. Mineral Industry Trends</li><li>Table 2—U.S. Mineral-Related Economic Trends</li><li>Table 3—Value of Nonfuel Mineral Production in the United States in 2024</li><li>Figures 4–8—Value of Nonfuel Minerals Produced in 2024</li><li>Table 4—The 2022 U.S. Critical Minerals List</li><li>U.S. Critical Minerals Update</li><li>Table 5—Salient Critical Minerals Statistics in 2024</li><li>Figure 9—20-Year Trend of U.S. Net Import Reliance for Critical Minerals</li><li>Figure 10—Estimated 1-Year Percent Change and 5-Year Compound Annual Growth Rate in Prices of Critical Minerals</li><li>Figures 11–12—Changes in U.S. Consumption of Nonfuel Mineral Commodities</li><li>Figure 13—Value of Old Scrap Domestically Recycled, Imported, and Exported</li><li>Figure 14—Relation Between Byproduct Elements and Host Metals</li><li>Mineral Commodities</li><li>Appendix A—Abbreviations and Units of Measure</li><li>Appendix B—Definitions of Selected Terms Used in This Report</li><li>Appendix C—Reserves and Resources</li><li>Appendix D—Country Specialists Directory</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-01-31","revisedDate":"2025-03-03","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":923199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264269,"text":"70264269 - 2025 - Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","interactions":[],"lastModifiedDate":"2025-03-10T14:36:34.393735","indexId":"70264269","displayToPublicDate":"2025-01-31T09:35:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","docAbstract":"<p><span>From a resource management perspective, climate change is considered to be one of the main threats to high-elevation ecosystems. However, these valuable ecosystems present unique challenges to climate change adaptation (actions in response to environmental change and its effects in a way that seeks to reduce harm) due to their rugged and remote characteristics. Within this context, we summarized literature on climate change impacts and adaptation actions across U.S. Rocky Mountain high-elevation ecosystems to address the important question: What are the knowledge gaps for climate change responses within this ecosystem that limit the ability of natural resource managers to perform successful climate change adaptation? In addressing this question, we focus specifically on the U.S. Rocky Mountains but also place regional conclusions for climate change adaptation in high-elevation ecosystems into a broader context. Overall, we found that the complex topography and temporally variable climate of mountains promote potential refugia that may buffer alpine obligate species in the near-term but also challenge resource managers to consider biological lags within this ecosystem.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2450089","usgsCitation":"Oldfather, M.F., Ennis, A., Miller, B.W., Clark-Wolf, K., Rangwala, I., Robe, H., and Littlefield, C., 2025, Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2450089, 14 p., https://doi.org/10.1080/15230430.2025.2450089.","productDescription":"2450089, 14 p.","ipdsId":"IP-165166","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2450089","text":"Publisher Index Page"},{"id":483136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, New Mexico, 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0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":930292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark-Wolf, Kyra 0000-0003-4584-0348","orcid":"https://orcid.org/0000-0003-4584-0348","contributorId":352214,"corporation":false,"usgs":false,"family":"Clark-Wolf","given":"Kyra","affiliations":[],"preferred":false,"id":930293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangwala, Imtiaz 0000-0002-4313-9374","orcid":"https://orcid.org/0000-0002-4313-9374","contributorId":148973,"corporation":false,"usgs":false,"family":"Rangwala","given":"Imtiaz","email":"","affiliations":[{"id":34534,"text":"Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado","active":true,"usgs":false}],"preferred":true,"id":930297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robe, Hailey","contributorId":352215,"corporation":false,"usgs":false,"family":"Robe","given":"Hailey","affiliations":[],"preferred":false,"id":930298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Littlefield, Caitlin","contributorId":352216,"corporation":false,"usgs":false,"family":"Littlefield","given":"Caitlin","affiliations":[],"preferred":false,"id":930299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266323,"text":"70266323 - 2025 - Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy","interactions":[],"lastModifiedDate":"2025-05-05T14:34:45.743013","indexId":"70266323","displayToPublicDate":"2025-01-31T09:29:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prion gene sequencing in Florida panthers (<i>Puma concolor coryi</i>) suggests no differential susceptibility to transmissible spongiform encephalopathy","title":"Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy","docAbstract":"<p><span>Transmissible spongiform encephalopathy, or prion disease, poses a serious threat to wildlife; however, the susceptibility of apex predators is still being assessed. We investigated variation in the prion protein gene in Florida panthers (</span><i>Puma concolor coryi</i><span>) and found that admixture from Central American pumas probably introduced a novel, albeit benign, prion allele.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00058","usgsCitation":"Sharkey, E., Onorato, D., Roelke-Parker, M., Ochoa, A., Culver, M., and Fitak, R., 2025, Prion gene sequencing in Florida panthers (Puma concolor coryi) suggests no differential susceptibility to transmissible spongiform encephalopathy: Journal of Wildlife Diseases, v. 61, no. 1, p. 262-266, https://doi.org/10.7589/jwd-d-24-00058.","productDescription":"5 p.","startPage":"262","endPage":"266","ipdsId":"IP-166339","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-24-00058","text":"Publisher Index Page"},{"id":485375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharkey, Elizabeth","contributorId":354413,"corporation":false,"usgs":false,"family":"Sharkey","given":"Elizabeth","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, David P.","contributorId":354414,"corporation":false,"usgs":false,"family":"Onorato","given":"David P.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelke-Parker, Melody E.","contributorId":354415,"corporation":false,"usgs":false,"family":"Roelke-Parker","given":"Melody E.","affiliations":[{"id":84628,"text":"Frederick National Laboratory for Cancer Research","active":true,"usgs":false}],"preferred":false,"id":935602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ochoa, Alexander","contributorId":354416,"corporation":false,"usgs":false,"family":"Ochoa","given":"Alexander","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":935604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitak, Robert R.","contributorId":354417,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert R.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":935605,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263923,"text":"70263923 - 2025 - Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage","interactions":[],"lastModifiedDate":"2025-02-28T15:27:45.199609","indexId":"70263923","displayToPublicDate":"2025-01-31T09:24:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage","docAbstract":"<p><span>Microplastics (MPs) are gaining attention for their widespread presence and toxicity in ecosystems. However, their role as a carbon source in urban wetland carbon sinks is still unclear. In this study, the microplastic-carbon (MP-C) was firstly quantified based on the abundance and occurrence characteristics, including MP morphology, size and type in the Sanyang Wetland, a typical urban wetland of China. MP abundances ranged from 2.4 ± 0.6–14.9 ± 1.5 items/L in surface water and 6.6 ± 1.2 × 10</span><sup>3</sup><span>&nbsp;to 46.3 ± 5.9 × 10</span><sup>3</sup><span>&nbsp;items/kg in sediment. The predominant morphological characterization of MPs was fragments smaller than 200 μm in size, consisting of PP, PE, and PET, which suggests that the main source was domestic wastewater discharge nearby. Notably, in the Sanyang wetland, the contribution of MP-C to total organic carbon (TOC) was estimated to be 0.023</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\"><span>0.20 % in water and 0.026</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\"><span>0.28 % in sediment. With the continuous production of plastics globally, these values were predicted to increase to 0.12&nbsp;</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\"><span>&nbsp;0.71 % and 0.83&nbsp;</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\"><span>&nbsp;4.12 % by 2100, respectively. Although the estimations relied on simplified geometric assumptions for MP volume and theoretical carbon content, these approaches provide a reasonable basis for understanding MP-C dynamics in wetlands under current analytical constraints. The integration of MP-C characterization during environmental monitoring and management strategies would enhance our understanding of MP pollution's role in the carbon cycle.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2025.137451","usgsCitation":"Zhang, H., Pu, M., Zheng, M., Xu, B., Magnuson, J.T., Chen, Q., Xu, X., Zheng, X., Zhao, M., and Qiu, W., 2025, Abundance of microplastics in a typical urban wetland in China: Association with occurrence and carbon storage: Journal of Hazardous Materials, v. 488, 137451, 11 p., https://doi.org/10.1016/j.jhazmat.2025.137451.","productDescription":"137451, 11 p.","ipdsId":"IP-172308","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":482637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[1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Haowen","contributorId":351611,"corporation":false,"usgs":false,"family":"Zhang","given":"Haowen","affiliations":[{"id":84012,"text":"Wenzhou University, China","active":true,"usgs":false}],"preferred":false,"id":929104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pu, Mengjie","contributorId":351612,"corporation":false,"usgs":false,"family":"Pu","given":"Mengjie","affiliations":[{"id":84013,"text":"South China Normal University, China","active":true,"usgs":false}],"preferred":false,"id":929105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Ming","contributorId":351613,"corporation":false,"usgs":false,"family":"Zheng","given":"Ming","affiliations":[{"id":84014,"text":"Shanghai University, China","active":true,"usgs":false}],"preferred":false,"id":929106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":929107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":929108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Qiqing","contributorId":334796,"corporation":false,"usgs":false,"family":"Chen","given":"Qiqing","email":"","affiliations":[{"id":80250,"text":"Ed Ningbo Hangzhou Bay Hospital, China","active":true,"usgs":false}],"preferred":false,"id":929109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Xiangrong","contributorId":351614,"corporation":false,"usgs":false,"family":"Xu","given":"Xiangrong","affiliations":[{"id":84015,"text":"Guangxi University, China","active":true,"usgs":false}],"preferred":false,"id":929110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, Xiangyong","contributorId":351615,"corporation":false,"usgs":false,"family":"Zheng","given":"Xiangyong","affiliations":[{"id":84012,"text":"Wenzhou University, China","active":true,"usgs":false}],"preferred":false,"id":929111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhao, Ming","contributorId":295823,"corporation":false,"usgs":false,"family":"Zhao","given":"Ming","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":929112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":929113,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263883,"text":"70263883 - 2025 - Refined mapping of subsurface water ice on Mars to support future missions","interactions":[],"lastModifiedDate":"2025-02-27T15:21:16.10097","indexId":"70263883","displayToPublicDate":"2025-01-31T09:16:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8607,"text":"The Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Refined mapping of subsurface water ice on Mars to support future missions","docAbstract":"<p><span>Mars has an extensive yet poorly understood cryosphere. Nevertheless, both direct and indirect evidence indicates extensive buried ice across the midlatitudes, including locations where it is presently unstable. While much progress has been made in exploring the processes responsible for ice deposition and preservation during recent climatic fluctuations, a global assessment of the multiple ice reservoirs remains elusive. Motivated by science and the need to find suitable human landing sites, the Mars Subsurface Water Ice Mapping (SWIM) project has developed techniques to map out buried ice. Through integration of all appropriate orbital data sets, the SWIM project produces ∼3 km pixel</span><sup>−1</sup><span>&nbsp;ice consistency maps over depth ranges of 0–1 m, 1–5 m, and &gt;5 m. In concert with other studies, prior SWIM phases have recognized the uncertainty in our understanding of the geographic and vertical distribution of ice, especially between depths of 1 m and 10 m, creating a push for new ice-prospecting orbital missions, such as the International Mars Ice Mapper mission concept. Here we document the latest SWIM phase, which provides notional targeting maps of the lowest-latitude ice for future missions via a significant improvement in the geomorphic component of our work. The new mapping incorporates both an enhancement in our mapping of geomorphic features and surveys of thermal contraction crack polygons. Our results demonstrate the highly variable nature of the spatial distribution of the shallowest ground ice, with the most equatorward excursions occurring below 30° latitude N/S, locations thought to be out of equilibrium with the current climate.</span></p>","language":"English","publisher":"American Astronomical Society","doi":"10.3847/PSJ/ad9b24","usgsCitation":"Morgan, G.A., Putzig, N.E., Baker, D.M., Pathare, A., Dundas, C., Russell, M., Perry, M.R., Chojnacki, M., Sizemore, H.G., Bramson, A.M., Petersen, E.I., Nerozzi, S., Hoover, R.H., and Bain, Z.M., 2025, Refined mapping of subsurface water ice on Mars to support future missions: The Planetary Science Journal, v. 6, no. 2, 29, 19 p., https://doi.org/10.3847/PSJ/ad9b24.","productDescription":"29, 19 p.","ipdsId":"IP-162554","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ad9b24","text":"Publisher Index Page"},{"id":482557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putzig, Nathaniel E","contributorId":269987,"corporation":false,"usgs":false,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, David M H","contributorId":237029,"corporation":false,"usgs":false,"family":"Baker","given":"David","email":"","middleInitial":"M H","affiliations":[{"id":47589,"text":"NASA Goddard Research Center","active":true,"usgs":false}],"preferred":false,"id":928870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pathare, Asmin E.","contributorId":351547,"corporation":false,"usgs":false,"family":"Pathare","given":"Asmin E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":928871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":928872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Megan","contributorId":351548,"corporation":false,"usgs":false,"family":"Russell","given":"Megan","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":928873,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, Matthew R","contributorId":229488,"corporation":false,"usgs":false,"family":"Perry","given":"Matthew","email":"","middleInitial":"R","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928874,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":928875,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928876,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bramson, Ali M 0000-0003-4903-0916","orcid":"https://orcid.org/0000-0003-4903-0916","contributorId":201618,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","middleInitial":"M","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":928877,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petersen, Eric I","contributorId":229489,"corporation":false,"usgs":false,"family":"Petersen","given":"Eric","email":"","middleInitial":"I","affiliations":[{"id":41657,"text":"U. Arizona / U. Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":928878,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nerozzi, Stefano","contributorId":267382,"corporation":false,"usgs":false,"family":"Nerozzi","given":"Stefano","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":928879,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hoover, Rachel H","contributorId":269994,"corporation":false,"usgs":false,"family":"Hoover","given":"Rachel","email":"","middleInitial":"H","affiliations":[{"id":41659,"text":"SWRI","active":true,"usgs":false}],"preferred":false,"id":928880,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bain, Zachary M","contributorId":293261,"corporation":false,"usgs":false,"family":"Bain","given":"Zachary","email":"","middleInitial":"M","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":928881,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70265497,"text":"70265497 - 2025 - Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","interactions":[],"lastModifiedDate":"2025-04-08T15:30:56.957189","indexId":"70265497","displayToPublicDate":"2025-01-31T08:25:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","docAbstract":"<p><span>Toad flies in the genus&nbsp;</span><i>Lucilia</i><span>&nbsp;(previously referred to as&nbsp;</span><i>Bufolucilia</i><span>&nbsp;spp.) parasitize and cause myiasis in several amphibian species in North America. From 2019 to 2022, we documented&nbsp;</span><i>Lucilia bufonivora</i><span>&nbsp;infections in post-metamorphic western toads&nbsp;</span><i>(Anaxyrus boreas</i><span>) during amphibian surveys in four wetlands in Glacier National Park, Montana, US. We found nine infected adult toads in 2019, seven infected adults in 2020, one infected juvenile in 2021, and five infected adults plus one infected juvenile in 2022. We also captured Columbia spotted frogs (</span><i>Rana luteiventris</i><span>) during these same surveys but detected no infections. Only one of the four wetlands had infected toads in 2019, despite their proximity and hydrologic connectivity, but two of these wetlands had infections in 2020, and a third had a single infection in 2021. The same three of four wetlands had infections in 2022. In 2008, a similar parasitic infection in one western toad had been noted at the same wetland as in 2019. That toad had been captured again two years later without signs of infection.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00066","usgsCitation":"Fischer, L., and Hossack, B., 2025, Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA: Journal of Wildlife Diseases, v. 61, no. 1, p. 206-2011, https://doi.org/10.7589/JWD-D-24-00066.","productDescription":"6 p.","startPage":"206","endPage":"2011","ipdsId":"IP-165212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":484332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.31542629184875,\n              48.99439796903869\n            ],\n            [\n              -114.31542629184875,\n              48.51117768811824\n            ],\n            [\n              -113.42667525702582,\n              48.51117768811824\n            ],\n            [\n              -113.42667525702582,\n              48.99439796903869\n            ],\n            [\n              -114.31542629184875,\n              48.99439796903869\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fischer, Leah M.","contributorId":353074,"corporation":false,"usgs":false,"family":"Fischer","given":"Leah M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":932828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":932829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263196,"text":"70263196 - 2025 - Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?","interactions":[],"lastModifiedDate":"2025-02-03T15:16:10.140922","indexId":"70263196","displayToPublicDate":"2025-01-31T08:10:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?","docAbstract":"<p><span>Petrogenic organic carbon (OC</span><sub>petro</sub><span>), derived from sedimentary rocks, is an often overlooked and poorly quantified source of soil organic carbon (SOC), which may influence measured or modeled SOC composition, age, and stability. In this study, we exploited differences in thermochemical stability between OC</span><sub>petro</sub><span>&nbsp;and biogenic SOC (OC</span><sub>bio</sub><span>) using stepped elemental analysis to quantify the fractional contribution of OC</span><sub>petro</sub><span>&nbsp;to total SOC (f</span><sub>petro</sub><span>), and we conducted a sensitivity analysis to estimate the effects of OC</span><sub>petro</sub><span>&nbsp;on modeled SOC transit times and system ages. Specifically, we compared the effects of accounting for OC</span><sub>petro</sub><span>&nbsp;inputs in SOC turnover modeling (using SoilR) for two montane meadow soils that are underlain by Cretaceous Mancos Shale. At these sites, we estimate that OC</span><sub>petro</sub><span>&nbsp;comprises 7%–9% of the total SOC stock (f</span><sub>petro</sub><span>&nbsp;=&nbsp;0.07–0.09). However, accounting for OC</span><sub>petro</sub><span>&nbsp;as a mixture of inert and passive C or as completely inert C had negligible effects on SOC transit times and system ages, suggesting that there is a threshold of OC</span><sub>petro</sub><span>&nbsp;content under which there is minimal effect on calculated SOC turnover. Based on our sensitivity analysis, we estimate this threshold to be f</span><sub>petro</sub><span>&nbsp;=&nbsp;0.125, further supporting that the accurate calculation of OC</span><sub>petro</sub><span>&nbsp;remains an important factor in estimating SOC turnover.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007838","usgsCitation":"Williams, E.K., and Lawrence, C., 2025, Quantifying the effect of petrogenic carbon on SOC turnover for two Rocky Mountain soils: When are petrogenic carbon corrections required?: Journal of Geophysical Research: Biogeosciences, v. 130, no. 2, e2023JG007838, 16 p., https://doi.org/10.1029/2023JG007838.","productDescription":"e2023JG007838, 16 p.","ipdsId":"IP-157028","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":487609,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jg007838","text":"Publisher Index Page"},{"id":481994,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NI8OWJ","text":"USGS data release","linkHelpText":"Petrogenic organic carbon estimates for two Rocky Mountain soils underlain by Cretaceous Mancos Shale"},{"id":481603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Elk Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.32317289244807,\n              39.29883823943584\n            ],\n            [\n              -107.32317289244807,\n              38.80751849901759\n            ],\n            [\n              -106.43771612889955,\n              38.80751849901759\n            ],\n            [\n              -106.43771612889955,\n              39.29883823943584\n            ],\n            [\n              -107.32317289244807,\n              39.29883823943584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Elizabeth Kellisha 0000-0002-4863-9204","orcid":"https://orcid.org/0000-0002-4863-9204","contributorId":344970,"corporation":false,"usgs":true,"family":"Williams","given":"Elizabeth","email":"","middleInitial":"Kellisha","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":219251,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263171,"text":"fs20253005 - 2025 - Using machine learning in Minnesota’s StreamStats to predict fluvial sediment","interactions":[],"lastModifiedDate":"2025-07-21T17:54:12.663669","indexId":"fs20253005","displayToPublicDate":"2025-01-30T14:39:06","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3005","displayTitle":"Using Machine Learning in Minnesota’s StreamStats to Predict Fluvial Sediment","title":"Using machine learning in Minnesota’s StreamStats to predict fluvial sediment","docAbstract":"<p>A thorough understanding of fluvial sediment transport is essential for addressing key environmental issues such as aquatic habitat degradation, flooding, excess nutrients, and challenges with river restoration. Fluvial sediment samples are valuable for addressing these concerns, but their collection is often impractical across all rivers and timeframes of interest. In addition, previously used analytical and numerical methods have not allowed for the transfer of knowledge from sites that have data to sites that do not have data. To overcome this limitation, the U.S. Geological Survey developed machine learning models to predict suspended-sediment concentrations and bedload transport in Minnesota rivers that lack physical sediment data and integrated them into the U.S. Geological Survey StreamStats web application.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253005","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Groten, J.T., Lund, J.W., Coenen, E.N., Medenblik, A.S., Wavra, H.N., Kennedy, M., and Johnson, G.D., 2025, Using machine learning in Minnesota’s StreamStats to predict fluvial sediment: U.S. Geological Survey Fact Sheet 2025–3005, 4 p., https://doi.org/10.3133/fs20253005.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171713","costCenters":[{"id":37947,"text":"Upper Midwest Water Science 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umid-water\" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, MN 55112</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Objective</li><li>Machine Learning Models for Fluvial Sediment Prediction</li><li>StreamStats Integration</li><li>Sediment Monitoring in Minnesota</li><li>Summary</li><li>Acknowledgements</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-30","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coenen, Erin N. 0000-0003-2470-3854","orcid":"https://orcid.org/0000-0003-2470-3854","contributorId":211159,"corporation":false,"usgs":true,"family":"Coenen","given":"Erin N.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medenblik, Andrea 0000-0003-2806-7541","orcid":"https://orcid.org/0000-0003-2806-7541","contributorId":216586,"corporation":false,"usgs":true,"family":"Medenblik","given":"Andrea","email":"","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Mike","contributorId":339478,"corporation":false,"usgs":false,"family":"Kennedy","given":"Mike","email":"","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":925760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Gregory D.","contributorId":201568,"corporation":false,"usgs":false,"family":"Johnson","given":"Gregory","email":"","middleInitial":"D.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":925761,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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