Warming rivers and interactions with non-native species impact salmonid species globally. Understanding how hydroclimatic conditions synergistically and independently interact with non-native species is critical for effectively managing salmonids into the future. We used a 10-year mark–recapture dataset to assess how native Yellowstone cutthroat trout (YCT) Oncorhynchus virginalis bouvieri and non-native brown trout Salmo trutta growth rates and apparent survival were affected by hydroclimatic conditions and (for YCT) the presence of brown trout in a tributary. Growth (YCT) and survival (both species across size classes) were negatively related to warming stream temperatures. Brown trout growth was positively related to increasing daily streamflow variability (a proxy for streamflow), but this variable was not included in the top YCT growth model. Density-dependent effects appeared to be non-existent (growth) or weakly positive (survival). When sympatric with brown trout, YCT displayed worse survival than allopatric YCT across environmental conditions. Broadly, we found native and non-native trout respond to different hydroclimatic conditions that shift with changing climatic conditions, and brown trout represent an additional threat to YCT survival.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0211","usgsCitation":"Heinle, K., Al-Chokhachy, R., Sepulveda, A., and Verhille, C.E., 2025, Native Yellowstone cutthroat trout Oncorhynchus virginalis bouvieri growth and survival in a headwater stream primarily driven by warming stream temperatures, with non-native brown trout Salmo trutta posing an additional threat to survival: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-17, https://doi.org/10.1139/cjfas-2024-0211.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-168237","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490403,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WUVM5S","text":"USGS data release","linkHelpText":"Trout mark-recapture and stream temperature and streamflow data from Duck Creek, Montana"},{"id":486636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"East Fork Duck Creek, Henry Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.38754194568855,\n 45.95593917254632\n ],\n [\n -110.38754194568855,\n 45.80046830120395\n ],\n [\n -110.17467211725662,\n 45.80046830120395\n ],\n [\n -110.17467211725662,\n 45.95593917254632\n ],\n [\n -110.38754194568855,\n 45.95593917254632\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinle, Kadie B.","contributorId":355955,"corporation":false,"usgs":false,"family":"Heinle","given":"Kadie B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":938444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":222450,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verhille, Christine E.","contributorId":174642,"corporation":false,"usgs":false,"family":"Verhille","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":13461,"text":"U.C. Davis","active":true,"usgs":false}],"preferred":false,"id":938447,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268784,"text":"70268784 - 2025 - Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA","interactions":[],"lastModifiedDate":"2025-07-08T15:50:15.049077","indexId":"70268784","displayToPublicDate":"2025-05-06T08:46:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA","docAbstract":"In landscapes recently impacted by continental glaciation, landslides may occur where topographic relief has been generated by the drainage of glacial lakes and ensuing post-glacial fluvial network development into unconsolidated glacially derived sediments and exhumed bedrock. To investigate linkages among environmental variables, post-glacial landscape development, and landslides, we created a landslide inventory of nearly 10,000 landslides in five regions of the formerly glaciated low-relief state of Minnesota, USA. Multivariate logistic regression indicates the importance of slope angle, lithology, and the development of stream valleys to landslide distribution. Areas underlain by fine-grained glaciolacustrine and nearshore deposits that are incised by streams are particularly prone to shallow (<1-2 m depth) landslides. Landslides also occur in a wide range of glacial and fluvial deposits, and as rockfall in layered Paleozoic sedimentary rocks in central and southern Minnesota and Precambrian igneous and sedimentary rocks in northeastern Minnesota. Although no more than 1-2% of the studied regions are susceptible to landslides, they can pose risk to life and safety, damage infrastructure, and impact water quality. The combination of recently generated low-relief steep slopes, extensive unconsolidated sediments, and layered sedimentary bedrock make this formerly glaciated landscape more susceptible to landslides than current national-scale models indicate.","language":"English","publisher":"Springer Nature","doi":"10.1007/s11069-025-07262-8","usgsCitation":"Triplett, L., Hammer, M.N., DeLong, S.B., Gran, K.B., Jennings, C.E., Engle, Z.T., Bartley, J., Blumentritt, D., Breckenridge, A., Day, S., Kohout, M., Larson, P., McDermott, J., and Richard, E., 2025, Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: Landslide inventory and susceptibility analysis in Minnesota, USA: Natural Hazards, v. 121, p. 11799-11827, https://doi.org/10.1007/s11069-025-07262-8.","productDescription":"29 p.","startPage":"11799","endPage":"11827","ipdsId":"IP-176536","costCenters":[{"id":237,"text":"Earthquake Science 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sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":941944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gran, Karen B.","contributorId":288093,"corporation":false,"usgs":false,"family":"Gran","given":"Karen","email":"","middleInitial":"B.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":true,"id":941945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, Carrie E.","contributorId":288092,"corporation":false,"usgs":false,"family":"Jennings","given":"Carrie","email":"","middleInitial":"E.","affiliations":[],"preferred":true,"id":941946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Zachary T. 0000-0002-6412-7727","orcid":"https://orcid.org/0000-0002-6412-7727","contributorId":300814,"corporation":false,"usgs":true,"family":"Engle","given":"Zachary","email":"","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":941947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bartley, Julie K.","contributorId":353117,"corporation":false,"usgs":false,"family":"Bartley","given":"Julie K.","affiliations":[{"id":84345,"text":"Gustavus Adolphus College","active":true,"usgs":false}],"preferred":false,"id":941948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blumentritt, Dylan J.","contributorId":353118,"corporation":false,"usgs":false,"family":"Blumentritt","given":"Dylan J.","affiliations":[{"id":61757,"text":"Winona State University","active":true,"usgs":false}],"preferred":false,"id":941949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breckenridge, Andy","contributorId":357609,"corporation":false,"usgs":false,"family":"Breckenridge","given":"Andy","affiliations":[{"id":33516,"text":"University of Wisconsin-Superior","active":true,"usgs":false}],"preferred":false,"id":941950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Day, Stephanie","contributorId":353120,"corporation":false,"usgs":false,"family":"Day","given":"Stephanie","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":941951,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kohout, Melissa A.","contributorId":353121,"corporation":false,"usgs":false,"family":"Kohout","given":"Melissa A.","affiliations":[{"id":84347,"text":"Mankato State University","active":true,"usgs":false}],"preferred":false,"id":941952,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Larson, Philip H.","contributorId":353122,"corporation":false,"usgs":false,"family":"Larson","given":"Philip H.","affiliations":[{"id":84348,"text":"Minnesota State University Mankato","active":true,"usgs":false}],"preferred":false,"id":941953,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDermott, Jeni A.","contributorId":353123,"corporation":false,"usgs":false,"family":"McDermott","given":"Jeni A.","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":941954,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Richard, Emilie","contributorId":300815,"corporation":false,"usgs":false,"family":"Richard","given":"Emilie","email":"","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":941955,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70267313,"text":"70267313 - 2025 - Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system","interactions":[],"lastModifiedDate":"2025-06-16T14:01:42.236379","indexId":"70267313","displayToPublicDate":"2025-05-06T08:31:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system","docAbstract":"Objective
Lampreys are an ecologically important group of fishes. Several species are imperiled and lack key distribution and habitat data. The terminal Goose Lake Basin, U.S.A. is home to two such species, the Goose Lake Lamprey, Entosphenus sp. (formally undescribed), and the Pit-Klamath Brook Lamprey, E. lethophagus. Species distribution models (SDMs) are useful for identifying key habitats; however, SDMs are subject to accuracy impairments caused by scale mismatches and spatial autocorrelation—both exacerbated by the hierarchical structure of dendritic stream networks. Our goal was to relate lamprey presence–absence to ecological drivers and predict the distribution of lampreys across the Goose Lake Basin.
Methods
Using a dataset pooling approach, we integrated count and presence–absence data from five surveys and relevant habitat variables from publicly available, geospatial datasets to build logistic regression models. To account for potential mismatches of scale, we compared three sample grains for slope and sinuosity (i.e., stream segment lengths: 250, 500, and 1,000 m), and two scales of elevation (site and watershed). We accounted for spatial autocorrelation by incorporating network-based and Euclidean spatial dependencies using a spatial stream network (SSN) modeling approach. Using the best-fit spatial and non-spatial models, we predicted basin-wide lamprey distribution.
Result
Flow, sinuosity at our largest sample grain (1,000 m), and watershed-scale elevation were positively associated with lamprey presence, whereas slope was negatively associated. The non-spatial model predicted lamprey presence among sinuous, low-gradient streams, whereas the spatial model, which identified Euclidean and flow-connected spatial relationships, predicted contiguous patches with a high probability of occurrence near areas with previously observed presences.
Conclusions
Our study revealed ecological relationships and produced an accurate basinwide SDM. Prediction and inference improved after accounting for spatial relationships across multiple scales. Developing accurate and efficient modeling strategies that incorporate the hierarchical structure inherent to stream ecosystems aids in the management and conservation of native fishes such as lampreys.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf017","usgsCitation":"Dickey, J., Clemens, B.J., Dumelle, M., and Davis, M.J., 2025, Modeling lamprey distribution using flow, geomorphology, and elevation in a terminal lake system: Transactions of the American Fisheries Society, v. 154, no. 3, p. 322-338, https://doi.org/10.1093/tafafs/vnaf017.","productDescription":"17 p.","startPage":"322","endPage":"338","ipdsId":"IP-170580","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Dickey, Jacob C.","contributorId":350824,"corporation":false,"usgs":false,"family":"Dickey","given":"Jacob C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":937699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumelle, Michael 0000-0002-3393-5529","orcid":"https://orcid.org/0000-0002-3393-5529","contributorId":355601,"corporation":false,"usgs":false,"family":"Dumelle","given":"Michael","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":937701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":937702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"supersededBy":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"lastModifiedDate":"2025-11-26T14:27:45.5494","indexId":"70266474","displayToPublicDate":"2025-05-06T08:30:40","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","docAbstract":"Bayesian hierarchical models are ubiquitous in ecology. Random effect model structures are often employed that treat individual effects as deviations from larger population-level effects. In this way individuals are assumed to be \"exchangeable\" samples. Ecologists may address this exchangeability assumption intuitively, but might in certain modeling contexts ignore it altogether, including in situations where it may have large implications for study design. Multispecies occupancy models based on detection/non-detection data are an approach that can be utilized by those tasked with monitoring rare and endangered species because most literature suggests that, compared to single species occupancy models, improved parameter estimates are assured. Yet, we illustrate through a power analysis how sampling requirements to detect experimental treatment effects vary tremendously depending on whether the species exchangeability assumption is met. The degree to which species in a community respond similarly to covariates governs the ability to accurately estimate parameters using multispecies occupancy models. Detecting small or moderate changes in occupancy resulting from habitat restoration treatments may be impossible for small datasets (e.g., < 36 sampling locations, each surveyed < 8 times) even with a paired treatment-control design if the exchangeability assumption is violated. By contrast, when the assumption is met, small effects may be confidently estimated with as few as 12 sampling locations (6 pairs) and 6-8 survey events. Often, it may be impossible to know whether the exchangeability assumption is met. The statistical power needed to accurately estimate species-specific effects using detection/non-detection multispecies occupancy models depends on the unknown values of treatment effects and whether responses by species in the community diverge. When the species exchangeability assumption is violated, and at lower levels of sampling effort, multispecies occupancy models may provide worse inference than single species occupancy models.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.04.30.651473","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design: BioRxiv, preprint posted May 06, 2025, https://doi.org/10.1101/2025.04.30.651473.","productDescription":"31 p.","ipdsId":"IP-176524","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488154,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.04.30.651473","text":"Publisher Index Page"},{"id":485549,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":274356,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266399,"text":"70266399 - 2025 - Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","interactions":[],"lastModifiedDate":"2025-05-06T15:22:14.58738","indexId":"70266399","displayToPublicDate":"2025-05-05T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","docAbstract":"Mauna Loa is one of the largest and most active volcanoes on Earth. The most recent eruption of Mauna Loa started on 27 November 2022, lasted for 13 days, and was preceded by the longest repose time of 38 years in its modern history. In this contribution, new trace- and highly siderophile-element (HSE: Os, Ir, Ru, Pt, Pd, Re) abundances, 187Re-187Os, and 18O/16O data are reported for the 2022 lavas. These lavas have a limited range of MgO (6.2 ± 0.1 wt.%) and Ni (83 ± 2 µg/g), with a broader range of Re (0.3 to 1.3 ng/g) and consistent Os (0.031 to 0.080 ng/g) contents. They have 187Os/188Os ratios (0.1345 to 0.1385) which are, on average, more radiogenic than Mauna Loa picrites (0.1331 to 0.1349) and are similar in composition to more differentiated Mauna Loa tholeiite lavas (0.1340 to 0.1381). The oxygen isotope compositions of glassy samples are 5.35 ± 0.15‰ (n = 13) and span a range in δ18O of + 5.0 to + 5.5‰, with an average composition 0.2 to 0.3‰ lower than MORB. The δD value is − 81 ± 11‰ (n = 5) at very low (0.03 ± 0.015 wt.%) H2O concentrations. The 2022 Mauna Loa eruption is similar in terms of δ18O but contrasts in terms of 187Os/188Os variability, with the recent longer-lived eruptions on La Palma (Canary Islands; 85 days) in 2021 and on the Reykjanes Peninsula (Iceland) that began in 2021 and are still ongoing. Initial lavas were more fractionated for both the Canary Islands and Iceland eruptions, producing more radiogenic Os isotope compositions than later erupted products. The 2022 Mauna Loa eruption showed no such trends. The limited range in isotope compositions of the 2022 Mauna Loa lavas and their strongly fractioned HSE patterns reflect long-term storage, crystal fractionation, and assimilation of related basaltic volcanic edifice materials by the parent magma beneath the volcano prior to eruption triggering. Eruption of differentiated and homogeneous tholeiite lavas at the summit caldera and high on the volcano’s flank, with emplacement of accumulative picrites lower on the volcano, are consistent with neutral buoyancy arguments.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01825-0","usgsCitation":"Rhoads, E., Kutyrev, A., Bindeman, I.N., Lynn, K.J., Trusdell, F., Downs, D.T., Edwards, H., Cook, G., and Day, J., 2025, Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage: Bulletin of Volcanology, v. 87, 38, 19 p., https://doi.org/10.1007/s00445-025-01825-0.","productDescription":"38, 19 p.","ipdsId":"IP-169680","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01825-0","text":"Publisher Index Page"},{"id":485454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.70545026795776,\n 19.707077790926633\n ],\n [\n -155.70545026795776,\n 19.36043617244789\n ],\n [\n -155.41439917963822,\n 19.36043617244789\n ],\n [\n -155.41439917963822,\n 19.707077790926633\n ],\n [\n -155.70545026795776,\n 19.707077790926633\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rhoads, Emily A.","contributorId":354537,"corporation":false,"usgs":false,"family":"Rhoads","given":"Emily A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kutyrev, Anton","contributorId":354538,"corporation":false,"usgs":false,"family":"Kutyrev","given":"Anton","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Hunter R.","contributorId":354541,"corporation":false,"usgs":false,"family":"Edwards","given":"Hunter R.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cook, Geoffrey W.","contributorId":354544,"corporation":false,"usgs":false,"family":"Cook","given":"Geoffrey W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Day, James M.D.","contributorId":354545,"corporation":false,"usgs":false,"family":"Day","given":"James M.D.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935836,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268080,"text":"70268080 - 2025 - Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","interactions":[],"lastModifiedDate":"2025-09-22T15:19:55.957196","indexId":"70268080","displayToPublicDate":"2025-05-05T09:19:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3531,"text":"Terra Nova","active":true,"publicationSubtype":{"id":10}},"title":"Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","docAbstract":"Pressure–temperature–time-deformation histories provide key constraints on orogenic processes but can be affected by later overprinting. This is exemplified in the Proterozoic orogenic belts of southwestern Laurentia where competing tectonic models involve either a single progressive Mesoproterozoic event, the Picuris orogeny, or a polyorogenic history that also includes the ~1.65 Ga Mazatzal orogeny. We address this controversy with structural analysis and petrochronology in the type locality of the Picuris orogeny. Xenotime and monazite domains associated with the greenschist-facies axial planar fabric of early F1 folds yield 1644 ± 11 Ma (xenotime) and 1641 ± 15 Ma (monazite) ages and 450°C–482°C temperatures recording metamorphism and shortening associated with the Mazatzal orogeny. This Palaeoproterozoic greenschist-facies assemblage was overprinted by higher grade, protracted (1470–1350 Ma) tectonism that included the Picuris orogeny. Our results document the complex polyphase crustal assembly of Laurentia and highlight how petrochronology can effectively see through higher grade overprints to identify a more complete orogenic evolution.
","language":"English","publisher":"Wiley","doi":"10.1111/ter.12778","usgsCitation":"Hillenbrand, I.W., Williams, M., Gilmer, A.K., Karlstrom, K.E., Jercinovic, M.J., and Young, D., 2025, Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico: Terra Nova, v. 37, no. 5, p. 304-315, https://doi.org/10.1111/ter.12778.","productDescription":"12 p.","startPage":"304","endPage":"315","ipdsId":"IP-172431","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.85,\n 36.308\n ],\n [\n -105.85,\n 36.1667\n ],\n [\n -105.6333,\n 36.1667\n ],\n [\n -105.6333,\n 36.308\n ],\n [\n -105.85,\n 36.308\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Michael L","contributorId":356814,"corporation":false,"usgs":false,"family":"Williams","given":"Michael L","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":940154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":940157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Daniel J","contributorId":356815,"corporation":false,"usgs":false,"family":"Young","given":"Daniel J","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273074,"text":"70273074 - 2025 - Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","interactions":[],"lastModifiedDate":"2025-12-12T18:40:08.446372","indexId":"70273074","displayToPublicDate":"2025-05-04T11:33:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","docAbstract":"Intensive agriculture in the Prairie Pothole Region of Iowa, USA has resulted in significant wetland drainage and wildlife population declines. However, easement programs are increasingly used to protect and restore wetlands and revitalize biodiversity. Short-term responses (i.e., 1–5 years) of birds to wetland restorations are well-documented, but long-term trends are less understood. We surveyed wetland easements in Iowa during 2007–2009 and 2022–2023 to assess changes in breeding bird communities and occupancy for conservation-priority species. We conducted bird point counts and vegetation surveys at 55 wetland easements. We used species accumulation curves to estimate overall breeding bird richness by guild, and site-occupancy models to estimate occupancy for 20 conservation-priority species. Species richness remained stable between time periods, but community composition shifted, with fewer grassland and more forest bird species despite no change in woody vegetation cover estimates (2007–2009: 3.2%, standard deviation [SD] = 5.9; 2022–2023: 3.1%, SD = 3.8). Occupancy for most species at wetland easements remained stable over time; however, 4 species declined (e.g., Cistothorus stellaris [Sedge Wren]). Six grassland bird species (e.g., Sturnella magna [Eastern Meadowlark]) exhibited positive or stable occupancy trends. Forest-dependent species generally maintained or increased in occupancy (e.g., Icterus galbula [Baltimore Oriole]). Increased forest bird richness despite stable woody vegetation cover may indicate changing structural characteristics as existing forests mature, whereas management to control woody encroachment at wetland easements may explain our observations of stable forest bird occupancy. Wetland easements may be strongholds for some grassland bird species, which are in precipitous decline across North America. Our study highlights the importance of wetland easements in an agricultural landscape to breeding bird communities and emphasizes the value of continued monitoring to track changes over time.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf034","usgsCitation":"Gapinski, L.A., Kinkead, K.E., Janke, A.K., Dinsmore, S.J., Bishop, T., and Tucker, A.M., 2025, Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements: Ornithological Applications, v. 127, no. 3, duaf034, 15 p., https://doi.org/10.1093/ornithapp/duaf034.","productDescription":"duaf034, 15 p.","ipdsId":"IP-169149","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf034","text":"Publisher Index Page"},{"id":497497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.75770786982824,\n 43.54695571723664\n ],\n [\n -95.75770786982824,\n 40.01246322199273\n ],\n [\n -91.52690414553632,\n 40.01246322199273\n ],\n [\n -91.52690414553632,\n 43.54695571723664\n ],\n [\n -95.75770786982824,\n 43.54695571723664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gapinski, Lindsey A.W.","contributorId":364117,"corporation":false,"usgs":false,"family":"Gapinski","given":"Lindsey","middleInitial":"A.W.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinkead, Karen E.","contributorId":364120,"corporation":false,"usgs":false,"family":"Kinkead","given":"Karen","middleInitial":"E.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janke, Adam K.","contributorId":364123,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","middleInitial":"K.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinsmore, Stephen J.","contributorId":364126,"corporation":false,"usgs":false,"family":"Dinsmore","given":"Stephen","middleInitial":"J.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Todd","contributorId":364129,"corporation":false,"usgs":false,"family":"Bishop","given":"Todd","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":952245,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267823,"text":"70267823 - 2025 - Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","interactions":[],"lastModifiedDate":"2025-06-03T15:34:51.475791","indexId":"70267823","displayToPublicDate":"2025-05-04T08:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","docAbstract":"Eocene magmatic systems contemporaneous with world-class Carlin-type Au deposits in Nevada (USA) have been proposed by some researchers as a key ingredient for Au mineralization, though evidence conclusively demonstrating their genetic relationship remains tenuous. This study provides the first direct evidence of the pre-eruptive metal budget of volatile- and metal-charged silicic magmas coincident in time (~41 to 34 Ma) and space (within 5 km) with Carlin-type Au deposits. We characterize the pre-eruptive metal fingerprints of these diverse magmatic systems to assess their potential as sources of metals for Carlin-type Au mineralization. Metal abundances from quartz-hosted melt inclusions (Au, Te, Ag, Sb, Tl, Mo, W, Sn, As, Pb, Co, Cu, Ni, and Zn) characterized in situ by SHRIMP-RG and LA-ICP-MS represent our best (and only) estimates for the pre-eruptive metal budget in these systems. Median metal concentrations are generally within one order of magnitude of average upper crust and average continental rhyolite values. But there are two notable exceptions, with median Au contents extending >1 order of magnitude higher than average upper crust and median Cu contents ranging >1 order of magnitude lower than upper crust. Despite this, melts contain lower Au/Cu (<0.1), Au/Ag (<5), and Au/Tl (<0.3) than most ore-grade Carlin-type rock samples and quartz-hosted fluid inclusions, regardless of their age and timing relative to nearby Carlin-type Au mineralization. The metal fingerprints of these magmatic systems, de-fined both by traditional and multivariate compositional data analysis techniques, are distinct from one another. Yet none are particularly specialized, e.g., high Au/Cu, in terms of being ideal ingredients as postulated by magmatic models for Carlin-type Au mineralization. Magmatic Au contents do not appear to be correlated with rhyolite “flavors” in the way that Cu, Sn, and Nb contents are. Fluid/melt partitioning modeling and magma volume estimates support the idea that a diverse array of non-specialized silicic magmas could feasibly contribute some or potentially all of the Au, Ag, and Cu in Carlin-type systems. The compositional diversity among contemporaneous magmatic systems could possibly contribute to some of the diversity observed across Carlin-type Au districts in Nevada.","language":"English","publisher":"MDPI","doi":"10.3390/min15050479","usgsCitation":"Mercer, C.N., Babel, H., Mercer, C.M., and Hofstra, A.H., 2025, Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA: Minerals, v. 15, no. 5, 479, 29 p., https://doi.org/10.3390/min15050479.","productDescription":"479, 29 p.","ipdsId":"IP-170125","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490665,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min15050479","text":"Publisher Index Page"},{"id":490404,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWAW28","text":"USGS data release","linkHelpText":"Melt inclusion and mineral geochemical analyses supporting the evaluation of petrogenesis, degassing, and metallogenic potential of mid-Cenozoic rhyolite magmas in northern Nevada, USA (ver. 2.0, March 2025)"},{"id":489471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-04","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":939032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babel, Hannah R.","contributorId":356285,"corporation":false,"usgs":false,"family":"Babel","given":"Hannah R.","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":939033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":939035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266466,"text":"70266466 - 2025 - Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","interactions":[],"lastModifiedDate":"2025-05-07T18:18:46.33843","indexId":"70266466","displayToPublicDate":"2025-05-03T11:14:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","docAbstract":"This work presents geomorphological analyses of an area at the boundary between Arcadia Planitia and northern Amazonis Planitia, situated in the northern mid-latitudes of Mars. Recent studies have indicated the presence of substantial volumes of near-surface excess ice in Arcadia Planitia, making this region a promising candidate for future human and robotic exploration. This study focuses on three specific candidate landing sites adjacent to the Arcadia Planitia: AP-1, AP-8, and AP-9. We have identified a wide range of ice-related morphologies, providing further evidence for the occurrence of excess ice in the study area. We have mapped and measured ∼9,000 thermal contraction polygons. We estimate ice beneath these polygons to be on the order of tens of cm from the surface, which is sufficiently shallow to be accessible for potential in situ resource utilization (ISRU). Recent impact craters that have been excavated into ice further suggest the presence of near-surface ice. Finally, the occurrence of ice and processes such as ice sublimation are likely responsible for the formation and subsequent modification of several observed features, including expanded craters, brain coral terrain, arcuate ridges, and thermal contraction polygons modified by sublimation. These results provide valuable insights into the ice distribution in the northern mid-latitudes and support the potential utilization of accessible ice resources for future human exploration efforts.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008724","usgsCitation":"Luzzi, E., Heldmann, J.L., Williams, K.E., Nodjoumi, G., Deutsch, A., and Sehlke, A., 2025, Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars: JGR Planets, v. 130, no. 5, e2024JE008724, 38 p., https://doi.org/10.1029/2024JE008724.","productDescription":"e2024JE008724, 38 p.","ipdsId":"IP-163826","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":490104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008724","text":"Publisher Index Page"},{"id":485515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Luzzi, Erica","contributorId":354637,"corporation":false,"usgs":false,"family":"Luzzi","given":"Erica","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldmann, Jennifer L.","contributorId":197096,"corporation":false,"usgs":false,"family":"Heldmann","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":936046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":936048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nodjoumi, Giacomo","contributorId":354639,"corporation":false,"usgs":false,"family":"Nodjoumi","given":"Giacomo","affiliations":[{"id":84644,"text":"Constructor University, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":936049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deutsch, Ariel","contributorId":354640,"corporation":false,"usgs":false,"family":"Deutsch","given":"Ariel","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sehlke, Alexander","contributorId":354638,"corporation":false,"usgs":false,"family":"Sehlke","given":"Alexander","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266346,"text":"70266346 - 2025 - One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","interactions":[],"lastModifiedDate":"2025-05-05T14:19:08.992831","indexId":"70266346","displayToPublicDate":"2025-05-03T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","docAbstract":"The rate of technological innovation within aquatic sciences outpaces the collective ability of individual scientists within the field to make appropriate use of those technologies. The process of in situ lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local scales; however, the impact of climate change on lakes necessitates the rapid advancement of understanding and the incorporation of lakes on both landscape and global scales. Three fields driving innovation within winter limnology that we address here are autonomous real-time in situ monitoring, remote sensing, and modeling. The recent progress in low-power in situ sensing and data telemetry allows continuous tracing of under-ice processes in selected lakes as well as the development of global lake observational networks. Remote sensing offers consistent monitoring of numerous systems, allowing limnologists to ask certain questions across large scales. Models are advancing and historically come in different types (process-based or statistical data-driven), with the recent technological advancements and integration of machine learning and hybrid process-based/statistical models. Lake ice modeling enhances our understanding of lake dynamics and allows for projections under future climate warming scenarios. To encourage the merging of technological innovation within limnological research of the less-studied winter period, we have accumulated both essential details on the history and uses of contemporary sampling, remote sensing, and modeling techniques. We crafted 100 questions in the field of winter limnology that aim to facilitate the cross-pollination of intensive and extensive modes of study to broaden knowledge of the winter period.
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Understanding reproductive traits of vulnerable species, particularly long-lived species, may provide insight for implementing management actions to respond to potential overharvest. This study aimed to assess the reproductive characteristics of a stable population of long-lived blue suckers (Cycleptus elongatus) in the unchannelized Missouri River in South Dakota. We obtained demographic information and gonads from 182 blue suckers collected in trammel nets in March 2021 and 2022. We used Bayesian generalized linear mixed-effects models to assess length and weight relationships with gonadosomatic index (GSI) and fecundity and used spawning potential ratios to model the influence of four minimum length limit scenarios. Total lengths of sampled fish ranged from 560 to 821 mm. Female GSI increased with length to ∼730 mm before declining, and male GSI remained consistent across lengths. Fecundity increased linearly with weight and with length to around 750 mm, after which the rate of increase slowed. Using a recent natural mortality estimate for this population, the spawning potential ratio under current no-limit regulations decreased rapidly as fishing mortality approached 0.10 but implementing a minimum length limit (e.g. 610- or 660 mm) could prevent the spawning potential ratio from falling below acceptable limits (0.2–0.3) at moderate-to-high fishing mortality values. This study provides necessary information about the reproductive characteristics of vulnerable, non-game species and demonstrates how spawning potential ratio modeling can be used for species that receive less management focus.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107386","usgsCitation":"LaBrie, L.A., Carlson, T., Wesner, J., Pasbrig, C., Chipps, S.R., and Schall, B., 2025, Reproductive characteristics and spawning potential ratio modeling of a vulnerable riverine specialist in the lower unchannelized Missouri River, USA: Fisheries Research, v. 286, 107386, 11 p., https://doi.org/10.1016/j.fishres.2025.107386.","productDescription":"107386, 11 p.","ipdsId":"IP-171427","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493714,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.4400699587332,\n 43.13427424948017\n ],\n [\n -98.4400699587332,\n 42.33478692919812\n ],\n [\n -96.64857711623827,\n 42.33478692919812\n ],\n [\n -96.64857711623827,\n 43.13427424948017\n ],\n [\n -98.4400699587332,\n 43.13427424948017\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":945065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Tanner L.","contributorId":359232,"corporation":false,"usgs":false,"family":"Carlson","given":"Tanner L.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesner, Jeff S.","contributorId":342343,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff S.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":945067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasbrig, Chelsey A.","contributorId":359233,"corporation":false,"usgs":false,"family":"Pasbrig","given":"Chelsey A.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":945068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schall, Benjamin J.","contributorId":359236,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin J.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":945070,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264176,"text":"70264176 - 2025 - Overview of The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2025-05-28T15:02:07.197713","indexId":"70264176","displayToPublicDate":"2025-05-02T10:46:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Overview of The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest earthquake sequence","docAbstract":"We present initial findings from the ongoing Community Stress Drop Validation Study to compare spectral stress‐drop estimates for earthquakes in the 2019 Ridgecrest, California, sequence. This study uses a unified dataset to independently estimate earthquake source parameters through various methods. Stress drop, which denotes the change in average shear stress along a fault during earthquake rupture, is a critical parameter in earthquake science, impacting ground motion, rupture simulation, and source physics. Spectral stress drop is commonly derived by fitting the amplitude‐spectrum shape, but estimates can vary substantially across studies for individual earthquakes. Sponsored jointly by the U.S. Geological Survey and the Statewide (previously, Southern) California Earthquake Center our community study aims to elucidate sources of variability and uncertainty in earthquake spectral stress‐drop estimates through quantitative comparison of submitted results from independent analyses. The dataset includes nearly 13,000 earthquakes ranging from M 1 to 7 during a two‐week period of the 2019 Ridgecrest sequence, recorded within a 1° radius. In this article, we report on 56 unique submissions received from 20 different groups, detailing spectral corner frequencies (or source durations), moment magnitudes, and estimated spectral stress drops. Methods employed encompass spectral ratio analysis, spectral decomposition and inversion, finite‐fault modeling, ground‐motion‐based approaches, and combined methods. Initial analysis reveals significant scatter across submitted spectral stress drops spanning over six orders of magnitude. However, we can identify between‐method trends and offsets within the data to mitigate this variability. Averaging submissions for a prioritized subset of 56 events shows reduced variability of spectral stress drop, indicating overall consistency in recovered spectral stress‐drop values.
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However, the uncertainties in these parameters estimated from the radiated seismic wavefield are large due to variability in approaches, including site and attenuation characterizations, and so estimates for an individual earthquake made by different studies can vary greatly. Estimating spectral source parameters remains a popular topic, due to a combination of their intrinsic importance and their apparent ease of measurement, but also a controversial one, due to many sources of variability and large uncertainty. The available methods coupled with necessary parameter choices and assumptions in the analysis make it challenging for researchers to apply methods or understand the reliability in results or reported source parameters. This Special Section on Improving Measurements of Earthquake Source Parameters showcasing comparisons between methods and studies seeks to alleviate some of these difficulties to help the community identify the important components and trade‐offs of decomposing recorded seismograms into their source, path, and site components.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250055","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Oth, A., and Uchide, T., 2025, Introduction to the special section on improving measurements of earthquake source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 723-733, https://doi.org/10.1785/0120250055.","productDescription":"11 p.","startPage":"723","endPage":"733","ipdsId":"IP-177219","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":485558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":936169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":936170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oth, Adrien 0000-0003-4859-6504","orcid":"https://orcid.org/0000-0003-4859-6504","contributorId":352096,"corporation":false,"usgs":false,"family":"Oth","given":"Adrien","affiliations":[{"id":84096,"text":"Walferdange Luxembourg","active":true,"usgs":false}],"preferred":false,"id":936171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uchide, Takahiko","contributorId":293567,"corporation":false,"usgs":false,"family":"Uchide","given":"Takahiko","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":936172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266394,"text":"70266394 - 2025 - An early Holocene wet period in the southwestern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:42:14.492448","indexId":"70266394","displayToPublicDate":"2025-05-02T08:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"An early Holocene wet period in the southwestern United States","docAbstract":"Multiple generations of spring-fed streams traversed ∼800 km2 of the Las Vegas Valley in southern Nevada between ca. 10.9 ka and 8.5 ka, depositing an extensive tufa network. The scale of this network and diversity of tufa morphologies is novel in North America and offers an opportunity to obtain quantitative paleoclimate data for the region during the early Holocene. We determined isotopic compositions and estimated past temperatures using clumped isotope data from early Holocene tufa on the valley floor (698 m) as well as tufa forming today at higher elevation in the nearby Spring Mountains at Cold Creek Spring (1856 m). Modern and fossil tufa yielded comparably low δ18O values, implying that source waters for both were derived from high-elevation winter precipitation. Clumped isotope temperatures of modern tufa average 15.8 ± 2.5 °C, aligning with mean summer temperatures of the emergent spring water, and indicate equilibrium conditions of tufa formation. The early Holocene tufa yielded similar clumped isotope temperatures, averaging 15.2 ± 3.9 °C, meaning it precipitated at temperatures that occur at much higher elevations today. The Las Vegas tufa record, combined with nearby and temporally correlative paleospring and lacustrine records, suggest that cool/wet conditions prevailed throughout the Mojave Desert during the early Holocene. These records also demonstrate that spring ecosystems responded to millennial-scale hydroclimate variations that supersede climate change driven solely by insolation. The previously unrecognized pattern of ecosystem response to hydroclimate documented here may assist in understanding climate drivers for the early Holocene and provide critical information for the fate of groundwater-dependent ecosystems in the southwestern United States.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53174.1","usgsCitation":"Springer, K.B., Hudson, A.M., Pigati, J.S., Huntington, K.W., and Schauer, A.J., 2025, An early Holocene wet period in the southwestern United States: Geology, v. 53, no. 8, p. 631-635, https://doi.org/10.1130/G53174.1.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-147460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":485440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.75,\n 36.75\n ],\n [\n -115.75,\n 36\n ],\n [\n -115,\n 36\n ],\n [\n -115,\n 36.75\n ],\n [\n -115.75,\n 36.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":935813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":935814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272582,"text":"70272582 - 2025 - Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","interactions":[],"lastModifiedDate":"2025-11-24T15:39:23.408333","indexId":"70272582","displayToPublicDate":"2025-05-02T08:25:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","docAbstract":"Louisiana black bears (Ursus americanus luteolus) occur in semi-isolated fragments of bottomland hardwood forest in the lower Mississippi Alluvial Valley and were listed as threatened under the United States Endangered Species Act in 1992. A population viability analysis based on radio-telemetry and capture-mark-recapture (CMR) data collected from 2002 to 2012 revealed that the probability of bears persisting in at least 1 subpopulation was >0.999, which prompted the United States Fish and Wildlife Service to remove the Louisiana black bear from the threatened species list in 2016. A post-delisting monitoring plan was developed, which included continued noninvasive CMR surveys to monitor subpopulation trends. We used genetic CMR data based on non-invasively collected hair samples for a post-delisting assessment of the demographic status of the black bear subpopulations in Louisiana, USA. The assessment included primary range in the Tensas River Basin (TRB; 2006–2020), the Upper Atchafalaya River Basin (UARB; 2007–2020), and the Three Rivers Complex (TRC; 2014 and 2021), where bears had been reintroduced beginning in 2001, and adjacent areas of possible range expansion (i.e., secondary range). We used spatially explicit closed-population capture-recapture models to estimate abundance (N), density (D), and the realized population growth rate (λ) for female bears at TRB, UARB, and TRC. Model-averaged estimates of N for primary range at TRB ranged from 135 (95% CI = 121–149) female bears in 2006 to 140 (95% CI = 123–157) in 2020 with mean λ of 1.003 (95% CI = 0.991–1.015), which suggested a stable primary population. An estimated 56 (95% CI = 19–92) additional female bears occurred in secondary range at TRB in 2020. Model-averaged estimates of N for primary range at UARB ranged from 35 (95% CI = 28–43) females in 2007 to 33 (95% CI = 28–43) in 2020, with mean λ = 0.996 (95% CI = 0.972–1.020), again suggesting a stable population. We estimated 3 (95% CI = 0–6) additional female bears occurred in secondary range at UARB during 2020. The estimate of N at TRC was 28 (95% CI = 18–44) females in 2014 and 42 (95% CI = 19–94) in 2021. The number of bears in the secondary ranges suggests some bears may have emigrated from the primary areas and colonized secondary areas, likely facilitated by increases in bottomland hardwood forests adjacent to the core populations. The stable primary populations, the reintroduced population at TRC, and the number of bears in secondary range adjacent to TRB indicate the overall number of Louisiana black bears has increased since monitoring began.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70023","usgsCitation":"Clark, J.D., Adams, H.L., Augustine, B., Berry, J.R., Champagne, D., Davidson, M., Hanks, J., Laufenberg, J.S., and Murphy, S.M., 2025, Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear: Journal of Wildlife Management, v. 89, no. 5, e70023, 19 p., https://doi.org/10.1002/jwmg.70023.","productDescription":"e70023, 19 p.","ipdsId":"IP-167830","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.838224038886,\n 32.76704554295411\n ],\n [\n -92.00742445013995,\n 31.79517824097138\n ],\n [\n -91.838224038886,\n 30.560509464604237\n ],\n [\n -91.33801935478277,\n 30.560509464604237\n ],\n [\n -91.4335879079766,\n 31.604282104237825\n ],\n [\n -90.97400724274002,\n 32.3050125648729\n ],\n [\n -91.838224038886,\n 32.76704554295411\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Heidi L.","contributorId":362940,"corporation":false,"usgs":false,"family":"Adams","given":"Heidi","middleInitial":"L.","affiliations":[{"id":54517,"text":"Louisiana Tech University","active":true,"usgs":false}],"preferred":false,"id":950852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":950853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, John R. III","contributorId":362941,"corporation":false,"usgs":false,"family":"Berry","given":"John","suffix":"III","middleInitial":"R.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champagne, Dustin","contributorId":362942,"corporation":false,"usgs":false,"family":"Champagne","given":"Dustin","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria","contributorId":139273,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":950857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":950858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950859,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264061,"text":"70264061 - 2025 - Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","interactions":[],"lastModifiedDate":"2025-03-05T15:27:14.791487","indexId":"70264061","displayToPublicDate":"2025-05-02T08:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","docAbstract":"Household well water can be degraded by contaminants from the land's surface, but private well owners lack means to protect the source water from neighboring disturbances. Rural residents of southwestern Wisconsin, USA, rely on private well water, and the combination of land use and fractured carbonate bedrock makes groundwater vulnerable to contamination. To identify the extent, sources, and risk factors of private well contamination, randomly selected wells sampled during two-day periods in fall (n = 301) and spring (n = 529) were analyzed for nitrate and indicator bacteria, and a subset (n = 138) was sampled across four seasonal events for analysis of pathogens and microbial source tracking markers by quantitative polymerase chain reaction. Risk factors representing land use, hydrology, geology, and well construction were analyzed for associations with contamination in multivariable models. The importance of risk factors varied by contaminant, illustrating the multifaceted nature of rural groundwater quality. Nitrate contamination was associated with agricultural land use, and wells with casings that extended below a shale aquitard accessed less contaminated water than those drawing water from above it. Human fecal microbes were detected in 64 wells (46%), and rainfall was the key risk factor for contamination, indicating that wastewater from septic systems was available to contaminate wells when transport conditions were favorable. Manure microbes from cattle/ruminants and pigs were detected in 33 and 13 wells, respectively, and concentrations increased with the hectarage of cultivated land near wells. Pathogen genes for viruses, bacteria, and protozoa were detected in 66 wells (48%), including more detections of zoonotic than human-specific pathogens, and human Bacteroides, an indicator of wastewater, was an equivocal predictor of pathogen presence in private wells. Characterizing important elements of the setting, like geology, and identifying sources and risk factors for contaminants can inform landscape-level policies to protect groundwater quality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123202","usgsCitation":"Stokdyk, J.P., Firnstahl, A.D., Bradbury, K., Muldoon, M.A., Kieke Jr., B., and Borchardt, M.A., 2025, Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA: Water Research, v. 275, 123202, 13 p., https://doi.org/10.1016/j.watres.2025.123202.","productDescription":"123202, 13 p.","ipdsId":"IP-171110","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":482899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Grant County, Iowa County, Lafayette County","otherGeospatial":"southwestern 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decipher salinization for coastal Louisiana","docAbstract":"Coastal Louisiana is known for saltwater intrusion that threatens wetlands, aquifers, and rivers. However, the extent of saltwater intrusion is not well understood. This study develops an innovative framework with airborne electromagnetic (AEM) data to map chloride concentration distributions for wetlands in the Mississippi River deltaic plain and Chenier plain as well as for the Mississippi River Valley alluvial aquifer (MRVA) and Chicot aquifer. Moreover, the framework maps chloride concentrations along the Mississippi River and Atchafalaya River. Key components in the framework include the establishment of resistivity-to-chloride concentration transformation, 3D resistivity architecture building through geostatistics, and the employment of a lithologic model. The transformation functions correlate AEM resistivity data with porewater salinity measurements and groundwater and river chloride samples. The results show that AEM data reliably infers soil water chloride concentrations and correlates well with the distribution of various marsh types. AEM data reveals extensive saltwater presence at depth and near the coast, originating from salt domes and the Gulf of Mexico, respectively. The saltwater upconing pattern in the Chicot aquifer is likely due to excessive groundwater withdrawals. The AEM data also confirms a distinct tongue of saltwater intruding into the Atchafalaya Basin from the Gulf. The AEM data helps to identify faults that are obscured or eroded at the surface, which appear as leaky barriers in the subsurface where dramatic changes in chloride concentration are apparent. Finally, this study uses the AEM data to infer the presence of an extensive seawater wedge in the Mississippi River and Atchafalaya River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123215","usgsCitation":"Attia, M., Tsai, F.T., Yang, S., Minsley, B.J., and Kress, W., 2025, Airborne geophysical analysis to decipher salinization for coastal Louisiana: Water Research, v. 271, 123215, 15 p., https://doi.org/10.1016/j.watres.2025.123215.","productDescription":"123215, 15 p.","ipdsId":"IP-172321","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":489931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2025.123215","text":"Publisher Index Page"},{"id":481808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"coastal Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.73623237534059,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 30.56098510625779\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"271","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Attia, Michael","contributorId":350698,"corporation":false,"usgs":false,"family":"Attia","given":"Michael","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Frank T.-C.","contributorId":305938,"corporation":false,"usgs":false,"family":"Tsai","given":"Frank","email":"","middleInitial":"T.-C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Shuo","contributorId":350699,"corporation":false,"usgs":false,"family":"Yang","given":"Shuo","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":926679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":926680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926681,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265915,"text":"cir1551 - 2025 - U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","interactions":[],"lastModifiedDate":"2025-09-11T19:01:41.957549","indexId":"cir1551","displayToPublicDate":"2025-05-01T11:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1551","displayTitle":"U.S. Geological Survey Colorado River Basin Science and Technology Collaboration Meetings on Drought (2021)—Synthesis of Findings","title":"U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","docAbstract":"Ongoing, prolonged, and severe drought and water overuse during the first two decades of the 21st century have reduced water supplies of the Colorado River Basin, with effects cascading to ecosystems and human communities throughout the basin. In June and July 2021, the U.S. Geological Survey (USGS) Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative team held a series of 12 collaboration meetings with USGS scientists and managers to discuss complicated, integrated science challenges and solutions related to drought in the Colorado River Basin. These Science and Technology collaboration meetings were structured to identify challenges experienced by meeting participants when working on complex problems, explore opportunities for coproducing scientific information, and envision future collaborative programs that leverage new technology. The 12 meetings were attended by 79 USGS staff representing 43 unique affiliations (for example, USGS science centers, mission areas, and regional offices). Meeting participants submitted 865 individual responses to six general discussion prompt topics (“Challenges,” “Knowledge Gaps,” “Existing Capabilities,” “Strategies and Actions,” “Example Applications,” and “Next Steps”) using a structured online collaboration tool. However, specific questions or tasks from each general discussion prompt varied by meeting topic. Terms from the USGS Thesaurus (https://apps.usgs.gov/thesaurus/) and USGS Data Lifecycle Model (https://www.usgs.gov/data-management/data-lifecycle) were used to identify and summarize participant responses relevant to science integration, stakeholder engagement, and information management technology. From these responses, opportunities for the Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative to facilitate science integration in the Colorado River Basin are highlighted in this report, including (a) pursuing specific interdisciplinary research topics that require integrating knowledge across spatial and temporal scales, (b) connecting scientists across disciplines, (c) reducing barriers to stakeholder engagement, (d) identifying new technologies, and (e) facilitating data access. Multiple strategies for designing future Science and Technology collaboration meetings are also outlined in this circular to better collect and analyze participant responses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1551","usgsCitation":"Monroe, A.P., Alexander, J.S., Anderson, E.D., Anderson, P.J., Andrews, W.J., Driscoll, J.M., Frus, R.J., Hevesi, J.A., Jones, D.K., Thomas, K.A., Tillery, A.C., Torregrosa, A., and Dahm, K.G., 2025, U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings: U.S. Geological Survey Circular 1551, 17 p., https://doi.org/10.3133/cir1551.","productDescription":"Report: iv, 17 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-159062","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":485359,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1551/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1551"},{"id":484771,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QIBOJY","text":"USGS data release","linkHelpText":"Summary of Responses at the 2021 Colorado River Basin Science and Technology Meetings"},{"id":484770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.pdf","text":"Report","size":"3.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1551"},{"id":484769,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1551/coverthb.jpg"},{"id":485258,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.xml"},{"id":485257,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1551/images"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.84288087645007,\n 39.71384827828035\n ],\n [\n -105.7152848621287,\n 40.31627361955492\n ],\n [\n -107.15413242417426,\n 42.58617572195294\n ],\n [\n -110.24707077090045,\n 42.71786640310043\n ],\n [\n -110.89757634299599,\n 41.77462246338027\n ],\n [\n -110.95331264260932,\n 40.79783839963443\n ],\n [\n -112.038576374738,\n 37.469561144392586\n ],\n [\n -115.98036476910397,\n 38.79317671202148\n ],\n [\n -115.44123475079675,\n 32.992451748753595\n ],\n [\n -114.82264190472011,\n 31.47874298522271\n ],\n [\n -112.27051510504592,\n 30.18537034627093\n ],\n [\n -108.23443902124117,\n 30.2194618603899\n ],\n [\n -106.42157190796223,\n 36.17948752808586\n ],\n [\n -105.84288087645007,\n 39.71384827828035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
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2150 Centre Ave., Bldg. C
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High spatial and temporal resolution models are essential for understanding future climate impacts and developing effective climate resilience plans. However, existing regional and global river models often lack the resolution needed to accurately capture local conditions. This study uses a series of high-resolution models, including the Regional Arctic System Model, mizuRoute, and the river basin model, to analyze Arctic and sub-Arctic Alaskan hydrology. We compare a historical baseline (1991–2020) with six midcentury (2035–64) futures: two pseudo–global warming scenarios based on historical meteorology and four direct dynamically downscaled global climate models. The six futures reveal significant uncertainty in future annual discharge and peak flows, although a widespread increase in discharge during April (+63%) and October (+31%) is consistently shown across models. Projected increases in rain and shifting weather patterns lead to a transition from snow to rain in spring and autumn, reducing the fraction of snowmelt contributing to river discharge. Rising evapotranspiration moderates discharge changes, particularly in autumn, by offsetting precipitation increases. Average summer river temperatures are projected to increase by approximately 1.5°C, doubling the number of river segments that experience 18°C days, a critical threshold for salmon survival, and intensifying the heat flux to the ocean adding an average of 3.3 × 1012 MJ yr−1. These changes in the hydrologic cycle could profoundly impact riverine and oceanic ecosystems, posing substantial challenges to communities reliant on these environments.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-24-0121.1","usgsCitation":"Blaskey, D., Cheng, Y., Newman, A.C., Koch, J.C., Goseff, M., and Musselman, K., 2025, Alaskan hydrology in transition: Changing precipitation and evapotranspiration patterns are projected to reshape seasonal streamflow and water temperature by midcentury (2035-2064): Journal of Hydrometeorology, v. 26, no. 5, p. 613-626, https://doi.org/10.1175/JHM-D-24-0121.1.","productDescription":"14 p.","startPage":"613","endPage":"626","ipdsId":"IP-170645","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, 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\"}}]}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blaskey, D","contributorId":302754,"corporation":false,"usgs":false,"family":"Blaskey","given":"D","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheng, Yifan","contributorId":332342,"corporation":false,"usgs":false,"family":"Cheng","given":"Yifan","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":940067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":940068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":940069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goseff, M","contributorId":356787,"corporation":false,"usgs":false,"family":"Goseff","given":"M","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Musselman, K","contributorId":302756,"corporation":false,"usgs":false,"family":"Musselman","given":"K","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268081,"text":"70268081 - 2025 - Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse","interactions":[],"lastModifiedDate":"2025-06-12T14:42:57.867296","indexId":"70268081","displayToPublicDate":"2025-05-01T09:35:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse","docAbstract":"Spodumene pegmatites are an important lithium source, but the processes and tectonic settings in which they form are poorly understood. The Rumford pegmatite district surrounding Plumbago Mountain, western Maine, is host to numerous spodumene pegmatites, including the Plumbago North pegmatite (a world-class spodumene resource). Competing petrogenetic models for these spodumene pegmatites include (1) highly fractionated melts of the Mooselookmeguntic igneous complex and (2) anatexis. We tested these hypotheses by constraining the geologic, magmatic, metamorphic, and tectonic history of the Plumbago Mountain area with detailed geologic mapping and U-(Th)-Pb geochronology. The Silurian Rangeley Formation records initial isoclinal folding prior to, and contact-related metamorphism synchronous with, the intrusion of the 417 ± 4 Ma Plumbago Mountain pluton. Peak amphibolite facies metamorphism and crustal melting occurred during the ca. 410 to 400 Ma Acadian orogeny. Pulsed emplacement of the Mooselookmeguntic igneous complex occurred between ca. 389 and 356 Ma. Cassiterite U-Pb dates of spodumene pegmatites (333–327 Ma) are ≥23 m.y. younger than nearby granitic plutons, strongly arguing against the fractional crystallization model. Metamorphic monazite and xenotime (346–328 Ma) and 330 to 308 Ma 40Ar/39Ar hornblende dates indicate metamorphism coeval with spodumene pegmatite emplacement, supporting anatectic models. Reheating, anatexis, and spodumene pegmatite emplacement occurred during collapse of the 380 to 330 Ma Acadian orogenic plateau. Lithium enrichment may be linked to one or more stages of partial melting of metasedimentary and plutonic rocks during the formation, tenure, and collapse of the Acadian altiplano and emphasizes the role of anatexis in producing spodumene pegmatites of economic significance.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5150","usgsCitation":"Felch, M., Hillenbrand, I.W., Eusden, J., Holm-Denoma, C., Bradley, D., Whittaker, A.T., Jercinovic, M.J., Williams, M.L., and Pianowski, L., 2025, Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse: Economic Geology, v. 120, no. 3, p. 779-806, https://doi.org/10.5382/econgeo.5150.","productDescription":"28 p.","startPage":"779","endPage":"806","ipdsId":"IP-164466","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.875,\n 44.6\n ],\n [\n -70.875,\n 44.5\n ],\n [\n -70.5833,\n 44.5\n ],\n [\n -70.5833,\n 44.6\n ],\n [\n -70.875,\n 44.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"120","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Felch, Myles M","contributorId":356816,"corporation":false,"usgs":false,"family":"Felch","given":"Myles M","affiliations":[{"id":85242,"text":"Maine Mineral & Gem Museum","active":true,"usgs":false}],"preferred":false,"id":940159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eusden, J. Dykstra","contributorId":356817,"corporation":false,"usgs":false,"family":"Eusden","given":"J. Dykstra","affiliations":[{"id":33413,"text":"Bates College","active":true,"usgs":false}],"preferred":false,"id":940161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":940162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Dwight C. 0000-0001-9116-5289","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":302424,"corporation":false,"usgs":false,"family":"Bradley","given":"Dwight C.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":940163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, Amber T.H.","contributorId":313574,"corporation":false,"usgs":false,"family":"Whittaker","given":"Amber","email":"","middleInitial":"T.H.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":940164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":940166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":940165,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pianowski, Laura 0000-0002-5346-8251","orcid":"https://orcid.org/0000-0002-5346-8251","contributorId":218817,"corporation":false,"usgs":true,"family":"Pianowski","given":"Laura","email":"","affiliations":[],"preferred":true,"id":940167,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70267421,"text":"70267421 - 2025 - The socio-ecological niche","interactions":[],"lastModifiedDate":"2025-05-23T16:39:59.043765","indexId":"70267421","displayToPublicDate":"2025-05-01T09:34:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"The socio-ecological niche","docAbstract":"1. Ecologists recognise that we live on an increasingly human-dominated planet, yet most of the field's foundational concepts remain essentially biophysical, with little reference to human society.
2. There are few better examples of this divide between ecological and social theory than the niche concept. During its century-long history, the niche concept has been defined in many ways, including to describe the ecological roles of humans. To date, however, it has not incorporated human influences into its various descriptions of other species' ecological roles.
3. In this essay, we present the socio-ecological niche (SEN) concept, which builds on the literature in niche theory by contributing insights from the social sciences and humanities to better understand the roles of non-human species in modern socio-ecological systems.
4. We argue that the SEN enriches the niche concept and offers a point of connection between ecology and justice.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.70032","collaboration":"University of Washington","usgsCitation":"Mcinturff, M.C., Alagona, P., Cannon, C., and Pellow, D., 2025, The socio-ecological niche: People and Nature, v. 7, no. 5, p. 1185-1197, https://doi.org/10.1002/pan3.70032.","productDescription":"13 p.","startPage":"1185","endPage":"1197","ipdsId":"IP-163548","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.70032","text":"Publisher Index Page"},{"id":486528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcinturff, Michael C 0000-0002-4858-1292","orcid":"https://orcid.org/0000-0002-4858-1292","contributorId":337290,"corporation":false,"usgs":true,"family":"Mcinturff","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alagona, Peter S.","contributorId":355790,"corporation":false,"usgs":false,"family":"Alagona","given":"Peter S.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":938161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Clare E.B.","contributorId":355791,"corporation":false,"usgs":false,"family":"Cannon","given":"Clare E.B.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":938162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellow, David N.","contributorId":355793,"corporation":false,"usgs":false,"family":"Pellow","given":"David N.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":938163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267293,"text":"70267293 - 2025 - 2022–2024 Status and trends of the Palila (Loxioides bailleui)","interactions":[],"lastModifiedDate":"2025-05-23T19:58:57.262267","indexId":"70267293","displayToPublicDate":"2025-05-01T09:30:04","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-115","displayTitle":"2022–2024 Status and trends of the Palila (Loxioides bailleui)","title":"2022–2024 Status and trends of the Palila (Loxioides bailleui)","docAbstract":"Palila (Loxioides bailleui) are critically endangered Hawaiian honeycreepers specializing on the seedpods of māmane (Sophora chrysophylla) and restricted to Mauna Kea volcano on the Island of Hawaiʻi. A previous analysis of survey data estimated an 89% population decline between 1998 and 2021. Using the most recent annual survey data from 2022, 2023, and 2024, we report updated annual population estimates and trends since 1998. The 2022 population estimate was 367–742 birds (point estimate: 545); the 2023 population estimate was 374–842 birds (point estimate: 596); and the 2024 population estimate was 412–970 birds (point estimate: 666). Our estimates for survey years prior to 2022 were within the confidence intervals of the estimates from the previous analysis. Our models likewise showed a population fluctuating between 4,000 and 6,800 birds from 1998 to 2005 (except for an unusually low estimate in 2000), and then a steep decline through 2010. For the next decade, palila abundance fluctuated between 776 and 1,346 birds, before declining again in 2021 to 679 birds. From 1998 to 2024, the population declined by >90% or 203 birds/year, with very strong statistical evidence of an overall downward trend.
","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Hunt, N., Asing, C.K., Nietmann, L., Banko, P.C., and Camp, R.J., 2025, 2022–2024 Status and trends of the Palila (Loxioides bailleui): Hawaii Cooperative Studies Unit Technical Report HCSU-115, iii, 19 p.","productDescription":"iii, 19 p.","ipdsId":"IP-176419","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":486210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":486153,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5398"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.6,\n 19.8333\n ],\n [\n -155.6,\n 19.7\n ],\n [\n -155.40506707246803,\n 19.7\n ],\n [\n -155.40506707246803,\n 19.8333\n ],\n [\n -155.6,\n 19.8333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":937642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asing, Chauncey K.","contributorId":272645,"corporation":false,"usgs":false,"family":"Asing","given":"Chauncey","email":"","middleInitial":"K.","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":937643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nietmann, Lindsey","contributorId":331548,"corporation":false,"usgs":false,"family":"Nietmann","given":"Lindsey","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":937644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":937645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":937646,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267453,"text":"70267453 - 2025 - Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska","interactions":[],"lastModifiedDate":"2025-05-23T16:32:54.511881","indexId":"70267453","displayToPublicDate":"2025-05-01T09:25:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska","docAbstract":"The Aleutian tern (Onychoprion aleuticus) is a species of high conservation concern in Alaska, USA, owing to large declines at known breeding locations since the 1960s. The small population size and ephemeral behavior of this species have limited the collection of basic biological information and hindered the identification of potential drivers of this decline. Significant unknowns include the factors, and their relative importance, influencing nest survival. To investigate these questions, we estimated daily nest survival (DNS) for 148 nests from 5 breeding colonies during 2017 to 2020 in the Kodiak Archipelago, Alaska with 105 monitored using remote cameras. We used the nest survival model in program MARK to estimate DNS rates as a function of colony location, year, within-season time trends, vegetation cover and height, and 6 daily weather covariates. Our top model suggested that DNS rates increased with vegetation height, decreased as the season progressed, and included a significant interaction between year and colony. Average nest success (i.e., percent chance that a nest survived to hatch) over the 22-day incubation period varied by colony but was generally very low, averaging 1.2% (95% CI = 0–11%) in 2017–2018 to 14% (95% CI = 0.1–38%) in 2019–2020 across all colonies. The importance of year in the model suggests that a large-scale annual driver, like food availability, may have played an important role in this species' breeding success. A severe marine heatwave was present in the Gulf of Alaska during 2014–2016 and our results suggest that some effects of this anomalous event, such as reduced prey availability, lingered even after temperatures returned to normal. Additionally, the variation in DNS across colony locations indicated that local factors, such as predation pressure, may also drive significant variation in Aleutian tern productivity. These findings suggest that a combination of local factors and climate change may be important drivers of the >90% decline in Alaska's breeding population of Aleutian terns.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22732","usgsCitation":"Tengeres, J., Dugger, K., Corcoran, R., and Lyons, D.E., 2025, Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska: Journal of Wildlife Management, v. 89, no. 4, e22732, 17 p., https://doi.org/10.1002/jwmg.22732.","productDescription":"e22732, 17 p.","ipdsId":"IP-166207","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.72408205000391,\n 57.9173741239446\n ],\n [\n -153.72408205000391,\n 57.32202812052077\n ],\n [\n -151.9053609383034,\n 57.32202812052077\n ],\n [\n -151.9053609383034,\n 57.9173741239446\n ],\n [\n -153.72408205000391,\n 57.9173741239446\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Tengeres, Jill E.","contributorId":355844,"corporation":false,"usgs":false,"family":"Tengeres","given":"Jill E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corcoran, Robin M.","contributorId":355845,"corporation":false,"usgs":false,"family":"Corcoran","given":"Robin M.","affiliations":[{"id":84844,"text":"U.S. Fish and Wildlife Service,","active":true,"usgs":false}],"preferred":false,"id":938261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, Donald E.","contributorId":204663,"corporation":false,"usgs":false,"family":"Lyons","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269940,"text":"70269940 - 2025 - Idiosyncratic spatial scaling of biodiversity–disease relationships","interactions":[],"lastModifiedDate":"2025-08-07T16:23:56.559115","indexId":"70269940","displayToPublicDate":"2025-05-01T09:17:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Idiosyncratic spatial scaling of biodiversity–disease relationships","docAbstract":"High host biodiversity is hypothesized to dilute the risk of vector-borne diseases if many host species are ‘dead ends' that cannot effectively transmit the disease and low-diversity areas tend to be dominated by competent host species. However, many studies on biodiversity–disease relationships characterize host biodiversity at single, local spatial scales, which complicates efforts to forecast disease risk if associations between host biodiversity and disease change with spatial scale. Here, our objective is to evaluate the spatial scaling of relationships between host biodiversity and Borrelia (the bacterial taxon which causes Lyme disease) infection prevalence in small mammals. We compared the associations between infection prevalence and small mammal host diversity for local communities (individual plots) and metacommunities (multiple plots aggregated within a landscape) sampled by the National Ecological Observatory Network (NEON), an emerging continental-scale environmental monitoring program with a hierarchical sampling design. We applied a multispecies, spatially-stratified capture–recapture model to a trapping dataset to estimate five small mammal biodiversity metrics, which we used to predict infection status for a subset of trapped individuals. We found that relationships between Borrelia infection prevalence and biodiversity did indeed vary when biodiversity was quantified at different spatial scales but that these scaling behaviors were idiosyncratic among the five biodiversity metrics. For example, species richness of local communities showed a negative (dilution) effect on infection prevalence, while species richness of the small mammal metacommunity showed a positive (amplification) effect on infection prevalence. Our modeling approach can inform future analyses as data from similar monitoring programs accumulate and become increasingly available through time. Our results indicate that a focus on single spatial scales when assessing the influence of biodiversity on disease risk provides an incomplete picture of the complexity of disease dynamics in ecosystems.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/ecog.07541","usgsCitation":"Gilbert, N.A., DiRenzo, G.V., and Zipkin, E., 2025, Idiosyncratic spatial scaling of biodiversity–disease relationships: Ecography, v. 2025, no. 5, e07541, 13 p., https://doi.org/10.1111/ecog.07541.","productDescription":"e07541, 13 p.","ipdsId":"IP-166571","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07541","text":"Publisher Index Page"},{"id":493725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.79469929309123,\n 49.09646929603289\n ],\n [\n -103.68585727501954,\n 40.73760320671225\n ],\n [\n -103.41172872889952,\n 31.989738528769458\n ],\n [\n -106.97439225502573,\n 31.559368481919833\n ],\n [\n -99.233036018366,\n 26.03830017900006\n ],\n [\n -79.60172129404337,\n 24.871286670280753\n ],\n [\n -68.62754461055297,\n 42.45895346896019\n ],\n [\n -71.39052201247834,\n 45.79255113886533\n ],\n [\n -79.93472542396827,\n 44.33548909164021\n ],\n [\n -84.1564540560646,\n 48.14762016540982\n ],\n [\n -103.79469929309123,\n 49.09646929603289\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gilbert, Neil A.","contributorId":359068,"corporation":false,"usgs":false,"family":"Gilbert","given":"Neil","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":945185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise 0000-0003-4155-6139 ezipkin@usgs.gov","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":242667,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":945186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266190,"text":"70266190 - 2025 - Cgsim: An R package for simulation of population genetics for conservation and management applications","interactions":[],"lastModifiedDate":"2025-04-30T15:52:26.168341","indexId":"70266190","displayToPublicDate":"2025-05-01T08:49:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Cgsim: An R package for simulation of population genetics for conservation and management applications","docAbstract":"Wildlife conservation and management increasingly considers genetic information to plan, understand and evaluate implemented population interventions. These actions commonly include conservation translocation and population reductions through removals. Change in genetic variation in response to management actions can be unintuitive due to the influence of multiple interacting drivers (e.g. genetic drift, life history traits, environmental stochasticity). Simulation is an excellent tool to understand the predicted consequences of different proposed or implemented actions. However, the genetic simulators that are robust to a wide variety of life history traits also have a steep learning curve to appropriately parameterize common management actions. To fill this gap, we have developed cgsim, an R package for simulating the genetic consequences of common management interventions for populations of wildlife species. We developed a set of functions to specifically understand the effects of four main aspects of managing small, declining or isolated populations: loss of genetic diversity to drift, augmenting existing populations (e.g. translocation), population reduction through targeted removals and population catastrophes driven by stochastic extrinsic forces. Our single population simulation model is individual-based, and flexible to a range of life history traits. Here we validate cgsim through comparison of simulations to theoretical expectations of genetic diversity loss and illustrate its applied utility by focusing on a recently published empirical example for the Greater Sage-Grouse. Cgsim is available as an R package at: https://doi.org/10.5066/P1BXBEXJ.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.14081","usgsCitation":"Zimmerman, S.J., and Oyler-McCance, S.J., 2025, Cgsim: An R package for simulation of population genetics for conservation and management applications: Molecular Ecology Resources, v. 25, no. 4, e14081, 9 p., https://doi.org/10.1111/1755-0998.14081.","productDescription":"e14081, 9 p.","ipdsId":"IP-170642","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.14081","text":"Publisher Index Page"},{"id":485210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934859,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}