{"pageNumber":"64","pageRowStart":"1575","pageSize":"25","recordCount":165458,"records":[{"id":70274132,"text":"70274132 - 2025 - Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","interactions":[],"lastModifiedDate":"2026-02-27T15:12:54.920259","indexId":"70274132","displayToPublicDate":"2025-06-06T09:00:52","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":"Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","docAbstract":"<p><span>Accurate abundance estimates are critical for informed management of wildlife populations. In New Mexico, USA, minimum counts from aerial surveys are the primary basis for management decisions regarding desert bighorn sheep (</span><i>Ovis canadensis mexicana</i><span>); therefore, there is a need to assess methods that account for imperfect detection. Common survey methods for large mammals (i.e., sightability, double-observer, and double-observer sightability models) are known to result in biased estimates, but the presence of radio-collared individuals within a population allows for estimation of residual heterogeneity. Consequently, we explored the use of hybrid double-observer sightability approaches that account for residual heterogeneity when estimating abundance of desert bighorn sheep in the Fra Cristobal Mountains of New Mexico. We collected double-observer sightability data for 167 desert bighorn groups across 3 surveys between December 2016 and November 2017 and compared abundance estimates under 5 modeling methods: a standard sightability model (M</span><sub>S</sub><span>), a standard double-observer sightability model (M</span><sub>DS</sub><span>), a hybrid double-observer sightability model incorporating a recapture-type heterogeneity parameter (M</span><sub>R</sub><span>), a hybrid double-observer sightability model incorporating a mark-type heterogeneity parameter (M</span><sub>H</sub><span>), and a Lincoln-Petersen estimator. Across all model types, group behavior (moving vs. stationary) and group size influenced detection the most, followed by vegetation class, terrain type, and proportion of obscuring vegetation cover. Standard sightability models produced higher and less precise abundance estimates than all double-observer sightability models. Of the double-observer sightability models, M</span><sub>R</sub><span>&nbsp;was better supported and estimated greater abundance than M</span><sub>H</sub><span>&nbsp;and accounted for more bias than M</span><sub>DS</sub><span>. Both M</span><sub>R</sub><span>&nbsp;and M</span><sub>H</sub><span>&nbsp;yielded greater precision than M</span><sub>S</sub><span>. The M</span><sub>R</sub><span>&nbsp;models produced an average detection probability of&nbsp;</span><i>p</i><span> = 0.72 (SE = 0.02) and abundance estimates of N⌃</span><span> = 302 (95% CI = 262−385), N⌃</span><span>= 290 (95% CI = 261−340), and N⌃</span><span>= 352 (95% CI = 264−548) for the December 2016, May 2017, and November 2017 surveys, respectively. Lincoln-Petersen estimates of abundance were greater than all double-observer sightability models and similarly precise, but their usefulness is reduced given the requirement to permanently maintain a subset of animals with radio-collars combined with the inability to incorporate information from factors influencing detection probability. Further, because residual heterogeneity models better estimate visibility bias, are flexible in their accommodation of radio-collar data, and can be adapted to unique survey occasions, they present a viable and robust option for estimating desert bighorn sheep abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70050","usgsCitation":"Ruhl, C., Cain, J.W., Abadi, F., and Hennig, J.D., 2025, Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity: Journal of Wildlife Management, v. 89, no. 6, e70050, 18 p., https://doi.org/10.1002/jwmg.70050.","productDescription":"e70050, 18 p.","ipdsId":"IP-173007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70050","text":"Publisher Index Page"},{"id":500645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fra Cristobal Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":956626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":956629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267976,"text":"70267976 - 2025 - Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023","interactions":[],"lastModifiedDate":"2025-06-10T13:55:36.597463","indexId":"70267976","displayToPublicDate":"2025-06-06T08:49:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023","docAbstract":"Dixie Meadows, Nevada, is a system of geothermal springs and seeps that feed a complex of marshes and wetland meadows that are located within lands managed by the Bureau of Land Management (BLM) and the Department of Defense (DOD). A previous U.S. Geological Survey report documented variability in satellite imagery-based land cover classifications for seven wetland complexes at near monthly time intervals between October 2015 and January 2022. This report presents additional data, extending analysis to November 2023. Land cover classifications between October 2015 and November 2023 demonstrated an association between vegetation cover characteristics and surface moisture, with Class 1 having dry, bare soil or sparse upland vegetation, Class 2 having moist, bare soil or sparse to small vegetation, Class 3 having dense green vegetation with potentially saturated soil conditions, Class 4 having a mix of shallow surface water, saturated soil, and dense green vegetation, and Class 5 having open surface water. Most of the wetland complexes occur close to spring outflows primarily within land managed by the DOD, though portions are also within BLM lands. The intervening and surrounding landscape outside of the wetland complexes assessed in this study are managed by the BLM. As a result, Class 1 land covers had the largest areal coverage for BLM managed lands. Classes 2 and 3 land covers were primarily mapped inside the wetland complexes and thus had the largest area coverage within DOD managed lands. Class 4 was almost exclusively mapped within the wetland complexes and thus was largely contained within DOD managed lands. Class 5 (open water) was exclusively mapped in and adjacent to a single wetland complex with catchment ponds on land managed by the BLM. The distribution of these land cover classes over the study period was seasonally and annually variable. Land cover areas of Classes 1 and 2 were larger during the spring months. Conversely, land cover areas of Classes 3 and 4 tended to be greatest during the summer or fall. These patterns might be influenced by differences in seasonal water sources and phenology.","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/3632813421","usgsCitation":"Caster, J., Sankey, J., and Bransky, N., 2025, Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023: Cooperator Report, iii, 26 p., https://doi.org/10.3996/3632813421.","productDescription":"iii, 26 p.","ipdsId":"IP-172972","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Churchill County","otherGeospatial":"Dixie 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Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bransky, Nathaniel 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269954,"text":"70269954 - 2025 - Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome","interactions":[],"lastModifiedDate":"2025-08-07T15:57:59.822666","indexId":"70269954","displayToPublicDate":"2025-06-06T08:47:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome","docAbstract":"<p><span>Shifting precipitation regimes driven by global climate change can alter vertebrate behavior and host-symbiont relationships, potentially compromising host resistance to pathogen invasion. In Brazil's Atlantic Forest, a biodiversity hotspot, prior research identified drought as a key factor disrupting the skin microbiome, contributing to a die-off of pumpkin toadlets due to the invasive waterborne fungal pathogen&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd). However, observational studies cannot disentangle the direct effect of moisture on Bd growth from increased amphibian activity during wet breeding seasons. Using field enclosures, we experimentally tested the influence of drought conditions on host microhabitat use, Bd disease dynamics, and the composition and predicted Bd-inhibitory function of cutaneous bacterial communities. Each enclosure housed ecologically realistic densities of&nbsp;</span><i>Brachycephalus pitanga</i><span>, a micro-endemic pumpkin toadlet. We simulated a short-term drought in half of the enclosures using translucent tarp coverings. To track individual toadlets, we identified their unique markings and collected skin swabs biweekly over 3 months. We then implemented molecular techniques to quantify Bd loads and characterize skin bacterial diversity and composition over time. Our findings indicate that while drought may reduce overall Bd loads on hosts, this effect is partially offset by an increase in the use of water-filled areas of the enclosures and by a disruption of the protective host skin microbiome. This study provides valuable insights into the cascading impacts of climate change on animal behavior, host-symbiont interactions, and disease dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70275","usgsCitation":"Buttimer, S., Medina, D., Martins, R.A., da Silva, A., Neely, W.J., Haddad, C.F., DiRenzo, G.V., Catenazzi, A., Bell, R.C., and Becker, C., 2025, Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome: Global Change Biology, v. 31, no. 6, e70275, 14 p., https://doi.org/10.1111/gcb.70275.","productDescription":"e70275, 14 p.","ipdsId":"IP-171906","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70275","text":"Publisher Index Page"},{"id":493721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Atlantic Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -33.91702292628108,\n              -6.309338664502832\n            ],\n            [\n              -41.22299586596936,\n              -1.0638270494119197\n            ],\n            [\n              -51.45170879685632,\n              3.6607876112631033\n            ],\n            [\n              -52.112480465505584,\n              1.394527039769148\n            ],\n            [\n              -43.68726454529228,\n              -5.409944247035698\n            ],\n            [\n              -43.71680535232159,\n              -16.48391292460844\n            ],\n            [\n              -53.766910865648555,\n              -32.71442963881694\n            ],\n            [\n              -46.67665591608116,\n              -32.71442963881694\n            ],\n            [\n              -35.94509800292562,\n              -16.941121503280563\n            ],\n            [\n              -33.91702292628108,\n              -6.309338664502832\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Buttimer, Shannon","contributorId":359179,"corporation":false,"usgs":false,"family":"Buttimer","given":"Shannon","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina, Daniel","contributorId":359181,"corporation":false,"usgs":false,"family":"Medina","given":"Daniel","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martins, Renato A.","contributorId":359185,"corporation":false,"usgs":false,"family":"Martins","given":"Renato","middleInitial":"A.","affiliations":[{"id":85756,"text":"Universidade Federal de São Carlos","active":true,"usgs":false}],"preferred":false,"id":945030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva, Ana Gabrielle Morais","contributorId":359186,"corporation":false,"usgs":false,"family":"da Silva","given":"Ana Gabrielle Morais","affiliations":[{"id":85759,"text":"Centro Universitário Nossa Senhora do Patrocínio (CEUNSP)","active":true,"usgs":false}],"preferred":false,"id":945031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neely, Wesley J.","contributorId":359187,"corporation":false,"usgs":false,"family":"Neely","given":"Wesley","middleInitial":"J.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":945032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haddad, Célio F.B.","contributorId":359188,"corporation":false,"usgs":false,"family":"Haddad","given":"Célio","middleInitial":"F.B.","affiliations":[{"id":48854,"text":"Universidade Estadual Paulista","active":true,"usgs":false}],"preferred":false,"id":945033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":945034,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Catenazzi, Alessandro","contributorId":359189,"corporation":false,"usgs":false,"family":"Catenazzi","given":"Alessandro","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":945035,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bell, Rayna C.","contributorId":359190,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna","middleInitial":"C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":945036,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Becker, C. Guilherme","contributorId":359191,"corporation":false,"usgs":false,"family":"Becker","given":"C. Guilherme","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945037,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272280,"text":"70272280 - 2025 - Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","interactions":[],"lastModifiedDate":"2025-11-20T15:52:04.970413","indexId":"70272280","displayToPublicDate":"2025-06-06T08:46:28","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":"Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","docAbstract":"<p>Objective</p><p><span>Response efforts to control invasive species frequently require making decisions in the face of substantial uncertainty. Adaptive management, which emphasizes learning during the process of managing, can be useful in cases where uncertainty impedes the decision-making process. Here, we describe how technical and institutional learning led to reformulating decision-making elements, known as double-loop learning, and how uncertainty stemming from a lack of knowledge influenced the selection of alternative strategies in an ongoing adaptive management process for invasive Grass Carp&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;in Lake Erie.</span></p><p><span>Methods</span></p><p><span>When response efforts began, little was known about the population dynamics, ecology, and biology of Grass Carp within the lake. The availability of funding for sustained response efforts was also unknown. A network population model was constructed that relied heavily on values and estimates from limited data to project adult Grass Carp abundance in Lake Erie and evaluate the ability of various response strategies to achieve the desired objectives. After this initial assessment, the collection of new information was emphasized as response efforts increased to aid future assessments. With this expanded knowledge and including additional input from stakeholders, we modified the population model, evaluated new response scenarios, refined objectives, and examined the influence of uncertainty (parameter and expert opinion) on Grass Carp response efforts.</span></p><p><span>Results</span></p><p><span>Under uncertainty of population model parameters and expert opinion, the value-of-information analysis revealed that uncertainties in spawning deterrent efficacy, survival, and the underlying stock–recruitment relationship were important and could change the preferred decision. The efficiency of spawning deterrents influenced the preferred decision outcome among alternative strategies, particularly when &gt;80% of fish were allowed to pass and spawn, indicating that a deterrent may not be worth implementing if passing rates are above this threshold.</span></p><p><span>Conclusions</span></p><p><span>We thereby demonstrate the benefits for invasive species management programs of implementing learning and resolving uncertainties within an adaptive management framework to improve decision making.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf024","usgsCitation":"Bopp, J., Robinson, K.F., Nathan, L., Herbst, S., Brenden, T.O., Mayer, C.M., and Dettmers, J.M., 2025, Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie: Transactions of the American Fisheries Society, v. 154, no. 5, p. 490-504, https://doi.org/10.1093/tafafs/vnaf024.","productDescription":"15 p.","startPage":"490","endPage":"504","ipdsId":"IP-165964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ],\n            [\n              -83.5079013302731,\n              41.399469691253245\n            ],\n            [\n              -81.65747786109802,\n              41.376324727953744\n            ],\n            [\n              -78.90242947789875,\n              42.5800429820176\n            ],\n            [\n              -78.82019103981635,\n              42.918027622493554\n            ],\n            [\n              -81.18461172886784,\n              42.777400416489556\n            ],\n            [\n              -82.57242629175322,\n              42.229538209014315\n            ],\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nathan, Lucas","contributorId":351530,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":950664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenden, Travis O.","contributorId":362621,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":86538,"text":"Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":362622,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":950666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":362623,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70268190,"text":"70268190 - 2025 - The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse","interactions":[],"lastModifiedDate":"2025-06-17T13:46:43.079905","indexId":"70268190","displayToPublicDate":"2025-06-06T08:44:21","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"170-2025","title":"The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse","docAbstract":"<p><span>Greater sage-grouse (Centrocercus urophasianus) were once widespread within&nbsp;</span><span class=\"glossify-tooltip-link glossify-tooltip-popup\" aria-label=\"The western United States’ sagebrush country encompasses over 175 million acres of public and private lands. The sagebrush landscape provides many benefits to our rural economies and communities, and it serves as crucial habitat for a diversity of wildlife, including the iconic greater sage-grouse and over 350 other species.\">sagebrush<span>&nbsp;</span></span><span>-grassland ecosystems of western North America, but populations have declined since the mid-1960s. Though sage-grouse were not listed as threatened or endangered under the Endangered Species Act (ESA), when examined in 2015, they remain a species of interest and concern. Roughly half of the sage-grouse’s remaining habitat is on federal land, most of it managed by the Bureau of Land Management (BLM) and the U.S. Forest Service (USFS). Livestock grazing is the most extensive land use within sage-grouse habitat and the effects of livestock grazing on sage-grouse are often debated. The extensive decade-long research project summarized in this report was initiated to provide rigorous experimental research to inform the debate regarding the relationship between livestock grazing and sage-grouse. In 2012, the Idaho Grouse &amp; Grazing Project was started with several partners including the University of Idaho, BLM, Idaho Department of Fish and Game (IDFG), and other partners to evaluate the effects of cattle grazing on sage-grouse vital rates. Many additional supporters have provided resources to this research effort including the Public Lands Council, Idaho Cattle Association, Idaho Governor’s Office of Species Conservation, Western Association of Fish &amp; Wildlife Agencies, U.S. Fish and Wildlife Service, USFS, and numerous grazing associations and ranchers in Idaho. This 10-year research project was a scientifically rigorous and replicated experiment, occurring across five study sites in Idaho. This document is intended to provide a summary of the findings of this unprecedented study. Annual reports are available on the project’s website:&nbsp;</span><a href=\"https://idahogrousegrazing.org/\" data-mce-href=\"https://idahogrousegrazing.org/\">https://idahogrousegrazing.org</a><span>&nbsp;and scientific papers are being prepared and submitted to journals. The project focused on the influence of spring cattle grazing on sage-grouse vital rates across five study sites in Idaho including 21 BLM grazing pastures. From 2014-2023, we captured 1,343 grouse, documented the fate of 1,285 nests, and tracked 399 broods. Vegetation was characterized at 4,777 plots and grazing utilization levels were recorded at &gt;30,000 locations. Because insects are an important food source for sage-grouse hens and their chicks, insect biomass and diversity were also examined in this study. We collected arthropods in 12,151 pitfall samples and 6,217 sweep-net samples across 786 plots within our five study sites. At each study site, three or four grazing treatments were implemented after two years of pre-treatment field investigations. These controlled cattle grazing treatments included spring-grazing in even years, spring-grazing in odd years, spring-and-fall grazing in alternating years, and a no grazing (or rested) control. Once grazing treatments were implemented at a study site, we measured sage-grouse demographic traits for 4-8 years post-treatment. Stocking rate (grazing intensity) was assessed across pastures each year and was influenced by vegetation communities, topography, and water sources. Grazed pastures exhibited lower grass cover and height compared to the no grazing pastures, and the extent of this difference varied based on annual precipitation levels. Rested pastures maintained higher grass cover and grass height, but the differences in habitat&nbsp;</span><span class=\"glossify-tooltip-link glossify-tooltip-popup\" aria-label=\"Something temporarily or permanently constructed, built, or placed; and constructed of natural or manufactured parts including, but not limited to, a building, shed, cabin, porch, bridge, walkway, stair steps, sign, landing, platform, dock, rack, fence, telecommunication device, antennae, fish cleaning table, satellite dish/mount, or well head.\">structure<span>&nbsp;</span></span><span>did not consistently translate to differences in sage-grouse demographic traits. Apparent nesting success varied annually and by site, ranging from 24% to 44% over the study period. Like some other studies, results from this research show that successful (i.e., hatched) sage-grouse nests have taller grass heights than failed nests. The average grass height surrounding successful nests in grazed pastures was shorter than that surrounding successful nests in non-grazed (i.e., rested) pastures. It is well documented that grazing reduces grass height, and these observations have led to widely held assumptions that livestock grazing reduces grass height which negatively affects sage-grouse nesting habitat. At the pasture scale, this study has found that sage-grouse nesting success is no greater in pastures that were rested for 4-8 years than those currently or recently grazed. This study gives no indication that removing cattle from pastures affected nesting success. We found some evidence that nest density varied among the grazing treatments, but we did not see compelling evidence of increases in density of nesting hens following cessation of grazing in the no grazing treatments. Brood survival varied by site and year but showed no strong effect of grazing treatment. Climatic conditions, particularly drought in 2021, had a greater effect on brood survival than grazing metrics. We also found no differences in hen survival among the grazing treatments. Results of this study suggest that hens nesting in spring and fall grazed pastures had similar or even slightly higher brood survival than hens in the rested pastures or the spring grazed pastures. Arthropod biomass and species diversity varied among our study sites and the differences between grazed and rested pastures also varied among study sites. Average biomass and diversity of arthropods was higher in the spring grazed pastures on two of three sites examined but higher in the rested pastures on the other site examined. Some taxa of arthropods were more abundant in grazed pastures while other taxa were more abundant in rested pastures. For example, Carabidae (Ground Beetles) and Formicidae (Ants) had higher biomass in grazed pastures, while Tenebrionidae (Darkling Beetles) and Acrididae (Grasshoppers) had higher biomass in non-grazed pastures. Results indicate that grazing effects on arthropod biomass and arthropod diversity are study site-dependent, suggesting a need to better quantify the most important prey taxa for sage-grouse chicks and to better control for other factors that influence arthropod abundance. Based on results of this research, livestock grazing, when properly managed, does not appear to negatively impact sage-grouse nest survival or brood success. This study provides critical insights for land managers balancing livestock production with sage-grouse conservation, supporting adaptive grazing strategies that maintain both economic and ecological objectives.</span></p>","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/css82003131","usgsCitation":"Conway, C.J., Tisdale, C.A., Launchbaugh, K., Stevens, B.S., Overlie, G., Eigenbrode, S., Makela, P., and Roberts, S.B., 2025, The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse: Cooperator Science Series 170-2025, 90 p., https://doi.org/10.3996/css82003131.","productDescription":"90 p.","ipdsId":"IP-176838","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Idaho","active":true,"usgs":false}],"preferred":false,"id":940427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Makela, Paul D.","contributorId":355569,"corporation":false,"usgs":false,"family":"Makela","given":"Paul D.","affiliations":[{"id":84780,"text":"United States Department of Interior","active":true,"usgs":false}],"preferred":false,"id":940428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Shane B.","contributorId":338986,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","email":"","middleInitial":"B.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":940429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70269063,"text":"70269063 - 2025 - Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","interactions":[],"lastModifiedDate":"2025-08-04T16:01:10.233946","indexId":"70269063","displayToPublicDate":"2025-06-06T08:43:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (<i>Ctenopharyngodon idella</i>) response","title":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>) are large, invasive fish that threaten Lake Erie’s economy and ecosystem. Incidental catches of grass carp have occurred since the 1980s in Lake Erie, while multi-day removal events were carried out in 2014 and 2017.</span><span>&nbsp;</span><span>To mitigate ecosystem impacts, a large-scale, multi-agency response to remove as many grass carp as possible from the Lake Erie basin (“strike teams”) began in 2018 and</span><span>&nbsp;</span><span>has increased every year. To date, total annual removals of fish has been the primary measure of progress; however, total annual removals do not indicate how efforts are affecting the grass carp population. Population vital rates, such as mortality rate, can indicate population demographic changes and may provide an alternative approach to measure how removals have impacted the grass carp population. We estimated annual mortality rates using 553 grass carp, representing 82.9&nbsp;% of all grass carp removed in the Lake Erie basin, using a hierarchical catch-curve model and catch-at-age data from 2014 to 2022. Annual average mortality rates were initially low (4.3&nbsp;%) and increased between 2017 and 2022 with the highest mortality (13.6&nbsp;%) observed in 2021. Positive correlations between mortality and the number of fish harvested per year suggest that removals may be driving increases in the grass carp mortality rate. This increase in mortality rate shows promise for controlling the spread of grass carp within the Lake Erie ecosystem. This research supports the needs of fishery managers to better understand grass carp population dynamics and the adaptive management framework identified in the Lake Erie Grass Carp Adaptive Response Strategy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102606","usgsCitation":"Lang, K., Mayer, C.M., Dufour, M.R., Qian, S.S., Hintz, W.D., Kocovsky, P.M., Young, R., Acre, M.R., Weimer, E., Wilson, T.L., Kemp, C., Dettmers, J., Nathan, L., and Brown, R., 2025, Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response: Journal of Great Lakes Research, v. 51, no. 4, 102606, 10 p., https://doi.org/10.1016/j.jglr.2025.102606.","productDescription":"102606, 10 p.","ipdsId":"IP-154267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492342,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102606","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.62623310480353,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              40.77795698325497\n            ],\n            [\n              -78.62623310480353,\n              40.77795698325497\n            ],\n       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0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":943188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hintz, William D. 0000-0002-9755-5314","orcid":"https://orcid.org/0000-0002-9755-5314","contributorId":289161,"corporation":false,"usgs":false,"family":"Hintz","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":62060,"text":"Department of Environmental Sciences and Lake Erie Center, The University of Toledo 6200 Bay Shore Rd., Oregon OH 43616","active":true,"usgs":false}],"preferred":false,"id":943189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Ryan","contributorId":272036,"corporation":false,"usgs":false,"family":"Young","given":"Ryan","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943191,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural 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Commission","active":true,"usgs":false}],"preferred":false,"id":943196,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nathan, Lucas","contributorId":236997,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943197,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Brown, Ryan","contributorId":204846,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","affiliations":[{"id":36993,"text":"RAND","active":true,"usgs":false}],"preferred":false,"id":943198,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70273760,"text":"70273760 - 2025 - Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil","interactions":[],"lastModifiedDate":"2026-01-28T15:09:48.862262","indexId":"70273760","displayToPublicDate":"2025-06-06T08:02:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Polycyclic aromatic hydrocarbons (PAHs) are toxic constituents of crude oil that can induce cardiac dysfunction and vision impairment in early life stage (ELS) fishes. However, it is currently unknown whether visual impairments are independent effects or if they result from underlying PAH cardiotoxicity. To better understand this mechanism, microinjection of microRNA 133b (miR133b) was used to impair cardiac development in ELS zebrafish (injected at &lt;1.25 hpf). Vision and cardiac endpoints were compared between miR133b-injected and oil-exposed zebrafish (4–72 hpf, 54.68–60.41 µg/L tPAH</span><sub>50</sub><span>) to determine the influence of cardiac dysfunction and oil exposure on visual function. At 7 dpf, pericardial area and eye area were measured, and visual function was assessed by optokinetic response (OKR). Over 94 % of&nbsp;miR133b&nbsp;larvae and 45 % of oil-exposed larvae exhibited pericardial edema. Across treatments, there was a strong negative linear correlation between pericardial area and eye area (</span><i>r</i><span>=-0.839,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.0001). All&nbsp;miR133b&nbsp;larvae that exhibited pericardial edema and 18 % of the oil-exposed larvae that exhibited pericardial edema also exhibited reduced eye area (microphthalmia). In both the&nbsp;miR133b&nbsp;and oil groups, OKR was significantly reduced in larvae exhibiting pericardial edema (</span><i>p</i><span>&nbsp;&lt; 0.0001) and in larvae exhibiting reduced eye area (</span><i>p</i><span>&nbsp;&lt; 0.0001). A negative binomial generalized linear model (GLM) indicated that reduced eye area (</span><i>p</i><span>&nbsp;&lt; 0.0001), rather than pericardial edema (</span><i>p</i><span>&nbsp;= 0.76), was a significant predictor of OKR. However, pericardial edema was strongly correlated with reduced eye area across treatments. These results suggest that visual effects may result from an interaction of cardiotoxicity as well as direct impacts to the visual system.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107453","usgsCitation":"Leads, R.R., Magnuson, J.T., Greer, J.B., Green, C.S., Schlenk, D., and Roberts, A.P., 2025, Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil: Aquatic Toxicology, v. 286, 107453, 12 p., https://doi.org/10.1016/j.aquatox.2025.107453.","productDescription":"107453, 12 p.","ipdsId":"IP-176225","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leads, Rachel R.","contributorId":365676,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","middleInitial":"R.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Corey S.","contributorId":365677,"corporation":false,"usgs":false,"family":"Green","given":"Corey","middleInitial":"S.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":954602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Aaron P.","contributorId":365678,"corporation":false,"usgs":false,"family":"Roberts","given":"Aaron","middleInitial":"P.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268995,"text":"70268995 - 2025 - Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","interactions":[],"lastModifiedDate":"2025-07-14T14:55:27.547761","indexId":"70268995","displayToPublicDate":"2025-06-06T07:50:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","docAbstract":"Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies asynchronously and to varied extents across the lower four lakes, impacting fish Hg exposure. To test if fish are adapting to new biogeochemical conditions, we analyzed a 40 year fish archive for carbon and nitrogen isotope ratios and amino acid-specific nitrogen isotope ratios. To assess Hg sources, we measured Hg isotope ratios. We reconstructed and compared energetic pathways that impact fish Hg concentrations to Hg-source trends. We found fish-Hg concentrations are declining but not monotonically due to ecological disturbances. Fish-Hg isotope values, unimpacted by ecological disturbance, confirm that sources of bioaccumulated Hg shift contemporaneously with changes in atmospheric Hg concentrations. Across Lakes, the degree of responsiveness to changes in atmospheric Hg concentrations mirrors the proportion of atmospheric-delivered Hg we previously modeled. Changes in both fish concentrations and fish isotope values outpace paleolimnetic reconstructions suggesting declines in atmospheric Hg concentrations impact fish Hg more than sediment.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c01359","usgsCitation":"Lepak, R., Hoffman, J.C., Janssen, S., Tate, M., Gordon, M., Mahon, M.B., Rumschlag, S.L., Yarnes, C.T., Lennel, B., Krabbenhoft, D.P., Ogorek, J.M., and Hurley, J., 2025, Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions: Environmental Science and Technology, v. 59, no. 23, p. 11799-11808, https://doi.org/10.1021/acs.est.5c01359.","productDescription":"10 p.","startPage":"11799","endPage":"11808","ipdsId":"IP-167665","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.64760326850579,\n              47.06495229772227\n            ],\n            [\n              -93.20891184969928,\n              46.103688695042315\n            ],\n            [\n              -87.5500137546485,\n              46.37277272464145\n            ],\n            [\n              -88.67927702635576,\n              43.87776201174143\n            ],\n            [\n              -88.1667738741185,\n              41.499391271886395\n            ],\n            [\n              -80.87190521955166,\n              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]\n}","volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":942845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":942846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Morgann 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0000-0003-3125-8402","orcid":"https://orcid.org/0000-0003-3125-8402","contributorId":304823,"corporation":false,"usgs":false,"family":"Rumschlag","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":942851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yarnes, Christopher T.","contributorId":190916,"corporation":false,"usgs":false,"family":"Yarnes","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":942852,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lennel, Brian A.","contributorId":357903,"corporation":false,"usgs":false,"family":"Lennel","given":"Brian A.","affiliations":[{"id":85562,"text":"US EPA GLNPO","active":true,"usgs":false}],"preferred":false,"id":942853,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942854,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":942855,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hurley, James P.","contributorId":147931,"corporation":false,"usgs":false,"family":"Hurley","given":"James P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":942856,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70267838,"text":"fs20253028 - 2025 - Countdown to Apophis close approach—Cascading hazards from asteroid impacts","interactions":[],"lastModifiedDate":"2025-07-01T14:03:47.065603","indexId":"fs20253028","displayToPublicDate":"2025-06-05T13:58:21","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":"2025-3028","displayTitle":"Countdown to Apophis Close Approach—Cascading Hazards from Asteroid Impacts","title":"Countdown to Apophis close approach—Cascading hazards from asteroid impacts","docAbstract":"<h1>Introduction</h1><p>Apophis (officially 99942 Apophis, pronounced “uh-PAW-fiss”) is a Near-Earth Object. Primarily composed of the materials that make up the leftover building blocks of the solar system, Near-Earth Objects are small solar system bodies in an orbit around the Sun that brings them close to the Earth. Apophis has been classified as a “potentially hazardous object,” a Near-Earth Object that may be large enough to cause significant damage in the event of an impact. Apophis is not projected to hit the Earth, but it will come close. The U.S. Geological Survey (USGS) is working with other federal partners, industry, academic institutions, and international cooperators to characterize Apophis, prepare for the flyby on Friday, April 13, 2029, and develop investigative and mitigation strategies for potential impacts from other Near-Earth Objects.</p><p>Close approaches of objects the size of Apophis (approximately 340 meters in diameter) or larger are considered rare events, occurring every few thousand years or so. Although Apophis will not impact Earth, the Specific Action Team was convened and included USGS participation, to (1) identify and quantify effects on Apophis from its close flyby with Earth; (2) assess the importance of measuring these effects; (3) categorize these effects according to different tiers of detectable limits; and (4) assess the risk to Earth of a spacecraft rendezvous with Apophis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253028","usgsCitation":"Titus, T., Pigue, L., and Morton, L., 2025, Countdown to Apophis close approach: Cascading hazards from asteroid impacts: U.S. Geological Survey Fact Sheet 2025–3028, 2 p., https://doi.org/10.3133/fs20253028.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-171612","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":489525,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3028/images"},{"id":489522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3028/coverthb.jpg"},{"id":489523,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3028/fs20253028.pdf","text":"Report","size":"8.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3028"},{"id":489524,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3028"},{"id":489526,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3028/fs20253028.XML"}],"contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Tim 0000-0003-0700-4875","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":356299,"corporation":false,"usgs":false,"family":"Titus","given":"Tim","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigue, Lori 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":356300,"corporation":false,"usgs":false,"family":"Pigue","given":"Lori","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Lucienne 0009-0000-4597-0391","orcid":"https://orcid.org/0009-0000-4597-0391","contributorId":356301,"corporation":false,"usgs":false,"family":"Morton","given":"Lucienne","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267837,"text":"sir20255020 - 2025 - Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2025-08-14T19:19:57.880107","indexId":"sir20255020","displayToPublicDate":"2025-06-05T13:12:11","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5020","displayTitle":"Paleomagnetic Correlation of Surface and Subsurface Basalt Flows in the Central and Southwestern Part of the Idaho National Laboratory, Idaho","title":"Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 22 coreholes to construct 3 fence diagrams of subsurface basalt flows in the southern part of the Idaho National Laboratory. These diagrams provide comprehensive descriptions of the horizontal and vertical distribution of basalt flows and sediment layers beneath the surface, aiding geological studies and contributing valuable data to numerical models of groundwater flow and contaminant transport. The correlations established though these diagrams include spatial correlations between basalt flows found in multiple coreholes. Correlations were identified by matching average paleomagnetic inclinations and confirming or denying these correlations using petrology, geochemistry and radiometric ages.</p><p>The fence diagrams aid in identifying potential locations of subsurface vents, volcanic vents that have been buried by more recent volcanic activity, associated to subsurface basalt flows. By tracing the subsurface flows and analyzing where the greatest thickness occurs, the locations of buried vents can be inferred. Some subsurface flows exhibit correlations across several coreholes and may indicate yet unidentified surface or buried vents, thereby enhancing our understanding of the volcanic history and subsurface geology of the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255020","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22263","usgsCitation":"Hodges, M.K.V., Trcka, A.R., and Champion, D.E., 2025, Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2025–5020, 38 p., 1 pl., https://doi.org/10.3133/sir20255020.","productDescription":"Report: vi, 38 p.; 1 Plate: 50.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107892","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":489517,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5020"},{"id":489516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020"},{"id":489515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5020/coverthb.jpg"},{"id":489518,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020_plate1.pdf","text":"Plate 1","size":"476 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020 Plate 1","linkHelpText":"- Subsurface stratigraphic fence diagrams interpreted from paleomagnetic inclination data from coreholes in the southern part of the Idaho National Laboratory, Idaho, pl. 1"},{"id":489519,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTUTU8","text":"USGS data release","description":"USGS data release","linkHelpText":"Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho"},{"id":489520,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5020/images"},{"id":489521,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.XML"},{"id":494133,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118634.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.5,\n              43.75\n            ],\n            [\n              -113.125,\n              43.75\n            ],\n            [\n              -113.125,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting and Framework</li><li>Sampling and Analytical Methods</li><li>Fence Diagram Correlations of Basalt Flows</li><li>Volcanic Vents and Associated Basalt Flows</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodges, Mary 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":172612,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trcka, Allison R. 0000-0001-8498-4737 atrcka@usgs.gov","orcid":"https://orcid.org/0000-0001-8498-4737","contributorId":303227,"corporation":false,"usgs":true,"family":"Trcka","given":"Allison","email":"atrcka@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268656,"text":"70268656 - 2025 - Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii)","interactions":[],"lastModifiedDate":"2025-07-08T17:53:32.582911","indexId":"70268656","displayToPublicDate":"2025-06-05T10:49:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii)","docAbstract":"<p><span>6PPD-quinone (6PPDQ), derived from the tire-protectant 6PPD reacting with ozone, is an emerging contaminant of concern owing to its role in coho salmon (</span><i>Oncorhynchus kisutch</i><span>) deaths via urban runoff mortality syndrome (URMS). Given the impact of 6PPDQ on aquatic life in urban streams, we addressed the acute toxicity of 6PPDQ exposure on coastal cutthroat trout (CCT) (</span><i>Oncorhynchus clarkii clarkii</i><span>), a species sympatric with coho salmon in natal watersheds. Using static exposures coupled with analytical chemistry, we determined the 24-h LC</span><sub>50</sub><span>&nbsp;values for alevin (297.2 ng/L), swim-up fry (39.6 ng/L), 5-month parr (103.3 ng/L), and 13-month juveniles (185.9 ng/L)─values similar to toxicity observed in coho salmon. Additionally, the 96-h LC</span><sub>50</sub><span>&nbsp;(77.6 ng/L) was 2.4 times more lethal for juvenile CCT. We assessed potential effects of sublethal 6PPDQ exposure on disease resistance to infectious hematopoietic necrosis (IHN), an endemic viral disease of Pacific salmon, and to swimming performance. Sublethal 6PPDQ (53.6 ng/L) did not affect survival of parr exposed to IHN virus compared to virus alone. Conversely, 6PPDQ exposure as low as 72.2 ng/L significantly reduced 15- and 24-month juvenile swimming performance, and 120.5 ng/L 6PPDQ increased blood hematocrit. Overall, CCT are the second most sensitive species tested to date for 6PPDQ sensitivity which further emphasizes the need for identifying alternatives to 6PPD.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c03697","usgsCitation":"Shankar, P., Dalsky, E.M., Salzer, J.E., Lane, R.F., Hammond, S., Batts, W.N., Gregg, J.L., Greer, J.B., Kurath, G., Hershberger, P., and Hansen, J.D., 2025, Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii): Environmental Science and Technology, v. 59, no. 23, p. 11505-11514, https://doi.org/10.1021/acs.est.5c03697.","productDescription":"10 p.","startPage":"11505","endPage":"11514","ipdsId":"IP-176697","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":492075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c03697","text":"Publisher Index Page"},{"id":491847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shankar, Prarthana 0000-0001-6918-0597","orcid":"https://orcid.org/0000-0001-6918-0597","contributorId":345080,"corporation":false,"usgs":true,"family":"Shankar","given":"Prarthana","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salzer, Joanne E. 0000-0002-6235-2779","orcid":"https://orcid.org/0000-0002-6235-2779","contributorId":345081,"corporation":false,"usgs":false,"family":"Salzer","given":"Joanne","middleInitial":"E.","affiliations":[{"id":82486,"text":"Formerly USGS, Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":941583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":941584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, Sophie Elizabeth","contributorId":357503,"corporation":false,"usgs":false,"family":"Hammond","given":"Sophie Elizabeth","affiliations":[{"id":85434,"text":"Formerly USGS Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":941585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941587,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941589,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941591,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70270738,"text":"70270738 - 2025 - Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","interactions":[],"lastModifiedDate":"2025-08-22T17:42:46.01131","indexId":"70270738","displayToPublicDate":"2025-06-05T10:26:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","docAbstract":"<p><span>In addition to having cultural, social, and economic significance, large predatory fish affect aquatic communities from the top down and serve as markers of ecosystem health. A focus on large predators is critical for managing ecosystems, conserving species, and guaranteeing the sustainability<a class=\"topic-link\" title=\"Learn more about sustainability from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\"></a>&nbsp;of aquatic resources. Recreational fishing is inherently biased towards large fish, and anglers possess the strength in numbers and geographical dispersion that enable them to sample the upper tiers of size distributions rarely encountered in standard fish surveys. We sought to further understand the ecological requirements and spatial seasonality<a class=\"topic-link\" title=\"Learn more about seasonality from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\"></a>&nbsp;of exceptionally sized black bass (<i>Micropterus </i></span><span>spp.) via angler catches. Black bass&nbsp;</span><u>&gt;</u><span> 3.6 kg were examined across 147 reservoirs in Texas, USA, with 2817 fish recorded by anglers into an online database in 2018–2024. Most fish were caught in late-winter and early-spring in line with spawning activities that included movements in-and-out of shallow water, nest building, and nest defense. Approximately 54 % of fish were caught with bottom-oriented fishing lures and techniques, and 40 % midwater; surface catches were less common. The efficacy of angling techniques varied seasonally. Those effective in winter were midwater, while those effective in summer were bottom or surface. Conversely, a combination of bottom and midwater techniques were effective in the fall and spring, suggesting cyclic habitat transitions. Moreover, the frequency with which fish were caught over various macrohabitats varied seasonally and cyclically. Our findings have the potential to inform habitat management that supports large predators and their migratory relocations. Our findings also underscore the value of using anglers and technology as sources of difficult-to-obtain fish and environmental data that may evade regular monitoring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107423","usgsCitation":"Miranda, L.E., Griffin, F., Neal, J.W., Lang, T.J., Goldstrohm, N., and Mehlmanne, M., 2025, Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.): Fisheries Research, v. 287, 107423, 11 p., https://doi.org/10.1016/j.fishres.2025.107423.","productDescription":"107423, 11 p.","ipdsId":"IP-176324","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"287","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Frank","contributorId":360287,"corporation":false,"usgs":false,"family":"Griffin","given":"Frank","affiliations":[{"id":85992,"text":"University of Arkansas for Medical Sciences","active":true,"usgs":false}],"preferred":false,"id":946933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, J. Wesley","contributorId":360289,"corporation":false,"usgs":false,"family":"Neal","given":"J.","middleInitial":"Wesley","affiliations":[{"id":85993,"text":"Mississippi State","active":true,"usgs":false}],"preferred":false,"id":946934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Thomas J.","contributorId":360290,"corporation":false,"usgs":false,"family":"Lang","given":"Thomas","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":946935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstrohm, Natalie","contributorId":360292,"corporation":false,"usgs":false,"family":"Goldstrohm","given":"Natalie","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":946936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mehlmanne, Michael","contributorId":360293,"corporation":false,"usgs":false,"family":"Mehlmanne","given":"Michael","affiliations":[{"id":85996,"text":"BassForecast","active":true,"usgs":false}],"preferred":false,"id":946937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269049,"text":"70269049 - 2025 - Do Graviquakes exist?","interactions":[],"lastModifiedDate":"2025-09-22T15:24:11.317645","indexId":"70269049","displayToPublicDate":"2025-06-05T10:24:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Do Graviquakes exist?","docAbstract":"<p><span>The “Graviquake” model, proposed in 2015 as an alternative to the elastic dislocation model, posits that normal faults are passive features dominated by coseismic gravitational collapse into a dilated crustal wedge, and that normal faulting is fundamentally distinct from strike‐slip and reverse faulting. Developed using finite‐element modeling before the 2016 central Apennines earthquake sequence, the model was revamped based on interpreted Differential Interferometric Synthetic Aperture Radar data from these events and used as evidence for a gravitational collapse episode. However, this interpretation relies on miscalculated elevation changes and is not corroborated by independent geophysical and seismological observations. Our analysis exposes fundamental flaws in the Graviquake model. By assuming that faults are passive players, it underrepresents the dynamic role of strain accumulation and release in rocks adjacent to faults. The hypothesized rapid expulsion of overpressurized fluids appears inconsistent with observed diffusion rates and lacks supporting seismological evidence. Part of the uplifted–subsided volume imbalance is likely an artifact arising from data processing, and in part is a transient effect due to the delayed response of the lower crust. Moment tensor analyses detect no isotropic components indicative of gravitational collapse, and observed ground motion and stress‐drop levels remain fully consistent with elastic dislocation theory. In addition, finite‐element modeling of normal faulting replicates observed surface deformation without invoking a collapsing wedge. The Graviquake model proposes a representation of normal‐faulting mechanics that differs significantly from established models and observations. Gravity does play a role in normal faulting, but the elastic dislocation theory remains the definitive framework of fault mechanics. Reinterpreting the 2016 earthquakes as a cascade of gravitational episodes, based on incorrect data processing and modeling, fails to substantiate the Graviquake hypothesis. Persistence in advocating this model could mislead seismic hazard assessment and undermine our understanding of normal faulting.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240279","usgsCitation":"Malagnini, L., Dreger D.., Parsons, T.E., Valensise, G., Michelini, A., and De Natale, G., 2025, Do Graviquakes exist?: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2073-2095, https://doi.org/10.1785/0120240279.","productDescription":"23 p.","startPage":"2073","endPage":"2095","ipdsId":"IP-173869","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492248,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240279","text":"Publisher Index Page"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreger D..","contributorId":358033,"corporation":false,"usgs":false,"family":"Dreger D..","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":943099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valensise, G.","contributorId":358034,"corporation":false,"usgs":false,"family":"Valensise","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michelini, A.","contributorId":358035,"corporation":false,"usgs":false,"family":"Michelini","given":"A.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Natale, G.","contributorId":358036,"corporation":false,"usgs":false,"family":"De Natale","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267496,"text":"gip250 - 2025 - \"Snow to Flow\" postcard","interactions":[],"lastModifiedDate":"2025-06-06T13:51:24.350229","indexId":"gip250","displayToPublicDate":"2025-06-05T10:12:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"250","displayTitle":"\"Snow to Flow\" postcard","title":"\"Snow to Flow\" postcard","docAbstract":"The U.S. Geological Survey has ongoing snowpack monitoring initiatives to help improve water availability estimates and predictions of streamflow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip250","usgsCitation":"Creighton, A.L., 2025, “Snow to Flow” postcard: U.S. Geological Survey General Information Product 250, 2 p., https://doi.org/10.3133/gip250.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-176203","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":489839,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/gip250/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"GIP 248"},{"id":489695,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/gip/250/gip250.xml"},{"id":489694,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/gip/250/images"},{"id":486622,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/250/gip250.pdf","text":"Report","size":"400 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 248"},{"id":486621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/250/coverthb2.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Creighton, Andrea L. 0000-0003-3183-5396","orcid":"https://orcid.org/0000-0003-3183-5396","contributorId":268162,"corporation":false,"usgs":true,"family":"Creighton","given":"Andrea","email":"","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938424,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70267954,"text":"70267954 - 2025 - A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","interactions":[],"lastModifiedDate":"2025-06-09T14:55:20.441118","indexId":"70267954","displayToPublicDate":"2025-06-05T09:52:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"A multistate capture-recapture model to estimate reproduction of North Atlantic right whales","docAbstract":"<p><span>The recent steep decline of the endangered North Atlantic right whale&nbsp;</span><i>Eubalaena glacialis</i><span>&nbsp;can be attributed to high mortality combined with low reproduction. While the former is a clear result of anthropogenic activity, the latter involves more complexity. Evidence suggests that both short-term fluctuations in prey availability and long-term decline in health are responsible for depressed right whale calving rates. To facilitate an assessment of extinction risk, we developed a multistate capture-recapture model that estimated the probability of calving using extensive sightings data from 1990-2019. The model estimated sub-lethal effects of severe injury on calving probability and modeled temporal variability in calving as related to indices of prey availability (</span><i>Calanus</i><span>&nbsp;spp. biomass) and an apparent regime shift. The average annual probability of calving for known-breeding females, given average prey conditions, decreased from 0.217 [95% CI: 0.162, 0.281] to 0.142 [95% CI: 0.067, 0.252] after the 2010 regime shift. The model indicated strong evidence of a relationship between calving probability and the prey index from the eastern Gulf of Maine, although this relationship effectively disappeared after 2010; moderate evidence for a relationship with prey from the southwest Gulf of St. Lawrence remained. Weak evidence of reduced calving probability due to severe injury resulted from low sample sizes, given increased mortality for individuals observed with severe injuries. The regime effect is hypothesized to be capturing a long-term decline in health due to a combination of decreasing habitat quality resulting from climate change and potentially chronic sublethal injuries (e.g. entanglements). Our reproduction model provides demographic parameter estimates that can be used in population projections for North Atlantic right whales, although uncertainty remains in the mechanisms responsible for recent declines in calving.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01406","usgsCitation":"Linden, D., Pace, R., Garrison, L.P., Hostetler, J.A., Knowlton, A., Lesage, V., Williams, R., and Runge, M.C., 2025, A multistate capture-recapture model to estimate reproduction of North Atlantic right whales: Endangered Species Research, v. 57, p. 91-102, https://doi.org/10.3354/esr01406.","productDescription":"12 p.","startPage":"91","endPage":"102","ipdsId":"IP-157964","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01406","text":"Publisher Index Page"},{"id":490260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":939767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pace, Richard M III","contributorId":352277,"corporation":false,"usgs":false,"family":"Pace","given":"Richard M","suffix":"III","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":939768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":939769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":939770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":939771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lesage, Veronique","contributorId":352311,"corporation":false,"usgs":false,"family":"Lesage","given":"Veronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":939772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":939773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939774,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267921,"text":"70267921 - 2025 - Global tracking of marine megafauna space use reveals how to achieve conservation targets","interactions":[],"lastModifiedDate":"2025-06-06T16:35:47.740313","indexId":"70267921","displayToPublicDate":"2025-06-05T09:49:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Global tracking of marine megafauna space use reveals how to achieve conservation targets","docAbstract":"<p><span>The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of highly mobile marine megafauna, showing that 63% of the area that they cover is used 80% of the time as important migratory corridors or residence areas. The GBF 30% threshold (Target 3) will be insufficient for marine megafauna’s effective conservation, leaving important areas exposed to major anthropogenic threats. Coupling area protection with mitigation strategies (e.g., fishing regulation, wildlife-traffic separation) will be essential to reach international goals and conserve biodiversity.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.adl0239","usgsCitation":"Sequeira, A.M., Rodriguez, J.P., Marley, S., Calich, H.J., van der Mheen, M., VanCompernolle, M., Arrowsmith, L., Peel, L., Queiroz, N., Vedor, M., da Costa, I., Mucientes, G., Couto, A., Humphries, N., Abalo-Morla, S., Abascal, F., Abercrombie, D., Abrantes, K., Abreu-Grobois, F., Afonso, A., Afonso, P., Ahonen, H., Åkesson, S., Alfaro-Shigueto, J., Andrews, R.D., Angelier, F., Antonopoulou, M., Arata, J., Araujo, G., Arauz, R., Arcos, J.M., Arregui, I., Arrizabalaga, H., Auger-Methe, M., Bach, S., Bailleul, F., Baird, R., Balazs, G., Barco, S., Barnett, A., Baverstock, W., Baylis, A.M., Beard, A., Bécares, J., Belda, E.J., Bell, I., Bennison, A., Benson, S., Bernal, D., Berumen, M., Bessudo, S., Bezerra, N., Blaison, A., Blanco, G., Block, B.A., Bolton, M., Bond, M., Bonfil, R., Braun, C., Broderick, A.C., Brooke, M., Brooks, A., Brooks, E., Bruno, I.M., Burns, J.M., Byrne, M.E., Campana, S., Campbell, H., Campbell, R., Carlisle, A., Carmichael, R.H., Carroll, G., Casale, P., Ceia, F.R., Chapman, D., Chapple, T., Charrassin, J., Chiaradia, A., Chisholm, J., Clarke, C., Clay, T., Cleguer, C., Clingham, E., Clua, E., Cochran, J., Constantine, R., Cooper, R., Crochelet, E., Cronin, M., Cuevas, E., DaCosta, K., Dagorn, L., Daly, R., Davis, R.W., de Bruyn, N., Delgado-Trejo, C., Dellinger, T., Derville, S., Diamant, S., DiMatteo, A., Dodge, K., Doherty, P.D., Double, M., Dove, A., Doyle, T., Drew, M., Dubbs, L., Duffy, C., Dutton, P., Edwards, E., Einoder, L., Erdmann, M., Espinoza, E., Esteban, N., Fagundes, A.I., Feare, C., Ferguson, S.H., Ferreira, L.C., Ferretti, F., Filmalter, J., Finucci, B., Fischer, G., Fitzpatrick, R., Fontes, J., Formia, A., Fossette, S., Francis, M., Friedlaender, A., Furtado, M., Gallagher, A.J., Garrigue, C., Gennari, E., Gilchrist, H.G., Godley, B.J., Goldsworthy, S.D., Gollock, M., González Carman, V., Grecian, W.J., Green, J., Guinet, C., Gustafson, J., Guttridge, T., Guzman, H., Hamer, D., Hamer, K.C., Hammerschlag, N., Hammill, M., Harman, L., Harrison, E., Hart, C., Harris, A., Hastie, G., Hazin, F., Heard, M., Hearn, A., Heide-Jorgensen, M.P., Henry, L., Henry, R.W., Hernandez, V., Herrera, A., Hindell, M.A., Holdsworth, J., Holmes, B., Howey, L., Hoyos Padilla, E., Huckstadt, L., Hueter, R., Lara, P., Hussey, N.E., Huveneers, C., Hyland, K., Irion, D., Jacoby, D., Jaeger, A., Jaidah, M., Jessopp, M., Jewell, O., Johnson, R., Jones, C.G., Jonsen, I., Jordan, L., Jorgensen, S., Kato, A., Ketchum, J., Kitaysky, A., Klimley, A.P., Kock, A., Koen, P., Ladino Archila, F., Lana, F., Lane, J., Le Corre, M., Lea, M., Leat, E., Lee, O., Levenson, J., Ley-Quiñonez, C., Llewellyn, F., Lockhart, G., Lopez, G., Lopez Mendilaharsu, M., Lowther, A., Luschi, P., Lutcavage, M., Lyon, W., Macena, B., Mackay, A., Madden Hof, C., Mallory, M.L., Mangel, J.C., Manning, M., Mansfield, K., March, D., Marco, A., Marcoux, M., Acuña-Marrero, D., Marsh, H., Marshall, H., Mate, B., McAllister, J., McGuire, R.L., McKenzie, J., McLeay, L., McMahon, C., Modest, M., Morris, J.T., Muelbert, M., Namboothri, N., Nichols, W.J., Nicoll, M.A., Norman, B., Norris, K., Olsen, E., Oppel, S., Orlowski, S., Pagano, A.M., Page, B., Paiva, V.H., Palacios, D., Papastamatiou, Y., Parker, D., Pattiaratchi, C.B., Peckham, H., Peñaherrera-Palma, C., Pepperell, J., Phillips, R.A., Pierce, S., Pikesley, S., Pilcher, N.J., Pinet, P., Pinkerton, M., Pirotta, E., Plot, V., Powell, A., Powers, K., Prebble, C., Preston, T., Prieto, R., Prosdocimi, L., Quinn, J.L., Quintero, L., Raclot, T., Ramirez, I., Ramírez-Macías, D., Ramos, J.A., Read, A., Ream, R., Rees, A., Reina, R.D., Reisinger, R., Revuelta, O., Reynolds, S., Richardson, A.J., Riekkola, L., Riet-Sapriza, F., Robinson, D., Robinson, P.W., Rocha, C., Rogers, T., Rohner, C., Ropert-Coudert, Y., Ross, M., Rowat, D., Ruhomaun, K., Sagar, P., Samoilys, M., Sanchez, S., Sandoval-Lugo, A., dos Santos, E., Santos, A., Scales, K., Schofield, G., Semmens, J., Setyawan, E., Shaffer, S.A., Shanker, K., Sheaves, M., Shillinger, G., Shivji, M., Sianipar, A., Silk, J., Silva, M., Sim, J., Simpson, S., Skomal, G.B., Slip, D., Smale, M., Soler, G., Soria, M., Sousa, L., Southall, E., Stahl, J., Stehfest, K., Sterling, J., Stevens, J., Stevens, G., Stewart, J., Swaminathan, A., Takahashi, A., Tatayah, V., Thiebot, J., Thompson, P.M., Thorrold, S., Thums, M., Tomas, J., Torres, L., Towner, A., Trathan, P., Tyminski, J., van Buiten, R., van Dam, R.P., Vandeperre, F., Varo-Cruz, N., Vaudo, J., Vely, M., Villegas-Amtmann, S., Vincent, C., Waayers, D., Wanless, S., Watanabe, Y., Watt, C., Weber, S., Weber, N., Weise, M.J., Welch, L., Wells, R.S., Werry, J., Wetherbee, B., White, T., Whiting, S., Whiting, A., Wiebkin, A., Wienecke, B., Wildermann, N.E., Wiley, D., Will, A., Williams, S., Windstein, M., Wischnewski, S., Witt, M.J., Womersley, F., Wood, A., Wright, L., Xavier, J., Yamamoto, T., Yurkowski, D.J., Zarate, P., Zavala-Norzagaray, A., Zerbini, A., Costa, D.P., Harcourt, R., Meekan, M.G., Hays, G.C., Sims, D.W., Duarte, C.M., and Eguíluz, V., 2025, Global tracking of marine megafauna space use reveals how to achieve conservation targets: Science, v. 388, no. 6751, p. 1086-1097, https://doi.org/10.1126/science.adl0239.","productDescription":"12 p.","startPage":"1086","endPage":"1097","ipdsId":"IP-144077","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":490668,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://admin.research-repository.uwa.edu.au/en/publications/651e3bbd-fc33-43ad-a5de-a68785f4e949","text":"External 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,{"id":70267918,"text":"70267918 - 2025 - Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity","interactions":[],"lastModifiedDate":"2025-06-06T14:48:10.315709","indexId":"70267918","displayToPublicDate":"2025-06-05T09:42:16","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":"Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity","docAbstract":"<p><span>Intertidal microbial biofilms, or microphytobenthos, support estuarine biogeochemical cycling, the physical stability of mudflats, and food webs, particularly those of migratory shorebirds. Photosynthetic biofilms dominated by diatoms, cyanobacteria, and chlorophytes represent a significant fraction of biofilm biomass and contain pigments that can be detected with remote sensing. These diverse biofilm community types vary in indicator pigments and functional traits related to biogeochemical cycling and nutritional quality. We modeled and mapped spatial variation in intertidal biofilm distribution, quantity, diversity, and functional traits using multi-scale spectroscopic data collected within southern San Francisco Bay, California, USA (South SFB). We developed a new biofilm index (B-index) from 5&nbsp;mm HySpex spectra to detect biofilm presence. We developed single and multiple response partial least squares regression (PLS) models of chlorophyll</span><i>-a</i><span>&nbsp;(chl</span><i>-a</i><span>; biomass indicator), indicator pigments: fucoxanthin and diadinoxanthin (diatoms), zeaxanthin (cyanobacteria), and chl</span><i>-b</i><span>&nbsp;(chlorophytes), and functional traits: carbohydrates, lipids, and total organic carbon from paired in situ biofilm data and field spectra. The B-index and PLS models were scaled to South SFB with a 3.7&nbsp;m AVIRIS-NG hyperspectral image. The model %RMSE calculated from AVIRIS-NG test samples ranged from 12.7% for chl</span><i>-a</i><span>&nbsp;to 49% for chl</span><i>-b</i><span>; for six of the eight models, %RMSE was 23% or below. Mapped community types differed in mapped traits, with average lipid concentrations three times higher in areas indicated as diatoms compared to other groups. Available maps depict for the first time the spatial variation of an important shorebird food resource and inform the contribution of intertidal biofilm in carbon and nutrient cycling.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008520","usgsCitation":"Byrd, K.B., Palacios, S., Taylor, N.C., Woo, I., Moskal, S.M., Kokaly, R.F., Hoefen, T.M., Chapman, J., and De La Cruz, S.E., 2025, Multi-scale spectroscopy to map intertidal microbial biofilm community and trait diversity: JGR Biogeosciences, v. 130, no. 6, e2024JG008520, 23 p., https://doi.org/10.1029/2024JG008520.","productDescription":"e2024JG008520, 23 p.","ipdsId":"IP-171397","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":490197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.29763416548646,\n              37.65\n            ],\n            [\n              -122.29763416548646,\n              37.415152793804396\n            ],\n            [\n              -121.93300968918774,\n              37.415152793804396\n            ],\n            [\n              -121.93300968918774,\n              37.65\n            ],\n            [\n              -122.29763416548646,\n              37.65\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palacios, Sherry L.","contributorId":356406,"corporation":false,"usgs":false,"family":"Palacios","given":"Sherry L.","affiliations":[{"id":81898,"text":"CSU Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":939329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Nicole Chin 0000-0002-8094-2246","orcid":"https://orcid.org/0000-0002-8094-2246","contributorId":302295,"corporation":false,"usgs":true,"family":"Taylor","given":"Nicole","email":"","middleInitial":"Chin","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moskal, Stacy M. 0000-0001-7627-5316","orcid":"https://orcid.org/0000-0001-7627-5316","contributorId":342631,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":939333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":939334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapman, John","contributorId":352622,"corporation":false,"usgs":false,"family":"Chapman","given":"John","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":939335,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939336,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70268836,"text":"70268836 - 2025 - Novel adomaviruses associated with blotchy bass syndrome in black basses (Micropterus spp.)","interactions":[{"subject":{"id":70268836,"text":"70268836 - 2025 - Novel adomaviruses associated with blotchy bass syndrome in black basses (Micropterus spp.)","indexId":"70268836","publicationYear":"2025","noYear":false,"title":"Novel adomaviruses associated with blotchy bass syndrome in black basses (Micropterus spp.)"},"predicate":"SUPERSEDED_BY","object":{"id":70273464,"text":"70273464 - 2026 - Novel adomaviruses associated with blotchy bass syndrome in black basses (<i>Micropterus spp.</i>)","indexId":"70273464","publicationYear":"2026","noYear":false,"title":"Novel adomaviruses associated with blotchy bass syndrome in black basses (<i>Micropterus spp.</i>)"},"id":1}],"supersededBy":{"id":70273464,"text":"70273464 - 2026 - Novel adomaviruses associated with blotchy bass syndrome in black basses (<i>Micropterus spp.</i>)","indexId":"70273464","publicationYear":"2026","noYear":false,"title":"Novel adomaviruses associated with blotchy bass syndrome in black basses (<i>Micropterus spp.</i>)"},"lastModifiedDate":"2026-01-26T16:23:39.390188","indexId":"70268836","displayToPublicDate":"2025-06-05T09:40:21","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Novel adomaviruses associated with blotchy bass syndrome in black basses (Micropterus spp.)","docAbstract":"<p><span>Black bass (</span><i>Micropterus spp.</i><span>) are the most important warmwater game fishes in the United States. They have high socioeconomic and recreational value and support an important aquaculture industry. Since 2008, fisheries managers have been reporting the observation of hyperpigmented melanistic lesions (HPMLs) on smallmouth bass (</span><i>M. dolomieu</i><span>) in different ecoregions of the United States. Similar HPMLs have been observed in largemouth bass (</span><i>M. nigricans</i><span>) since the 1980’s. Here, we report a close association between novel adomaviruses and the hallmark blotchy clinical presentation of hyperpigmented lesions on the skin smallmouth and largemouth black bass and provide evidence that satisfies Rivers’ postulates. The two adomaviruses are structurally and phylogenetically similar but share only 68.0% identity at aligned nucleotide sites and each has been found in only one host species to date. The manifestation of this skin disease appears to be seasonal in both species, primarily affects adults and is of unknown health consequence. Although the significance of infection to fish health remains unclear, understanding the disease ecology of these can inform biosecurity and the interjurisdictional movement of individuals. Moreover, as hyperpigmentation in other fish species is often idiopathic, our findings reframe perspectives for future investigations into this clinical presentation in other species.</span></p>","largerWorkTitle":"BioRXiv","language":"English","doi":"10.1101/2025.06.01.657292","usgsCitation":"Iwanowicz, L.R., Raines, C.D., Young, K., Blazer, V., Walsh, H.L., Smith, G., Holt, C., Odenkirk, J., Jones, T., Hessenauer, J., Biggs, M., Buck, C.B., Greer, J.B., and Cornman, R.S., 2025, Novel adomaviruses associated with blotchy bass syndrome in black basses (Micropterus spp.): BioRxiv, https://doi.org/10.1101/2025.06.01.657292.","productDescription":"53 p.","ipdsId":"IP-177992","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491795,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492048,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.06.01.657292","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":339852,"corporation":false,"usgs":false,"family":"Iwanowicz","given":"Luke","middleInitial":"R.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":942284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":942285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Kelsey E.","contributorId":335011,"corporation":false,"usgs":false,"family":"Young","given":"Kelsey E.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":942286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":942287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":942288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Geoff","contributorId":349691,"corporation":false,"usgs":false,"family":"Smith","given":"Geoff","affiliations":[{"id":56913,"text":"PA Fish & Boat Commission","active":true,"usgs":false}],"preferred":false,"id":942289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holt, Cynthia","contributorId":357715,"corporation":false,"usgs":false,"family":"Holt","given":"Cynthia","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":942290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Odenkirk, John","contributorId":219514,"corporation":false,"usgs":false,"family":"Odenkirk","given":"John","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":942291,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Tom","contributorId":288322,"corporation":false,"usgs":false,"family":"Jones","given":"Tom","email":"","affiliations":[{"id":61728,"text":"Vermont Fish & Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":942292,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hessenauer, Jan-Michael","contributorId":257795,"corporation":false,"usgs":false,"family":"Hessenauer","given":"Jan-Michael","email":"","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":942293,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Biggs, Morgan Alexandra 0000-0002-5360-8613","orcid":"https://orcid.org/0000-0002-5360-8613","contributorId":345155,"corporation":false,"usgs":true,"family":"Biggs","given":"Morgan Alexandra","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":942294,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Buck, Christopher B.","contributorId":354298,"corporation":false,"usgs":false,"family":"Buck","given":"Christopher","middleInitial":"B.","affiliations":[{"id":84615,"text":"Lab of Cellular Oncology, National Cancer Institute, National Institutes of Health","active":true,"usgs":false}],"preferred":false,"id":942295,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":942296,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942297,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70268894,"text":"70268894 - 2025 - Population dynamics of White Sturgeon in the upper Snake River, Idaho: Evaluation of management options for a harvest fishery","interactions":[],"lastModifiedDate":"2025-08-18T15:14:04.882222","indexId":"70268894","displayToPublicDate":"2025-06-05T09:36:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of White Sturgeon in the upper Snake River, Idaho: Evaluation of management options for a harvest fishery","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Understanding how fish populations will respond to management actions is critical for making effective management ­decisions. This study provides important information regarding population demographics for a nonnative, hatchery-implemented population of White Sturgeon<span>&nbsp;</span><i>Acipenser transmontanus</i>. We investigated the population dynamics of White Sturgeon in the upper Snake River, Idaho, and developed an age-structured population model to evaluate potential stocking and harvest scenarios (e.g., length limits and annual quotas).</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">White Sturgeon were sampled from June to October 2022 and from June to August 2023 using angling (i.e., rod and reel) and setlines from a 260-km-long section of the Snake River. Capture histories from 261 known-age White Sturgeon informed age and growth analysis and an evaluation of movement trends. A closed-population capture–recapture model and an estimate of setline-specific catchability were used to estimate the total abundance of White Sturgeon in the upper Snake River. Apparent survival for the population was estimated using a Cormack–Jolly–Seber model. Finally, a population model was parameterized using information on the population dynamics of White Sturgeon in the upper Snake River. The model was used to estimate the effects of varying stocking rates and harvest scenarios (i.e., harvest slot of 76–122 cm fork length [FL] and annual quotas of 0–25 White Sturgeon harvested) on the population.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">In total, 340 individual White Sturgeon were captured throughout the study area, with 181 recapture events. Individuals varied in FL from 54 to 205 cm, and the mean relative weight for captures was 105.2 (SD = 14.4), suggesting relatively high body condition. Age varied from 2 to 25 years, and White Sturgeon moved an average of 8.1 km (SD = 23.5) downstream from stocking locations. Estimated abundance of White Sturgeon in the tailwaters of American Falls Dam was 428 fish (95% CI = 403–463). That abundance estimate was used to inform a total abundance estimate of 887 White Sturgeon (95% CI = 835–960) in the study area. Apparent annual survival was 0.79 (95% CI = 0.64–0.89). A stocking rate of 285 age-2 White Sturgeon/year was necessary to maintain current abundance. For every five fish harvested (harvest slot = 76–122 cm FL) per year, estimated abundance decreased by about 2.2% over 20 years.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Our research identified fast growth of White Sturgeon relative to other populations and relatively high mortality for a White Sturgeon population without exploitation. Also, like other studies evaluating harvest, a population model was used to illustrate the effect of varying rate functions on a fishery. The age-structured population model suggested that a harvest fishery is possible while still meeting management goals for the upper Snake River White Sturgeon fishery.</p></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf025","collaboration":"Idaho Department of Fish and Game","usgsCitation":"Maude, D., Bowersox, B.J., Corsi, M., Kennedy, P., High, B., Peterson, M., Watkins, C.J., and Quist, M.C., 2025, Population dynamics of White Sturgeon in the upper Snake River, Idaho: Evaluation of management options for a harvest fishery: North American Journal of Fisheries Management, v. 45, no. 4, p. 540-556, https://doi.org/10.1093/najfmt/vqaf025.","productDescription":"17 p.","startPage":"540","endPage":"556","ipdsId":"IP-166433","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492013,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Snake River","volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Maude, Donavan","contributorId":357760,"corporation":false,"usgs":false,"family":"Maude","given":"Donavan","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":942528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":942529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Matthew P.","contributorId":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":942530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patrick","contributorId":202687,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patrick","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":942531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"High, Brett","contributorId":274499,"corporation":false,"usgs":false,"family":"High","given":"Brett","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":942532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Mike","contributorId":357761,"corporation":false,"usgs":false,"family":"Peterson","given":"Mike","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":942533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":942612,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942534,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70270673,"text":"70270673 - 2025 - O Romeo! Environmental DNA could prevent a tragedy for the elusive Chucky Madtom (Noturus crypticus)","interactions":[],"lastModifiedDate":"2025-08-22T14:26:20.9016","indexId":"70270673","displayToPublicDate":"2025-06-05T09:16:15","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-169-2025","displayTitle":"O Romeo! Environmental DNA could prevent a tragedy for the elusive Chucky Madtom (<i>Noturus crypticus</i>)","title":"O Romeo! Environmental DNA could prevent a tragedy for the elusive Chucky Madtom (Noturus crypticus)","docAbstract":"<p><span>Using environmental DNA (eDNA) surveillance methods, we report the first evidence of the persistence of the Chucky Madtom (<i>Noturus crypticus</i>) in Little Chucky Creek, Tennessee, which has been absent from conventional surveys since 2004, and in Dunn Creek, Tennessee, where it was last collected in 1940. This highlights the utility of eDNA for detecting cryptic, rare fish species that may persist at extremely low population densities when conventional surveys fail, as well as its effectiveness as a contemporary tool to guide targeted conventional sampling efforts; however, it is not intended to replace the ‘in hand’ detection of the species.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css69379551","usgsCitation":"Paine, R.T., Swain-Menzel, H., Rosenberger, A.E., and Velasquez, A., 2025, O Romeo! Environmental DNA could prevent a tragedy for the elusive Chucky Madtom (Noturus crypticus): Cooperator Science Series CSS-169-2025, ii, 25 p., https://doi.org/10.3996/css69379551.","productDescription":"ii, 25 p.","ipdsId":"IP-177206","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Dunn Creek, Little Chucky Creek, Yellow Breeched Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.25,\n              36.1667\n            ],\n            [\n              -83.25,\n              35.65\n            ],\n            [\n              -82.7,\n              35.65\n            ],\n            [\n              -82.7,\n              36.1667\n            ],\n            [\n              -83.25,\n              36.1667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Paine, Robert T.","contributorId":172099,"corporation":false,"usgs":false,"family":"Paine","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":26981,"text":"Dep't of Biology, U of Washington","active":true,"usgs":false}],"preferred":false,"id":946807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain-Menzel, Hannah","contributorId":360115,"corporation":false,"usgs":false,"family":"Swain-Menzel","given":"Hannah","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":946808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velasquez, Auburn","contributorId":360406,"corporation":false,"usgs":false,"family":"Velasquez","given":"Auburn","affiliations":[],"preferred":false,"id":947015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270757,"text":"70270757 - 2025 - Relationships between larval fish drift, time of day and discharge in an Ozark stream","interactions":[],"lastModifiedDate":"2025-08-22T15:08:31.928094","indexId":"70270757","displayToPublicDate":"2025-06-05T08:00:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between larval fish drift, time of day and discharge in an Ozark stream","docAbstract":"<p><span>We examined the relationship between larval fish numbers and discharge during a high flow event in Bear Creek, Arkansas, a small Ozark stream. Additionally, we examined the relationship between fish numbers and time of day, and the spatial distribution of families and size classes. A total of 3,083 fish from five families were collected. Leuciscidae was the dominant family collected, followed by Percidae, and Catostomidae. Larval fish in Bear Creek were not susceptible to increased discharge from the flood event, as all three families exhibited strong significant negative relationships to discharge at night when discharge began to decline. Larval fish in Bear Creek drifted significantly more at night than during the day, with the exception of large percids, which exhibited no diel pattern. Leuciscidae and small Percidae showed a spatial pattern of distribution across the stream at night, with higher drift densities in near shore nets. The results from our study indicate that fish drift in Bear Creek was an active process, with most larval fish drifting in response to decreased light intensity. We suggest future studies consider the effects of flood intensity on larval fish drift relative to diel periodicity.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2025.2503366","collaboration":"National Park Service","usgsCitation":"Magoulick, D.D., and Graham, C.L., 2025, Relationships between larval fish drift, time of day and discharge in an Ozark stream: Journal of Freshwater Ecology, v. 40, no. 1, 2503366, 13 p., https://doi.org/10.1080/02705060.2025.2503366.","productDescription":"2503366, 13 p.","ipdsId":"IP-175362","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2025.2503366","text":"Publisher Index Page"},{"id":494520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Bear Creek, northwestern Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.58624413028403,\n              36.509156092742955\n            ],\n            [\n              -94.58624413028403,\n              34.92752982412499\n            ],\n            [\n              -92.28745981781466,\n              34.92752982412499\n            ],\n            [\n              -92.28745981781466,\n              36.509156092742955\n            ],\n            [\n              -94.58624413028403,\n              36.509156092742955\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Christy L.","contributorId":360381,"corporation":false,"usgs":false,"family":"Graham","given":"Christy","middleInitial":"L.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":947004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266864,"text":"sir20255006 - 2025 - Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","interactions":[],"lastModifiedDate":"2025-08-14T19:15:25.073305","indexId":"sir20255006","displayToPublicDate":"2025-06-05T07:42:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5006","displayTitle":"Hydrogeology and Groundwater Quality in the Snake River Alluvial Aquifer at Jackson Hole Airport, Wyoming, 2011–20","title":"Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","docAbstract":"<p>The Snake River alluvial aquifer underlying the Jackson Hole Airport (JHA) in northwest Wyoming is an important source of water used for domestic, commercial, and irrigation purposes by the airport and nearby residents. The U.S. Geological Survey, in response to previously identified water-quality concerns in the area, monitored and evaluated changes in hydrogeologic characteristics and groundwater-quality conditions of the alluvial aquifer during 2011–20. During that period, the Jackson Hole Airport made several changes that potentially improved water quality at and downgradient from the airport. Well, water level, and hydrogeologic data were collected from the alluvial aquifer to identify hydrogeologic characteristic and groundwater quality changes. Additionally, results of statistical tests were applied to water-quality results to evaluate trends in selected physical properties and constituent concentrations with time. The trends of those data show that water quality did improve overall during the study period compared to previously collected data. Presumably, these trends are in response to the changes in the aircraft deicing/anti-icing fluid (ADAF) formulation used by the JHA, the many JHA infrastructure improvements made during 2011–20, the degradation of existing ADAFs in subsurface soils and groundwater, or some combination of these possibilities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255006","collaboration":"Prepared in cooperation with the Jackson Hole Airport Board","usgsCitation":"Wright, P.R., and Bartos, T.T., 2025, Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20: U.S. Geological Survey Scientific Investigations Report 2025–5006, 80 p., https://doi.org/10.3133/sir20255006.","productDescription":"Report: x, 80 p.; Appendix; Dataset","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143344","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":494131,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118633.htm","linkFileType":{"id":5,"text":"html"}},{"id":485857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5006/coverthb.jpg"},{"id":485898,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255006/full"},{"id":485897,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.XML"},{"id":485863,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":485860,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5006/images/"},{"id":485859,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2025/5006/downloads/","text":"Appendix 1—Tables 1.1 to 1.10"},{"id":485858,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5006"}],"country":"United States","state":"Wyoming","otherGeospatial":"Jackson Hole Airport","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.9167,\n              43.667\n            ],\n            [\n              -110.9167,\n              43.4167\n            ],\n            [\n              -110.667,\n              43.4167\n            ],\n            [\n              -110.667,\n              43.667\n            ],\n            [\n              -110.9167,\n              43.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Design</li><li>Methods of Data Collection and Analysis</li><li>Hydrogeology Results and Discussion</li><li>Water-Quality Results and Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental Data Tables</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Peter R. 0000-0003-0305-4541 prwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0305-4541","contributorId":239858,"corporation":false,"usgs":true,"family":"Wright","given":"Peter","email":"prwright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":936993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272052,"text":"70272052 - 2025 - Component identification of solid biomass fuels using reflected light microscopy: Interlaboratory study 2","interactions":[],"lastModifiedDate":"2025-11-14T16:00:04.13464","indexId":"70272052","displayToPublicDate":"2025-06-04T09:35:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Component identification of solid biomass fuels using reflected light microscopy: Interlaboratory study 2","docAbstract":"<div id=\"sp0100\" class=\"u-margin-s-bottom\">As nations transition toward sustainable<span>&nbsp;</span>energy systems<span>, biomass has become a vital component of global energy portfolios. Derived from organic materials such as wood, agricultural residues,&nbsp;forestry&nbsp;byproducts, and organic waste, biomass is a&nbsp;renewable energy source&nbsp;with significant environmental and economic benefits. Responsible&nbsp;biomass energy production&nbsp;can improve&nbsp;waste management, reduce emissions of greenhouse gases, and mitigate&nbsp;environmental pollution. However, as the diversity of biomass-derived fuels increases, robust quality assessment methods are essential to ensure their efficiency, safety, and minimal environmental impact.</span></div><div id=\"sp0105\" class=\"u-margin-s-bottom\">Reflected<span>&nbsp;</span>light microscopy<span>&nbsp;(RLM) is one such technique with the potential to complement conventional physico-chemical analyses by enabling a rapid identification of material constituents and impurities. To refine this methodology and evaluate the reproducibility of solid biomass component identification using RLM, an interlaboratory study (ILS) was conducted. The study involved the recognition of 58 components across 45&nbsp;photomicrographs, with the participation of 65 scientists and students from 25 countries.</span></div><div id=\"sp0110\" class=\"u-margin-s-bottom\">The participants faced high difficulty identifying some of the marked components, and as a result, the percentage of correct answers ranged from 19.0&nbsp;% to 98.3&nbsp;%, with an average correct identification rate of 62.7&nbsp;%. The most challenging aspects of the identification process included distinguishing between woody and non-woody (agro) biomass, accurately identifying petroleum-derived materials, and differentiating agro biomass from<span>&nbsp;</span>inorganic matter.</div><div id=\"sp0115\" class=\"u-margin-s-bottom\">The results suggest that while RLM is an important tool for characterizing solid biomass, further development of methodology guidelines and training are necessary to enhance its effectiveness. Future research should prioritize preparing detailed, image-rich, microscopic morphological descriptions of<span>&nbsp;</span>biomass fuel<span>&nbsp;components, which could improve the accuracy and reliability of using RLM in&nbsp;biomass fuel&nbsp;characterization.</span></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2025.104814","usgsCitation":"Drobniak, A., Mastalerz, M., Jelonek, Z., Jelonek, I., Acda, M., Adsul, T., Andolšek, N.M., Animali, L., Ardakani, O., Ataide, T., Batbold, D., Bhat, M.Y., Congo, T., Donohoe, B.S., Ehinola, O., Flores, D., Fonseca, C., Ghosh, S., Gonçalves, P., Hackley, P.C., Hower, J., Jargal, L., Johnston, M.N., Kalaitzidis, S., Kędzior, S., Knowles, W., Kumar, S., Kus, J., Lis, G., Lis, K., Liu, B., Liu, B., Luo, Q., Du, M., Mencarelli, A., Mishra, D., Misz-Kennan, M., Mitillo, N., Muzyka, R., Nedzweckas, J., O'Keefe, J.M., Omodeo-Salé, S., Oyunjargal, L., Park, J., Patria, A.A., Pearson, R., Petersen, H.I., Predeanu, G., Ranjin, G., Reyes, J., Ribeiro, J., de la Rosa Rodríguez, G., Rudra, A., Sajdak, M., Sanders, M.M., Siavalas, G., Sosnowski, P., Varma, A.K., Wojtaszek-Kalaitzidi, M., Wolszczak, M., Xu, Z., Zdravkov, A., Zhao, L., Zielińska, M., and Ziemianin, K., 2025, Component identification of solid biomass fuels using reflected light microscopy: Interlaboratory study 2: International Journal of Coal Geology, v. 307, 104814, 17 p., https://doi.org/10.1016/j.coal.2025.104814.","productDescription":"104814, 17 p.","ipdsId":"IP-176822","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"307","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drobniak, Agnieszka","contributorId":292655,"corporation":false,"usgs":false,"family":"Drobniak","given":"Agnieszka","email":"","affiliations":[{"id":62959,"text":"IU and Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":949858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":292654,"corporation":false,"usgs":false,"family":"Mastalerz","given":"Maria","affiliations":[{"id":62959,"text":"IU and Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":949859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelonek, Zbigniew","contributorId":330813,"corporation":false,"usgs":false,"family":"Jelonek","given":"Zbigniew","email":"","affiliations":[{"id":79027,"text":"Centre for Biomass Energy Research and Education, University of Silesia in Katowice, ul. 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,{"id":70267917,"text":"70267917 - 2025 - Trends in richness and occupancy of Ugandan birds and relation to local tree cover","interactions":[],"lastModifiedDate":"2025-06-06T14:37:59.275323","indexId":"70267917","displayToPublicDate":"2025-06-04T09:28:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":670,"text":"African Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in richness and occupancy of Ugandan birds and relation to local tree cover","docAbstract":"<p><span>Changes in vegetation cover are occurring across sub-Saharan Africa and can have substantial effects on ecological communities, but limited data make understanding status and trends difficult for many taxa. We surveyed birds for several decades across Uganda using point counts. Using time-to-detection analysis in a trait-informed Bayesian multi-species occupancy framework, we model bird species richness as a function of year and local tree cover across 28 sites. We test for trends in richness and occupancy, and for the relationship between these and local and landscape-scale tree cover. Species richness increased at 75% of sites through the study period, and generalist bird species were most likely to be increasing in occupancy. Forest specialist bird species, and to a lesser extent generalists, responded positively to tree cover. Woody cover is changing across Uganda, with declines most pronounced in areas with the highest tree cover. This is likely to be causing declines in forest specialist species while favouring generalists. When tree cover decline is caused by conversion to croplands, rather than transitions to grasslands, grassland specialists are unlikely to benefit. Effects of climate and land use change and population pressure are likely to continue to alter woody plant cover and thus affect East African bird communities.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/aje.70058","usgsCitation":"Burner, R.C., Adams, E.M., Pomeroy, D., Tushabe, H., Kibuule, M., Rostad, L., Venter, Z., and Sheil, D., 2025, Trends in richness and occupancy of Ugandan birds and relation to local tree cover: African Journal of Ecology, v. 63, no. 4, e70058, 21 p., https://doi.org/10.1111/aje.70058.","productDescription":"e70058, 21 p.","ipdsId":"IP-175842","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":490660,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/aje.70058","text":"Publisher Index Page"},{"id":490399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SPBYBF","text":"USGS data release","linkHelpText":"Uganda bird trends"},{"id":490194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uganda","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.86617,-1.02736],[30.76986,-1.01455],[30.4191,-1.13466],[29.82152,-1.44332],[29.57947,-1.34131],[29.58784,-0.58741],[29.8195,-0.2053],[29.87578,0.59738],[30.08615,1.06231],[30.46851,1.58381],[30.85267,1.8494],[31.17415,2.20447],[30.77332,2.33989],[30.83385,3.50917],[31.24556,3.7819],[31.88145,3.55827],[32.68642,3.79232],[33.39,3.79],[34.005,4.24988],[34.47913,3.5556],[34.59607,3.05374],[35.03599,1.90584],[34.6721,1.17694],[34.18,0.515],[33.89357,0.10981],[33.90371,-0.95],[31.86617,-1.02736]]]},\"properties\":{\"name\":\"Uganda\"}}]}","volume":"63","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":939320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":939321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, Derek","contributorId":356400,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Derek","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tushabe, Herbert","contributorId":356401,"corporation":false,"usgs":false,"family":"Tushabe","given":"Herbert","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kibuule, Micheal","contributorId":356402,"corporation":false,"usgs":false,"family":"Kibuule","given":"Micheal","affiliations":[{"id":84995,"text":"NatureUganda","active":true,"usgs":false}],"preferred":false,"id":939324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Lars Jørgen","contributorId":356403,"corporation":false,"usgs":false,"family":"Rostad","given":"Lars Jørgen","affiliations":[{"id":84996,"text":"Norconsult AS","active":true,"usgs":false}],"preferred":false,"id":939325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venter, Zander S.","contributorId":356404,"corporation":false,"usgs":false,"family":"Venter","given":"Zander S.","affiliations":[{"id":84997,"text":"wegian Institute for Nature Research - NINA","active":true,"usgs":false}],"preferred":false,"id":939326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheil, Douglas","contributorId":356405,"corporation":false,"usgs":false,"family":"Sheil","given":"Douglas","affiliations":[{"id":84998,"text":"Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":939327,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267972,"text":"70267972 - 2025 - Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","interactions":[],"lastModifiedDate":"2025-07-10T14:52:39.543071","indexId":"70267972","displayToPublicDate":"2025-06-04T09:28:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","docAbstract":"<p><span>The establishment of a reservoir species for zoonotic diseases is concerning for both animal and human health. Severe acute respiratory syndrome coronavirus (SARS-CoV)-2, the coronavirus responsible for the COVID-19 pandemic, has been detected in white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in the United States. Since its initial detection, various studies have documented circulation and evolution of SARS-CoV-2 in deer, with human cases suspected of spill-back from infectious deer. A priority for mitigating SARS-CoV-2 outbreaks in deer populations is determining the contribution of direct (via aerosols and physical contact) and indirect (via contaminated objects and media) transmission pathways. We expanded existing epidemiological models founded on direct transmission pathways to include three indirect transmission pathways of infection for simulated deer populations, including contaminated water, food waste, and feed piles. Despite lower infection probabilities and transmission hazards (measured by force-of-infection (FOI)) posed solely by these indirect pathways compared to direct transmission pathways, the addition of indirect transmission pathways increased FOI, which had ramifications for the severity of SARS-CoV-2 outbreaks in simulated deer populations, particularly in populations with low degrees of spread between deer (measured by basic reproductive number;&nbsp;</span><i>R</i><sub>0</sub><span>). We used contact rate models to estimate SARS-CoV-2 spread across deer range in the United States and identified widespread potential for indirect transmission to increase the severity of outbreaks in low-density deer populations. These results indicate that indirect transmission pathways need to be considered in the management of white-tailed deer as a reservoir species for SARS-CoV-2.</span></p>","language":"English","publisher":"Wiley","doi":"10.1155/tbed/1352911","usgsCitation":"Rosenblatt, E., Cook, J.D., DiRenzo, G.V., Campbell Grant, E.H., Runge, M.C., and Mosher, B., 2025, Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations: Transboundary and Emerging Diseases, v. 2025, 352911, 13 p., https://doi.org/10.1155/tbed/1352911.","productDescription":"352911, 13 p.","ipdsId":"IP-166277","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490309,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490627,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/tbed/1352911","text":"Publisher Index Page"},{"id":491310,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P19KKRVV","text":"USGS data release","linkHelpText":"Code for Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer Odocoileus virginianus populations"}],"volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenblatt, Elias","contributorId":276324,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":939832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":939833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mosher, Brittany 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":216035,"corporation":false,"usgs":true,"family":"Mosher","given":"Brittany","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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