{"pageNumber":"24","pageRowStart":"575","pageSize":"25","recordCount":184569,"records":[{"id":70273375,"text":"70273375 - 2025 - Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI)","interactions":[],"lastModifiedDate":"2026-01-09T15:44:43.191562","indexId":"70273375","displayToPublicDate":"2025-12-01T09:35:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2025/367","title":"Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI)","docAbstract":"<p><span>Invasive Central American boas (<i>Boa imperator</i>) have established a reproducing population on the western side of St. Croix, U.S. Virgin Islands but prevalence throughout the island is largely unknown. The large snakes threaten endemic and endangered species through competition and predation, jeopardizing island biodiversity. Environmental DNA (eDNA) methods were used to investigate occurrence and focal areas for management efforts in the Salt River Bay National Historical Park and Ecological Preserve (SARI). To validate a previously developed assay, we collected tissue samples and 13 × 60 mL water samples from a captive boa enclosure in St. Croix. We implemented this assay for both a pilot and main field sampling effort. The pilot in December 2023 resulted in analysis of 7 × 60 mL water samples per site from SARI (3 sites) and from the western forests where boas are established (1 site). The main sampling event in July 2024 collected 15 × 60 mL water samples per site within SARI (11 sites) and western forests (4 sites). Pilot sample replicates were filtered individually, while main samples were consolidated into groups, resulting in seven replicates for pilot sites and five replicates for main event sites, totaling 103 environmental samples. eDNA was isolated using a modified phenol-chloroform isolation method to remove PCR inhibitors, and target eDNA was amplified using droplet digital PCR technology. Water samples from the captive boa amplified target eDNA in 12 of 13 samples, indicating assay effectiveness ex-situ. Low concentrations of eDNA (below the 95% limit of detection) were amplified in 4 of 5 sites in the western forest and in 8 of 14 sites within the National Historic Park. Overall, boa eDNA concentrations were consistently low, as expected in water samples targeting a semi-arboreal snake species with a low rate of eDNA shedding. Further optimization of methods could enable recovery of greater eDNA concentrations in future studies. Additional eDNA method testing and ground-truthing may help to improve the assessment of invasive <i>Boa imperator</i> in St. Croix.</span></p>","language":"English","publisher":"National Park Service","doi":"10.36967/2315977","usgsCitation":"Beaver, C., Tays, A.B., Santos, W.F., Harman, M.E., Ewen, K.A., Gwilliam, E.L., and Hunter, M., 2025, Environmental DNA monitoring of invasive Central American boas in St. Croix at Salt River Bay National Historical Park and Ecological Preserve (SARI): Science Report NPS/SR—2025/367, viii, 29 p., https://doi.org/10.36967/2315977.","productDescription":"viii, 29 p.","ipdsId":"IP-174727","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Salt River Bay National Historical Park and Ecological Preserve, St. Croix, U.S. Virgin Islands","geographicExtents":"{\n  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,{"id":70273727,"text":"70273727 - 2025 - Geothermal potential of orphan oil and gas wells","interactions":[],"lastModifiedDate":"2026-01-26T15:42:24.150439","indexId":"70273727","displayToPublicDate":"2025-12-01T09:34:07","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal potential of orphan oil and gas wells","docAbstract":"The United States is estimated to have hundreds of thousands of orphan oil and gas wells. Orphan wells are abandoned wells that are both unremediated and have no responsible operator. While traditionally considered environmental and economic liabilities, orphan oil and gas wells may offer new opportunities in sustainable geothermal energy development. This study evaluates the potential of repurposing orphan wells for geothermal energy production. We analyzed more than 1.4 million bottom-hole temperature (BHT) records from oil and gas well logs to create corrected temperature-depth profiles in a grid across the United States. Total depth values, where available, in documented orphan wells from a U.S. Geological Survey (USGS) database were then correlated to these temperature-depth profiles to estimate a corrected BHT for each orphan well. The orphan wells were then categorized as having low (<90°C), moderate (90–150°C), and high (>150°C) geothermal potential, identifying them as wells in the U.S. that could be used to access geothermal resources. In addition, repurposing these wells could contribute to broader environmental and economic goals, including well remediation, rogue methane emissions reduction, and energy production. This study provides a framework for integrating inactive well inventories with geothermal resource assessments and further highlights the potential for orphan wells to play a transformative role in expanding geothermal energy capacity in the United States.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., Merrill, M., Wiens, A.M., Haase, K., Gianoutsos, N.J., Lei, U.I., and Sullivan, P., 2025, Geothermal potential of orphan oil and gas wells, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1826-1833.","productDescription":"8 p.","startPage":"1826","endPage":"1833","ipdsId":"IP-180859","costCenters":[{"id":164,"text":"Central Energy Resources Science 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Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":205943,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":954454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lei, Uei I.","contributorId":365612,"corporation":false,"usgs":false,"family":"Lei","given":"Uei","middleInitial":"I.","affiliations":[{"id":87166,"text":"OWPO","active":true,"usgs":false}],"preferred":false,"id":954456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sullivan, Patrick","contributorId":348055,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954457,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272298,"text":"70272298 - 2025 - Preventing overfitting when using tree-based methods for mapping hydrothermal favorability","interactions":[],"lastModifiedDate":"2026-01-16T15:40:22.275487","indexId":"70272298","displayToPublicDate":"2025-12-01T09:32:29","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preventing overfitting when using tree-based methods for mapping hydrothermal favorability","docAbstract":"Ensemble tree-based algorithms are robust tools for estimating sparsely distributed resources with non-linear dependencies (e.g., hydrothermal systems). These algorithms naturally accommodate the threshold conditions necessary to enable and support hydrothermal systems (e.g., having sufficient heat and permeability) and are simpler than many other non-linear machine learning strategies (e.g., artificial neural networks), which is an advantage when working with few labeled examples from which to learn. In previous work, we used eXtreme Gradient Boosting (XGBoost) to produce regional prediction and uncertainty maps of hydrothermal favorability; however, recent studies suggest that, even when properly applied, XGBoost has some risk of overfitting when there are few labeled examples from which to learn.\n\nTo evaluate overfitting when constructing hydrothermal favorability maps with tree-based methods, we compare XGBoost with Extremely Randomized Trees (ExtraTrees), another ensemble tree-based algorithm that has the potential to underfit when using few labeled examples. We hold all other modeling parameters constant, resulting in two contrasting favorability maps of conventional geothermal resources for the Great Basin. Our results indicate that ExtraTrees demonstrably reduces overfitting compared with XGBoost. After considering overall performance, we conclude that ExtraTrees provides a more suitable modeling approach than XGBoost for the purposes of conventional hydrothermal resource assessments.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Mordensky, S.P., Burns, E., Lipor, J., and DeAngelo, J., 2025, Preventing overfitting when using tree-based methods for mapping hydrothermal favorability, <i>in</i> Using Earth to save the Earth, v. 49, p. 179-203.","productDescription":"25 p.","startPage":"179","endPage":"203","ipdsId":"IP-180956","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035236"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":950720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273143,"text":"70273143 - 2025 - Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","interactions":[],"lastModifiedDate":"2025-12-16T15:37:04.093312","indexId":"70273143","displayToPublicDate":"2025-12-01T09:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","docAbstract":"<p><span>World-class Carlin-type Au deposits hosted in sedimentary rock were formed when profuse Eocene silicic magmatism swept across northern Nevada in response to arc migration. Carlin-type Au deposits formed along with porphyry/skarn Cu-Mo-W-Au deposits, epithermal Ag-Au deposits, and distal disseminated Ag-Au deposits. But unlike these other Au-bearing deposits that have clear associations with igneous intrusions, Carlin-type ore deposits appear to have formed distant from concealed plutons, and their origin remains controversial. Despite decades of abundant geophysical, geochronological, and geochemical studies suggesting the involvement of magmas, concrete evidence for magmatic involvement is still lacking. Consequently, the involvement of contemporaneous igneous systems remains inferred based on age, proximity, and variable isotopic, geochemical, and geophysical clues. A recent synthesis of deposit models postulates that Carlin-type Au deposits are intrusion-related, but that the causative magmas reside deeper (∼6–12&nbsp;km) than in typical porphyry and peripheral systems (∼3–5&nbsp;km), meaning that Carlin-type deposits are perhaps more distal expressions of igneous intrusions. We investigate a collection of “suspect” magmatic systems over a ∼7&nbsp;m.y. timespan (∼41–34 Ma) that are contemporaneous with and near known Carlin-type ore deposits. We report results of a multifaceted array of in situ geochemical analyses (FTIR, EMP, SHRIMP-RG, LA-ICP-MS) of quartz-hosted melt inclusions, biotite, and quartz to better characterize the pre-eruptive characteristics of these magmas. We also report results of thermobarometry and thermodynamic phase equilibria modeling to help place constraints on magmatic reservoir depths and processes. Rather than a single “flavor” of silicic magma, we observe a surprisingly broad compositional spectrum of rhyolites, with one end of the spectrum exhibiting more arc-like (I-type) characteristics and the other end displaying more post-subduction, thick-crust extensional (A-type) characteristics. This broad compositional spectrum suggests a more complex picture of silicic crustal magmatism operating over a narrow span of time during slab rollback. Despite this spectrum, magmatic systems in this study are consistently ferroan and generally peraluminous, which we interpret as an expression of the relatively elevated geotherm at the time and incorporation of variable amounts of highly peraluminous metasedimentary crustal components. The silicic magma spectrum encompasses a range of mineralization associations, including subduction-related Cu-Mo-W-Au-Ag and post-subduction, thick-crust extensional rare-metal Mo-Sn-W-F-Be-Ag-Au, consistent with the prolific and diverse array of ore deposits that formed during this time. Carlin-type Au deposition appears to be associated with nearly the entire magmatic spectrum. This apparent indifference to silicic magma “flavor” would seem to imply that if magmas are involved in Carlin-type Au deposit genesis, they perhaps do not need to be compositionally specialized and/or possibly are only relevant as heat sources driving circulation to remobilize and redistribute metals.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9372","usgsCitation":"Mercer, C.N., Roberge, J., Khoury, R., and Hofstra, A.H., 2025, Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems: American Mineralogist, v. 110, no. 2, p. 1898-1918, https://doi.org/10.2138/am-2024-9372.","productDescription":"21 p.","startPage":"1898","endPage":"1918","ipdsId":"IP-097749","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120,\n              42\n            ],\n            [\n              -120,\n              38\n            ],\n            [\n              -114,\n              38\n            ],\n            [\n              -114,\n              42\n            ],\n            [\n              -120,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberge, Julie","contributorId":152268,"corporation":false,"usgs":false,"family":"Roberge","given":"Julie","email":"","affiliations":[{"id":18893,"text":"Instituto Politecnico Nacional, ESIA-Ticoman","active":true,"usgs":false}],"preferred":false,"id":952439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khoury, Regina Marie 0000-0003-2421-986X","orcid":"https://orcid.org/0000-0003-2421-986X","contributorId":294769,"corporation":false,"usgs":true,"family":"Khoury","given":"Regina Marie","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":952440,"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":952441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273724,"text":"70273724 - 2025 - Exploring Martian geothermal and liquid water potential with basin modeling","interactions":[],"lastModifiedDate":"2026-01-26T15:33:39.007527","indexId":"70273724","displayToPublicDate":"2025-12-01T09:27:01","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring Martian geothermal and liquid water potential with basin modeling","docAbstract":"<p>Assessing the potential for geothermal energy and liquid water presence in the Martian subsurface is crucial for future exploration and habitability studies. In this work, we employed comprehensive&nbsp;finite element model simulations adapted specifically for Martian conditions to estimate subsurface temperatures and the potential for liquid water at depth within Martian crater basins.&nbsp;Rock and fluid property values for basin fill were carefully adjusted to match Martian gravity, radiogenic heat generation, and compositional characteristics derived from rover analyses, Martian&nbsp;meteorite samples, and orbital spectroscopy data. Multiple modeling scenarios were explored to systematically evaluate end-member cases across critical variables such as heat flow, lithological&nbsp;composition, and average surface temperature. Sensitivity testing revealed that heat flow and average annual surface temperatures are the most important variables. Results were used in&nbsp;calculations based on a database of Martian craters to estimate the temperature of crater fill at depth. Our model results indicate significant potential for sustained liquid water in the subsurface&nbsp;within sedimentary deposits across a range of crater sizes and latitudes. They further suggest that viable geothermal reservoirs likely exist and are potentially accessible for future Martian missions&nbsp;seeking energy sources or exploring astrobiological hypotheses. This study provides a methodological framework for geothermal and hydrological assessments for the subsurface of&nbsp;Mars, contributing to ongoing planetary exploration strategies.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., French, K.L., Okubo, C., Pitman, J., Paxton, S.T., and Flaum, J.A., 2025, Exploring Martian geothermal and liquid water potential with basin modeling, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1526-1541.","productDescription":"16 p.","startPage":"1526","endPage":"1541","ipdsId":"IP-180860","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499005,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035310"}],"otherGeospatial":"Mars","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":954444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":954445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":954446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitman, Janet K. 0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":954447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954448,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954449,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272001,"text":"70272001 - 2025 - Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park","interactions":[],"lastModifiedDate":"2026-03-16T14:24:14.993784","indexId":"70272001","displayToPublicDate":"2025-12-01T09:14:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park","docAbstract":"<p>Mountain goats are an iconic, climate-sensitive species across their North American alpine range. Among its nearly complete complement of native wildlife, no single species embodies Glacier National Park (GNP) more than the mountain goat. They play an important role as an alpine food source for many of the park’s carnivores including wolverines, mountain lions, and grizzly bears. Mountain goats face many increasing threats, particularly at the southern extent of their range. These include changes in precipitation and temperature, shifts in forage and fire frequency and intensity, and rapidly increasing visitation and recreation. Although the high latitude and elevations of GNP offer refugia, the mountain goat population likely declined between 2008 and 2019 and may also have a smaller distribution. In Montana, many other native mountain goat populations are also declining or have disappeared entirely. Using a combination of staff and citizen scientists, we collected fecal pellets across GNP in Montana, USA, and adjoining Waterton Lakes National Park (WLNP) in Alberta, Canada, between 2019 and 2023. We used genotypes of 6 to 19 loci microsatellites to identify individuals and assess isolation by distance, genetic structure, and genetic diversity. We found no evidence of genetic structure and only limited isolation by distance. This suggests that mountain goats in GNP and WLNP can be considered a single population, so samples can be combined across the area to estimate a single population size. Genetic diversity was similar to recent mountain goat studies conducted in other regions; allelic richness was 3.54 and inbreeding coefficients (<i>F</i><sub>IS</sub>) ranged from 0.01–0.19, with values &gt;0.11 only in the Livingston Range in the northwest of the study area. The high <i>F</i><sub>IS</sub> in the Livingston Range suggests several closely related groups with little interchange, and perhaps a recent decrease in gene flow, both of which are consistent with a recent population decline in that area. We detected a high number of closely related individuals throughout our study area, consistent with the high adult survival, low reproductive success life history of goats, but also suggesting that we sampled much of the overall population.&nbsp;</p>","language":"English","publisher":"National Park Service","usgsCitation":"Graves, T., Stein, E., Dose, L.M., Crowhurst, R.S., Thomas, H., Epps, C.W., Found, R., Belt, J., and Biel, M., 2025, Evaluating mountain goat population structure in Glacier National Park and Waterton Lakes National Park, 23 p.","productDescription":"23 p.","ipdsId":"IP-175367","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501173,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2314005"}],"country":"Canada, United States","state":"Alberta, Montana","otherGeospatial":"Glacier National Park, Waterton Lakes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.65813170614295,\n              49.01864965992118\n            ],\n            [\n              -113.9402382048133,\n              49.21093114844521\n            ],\n            [\n              -114.19203574081646,\n              49.15606962898178\n            ],\n            [\n              -114.0684684314816,\n              49.0064161433462\n            ],\n            [\n              -114.47414223948681,\n              49.0064161433462\n            ],\n            [\n              -114.11742906348216,\n              48.46980034937002\n            ],\n            [\n              -113.865631527479,\n              48.4512474620191\n            ],\n            [\n     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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":949682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Eliza 0009-0009-1939-4971","orcid":"https://orcid.org/0009-0009-1939-4971","contributorId":361933,"corporation":false,"usgs":true,"family":"Stein","given":"Eliza","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":949683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dose, Lindsay M","contributorId":361935,"corporation":false,"usgs":false,"family":"Dose","given":"Lindsay","middleInitial":"M","affiliations":[{"id":27609,"text":"Contractor to USGS","active":true,"usgs":false}],"preferred":false,"id":949684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":949685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Heather","contributorId":361939,"corporation":false,"usgs":false,"family":"Thomas","given":"Heather","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epps, Clinton W.","contributorId":359530,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","middleInitial":"W.","affiliations":[{"id":85841,"text":"Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Nash Hall Room 104, Corvallis, OR, 97331, USA","active":true,"usgs":false}],"preferred":false,"id":949687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Found, Rob","contributorId":361942,"corporation":false,"usgs":false,"family":"Found","given":"Rob","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":949688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Belt, Jami","contributorId":177314,"corporation":false,"usgs":false,"family":"Belt","given":"Jami","affiliations":[],"preferred":false,"id":949689,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biel, Mark","contributorId":317264,"corporation":false,"usgs":false,"family":"Biel","given":"Mark","email":"","affiliations":[{"id":68985,"text":"GNP","active":true,"usgs":false}],"preferred":false,"id":949690,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273723,"text":"70273723 - 2025 - Potential for co-production of lithium and geothermal resources in the Gulf Coast","interactions":[],"lastModifiedDate":"2026-01-26T15:53:11.820202","indexId":"70273723","displayToPublicDate":"2025-12-01T09:13:50","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Potential for co-production of lithium and geothermal resources in the Gulf Coast","docAbstract":"<p>Lithium brine extractions and geothermal resource developments often are not economically viable as standalone projects, but they May become cost effective when the potential for both resources exist within the same reservoir. Subsurface datasets were analyzed to identify areas in the U.S. Gulf Coast region with potential for lithium brine and geothermal heat recovery. Temperature, lithium brine content, and reservoir quality data for thirty-four depositional units were evaluated using spatial analysis to interpret high-grade areas where both resources likely coexist. For sedimentary geothermal systems, potential resource areas are sorted by resource grade: as low temperature (&lt;90°C, direct use potential), moderate temperature (90–150°C, direct use and electricity generation), and high temperature (&gt;150°C, primarily electricity generation). Lithium resources were defined by Li lithium brine concentrations in parts per million (ppm): low potential (&lt;100ppm), moderate potential (100–200ppm), and high potential (&gt;200ppm). &nbsp;Reservoir quality affects the viability of both resources and is evaluated using interpreted lithofacies that describe the depositional environments of each unit. Using the results, a series of play fairway analysis maps were generated to support regional evaluations of lithium and geothermal resources and to identify areas of interest for detailed, prospect-scale studies.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., and Birdwell, J.E., 2025, Potential for co-production of lithium and geothermal resources in the Gulf Coast, <i>in</i> Using the Earth to save the Earth, v. 49, p. 410-418.","productDescription":"9 p.","startPage":"410","endPage":"418","ipdsId":"IP-180858","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499004,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035250"}],"country":"United States","state":"Alabama, Flroida, Georgia, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.52415578331033,\n              33.70981542560081\n            ],\n            [\n              -102.52415578331033,\n              24.00347152136203\n            ],\n            [\n              -79.56997834883599,\n              24.00347152136203\n            ],\n            [\n              -79.56997834883599,\n              33.70981542560081\n            ],\n            [\n              -102.52415578331033,\n              33.70981542560081\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954442,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273756,"text":"70273756 - 2025 - Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland","interactions":[],"lastModifiedDate":"2026-01-28T15:15:53.882062","indexId":"70273756","displayToPublicDate":"2025-12-01T09:10:37","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland","docAbstract":"<p>The Central and Eastern North American Grassland and Shrubland ecosystem may be increasingly shaped by intensifying drought and shifting seasonality. Rising temperatures and more variable precipitation, marked by longer dry spells, are projected to increase evapotranspiration and soil moisture deficits, and yield more frequent drought. At the same time, warming temperatures are projected to advance spring onset and extend the growing season. Drought may alter habitat structure by accelerating soil erosion, disrupting nutrient cycling, increasing physiological stress on plants, and reducing productivity. These changes are expected to shift community composition toward species adapted to water limitation and fluctuating resources, reducing much of the herbaceous cover that characterizes this ecosystem. Seasonal shifts may restructure habitat by altering phenology and f lowering dynamics, potentially increasing productivity but also heightening the risk of late-season frost damage. Community composition is expected to shift toward early-emerging species, particularly coolseason (C3) grasses, and species with phenological flexibility. Altered phenology may also lead to mismatches between plants and pollinators and increase pollinator competition at the beginning and end of the growing season, with potential consequences for reproduction. </p><p>Although these overarching stressors affect the entire ecosystem, their specific impacts likely vary with local habitat conditions. In the Central and Northern Tallgrass Prairie, which are historically firemaintained habitats dominated by a mix of warm-season (C4) and cool-season (C3) grasses and forbs, climate change may shift community composition by favoring deep-rooted forbs and established shrubs while displacing shallow-rooted species, including many native grasses. These changes, especially in the absence of fire, may promote woody encroachment and drive long-term community reassembly. In the Central Interior Acidic Open Glade and Barrens, characterized by shallow, drought-prone soils, climate change may reinforce xeric assemblages and reduce the abundance of mesic species. In the absence of f ire, shrubs rather than larger woody species, are more likely to increase, as water limitations constrain the establishment of trees. In the Eastern North American Ruderal Meadow and Shrubland, which lack native species richness and structural stability, disturbance-tolerant invaders may increasingly dominate. Drought and earlier springs are expected to reinforce early successional dynamics and further constrain the restoration potential of these already degraded habitats.</p><p> Across the region, invasive species, herbivory, and microbial and fungal communities are also expected to respond to climate change. Invasive plants with ruderal traits and flexible phenologies are likely to benefit from drought-driven disturbance, post-drought resource pulses, and longer, earlier growing seasons. These species often germinate and flower earlier than natives, gaining priority access to resources as seasonal timing shifts. Herbivory by increasing white-tailed deer (Odocoileus virginianus) populations is expected to intensify, particularly during drought, when plant defenses are weakened, and during extended growing seasons, which prolong forage availability. This selective browsing may contribute to declines in native forbs while indirectly promoting non-native grasses. Microbial and fungal communities, like plant communities, are likely vulnerable to both drought and shifting seasonality. Reduced soil moisture may suppress microbial activity and decomposition, while shifts in fungal community composition, particularly declines in arbuscular mycorrhizal fungi, may impair plant drought tolerance.</p><p> Adaptation strategies for the Central and Eastern North American Grassland and Shrubland may require managers to anticipate and respond to these changes through both resistance-based approaches, such as restoring fire regimes and reinforcing native species dominance, and acceptance of some potential transitions, such as facilitating drought-tolerant and phenologically flexible species establishment and adjusting fire regimes to align with altered phenology.&nbsp;</p>","language":"English","publisher":"Climate Change Adaptation Centers","usgsCitation":"Ratcliffe, H., Charton, K., Siddons, T., Lyons, M.P., and LeDee, O.E., 2025, Effects of climate change on Midwestern ecosystems: Central and Eastern North American Grassland and Shrubland, 116 p.","productDescription":"116 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University","active":true,"usgs":false}],"preferred":false,"id":954583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, Marta P. 0000-0002-8117-8710 mlyons@usgs.gov","orcid":"https://orcid.org/0000-0002-8117-8710","contributorId":270223,"corporation":false,"usgs":true,"family":"Lyons","given":"Marta","email":"mlyons@usgs.gov","middleInitial":"P.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":954584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeDee, Olivia E. 0000-0002-7791-5829 oledee@usgs.gov","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":242820,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia","email":"oledee@usgs.gov","middleInitial":"E.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":954585,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273470,"text":"70273470 - 2025 - Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","interactions":[],"lastModifiedDate":"2026-01-16T14:23:48.418624","indexId":"70273470","displayToPublicDate":"2025-12-01T09:00:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2562,"text":"Journal of the Nevada Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and Soils of the Big Smoky Valley Fens, Nevada","docAbstract":"<p>Fens are groundwater-fed wetlands that can provide habitat for plants and animals. Due to anthropogenic activities and climate change, many fens around the world are at risk. This paper presents the results of a study of the hydrology and geochemistry of fens in Big Smoky Valley,&nbsp;central Nevada to support the Bureau of Land Management’s activities in the area. A water sample from the largest fen in the study area was analyzed for its water chemistry and compared to a&nbsp;nearby alluvial aquifer and hot spring. The high SiO<sub>2</sub> concentration of the fen sample implies that the fen water may originate from geothermal water. A soil core was taken to analyze radiocarbon&nbsp;age and soil type. A majority of the core was composed of silt and clay interlayered with water-filled voids. Changes in the character of the clay with depth suggest that there may have been&nbsp;changes in the depositional environment over time. Radiocarbon dating of <i>Ruppia</i> seeds showed longevity of the fen, with the minimum <sup>14</sup>C age of the core as 4,375±40 years. This paper provides reconnaissance-level information on the Big Smoky Valley fens, but further information would be needed to better understand the source of water to the fens or how the fen environment has changed over time with climate.</p>","language":"English","publisher":"Nevada Water Resources Association","doi":"10.22542/jnwra/2025/1/2","usgsCitation":"Cromratie Clemons, S.K., Moret, G.J., and Earp, K.J., 2025, Geochemistry and Soils of the Big Smoky Valley Fens, Nevada: Journal of the Nevada Water Resources Association, v. 2025, no. Winter, p. 27-40, https://doi.org/10.22542/jnwra/2025/1/2.","productDescription":"14 p.","startPage":"27","endPage":"40","ipdsId":"IP-153124","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":498650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Big Smoky Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.75,\n              39.75\n            ],\n            [\n              -117.75,\n              38.5\n            ],\n            [\n              -116.5,\n              38.5\n            ],\n            [\n              -116.5,\n              39.75\n            ],\n            [\n              -117.75,\n              39.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","issue":"Winter","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromratie Clemons, Sade K. 0009-0002-2846-7158","orcid":"https://orcid.org/0009-0002-2846-7158","contributorId":346168,"corporation":false,"usgs":true,"family":"Cromratie Clemons","given":"Sade","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moret, Geoffrey John 0000-0002-6589-5699","orcid":"https://orcid.org/0000-0002-6589-5699","contributorId":365162,"corporation":false,"usgs":true,"family":"Moret","given":"Geoffrey","middleInitial":"John","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earp, Katherine J. 0000-0002-5291-6737 kjearp@usgs.gov","orcid":"https://orcid.org/0000-0002-5291-6737","contributorId":223704,"corporation":false,"usgs":true,"family":"Earp","given":"Katherine","email":"kjearp@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274280,"text":"70274280 - 2025 - Developing eRNA assays for spawning and juvenile bigheaded carps","interactions":[],"lastModifiedDate":"2026-03-24T14:01:15.604997","indexId":"70274280","displayToPublicDate":"2025-12-01T08:58:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10574,"text":"Asian Carp Monitoring and Response Plan","active":true,"publicationSubtype":{"id":3}},"title":"Developing eRNA assays for spawning and juvenile bigheaded carps","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Monitoring and response plan for invasive carp in the Mississippi River basin, fiscal year 2024","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Mississippi Interstate Cooperative Resource Association","usgsCitation":"Spear, S.F., 2025, Developing eRNA assays for 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,{"id":70274255,"text":"70274255 - 2025 - Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic","interactions":[],"lastModifiedDate":"2026-03-24T13:51:43.828512","indexId":"70274255","displayToPublicDate":"2025-12-01T08:47:16","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":12995,"text":"NOAA Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"OAR ARC 25-14","title":"Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"NOAA","doi":"10.25923/f3tr-5759","usgsCitation":"O'Donnell, J.A., Carey, M.P., Koch, J.C., Baughman, C., Hill, K., Evinger, T., Pruitt, A., Thompson, C., Graham, E.B., and Poulin, B.A., 2025, Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic: NOAA Technical Report OAR ARC 25-14, 8 p., https://doi.org/10.25923/f3tr-5759.","productDescription":"8 p.","ipdsId":"IP-183425","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.44781012140473,\n              70\n            ],\n            [\n              -167.44863507680367,\n              70\n            ],\n            [\n              -167.44863507680367,\n              64\n            ],\n            [\n              -140.44781012140473,\n              64\n            ],\n            [\n              -140.44781012140473,\n              70\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Donnell, Jonathan A.","contributorId":367250,"corporation":false,"usgs":false,"family":"O'Donnell","given":"Jonathan","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":957216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":957217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":957218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":957219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Kenneth","contributorId":244049,"corporation":false,"usgs":false,"family":"Hill","given":"Kenneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":957220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evinger, Taylor","contributorId":332163,"corporation":false,"usgs":false,"family":"Evinger","given":"Taylor","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":957221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pruitt, Abagael","contributorId":367253,"corporation":false,"usgs":false,"family":"Pruitt","given":"Abagael","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":957222,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Claire","contributorId":367254,"corporation":false,"usgs":false,"family":"Thompson","given":"Claire","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":957223,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, Emily B.","contributorId":202683,"corporation":false,"usgs":false,"family":"Graham","given":"Emily","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":957224,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulin, Brett A","contributorId":367256,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","middleInitial":"A","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":957225,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272971,"text":"70272971 - 2025 - Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data","interactions":[],"lastModifiedDate":"2025-12-11T14:50:29.76691","indexId":"70272971","displayToPublicDate":"2025-12-01T08:41:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data","docAbstract":"<p><span>Classification of massive datasets by machine learning (ML) algorithms is promising for many scientific domains, especially wildlife monitoring programs that rely on passive acoustic surveys for detecting species. However, treating ML-predicted class labels (e.g., species identity) as truth biases inferences of focal parameters within common modeling frameworks. One solution is to model the misclassification process explicitly using human-validated true-class labels for a subset of observations. Validation by experts can present a substantial bottleneck in otherwise efficient workflows that use ML predictions. Bioacoustics practitioners seek guidance on both the quantity and process for selecting ML-labeled data to validate by an expert. We derive an alternative model formulation that jointly models human-validated and ML-predicted class labels with an observed-data likelihood (ODL) and use empirically informed simulations motivated by a real-data application to explore different probability designs for selecting class labels for validation. Simulation results suggest that with smaller validation sets the ODL formulation increases computational speed and reduces estimation error compared to a default MCMC data augmentation routine. Our methodology is transferable to applications that treat predictions from classification algorithms as the response variable of interest.</span></p>","language":"English","publisher":"Project Euclid","doi":"10.1214/25-AOAS2096","usgsCitation":"Oram, J., Banner, K.M., Stratton, C., Hoegh, A., and Irvine, K., 2025, Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data: Annals of Applied Statistics, v. 19, no. 4, p. 2957-2980, https://doi.org/10.1214/25-AOAS2096.","productDescription":"24 p.","startPage":"2957","endPage":"2980","ipdsId":"IP-149507","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1214/25-aoas2096","text":"Publisher Index Page"},{"id":497320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oram, Jacob 0009-0001-8405-529X","orcid":"https://orcid.org/0009-0001-8405-529X","contributorId":353522,"corporation":false,"usgs":false,"family":"Oram","given":"Jacob","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banner, Katharine M.","contributorId":363761,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":951957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":220632,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273848,"text":"70273848 - 2025 - Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes","interactions":[],"lastModifiedDate":"2026-02-06T15:14:32.840311","indexId":"70273848","displayToPublicDate":"2025-12-01T08:07:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes","docAbstract":"<p>Objective</p><p><span>Environmental DNA (eDNA) metabarcoding provides an attractive option for monitoring biodiversity in remote freshwater ecosystems, where the deployment of conventional gears encounters major logistical constraints. We evaluated eDNA metabarcoding for monitoring fish communities and early detection of nonnative species in three remote lakes on Isle Royale, Michigan, USA.</span></p><p><span>Methods</span></p><p><span>At each of the three lakes, we collected surface, midwater, and lake bottom samples from 10 sites during spring and fall sampling events. We performed metabarcoding on all the water samples, targeting the 12S region of all fish species.</span></p><p><span>Results</span></p><p><span>Despite a relatively small sample size (<i>N</i>&nbsp;= 60 samples per lake across two visits; 10 locations with three depths per location), we recovered 70% of all the species that were previously observed using conventional methods. We recovered several detections of putative Cisco&nbsp;<i>Coregonus artedi</i>, a vulnerable coldwater species, providing evidence that Cisco have persisted in these lakes. However, we found disentangling likely false positives from rare species challenging, which we overcame by employing multiple types of detection thresholds and a species-specific quantitative PCR assay.</span></p><p><span>Conclusions</span></p><p><span>Although we were able to successfully characterize the fish communities using eDNA metabarcoding, more attention needs to be given to the detection thresholds and communication protocols that provide guidance in interpretating new eDNA detections and using eDNA detections to inform management decisions. Although eDNA metabarcoding has limitations that should be accounted for at the outset of the project, the ease of sample collection makes eDNA metabarcoding an option for monitoring freshwater biodiversity in remote systems.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf106","usgsCitation":"Iacaruso, N.J., Myers, J.T., Seider, M.J., and Davis, M.A., 2025, Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes: North American Journal of Fisheries Management, v. 46, no. 1, p. 84-100, https://doi.org/10.1093/najfmt/vqaf106.","productDescription":"17 p.","startPage":"84","endPage":"100","ipdsId":"IP-176505","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Isle Royale, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.31231479627827,\n              48.18989928985803\n            ],\n            [\n              -89.31231479627827,\n              47.823253980655494\n            ],\n            [\n              -88.40909564980919,\n              47.823253980655494\n            ],\n            [\n              -88.40909564980919,\n              48.18989928985803\n            ],\n            [\n              -89.31231479627827,\n              48.18989928985803\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Iacaruso, Nicholas J. 0009-0004-0829-2252","orcid":"https://orcid.org/0009-0004-0829-2252","contributorId":366087,"corporation":false,"usgs":false,"family":"Iacaruso","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":955227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Jared Thomas 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":363104,"corporation":false,"usgs":true,"family":"Myers","given":"Jared","middleInitial":"Thomas","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J. 0000-0002-6500-4710","orcid":"https://orcid.org/0000-0002-6500-4710","contributorId":366088,"corporation":false,"usgs":false,"family":"Seider","given":"Michael","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":955229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Mark A. 0000-0001-9034-9430","orcid":"https://orcid.org/0000-0001-9034-9430","contributorId":366089,"corporation":false,"usgs":false,"family":"Davis","given":"Mark","middleInitial":"A.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":955230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272620,"text":"dr1217 - 2025 - Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2024","interactions":[],"lastModifiedDate":"2026-02-03T16:40:49.220576","indexId":"dr1217","displayToPublicDate":"2025-12-01T07:18:23","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1217","displayTitle":"Range-wide Population Trend Analysis for Greater Sage-Grouse (<em>Centrocercus urophasianus</em>)—Updated 1960–2024","title":"Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)—Updated 1960–2024","docAbstract":"<p>Greater sage-grouse (<i>Centrocercus urophasianus</i>; hereafter sage-grouse) are at the center of State and national land-use policies largely because of their unique life-history traits as an ecological indicator for the health of sagebrush ecosystems. This updated population trend analysis provides State and Federal land and wildlife managers with the best available science to help guide management and conservation plans aimed at benefiting sage-grouse populations and the ecosystems they inhabit. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022a) and incorporates population lek count data for 1960–2024. Included in this report are methodological updates to lek count data aggregation, state-space model forecasting, and targeted annual warning system signals, which are detailed under individual Modification sections. State-space models estimated a 2.9-percent average annual decline in sage-grouse populations between 1966 and 2021 (Period 1, six population oscillations) across their geographical range. The average annual decline among climate clusters for the same number of oscillations ranged between 2.2 and 3.4 percent. Cumulative declines were 41.2, 64.1, and 78.8 percent range-wide in Period 5 (19 years), Period 3 (35 years), and Period 1 (55 years), respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1217","collaboration":"Prepared in cooperation with the Bureau of Land Management","programNote":"Ecosystems Mission Areas—Species Management Research Program and Land Management Research Program","usgsCitation":"Prochazka, B.G., Coates, P.S., Aldridge, C.L., O'Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2025, Range-wide population trend analysis for greater sage-grouse (<em>Centrocercus urophasianus</em>)—Updated 1960–2024: U.S. Geological Survey Data Report 1217, 22 p., https://doi.org/10.3133/dr1217.","productDescription":"Report: viii, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-182475","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496879,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1217/dr1217.XML"},{"id":496877,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OQWGIV","text":"USGS data release","description":"USGS data release","linkHelpText":"Trends and a targeted annual warning system for greater sage-grouse in the western United States (ver. 4.0, November 2025)"},{"id":496878,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1217/images"},{"id":496874,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1217/coverthb.jpg"},{"id":496875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1217/dr1217.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1217"},{"id":496876,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1217/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1217"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.02726904687307,\n              37.11378745198651\n            ],\n            [\n              -107.91246282672654,\n              39.23148053932573\n            ],\n            [\n              -104.18656479624082,\n              42.68923879351195\n            ],\n            [\n              -104.09712675152082,\n              44.90768367632023\n            ],\n            [\n              -103.10713250018665,\n              45.28903162099806\n            ],\n            [\n              -103.07124138706033,\n              46.81624492709619\n            ],\n            [\n              -105.38823344586734,\n              48.94676636341262\n            ],\n            [\n              -120.30657593063506,\n              48.87342393238805\n            ],\n            [\n              -120.60087183124688,\n              42.81488245718879\n            ],\n            [\n              -120.58608571052426,\n              38.32426094909158\n            ],\n            [\n              -117.42786260245566,\n              36.55795546064512\n            ],\n            [\n              -113.02726904687307,\n              37.11378745198651\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Data Compilation and Inputs</li><li>Range-Wide Sage-Grouse Population Model</li><li>Range-Wide Population Trends</li><li>Climate Cluster Population Trends</li><li>Probability of Future Extirpation</li><li>Watches and Warnings from a Targeted Annual Warning System</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2025-12-01","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":950975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":950979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950980,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950981,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274279,"text":"70274279 - 2025 - Adult and hatch-year survival and fidelity of Piping Plovers <i>Charadrius melodus</i> in the lower Platte River system, Nebraska, USA","interactions":[],"lastModifiedDate":"2026-03-24T17:00:40.607146","indexId":"70274279","displayToPublicDate":"2025-12-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Adult and hatch-year survival and fidelity of Piping Plovers <i>Charadrius melodus</i> in the lower Platte River system, Nebraska, USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Knowledge of vital rates informs the conservation and management of threatened and endangered species. In the northern Great Plains, USA, the federally threatened Piping Plover&nbsp;</span><i>Charadrius melodus</i><span>&nbsp;uses a variety of nesting habitats including natural river sandbars and human-created sites in the lower Platte River system, Nebraska. In this area, off-river sandpit sites (i.e., active sand and gravel mines, transition sites, and lakeshore housing developments) are not managed to prioritize nesting and are often considered inferior habitat to sandbars. However, most Piping Plovers in the lower Platte River system nest off river, especially in years when sandbar habitat is limited. As the quantity of habitat provided at off-river sites is predicted to decline, evaluating vital rates among different off-river nesting habitats will inform future conservation efforts. We estimated annual survival and fidelity of adult (n = 165) and hatch-year (n = 671) Piping Plovers from 2008 to 2018 and within-season weekly survival of breeding adults (n = 271) from 2011 to 2024. Annual adult survival was 0.771 (95% CI = 0.733–0.804) and hatch-year survival was 0.394 (0.335–0.456). Fidelity to the study area was 0.737 (0.634–0.819) for adults and 0.261 (0.192–0.345) for hatch-years. Within-season apparent weekly survival was higher for Piping Plovers at lakeshore housing developments (0.946 [85% CI = 0.917–0.965]) than sand and gravel mines (0.909 [0.874–0.935]) and transition sites (0.881 [0.834–0.928]). Annual survival of adult and hatch-year birds were comparable to other studies and regions within the Northern Great Plains population, indicating no negative consequence of off-river nesting to survival. Considering that off-river habitats are important for the persistence of Piping Plovers in the lower Platte River system, continued monitoring of survival could help managers evaluate recovery implications under uncertain future habitat availability in the region.</span></span></p>","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00393","usgsCitation":"Forsberg, E., Powell, L., Swift, R.J., Jorgensen, J., and Vrtiska, M.P., 2025, Adult and hatch-year survival and fidelity of Piping Plovers <i>Charadrius melodus</i> in the lower Platte River system, Nebraska, USA: Wader Study, v. 132, no. 3, p. 210-222, https://doi.org/10.18194/ws.00393.","productDescription":"13 p.","startPage":"210","endPage":"222","ipdsId":"IP-175896","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"lower Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.53013643892548,\n              41.848160677437875\n            ],\n            [\n              -97.53013643892548,\n              40.86001959632918\n            ],\n            [\n              -95.95197180336409,\n              40.86001959632918\n            ],\n            [\n              -95.95197180336409,\n              41.848160677437875\n            ],\n            [\n              -97.53013643892548,\n              41.848160677437875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"132","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Forsberg, Elsa M.","contributorId":357514,"corporation":false,"usgs":false,"family":"Forsberg","given":"Elsa M.","affiliations":[{"id":16602,"text":"University of Nebraska, Lincoln","active":true,"usgs":false}],"preferred":false,"id":957558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":352292,"corporation":false,"usgs":false,"family":"Powell","given":"Larkin A.","affiliations":[{"id":84162,"text":"School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska USA","active":true,"usgs":false}],"preferred":false,"id":957559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgensen, Joel G.","contributorId":169604,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Joel G.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":957561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vrtiska, Mark P.","contributorId":201604,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark","middleInitial":"P.","affiliations":[{"id":36216,"text":"NE Game & Parks","active":true,"usgs":false}],"preferred":false,"id":957562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273001,"text":"70273001 - 2025 - A framework for analyzing wild turkey summer sighting data.","interactions":[],"lastModifiedDate":"2025-12-12T17:19:15.483358","indexId":"70273001","displayToPublicDate":"2025-11-30T10:04:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"A framework for analyzing wild turkey summer sighting data.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Wildlife agencies collect data on productivity (e.g., proportion of hens with poults and number of poults per hen) of wild turkey (</span><i>Meleagris gallopavo</i><span>) to monitor population status and trends. However, sampling protocols to collect productivity data rely on opportunistic observations reported by wildlife agency personnel and the public and have changed over time and differed among agencies. A protocol to standardize data collection was adopted by most state wildlife agencies in 2019, but long-term historical datasets exist that cannot be analyzed readily to make inferences about spatial and temporal patterns in wild turkey productivity. We developed statistical models to allow comparisons and model trends in productivity among and within states even though data collection protocols changed over time and differed among states. We found greater spatial variation in the proportion of hens with poults than the number of poults per brood, which may reflect how environmental factors influence wild turkey productivity. Our models can also provide inferences about productivity when data are limited or temporally discontinuous for some spatial units. Additionally, we found that temporal and spatial variation in data collection, even under the new protocol, can affect inferences about trends in productivity. The statistical models we developed address the uncontrolled nature of when and where data are collected and offer the ability to investigate long-term patterns of productivity in relation to factors such as changing climate or habitat conditions.</span></span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1623","usgsCitation":"Diefenbach, D.R., Buderman, F.E., Casalena, M.J., Dye, M., Gates, R., Gigliotti, L., Long, C., Martin, K., Muthersbaugh, M., Peters, M.L., Sloan, J., Stiller, J., and Wiley, M., 2025, A framework for analyzing wild turkey summer sighting data.: Wildlife Society Bulletin, v. 49, no. 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,{"id":70274024,"text":"70274024 - 2025 - Predicted fish vulnerability to stream drying in the western U.S.A.","interactions":[],"lastModifiedDate":"2026-02-24T14:45:01.973166","indexId":"70274024","displayToPublicDate":"2025-11-30T09:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Predicted fish vulnerability to stream drying in the western U.S.A.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The frequency, magnitude and extent of stream drying is increasing due to climate change and human water demand. Fish vulnerability to increased stream drying is a combination of sensitivity (innate tolerance to low streamflow) and exposure to stream drying. To understand fish tolerance to low flow and susceptibility to decline under changing streamflow conditions, we estimated species-specific measures of sensitivity to low streamflow, determined relationships to species traits and evaluated vulnerability to future reductions in streamflow for 60 species. We found that sensitivity varied across species, and some variation was explained by life history strategy, spawning strategy and body size. Periodic life history strategy, pelagic spawning and larger size corresponded to an increased sensitivity to stream drying. Under future projections of August streamflow, 90% of sites were predicted to decrease in flow magnitude. Vulnerability to changes in streamflow, the combination of sensitivity and exposure, varied slightly across the study species, with the percent of inhospitable sites under future climate scenarios increasing for 87% of the species. Despite being relatively insensitive to low streamflow, vulnerability was high for multiple species dominant in mountainous areas, driven by high levels of exposure to stream drying. Our results illustrate the potential for species traits to predict sensitivity to low streamflow and demonstrate that exposure may play a large role when defining species vulnerability to stream drying. The ability to predict species tolerances and susceptibility to decline will become increasingly important in prioritising conservation efforts under changing environmental conditions.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.70030","usgsCitation":"Rieger, E.A., Clancy, N.G., McShane, R., Sando, R., Walters, A.W., 2025, Predicted fish vulnerability to stream drying in the western U.S.A.: Ecology of Freshwater Fish, v. 35, no. 1, e70030, 15 p., https://doi.org/10.1111/eff.70030.","productDescription":"e70030, 15 p.","ipdsId":"IP-181256","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500416,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nebraska, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.17687504578194,\n              48.99895279833029\n            ],\n            [\n              -117.17687504578194,\n              41.52556699198976\n            ],\n            [\n              -102.07830601878965,\n              41.52556699198976\n            ],\n            [\n              -102.07830601878965,\n              48.99895279833029\n            ],\n            [\n              -117.17687504578194,\n              48.99895279833029\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rieger, Elizabeth A.","contributorId":366763,"corporation":false,"usgs":false,"family":"Rieger","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clancy, Niall G.","contributorId":366764,"corporation":false,"usgs":false,"family":"Clancy","given":"Niall","middleInitial":"G.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McShane, Ryan R. 0000-0002-3128-0039","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":219009,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":956195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956196,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273257,"text":"70273257 - 2025 - The Hawaiian Volcanoes Supersite: Open data for the benefit of science and society","interactions":[],"lastModifiedDate":"2025-12-29T15:14:02.021347","indexId":"70273257","displayToPublicDate":"2025-11-28T09:09:09","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":"The Hawaiian Volcanoes Supersite: Open data for the benefit of science and society","docAbstract":"<p><span>The Hawaiian Volcanoes Supersite was established in 2008 with the goal of making large amounts of volcano monitoring data, especially satellite measurements, freely available at a site of international interest, scientific importance, and impactful natural hazards. The location was chosen because of the long history of volcanological research and innovation on the Island of Hawaiʻi, as well as the need for monitoring, assessing, and mitigating volcanic hazards for the local population. Ground-based data are provided by the U.S. Geological Survey Hawaiian Volcano Observatory, and several national space agencies have contributed thousands of satellite synthetic aperture radar and other data that would have otherwise required special grants or commercial purchase. Since the Hawaiian Volcanoes Supersite was initiated, the vast quantity of open space-based data has resulted in the development of new applications and methodologies, successful responses to volcanic crises, and research that has informed monitoring and hazards mitigation activities. While there remain opportunities for additional coordination among supersite users and for synergistic studies that make use of the full spectrum of available ground- and space-based data, the Hawaiian Volcanoes Supersite has achieved its goals of stimulating basic research to better understand Hawaiian volcanism and aiding in responses to hazardous geologic processes. 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,{"id":70272784,"text":"70272784 - 2025 - Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States","interactions":[{"subject":{"id":70272453,"text":"70272453 - 2025 - Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States","indexId":"70272453","publicationYear":"2025","noYear":false,"title":"Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States"},"predicate":"SUPERSEDED_BY","object":{"id":70272784,"text":"70272784 - 2025 - Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States","indexId":"70272784","publicationYear":"2025","noYear":false,"title":"Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States"},"id":1}],"lastModifiedDate":"2025-12-08T16:09:58.802435","indexId":"70272784","displayToPublicDate":"2025-11-28T09:05:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Rangelands are extensive ecosystems, providing important ecosystem services while undergoing continuous change. As a result, improved monitoring technologies can help better characterize vegetation change. Satellite remote sensing has proven effective in this regard, tracking vegetation dynamics at broad and fine scales. We leveraged the spatial, spectral, and temporal resolution of Sentinel-2 satellites to estimate fractional cover and canopy gap across rangelands of the western United States. We produced annual, 10 m spatial resolution estimates of fractional cover and canopy gap size class for years 2018 to 2024. Fractional cover estimates include that of common plant functional types (annual forb and grass, bareground, littler, perennial forb and grass, shrub, tree) and select genera (including invasive annual grass species, pinyon-juniper species, and sagebrush species); canopy gap size classes include gap sizes 25 to 50, 51 to 100, 101 to 200, and greater than 200 cm. We make these data available as Cloud Optimized GeoTIFFs, organized as 75 × 75 km tiles covering the 17 western states of the United States.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-025-06160-9","usgsCitation":"Allred, B.W., McCord, S.E., Assal, T.J., Bestelmeyer, B.T., Boyd, C.S., Brooks, A.C., Cady, S.M., Duniway, M.C., Fuhlendorf, S.D., Green, S.A., Harrison, G.R., Jensen, E.R., Kachergis, E.J., Knight, A.C., Mattilio, C.M., Mealor, B.A., Naugle, D.E., O’Leary, D., Olsoy, P.J., Peirce, E.S., Reinhardt, J.R., Shriver, R.K., Smith, J.T., Tack, J.D., Tanner, A.M., Tanner, E.P., Twidwell, D., Webb, N.P., and Morford, S.L., 2025, Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States: Scientific Data, v. 12, 1889, 14 p., https://doi.org/10.1038/s41597-025-06160-9.","productDescription":"1889, 14 p.","ipdsId":"IP-177429","costCenters":[{"id":568,"text":"Southwest Biological Science 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,{"id":70272712,"text":"70272712 - 2025 - Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis","interactions":[],"lastModifiedDate":"2025-12-05T14:42:36.637757","indexId":"70272712","displayToPublicDate":"2025-11-28T08:34:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis","docAbstract":"<p><span>Sources, transport mechanisms and pathways of fine sediment in river systems are dependent on a multitude of climatic, geomorphic and anthropogenic factors, resulting in geomorphic equifinality, in which it is difficult to parse how different landscape processes affect sediment transport across different spatiotemporal scales. The objectives of this study are to 1) provide a conceptual model to consider how differing spatial distributions and hydrologic timing of sediment sources, both upland and in-channel, can result in equifinal sediment transport outcomes, and 2) utilize analytical methods with widely available environmental datasets to infer sediment processes from stream gaging data. Hysteretic patterns of observed storm events were classified based on their direction and timing of peak sediment concentration, relative to streamflow, using records from 35&nbsp;U.S. Geological Survey stream gages in the period between 2007 and 2023 within two different physiographic regions: the Mid-Atlantic Delaware River Basin (DRB) and the Midwestern Illinois River Basin (IRB). The DRB contains mixed forest, urban, suburban and agricultural watersheds over diverse topography, and the IRB is primarily an intensively managed agricultural watershed on flat terrain. We use principal component analysis and linear discriminant analysis to infer regional hydrologic relations with turbidity dynamics, and to identify the primary hydrologic and land surface characteristics most effective at distinguishing between hysteretic classes in each region. These analyses reveal underlying regional relations in storm event hydrodynamics and landscape characteristics that contribute to varying patterns in sediment dynamics. Incorporating these sediment dynamic relations with spatial distributions and hydrologic timing of sediment sources could help to improve process understanding and predictive capability of fine sediment transport in watersheds.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.70176","usgsCitation":"Cho, J., Lund, J.W., Ball, G., Brown, J., Gellis, A.C., Gurley, L., Hamshaw, S.D., Kwang, J., Laws, A.R., Noe, G.E., Oelsner, G.P., Parchaso, F., Peterman-Phipps, C.L., Skalak, K., and Sutfin, N., 2025, Disentangling geomorphic equifinality in sediment and hydrologic connectivity through the analyses of landscape drivers of hysteresis: Earth Surface Processes and Landforms, v. 50, no. 15, e70176, 17 p., https://doi.org/10.1002/esp.70176.","productDescription":"e70176, 17 p.","ipdsId":"IP-170744","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":497386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70176","text":"Publisher Index Page"},{"id":497134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Illinois, Indiana, New Jersey, New York, Pennsylvania, Wisconsin","otherGeospatial":"Delaware River basin, Illinois River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.68954408345827,\n              38.950028597513835\n            ],\n            [\n              -74.89989316012007,\n              39.102240996914645\n            ],\n            [\n              -74.6338466936656,\n              39.87992689710077\n            ],\n            [\n              -74.54209298691838,\n              42.48383357009601\n            ],\n            [\n              -75.32901972577082,\n              42.66606930681047\n            ],\n            [\n              -75.68467393558525,\n              41.52390339255501\n            ],\n            [\n              -75.94651156666464,\n              40.974819350541964\n            ],\n            [\n              -75.68954408345827,\n              38.950028597513835\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.28425444320338,\n              40.20557521013771\n            ],\n            [\n              -85.90911218453002,\n              41.38513214136876\n            ],\n            [\n              -85.85862424909708,\n              41.667539228044404\n            ],\n            [\n              -86.89276221760612,\n              41.62541848585033\n            ],\n            [\n              -87.491709790281,\n              41.28303800296328\n            ],\n            [\n              -87.72477917112869,\n              41.742290318896494\n            ],\n            [\n              -87.899547984402,\n              42.784080379148435\n            ],\n            [\n              -88.60462403328552,\n              42.60113489689337\n            ],\n            [\n              -88.63226716784871,\n              41.75576859115819\n            ],\n            [\n              -91.24345346002825,\n              40.535056911723274\n            ],\n            [\n              -91.45289956006285,\n              39.49144562335394\n            ],\n            [\n              -89.96846822396331,\n              39.00606367341052\n            ],\n            [\n              -87.23317921294202,\n              40.09312885971303\n            ],\n            [\n              -87.28425444320338,\n              40.20557521013771\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"15","noUsgsAuthors":false,"publicationDate":"2025-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cho, Jong 0000-0001-5514-6056","orcid":"https://orcid.org/0000-0001-5514-6056","contributorId":291384,"corporation":false,"usgs":true,"family":"Cho","given":"Jong","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":951405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":211157,"corporation":false,"usgs":true,"family":"Lund","given":"J.","email":"","middleInitial":"William","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Grady 0000-0003-3030-055X","orcid":"https://orcid.org/0000-0003-3030-055X","contributorId":220746,"corporation":false,"usgs":true,"family":"Ball","given":"Grady","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gurley, Laura N. 0000-0002-2881-1038","orcid":"https://orcid.org/0000-0002-2881-1038","contributorId":93834,"corporation":false,"usgs":true,"family":"Gurley","given":"Laura N.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":951410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kwang, Jeffrey Stephen 0000-0002-3165-9700","orcid":"https://orcid.org/0000-0002-3165-9700","contributorId":348190,"corporation":false,"usgs":true,"family":"Kwang","given":"Jeffrey Stephen","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":951411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Laws, Andrew Roy 0009-0001-6928-8335","orcid":"https://orcid.org/0009-0001-6928-8335","contributorId":363272,"corporation":false,"usgs":true,"family":"Laws","given":"Andrew","middleInitial":"Roy","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":951414,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951415,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":217719,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":951416,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Peterman-Phipps, Cara L. 0000-0003-1822-2552","orcid":"https://orcid.org/0000-0003-1822-2552","contributorId":259166,"corporation":false,"usgs":true,"family":"Peterman-Phipps","given":"Cara","email":"","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":951417,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":951418,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sutfin, Nicholas Alan 0000-0003-4429-7814","orcid":"https://orcid.org/0000-0003-4429-7814","contributorId":357883,"corporation":false,"usgs":true,"family":"Sutfin","given":"Nicholas Alan","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951419,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70273803,"text":"70273803 - 2025 - Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires","interactions":[],"lastModifiedDate":"2026-02-02T21:34:17.940337","indexId":"70273803","displayToPublicDate":"2025-11-27T15:29:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires","docAbstract":"Savannas depend on frequent, low-intensity fires that shape animal and plant communities. These fires alter animal populations, movement, and habitat use. Here, we report on how fires in a longleaf pine (Pinus palustris) savanna affected small mammal microhabitat use via changes in competition and predation. We monitored small mammal populations and vegetation subjected to biennial prescribed fires and compared microhabitat use of three small mammal populations [hispid cotton rats (Sigmodon hispidus), cotton mice (Peromyscus gossypinus) and oldfield mice (Peromyscus polionotus)] in the presence and absence of mesocarnivores while accounting for changes in density and movement of each small mammal species. Densities of cotton rats varied greatly across years but were similar between predator exclosures and controls. However, frequency of use was greater in exclosures than in controls irrespective of vegetation characteristics, suggesting predation risk altered cotton rat microhabitat use. Conversely, higher relative abundance of cotton rats was associated with lower cotton mouse and oldfield mouse use, suggesting spatial separation in niche and indicating that cotton mice expand their realized niche following predation-induced declines of cotton rats associated with prescribed burn events. Our results contribute to a better understanding of pyrodiversity and how interspecific interactions can moderate effects of vegetation changes following prescribed fires.","language":"English","publisher":"Springer","doi":"10.1038/s41598-025-26529-5","usgsCitation":"Shastry, V., Conner, L.M., Morris, G., Royle, A., Smith, L., and Morin, D., 2025, Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires: Scientific Reports, v. 15, no. 1, 42385, 12 p., https://doi.org/10.1038/s41598-025-26529-5.","productDescription":"42385, 12 p.","ipdsId":"IP-181552","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-26529-5","text":"Publisher Index Page"},{"id":499417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","county":"Baker County","otherGeospatial":"Jones Center at Ichauway","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shastry, Varsha","contributorId":365822,"corporation":false,"usgs":false,"family":"Shastry","given":"Varsha","affiliations":[{"id":87229,"text":"Mississippi State University; The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conner, L. Mike","contributorId":365823,"corporation":false,"usgs":false,"family":"Conner","given":"L.","middleInitial":"Mike","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Gail","contributorId":365824,"corporation":false,"usgs":false,"family":"Morris","given":"Gail","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Lora","contributorId":156438,"corporation":false,"usgs":false,"family":"Smith","given":"Lora","affiliations":[],"preferred":false,"id":954880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morin, Dana","contributorId":264602,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954881,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273268,"text":"70273268 - 2025 - Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","interactions":[],"lastModifiedDate":"2025-12-29T15:38:48.704275","indexId":"70273268","displayToPublicDate":"2025-11-27T09:31:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rare milkvetch (<i>Astragalus</i>) persistence at a utility-scale solar energy facility in the Mojave Desert","title":"Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","docAbstract":"<p><span>Utility-scale solar energy (USSE) development is driving the projected growth in global renewable energy capacity but comes with environmental tradeoffs. New, alternative construction methods are promoted to minimize impacts to soils, vegetation, and hydrology; however, the disturbance created by these methods requires further investigation. We evaluated the population of a rare annual species, threecorner milkvetch (</span><i>Astragalus geyeri</i><span>&nbsp;var.&nbsp;</span><i>triquetrus</i><span>), at the Gemini Solar Project in the Mojave Desert, USA, two years after construction. Gemini was required to minimize disturbance in the threecorner milkvetch habitat, providing a unique opportunity to study the plant population and life history characteristics of a rare plant species under novel construction methods. Our objectives were to compare plant population characteristics of threecorner milkvetch inside and outside the Gemini footprint and in different photovoltaic (PV) panel microsites (interspace, panel dripline, under panel). We hypothesized that 1) threecorner milkvetch would have lower survival, reproduction, and growth, and a later phenology, inside compared to outside the facility, and 2) that these negative effects on plant demography and phenology would intensify with increasing proximity to photovoltaic panels in the solar array due to an increasing effect of disturbance and reduction of light and water availability. The results of this 1-year study during a favorable year of rainfall demonstrate the persistence of a rare Mojave annual plant species within an altered environment at a USSE facility. We found that threecorner milkvetch had an earlier phenology, grew larger, and had a higher fecundity at Gemini compared to plants off-site. Survivorship between the two populations, however, was not significantly different. Although growth and reproductive metrics were not correlated with distance to panel, minimal threecorner milkvetch emergence occurred directly under the PV panels and along their driplines, indicating a potential loss of suitable habitat if this pattern becomes more widespread in space or through time. Novel construction techniques for USSE could be considered moving forward to minimize impact on aboveground vegetation and maintain viable seed banks. The results of this study can assist land managers in making decisions about USSE development as the demand grows.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1697878","usgsCitation":"Pereira, T.J., Karban, C.C., Kobelt, L., and Munson, S.M., 2025, Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert: Frontiers in Ecology and Evolution, v. 13, 1697878, 12 p., https://doi.org/10.3389/fevo.2025.1697878.","productDescription":"1697878, 12 p.","ipdsId":"IP-182848","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1697878","text":"Publisher Index Page"},{"id":498143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.87877698144997,\n              36.55309391567229\n            ],\n            [\n              -114.87877698144997,\n              36.398061936746544\n            ],\n            [\n              -114.70717521419876,\n              36.398061936746544\n            ],\n            [\n              -114.70717521419876,\n              36.55309391567229\n            ],\n            [\n              -114.87877698144997,\n              36.55309391567229\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pereira, Tiffany J.","contributorId":364633,"corporation":false,"usgs":false,"family":"Pereira","given":"Tiffany","middleInitial":"J.","affiliations":[{"id":86877,"text":"Desert Research Institute [DRI] Conservation Ecology Lab, Division of Earth and Ecosystem Sciences, DRI, Las Vegas, NV, US","active":true,"usgs":false}],"preferred":false,"id":952964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kobelt, Lara A.","contributorId":350355,"corporation":false,"usgs":false,"family":"Kobelt","given":"Lara A.","affiliations":[{"id":83722,"text":"Bureau of Land Management, Southern Nevada District Office, 4701 North Torrey Pines Dr., Las Vegas, NV 89130","active":true,"usgs":false}],"preferred":false,"id":952966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272631,"text":"70272631 - 2025 - The effects of carnivory and herbivory on the energy balance of Arctic grizzly bears","interactions":[],"lastModifiedDate":"2025-12-01T15:26:20.339626","indexId":"70272631","displayToPublicDate":"2025-11-27T09:18:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"The effects of carnivory and herbivory on the energy balance of Arctic grizzly bears","docAbstract":"<p><span>Omnivores often face tradeoffs between selecting for spatially dispersed energy-dense vertebrate prey versus densely distributed herbivorous resources that have limited energetic value per unit intake. Arctic grizzly bears (</span><i>Ursus arctos</i><span>) are large omnivores within a resource-limited ecosystem that are known to exhibit smaller body masses and occur at lower densities than grizzly bears in other regions of North America. We evaluated the energy balance of Arctic grizzly bears during a portion of the fall hyperphagic period in two ecologically differing regions on Alaska’s northern Arctic coast by monitoring mass change, food intake, activity, and energy expenditure of 12 individuals over 17–22 days. Bears in coastal areas were more carnivorous than bears in the foothills that were predominantly herbivorous and frugivorous. Carnivory was associated with greater movement, body fat, and energy expenditure and two of four carnivorous bears lost mass. Overall, the mean body fat of the bears in this study was 34% lower than other grizzly bear populations in North America in the fall. Furthermore, the bears in this study exhibited relatively small changes in body mass (x̄</span><span>= 3%, range =−2 to 11%) that were 60% lower than other grizzly bear populations which typically gain substantial mass in the fall in preparation for denning. Our results, while representing a snapshot from a small number of bears during the fall hyperphagic period, are consistent with previous studies and indicate limited availability of energy-dense food resources during this time for grizzly bears in this region of the Arctic.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-025-05830-0","usgsCitation":"Pagano, A.M., Rode, K.D., Nicholson, K.L., Leacock, W.B., Stricker, C.A., and Robbins, C.T., 2025, The effects of carnivory and herbivory on the energy balance of Arctic grizzly bears: Oecologia, v. 208, 2, 15 p., https://doi.org/10.1007/s00442-025-05830-0.","productDescription":"2, 15 p.","ipdsId":"IP-179627","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152,\n              70.5\n            ],\n            [\n              -152,\n              69.5\n            ],\n            [\n              -144,\n              69.5\n            ],\n            [\n              -144,\n              70.5\n            ],\n            [\n              -152,\n              70.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":951049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":951050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Kerry L.","contributorId":363061,"corporation":false,"usgs":false,"family":"Nicholson","given":"Kerry","middleInitial":"L.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":951051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leacock, William B.","contributorId":363062,"corporation":false,"usgs":false,"family":"Leacock","given":"William","middleInitial":"B.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robbins, Charles T.","contributorId":363063,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","middleInitial":"T.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":951054,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273131,"text":"70273131 - 2025 - Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","interactions":[],"lastModifiedDate":"2025-12-16T15:15:06.148615","indexId":"70273131","displayToPublicDate":"2025-11-27T09:10:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","docAbstract":"<p><span>Dry permafrost underlain by ice-cemented permafrost has been reported in several locations in Antarctica. Initially thought to be relic ice, it is now understood that this subsurface ice is in equilibrium with the surface conditions, although it is not in equilibrium with the atmosphere. We use year-round data from University Valley in the Dry Valleys and Elephant Head in the Ellsworth Mountains to investigate the seasonal variations in water vapour flux that control the depth to the ice table under dry permafrost. Our analysis shows that the mean annual water vapour density of the soil surface exceeds the atmospheric value by a factor of up to ~2 due to summer snow. The attenuation and phase shift of the annual temperature cycle with depth result in colder temperatures at the ice table than at the surface of the soil in summer. We conclude that this temperature gradient, combined with the summer snow, provides the flux of water to the ice table necessary to maintain the ice. In University Valley, reducing the snow days by 40% moves the stability depth of the ice table from 42 to 66 cm. Increasing the snow days by 60% shifts the ice table to 17 cm. These variations can explain the observed gradient in the depth to the ice table in University Valley.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102025100448","usgsCitation":"McKay, C.P., Marinova, M., Williams, K.E., and Mellon, M., 2025, Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica: Antarctic Science, https://doi.org/10.1017/S0954102025100448.","ipdsId":"IP-173704","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0954102025100448","text":"Publisher Index Page"},{"id":497566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McKay, C. P.","contributorId":237824,"corporation":false,"usgs":false,"family":"McKay","given":"C.","email":"","middleInitial":"P.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":952401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marinova, M.","contributorId":364258,"corporation":false,"usgs":false,"family":"Marinova","given":"M.","affiliations":[{"id":86775,"text":"M3 Interplanetary Corp.","active":true,"usgs":false}],"preferred":false,"id":952402,"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":952403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mellon, M.","contributorId":241722,"corporation":false,"usgs":false,"family":"Mellon","given":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274577,"text":"70274577 - 2025 - From fences to roads: Changes in barrier behaviour of Mongolian gazelle across different types of linear infrastructure in Mongolia","interactions":[],"lastModifiedDate":"2026-04-06T15:48:16.485239","indexId":"70274577","displayToPublicDate":"2025-11-26T14:51:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"From fences to roads: Changes in barrier behaviour of Mongolian gazelle across different types of linear infrastructure in Mongolia","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Poorly designed linear infrastructure can reduce habitat connectivity and be major barriers for migratory wildlife. An important start at effective mitigation is understanding how individuals respond when barriers are encountered. This can be done via comparison of fine- and broad-scale behavioural responses to various anthropogenic barrier types. We classified fine-scale responses of 62 Mongolian gazelles (</span><i>Procapra gutturosa</i><span>) across different barrier types, seasons and times of day. We also investigated interactions at a broader scale by measuring the length of linear infrastructure traced, interaction duration and crossing success rate. We learned that gazelle behaviour varied according to barrier permeability, and that fences were major obstacles. Gazelles exhibited similar bouncing behaviour when confronted with paved roads as with fences, suggesting paved roads can act as semi-permeable barriers during high traffic volume. Broad-scale movement patterns revealed gazelles travelled considerable distances along fences—averaging 40.2 km, and up to 211.6 km—before moving away or crossing. Long-distance tracing movements can help identify areas with the strongest barrier effect and guide mitigation measures for current and future linear infrastructure. Designing infrastructure and implementing conservation strategies for ungulates in steppe ecosystems will benefit from taking into account behavioural responses at both fine and broad scales.</span></span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2025.2093","usgsCitation":"Sévêque, A., Mendgen, P., Freeman, I., Bayarbaatar, B., Kauffman, M.J., Olsen, K., Usukhjargal, D., Uuganbayar, G., Xu, W., Mueller, T., and Dejid, N., 2025, From fences to roads: Changes in barrier behaviour of Mongolian gazelle across different types of linear infrastructure in Mongolia: Proceedings of the Royal Society B: Biological Sciences, v. 292, no. 2059, 20252093, https://doi.org/10.1098/rspb.2025.2093.","productDescription":"20252093","ipdsId":"IP-180143","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":501972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              86.14815830860528,\n              52.011926051186464\n            ],\n            [\n              86.14815830860528,\n              41.82159331743961\n            ],\n            [\n              119.95403757641532,\n              41.82159331743961\n            ],\n            [\n              119.95403757641532,\n              52.011926051186464\n            ],\n            [\n              86.14815830860528,\n              52.011926051186464\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Ian","contributorId":335506,"corporation":false,"usgs":false,"family":"Freeman","given":"Ian","email":"","affiliations":[],"preferred":false,"id":958347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bayarbaatar, Buuveibaatar","contributorId":287848,"corporation":false,"usgs":false,"family":"Bayarbaatar","given":"Buuveibaatar","affiliations":[{"id":61638,"text":"Wildlife Conservation Society, Mongolia Program, Ulaanbaatar, Mongolia","active":true,"usgs":false}],"preferred":false,"id":958348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, 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