{"pageNumber":"88","pageRowStart":"2175","pageSize":"25","recordCount":185143,"records":[{"id":70266527,"text":"70266527 - 2025 - No evidence for an active margin-spanning megasplay fault at the Cascadia Subduction Zone","interactions":[],"lastModifiedDate":"2025-05-09T14:56:49.904737","indexId":"70266527","displayToPublicDate":"2025-05-07T09:48:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"No evidence for an active margin-spanning megasplay fault at the Cascadia Subduction Zone","docAbstract":"<p><span>It has been previously proposed that a megasplay fault within the Cascadia accretionary wedge, spanning from offshore Vancouver Island to Oregon, has the potential to slip during a future Cascadia subduction zone earthquake. This hypothetical fault has major implications for tsunami size and arrival times and is included in disaster-planning scenarios currently in use in the region. This hypothesis is evaluated in this study using CASIE21 deep-penetrating and U.S. Geological Survey high-resolution seismic reflection profiles. We map changes in wedge structural style and seismic character to identify the inner-outer wedge transition zone where a megasplay fault has been previously hypothesized to exist and evaluate evidence for active faulting within this zone. Our results indicate that there is not an active, through-going megasplay fault in Cascadia, but instead, the structure and activity of faulting at the inner-outer wedge transition zone is highly variable and segmented along strike, consistent with the segmentation of other physical and mechanical properties in Cascadia. Wedge sedimentation, plate dip, and subducting topography are proposed to play a major role in controlling megasplay fault development and evolution. Incorporating updated megasplay fault location, geometry, and activity into modeling of Cascadia earthquakes and tsunamis could help better constrain associated hazards.</span></p>","language":"English","publisher":"McGill University Libraries","doi":"10.26443/seismica.v2i4.1477","usgsCitation":"Lucas, M.C., Ledeczi, A., Tobin, H., Carbotte, S.M., Watt, J., Han, S., Boston, B., and Jiang, D., 2025, No evidence for an active margin-spanning megasplay fault at the Cascadia Subduction Zone: Seismica, v. 2, no. 4, 1477, 28 p., https://doi.org/10.26443/seismica.v2i4.1477.","productDescription":"1477, 28 p.","ipdsId":"IP-171867","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v2i4.1477","text":"Publisher Index Page"},{"id":485645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Oregon, Washington","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.8333,\n              49.5\n            ],\n            [\n              -129.8333,\n              42\n            ],\n            [\n              -123,\n              42\n            ],\n            [\n              -123,\n              49.5\n            ],\n            [\n              -129.8333,\n              49.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucas, Madeleine C.","contributorId":263451,"corporation":false,"usgs":false,"family":"Lucas","given":"Madeleine","email":"","middleInitial":"C.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":936468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ledeczi, Anna M.","contributorId":354806,"corporation":false,"usgs":false,"family":"Ledeczi","given":"Anna M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":936469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tobin, Harold J.","contributorId":354808,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":936470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carbotte, Suzanne M.","contributorId":339692,"corporation":false,"usgs":false,"family":"Carbotte","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":936471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":936472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Han, Shuoshuo","contributorId":339693,"corporation":false,"usgs":false,"family":"Han","given":"Shuoshuo","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":936473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boston, Brian","contributorId":252937,"corporation":false,"usgs":false,"family":"Boston","given":"Brian","email":"","affiliations":[{"id":40272,"text":"Japan Agency for Marine-Earth Science and Technology","active":true,"usgs":false}],"preferred":false,"id":936474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, D.","contributorId":354811,"corporation":false,"usgs":false,"family":"Jiang","given":"D.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":936475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267968,"text":"70267968 - 2025 - Climate-driven deoxygenation of lakes alters the nutrient-toxin profile of a food fish","interactions":[],"lastModifiedDate":"2025-06-10T14:08:35.740802","indexId":"70267968","displayToPublicDate":"2025-05-07T08:59:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21817,"text":"Ecotoxicology and Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven deoxygenation of lakes alters the nutrient-toxin profile of a food fish","docAbstract":"<p><span>Climate change is rapidly altering fisheries supporting aquatic ecosystems. The implications for food security depend not only on harvest biomass but also concentrations of nutrients and toxins in fish. Using brook trout from Adirondack lakes (New York, USA), we tested whether ongoing lake deoxygenation trends will affect fish muscle omega-3 fatty acids, selenium, and mercury concentrations. Across space (16 lakes: 1 year) and time (6 years: 1 lake), anoxia decreased selenium and was associated with elevated fish mercury, with no effect on omega-3 content. Because selenium may mitigate some end points of mercury toxicity, highly variable Se:Hg molar ratios (0.70–35.79) in neighboring lakes may have health risk implications. For fish consumers, ongoing lake deoxygenation under climate change could potentially reduce selenium intake while enhancing mercury exposure. Simultaneous alteration of beneficial compounds and toxins by environmental change complicates the development of fish consumption advisories to safeguard public health in a warming world.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c01032","usgsCitation":"Jane, S.F., Heilpern, S., Brenna, J., Detmer, T.M., Driscoll, C., Eagles-Smith, C., Giri, S.K., Glahn, R., Jirka, K., Kim, J., Montesdeoca, M., Olson, C.I., Park, H., Randall, E.A., and McIntyre, P.B., 2025, Climate-driven deoxygenation of lakes alters the nutrient-toxin profile of a food fish: Ecotoxicology and Public Health, v. 59, no. 19, p. 9486-9496, https://doi.org/10.1021/acs.est.5c01032.","productDescription":"11 p.","startPage":"9486","endPage":"9496","ipdsId":"IP-164745","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":490305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.7,\n              43.71\n            ],\n            [\n              -74.98,\n              43.71\n            ],\n            [\n              -74.98,\n              43.42\n            ],\n            [\n              -74.7,\n              43.42\n            ],\n            [\n              -74.7,\n              43.71\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"19","noUsgsAuthors":false,"publicationDate":"2025-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Jane, Stephen F.","contributorId":191442,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":939809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilpern, Sebastian A.","contributorId":287013,"corporation":false,"usgs":false,"family":"Heilpern","given":"Sebastian A.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":939810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenna, J. Thomas","contributorId":356710,"corporation":false,"usgs":false,"family":"Brenna","given":"J. Thomas","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":939811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Detmer, Thomas M.","contributorId":218194,"corporation":false,"usgs":false,"family":"Detmer","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":939812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Charles T.","contributorId":240874,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":939813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939814,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giri, Shree K.","contributorId":168670,"corporation":false,"usgs":false,"family":"Giri","given":"Shree","email":"","middleInitial":"K.","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":939815,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glahn, Raymond P.","contributorId":356711,"corporation":false,"usgs":false,"family":"Glahn","given":"Raymond P.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":939816,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jirka, Kurt J.","contributorId":356712,"corporation":false,"usgs":false,"family":"Jirka","given":"Kurt J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":939817,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kim, Julia","contributorId":356739,"corporation":false,"usgs":false,"family":"Kim","given":"Julia","affiliations":[],"preferred":false,"id":939910,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Montesdeoca, Mario R.","contributorId":198382,"corporation":false,"usgs":false,"family":"Montesdeoca","given":"Mario R.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":939818,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olson, Connor I.","contributorId":244597,"corporation":false,"usgs":false,"family":"Olson","given":"Connor","email":"","middleInitial":"I.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":939819,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Park, Hui Gyu","contributorId":356713,"corporation":false,"usgs":false,"family":"Park","given":"Hui Gyu","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":939820,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Randall, Eileen A.","contributorId":210349,"corporation":false,"usgs":false,"family":"Randall","given":"Eileen","email":"","middleInitial":"A.","affiliations":[{"id":38104,"text":"EcoLogic LLC","active":true,"usgs":false}],"preferred":false,"id":939821,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":939822,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70270858,"text":"70270858 - 2025 - Lessons in business recovery following the 2023 Kahramanmaraş earthquake sequence, Türkiye informed by women entrepreneurs","interactions":[],"lastModifiedDate":"2025-08-26T15:34:04.782936","indexId":"70270858","displayToPublicDate":"2025-05-07T08:27:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Lessons in business recovery following the 2023 Kahramanmaraş earthquake sequence, Türkiye informed by women entrepreneurs","docAbstract":"<p><span>On 6 February 2023, Southern Türkiye was hit by devastating earthquakes, directly affecting over 14 million people in 11 cities, causing more than 50,000 deaths and the destruction of more than 800,000 buildings. This article goes beyond the physical damage imposed by the catastrophe to discuss the effects of the earthquakes on the operations of women-owned businesses. The mixed-method study with entrepreneurs belonging to a women’s business association operating in a moderately disrupted part of the region explores their struggles and recovery expectations. Thirty-five questionnaires were analyzed to identify the reasons for business closure, challenges, and needs faced in the post-disaster period and their recovery strategies. In addition, 23 entrepreneurs participated in roundtable discussions to provide a broader context to their responses to survey topics as well as lessons learned. Across both the survey and roundtables, while many respondents reported minor physical damage to their building, they also experienced financial and personal challenges from disruption to equipment, infrastructure, services, supply chains, institutional decisions, employee well-being, and customer base. Many used their business resources and personal savings to assist employees and others in the community. The women entrepreneurs often felt their recovery needs were ignored by government and private relief organizations and encountered barriers to receiving assistance from public and private institutions. Organizing together as women in business, even informally, provided mutual support during the crisis and recovery periods and catalyzed their role in support of their communities. The results illuminate functional community recovery as a balance of recovery of built infrastructure functionality and recovery of the broader social and economic fabric of the community.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/87552930251330921","usgsCitation":"Orhan, E., Wein, A., Kroll, C., and Fung, J., 2025, Lessons in business recovery following the 2023 Kahramanmaraş earthquake sequence, Türkiye informed by women entrepreneurs: Earthquake Spectra, v. 41, no. 3, p. 1910-1940, https://doi.org/10.1177/87552930251330921.","productDescription":"31 p.","startPage":"1910","endPage":"1940","ipdsId":"IP-166964","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":494904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","otherGeospatial":"southern Turkey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              34.331004781765444,\n              37.920957650366006\n            ],\n            [\n              34.331004781765444,\n              36.747538006336825\n            ],\n            [\n              40.125738345242354,\n              36.747538006336825\n            ],\n            [\n              40.125738345242354,\n              37.920957650366006\n            ],\n            [\n              34.331004781765444,\n              37.920957650366006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Orhan, Ezgi","contributorId":360575,"corporation":false,"usgs":false,"family":"Orhan","given":"Ezgi","affiliations":[{"id":86042,"text":"Cankaya University, Turkiye","active":true,"usgs":false}],"preferred":false,"id":947222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroll, Cynthia","contributorId":360576,"corporation":false,"usgs":false,"family":"Kroll","given":"Cynthia","affiliations":[{"id":66280,"text":"Cynthia Kroll Consulting","active":true,"usgs":false}],"preferred":false,"id":947224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fung, Juan","contributorId":360577,"corporation":false,"usgs":false,"family":"Fung","given":"Juan","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":947225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267683,"text":"70267683 - 2025 - Interpreting a sudden population decline in a long-lived species (Malaclemys terrapin rhizophorarum)","interactions":[],"lastModifiedDate":"2025-05-29T15:03:15.907361","indexId":"70267683","displayToPublicDate":"2025-05-07T07:57:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Interpreting a sudden population decline in a long-lived species (Malaclemys terrapin rhizophorarum)","docAbstract":"<p><span>Long-term ecological studies are critical for providing insight into population dynamics and detecting population declines, particularly for species of conservation concern. However, spatiotemporal variation and logistical challenges make the identification of sudden population declines difficult. We conducted an in-water capture-mark-recapture study of mangrove diamond-backed terrapins (</span><i>Malaclemys terrapin rhizophorarum</i><span>) within Big Sable Creek, in Everglades National Park, Florida. We used an 18-year dataset (2001 to 2019) incorporating year, sex, hurricane occurrence, and sampling effort to estimate survival using Cormack–Jolly–Seber (CJS) models in Program Mark. Annual survivorship estimates were high from 2001 to 2003 for both sexes (91%–96%) and variable from 2006 to 2014 (77%–92%). Beginning in 2015, survival estimates exhibited a steeper decline (females: 65%, males 75%), and dropped to below 36% by 2018. Because the driver of this apparent population decline is unknown, we created a population projection matrix and used model-estimated annual survival to simulate annual terrapin population size. We then generated competing scenarios of low survival at various age classes to attempt to reproduce a simulated decline mirroring what we observed from our capture data. A scenario of low adult survival (75%–85%) from 2012 to 2018, possibly in conjunction with no reproduction after 2010, provides estimates of abundance that appear to match simulated annual population size and may indicate that adult emigration/human removal or a drastic drop in recruitment could be responsible for the apparent decline in survival. We explore reasons for this apparent decline and highlight difficulties common to long-term studies that may influence how declines are interpreted.</span></p>","language":"English","publisher":"British Ecological Society","doi":"10.1002/ece3.71347","usgsCitation":"Guzy, J.C., Smith, B., Denton, M., Cherkiss, M., Roche, D., Crowder, A., and Hart, K., 2025, Interpreting a sudden population decline in a long-lived species (Malaclemys terrapin rhizophorarum): Ecology and Evolution, v. 15, no. 5, e71347, 16 p., https://doi.org/10.1002/ece3.71347.","productDescription":"e71347, 16 p.","ipdsId":"IP-168394","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71347","text":"Publisher Index Page"},{"id":486731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Cape Sable, Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.29674951955056,\n              25.648529217591914\n            ],\n            [\n              -81.29674951955056,\n              25.09922085696259\n            ],\n            [\n              -80.79518175403075,\n              25.09922085696259\n            ],\n            [\n              -80.79518175403075,\n              25.648529217591914\n            ],\n            [\n              -81.29674951955056,\n              25.648529217591914\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":938536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":938537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denton, Mathew 0000-0002-1024-3722","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":210504,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":938538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":218466,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":938539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roche, David 0000-0002-3329-2746 droche@usgs.gov","orcid":"https://orcid.org/0000-0002-3329-2746","contributorId":204332,"corporation":false,"usgs":true,"family":"Roche","given":"David","email":"droche@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":true,"id":938540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crowder, Andrew G.","contributorId":355985,"corporation":false,"usgs":false,"family":"Crowder","given":"Andrew G.","affiliations":[{"id":84891,"text":"Xylem Analytics","active":true,"usgs":false}],"preferred":false,"id":938541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":938542,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266883,"text":"70266883 - 2025 - Long-term patterns in growth of White Sturgeon in the Sacramento-San Joaquin River basin, California.","interactions":[],"lastModifiedDate":"2025-05-15T13:11:35.40062","indexId":"70266883","displayToPublicDate":"2025-05-06T09:26:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Long-term patterns in growth of White Sturgeon in the Sacramento-San Joaquin River basin, California.","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>The Sacramento-San Joaquin River system (SSJ) of California includes both riverine, delta, and estuarine habitats and is among the most modified aquatic ecosystems in the United States. Water development projects in the system are associated with declines of many native species, including White Sturgeon<span>&nbsp;</span><i>Acipenser transmontanus</i>.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>We used White Sturgeon pectoral fin rays collected from 1983 to 2016 throughout the SSJ to assess long-term changes in growth and associations with thermal and hydrological conditions (i.e., temperature, discharge, salinity). Age and growth were estimated from 1,897 White Sturgeon varying in fork length from 25 to 210 cm and from age 0 to 33.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>Age structure varied through time with the oldest fish generally sampled during the mid-1980s. Growth of White Sturgeon in 1951–1970 was slower than growth of fish in 1971–1990 and 1991–2012. Growth of White Sturgeon during 1991–2012 was ~10% higher than during other time periods.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Little variation in growth was explained by environmental covariates, suggesting that annual growth was likely influenced by factors not measured in our study. Alternatively, population structure and movement behavior of White Sturgeon in the SSJ may be such that the scale (i.e., spatial or temporal) of available habitat covariates was mismatched to the scale at which growth of White Sturgeon responds. Increased growth in recent times may be partly due to density-dependent processes in association with substantial declines in White Sturgeon population abundance over the last several decades. This research provides important information on long-term patterns in growth that contributes to the conservation and management of White Sturgeon in the SSJ and beyond.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2025.1577065","usgsCitation":"Quist, M.C., Blackburn, S., Ulaski, M., and Jackson, Z., 2025, Long-term patterns in growth of White Sturgeon in the Sacramento-San Joaquin River basin, California.: Frontiers in Freshwater Science, v. 3, 1577065, 10 p., https://doi.org/10.3389/ffwsc.2025.1577065.","productDescription":"1577065, 10 p.","ipdsId":"IP-175717","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488907,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2025.1577065","text":"Publisher Index Page"},{"id":485931,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.79850686101548,\n              38.755876798924476\n            ],\n            [\n              -122.64621142922209,\n              38.755876798924476\n            ],\n            [\n              -122.64621142922209,\n              37.31156292678925\n            ],\n            [\n              -120.79850686101548,\n              37.31156292678925\n            ],\n            [\n              -120.79850686101548,\n              38.755876798924476\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2025-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackburn, Shannon","contributorId":338596,"corporation":false,"usgs":false,"family":"Blackburn","given":"Shannon","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":937031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulaski, Marta","contributorId":280108,"corporation":false,"usgs":false,"family":"Ulaski","given":"Marta","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":937032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Zachary","contributorId":338597,"corporation":false,"usgs":false,"family":"Jackson","given":"Zachary","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937033,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275112,"text":"70275112 - 2025 - Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","interactions":[{"subject":{"id":70275112,"text":"70275112 - 2025 - Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","indexId":"70275112","publicationYear":"2025","noYear":false,"title":"Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington","indexId":"ofr20261004","publicationYear":"2026","noYear":false,"title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington"},"id":1}],"supersededBy":{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington","indexId":"ofr20261004","publicationYear":"2026","noYear":false,"title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington"},"lastModifiedDate":"2026-04-22T18:50:14.222897","indexId":"70275112","displayToPublicDate":"2025-05-06T09:17:38","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","docAbstract":"<p id=\"p-2\">Restoration of salmon populations in the upper Lewis River Basin depends on a trap-and-haul program owing to the Lewis River Hydroelectric Project (Project) operated by PacifiCorp and Cowlitz PUD (Utilities), which has been a barrier to salmon passage since the 1930s. Thus, sustaining the Coho salmon (<i>Oncorhynchus kisutch</i>) population upstream of the Project currently depends on two fundamental factors: (1) the collection of upstream migrating adult Coho salmon at Merwin Dam, the lower most dam within the Project, and transporting them by truck to spawn above Swift Dam, the upper most dam within the Project; and (2) the collection of out-migrating juvenile Coho salmon at the downstream collection facility at Swift Dam for transport and release below the Project. The reintroduction program began once the downstream collection facility at Swift Dam was commissioned in late-2012 with the first year of transport data being collected in 2013. Over the past decade, the Utilities have been collecting data on juvenile outmigrants and adult fish returns at the dams. The need to construct a life cycle model for Lewis River anadromous fish was identified by the Lewis River Aquatic Technical Subgroup, with the understanding that many years (&gt;15) of data collection are needed to adequately measure the life cycle production of coho salmon. Use of past data to construct models could help inform future data collection and provide a framework that can be updated annually to measure trap and haul program performance within a life cycle context (Note: Data are not currently available from PacifiCorp. Contact organization<span>&nbsp;</span><span class=\"underline\">Chris Karchesky</span><span>&nbsp;</span>for further information).</p><p id=\"p-3\">Because Coho salmon can live as long as five years, estimating demographic parameters for Coho salmon populations over their life cycle requires at least 10 or more years of data collection. Over the past decade, PacifiCorp has been collecting data on fish collection efficiency and the numbers of adult and juvenile salmon transported around the Lewis River dams, providing sufficient data to formulate a life cycle model that can guide future data collection efforts and provide preliminary information to resource managers The goal of the statistical life cycle model was to estimate annual production and survival during two critical life-stage transitions (1) the freshwater production from escapement of adults released upstream of Swift Dam, and the collection of downstream migrating juveniles at the passage facility at Swift Dam, and (2) the smolt-to-adult survival from the time of collection at Swift Dam to their return as adults. We used the Beverton-Holt stock-recruitment model to estimate juvenile production from the number of spawners. This approach allowed us to test for density dependence at current spawner abundances while estimating annual productivity, defined as the number of juveniles produced per spawner at low spawner abundance. Productivity was then expressed as a function of the number of juveniles collected and transported downstream of the Project. Because juvenile Fish Collection Efficiency (FCE) directly affects the number of juveniles that survive to continue downstream migration, FCE is a primary determinant of fish production. Consequently, the modeling framework is well suited to evaluate the performance of trap and haul programs within a life cycle context.</p><p id=\"p-4\">The objectives of this study were to: (1) gather and collate available data on adult and juvenile Coho salmon at Merwin and Swift dams, (2) quantify adult escapement, juvenile abundance, and the age at outmigration and adult return, (3) describe, formulate, and fit the integrated population model (IPM) to the data, and (4) summarize our findings, identify data gaps, and identify potential opportunities for future studies that could provide information used to improve model estimation and inference. Our key findings were: (1) over and above the number of spawning females, FCE was the primary factor affecting productivity of Coho salmon above Swift Dam, (2) smolt-to-adult return (SAR) rates were relatively high considering that harvest was included in the estimate, averaging about 4.5% and ranging as high as 12.9%, and (3) juvenile capacity upriver of Swift Dam was difficult to estimate due to the limited range in spawning females over the time series of data, suggesting the model may be improved by collecting data at higher spawner abundances. In addition, by including FCE in the model, we estimated that the median pre-collection productivity, defined as the number of juveniles produced per spawner when FCE = 1, was 64 juveniles per spawner. Because this two-stage life cycle model partitions factors that affect fish production in river versus the ocean, the model estimates should help inform fishery managers about the overall role that fish collection at Swift Dam plays in the recovery and sustainability of Lewis River Coho salmon. By providing the model with (1) more years of data, (2) higher numbers of spawning females, and (3) data on age at juvenile migration in relation to age at adult return greater certainty in the estimates of capacity and SAR can be attained. Ultimately, information provided by the model can assist in the evaluation and continued improvement of the current trap and haul program to support anadromous fishes in the Lewis River Basin.</p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.04.30.651546","usgsCitation":"Plumb, J., and Perry, R.W., 2025, Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington: BioRxiv, https://doi.org/10.1101/2025.04.30.651546.","productDescription":"34 p.","ipdsId":"IP-178609","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502905,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502978,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.04.30.651546","text":"External Repository"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":223236,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":959472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":959473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266492,"text":"70266492 - 2025 - Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities","interactions":[],"lastModifiedDate":"2025-05-08T14:12:51.567682","indexId":"70266492","displayToPublicDate":"2025-05-06T09:07:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities","docAbstract":"<ol class=\"\"><li><p>Extreme meteorological events such as storms are increasing in frequency and intensity, but our knowledge of their impacts on aquatic ecosystems and emergent system properties is limited. Understanding the ecological impacts of storms on the dynamics of primary producers remains a challenge that needs to be addressed to assess the vulnerability of freshwater ecosystems to extreme weather conditions and climate change.</p></li><li><p>One promising approach to gain insights into storm impacts on phytoplankton community dynamics is to analyse long-term monitoring datasets. However, such an approach requires disentangling the impacts of short-term meteorological disturbances from the effects of the seasonal trajectories of meteorological conditions. To this end, we applied boosted regression tree models to phytoplankton time series from eight relatively large lakes on four continents, coupled with a procedure adapted to detect and quantify rare events.</p></li><li><p>Overall, the patterns and potential drivers we identified provide important insights into the responses of lakes to short-term meteorological events and highlight differences in the response of phytoplankton communities according to lake morphological characteristics. Our results indicated that deepened thermoclines and lake-specific combinations of drivers describing altered thermal structures caused deviations from the typical trajectories of seasonal phytoplankton succession. For shallow polymictic lakes, shifts in phytoplankton succession also depended on changes in light availability.</p></li><li><p>Overall, our study highlights the value of long-term monitoring to improve our understanding of phytoplankton sensitivity to short-term meteorological disturbances.</p></li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70023","usgsCitation":"Tran-Khac, V., Doubek, J., Patil, V.P., Stockwell, J., Adrian, R., Change, C., Dur, G., Lewandowska, A., Rusak, J., Salmaso, N., Straile, D., Thackeray, S., Venail, P., Bhattacharya, R., Brentrup, J., Bruel, R., Feuchtmayr, H., Gessner, M., Grossart, H., Ibelings, B., Jacquet, S., MacIntyre, S., Matsuzaki, S., Nodine, E., Nõges, P., Rudstam, L., Soulignac, F., Verburg, P., Znachor, P., Zohary, T., and Anneville, O., 2025, Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities: Freshwater Biology, v. 70, no. 5, e70023, 18 p., https://doi.org/10.1111/fwb.70023.","productDescription":"e70023, 18 p.","ipdsId":"IP-144267","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488162,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70023","text":"Publisher Index Page"},{"id":485553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tran-Khac, V.","contributorId":354726,"corporation":false,"usgs":false,"family":"Tran-Khac","given":"V.","affiliations":[{"id":84647,"text":"University of Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":936250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doubek, J.P.","contributorId":354727,"corporation":false,"usgs":false,"family":"Doubek","given":"J.P.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":936251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":936252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockwell, J.D.","contributorId":265882,"corporation":false,"usgs":false,"family":"Stockwell","given":"J.D.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":936253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adrian, R.","contributorId":265885,"corporation":false,"usgs":false,"family":"Adrian","given":"R.","email":"","affiliations":[{"id":54816,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries, Freie Universitat Berlin","active":true,"usgs":false}],"preferred":false,"id":936254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Change, C.-W.","contributorId":354728,"corporation":false,"usgs":false,"family":"Change","given":"C.-W.","affiliations":[{"id":84648,"text":"Academia Sinica, Research Center for Environmental Changes","active":true,"usgs":false}],"preferred":false,"id":936255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dur, G.","contributorId":354729,"corporation":false,"usgs":false,"family":"Dur","given":"G.","affiliations":[{"id":84649,"text":"Creative Science Unit (Geosciences), Faculty of Science, Shizuoka University","active":true,"usgs":false}],"preferred":false,"id":936256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lewandowska, A.","contributorId":354730,"corporation":false,"usgs":false,"family":"Lewandowska","given":"A.","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":936257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rusak, J.A.","contributorId":354731,"corporation":false,"usgs":false,"family":"Rusak","given":"J.A.","affiliations":[{"id":84650,"text":"Dorset Environmental Science Centre, Ontario Ministry of the Environment","active":true,"usgs":false}],"preferred":false,"id":936258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Salmaso, N.","contributorId":354732,"corporation":false,"usgs":false,"family":"Salmaso","given":"N.","affiliations":[{"id":81867,"text":"Research and Innovation Centre, Fondazione Edmund 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Tecnología","active":true,"usgs":false}],"preferred":false,"id":936262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bhattacharya, R.","contributorId":354735,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"R.","affiliations":[{"id":84653,"text":"Department of Biological, Geology, and Environmental Sciences, Cleveland State University","active":true,"usgs":false}],"preferred":false,"id":936263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Brentrup, J.","contributorId":354736,"corporation":false,"usgs":false,"family":"Brentrup","given":"J.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":936264,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bruel, R.","contributorId":354737,"corporation":false,"usgs":false,"family":"Bruel","given":"R.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":936265,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Feuchtmayr, H.","contributorId":265879,"corporation":false,"usgs":false,"family":"Feuchtmayr","given":"H.","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":936266,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gessner, M.O.","contributorId":354738,"corporation":false,"usgs":false,"family":"Gessner","given":"M.O.","affiliations":[{"id":18001,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":936267,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Grossart, H-P.","contributorId":354739,"corporation":false,"usgs":false,"family":"Grossart","given":"H-P.","affiliations":[{"id":18001,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":936268,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ibelings, B.W.","contributorId":354740,"corporation":false,"usgs":false,"family":"Ibelings","given":"B.W.","affiliations":[{"id":84654,"text":"University of Geneva, Department F.-A. Forel for Aquatic and Environmental Sciences and Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":936269,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Jacquet, S.","contributorId":354741,"corporation":false,"usgs":false,"family":"Jacquet","given":"S.","affiliations":[{"id":84647,"text":"University of Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":936270,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"MacIntyre, S.","contributorId":354742,"corporation":false,"usgs":false,"family":"MacIntyre","given":"S.","affiliations":[{"id":84655,"text":"University of California at Santa Barbara, Dept. of Ecology, Evolution, and Marine Biology","active":true,"usgs":false}],"preferred":false,"id":936271,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Matsuzaki, S.S.","contributorId":354743,"corporation":false,"usgs":false,"family":"Matsuzaki","given":"S.S.","affiliations":[{"id":84656,"text":"National Institute for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":936272,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Nodine, E.","contributorId":354744,"corporation":false,"usgs":false,"family":"Nodine","given":"E.","affiliations":[{"id":84657,"text":"Rollins College, Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":936273,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Nõges, P.","contributorId":354745,"corporation":false,"usgs":false,"family":"Nõges","given":"P.","affiliations":[{"id":84658,"text":"Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":936274,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Rudstam, L.G.","contributorId":243538,"corporation":false,"usgs":false,"family":"Rudstam","given":"L.G.","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":936275,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Soulignac, F.","contributorId":354746,"corporation":false,"usgs":false,"family":"Soulignac","given":"F.","affiliations":[{"id":84647,"text":"University of Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":936276,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Verburg, P.","contributorId":354747,"corporation":false,"usgs":false,"family":"Verburg","given":"P.","affiliations":[{"id":57245,"text":"School of Geography, Environment and Earth Sciences, Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":936277,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Znachor, P.","contributorId":354748,"corporation":false,"usgs":false,"family":"Znachor","given":"P.","affiliations":[{"id":84659,"text":"Biology Centre CAS, Institute of Hydrobiology","active":true,"usgs":false}],"preferred":false,"id":936278,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Zohary, T.","contributorId":354749,"corporation":false,"usgs":false,"family":"Zohary","given":"T.","affiliations":[{"id":84660,"text":"32- Israel Oceanographic and Limnological Research","active":true,"usgs":false}],"preferred":false,"id":936279,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Anneville, O.","contributorId":243525,"corporation":false,"usgs":false,"family":"Anneville","given":"O.","affiliations":[{"id":48714,"text":"Université Savoie","active":true,"usgs":false}],"preferred":false,"id":936280,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}}
,{"id":70267504,"text":"70267504 - 2025 - Native Yellowstone cutthroat trout Oncorhynchus virginalis bouvieri growth and survival in a headwater stream primarily driven by warming stream temperatures, with non-native brown trout Salmo trutta posing an additional threat to survival","interactions":[],"lastModifiedDate":"2025-05-28T14:07:20.114056","indexId":"70267504","displayToPublicDate":"2025-05-06T09:01:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Native Yellowstone cutthroat trout <i>Oncorhynchus virginalis bouvieri</i> growth and survival in a headwater stream primarily driven by warming stream temperatures, with non-native brown trout <i>Salmo trutta</i> posing an additional threat to survival","title":"Native Yellowstone cutthroat trout Oncorhynchus virginalis bouvieri growth and survival in a headwater stream primarily driven by warming stream temperatures, with non-native brown trout Salmo trutta posing an additional threat to survival","docAbstract":"<p><span>Warming rivers and interactions with non-native species impact salmonid species globally. Understanding how hydroclimatic conditions synergistically and independently interact with non-native species is critical for effectively managing salmonids into the future. We used a 10-year mark–recapture dataset to assess how native Yellowstone cutthroat trout (YCT)&nbsp;</span><i>Oncorhynchus virginalis bouvieri</i><span>&nbsp;and non-native brown trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;growth rates and apparent survival were affected by hydroclimatic conditions and (for YCT) the presence of brown trout in a tributary. Growth (YCT) and survival (both species across size classes) were negatively related to warming stream temperatures. Brown trout growth was positively related to increasing daily streamflow variability (a proxy for streamflow), but this variable was not included in the top YCT growth model. Density-dependent effects appeared to be non-existent (growth) or weakly positive (survival). When sympatric with brown trout, YCT displayed worse survival than allopatric YCT across environmental conditions. Broadly, we found native and non-native trout respond to different hydroclimatic conditions that shift with changing climatic conditions, and brown trout represent an additional threat to YCT survival.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0211","usgsCitation":"Heinle, K., Al-Chokhachy, R., Sepulveda, A., and Verhille, C.E., 2025, Native Yellowstone cutthroat trout Oncorhynchus virginalis bouvieri growth and survival in a headwater stream primarily driven by warming stream temperatures, with non-native brown trout Salmo trutta posing an additional threat to survival: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-17, https://doi.org/10.1139/cjfas-2024-0211.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-168237","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490403,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WUVM5S","text":"USGS data release","linkHelpText":"Trout mark-recapture and stream temperature and streamflow data from Duck Creek, Montana"},{"id":486636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"East Fork Duck Creek, Henry Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.38754194568855,\n              45.95593917254632\n            ],\n            [\n              -110.38754194568855,\n              45.80046830120395\n            ],\n            [\n              -110.17467211725662,\n              45.80046830120395\n            ],\n            [\n              -110.17467211725662,\n              45.95593917254632\n            ],\n            [\n              -110.38754194568855,\n              45.95593917254632\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinle, Kadie B.","contributorId":355955,"corporation":false,"usgs":false,"family":"Heinle","given":"Kadie B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":938444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":222450,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verhille, Christine E.","contributorId":174642,"corporation":false,"usgs":false,"family":"Verhille","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":13461,"text":"U.C. Davis","active":true,"usgs":false}],"preferred":false,"id":938447,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266755,"text":"70266755 - 2025 - Horizontal transport of Picture Gorge Basalt magma through the Monument Dike Swarm determined by magnetic fabric","interactions":[],"lastModifiedDate":"2025-05-28T14:59:01.115416","indexId":"70266755","displayToPublicDate":"2025-05-06T08:52:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Horizontal transport of Picture Gorge Basalt magma through the Monument Dike Swarm determined by magnetic fabric","docAbstract":"<p><span>Flood basalts of the mid-Miocene Columbia River Basalt Group (CRBG) cover 210,000&nbsp;km</span><sup>2</sup><span>&nbsp;of Washington, Oregon, and Idaho. The source of CRBG melt is debated; widely spaced feeder dike swarms can be projected toward hypothetical sources near the Oregon-Idaho border. In this study, we use anisotropy of magnetic susceptibility (AMS) to track magma flow in the Monument dike swarm (MDS), the feeder dikes of the Picture Gorge Basalt (PGB). This small formation of the main-phase CRBG eruptions allows us to explore in detail the localized dynamics of a large igneous province feeder system, with implications for the larger CRBG picture. We measured the magnetic fabric of 205 oriented paleomagnetic specimens subsampled from 97 samples collected from 15 dikes of the MDS. Thermal demagnetization and hysteresis loops show that the magnetic minerals are a mixture of single domain and multidomain sized titanomagnetites. At three dikes, the paleodepth of sampling was determined to be shallow (&lt;350&nbsp;m). Magma flowing through dikes has been shown—in most cases— to acquire an anisotropic magnetic fabric with an AMS ellipsoid minimum axis perpendicular to the wall and maximum axis aligned in the direction of flow. Of 15 dikes, 12 show horizontal flow directions in the plane of the dike. Only one dike displayed imbricated fabrics, showing westward flow away from the Oregon-Idaho border. We conclude that magma flow in the MDS was sub-horizontal from a distal source.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC012078","usgsCitation":"Avery, M.S., and Pivarunas, A.F., 2025, Horizontal transport of Picture Gorge Basalt magma through the Monument Dike Swarm determined by magnetic fabric: Geochemistry, Geophysics, Geosystems, v. 26, no. 5, e2024GC012078, 15p., https://doi.org/10.1029/2024GC012078.","productDescription":"e2024GC012078, 15p.","ipdsId":"IP-171767","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":490122,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc012078","text":"Publisher Index Page"},{"id":485707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.25,\n              45\n            ],\n            [\n              -120.25,\n              44\n            ],\n            [\n              -118.5,\n              44\n            ],\n            [\n              -118.5,\n              45\n            ],\n            [\n              -120.25,\n              45\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Avery, Margaret Susan 0000-0002-8504-7072","orcid":"https://orcid.org/0000-0002-8504-7072","contributorId":329991,"corporation":false,"usgs":true,"family":"Avery","given":"Margaret","email":"","middleInitial":"Susan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":936691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":936692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268784,"text":"70268784 - 2025 - Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA","interactions":[],"lastModifiedDate":"2025-07-08T15:50:15.049077","indexId":"70268784","displayToPublicDate":"2025-05-06T08:46:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA","docAbstract":"In landscapes recently impacted by continental glaciation, landslides may occur where topographic relief has been generated by the drainage of glacial lakes and ensuing post-glacial fluvial network development into unconsolidated glacially derived sediments and exhumed bedrock. To investigate linkages among environmental variables, post-glacial landscape development, and landslides, we created a landslide inventory of nearly 10,000 landslides in five regions of the formerly glaciated low-relief state of Minnesota, USA. Multivariate logistic regression indicates the importance of slope angle, lithology, and the development of stream valleys to landslide distribution. Areas underlain by fine-grained glaciolacustrine and nearshore deposits that are incised by streams are particularly prone to shallow (<1-2 m depth) landslides. Landslides also occur in a wide range of glacial and fluvial deposits, and as rockfall in layered Paleozoic sedimentary rocks in central and southern Minnesota and Precambrian igneous and sedimentary rocks in northeastern Minnesota. Although no more than 1-2% of the studied regions are susceptible to landslides, they can pose risk to life and safety, damage infrastructure, and impact water quality. The combination of recently generated low-relief steep slopes, extensive unconsolidated sediments, and layered sedimentary bedrock make this formerly glaciated landscape more susceptible to landslides than current national-scale models indicate.","language":"English","publisher":"Springer Nature","doi":"10.1007/s11069-025-07262-8","usgsCitation":"Triplett, L., Hammer, M.N., DeLong, S.B., Gran, K.B., Jennings, C.E., Engle, Z.T., Bartley, J., Blumentritt, D., Breckenridge, A., Day, S., Kohout, M., Larson, P., McDermott, J., and Richard, E., 2025, Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA: Natural Hazards, v. 121, p. 11799-11827, https://doi.org/10.1007/s11069-025-07262-8.","productDescription":"29 p.","startPage":"11799","endPage":"11827","ipdsId":"IP-176536","costCenters":[{"id":237,"text":"Earthquake Science 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sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":941944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gran, Karen B.","contributorId":288093,"corporation":false,"usgs":false,"family":"Gran","given":"Karen","email":"","middleInitial":"B.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":true,"id":941945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, Carrie E.","contributorId":288092,"corporation":false,"usgs":false,"family":"Jennings","given":"Carrie","email":"","middleInitial":"E.","affiliations":[],"preferred":true,"id":941946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Zachary T. 0000-0002-6412-7727","orcid":"https://orcid.org/0000-0002-6412-7727","contributorId":300814,"corporation":false,"usgs":true,"family":"Engle","given":"Zachary","email":"","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":941947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bartley, Julie K.","contributorId":353117,"corporation":false,"usgs":false,"family":"Bartley","given":"Julie K.","affiliations":[{"id":84345,"text":"Gustavus Adolphus College","active":true,"usgs":false}],"preferred":false,"id":941948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blumentritt, Dylan J.","contributorId":353118,"corporation":false,"usgs":false,"family":"Blumentritt","given":"Dylan J.","affiliations":[{"id":61757,"text":"Winona State University","active":true,"usgs":false}],"preferred":false,"id":941949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breckenridge, Andy","contributorId":357609,"corporation":false,"usgs":false,"family":"Breckenridge","given":"Andy","affiliations":[{"id":33516,"text":"University of Wisconsin-Superior","active":true,"usgs":false}],"preferred":false,"id":941950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Day, Stephanie","contributorId":353120,"corporation":false,"usgs":false,"family":"Day","given":"Stephanie","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":941951,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kohout, Melissa A.","contributorId":353121,"corporation":false,"usgs":false,"family":"Kohout","given":"Melissa A.","affiliations":[{"id":84347,"text":"Mankato State University","active":true,"usgs":false}],"preferred":false,"id":941952,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Larson, Philip H.","contributorId":353122,"corporation":false,"usgs":false,"family":"Larson","given":"Philip H.","affiliations":[{"id":84348,"text":"Minnesota State University Mankato","active":true,"usgs":false}],"preferred":false,"id":941953,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDermott, Jeni A.","contributorId":353123,"corporation":false,"usgs":false,"family":"McDermott","given":"Jeni A.","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":941954,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Richard, Emilie","contributorId":300815,"corporation":false,"usgs":false,"family":"Richard","given":"Emilie","email":"","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":941955,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70267313,"text":"70267313 - 2025 - Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system","interactions":[],"lastModifiedDate":"2025-06-16T14:01:42.236379","indexId":"70267313","displayToPublicDate":"2025-05-06T08:31:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system","docAbstract":"<p>Objective</p><p>Lampreys are an ecologically important group of fishes. Several species are imperiled and lack key distribution and habitat data. The terminal Goose Lake Basin, U.S.A. is home to two such species, the Goose Lake Lamprey, <i>Entosphenus</i> sp. (formally undescribed), and the Pit-Klamath Brook Lamprey, <i>E. lethophagus</i>. Species distribution models (SDMs) are useful for identifying key habitats; however, SDMs are subject to accuracy impairments caused by scale mismatches and spatial autocorrelation—both exacerbated by the hierarchical structure of dendritic stream networks. Our goal was to relate lamprey presence–absence to ecological drivers and predict the distribution of lampreys across the Goose Lake Basin. </p><p>Methods </p><p>Using a dataset pooling approach, we integrated count and presence–absence data from five surveys and relevant habitat variables from publicly available, geospatial datasets to build logistic regression models. To account for potential mismatches of scale, we compared three sample grains for slope and sinuosity (i.e., stream segment lengths: 250, 500, and 1,000 m), and two scales of elevation (site and watershed). We accounted for spatial autocorrelation by incorporating network-based and Euclidean spatial dependencies using a spatial stream network (SSN) modeling approach. Using the best-fit spatial and non-spatial models, we predicted basin-wide lamprey distribution. </p><p>Result </p><p>Flow, sinuosity at our largest sample grain (1,000 m), and watershed-scale elevation were positively associated with lamprey presence, whereas slope was negatively associated. The non-spatial model predicted lamprey presence among sinuous, low-gradient streams, whereas the spatial model, which identified Euclidean and flow-connected spatial relationships, predicted contiguous patches with a high probability of occurrence near areas with previously observed presences.</p><p>Conclusions</p><p><span>Our study revealed ecological relationships and produced an accurate basinwide SDM. Prediction and inference improved after accounting for spatial relationships across multiple scales. Developing accurate and efficient modeling strategies that incorporate the hierarchical structure inherent to stream ecosystems aids in the management and conservation of native fishes such as lampreys.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf017","usgsCitation":"Dickey, J., Clemens, B.J., Dumelle, M., and Davis, M.J., 2025, Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system: Transactions of the American Fisheries Society, v. 154, no. 3, p. 322-338, https://doi.org/10.1093/tafafs/vnaf017.","productDescription":"17 p.","startPage":"322","endPage":"338","ipdsId":"IP-170580","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504380,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12180746/","text":"External Repository"},{"id":486248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Dickey, Jacob C.","contributorId":350824,"corporation":false,"usgs":false,"family":"Dickey","given":"Jacob C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":937699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumelle, Michael 0000-0002-3393-5529","orcid":"https://orcid.org/0000-0002-3393-5529","contributorId":355601,"corporation":false,"usgs":false,"family":"Dumelle","given":"Michael","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":937701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":937702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"supersededBy":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"lastModifiedDate":"2025-11-26T14:27:45.5494","indexId":"70266474","displayToPublicDate":"2025-05-06T08:30:40","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","docAbstract":"<p><span>Bayesian hierarchical models are ubiquitous in ecology. Random effect model structures are often employed that treat individual effects as deviations from larger population-level effects. In this way individuals are assumed to be \"exchangeable\" samples. Ecologists may address this exchangeability assumption intuitively, but might in certain modeling contexts ignore it altogether, including in situations where it may have large implications for study design. Multispecies occupancy models based on detection/non-detection data are an approach that can be utilized by those tasked with monitoring rare and endangered species because most literature suggests that, compared to single species occupancy models, improved parameter estimates are assured. Yet, we illustrate through a power analysis how sampling requirements to detect experimental treatment effects vary tremendously depending on whether the species exchangeability assumption is met. The degree to which species in a community respond similarly to covariates governs the ability to accurately estimate parameters using multispecies occupancy models. Detecting small or moderate changes in occupancy resulting from habitat restoration treatments may be impossible for small datasets (e.g., &lt; 36 sampling locations, each surveyed &lt; 8 times) even with a paired treatment-control design if the exchangeability assumption is violated. By contrast, when the assumption is met, small effects may be confidently estimated with as few as 12 sampling locations (6 pairs) and 6-8 survey events. Often, it may be impossible to know whether the exchangeability assumption is met. The statistical power needed to accurately estimate species-specific effects using detection/non-detection multispecies occupancy models depends on the unknown values of treatment effects and whether responses by species in the community diverge. When the species exchangeability assumption is violated, and at lower levels of sampling effort, multispecies occupancy models may provide worse inference than single species occupancy models.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.04.30.651473","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design: BioRxiv, preprint posted May 06, 2025, https://doi.org/10.1101/2025.04.30.651473.","productDescription":"31 p.","ipdsId":"IP-176524","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488154,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.04.30.651473","text":"Publisher Index Page"},{"id":485549,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":274356,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266908,"text":"70266908 - 2025 - Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales","interactions":[],"lastModifiedDate":"2025-05-15T14:57:48.182492","indexId":"70266908","displayToPublicDate":"2025-05-06T07:52:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales","docAbstract":"<p><span>A series of gold tube pyrolysis experiments (72&nbsp;h, 300–550&nbsp;°C, 50&nbsp;MPa) conducted on a graptolite-rich lower Paleozoic marine shale generated pyrolysis residues for a comprehensive evaluation of the molecular and structural variability of three types of graptolite periderm. Organic petrology, Raman spectroscopy, and field emission scanning electron microscopy (FE-SEM) with energy dispersive spectroscopy (EDS) were combined to evaluate the thermal evolution process. The three types of graptolite periderm, namely granular, non-granular, and nodular graptolite, were analyzed by Raman spectroscopy wherein point measurements were obtained after the maceral was identified and the location verified by organic petrology. Distinct thermal evolution pathways among non-granular, granular, and nodular graptolite periderms were recorded. The evolution patterns of the Raman parameters, particularly D1 and G bands, highlight the differences in geochemical composition of the graptolite periderm types and the alteration of molecular structure with increasing thermal maturity. Raman parameters D1 (position of the D1 peak), G-FWHM (full width at half maximum of the G peak), and ratios D1-FWHM/G-FWHM (full width at half maximum of the D1 peak ratioed to G-FWHM) and A</span><sub>D1</sub><span>/A</span><sub>G</sub><span>&nbsp;(ratio of D1 and G peak intensities) showed effectiveness in assessing thermal maturity. Bireflectance with increasing gold tube pyrolysis temperature followed a hierarchy: non-granular &gt; granular &gt; nodular, reflecting different molecular alignment intensities. Qualitative FE-SEM evaluation showed that fine-grained mineral inclusions (primarily Fe-sulfide as determined via EDS) were associated with the graptolite populations, with granular graptolite containing greater amounts of coarser-grained (e.g., ∼300–1400&nbsp;nm) mineral inclusions relative to non-granular and nodular graptolite, which contain finer-grained (e.g., ∼100–200&nbsp;nm) inclusions difficult to resolve with optical microscopy. These findings are investigated to highlight the mechanisms that drive organic matter evolution within graptolite during thermal maturation, as well as to explore some of the limitations of using spectroscopic parameters as thermal maturity proxies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2025.104793","usgsCitation":"Zheng, X., Sanei, H., Jiang, F., Luo, Q., Wang, Y., Nedzweckas, J., Valentine, B.J., Stokes, M., Cao, L., and Hackley, P.C., 2025, Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales: International Journal of Coal Geology, v. 306, 104793, 11 p., https://doi.org/10.1016/j.coal.2025.104793.","productDescription":"104793, 11 p.","ipdsId":"IP-173851","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":485993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zheng, Xiaowei","contributorId":355198,"corporation":false,"usgs":false,"family":"Zheng","given":"Xiaowei","affiliations":[{"id":84727,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, China","active":true,"usgs":false}],"preferred":false,"id":937105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanei, Hamed","contributorId":168753,"corporation":false,"usgs":false,"family":"Sanei","given":"Hamed","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":937106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Fujie","contributorId":355199,"corporation":false,"usgs":false,"family":"Jiang","given":"Fujie","affiliations":[{"id":84727,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, China","active":true,"usgs":false}],"preferred":false,"id":937107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luo, Qingyong","contributorId":330835,"corporation":false,"usgs":false,"family":"Luo","given":"Qingyong","affiliations":[{"id":79043,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), China","active":true,"usgs":false}],"preferred":false,"id":937108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yewei","contributorId":306249,"corporation":false,"usgs":false,"family":"Wang","given":"Yewei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":937109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nedzweckas, Jennifer 0000-0001-5838-3110","orcid":"https://orcid.org/0000-0001-5838-3110","contributorId":330863,"corporation":false,"usgs":true,"family":"Nedzweckas","given":"Jennifer","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":937110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources 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phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":937114,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266328,"text":"sir20255030 - 2025 - Methodology for defining and compiling abandoned and active hydrocarbon well inventories","interactions":[],"lastModifiedDate":"2025-05-27T16:04:41.799878","indexId":"sir20255030","displayToPublicDate":"2025-05-05T13:15:00","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":"2025-5030","displayTitle":"Methodology for Defining and Compiling Abandoned and Active Hydrocarbon Well Inventories","title":"Methodology for defining and compiling abandoned and active hydrocarbon well inventories","docAbstract":"<p>Hydrocarbon wells are not active forever; when they become permanently disused (abandoned), well infrastructure must be remediated or repurposed. Knowing which wells are abandoned is the initial and often complicated step in taking responsibility for well infrastructure. Each State creates laws and regulates hydrocarbon operations, which includes well abandonment. The existence of multiple regulating authorities means definitions of abandonment are mostly found in legal documents are broadly defined or other terms are used. This report presents a technical approach to defining hydrocarbon well abandonment using well production data and identifies abandoned hydrocarbon wells using the new definition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255030","programNote":"Energy Resources Program","usgsCitation":"Varela, B.A., and Buursink, M.L., 2025, Methodology for defining and compiling abandoned and active hydrocarbon well inventories: U.S. Geological Survey Scientific Investigations Report 2025–5030, 7 p., https://doi.org/10.3133/sir20255030.","productDescription":"iii, 7 p.","onlineOnly":"Y","ipdsId":"IP-163767","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485406,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255030/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-5030"},{"id":485403,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5030/sir20255030.xml"},{"id":485852,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118566.htm","linkFileType":{"id":5,"text":"html"}},{"id":485402,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5030/images"},{"id":485353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5030/sir20255030.pdf","text":"Report","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-5030"},{"id":485352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5030/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Data Considerations</li><li>Methods</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-05-05","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":935645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":935646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266399,"text":"70266399 - 2025 - Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","interactions":[],"lastModifiedDate":"2025-05-06T15:22:14.58738","indexId":"70266399","displayToPublicDate":"2025-05-05T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","docAbstract":"<p><span>Mauna Loa is one of the largest and most active volcanoes on Earth. The most recent eruption of Mauna Loa started on 27 November 2022, lasted for 13&nbsp;days, and was preceded by the longest repose time of 38&nbsp;years in its modern history. In this contribution, new trace- and highly siderophile-element (HSE: Os, Ir, Ru, Pt, Pd, Re) abundances,&nbsp;</span><sup>187</sup><span>Re-</span><sup>187</sup><span>Os, and&nbsp;</span><sup>18</sup><span>O/</span><sup>16</sup><span>O data are reported for the 2022 lavas. These lavas have a limited range of MgO (6.2 ± 0.1 wt.%) and Ni (83 ± 2&nbsp;µg/g), with a broader range of Re (0.3 to 1.3&nbsp;ng/g) and consistent Os (0.031 to 0.080&nbsp;ng/g) contents. They have&nbsp;</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os ratios (0.1345 to 0.1385) which are, on average, more radiogenic than Mauna Loa picrites (0.1331 to 0.1349) and are similar in composition to more differentiated Mauna Loa tholeiite lavas (0.1340 to 0.1381). The oxygen isotope compositions of glassy samples are 5.35 ± 0.15‰ (</span><i>n</i><span> = 13) and span a range in δ</span><sup>18</sup><span>O of + 5.0 to + 5.5‰, with an average composition 0.2 to 0.3‰ lower than MORB. The δD value is − 81 ± 11‰ (</span><i>n</i><span> = 5) at very low (0.03 ± 0.015 wt.%) H</span><sub>2</sub><span>O concentrations. The 2022 Mauna Loa eruption is similar in terms of δ</span><sup>18</sup><span>O but contrasts in terms of&nbsp;</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os variability, with the recent longer-lived eruptions on La Palma (Canary Islands; 85&nbsp;days) in 2021 and on the Reykjanes Peninsula (Iceland) that began in 2021 and are still ongoing. Initial lavas were more fractionated for both the Canary Islands and Iceland eruptions, producing more radiogenic Os isotope compositions than later erupted products. The 2022 Mauna Loa eruption showed no such trends. The limited range in isotope compositions of the 2022 Mauna Loa lavas and their strongly fractioned HSE patterns reflect long-term storage, crystal fractionation, and assimilation of related basaltic volcanic edifice materials by the parent magma beneath the volcano prior to eruption triggering. Eruption of differentiated and homogeneous tholeiite lavas at the summit caldera and high on the volcano’s flank, with emplacement of accumulative picrites lower on the volcano, are consistent with neutral buoyancy arguments.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01825-0","usgsCitation":"Rhoads, E., Kutyrev, A., Bindeman, I.N., Lynn, K.J., Trusdell, F., Downs, D.T., Edwards, H., Cook, G., and Day, J., 2025, Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage: Bulletin of Volcanology, v. 87, 38, 19 p., https://doi.org/10.1007/s00445-025-01825-0.","productDescription":"38, 19 p.","ipdsId":"IP-169680","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01825-0","text":"Publisher Index 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James M.D.","contributorId":354545,"corporation":false,"usgs":false,"family":"Day","given":"James M.D.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935836,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70269014,"text":"70269014 - 2025 - Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations","interactions":[],"lastModifiedDate":"2025-08-04T15:59:09.153762","indexId":"70269014","displayToPublicDate":"2025-05-05T09:24:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations","docAbstract":"<p><span>Prey species adjust their behavior along human-use gradients by balancing risks from predators and humans. During hunting seasons, prey often exhibit strong antipredator responses to humans but may develop tolerance in suburban areas to exploit human-mediated resources. Additionally, areas with high human activity may offer reduced predation risk if apex predators avoid such locations. This study examined mule deer&nbsp;</span><i>Odocoileus hemionus</i><span>&nbsp;behavioral responses to risks from humans and their primary predators, cougars&nbsp;</span><i>Puma concolor</i><span>, contextualized by differences in risk levels between study sites, individual risk exposure, and human habituation. We framed our investigation using three non-mutually exclusive hypotheses: (H1) neutral impact, (H2) human shielding (human tolerance driven by cougar avoidance), and (H3) super-additive risk (human avoidance dominating behavior). We controlled for deer phenology and diel period, recognizing that deer behavior varies with these temporal dynamics. Spatiotemporal cougar encounter risk was quantified using GPS collar data, while spatiotemporal human encounter risk and use intensity were quantified using GPS smartphone data. Our results supported H2 and H3, emphasizing the significance of site- and individual-level variation in risk exposure and human use intensity. Deer managed cougar risk adaptively, but humans emerged as the dominant perceived risk, varying by study site. At the site with higher cougar density and lower human hunting pressure, deer exhibited antipredator responses to humans based on individual exposure to human activity, except during hunting season, when tolerance for cougars increased. Conversely, humans were the dominant risk at the site with lower cougar density and greater human hunting pressure. Deer behavior varied significantly across a gradient of human use, influenced by nuanced human presence and predation risks, which were discernible using human smartphone data.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.07626","usgsCitation":"Abernathy, H., Dittmer, M., Stoner, D., Kent Hersey, Schoenecker, K., Jackson, P., Engebretsen, K., Young, J., and Wittemyer, G., 2025, Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations: Ecography, v. 2025, no. 8, e07626, 16 p., https://doi.org/10.1002/ecog.07626.","productDescription":"e07626, 16 p.","ipdsId":"IP-167773","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492206,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492489,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Kristin","contributorId":357969,"corporation":false,"usgs":false,"family":"Engebretsen","given":"Kristin","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":942915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Julie","contributorId":357970,"corporation":false,"usgs":false,"family":"Young","given":"Julie","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":942916,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wittemyer, George","contributorId":357971,"corporation":false,"usgs":false,"family":"Wittemyer","given":"George","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942917,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70268080,"text":"70268080 - 2025 - Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","interactions":[],"lastModifiedDate":"2025-09-22T15:19:55.957196","indexId":"70268080","displayToPublicDate":"2025-05-05T09:19:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3531,"text":"Terra Nova","active":true,"publicationSubtype":{"id":10}},"title":"Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","docAbstract":"<p><span>Pressure–temperature–time-deformation histories provide key constraints on orogenic processes but can be affected by later overprinting. This is exemplified in the Proterozoic orogenic belts of southwestern Laurentia where competing tectonic models involve either a single progressive Mesoproterozoic event, the Picuris orogeny, or a polyorogenic history that also includes the ~1.65 Ga Mazatzal orogeny. We address this controversy with structural analysis and petrochronology in the type locality of the Picuris orogeny. Xenotime and monazite domains associated with the greenschist-facies axial planar fabric of early F</span><sub>1</sub><span>&nbsp;folds yield 1644 ± 11 Ma (xenotime) and 1641 ± 15 Ma (monazite) ages and 450°C–482°C temperatures recording metamorphism and shortening associated with the Mazatzal orogeny. This Palaeoproterozoic greenschist-facies assemblage was overprinted by higher grade, protracted (1470–1350 Ma) tectonism that included the Picuris orogeny. Our results document the complex polyphase crustal assembly of Laurentia and highlight how petrochronology can effectively see through higher grade overprints to identify a more complete orogenic evolution.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ter.12778","usgsCitation":"Hillenbrand, I.W., Williams, M., Gilmer, A.K., Karlstrom, K.E., Jercinovic, M.J., and Young, D., 2025, Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico: Terra Nova, v. 37, no. 5, p. 304-315, https://doi.org/10.1111/ter.12778.","productDescription":"12 p.","startPage":"304","endPage":"315","ipdsId":"IP-172431","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.85,\n              36.308\n            ],\n            [\n              -105.85,\n              36.1667\n            ],\n            [\n              -105.6333,\n              36.1667\n            ],\n            [\n              -105.6333,\n              36.308\n            ],\n            [\n              -105.85,\n              36.308\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Michael L","contributorId":356814,"corporation":false,"usgs":false,"family":"Williams","given":"Michael L","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":940154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":940157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Daniel J","contributorId":356815,"corporation":false,"usgs":false,"family":"Young","given":"Daniel J","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267285,"text":"70267285 - 2025 - Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification","interactions":[],"lastModifiedDate":"2025-05-20T14:09:13.655275","indexId":"70267285","displayToPublicDate":"2025-05-05T09:05:07","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification","docAbstract":"<p><span>The International Union for Conservation of Nature (IUCN) sets global conservation standards, including the Red List of Threatened Species and the Green Status of Species. Recent analyses showed that genetic diversity has not been effectively considered by IUCN species assessments, despite being fundamental to species’ fitness and adaptive potential. Incorporation of genetic diversity into IUCN assessments can support its successful long-term conservation. To enhance the preservation of genetic diversity, assessments should include genetically meaningful within-species units. Subpopulations are recognized units by the IUCN for protecting natural connectivity, however infrequently evaluated. Evolutionarily Significant Units (ESUs) are currently not recognized as a formal unit by the IUCN. However, incorporating ESUs into conservation frameworks could significantly enhance our capacity to identify and protect adaptive genetic diversity. To facilitate inclusion of these units in IUCN assessments, we outline a widely applicable framework for their identification that uses non-molecular and molecular data for global accessibility.</span></p>","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2RK9Q","usgsCitation":"Geue, J.C., Bertola, L.D., Bloomer, P., Bruniche-Olsen, A., da Silva, J.M., DeWoody, J., Fedorca, A., Godoy, J.A., Grueber, C.E., Hunter, M., Hvilsom, C., Russo, I.M., Jensen, E.L., Kopatz, A., MacDonald, A.J., Pérez-Espona, S., Piaggio, A.J., Pierson, J., Senn, H., Segelbacher, G., Sunnucks, P., van Oosterhout, C., and Leigh, D.M., 2025, Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification: EcoEvoRxiv, preprint posted May 05, 2025, https://doi.org/10.32942/X2RK9Q.","productDescription":"64 p.","ipdsId":"IP-175610","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2rk9q","text":"Publisher Index Page"},{"id":486208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Geue, Julia C. 0000-0002-1038-8614","orcid":"https://orcid.org/0000-0002-1038-8614","contributorId":343901,"corporation":false,"usgs":false,"family":"Geue","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":82252,"text":"Biology Department, Trent University \nPeterborough, Canada","active":true,"usgs":false}],"preferred":false,"id":937594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertola, Laura D.","contributorId":239924,"corporation":false,"usgs":false,"family":"Bertola","given":"Laura","email":"","middleInitial":"D.","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":937595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloomer, Paulette","contributorId":239925,"corporation":false,"usgs":false,"family":"Bloomer","given":"Paulette","email":"","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":937596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruniche-Olsen, Anna 0000-0002-3364-2064","orcid":"https://orcid.org/0000-0002-3364-2064","contributorId":333554,"corporation":false,"usgs":false,"family":"Bruniche-Olsen","given":"Anna","email":"","affiliations":[{"id":79924,"text":"Section for Computational and RNA Biology, Department of Biology, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":937597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"da Silva, Jessica M.","contributorId":290139,"corporation":false,"usgs":false,"family":"da Silva","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":62352,"text":"South African National Biodiversity Institute, Kirstenbosch Research Centre, Rhodes Drive, Private Bag X7, 7735 Cape Town, South Africa","active":true,"usgs":false}],"preferred":false,"id":937598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWoody, J. Andrew","contributorId":340886,"corporation":false,"usgs":false,"family":"DeWoody","given":"J. Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":937599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fedorca, Ancuta 0000-0001-5828-5422","orcid":"https://orcid.org/0000-0001-5828-5422","contributorId":343900,"corporation":false,"usgs":false,"family":"Fedorca","given":"Ancuta","email":"","affiliations":[{"id":82251,"text":"Department of Wildlife, National Institute for Research and Development in Forestry “Marin Dracea”, Closca 13, Brasov, Romania","active":true,"usgs":false}],"preferred":false,"id":937600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godoy, Jose A.","contributorId":290142,"corporation":false,"usgs":false,"family":"Godoy","given":"Jose","email":"","middleInitial":"A.","affiliations":[{"id":62356,"text":"Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, E-41092, Spain","active":true,"usgs":false}],"preferred":false,"id":937601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grueber, Catherine E.","contributorId":239927,"corporation":false,"usgs":false,"family":"Grueber","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":48055,"text":"School of Life and Environmental Sciences, Faculty of Science, The University of Sydney","active":true,"usgs":false}],"preferred":false,"id":937602,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214948,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":937603,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hvilsom, 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University","active":true,"usgs":false}],"preferred":false,"id":937605,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kopatz, Alexander","contributorId":248412,"corporation":false,"usgs":false,"family":"Kopatz","given":"Alexander","email":"","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":937606,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"MacDonald, Anna J.","contributorId":260834,"corporation":false,"usgs":false,"family":"MacDonald","given":"Anna","email":"","middleInitial":"J.","affiliations":[{"id":52688,"text":"The Australian National University, John Curtin School of Medical Research and Research School of Biology, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":937607,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pérez-Espona, 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,{"id":70268088,"text":"70268088 - 2025 - Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas","interactions":[],"lastModifiedDate":"2025-06-12T15:01:11.467488","indexId":"70268088","displayToPublicDate":"2025-05-05T07:51:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas","docAbstract":"<p><span>Wildlife conservation around protected areas is critical and costly, yet its beneficiaries—particularly protected area visitors who enjoy viewing wide-ranging wildlife—rarely contribute towards landscape-scale conservation. We characterize the importance of wildlife viewing in two U.S. protected areas: Yellowstone and Grand Teton National Parks. We surveyed park visitors (</span><i>N</i><span> = 991) and used the travel cost method to test whether changes in the viewing experience would justify support for visitor-funded conservation. We find that benefits from wildlife viewing are substantial and dependent on protecting wide-ranging species and maintaining their abundance. Large carnivores, particularly grizzly bears, are especially important to wildlife viewers, who are willing to pay more to visit the parks by about 50%. Additionally, we gauged support for three conservation fundraising mechanisms within parks: a mandatory fee, a voluntary fund, and a tax on goods and services. Overall, we find that species population declines could have a greater effect on visitation than that from imposing conservation costs onto visitors, which visitors largely support regardless of income or politics. Our results demonstrate tradeoffs between maintaining visitor experience quality and protected area visitation, with a potential win-win for conservation beneficiaries to contribute towards action at a scale necessary for biodiversity protection.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70051","usgsCitation":"Flint, H.B., Enriquez, A.J., Bennett, D., Richardson, L., and Middleton, A., 2025, Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas: Conservation Science and Practice, v. 7, no. 6, e70051, 11 p., https://doi.org/10.1111/csp2.70051.","productDescription":"e70051, 11 p.","ipdsId":"IP-157844","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70051","text":"Publisher Index Page"},{"id":490515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.05566890277504,\n              45.04322153561924\n            ],\n            [\n              -111.05566890277504,\n              42.63727140232976\n            ],\n            [\n              -108.69188793988411,\n              42.63727140232976\n            ],\n            [\n              -108.69188793988411,\n              45.04322153561924\n            ],\n            [\n              -111.05566890277504,\n              45.04322153561924\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Hilary Byerly","contributorId":296733,"corporation":false,"usgs":false,"family":"Flint","given":"Hilary","email":"","middleInitial":"Byerly","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":940172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Drew","contributorId":356818,"corporation":false,"usgs":false,"family":"Bennett","given":"Drew","affiliations":[{"id":85244,"text":"Haub School of Environment and Natural Resources, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":940174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":940175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Arthur","contributorId":288504,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":940176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266471,"text":"70266471 - 2025 - Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes","interactions":[],"lastModifiedDate":"2025-05-07T18:42:39.895388","indexId":"70266471","displayToPublicDate":"2025-05-04T13:38:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes","docAbstract":"<p><span>Snowpacks are an important water source for mountainous rivers, worldwide. The timing and volume of streamflow in systems reliant on snowmelt can be affected by changes in snow accumulation and melt time. In the Cascade Range (western USA), seasonal snowpacks are predicted to decrease by over 50% within the next century. During the last decade, Cascade Range snowpacks have varied between 17% and 150% of the median 1981–2023 peak snowpack values. To understand how snowpack variation could affect Willamette River streamflow, we monitored water stable isotopes over 13 years from two sites on the mainstem and 60 streams draining small catchments across the Willamette River Basin. Small catchment water stable isotope values integrated and dampened variation in precipitation isotopes and varied with elevation, providing a marker for determining the mean elevation from which streamflow in the Willamette River was derived. During winter, while snow accumulates in the mountains, most streamflow in the Willamette River originates from rainfall at lower elevations. During summer low-flow conditions, most streamflow in the river was derived from winter snow that accumulated at elevations above 1200 m, which represents &lt; 12% of the Willamette River Basin area. Peak snow water equivalent from the previous winter was positively correlated with the proportion of Willamette River streamflow derived from &gt; 1200 m during the summer low-flow period, but both high elevation (&gt; 1200 m) precipitation and temperature trends explained nearly as much variance as snow water equivalent. However, after accounting for climate trends, the estimated amount of high-elevation streamflow in the Willamette River during summer low-flow has decreased over the past 13 years. Improved understanding of the origin of, and trends in, summer streamflow in the Willamette River will aid in reconciling human demands with biological instream requirements during periods of low snowpack.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70136","usgsCitation":"Brooks, J.R., Johnson, H.M., Johnson, K., Cline, S., Comeleo, R., Rugh, W., and Trine, L., 2025, Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes: Hydrological Processes, v. 39, no. 5, e70136, 16 p., https://doi.org/10.1002/hyp.70136.","productDescription":"e70136, 16 p.","ipdsId":"IP-172923","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":504383,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12181979/","text":"External Repository"},{"id":485517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.95523621449394,\n              45.86142450803834\n            ],\n            [\n              -123.81476990715908,\n              44.89596823269312\n            ],\n            [\n              -123.72977022633785,\n              43.74103690962323\n            ],\n            [\n              -123.07197402264748,\n              42.915774707124\n            ],\n            [\n              -122.07756499909124,\n              42.658344639098516\n            ],\n            [\n              -121.39018022281371,\n              43.76496540434982\n            ],\n            [\n              -121.33327288435316,\n              44.70946434908879\n            ],\n            [\n              -121.72513456164276,\n              45.32271768048014\n            ],\n            [\n              -122.32368441902653,\n              45.52334782078054\n            ],\n            [\n              -122.66134858778295,\n              45.556744965138535\n            ],\n            [\n              -122.95523621449394,\n              45.86142450803834\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, J. Renee","contributorId":176587,"corporation":false,"usgs":false,"family":"Brooks","given":"J.","email":"","middleInitial":"Renee","affiliations":[],"preferred":false,"id":936062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Keira R.","contributorId":354644,"corporation":false,"usgs":false,"family":"Johnson","given":"Keira R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":936064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cline, Steven P.","contributorId":354645,"corporation":false,"usgs":false,"family":"Cline","given":"Steven P.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comeleo, Randy","contributorId":217974,"corporation":false,"usgs":false,"family":"Comeleo","given":"Randy","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":936066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rugh, WIlliam","contributorId":354646,"corporation":false,"usgs":false,"family":"Rugh","given":"WIlliam","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trine, Lisandra","contributorId":354647,"corporation":false,"usgs":false,"family":"Trine","given":"Lisandra","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936068,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273074,"text":"70273074 - 2025 - Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","interactions":[],"lastModifiedDate":"2025-12-12T18:40:08.446372","indexId":"70273074","displayToPublicDate":"2025-05-04T11:33:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Intensive agriculture in the Prairie Pothole Region of Iowa, USA has resulted in significant wetland drainage and wildlife population declines. However, easement programs are increasingly used to protect and restore wetlands and revitalize biodiversity. Short-term responses (i.e., 1–5 years) of birds to wetland restorations are well-documented, but long-term trends are less understood. We surveyed wetland easements in Iowa during 2007–2009 and 2022–2023 to assess changes in breeding bird communities and occupancy for conservation-priority species. We conducted bird point counts and vegetation surveys at 55 wetland easements. We used species accumulation curves to estimate overall breeding bird richness by guild, and site-occupancy models to estimate occupancy for 20 conservation-priority species. Species richness remained stable between time periods, but community composition shifted, with fewer grassland and more forest bird species despite no change in woody vegetation cover estimates (2007–2009: 3.2%, standard deviation [SD] = 5.9; 2022–2023: 3.1%, SD = 3.8). Occupancy for most species at wetland easements remained stable over time; however, 4 species declined (e.g.,&nbsp;</span><i>Cistothorus stellaris</i><span>&nbsp;[Sedge Wren]). Six grassland bird species (e.g.,&nbsp;</span><i>Sturnella magna</i><span>&nbsp;[Eastern Meadowlark]) exhibited positive or stable occupancy trends. Forest-dependent species generally maintained or increased in occupancy (e.g.,&nbsp;</span><i>Icterus galbula</i><span>&nbsp;[Baltimore Oriole]). Increased forest bird richness despite stable woody vegetation cover may indicate changing structural characteristics as existing forests mature, whereas management to control woody encroachment at wetland easements may explain our observations of stable forest bird occupancy. Wetland easements may be strongholds for some grassland bird species, which are in precipitous decline across North America. Our study highlights the importance of wetland easements in an agricultural landscape to breeding bird communities and emphasizes the value of continued monitoring to track changes over time.</span></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf034","usgsCitation":"Gapinski, L.A., Kinkead, K.E., Janke, A.K., Dinsmore, S.J., Bishop, T., and Tucker, A.M., 2025, Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements: Ornithological Applications, v. 127, no. 3, duaf034, 15 p., https://doi.org/10.1093/ornithapp/duaf034.","productDescription":"duaf034, 15 p.","ipdsId":"IP-169149","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf034","text":"Publisher Index Page"},{"id":497497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.75770786982824,\n              43.54695571723664\n            ],\n            [\n              -95.75770786982824,\n              40.01246322199273\n            ],\n            [\n              -91.52690414553632,\n              40.01246322199273\n            ],\n            [\n              -91.52690414553632,\n              43.54695571723664\n            ],\n            [\n              -95.75770786982824,\n              43.54695571723664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gapinski, Lindsey A.W.","contributorId":364117,"corporation":false,"usgs":false,"family":"Gapinski","given":"Lindsey","middleInitial":"A.W.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinkead, Karen E.","contributorId":364120,"corporation":false,"usgs":false,"family":"Kinkead","given":"Karen","middleInitial":"E.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janke, Adam K.","contributorId":364123,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","middleInitial":"K.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinsmore, Stephen J.","contributorId":364126,"corporation":false,"usgs":false,"family":"Dinsmore","given":"Stephen","middleInitial":"J.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Todd","contributorId":364129,"corporation":false,"usgs":false,"family":"Bishop","given":"Todd","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":952245,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267823,"text":"70267823 - 2025 - Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","interactions":[],"lastModifiedDate":"2025-06-03T15:34:51.475791","indexId":"70267823","displayToPublicDate":"2025-05-04T08:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","docAbstract":"Eocene magmatic systems contemporaneous with world-class Carlin-type Au deposits in Nevada (USA) have been proposed by some researchers as a key ingredient for Au mineralization, though evidence conclusively demonstrating their genetic relationship remains tenuous. This study provides the first direct evidence of the pre-eruptive metal budget of volatile- and metal-charged silicic magmas coincident in time (~41 to 34 Ma) and space (within 5 km) with Carlin-type Au deposits. We characterize the pre-eruptive metal fingerprints of these diverse magmatic systems to assess their potential as sources of metals for Carlin-type Au mineralization. Metal abundances from quartz-hosted melt inclusions (Au, Te, Ag, Sb, Tl, Mo, W, Sn, As, Pb, Co, Cu, Ni, and Zn) characterized in situ by SHRIMP-RG and LA-ICP-MS represent our best (and only) estimates for the pre-eruptive metal budget in these systems. Median metal concentrations are generally within one order of magnitude of average upper crust and average continental rhyolite values. But there are two notable exceptions, with median Au contents extending >1 order of magnitude higher than average upper crust and median Cu contents ranging >1 order of magnitude lower than upper crust. Despite this, melts contain lower Au/Cu (<0.1), Au/Ag (<5), and Au/Tl (<0.3) than most ore-grade Carlin-type rock samples and quartz-hosted fluid inclusions, regardless of their age and timing relative to nearby Carlin-type Au mineralization. The metal fingerprints of these magmatic systems, de-fined both by traditional and multivariate compositional data analysis techniques, are distinct from one another. Yet none are particularly specialized, e.g., high Au/Cu, in terms of being ideal ingredients as postulated by magmatic models for Carlin-type Au mineralization. Magmatic Au contents do not appear to be correlated with rhyolite “flavors” in the way that Cu, Sn, and Nb contents are. Fluid/melt partitioning modeling and magma volume estimates support the idea that a diverse array of non-specialized silicic magmas could feasibly contribute some or potentially all of the Au, Ag, and Cu in Carlin-type systems. The compositional diversity among contemporaneous magmatic systems could possibly contribute to some of the diversity observed across Carlin-type Au districts in Nevada.","language":"English","publisher":"MDPI","doi":"10.3390/min15050479","usgsCitation":"Mercer, C.N., Babel, H., Mercer, C.M., and Hofstra, A.H., 2025, Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA: Minerals, v. 15, no. 5, 479, 29 p., https://doi.org/10.3390/min15050479.","productDescription":"479, 29 p.","ipdsId":"IP-170125","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490665,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min15050479","text":"Publisher Index Page"},{"id":490404,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWAW28","text":"USGS data release","linkHelpText":"Melt inclusion and mineral geochemical analyses supporting the evaluation of petrogenesis, degassing, and metallogenic potential of mid-Cenozoic rhyolite magmas in northern Nevada, USA (ver. 2.0, March 2025)"},{"id":489471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":939035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266466,"text":"70266466 - 2025 - Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","interactions":[],"lastModifiedDate":"2025-05-07T18:18:46.33843","indexId":"70266466","displayToPublicDate":"2025-05-03T11:14:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","docAbstract":"This work presents geomorphological analyses of an area at the boundary between Arcadia Planitia and northern Amazonis Planitia, situated in the northern mid-latitudes of Mars. Recent studies have indicated the presence of substantial volumes of near-surface excess ice in Arcadia Planitia, making this region a promising candidate for future human and robotic exploration. This study focuses on three specific candidate landing sites adjacent to the Arcadia Planitia: AP-1, AP-8, and AP-9. We have identified a wide range of ice-related morphologies, providing further evidence for the occurrence of excess ice in the study area. We have mapped and measured ∼9,000 thermal contraction polygons. We estimate ice beneath these polygons to be on the order of tens of cm from the surface, which is sufficiently shallow to be accessible for potential in situ resource utilization (ISRU). Recent impact craters that have been excavated into ice further suggest the presence of near-surface ice. Finally, the occurrence of ice and processes such as ice sublimation are likely responsible for the formation and subsequent modification of several observed features, including expanded craters, brain coral terrain, arcuate ridges, and thermal contraction polygons modified by sublimation. These results provide valuable insights into the ice distribution in the northern mid-latitudes and support the potential utilization of accessible ice resources for future human exploration efforts.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008724","usgsCitation":"Luzzi, E., Heldmann, J.L., Williams, K.E., Nodjoumi, G., Deutsch, A., and Sehlke, A., 2025, Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars: JGR Planets, v. 130, no. 5, e2024JE008724, 38 p., https://doi.org/10.1029/2024JE008724.","productDescription":"e2024JE008724, 38 p.","ipdsId":"IP-163826","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":490104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008724","text":"Publisher Index Page"},{"id":485515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Luzzi, Erica","contributorId":354637,"corporation":false,"usgs":false,"family":"Luzzi","given":"Erica","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldmann, Jennifer L.","contributorId":197096,"corporation":false,"usgs":false,"family":"Heldmann","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":936046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":936048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nodjoumi, Giacomo","contributorId":354639,"corporation":false,"usgs":false,"family":"Nodjoumi","given":"Giacomo","affiliations":[{"id":84644,"text":"Constructor University, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":936049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deutsch, Ariel","contributorId":354640,"corporation":false,"usgs":false,"family":"Deutsch","given":"Ariel","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sehlke, Alexander","contributorId":354638,"corporation":false,"usgs":false,"family":"Sehlke","given":"Alexander","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267407,"text":"70267407 - 2025 - Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","interactions":[],"lastModifiedDate":"2025-05-23T15:00:48.753331","indexId":"70267407","displayToPublicDate":"2025-05-03T09:42:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","docAbstract":"<p><span>Climate change in seasonally snow-covered mountain catchments is reducing water supply and decreasing streamflow predictability. Here, we use tritium age dating to show that contrary to the common assumption that&nbsp;snowmelt quickly contributes to runoff, streamflow during snowmelt in western US catchments is dominated by older groundwater. The average age of streamwater during snowmelt runoff (5.7 ± 4.3 years) was intermediate to the average age of groundwater (10.4 ± 4.5 years) and recent precipitation, indicating that 58% (±34%) of snowmelt runoff was derived from groundwater. Water ages, streamflow, and groundwater storage were mediated by bedrock geology: low-permeability hard rock/shale catchments exhibited younger ages, less storage, and more efficient streamflow generation than high-permeability sandstone/clastic catchments. Our results demonstrate that snowmelt runoff is the result of multiple prior years of climate mediated by groundwater storage. Including these interactions will be crucial for predicting water resources as climate and landscape&nbsp;changes accelerate.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02303-3","usgsCitation":"Brooks, P.D., Solomon, D., Kampf, S., Warix, S., Bern, C.R., Barnard, D., Barnard, H.R., Carling, G.T., Carroll, R., Chorover, J., Harpold, A., Lohse, K., Meza, F., McIntosh, J., Neilson, B., Sears, M., and Wolf, M., 2025, Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States: Communications Earth & Environment, v. 6, 341, 8 p., https://doi.org/10.1038/s43247-025-02303-3.","productDescription":"341, 8 p.","ipdsId":"IP-172013","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":487554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02303-3","text":"Publisher Index Page"},{"id":486506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western united States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.0181665891808,\n              48.94832156904479\n            ],\n            [\n              -125.33002798384842,\n              48.94832156904479\n            ],\n            [\n              -125.33002798384842,\n              31.337662810224828\n            ],\n            [\n              -104.0181665891808,\n              31.337662810224828\n            ],\n            [\n              -104.0181665891808,\n              48.94832156904479\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Paul D.","contributorId":139471,"corporation":false,"usgs":false,"family":"Brooks","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":12566,"text":"Department of Geology and Geophysics, Unviersity of Utah","active":true,"usgs":false}],"preferred":false,"id":938113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, D. 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,{"id":70266346,"text":"70266346 - 2025 - One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","interactions":[],"lastModifiedDate":"2025-05-05T14:19:08.992831","indexId":"70266346","displayToPublicDate":"2025-05-03T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","docAbstract":"<p><span>The rate of technological innovation within aquatic sciences outpaces the collective ability of&nbsp;individual scientists within the field to make appropriate use of those technologies. The process of in&nbsp;situ&nbsp;lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local&nbsp;scales; however, the impact of climate change on lakes necessitates the rapid advancement of understanding and the incorporation of lakes on both landscape and global scales. Three fields driving innovation within winter limnology that we address here are autonomous real-time in situ monitoring, remote sensing, and modeling. The recent progress in low-power in situ sensing and data telemetry allows continuous tracing of under-ice processes in selected lakes as well as the development of global lake observational networks. Remote sensing offers consistent monitoring of numerous systems, allowing limnologists to ask&nbsp;certain questions across large scales. Models are advancing and historically come in different types (process-based or statistical data-driven), with the recent technological advancements and integration of&nbsp;machine learning and hybrid process-based/statistical models. Lake ice modeling enhances our understanding of lake dynamics and allows for projections under future climate warming scenarios. To encourage the merging of technological innovation within limnological research of the less-studied winter period, we have accumulated both essential details on the history and uses of contemporary sampling, remote sensing, and modeling techniques. We crafted 100 questions in the field of winter limnology that aim to facilitate the cross-pollination of intensive and extensive modes of study to broaden knowledge of the winter period.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039042","usgsCitation":"Culpepper, J., Sharma, S., Gunn, G., Magee, M., Meyer, M.F., Anderson, E., Arp, C.D., Cooley, S., Dolan, W., Dugan, H., Duguay, C.R., Jones, B.C., Kirillin, G., Ladwig, R., Lepparanta, M., Long, D., Magnuson, J.J., Pavelsky, T., Piccolroaz, S., Robertson, D., Steele, B., Tom, M., Weyhenmeyer, G.A., Woolway, R., Xenopoulos, M., and Yang, X., 2025, One-hundred fundamental, open questions to integrate methodological approaches in lake ice research: Water Resources Research, v. 616, no. 5, e2024WR039042, 21 p., https://doi.org/10.1029/2024WR039042.","productDescription":"e2024WR039042, 21 p.","ipdsId":"IP-157843","costCenters":[{"id":318,"text":"Geosciences and Environmental Change 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