Coastal erosion, intensified by sea level rise, poses significant threats to coastal communities in Hawaiʻi and similar island communities. This study projects long-term shoreline change on the Hawaiian Island of O‘ahu using the data-assimilated CoSMoS-COAST shoreline change model. CoSMoS-COAST models four key shoreline processes: (1) Alongshore transport, (2) Recession due to sea level rise, (3) Cross-shore transport due to waves, and (4) Residual processes represented by a linear trend term. This study marks the first application of CoSMoS-COAST for an oceanic equatorial island with narrow beaches and a dynamic wave climate. The model is informed with a novel combination of shoreline data derived from high-resolution imagery from Planet, Sentinel-2, and Landsat satellites, wave-climate hindcasts specific to Hawai‘i, and regional beach-slope surveys. On a dynamic northern Oʻahu beach, the model achieved a root mean square error of 9.4 m between observations and model output. CoSMoS-COAST predicts that 81% of O‘ahu’s sandy beach coastline could experience beach loss by 2100; with 39.8% of this loss happening by 2030. This represents an increase, 43.3%, in net landward shoreline change compared to previous erosion forecasts, for 0.3 m of sea level rise (2050). Additionally, dynamic processes such as cross-shore equilibrium processes and alongshore sediment transport, play a large contribution to gross shoreline change within the next decade, particularly on O ‘ahu’s north and west shores. In the long term, we find that recession due to sea level rise and residual processes dominate, but dynamic, wave-driven processes (longshore and cross-shore transport) still account for 34% of shoreline change between present and 2100. We assert dynamic, wave-driven processes are a crucial addition for accurate modeling of island sandy beach environments. These findings have implications for O‘ahu’s coastal planning and development, suggesting updates to shoreline policies that rely upon erosion forecasting, and highlights the importance of incorporating wave and alongshore transport in erosion models for other Pacific islands.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-95074-y","usgsCitation":"Moskvichev, R., Mikkelsen, A., Anderson, T., Vitousek, S., Joel Nicolow, and Fletcher, C., 2025, Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments: Scientific Reports, v. 15, 10794, 23 p., https://doi.org/10.1038/s41598-025-95074-y.","productDescription":"10794, 23 p.","ipdsId":"IP-176072","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-95074-y","text":"Publisher Index Page"},{"id":491019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.97415529522343,\n 21.740805505081653\n ],\n [\n -158.15139260242358,\n 21.600579083024826\n ],\n [\n -158.2903083296884,\n 21.599465629948895\n ],\n [\n -158.24240635476954,\n 21.479162346928234\n ],\n [\n -158.11187347311537,\n 21.27955194162557\n ],\n [\n -157.87475869726666,\n 21.277320121849456\n ],\n [\n -157.78853514241246,\n 21.229327812614713\n ],\n [\n -157.6687802051152,\n 21.253883970723265\n ],\n [\n -157.62447087831504,\n 21.30744683110042\n ],\n [\n -157.70231158755843,\n 21.41228417679669\n ],\n [\n -157.71069443316924,\n 21.478047962139442\n ],\n [\n -157.79811553739634,\n 21.456873031193922\n ],\n [\n -157.82446162360165,\n 21.49476283830066\n ],\n [\n -157.8172763273639,\n 21.53152880555119\n ],\n [\n -157.97415529522343,\n 21.740805505081653\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Moskvichev, Richelle","contributorId":357155,"corporation":false,"usgs":false,"family":"Moskvichev","given":"Richelle","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mikkelsen, Anna","contributorId":357158,"corporation":false,"usgs":false,"family":"Mikkelsen","given":"Anna","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Tiffany","contributorId":357161,"corporation":false,"usgs":false,"family":"Anderson","given":"Tiffany","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joel Nicolow","contributorId":357164,"corporation":false,"usgs":false,"family":"Joel Nicolow","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fletcher, Charles","contributorId":357167,"corporation":false,"usgs":false,"family":"Fletcher","given":"Charles","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":940773,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","interactions":[{"subject":{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","indexId":"70265535","publicationYear":"2025","noYear":false,"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model"},"predicate":"SUPERSEDED_BY","object":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"id":1}],"supersededBy":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"lastModifiedDate":"2025-11-24T17:09:06.905617","indexId":"70265535","displayToPublicDate":"2025-03-28T08:41:30","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":20900,"text":"EGUSphere","active":true,"publicationSubtype":{"id":32}},"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","docAbstract":"Despite their ubiquity and importance as freshwater habitat, small headwater streams are under monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position. A person then annotates pairs of images, in each case indicating which image has more apparent streamflow or indicating equal flow if no difference is discernible. A deep learning modelling framework called Streamflow Rank Estimation (SRE) is then trained on the annotated image pairs and applied to rank all images from highest to lowest apparent streamflow. From this result a relative hydrograph can be derived. We found that our modelled relative hydrograph dynamics matched the observed hydrograph dynamics well for 11 cameras at 8 streamflow sites in western Massachusetts. Higher performance was observed during the annotation period (median Kendall’s Tau rank correlation 0.75 with range 0.6–0.83) than after it (median Kendall’s Tau 0.59 with range 0.34 – 0.74). We found that annotation performance was generally consistent across the eleven camera sites and two individual annotators and was positively correlated with streamflow variability at a site. A scaling simulation determined that model performance improvements were limited after 1,000 annotation pairs. Our model’s estimates of relative flow, while not equivalent to absolute flow, may still be useful for many applications, such as ecological modelling and calculating event-based hydrological statistics (e.g., the number of out-of-bank floods). We anticipate this method will be a valuable tool to extend existing stream monitoring networks and provide new insights on dynamic headwater systems.
","language":"English","publisher":"EGUSphere","doi":"10.5194/egusphere-2025-1186","usgsCitation":"Goodling, P.J., Fair, J.H., Gupta, A., Walker, J.D., Dubreuil, T., Hayden, M.J., and Letcher, B., 2025, A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model: EGUSphere, preprint posted March 28, 2025, https://doi.org/10.5194/egusphere-2025-1186.","productDescription":"26 p.","ipdsId":"IP-171724","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488204,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/egusphere-2025-1186","text":"Publisher Index Page"},{"id":484489,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":932972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jeffrey D. 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":244114,"corporation":false,"usgs":false,"family":"Walker","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":48839,"text":"Walker Environmental Research LLC","active":true,"usgs":false}],"preferred":false,"id":932973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265533,"text":"70265533 - 2025 - Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2025-04-15T13:17:57.197981","indexId":"70265533","displayToPublicDate":"2025-03-28T08:12:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA","docAbstract":"Little is known about the local plumbing systems that fuel Yellowstone’s famous hot springs, geysers and mud pots. A multi-method, multi-scale geophysical investigation was carried out in the Obsidian Pool Thermal Area (OPTA) to: (i) delineate the lateral extent of the hydrothermal area and associated surface features; (ii) estimate the dimensions of the upflow zone and identify its main controlling structures; (iii) assess fluids circulation pathways from depth to surface. Ground and airborne geophysical data were acquired to connect local and regional scales, from shallow to large depths. Maps of surface electrical resistivity show a strong correlation with hydrothermal features. At in-termediate depths, electrical resistivity permits delineating the upper limit of the upflow zone, while Poisson’s ratio highlights differences in subsurface fluid content. Combining these results with surface observations and topographic information, we speculate that differential mixing of hydrothermal and fresh water could explain the wide diversity of features observed at OPTA. Low electrical resistivity observed at large depths also suggest that a vast upflow zone, controlled by rhyolite flows and conjugate faults, underlies the OPTA. We speculate that hydrothermal fluids rise along fractures and reach the surface in topographic lows to form hydrothermal features. Our results show that synoptic, multi-scale geophysical measurements provide a roadmap for understanding where and how geologic heterogeneity, topography, fluid-gas separation, and the mixing of thermal and meteoric waters conspire to produce the wide variety of Yellowstone’s renowned hydrothermal features.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029839","usgsCitation":"Pasquet, S., Holbrook, W.S., Carr, B., Terry, N., Briggs, M.A., Finn, C., Bedrosian, P.A., Auken, E., Pedersen, J., Maurya, P.K., and Sims, K., 2025, Multi-scale geophysical imaging of a hydrothermal system in Yellowstone National Park, USA: JGR Solid Earth, v. 130, no. 4, e2024JB029839, 20 p., https://doi.org/10.1029/2024JB029839.","productDescription":"e2024JB029839, 20 p.","ipdsId":"IP-161584","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488238,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb029839","text":"Publisher Index Page"},{"id":484500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.42248124611399,\n 43.840789120104006\n ],\n [\n -109.42248124611399,\n 44.99074567225114\n ],\n [\n -111.04762312859151,\n 44.99074567225114\n ],\n [\n -111.04762312859151,\n 43.840789120104006\n ],\n [\n -109.42248124611399,\n 43.840789120104006\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasquet, Sylvain","contributorId":175484,"corporation":false,"usgs":false,"family":"Pasquet","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":932959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, W. 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MeHg production is mediated by metabolically diverse microorganisms carrying the hgcAB gene pair, while the demethylation reaction is mediated by several biotic and abiotic processes. However, the relative importance of these two processes on MeHg accumulation and the environmental factors that influence them are poorly characterized, especially in eutrophic environments. In this study, both Hg methylation and MeHg demethylation in a eutrophic freshwater lake were linked to ambient MeHg concentrations and hgcA abundance and expression. High methylation rate potentials indicated in situ MeHg formation was a key source of MeHg to the water column, driven by high hgcA abundance and transcription. Molybdate treatment decreased methylation rate potentials, highlighting the importance of sulfate reduction in driving MeHg formation. Sulfate-reducing bacteria accounted for over 50% of the hgcA gene transcription, despite representing less than 10% of the hgcA-carrying microbial community. An arsR-like transcriptional regulator preceded many hgcA sequences; these were transcriptionally active and linked to lower hgcA expression. Overall, this study elucidates the microbial and biogeochemical processes that influence the in situ formation of MeHg in understudied eutrophic freshwater environments.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12759","collaboration":"University of Wisconsin, University of California-Davis","usgsCitation":"Peterson, B.D., Janssen, S., Poulin, B., Ogorek, J.M., White, A., McDaniel, E., Marick, R., Armstrong, G.J., Scheel, N., Tate, M., Krabbenhoft, D.P., and McMahon, K.D., 2025, Sulfate reduction drives elevated methylmercury formation in water column of eutrophic freshwater lake: Environmental Science and Technology, v. 59, no. 13, p. 6799-6811, https://doi.org/10.1021/acs.est.4c12759.","productDescription":"13 p.","startPage":"6799","endPage":"6811","ipdsId":"IP-173108","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488458,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c12759","text":"Publisher Index 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polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","interactions":[],"lastModifiedDate":"2025-05-29T13:10:29.985307","indexId":"70266766","displayToPublicDate":"2025-03-28T07:46:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams","docAbstract":"Microplastics, per- and polyfluoroalkyl substances (PFAS), antibiotic resistance genes (ARGs), pharmaceuticals and personal care products (PPCPs), and pesticides may lead to unintended environmental contamination through many pathways in multiple matrices. This statewide, multi-matrix study of contaminants of global concern (CGCs) in agricultural streams across Iowa (United States) is the first to examine multiple CGCs in water, bed sediment, and fish to understand their occurrence in small streams located in regions of intense agriculture activity. Iowa plays a pivotal role in agriculture, with more than 85% of Iowa’s landscape devoted to agriculture making it an ideal location for determining the prevalence of CGCs to provide critical baseline exposure data. Fifteen sites were sampled across a range of predominant land uses (e.g., poultry, swine); all sites had detections of microplastics in all matrices. Concentrations of PFAS varied but were detected in water and sediment; all fish had detections of perfluorooctanesulfonate (PFOS), a type of PFAS. More than 50% of water and bed sediment samples had detections of ARGs. The most frequently detected PPCP was metformin. No sites had a cumulative exposure activity ratio greater than 1.0 for chemical exposures; 13 sites were above the 0.001 precautionary threshold. Toxicity quotients calculated using Aquatic Life Benchmarks were below the 0.1 moderate risk threshold for chemical exposures for all but one site. For fish, all sites exceeded the moderate and high-risk thresholds proposed for microplastic particles for food dilution (both chronic and acute exposures) and all sites exceeded the microplastic moderate threshold proposed for chronic tissue translocation, and two sites exceeded the threshold for acute tissue translocation.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D4EM00753K","usgsCitation":"Meppelink, S.M., Kolpin, D., LeFevre, G., Cwiertny, D., Givens, C.E., Green, L., Hubbard, L.E., Iwanowicz, L.R., Lane, R.F., Mianecki, A., O’Shea, P.S., Raines, C.D., Scott, J., Thompson, D., Wilson, M.C., and Gray, J.L., 2025, Assessing microplastics, per- and polyfluoroalkyl substances (PFAS), and other contaminants of global concern in wadable agricultural streams: Environmental Science: Processes & Impacts, v. 27, p. 1401-1422, https://doi.org/10.1039/D4EM00753K.","productDescription":"22 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Members of TKT have rights to hunt, fish, trap, and gather, including the harvest of mule deer (Odocoileus hemionus) and elk (Cervus canadensis nelsoni) within the 1.19 million acres of their Reserved Treaty Rights Area.
Anthropogenic changes threaten the well-being of mule deer and elk and of the Tribes that rely on them. Today, these species are a primary protein source for TKT. They are traded within TKT and among other Tribes and provide materials for cultural and sacred items such as regalia. However, mule deer numbers have been declining across the western states for the past several decades because of multiple stressors, including persistent and frequent drought and wildfires, habitat loss and degradation, vehicle mortality, and increasing barriers to migratory movements between summer and winter ranges. The migratory movements of mule deer, which allow deer to access the best available seasonal habitats, put them at risk of another potential stressor—infection with chronic wasting disease (CWD). Chronic wasting disease is a fatal prion disease of deer that has been detected in 36 U.S. states. It was detected in free-ranging mule deer in northern Idaho in 2021, prompting the Tribes to initiate a planning process for CWD surveillance, prevention, and response measures to preserve and protect the deer and elk within the Reserved Treaty Rights Area.
In 2023, the Klamath Tribes Natural Resources Department began to develop their CWD plan by incorporating preliminary input provided by the Klamath Indian Game Commission (KIGC) and working with scientists from the U.S. Geological Survey (USGS). This collaborative effort includes the application of structured decision making and the development of mathematical models to analyze potential CWD management strategies. The result will be a transparent assessment that incorporates TKT values throughout the process and can inform place-based management of the cultural, natural, and physical resources upon which the Tribes depend. In addition, this process may provide opportunities for broader coordination by natural resource management agencies to work together to ensure the long-term health and sustainability of deer and elk populations within the Reserved Treaty Rights Area and throughout the state of Oregon.
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U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
Total phosphorus (TP) concentrations and loads in the Boise River near Parma, Idaho, were examined to identify changes by month over a 19-year period from water year 2003 through water year 2021 and to evaluate the performance of three common water-quality models. Mean annual TP concentrations and loads were estimated to have reduced by approximately 60 percent over the study period. Mean annual TP concentrations were reduced from 0.42 milligrams per liter in 2003 to 0.18 milligrams per liter in 2021. Mean annual TP loads were reduced from 816 kilograms per day in 2003 to 302 kilograms per day in 2021. Mean annual concentrations and loads reduced by approximately 3 percent per year with the largest changes occurring in the non-irrigation season of October through April. The TP load remained highest in May across the model period while peak concentration shifted from January to March.
High-frequency TP data collected with an automated sampler every 49 hours enabled detailed model performance evaluation of the Load Estimator (LOADEST), Weighted Regressions on Time, Discharge, and Season (WRTDS), and WRTDS method with Kalman filtering (WRTDS_K) water-quality models generated with near-monthly data. All three models were generally able to reproduce the observed concentrations, with the largest errors occurring in the spring when observed concentrations were most variable. Annual TP loads varied by up to 27 percent, or approximately 128,000 kilograms, between the three models calibrated on monthly data. In this system with highly variable concentrations, we note that performance metrics for WRTDS_K based on monthly calibration data masked serious errors that were only revealed by comparing results against higher frequency (49-hour) autosampler data. This emphasizes the value of high frequency validation data to quantify uncertainty in water-quality models when applied to systems where concentrations change rapidly. Lastly, we identify that hydraulic routing may be a valuable addition to discharge, season, and time in water-quality modeling for systems with significant human intervention in natural hydro-biogeochemical processes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245110","collaboration":"Prepared in cooperation with the City of Boise","programNote":"National Water Quality Program","usgsCitation":"King, T.V., and Yoder, A.M., 2025, A trend analysis and model comparison of total phosphorus concentrations and loads in the Boise River near Parma, southwestern Idaho, water years 2003–21: U.S. Geological Survey Scientific Investigations Report 2024–5110, 41 p., https://doi.org/10.3133/sir20245110.","productDescription":"Report: vi, 41p.; Data Release","onlineOnly":"Y","ipdsId":"IP-140444","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":493739,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118504.htm","linkFileType":{"id":5,"text":"html"}},{"id":483669,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.XML"},{"id":483668,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5110/images"},{"id":483667,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98DMTAN","text":"USGS data release","description":"USGS data release","linkHelpText":"Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021"},{"id":483666,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245110/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5110"},{"id":483665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5110/sir20245110.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5110"},{"id":483664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5110/coverthb.jpg"}],"country":"United States","state":"Idaho","city":"Parma","otherGeospatial":"Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.25,\n 44\n ],\n [\n -117.25,\n 43\n ],\n [\n -115.75,\n 43\n ],\n [\n -115.75,\n 44\n ],\n [\n -117.25,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
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This report documents the system characterization of the Indian Space Research Organisation Resourcesat-2A Linear Imaging Self Scanning-4 (LISS–4) sensor. It is part of a series of system characterization reports produced by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports describe the methodology and procedures used for characterization, present technical and operational information about the specific sensing system being evaluated, and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Resourcesat-2A was launched in 2016 on the Polar Satellite Launch Vehicle-C36; it is identical to Resourcesat-2, and together, they decrease imaging revisit time from 5 days to 2–3 days, providing data continuity and improved temporal resolution. Resouresat-2 and 2A carry the Advanced Wide Field Sensor, Linear Imaging Self Scanning-3, and LISS–4 medium-resolution imaging sensors, continuing the legacy of the Indian Space Research Organisation’s Indian Remote Sensing-1C/1D/P3 satellite programs. More information about the Indian Space Research Organisation’s satellites and sensors is available through the Joint Agency Commercial Imagery Evaluation Earth Observing Satellites Online Compendium at https://calval.cr.usgs.gov/apps/compendium/ and from the manufacturer at https://www.isro.gov.in/.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team assessed the geometric, radiometric, and spatial performances of the Resourcesat-2A LISS–4 sensor. Geometric performance is divided into the interior geometric performance of band-to-band registration and the exterior geometric performance of geolocation accuracy. The interior geometric performance had mean offsets in the range of −0.118 to 0.024 pixel in easting and −0.053 to 0.022 pixel in northing with root mean square error values from 0.067 to 0.230 pixel in easting and from 0.087 to 0.2 pixel in northing. The exterior geometric performance had offsets in the range of 2.55 to 7.85 meters (m) in easting and −6.15 to 11.15 m in northing with root mean square error values in the range of 2.6 to 8.2 m in easting and 6.35 to 11.8 m in northing compared to the U.S. Department of Agriculture National Agriculture Imagery Program and WorldView-3 orthoimages. The measured radiometric performance had offsets from 0.003 to 0.024 and slopes from 0.736 to 0.952, and spatial performance was in the range of 1.633 to 1.903 pixels for the full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.0529 to 0.0952.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030U","usgsCitation":"Shrestha, M., Sampath, A., Kim, M., Park, S., and Clauson, J., 2025, System characterization report on Resourcesat-2A Linear Imaging Self Scanning-4 sensor, chap. U of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 16 p., https://doi.org/10.3133/ofr20211030U.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170098","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":483933,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/u/coverthb.jpg"},{"id":483934,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/u/ofr20211030u.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030-U"},{"id":483935,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/u/ofr20211030u.XML"},{"id":483936,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/u/images/"},{"id":483938,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030U/full"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Migratory herbivores often time spring migration to coincide with the green-up of plants. When the timing of green-up changes across years, herbivores can respond directly and be plastic to changing conditions or populations may adapt via inherent differences among individuals that may allow for an evolutionary response. We quantified plasticity and individual variation in the timing of spring migration and selection for high-quality forage as a function of the timing of spring green-up using behavioural reaction norms for three North American ungulate species. The timing of arrival to summer range (but not departure from winter range) was plastic to the timing of green-up, and both arrival and departure timing were repeatable. Our results suggest that herbivores synchronise migration with the timing of green-up by adjusting the pace of migration and may be buffered against change via individual differences. Quantifying plasticity and differences in responses represents a crucial step to elucidating the fate of species in a changing world.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.70101","usgsCitation":"Laforge, M., Vander Wal, E., Webber, Q., Geremia, C., Kauffman, M., McWhirter, D.E., Middleton, A., Mong, T., Monteith, K., Ortega, A.C., Sawyer, H., and Merkle, J., 2025, Consistent individual differences and plasticity in migration behaviour of three North American ungulates, v. 28, no. 3, e70101, 10 p., https://doi.org/10.1111/ele.70101.","productDescription":"e70101, 10 p.","ipdsId":"IP-167783","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490641,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ele.70101","text":"External Repository"},{"id":489263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.19568552814388,\n 45.420902074781026\n ],\n [\n -111.19568552814388,\n 40.922054575961994\n ],\n [\n -107.3832411048657,\n 40.922054575961994\n ],\n [\n -107.3832411048657,\n 45.420902074781026\n ],\n [\n -111.19568552814388,\n 45.420902074781026\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laforge, Michel P.","contributorId":356108,"corporation":false,"usgs":false,"family":"Laforge","given":"Michel P.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":938757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vander Wal, Eric","contributorId":355688,"corporation":false,"usgs":false,"family":"Vander Wal","given":"Eric","affiliations":[{"id":84800,"text":"Memorial University of Newfoundland and Labrador, St. John’s NL, Canada","active":true,"usgs":false}],"preferred":false,"id":938758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webber, Quinn M.R.","contributorId":356109,"corporation":false,"usgs":false,"family":"Webber","given":"Quinn M.R.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":938759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":938760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McWhirter, Douglas E.","contributorId":264424,"corporation":false,"usgs":false,"family":"McWhirter","given":"Douglas","email":"","middleInitial":"E.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":938762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middleton, Arthur","contributorId":288504,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":938763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mong, Tony W.","contributorId":287998,"corporation":false,"usgs":false,"family":"Mong","given":"Tony W.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":938764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Monteith, Kevin L.","contributorId":287801,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":938765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ortega, Anna C.","contributorId":280169,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":938766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sawyer, Hall","contributorId":287880,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":61660,"text":"Western Ecosystems Technology, Inc., Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":938767,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Merkle, Jerod A.","contributorId":287300,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":938768,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70265064,"text":"70265064 - 2025 - Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","interactions":[],"lastModifiedDate":"2025-04-01T15:10:02.53114","indexId":"70265064","displayToPublicDate":"2025-03-27T10:04:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound","docAbstract":"Reduction in point sources of nitrogen has led to improvement in water quality of the Long Island Sound (LIS) since 2000, but changes in nonpoint sources are less clear. A significant yet poorly quantified nonpoint nitrogen source is the forested landscape. Because a large proportion of the LIS basin is forested, even small areal inputs from the forested landscape have a large cumulative effect on nitrogen loading to LIS. Atmospheric nitrogen deposition, the primary source of nitrogen to forested landscapes in LIS basin, has been declining for several decades. However, nitrogen export in streams does not necessarily mirror nitrogen deposition. To assess forest nitrogen export to LIS, we estimated annual average concentrations and fluxes of nitrate in 17 forested watersheds in and near the LIS basin. Average flow-normalized nitrate-nitrogen concentrations ranged from less than 0.05–0.43 mg per liter among all sites; annual flow-normalized yields ranged from 0.45 to 4.3 kg per hectare. Flow-normalized annual average concentrations and yields of nitrate between water years 1991–2021 did not monotonically increase or decrease at most watersheds. Where determined, the other major N species generally had comparable magnitude and trends. Based on the watersheds analyzed in this study, forested areas are not responding uniformly to the continued decline of atmospheric nitrogen deposition. The variability among sites may indicate that local-scale factors exert substantial influence over the magnitude and trends in nitrogen exports. One watershed that had increasing development showed an increasing trend in nitrate, but not in dissolved organic nitrogen.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008489","usgsCitation":"Spaetzel, A.B., Shanley, J.B., DeSimone, L.A., and Mullaney, J., 2025, Nitrate loads and concentrations from forested watersheds and implications for Long Island Sound: JGR Biogeosciences, v. 130, no. 4, e2024JG008489, 18 p., https://doi.org/10.1029/2024JG008489.","productDescription":"e2024JG008489, 18 p.","ipdsId":"IP-154905","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":488666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008489","text":"Publisher Index Page"},{"id":484067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.28768451934559,\n 45.13511639993237\n ],\n [\n -75.10160526272159,\n 44.91381753996643\n ],\n [\n -74.79160802274902,\n 41.44157777621251\n ],\n [\n -73.57410086622542,\n 40.77932738343219\n ],\n [\n -71.39984137658877,\n 41.12239972907295\n ],\n [\n -71.28768451934559,\n 45.13511639993237\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265062,"text":"70265062 - 2025 - Reconstructing relative abundance indices for Atlantic sturgeon using hierarchical ecological models","interactions":[],"lastModifiedDate":"2025-05-12T15:42:38.797222","indexId":"70265062","displayToPublicDate":"2025-03-27T09:34:10","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":"Reconstructing relative abundance indices for Atlantic sturgeon using hierarchical ecological models","docAbstract":"The Atlantic Sturgeon Acipenser oxyrinchus is a wide-ranging, long-lived diadromous fish that is endangered in most of its range. Our objective was to develop and apply long-term, detection-corrected indices of relative abundance for juvenile and adult Atlantic Sturgeon in the Hudson River, New York, United States, to support population monitoring and stock assessment.
We used long-term gill-net catches to estimate relative abundances of juvenile and adult Atlantic Sturgeon while accounting for imperfect detection within an N-mixture modeling framework. We validated the model framework using a simulation–estimation framework based on mean parameter estimates from the adult Atlantic Sturgeon relative abundance index.
Simulation testing indicated that absolute abundance estimates may be biased low due to poor characterization of detection probabilities. However, model estimates of relative abundance tracked simulated abundance trends well. Juvenile relative abundance estimates followed similar trends as raw gill-net catches but were less variable among years when corrected for detection probability. Relative abundance of juveniles increased from 2004 to 2015 prior to declining through 2022, with little evidence for change between the start and end of the survey. Detection-corrected indices for adult sturgeon indicated a consistent increase in relative abundance that was not readily apparent in raw catch indices.
Detection-corrected catch indices can provide improved characterization of Atlantic Sturgeon relative abundance dynamics over raw gill-net catches through use of N-mixture models. The approach has broad applicability to data types that are commonly collected for understanding population trends in stock assessment. Estimation of absolute abundance and other population demographics germane to management would benefit from alternative or auxiliary data collected through approaches such as side-scan sonar or acoustic telemetry, which are increasingly common for monitoring sturgeon populations.
Evaluating progress toward achieving freshwater conservation and sustainability goals requires transforming diverse types of data into useful information for scientists, managers, and other interest groups. Despite substantial increases in the volume of freshwater data collected worldwide, many regions and ecosystems still lack sufficient data collection and/or data access. We illustrate how these data challenges result from a diverse set of underlying mechanisms and propose solutions that can be applied by individuals or organizations. We discuss creative approaches to address data scarcity, including the use of community science, remote-sensing, environmental sensors, and legacy datasets. We highlight the importance of coordinated data collection efforts among groups and training programs to improve data access. At the institutional level, we emphasize the power of prioritizing data curation, incentivizing data publication, and promoting research that enhances data coverage and representativeness. Some of these strategies involve technological and analytical approaches, but many necessitate shifting the priorities and incentives of organizations such as academic and government research institutions, monitoring groups, journals, and funding agencies. Our overarching goal is to stimulate discussion to narrow the data disparities hindering the understanding of freshwater processes and their change across spatial scales.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70205","collaboration":"none","usgsCitation":"Smits, A., Hall, E., Deemer, B., Scordo, F., Barbosa, C.C., Carlson, S.M., Cawley, K.M., Grossart, H., Kelly, P.T., Mammola, S., Pintar, M., Robbins, C., Vidal, A., and Sacco, M., 2025, Too much and not enough data: Challenges and solutions for generating information in freshwater research and monitoring: Ecosphere, v. 16, no. 3, e70205, 19 p., https://doi.org/10.1002/ecs2.70205.","productDescription":"e70205, 19 p.","ipdsId":"IP-162033","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70205","text":"Publisher Index Page"},{"id":484131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, United States","otherGeospatial":"Nahuel Huapi Lake, Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.47520389752921,\n 39.3888302058302\n ],\n [\n -120.47520389752921,\n 38.773664326154886\n ],\n [\n -119.56046785633012,\n 38.773664326154886\n ],\n [\n -119.56046785633012,\n 39.3888302058302\n ],\n [\n -120.47520389752921,\n 39.3888302058302\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.91761662863647,\n -40.646837584942396\n ],\n [\n -71.91761662863647,\n -41.21142317383106\n ],\n [\n -71.05714462820775,\n -41.21142317383106\n ],\n [\n -71.05714462820775,\n -40.646837584942396\n ],\n [\n -71.91761662863647,\n -40.646837584942396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Smits, Adrianne P.","contributorId":352945,"corporation":false,"usgs":false,"family":"Smits","given":"Adrianne P.","affiliations":[{"id":84313,"text":"Environmental Science and Policy, University of California, Davis, CA, USA 95616","active":true,"usgs":false}],"preferred":false,"id":932554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Ed K","contributorId":156351,"corporation":false,"usgs":false,"family":"Hall","given":"Ed K","affiliations":[{"id":20320,"text":"University of Minnesota, Department of Ecology, Evolution and Behavior","active":true,"usgs":false}],"preferred":false,"id":932555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":932556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scordo, Facundo","contributorId":298282,"corporation":false,"usgs":false,"family":"Scordo","given":"Facundo","email":"","affiliations":[{"id":64520,"text":"Instituto Argentino de Oceanografía","active":true,"usgs":false}],"preferred":false,"id":932557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barbosa, Carolina C. 0000-0002-6393-5730","orcid":"https://orcid.org/0000-0002-6393-5730","contributorId":268214,"corporation":false,"usgs":false,"family":"Barbosa","given":"Carolina","email":"","middleInitial":"C.","affiliations":[{"id":55596,"text":"São Carlos School of Engineering, Hydraulics and Sanitation Department","active":true,"usgs":false}],"preferred":false,"id":932558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlson, Stephanie M.","contributorId":250652,"corporation":false,"usgs":false,"family":"Carlson","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":6643,"text":"University of California - 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2025 - Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","interactions":[],"lastModifiedDate":"2025-04-23T14:14:53.930815","indexId":"70265977","displayToPublicDate":"2025-03-27T09:08:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow","docAbstract":"The decline of pelagophil minnows is related to river fragmentation across the southern Great Plains landscape. Because we know little about pelagophil movement patterns and timing, we aimed to quantify the movements of the vulnerable Arkansas River shiner (ARS) during the winter (November–March) and prespawning (April–June) seasons. We tagged 4233 ARS using visible implant elastomer, passive integrated transponder, or p-Chip micro-transponder tags in 2018–2020. We sampled to recapture tagged fish weekly during the winter and biweekly during the spring. Tagged fish exhibited a downstream movement bias and movement was weakly related to increasing temperature, discharge, and photoperiod during winter, however most of the variability was explained by a random individual effect. Larger individuals moved greater distances than smaller fish. Upstream movements by a migratory portion of the population appeared to begin around late February based on the presence of fish at previously unoccupied sites. However, the first long-distance (30-km) upstream movement by a tagged fish was documented in late May. We show evidence that some ARS may be resident fish at sites throughout winter and spring of multiple years. To conserve freshwater pelagophil minnows, our results indicate water management strategies improving river connectivity in late winter through the spawning season may benefit spawning by migratory individuals, whereas lateral connectivity might benefit the resident portion of the population. Research efforts under experimental flows could provide insight to improved recovery options.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-89500-4","usgsCitation":"Moore, D.M., and Brewer, S., 2025, Overwinter and prespawning movements by a vulnerable freshwater pelagophilic minnow: Scientific Reports, v. 15, 10576, 15 p., https://doi.org/10.1038/s41598-025-89500-4.","productDescription":"10576, 15 p.","ipdsId":"IP-163233","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-89500-4","text":"Publisher Index Page"},{"id":484912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.95,\n 36.145\n ],\n [\n -99.95,\n 35\n ],\n [\n -96.79,\n 35\n ],\n [\n -96.79,\n 36.145\n ],\n [\n -99.95,\n 36.145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Desiree M.","contributorId":287527,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":934224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70265077,"text":"70265077 - 2025 - Limited directional change in mountaintop plant communities over 19 years in western North America","interactions":[],"lastModifiedDate":"2025-04-01T15:21:50.068321","indexId":"70265077","displayToPublicDate":"2025-03-27T08:15:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Limited directional change in mountaintop plant communities over 19 years in western North America","docAbstract":"Plant communities on mountain summits are commonly long-lived, cold-adapted perennials with low dispersal ability. These characteristics in tandem with limited area to track suitable conditions make these mountain communities potentially highly vulnerable to climate change, and indicators of climate change impacts. We investigated temporal changes in plant communities on 29 arid mountain summits across eight study regions in California and Nevada, USA, over 19 years. We analyzed community dynamics in terms of species richness, turnover, gain and loss of functional groups, and relative abundance of functional groups. First, across all summits and regions, we found no change in species richness over time. Second, there was relatively high species turnover (21.7%) between the five-year survey intervals, but turnover was not significantly different from random expectation. Within functional groups, forbs had the greatest proportion of gains and cushions had the greatest proportion of losses. Third, qualitative abundance categories presented a small but consistent signal of decrease in the relative abundance of cushions, graminoids, and shrubs/trees over the study period. Across a broad geographic scale and nearly two decades, community patterns were widely similar, suggesting that climate change has not impacted local colonization or extirpation of mountaintop species in this arid region. These findings support observed differences in response to climate change between temperature-limited and water-limited regions globally, and highlight the lagged and variable nature of high-elevation systems. Our findings fill a major data gap on alpine plant community responses to climate change in the western United States and bolster the importance of long-term ecological monitoring with rapid climate change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70197","usgsCitation":"Goff, K., Oldfather, M.F., Nachlinger, J., Smithers, B., Koontz, M., Bishop, C., Bishop, J., Burke, M., and Sheth, S., 2025, Limited directional change in mountaintop plant communities over 19 years in western North America: Ecosphere, v. 16, no. 3, e70197, 12 p., https://doi.org/10.1002/ecs2.70197.","productDescription":"e70197, 12 p.","ipdsId":"IP-167489","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70197","text":"Publisher Index Page"},{"id":484069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, 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,{"id":70264757,"text":"fs20253002 - 2025 - Critical Minerals in Ores (CMiO) database","interactions":[],"lastModifiedDate":"2026-01-23T21:37:38.090764","indexId":"fs20253002","displayToPublicDate":"2025-03-26T16:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3002","displayTitle":"Critical Minerals in Ores (CMiO) Database","title":"Critical Minerals in Ores (CMiO) database","docAbstract":"Critical minerals are commodities essential to modern industrial and strategic technologies and are highly vulnerable to supply chain disruption. The Critical Minerals Mapping Initiative (CMMI) is a collaboration among the U.S. Geological Survey (USGS), the Geological Survey of Canada, and Geoscience Australia that aims to deepen global understanding of where critical minerals are located. A key output of this initiative is the Critical Minerals in Ores (CMiO) database that is advancing our collective understanding of critical minerals distributions. For instance, publicly available data on the concentrations of many critical minerals are sparse because these commodities can only be produced in small, yet essential, quantities compared to the primary commodities like copper and zinc. The CMiO database helps bridge this gap by offering high-quality, multielement geochemical data from a wide variety of critical mineral-bearing deposits around the world. Importantly, it uses a novel consensus deposit environment, group, and type classification scheme developed by the agencies that allows comparisons among ore deposits from different regions. The CMiO database contains geochemical data for more than 20,000 samples from more than 100 deposit types comprising 10 deposit environments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253002","collaboration":"Prepared in collaboration with the Geological Survey of Canada and Geoscience Australia","programNote":"Mineral Resources Program","usgsCitation":"Case, G.N.D., Graham, G.E., Lawley, C.J.M., Bastrakov, E., Huston, D.L., Hofstra, A.H., Lisitsin, V., Hawkins, S.G., and Wang, B., 2025, Critical Minerals in Ores (CMiO) database (ver. 1.2, May 2025): U.S. Geological Survey Fact Sheet 2025–3002, 2 p., https://doi.org/10.3133/fs20253002.","productDescription":"Report: 2 p.; Dataset","onlineOnly":"N","ipdsId":"IP-172113","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":493736,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118563.htm","text":"Version 1.1","linkFileType":{"id":5,"text":"html"}},{"id":485219,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3002/versionHist.txt","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2025-3002 version history"},{"id":483999,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3002"},{"id":483900,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.xml"},{"id":483899,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3002/images"},{"id":483682,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pid.geoscience.gov.au/dataset/ga/145496","text":"Critical Minerals in Ores - geochemistry database"},{"id":483671,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3002/fs20253002.pdf","text":"Report","size":"5.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3002"},{"id":483670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3002/coverthb3.jpg"},{"id":498997,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118502.htm","text":"Version 1.0","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0: March 26, 2025; Version 1.1: April 30, 2025; Version 1.2: May 22, 2025","contact":"Program Coordinator, Mineral Resources Program
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913 National Center
Reston, VA 20192
A previous study evaluating restoration success of Paddlefish Polyodon spathula suggested that excessive turbidity in lakes and rivers may inhibit foraging by juveniles prior to the development of the rostrum. Although a Paddlefish's rostrum, which contains electroreceptors, helps the fish to locate zooplankton prey, the prerostrum stage lacks many of these electroreceptors, potentially affecting foraging in highly turbid waters. To evaluate this hypothesis, we conducted a series of laboratory experiments in small aquaria by varying the level of turbidity measured as Secchi tube depth: >95 (clear tap water), 40, 20, 10, or 5 cm.
For each foraging trial, approximately 300 zooplankton were added to the aquaria, followed by three postlarval Paddlefish, which were allowed to feed on the zooplankton for approximately 18 h. After the 18-h period, Paddlefish were removed and dissected and the zooplankton in the gut were counted to quantify foraging success.
From three experimental trials, we observed statistically significant nonlinear relationships for two trials, which included the largest fish tested. The smallest Paddlefish size-class showed no significant trend in foraging among turbidity treatments. However, the subsequent trials, which contained larger Paddlefish, both showed unimodal responses, with the highest foraging observed at moderate (30–50-cm Secchi tube depth) turbidity levels.
High turbidity and excessively clear water both appear to affect foraging by juvenile Paddlefish before the rostrum is fully developed, depending on fish size. Understanding this relationship can further influence management and restoration projects directed at this species.
Continental hydrothermal systems are critical avenues for the crustal transport of heat and mass captured for geothermal energy and mineral exploration. Thus, understanding their temporal evolution and longevity is important for resource characterization. Deposits of microlaminated siliceous sinter, common surface expressions of high temperature reservoirs (> 170 °C), have the potential to trace hydrothermal histories. Geothermal reservoirs are often located within uranium-bearing silicic volcanic rock where subsurface fluid-rock interactions extract U into hydrothermal fluids. U incorporated in the surface sinter deposit has the potential to provide a U—Th disequilibrium dating option. We focus on samples from El Tatio geyser field in the Altiplano of northern Chile, the largest geothermal system in the Andes. Our resulting 230Th/U ages, along with the water and deposit elemental compositions, suggest concentrations of U and Th vary predictably along the sinter apron. While distal facies containing the highest U concentrations (> 50 μg/g) are least affected by detrital Th corrections, they can display suspected open-system behavior. In contrast, more medial facies, where bacterial mats and other porous textures are commonly concentrated, have only trace amounts of U (< 0.1 μg/g), which leads to unreliable or geologically improbable dates. Proximal facies tend to date most consistently. By comparing existing 14C ages with 230Th/U results, 230Th/U ages tend to be younger than the 14C ages, supporting the presence of a 14C-dead carbon influence. New data confirm that the onset of geothermal activity at El Tatio goes back to the late Pleistocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108324","usgsCitation":"Sankovitch, L., Munoz-Saez, C., Hudson, A.M., Godfrey, L.V., and Thompson, J.M., 2025, Applying U-Th disequilbrium for dating siliceous sinters: Journal of Volcanology and Geothermal Research, v. 462, 108324, 16 p., https://doi.org/10.1016/j.jvolgeores.2025.108324.","productDescription":"108324, 16 p.","ipdsId":"IP-170814","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490997,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108324","text":"Publisher Index Page"},{"id":483983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Altiplano, El Tatio geyser field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.031,\n -22.32\n ],\n [\n -68.031,\n -22.355\n ],\n [\n -67.99,\n -22.355\n ],\n [\n -67.99,\n -22.32\n ],\n [\n -68.031,\n -22.32\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"462","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sankovitch, Lauren","contributorId":352884,"corporation":false,"usgs":false,"family":"Sankovitch","given":"Lauren","affiliations":[{"id":24706,"text":"University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz-Saez, Carolina","contributorId":261680,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":932311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":932312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godfrey, Linda V.","contributorId":211554,"corporation":false,"usgs":false,"family":"Godfrey","given":"Linda","email":"","middleInitial":"V.","affiliations":[{"id":38266,"text":"Dept Earth and Planetary Sciences, Rutgers University","active":true,"usgs":false}],"preferred":false,"id":932313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":932314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271425,"text":"70271425 - 2025 - Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2025-11-21T22:07:23.220798","indexId":"70271425","displayToPublicDate":"2025-03-26T08:23:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","title":"Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA","docAbstract":"Wangyanite (IMA2024-008a), ideally PdNi8S8, is a Pd end-member mineral of the pentlandite group that was discovered in the J-M reef of the Stillwater Complex, Montana, USA. Wangyanite occurs as anhedral-subhedral granular crystals 200–400 µm in size, associated with isoferroplatinum, braggite, pentlandite, and chalcopyrite interstitial to plagioclase grains within anorthosite. Wangyanite exhibits a yellowish brown color with a black streak and a metallic luster. It is brittle with uneven fractures, and has a calculated density of 5.14 g/cm3. The mineral does not show discernible pleochroism, bireflectance, or anisotropy. It has an average composition of 9.95 wt.% Pd, 31.95 wt.% Ni, 25.02 wt.% Fe, 0.57 wt.% Co, 31.74 wt.% S, totaling 99.23 wt.%. The empirical formula, based on eight sulfur atoms per formula unit, is (Pd0.76Co0.08)Σ0.84(Ni4.39Fe3.60)Σ7.99S8. Wangyanite has a cubic cell with a space group of Fm-3m (#225), having lattice parameters of a = 10.1167(12) Å, V = 1035.4(4) Å3, and Z = 4. Its crystal structure has been solved by single-crystal three-dimensional electron diffraction study. The strongest X-ray diffraction lines of wangyanite are claculated at [d in Å (I%)(hkl)]: 5.841(14.03)(111), 3.050(100)(311), 1.947(29.16)(115,333), 1.264(11.66)(800), 3.577(8.79)(220), 2.920(20.82)(222), and 2.321(9.34)(331). Wangyanite shares the same crystal structure as pentlandite, but the octahedrally coordinated site is mainly occupied by Pd in wangyanite. Based on the textural features and previous experimental Pd-Fe-Ni-S phase system, wangyanite could form by peritectic reaction between braggite, pentlandite and sulfide liquid. These mineral associations are stable in a Ni-Pd-rich sulfide melt system at about 550 °C or even lower temperature. Therefore, wangyanite can potentially serve as an indicator of the presence of Pd-rich residual melts. The mineral is named in honor of Prof. Christina Yan Wang, a well-known researcher on platinum-group element (PGE) occurrences and enrichment mechanisms in mafic-ultramafic intrusions, notably those deposits related to the Emeishan large igneous province in China.
","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9640","usgsCitation":"Chen, C., Xian, H., Jenkins, C., Yao, Z., Yang, Y., Lin, X., Li, S., Xi, J., Yuan, Y., Zhu, J., and He, H., 2025, Wangyanite, PdNi8S8, a new Pd end-member mineral of the pentlandite group from the J-M reef, Stillwater Complex, Montana, USA: American Mineralogist, v. 110, no. 11, p. 1844-1853, https://doi.org/10.2138/am-2024-9640.","productDescription":"10 p.","startPage":"1844","endPage":"1853","ipdsId":"IP-171842","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 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Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Yuhuan","contributorId":361381,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuhuan","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":948716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhu, Jianxi","contributorId":361382,"corporation":false,"usgs":false,"family":"Zhu","given":"Jianxi","affiliations":[{"id":86258,"text":"CAS Key Laboratory of Mineralogy and Metallogeny, Guangdong Provincial Key Laboratory of Mineral Physics and 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applications","interactions":[],"lastModifiedDate":"2025-06-23T15:20:23.515805","indexId":"70265500","displayToPublicDate":"2025-03-26T08:12:57","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":"Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications","docAbstract":"Habitat features needed by wildlife can change in composition throughout the year, particularly in temperate ecosystems, leading to distinct seasonal spatial-use patterns. Studies of species-habitat associations therefore often focus on understanding relationships within discrete seasonal periods with common goals of prediction (e.g., habitat mapping) and inference (e.g., interpreting model coefficients). Across the range of the greater sage-grouse (Centrocercus urophasianus) of western North America, the increasing use of high-frequency tracking devices has led to a surge in habitat association studies covering multiple temporal periods and spatial extents. We reviewed the literature for seasonal habitat association studies corresponding to the second and third orders of selection (Johnson 1980). Our objectives were to summarize the methodological approaches used to estimate habitat associations to aid understanding in cross-study comparisons and identify common habitat features reported as selected or avoided within different seasonal periods. We reviewed 71 second- and third-order studies published from 2007–2023 that evaluated covariates collected in a geographic information system (GIS) and modeled probability of selection or intensity of use. The most common study design evaluated a single level of selection (third-order) and was multi-scale (i.e., covariates were measured at varying spatial grains). The most common model approach estimated habitat associations using resource selection functions (RSFs) fit with logistic regression. Studies mostly focused on the breeding periods and winter, but all seasons throughout the annual cycle were covered. There was clear support for selection of sagebrush and avoidance of trees and rugged terrain across seasons, and strong selection of mesic conditions in summer. However, habitat associations for most covariates were mixed, with proportionally equivalent selection and avoidance reported, even within the same seasons. Different factors hampered cross-study comparisons, including variation in study design, but additional contributors likely included important context-dependent habitat associations, such as functional responses to changing habitat availability. We suggest collaborative studies leveraging multiple datasets can help improve seasonal habitat inference by removing the effects of variable study designs.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70022","usgsCitation":"Wann, G.T., Whipple, A.L., Orning, E.K., McLachlan, M.M., Beck, J.L., Coates, P., Conway, C.J., Dinkins, J.B., Johnston, A.N., Hagen, C., Makela, P., Naugle, D., Schroeder, M.A., Sedinger, J.S., Walker, B.L., Williams, P.J., Inman, R.D., and Aldridge, C.L., 2025, Greater sage-grouse seasonal habitat associations: A review and considerations for interpretation and management applications: Journal of Wildlife Management, v. 89, no. 5, e70022, 33 p., https://doi.org/10.1002/jwmg.70022.","productDescription":"e70022, 33 p.","ipdsId":"IP-154951","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488629,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70022","text":"Publisher Index 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Wildlife","active":true,"usgs":false}],"preferred":false,"id":932842,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":932843,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Walker, Brett L.","contributorId":82964,"corporation":false,"usgs":true,"family":"Walker","given":"Brett","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":932844,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":932845,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":932846,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":932847,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70268950,"text":"70268950 - 2025 - Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","interactions":[],"lastModifiedDate":"2025-07-11T15:08:06.152682","indexId":"70268950","displayToPublicDate":"2025-03-26T08:03:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises","docAbstract":"The social structure of translocated animal populations can have important effects on the survival and reproduction of translocated individuals for both solitary and social species. The gopher tortoise (Gopherus polyphemus) is a reptile of conservation concern that is currently experiencing high levels of mitigation translocation in Florida, USA. Individuals live in aggregations of burrows with frequent agonistic, courtship, and burrow-sharing interactions between residents. Given that exposure to many unfamiliar individuals may increase the frequency of aggressive interactions and social stress following translocation, we predicted that tortoises with greater numbers of familiar individuals co-translocated from the same origin site would have higher survival after translocation. To test this, we updated a recently published survival analysis of 2,822 translocated tortoises and 502 identified carcasses from a translocation site in the western Florida panhandle from 2006–2022. After controlling for simultaneous effects of soft-release enclosure identity, release season, release density, region of origin, sex, and size, adding the number of potentially familiar individuals improved model fit and showed increasing the number of familiars reduced the probability of being found dead. This effect was modulated by release density, being apparent only when density was high, suggesting a role for social interactions. This effect was also present only in the first few years after release, prior to the removal of soft-release enclosures preventing dispersal, and was similar in magnitude to previously identified effects of density, release season, and region of origin. We suggest that this effect may result from reduced aggressive interactions or social stress for tortoises with a greater number of familiar individuals in their release enclosures but cannot rule out the possibility of reduced novel pathogen exposure for individuals released with a greater number of individuals from the same source site or other factors that may be confounded with the size of translocated groups. Designing and implementing mitigation translocations to account for social composition of gopher tortoise groups could improve survival in release enclosures.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70020","usgsCitation":"Loope, K., Cozad, R., Breakfield, D., Aresco, M., and Hunter, E.A., 2025, Social composition of soft‐release groups is correlated with survival of translocated gopher tortoises: The Journal of Wildlife Management, v. 89, no. 5, e70020, 14 p., https://doi.org/10.1002/jwmg.70020.","productDescription":"e70020, 14 p.","ipdsId":"IP-169542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70020","text":"Publisher Index Page"},{"id":492133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.75224246079063,\n 30.992257366593762\n ],\n [\n -87.75224246079063,\n 29.82890590815998\n ],\n [\n -84.30370034537961,\n 29.82890590815998\n ],\n [\n -84.30370034537961,\n 30.992257366593762\n ],\n [\n -87.75224246079063,\n 30.992257366593762\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Loope, Kevin J.","contributorId":357851,"corporation":false,"usgs":false,"family":"Loope","given":"Kevin J.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":942703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozad, Rebecca A.","contributorId":357853,"corporation":false,"usgs":false,"family":"Cozad","given":"Rebecca A.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breakfield, Derek. B.","contributorId":357855,"corporation":false,"usgs":false,"family":"Breakfield","given":"Derek. B.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aresco, Matthew J.","contributorId":357857,"corporation":false,"usgs":false,"family":"Aresco","given":"Matthew J.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":942706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266844,"text":"70266844 - 2025 - Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands","interactions":[],"lastModifiedDate":"2025-05-13T15:09:17.143776","indexId":"70266844","displayToPublicDate":"2025-03-26T07:59:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands","docAbstract":"1. Decomposition controls the release of carbon and nutrients from decaying plant litter into soils or the atmosphere. In most biomes decomposition rates can be accurately predicted with simple mathematical models, but these models have long under-predicted decomposition in globally- extensive drylands.
2. We posit that the exposed surface conditions characteristic of drylands makes litter decomposition uniquely subject to microsite-specific environmental controls and spatially-variable microbial communities. As such, decomposition in dryland ecosystems – which are characterized by extremes in temporal heterogeneity of climate conditions and spatial heterogeneity of vegetation cover with corresponding microclimate variability – is a prime example of a macrosystems process that can be addressed by merging field data with new predictive models operating across a hierarchical continuum of spatial scales and process resolutions.
3. A macrosystems approach offers promise to reconcile model-measurement discrepancies by integrating observations and experiments across multiple scales, from microsites (e.g., shrub sub-canopy or intercanopy) to regions (e.g., across a 100s of km2 study site with complex topography, precipitation, and temperature) and ultimately to a continental perspective (e.g., North American drylands).
4. Recent developments in technology and data availability position the scientific community to integrate lab, field, modeling, and remote sensing approaches across a hierarchical range of scales to capture the spatiotemporal distribution of litter and environmental conditions needed to predict decay dynamics at the micro-to-macroscale. This multi-scale approach promises a path forward to resolving a longstanding disconnect between measured and modeled data in dryland litter decomposition.
5. Dryland litter decomposition presents an excellent case study for resolving spatially and temporally complex biogeochemical dynamics through a hierarchical, multidisciplinary macrosystems approach.
6. We focus on dryland litter decomposition, but the hierarchical, multidisciplinary macrosystems approach we outline shows great potential for resolving other spatially and temporally complex biogeochemical processes across a wide range of ecosystems.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70029","usgsCitation":"Throop, H.L., Li, J., Moorhead, D., Reed, S., Todd-Brown, K., Besser, A., Bloom, D., Ingalls, T., and Cueva, A., 2025, Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands: Functional Ecology, 11 p., https://doi.org/10.1111/1365-2435.70029.","productDescription":"11 p.","ipdsId":"IP-176124","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70029","text":"Publisher Index Page"},{"id":485815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":936890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Jiwei","contributorId":355122,"corporation":false,"usgs":false,"family":"Li","given":"Jiwei","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moorhead, Daryl L.","contributorId":355123,"corporation":false,"usgs":false,"family":"Moorhead","given":"Daryl L.","affiliations":[{"id":84710,"text":"Toledo University, Biology Department, Toledo, OH USA","active":true,"usgs":false}],"preferred":false,"id":936892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":936893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Todd-Brown, Katherine","contributorId":197914,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","affiliations":[],"preferred":false,"id":936894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Besser, Alexi","contributorId":355124,"corporation":false,"usgs":false,"family":"Besser","given":"Alexi","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bloom, Dellena","contributorId":355125,"corporation":false,"usgs":false,"family":"Bloom","given":"Dellena","affiliations":[{"id":84713,"text":"University of Florida, Engineering School of Sustainable Infrastructure and Environment, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":936896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ingalls, Thomas","contributorId":355126,"corporation":false,"usgs":false,"family":"Ingalls","given":"Thomas","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cueva, Alejandro","contributorId":355127,"corporation":false,"usgs":false,"family":"Cueva","given":"Alejandro","affiliations":[{"id":84714,"text":"El Colegio de la Frontera Sur, Departemento de Ecosistema Ecologico, San Cristobal, Mexico","active":true,"usgs":false}],"preferred":false,"id":936898,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264859,"text":"70264859 - 2025 - Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","interactions":[],"lastModifiedDate":"2025-03-26T15:30:46.139491","indexId":"70264859","displayToPublicDate":"2025-03-25T10:22:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigrica) breeding in Arctic and subarctic Alaska","title":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","docAbstract":"Since the 1980s, Pacific Black Brant (Branta bernicla nigricans, hereafter brant) have shifted their winter distribution northward from Mexico to Alaska (approximately 4500 km) with changes in climate. Alongside this shift, the primary breeding population of brant has declined. To understand the population-level implications of the changing migration strategy of brant, it is important to connect movement and demographic data. Our objectives were to calculate migratory connectivity, a measure of spatial and temporal overlap during the non-breeding period, for Arctic and subarctic breeding populations of brant, and to determine if variation in migration strategies affected nesting phenology and nest survival.
We derived a migratory network using light-level geolocator migration tracks from an Arctic site (Colville River Delta) and a subarctic site (Tutakoke River) in Alaska. Using this network, we quantified the migratory connectivity of the two populations during the winter. We also compared nest success rates among brant that used different combinations of winter sites and breeding sites.
The two breeding populations were well mixed during the winter, as indicated by a migratory connectivity score close to 0 (− 0.06) at the primary wintering sites of Izembek Lagoon, Alaska (n = 11 brant) and Baja California, Mexico (n = 48). However, Arctic birds were more likely to migrate the shorter distance to Izembek (transition probability = 0.24) compared to subarctic birds (transition probability = 0.09). Nest survival for both breeding populations was relatively high (0.88–0.92), and we did not detect an effect of wintering site on nest success the following year.
Nest survival of brant did not differ among brant that used wintering sites despite a 4500 km difference in migration distances. Our results also suggested that the growing Arctic breeding population is unlikely to compensate for declines in the larger breeding population of brant in the subarctic. However, this study took place in 2011–2014 and wintering at Izembek Lagoon may have greater implications for reproductive success under future climate conditions.
","language":"English","publisher":"Biomed Central","doi":"10.1186/s40462-025-00530-z","usgsCitation":"Matsuoka, T., Patil, V.P., Hupp, J., Leach, A.G., Reed, J., Sedinger, J.S., and Ward, D., 2025, Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska: Movement Ecology, v. 13, 21, 13 p., https://doi.org/10.1186/s40462-025-00530-z.","productDescription":"21, 13 p.","ipdsId":"IP-165239","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00530-z","text":"Publisher Index Page"},{"id":483879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.81790807363556,\n 25.109390075267115\n ],\n [\n -111.12577320220554,\n 27.35015894013445\n ],\n [\n -120.0723516818312,\n 35.91671872458075\n ],\n [\n -123.33332088662812,\n 40.09627486987472\n ],\n [\n -121.76064748127651,\n 47.98998229927324\n ],\n [\n -130.2791770051045,\n 55.04657100955589\n ],\n [\n -136.74332020250924,\n 60.0900518762904\n ],\n [\n -151.50218954211437,\n 61.77599779101939\n ],\n [\n -149.6269528576101,\n 71.05149390049743\n ],\n [\n -170.1204062110206,\n 69.1137478231604\n ],\n [\n -168.34559408430363,\n 64.82390470369859\n ],\n [\n -168.00886131353556,\n 59.730643122555506\n ],\n [\n -161.62008391184636,\n 54.513433513042116\n ],\n [\n -144.88512099831664,\n 59.17828589453629\n ],\n [\n -135.41036792441935,\n 55.18200025222632\n ],\n [\n -131.56466235414842,\n 51.06113369117236\n ],\n [\n -126.52375383157013,\n 47.127718603387564\n ],\n [\n -125.86832751079751,\n 39.580339094365684\n ],\n [\n -119.94329894845731,\n 31.85072142642305\n ],\n [\n -113.81790807363556,\n 25.109390075267115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Matsuoka, Toshio Doroff 0009-0009-4235-2614","orcid":"https://orcid.org/0009-0009-4235-2614","contributorId":352705,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Toshio Doroff","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":932067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":932068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Jerry W. 0000-0002-6439-3910","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":339472,"corporation":false,"usgs":false,"family":"Hupp","given":"Jerry W.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":932069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, John 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":214852,"corporation":false,"usgs":true,"family":"Reed","given":"John","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":932071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":932072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H.","contributorId":352708,"corporation":false,"usgs":false,"family":"Ward","given":"David H.","affiliations":[{"id":84288,"text":"U.S. Geological Survey Alaska Science Center (Emeritus)","active":true,"usgs":false}],"preferred":false,"id":932073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264861,"text":"70264861 - 2025 - Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","interactions":[],"lastModifiedDate":"2025-05-28T14:53:12.678207","indexId":"70264861","displayToPublicDate":"2025-03-25T10:05:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","docAbstract":"The Sangre de Cristo Range in southern Colorado exposes some of the deepest Cenozoic structural levels in the Rocky Mountain region, including mylonitic shear zones associated with both the Laramide orogeny and Rio Grande rift. We investigated the relation between Laramide contraction and Rio Grande rift extension with detailed geologic mapping, kinematic analysis, and geochronometry in a 50 km2 area centered on the Independence Mine shear zone (IMSZ). The 15−100-m-thick IMSZ is one of several shallowly to moderately (∼45° ± 20°) W-SW−dipping brittle-plastic shear zones along the western flank of the range. These shear zones display microstructural evidence of initiation as top-NE contractional mylonite zones, consistent with regional Laramide kinematics, which have been pervasively overprinted by shear fabrics indicating top-SW extensional reactivation. Both top-NE and top-SW shear fabrics involve cataclasis and quartz dislocation creep, although top-SW shear is more commonly localized along phyllosilicate-lined shear bands. Shear zones are hosted predominately within Proterozoic gneiss, and contain abundant chlorite and white mica derived from alteration of hornblende and feldspar, which indicates that weakening driven by fluid reactions played an important role in localizing strain. Extensional overprinting appears to be most pervasive along more steeply dipping portions of shear zones and where secondary phyllosilicates form an interconnected weak phase, which suggests that reactivation was primarily controlled by geometry and rheological contrasts inherited from contraction. One top-SW shear zone adjacent to the IMSZ cuts a late Oligocene gabbro stock, and monazite grains synkinematic with top-SW shear in the IMSZ yielded late Oligocene to Early Miocene U-Th-Pb dates that correspond with initiation of the Rio Grande rift. Reactivation of weak reverse faults may represent an important structural control during initial extension in the middle crust, prior to slip along the high-angle Sangre de Cristo normal fault system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02772.1","usgsCitation":"Sitar, M., Singleton, J.S., Rahl, J., Caine, J., King, J., Kylander-Clark, A.R., and O’Sullivan, P., 2025, Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction: Geosphere, v. 21, no. 3, p. 446-469, https://doi.org/10.1130/GES02772.1.","productDescription":"24 p.","startPage":"446","endPage":"469","ipdsId":"IP-163394","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488514,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02772.1","text":"Publisher Index Page"},{"id":483877,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Sangre de Christo Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.75,\n 38.125\n ],\n [\n -105.75,\n 37.5\n ],\n [\n -105.25,\n 37.5\n ],\n [\n -105.25,\n 38.125\n ],\n [\n -105.75,\n 38.125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sitar, Michael C. 0000-0003-0688-1067","orcid":"https://orcid.org/0000-0003-0688-1067","contributorId":352709,"corporation":false,"usgs":false,"family":"Sitar","given":"Michael C.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singleton, John S. 0000-0001-9399-7732","orcid":"https://orcid.org/0000-0001-9399-7732","contributorId":306242,"corporation":false,"usgs":false,"family":"Singleton","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":932082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rahl, Jeffrey M. 0000-0002-9195-8294","orcid":"https://orcid.org/0000-0002-9195-8294","contributorId":352710,"corporation":false,"usgs":false,"family":"Rahl","given":"Jeffrey M.","affiliations":[{"id":37754,"text":"Washington and Lee University, Lexington, VA","active":true,"usgs":false}],"preferred":false,"id":932083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":932084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Jacob","contributorId":352711,"corporation":false,"usgs":false,"family":"King","given":"Jacob","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R C","contributorId":269776,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R C","affiliations":[{"id":27356,"text":"UC-Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":932086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Sullivan, Paul","contributorId":352712,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","affiliations":[{"id":84291,"text":"GeoSep Services, Moscow, ID","active":true,"usgs":false}],"preferred":false,"id":932087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268343,"text":"70268343 - 2025 - C4 photosynthesis, trait spectra, and the fast-efficient phenotype","interactions":[],"lastModifiedDate":"2025-06-23T14:52:23.53561","indexId":"70268343","displayToPublicDate":"2025-03-25T09:49:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","title":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","docAbstract":"It has been 60 years since the discovery of C4 photosynthesis, an event that rewrote our understanding of plant adaptation, ecosystem responses to global change, and global food security. Despite six decades of research, one aspect of C4 photosynthesis that remains poorly understood is how the pathway fits into the broader context of adaptive trait spectra, which form our modern view of functional trait ecology. The C4 CO2-concentrating mechanism supports a general C4 plant phenotype capable of fast growth and high resource-use efficiencies. The fast-efficient C4 phenotype has the potential to operate at high productivity rates, while allowing for less biomass allocation to root production and nutrient acquisition, thereby providing opportunities for the evolution of novel trait covariances and the exploitation of new ecological niches. We propose the placement of the C4 fast-efficient phenotype near the acquisitive pole of the world-wide leaf economic spectrum, but with a pathway-specific span of trait space, wherein selection shapes both acquisitive and conservative adaptive strategies. A trait-based perspective of C4 photosynthesis will open new paths to crop improvement, global biogeochemical modeling, the management of invasive species, and the restoration of disturbed ecosystems, particularly in grasslands.
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70057","usgsCitation":"Monson, R., Li, S., Ainsworth, E.A., Fan, Y., Hodge, J., Knapp, A.K., Leakey, A., Lombardozzi, D., Reed, S., Sage, R.F., Smith, M.D., Smith, N.G., Still, C.J., and Way, D.A., 2025, C4 photosynthesis, trait spectra, and the fast-efficient phenotype: New Phytologist, v. 246, no. 3, p. 879-893, https://doi.org/10.1111/nph.70057.","productDescription":"15 p.","startPage":"879","endPage":"893","ipdsId":"IP-175808","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70057","text":"Publisher Index Page"},{"id":491104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"246","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Monson, Russell K.","contributorId":357242,"corporation":false,"usgs":false,"family":"Monson","given":"Russell K.","affiliations":[{"id":85357,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA","active":true,"usgs":false}],"preferred":false,"id":940873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Shuai","contributorId":357243,"corporation":false,"usgs":false,"family":"Li","given":"Shuai","affiliations":[{"id":85358,"text":"Guangdong Provincial Key Lab. of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China; Carl R. Woese Institute for Genomic Biology, Uni of Illinois at Urbana-Champaign, Urbana, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":940874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ainsworth, Elizabeth A.","contributorId":266079,"corporation":false,"usgs":false,"family":"Ainsworth","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":54883,"text":"USDA ARS GCPRU, 1201 W. Gregory Drive, Urbana, IL 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fan, Yuzhen","contributorId":357244,"corporation":false,"usgs":false,"family":"Fan","given":"Yuzhen","affiliations":[{"id":85359,"text":"Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":940876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodge, John G.","contributorId":357245,"corporation":false,"usgs":false,"family":"Hodge","given":"John G.","affiliations":[{"id":85360,"text":"Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, Illinois, 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knapp, Alan K.","contributorId":223624,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan","email":"","middleInitial":"K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leakey, Andrew D.B.","contributorId":266112,"corporation":false,"usgs":false,"family":"Leakey","given":"Andrew D.B.","affiliations":[{"id":54910,"text":"Departments of Plant Biology and Crop Sciences, University of Illinois at Urbana-Champaign, 1206 W Gregory Dr, Urbana, IL 61801, USA","active":true,"usgs":false}],"preferred":false,"id":940879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lombardozzi, Danica","contributorId":357246,"corporation":false,"usgs":false,"family":"Lombardozzi","given":"Danica","affiliations":[{"id":85361,"text":"Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80521 USA","active":true,"usgs":false}],"preferred":false,"id":940880,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":940881,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sage, Rowan F.","contributorId":296142,"corporation":false,"usgs":false,"family":"Sage","given":"Rowan","email":"","middleInitial":"F.","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":940882,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Melinda D.","contributorId":223621,"corporation":false,"usgs":false,"family":"Smith","given":"Melinda","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940883,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Nicholas G.","contributorId":266125,"corporation":false,"usgs":false,"family":"Smith","given":"Nicholas","email":"","middleInitial":"G.","affiliations":[{"id":54920,"text":"Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA","active":true,"usgs":false}],"preferred":false,"id":940884,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Still, Christopher J.","contributorId":167581,"corporation":false,"usgs":false,"family":"Still","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":24761,"text":"University of California, Santa Barbara; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940885,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Way, Danielle A.","contributorId":199465,"corporation":false,"usgs":false,"family":"Way","given":"Danielle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":940886,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70265455,"text":"70265455 - 2025 - Sea Lamprey control reduction during the COVID-19 pandemic corresponds to rapid increase in Sea Lamprey abundance","interactions":[],"lastModifiedDate":"2025-09-09T14:35:47.538135","indexId":"70265455","displayToPublicDate":"2025-03-25T09:35:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Sea Lamprey control reduction during the COVID-19 pandemic corresponds to rapid increase in Sea Lamprey abundance","docAbstract":"The Sea Lamprey Petromyzon marinus control program in the Laurentian Great Lakes is one of the longest-running and most successful invasive species suppression programs in the world. Although several techniques are used to suppress Sea Lamprey, the control program relies heavily on regular application of lampricide to kill stream-dwelling larvae. The COVID-19 pandemic disrupted lampricide application from 2020 to 2022, which provided a unique opportunity to test how Sea Lamprey populations and wound counts on fishes would respond. We evaluated the consequences of decreased control effort at a basin-wide level using standard control program metrics and through a focused analysis of multispecies wounding in Lake Ontario, which experienced the greatest disruption in Sea Lamprey control. The reduction in control effort corresponded to increased basin-wide adult Sea Lamprey abundance but was only weakly associated with Lake Trout Salvelinus namaycush wounding. However, the novel multispecies wounding rate metric calculated for Lake Ontario increased and was consistent with observations by anglers and managers regarding a sharp increase in Sea Lamprey abundance following reduced effort. Ultimately, our research highlights that consistent treatment is critically important for preventing damage stemming from Sea Lamprey and that reductions in suppression could quickly lead to a resurgence in abundance.
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