{"pageNumber":"66","pageRowStart":"1625","pageSize":"25","recordCount":165841,"records":[{"id":70269477,"text":"70269477 - 2025 - Bright spots for advancing ecological understanding and conservation decision-making","interactions":[],"lastModifiedDate":"2025-12-01T16:23:56.503019","indexId":"70269477","displayToPublicDate":"2025-07-23T09:32:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Bright spots for advancing ecological understanding and conservation decision-making","docAbstract":"<p><span>A lot can be learned by studying bright spots—defined as unexpected positive outcomes. In fields like public health, education, and oncology, identifying factors behind bright spots reveals previously unknown drivers of success that can be replicated elsewhere. This concept is being applied in conservation but is hampered by variations in definitions of&nbsp;</span><i>bright spots</i><span>&nbsp;and confusion with hotspots—sites with high absolute values of a metric. We developed a framework to clearly define and distinguish between hotspots (e.g., a wetland with high plant diversity) and bright spots (e.g., a biodiverse wetland in a housing development), which outperform conservation expectations. The framework is an iterative cycle, consisting of setting expectations for relative comparisons, classifying systems into bright, dark, hot, and cold categories, and digging deeper to reveal hidden mechanisms and opportunities for intervention. We drew on examples from diverse fields to demonstrate how our framework can generate new knowledge, identify potential interventions, and inform management priorities. Defining conservation and management expectations, often through predictive models, is essential to understanding drivers of success and fosters hypotheses about overlooked factors. Our framework can enhance ecological understanding, guide interventions, and help prioritize actions in conservation and natural resource management.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70109","usgsCitation":"Embke, H., Feiner, Z.S., Hansen, G., Isermann, D.A., Jensen, O., Rounds, C., Smith, Q., and Vander Zanden, M., 2025, Bright spots for advancing ecological understanding and conservation decision-making: Conservation Biology, v. 39, no. 6, e70109, 13 p., https://doi.org/10.1111/cobi.70109.","productDescription":"e70109, 13 p.","ipdsId":"IP-164862","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493307,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.70109","text":"Publisher Index Page"},{"id":492829,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":943845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":342575,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":943848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Olaf  P.","contributorId":348884,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf  P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":943849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rounds, Christopher I.","contributorId":349471,"corporation":false,"usgs":false,"family":"Rounds","given":"Christopher I.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":943850,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Quinn","contributorId":358490,"corporation":false,"usgs":false,"family":"Smith","given":"Quinn","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":943851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Zanden, M. Jake","contributorId":348495,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"M. Jake","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":943852,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274060,"text":"70274060 - 2025 - Animal trajectory imputation and uncertainty quantification via deep learning","interactions":[],"lastModifiedDate":"2026-02-20T15:32:42.068338","indexId":"70274060","displayToPublicDate":"2025-07-23T09:28:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Animal trajectory imputation and uncertainty quantification via deep learning","docAbstract":"<p><span>Imputing missing data in animal trajectories is crucial for understanding animal movements during unobserved periods. However, the traditional methods, such as linear interpolation and the continuous-time correlated random walk model, are often inadequate to capture the complexity of animal movements. Here, we develop a deep learning approach to animal trajectory imputation by a conditional diffusion model. Unlike the traditional methods, our deep learning method uses observed data and external covariates to impute missing positions along an animal trajectory, capturing periodic patterns and the influence of covariates, which leads to more accurate imputations. In a case study of imputing deer trajectories, our method not only provides more accurate deterministic imputations than existing approaches but also achieves uncertainty quantification through probabilistic imputation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.70027","usgsCitation":"Yao, K., McGahan, I.P., Zhu, J., Storm, D.J., Walsh, D.P., 2025, Animal trajectory imputation and uncertainty quantification via deep learning: Environmetrics, v. 36, no. 6, e70027, 15 p., https://doi.org/10.1002/env.70027.","productDescription":"e70027, 15 p.","ipdsId":"IP-172985","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/env.70027","text":"Publisher Index Page"},{"id":500342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Yao, Kehui","contributorId":339161,"corporation":false,"usgs":false,"family":"Yao","given":"Kehui","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":956327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGahan, Ian P.","contributorId":366857,"corporation":false,"usgs":false,"family":"McGahan","given":"Ian","middleInitial":"P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":956328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Jun","contributorId":354695,"corporation":false,"usgs":false,"family":"Zhu","given":"Jun","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":956329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storm, Daniel J.","contributorId":366860,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956331,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269483,"text":"70269483 - 2025 - Public support for puma reintroduction in the eastern United States","interactions":[],"lastModifiedDate":"2025-08-19T15:30:07.710575","indexId":"70269483","displayToPublicDate":"2025-07-23T09:17:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Public support for puma reintroduction in the eastern United States","docAbstract":"<p><span>Pumas (</span><i>Puma concolor</i><span>) are among the species identified as having the potential to enhance ecosystem function. Previous research highlights sufficient ecological habitat to support pumas in the eastern United States; however, their reintroduction requires social and institutional support as well. To this end, we conducted research to assess attitudes about puma reintroduction among key constituencies like hunters, rural residents, and young people. We sampled 2756 respondents across seven states (Massachusetts, Maine, New Hampshire, New York, Pennsylvania, Vermont, and West Virginia). Ratios of strong support (for puma reintroduction) to strong opposition across states ranged from 4:1 to 13:1, and support outweighed opposition in every state. Our results contrasted with common assumptions that hunters, rural residents, and people who identify as politically conservative oppose carnivore conservation and reintroduction. We found marginal differences among categories of people, but overall little variation in support exhibited by different groups. People who identified very strongly as hunters were more supportive of reintroduction than those who did not identify as hunters at all. Taken together, the presence of quality habitat and support for puma restoration warrant further exploration. However, federal funding for state-based restoration efforts likely requires the inclusion of pumas in State Wildlife Action Plans (SWAPs), which are currently under a 10-year revision due to be published this year (2025).</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70105","usgsCitation":"Elbroch, L.M., Murphy, J., Carlson, S., Vucetich, J.A., Berl, R.E., Galiardi, L., Perry, S., Butler, T., Carter, N., Hinton, J.W., Moehrenschlager, A., Carrollo, E.M., Bayrakcismith, R., and Bruskotter, J.T., 2025, Public support for puma reintroduction in the eastern United States: Conservation Science and Practice, v. 7, no. 8, e70105, 12 p., https://doi.org/10.1111/csp2.70105.","productDescription":"e70105, 12 p.","ipdsId":"IP-167680","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493306,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70105","text":"Publisher Index Page"},{"id":492827,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Massachusetts, New Hampshire, New York, Pennsylvania, Vermont, West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.59628,41.471905],[-70.450431,41.420703],[-70.496162,41.346452],[-70.802083,41.314207],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-69.960277,41.278731],[-70.256164,41.288123],[-70.092142,41.297741]]],[[[-71.502487,45.013367],[-71.443882,45.235462],[-70.898482,45.244088],[-70.684614,45.395071],[-70.688214,45.563981],[-70.259117,45.890755],[-70.290896,46.185838],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.066715,47.43024],[-69.0402,47.2451],[-68.893204,47.182974],[-68.292679,47.359476],[-67.790515,47.067921],[-67.803148,45.696127],[-67.476704,45.604157],[-67.489464,45.282653],[-67.390579,45.154114],[-67.145652,45.146667],[-66.986318,44.820657],[-68.049334,44.33073],[-68.22939,44.463496],[-68.191924,44.306675],[-68.339498,44.222893],[-68.3791,44.430049],[-68.529905,44.39907],[-68.528153,44.241263],[-68.982449,44.426195],[-69.031878,44.079036],[-69.259838,43.921427],[-69.851297,43.703581],[-70.026193,43.822587],[-70.176023,43.76079],[-70.810999,42.892375],[-70.772267,42.711064],[-70.595474,42.660336],[-70.996097,42.271222],[-70.754488,42.228673],[-70.471552,41.761563],[-70.008462,41.800786],[-70.169781,42.059736],[-70.082624,42.054657],[-69.935952,41.809422],[-69.976478,41.603664],[-70.329924,41.634578],[-70.902763,41.421061],[-70.658659,41.543385],[-70.623652,41.707398],[-71.12057,41.497448],[-71.458104,42.017762],[-73.432812,42.050587],[-73.482709,41.21276],[-73.727775,41.100696],[-73.782577,40.837601],[-72.635374,40.990536],[-72.245348,41.161217],[-72.273657,41.051533],[-72.116368,40.999796],[-71.869558,41.075046],[-73.145266,40.645491],[-73.934512,40.545175],[-74.013784,40.756601],[-73.896479,40.981697],[-74.694914,41.357423],[-75.135526,40.973807],[-75.188579,40.624628],[-74.733804,40.174509],[-75.140006,39.888465],[-75.799563,39.721882],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.761217,39.263721],[-78.032841,39.264403],[-78.347087,39.466012],[-78.436658,39.141691],[-78.865905,38.767034],[-78.993997,38.850102],[-79.26291,38.444586],[-79.649075,38.591515],[-80.314806,37.500943],[-80.475601,37.422949],[-81.67821,37.201483],[-82.487556,37.916975],[-82.598189,38.357885],[-82.205171,38.591719],[-82.091565,38.973778],[-81.819692,38.947016],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.652436,40.562544],[-80.52566,40.636068],[-80.519345,41.929168],[-78.868556,42.770258],[-79.061388,43.251349],[-78.370221,43.376505],[-76.952174,43.270692],[-76.235834,43.529256],[-76.133697,43.940356],[-76.360306,44.070907],[-76.312647,44.199044],[-74.946686,44.984665],[-71.502487,45.013367]]],[[[-74.144428,40.53516],[-74.219787,40.502603],[-74.120186,40.642201],[-74.144428,40.53516]]]]},\"properties\":{\"name\":\"Massachusetts\",\"nation\":\"USA  \"}}]}","volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elbroch, L. 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,{"id":70269402,"text":"cir1553 - 2025 - The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","interactions":[],"lastModifiedDate":"2026-02-03T14:31:31.794807","indexId":"cir1553","displayToPublicDate":"2025-07-23T09:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1553","displayTitle":"The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","title":"The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program","docAbstract":"<p>The three-dimensional (3D) National Topography Model initiative to integrate elevation and hydrography data includes the next generation of hydrography data from the 3D Hydrography Program and the next generation of elevation data from the 3D Elevation Program (3DEP). The first-ever collection of light detection and ranging (lidar) data for the nation (IfSAR for Alaska) provides a critical baseline reference, and the addition of multiple repeat elevation mapping projects as part of the next generation of 3DEP would substantially expand analysis capabilities. As the U.S. Geological Survey (USGS) is closing in on our goal of complete coverage with 3DEP data available or in progress for 98.3 percent of the Nation at the end of fiscal year 2024, the USGS is already transitioning to the next generation of 3DEP.</p><p>Based on the 3D Nation Study results and input from a broad range of stakeholders, the USGS National Geospatial Program has finalized a new design for 3DEP that provides increased lidar quality levels and refresh rates. The new program is designed with more flexibility to meet changing user needs and take advantage of improvements in mapping technologies. The program will aim to expand the level of interagency coordination for topobathymetric lidar acquisition for inland rivers. The next generation of 3DEP will also aim to emphasize research, including advancing program design, products, and services and engaging and leveraging the evolving 3D industry. Research goals also include becoming more flexible in meeting user needs and taking advantage of evolving remote-sensing technologies. The program also plans to move from focusing on producing standard products to producing a concept of a 3D Nation Ecosystem with a variety of inputs, products, and services.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1553","programNote":"National Geospatial Program","usgsCitation":"Lukas, V., Sugarbaker, L., Thatcher, C., Jason, A., and Stoker, J., 2025, The 3D National Topography Model Call for Action—Part 2: The Next Generation 3D Elevation Program (version 1.1, July 28, 2025): U.S. Geological Survey\nCircular 1553, 18 p., https://doi.org/10.3133/cir1553.","productDescription":"Report: vii, 18 p.; 2 Project Sites","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166629","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":492741,"rank":7,"type":{"id":18,"text":"Project 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511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Next-Generation 3D Elevation Program</li><li>Governance—An Evolving Model</li><li>Next-Generation 3DEP—The Path Ahead</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-07-23","revisedDate":"2025-07-28","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Lukas, Vicki 0000-0002-3151-6689 vlukas@usgs.gov","orcid":"https://orcid.org/0000-0002-3151-6689","contributorId":2890,"corporation":false,"usgs":true,"family":"Lukas","given":"Vicki","email":"vlukas@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":943671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sugarbaker, Larry","contributorId":358408,"corporation":false,"usgs":false,"family":"Sugarbaker","given":"Larry","affiliations":[{"id":85620,"text":"Dewberry","active":true,"usgs":false}],"preferred":false,"id":943672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":218872,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":943675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jason, Allyson L. 0000-0001-5590-3766 ajason@usgs.gov","orcid":"https://orcid.org/0000-0001-5590-3766","contributorId":224300,"corporation":false,"usgs":true,"family":"Jason","given":"Allyson","email":"ajason@usgs.gov","middleInitial":"L.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":943673,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":943674,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269972,"text":"70269972 - 2025 - Ecological acclimation: A framework to integrate fast and slow responses to climate change","interactions":[],"lastModifiedDate":"2025-08-07T14:10:13.028333","indexId":"70269972","displayToPublicDate":"2025-07-23T09:07:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological acclimation: A framework to integrate fast and slow responses to climate change","docAbstract":"<ol class=\"\"><li>Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines.</li><li>We develop ‘ecological acclimation’ as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The framework focuses on ecoclimate sensitivities, measured as the change in an ecological response variable per unit of climate change. Acclimation processes acting at different time-scales cause these sensitivities to shift in magnitude and even direction over time.</li><li>We highlight shifting ecoclimate sensitivities in case studies from diverse ecosystems, including terrestrial plant communities, coral reefs and soil microbiomes.</li><li>Models predicting future ecosystem states inevitably make assumptions about acclimation processes; these assumptions must be explicit for users to evaluate whether a model is appropriate for a given forecast horizon. Similarly, decision frameworks that clearly account for multiple acclimation processes and their distinct time-scales will help natural resource managers plan for ecological impacts of climate change from years to many decades into the future.</li><li>We outline a synthetic research programme focused on the time-scales of ecological acclimation to reduce uncertainty in ecological forecasts.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70079","usgsCitation":"Stemkovski, M., Bernhardt, J., Wong Blonder, B., Bradford, J.B., Clark-Wolf, K., Dee, L.E., Evans, M., Iglesias, V., Johnson, L., Lynch, A.J., Malone, S., Osborne, B., Pastore, M., Paterson, M., Pinsky, M., Rollinson, C.R., Selmoni, O., Venkiteswarnan, J., Walker, A.P., Ward, N.K., Williams, J.B., Zarakas, C., and Adler, P., 2025, Ecological acclimation: A framework to integrate fast and slow responses to climate change: Functional Ecology, v. 39, no. 8, p. 1923-1939, https://doi.org/10.1111/1365-2435.70079.","productDescription":"17 p.","startPage":"1923","endPage":"1939","ipdsId":"IP-166855","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":493795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70079","text":"Publisher Index Page"},{"id":493703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Stemkovski, Michael","contributorId":303009,"corporation":false,"usgs":false,"family":"Stemkovski","given":"Michael","email":"","affiliations":[{"id":65599,"text":"Utah State University, Biology Dept.","active":true,"usgs":false}],"preferred":false,"id":945084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Joey","contributorId":359252,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Joey","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":945085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong Blonder, Benjamin","contributorId":359253,"corporation":false,"usgs":false,"family":"Wong Blonder","given":"Benjamin","affiliations":[{"id":33770,"text":"University of California at Berkeley","active":true,"usgs":false}],"preferred":false,"id":945086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science 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Arizona","active":true,"usgs":false}],"preferred":false,"id":945090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iglesias, Virginia","contributorId":261651,"corporation":false,"usgs":false,"family":"Iglesias","given":"Virginia","email":"","affiliations":[],"preferred":false,"id":945091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Loretta","contributorId":359258,"corporation":false,"usgs":false,"family":"Johnson","given":"Loretta","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":945092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science 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Science","active":true,"usgs":false}],"preferred":false,"id":945100,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Venkiteswarnan, Jason","contributorId":359268,"corporation":false,"usgs":false,"family":"Venkiteswarnan","given":"Jason","affiliations":[{"id":41188,"text":"Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":945101,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walker, Anthony P. 0000-0003-0557-5594","orcid":"https://orcid.org/0000-0003-0557-5594","contributorId":167843,"corporation":false,"usgs":false,"family":"Walker","given":"Anthony","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":945102,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ward, Nicole K.","contributorId":297294,"corporation":false,"usgs":false,"family":"Ward","given":"Nicole","email":"","middleInitial":"K.","affiliations":[{"id":64354,"text":"Virginia Tech, Department of Biological Sciences & Forest Resources & Environmental Conservation, Blacksburg, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":945103,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, John B.","contributorId":173055,"corporation":false,"usgs":false,"family":"Williams","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":945104,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Zarakas, Claire","contributorId":359273,"corporation":false,"usgs":false,"family":"Zarakas","given":"Claire","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":945105,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Adler, Peter B.","contributorId":338091,"corporation":false,"usgs":false,"family":"Adler","given":"Peter B.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":945106,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70271991,"text":"70271991 - 2025 - Pathology, tissue distribution, and phylogenomic characterization of largemouth bass virus isolated from a wild smallmouth bass <i>(Micropterus dolomieu)</i>","interactions":[],"lastModifiedDate":"2025-09-30T16:04:17.981979","indexId":"70271991","displayToPublicDate":"2025-07-23T08:54:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Pathology, tissue distribution, and phylogenomic characterization of largemouth bass virus isolated from a wild smallmouth bass <i>(Micropterus dolomieu)</i>","docAbstract":"<p><span>We performed a diagnostic disease investigation on a wild smallmouth bass (</span><i><span class=\"html-italic\">Micropterus dolomieu</span></i><span>) with skin ulcers that was collected from Lake Oahe, South Dakota, following reports from anglers of multiple fish with similar lesions. Gross and histologic lesions of ulcerative dermatitis, myositis, and lymphocytolysis within the spleen and kidneys were consistent with largemouth bass virus (LMBV) infection. LMBV was detected by conventional PCR in samples of a skin ulcer, and the complete genome sequence of the LMBV (99,184 bp) was determined from a virus isolate obtained from a homogenized skin sample. A maximum likelihood (ML) phylogenetic analysis based on the major capsid protein (MCP) gene alignment supported the LMBV isolate (LMBV-SD-2023) as a member of the species&nbsp;</span><i><span class=\"html-italic\">Ranavirus micropterus1</span></i><span>, branching within the subclade of LMBV isolates recovered from North American largemouth (</span><i><span class=\"html-italic\">Micropterus salmoides</span></i><span>) and smallmouth bass. This is the first detection of LMBV in wild smallmouth bass from South Dakota. The ultrastructure of the LMBV isolate exhibited the expected icosahedral shape of virions budding from cellular membranes. Viral nucleic acid in infected cells was visualized via in situ hybridization (ISH) within dermal granulomas, localized predominantly at the margin of epithelioid macrophages and central necrosis. Further sampling is needed to determine the geographic distribution, affected populations, and evolutionary relationship between isolates of LMBV.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/v17081031","usgsCitation":"Haake, C.J., Waltzek, T.B., Eckstrand, C.D., Hickey, N., Reno, J.L., Wolking, R.M., Sriwanayos, P., Lovy, J., Renner, E.A., Taylor, K.R., and Oliveira, R., 2025, Pathology, tissue distribution, and phylogenomic characterization of largemouth bass virus isolated from a wild smallmouth bass <i>(Micropterus dolomieu)</i>: Viruses, v. 17, no. 8, 1031, 14 p., https://doi.org/10.3390/v17081031.","productDescription":"1031, 14 p.","ipdsId":"IP-180025","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":496335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17081031","text":"Publisher Index Page"},{"id":496272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lake Oahe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100.65536316236422,\n              44.52194507492791\n            ],\n            [\n              -100.65536316236422,\n              44.4268744718523\n            ],\n            [\n              -100.38226682719576,\n              44.4268744718523\n            ],\n            [\n              -100.38226682719576,\n              44.52194507492791\n            ],\n            [\n              -100.65536316236422,\n              44.52194507492791\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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D.","contributorId":361905,"corporation":false,"usgs":false,"family":"Eckstrand","given":"Chrissy","middleInitial":"D.","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickey, Nora","contributorId":361906,"corporation":false,"usgs":false,"family":"Hickey","given":"Nora","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reno, Joetta Lynn","contributorId":361907,"corporation":false,"usgs":false,"family":"Reno","given":"Joetta","middleInitial":"Lynn","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolking, Rebecca M.","contributorId":361908,"corporation":false,"usgs":false,"family":"Wolking","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sriwanayos, Preeyanan","contributorId":361909,"corporation":false,"usgs":false,"family":"Sriwanayos","given":"Preeyanan","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949621,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":949622,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Renner, Elizabeth A.","contributorId":341434,"corporation":false,"usgs":false,"family":"Renner","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":949623,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Kyle R.","contributorId":361910,"corporation":false,"usgs":false,"family":"Taylor","given":"Kyle","middleInitial":"R.","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949624,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oliveira, Ryan","contributorId":361911,"corporation":false,"usgs":false,"family":"Oliveira","given":"Ryan","affiliations":[{"id":86379,"text":"Washington State University, College of Veterinary Medicine, Pullman, Washington","active":true,"usgs":false}],"preferred":false,"id":949625,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70271411,"text":"70271411 - 2025 - Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","interactions":[],"lastModifiedDate":"2025-09-12T15:52:35.004585","indexId":"70271411","displayToPublicDate":"2025-07-23T08:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22351,"text":"Rangeland Ecology and Mangement","active":true,"publicationSubtype":{"id":10}},"title":"Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation","docAbstract":"<p><span>Protection of intact habitat from the spread of invasive plants is a global priority, especially where invaders alter wildfire occurrence. Invasion of perennial sagebrush-steppe ecosystems by cheatgrass and other fire-promoting exotic annual grasses (EAGs) is one of the most notorious examples of this problem. Protection and expansion of the remaining intact “core” sagebrush areas are key management goals, and whether this can be accomplished by temporarily inhibiting annual plant populations with pre-emergent herbicides is a key question. We applied indaziflam in fall 2019 to replicate plots within two sagebrush-steppe sites in the Northern Great Basin, USA: 1) a relatively intact, uninvaded, unburned “core” site and 2) a partially invaded site that burned in the 2015 Soda Wildfire. Vegetation cover, density, and growth responses of native perennials were measured annually to 2024. We asked whether our treatments “defended” and “grew” core sagebrush areas. EAG cover remained &lt;15% in indaziflam-treated plots while increasing to &gt;30% in control plots by the fifth year after treatment at the unburned site but did not differ with treatment at the burned site. Native perennial grasses, forbs, and big sagebrush cover and growth did not differ with indaziflam treatment at either site. Moss cover was temporarily lower in indaziflam-treated plots at the unburned site, and cover of a native annual forb was significantly lower in indaziflam-treated plots throughout the study across both sites. Despite posttreatment drought and apparent patchiness in treatment implementation, our treatments “defended the core” by preventing crossing of the 20% EAG invasion threshold in the unburned site but not did not “grow the core.” Our results provide an example of a case in which proactive protection may be easier to accomplish than reactive restoration. Herbicide treatment effects may be sensitive to weather and application details. Implementation monitoring could help explain variability and improve success.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2025.06.006","usgsCitation":"Lazarus, B., and Germino, M., 2025, Risks and rewards of pre-emergent herbicide (indaziflam) to defend core sagebrush-steppe ecosystems under suboptimal precipitation: Rangeland Ecology and Mangement, v. 102, p. 153-159, https://doi.org/10.1016/j.rama.2025.06.006.","productDescription":"7 p.","startPage":"153","endPage":"159","ipdsId":"IP-174916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":495450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"southwest Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.0281637645661,\n              45.32440983273477\n            ],\n            [\n              -117.0281637645661,\n              42.024317484614414\n            ],\n            [\n              -115.45605431551574,\n              42.024317484614414\n            ],\n            [\n              -115.45605431551574,\n              45.32440983273477\n            ],\n            [\n              -117.0281637645661,\n              45.32440983273477\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"102","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":218016,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269690,"text":"70269690 - 2025 - Daily fluctuating flows affect riparian plant species distributions from local to regional scales","interactions":[],"lastModifiedDate":"2025-07-30T15:16:37.98138","indexId":"70269690","displayToPublicDate":"2025-07-23T08:07:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Daily fluctuating flows affect riparian plant species distributions from local to regional scales","docAbstract":"<p>Aims</p><p>The number of hydropower dams has grown globally over recent decades, with significant impacts on downstream riparian plant communities. Many of these dams generate daily fluctuating flows known as hydropeaking to meet sub-daily variation in energy demands. Hydropeaking can significantly impact riparian plant communities, with obligate riparian species tending to experience the greatest negative effects on habitat suitability. Whether this pattern holds in arid biomes where daily soil moisture enhancements could benefit some plants is an open question.</p><p>Location</p><p>Colorado River, Grand Canyon, Western USA.</p><p>Methods</p><p><span>We used occurrence records to model species responses to variation in daily flow fluctuations across 32 689 river segments in the Western United States. We then applied estimates of hydropeaking responses derived from those models to understanding the abundance and fine scale hydrologic niches of riparian plant species in the Colorado River ecosystem downstream of Glen Canyon Dam, which has experienced vegetation expansion attributed to river regulation, including hydropeaking that began in 1964.</span></p><p>Results</p><p>At the regional scale, species with greater wetland dependence exhibited increasingly negative responses to hydropeaking across 1 496 species, consistent with previous studies at smaller scales. At the local scale of the Colorado River, we found that species inhabiting near-channel habitat characterized by daily inundation and exposure had positive modeled responses to hydropeaking, consistent with a long history of selection for species tolerant of hydropeaking. In contrast, species inhabiting the zone immediately above peak daily river stage had negative modeled responses to hydropeaking, suggesting that they are being excluded from otherwise suitable habitat nearer the channel. </p><p>Conclusions</p><p>These results demonstrate that hydropeaking can impact species distributions from local to regional scales by excluding obligate wetland species and reducing habitat suitability for some facultative wetland species. These results from an arid river system are consistent with those reported from other biomes.</p>","language":"English","publisher":"Wiley","doi":"10.1111/avsc.70033","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2025, Daily fluctuating flows affect riparian plant species distributions from local to regional scales: Applied Vegetation Science, v. 28, no. 3, e70033, 14 p., https://doi.org/10.1111/avsc.70033.","productDescription":"e70033, 14 p.","ipdsId":"IP-173588","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam to Lake Mead","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.69796878470245,\n              37.294312973717396\n            ],\n            [\n              -114.69796878470245,\n              36.01181577939015\n            ],\n            [\n              -111.34429886929873,\n              36.01181577939015\n            ],\n            [\n              -111.34429886929873,\n              37.294312973717396\n            ],\n            [\n              -114.69796878470245,\n              37.294312973717396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":944450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70276513,"text":"70276513 - 2025 - Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates","interactions":[],"lastModifiedDate":"2026-06-09T18:06:45.240529","indexId":"70276513","displayToPublicDate":"2025-07-23T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16139,"text":"Ecological Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Anthropogenically-driven sedimentation changes have had adverse environmental impacts on aquatic environments, including reductions in fish spawning habitats in embayments worldwide. This study was motivated by the need to understand the impacts of waves and current-driven sedimentation patterns on traditional spawning areas and their effect on sustainable fish reproduction in the Great Lakes. Coupled hydrodynamic, wave, and sediment transport models were developed within the Delft3D-SWAN (DS) framework to predict sedimentation patterns in two embayments in Lake Ontario, Sodus Bay and Chaumont Bay, that have been historically important fish spawning habitats. These bays, with distinct geomorphic characteristics and connectivity to Lake Ontario, offer an opportunity to examine how wind-generated waves and currents impact bed shear stress and subsequent sedimentation patterns. Areas experiencing greater wave-induced bed shear stress were identified and compared between the two bays. Simulated sediment transport patterns showed notable erosion near the lake-bay connections and increased deposition in the inner areas of both embayments. Observed Cisco embryo deposition corresponded to regions of high sheer stress and lower sedimentation, indicating physical attributes in those areas that are important for embryo survival. These results show where sediment settling and erosion occur in the two bays and highlight potential impacts on traditional spawning areas.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111274","usgsCitation":"Kheiri, A., Atkinson, J.F., Zhenduo, Z., Le Tarte, L., and Weidel, B., 2025, Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates: Ecological Modeling, v. 509, 111274, 14 p., https://doi.org/10.1016/j.ecolmodel.2025.111274.","productDescription":"111274, 14 p.","ipdsId":"IP-174659","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":505256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Chaumont Bay, Lake Ontario, Sodus Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.2687658,\n              43.8243263\n            ],\n            [\n              -76.1520635,\n              43.8243263\n            ],\n            [\n              -76.1520635,\n              43.2018608\n            ],\n            [\n              -77.2687658,\n              43.2018608\n            ],\n            [\n              -77.2687658,\n              43.8243263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"509","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kheiri, Ali","contributorId":371887,"corporation":false,"usgs":false,"family":"Kheiri","given":"Ali","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Joseph F.","contributorId":371888,"corporation":false,"usgs":false,"family":"Atkinson","given":"Joseph","middleInitial":"F.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhenduo, Zhu","contributorId":371889,"corporation":false,"usgs":false,"family":"Zhenduo","given":"Zhu","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le Tarte, Lucas Alexander 0009-0003-6253-2352","orcid":"https://orcid.org/0009-0003-6253-2352","contributorId":353224,"corporation":false,"usgs":true,"family":"Le Tarte","given":"Lucas Alexander","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273373,"text":"70273373 - 2025 - From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","interactions":[],"lastModifiedDate":"2026-01-09T17:41:12.353802","indexId":"70273373","displayToPublicDate":"2025-07-22T11:32:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23128,"text":"ACS Environmental Au","active":true,"publicationSubtype":{"id":10}},"title":"From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","docAbstract":"<p><span>Municipal wastewater is a known point source of organic contaminants, including pharmaceuticals and neonicotinoid insecticides. Emergent aquatic insects can provide a direct aquatic-to-terrestrial contaminant transfer route to the food web, with implications for terrestrial food web dispersal of wastewater-derived organic contaminants. We quantified 17 target pharmaceuticals and insecticides (log&nbsp;</span><i>K</i><sub>ow</sub><span>: −1.43 to 4.75) in surface water, fish, aquatic insects, and web-building riparian spiders at a wastewater effluent-dominated stream in eastern Iowa, USA. Two neonicotinoids, imidacloprid and clothianidin, had spider tissue concentrations of 8.9–84 ng/g and 1.2–11 ng/g, respectively. The imidacloprid/clothianidin ratios in spider tissues were reflective of the concentration ratios in the effluent-dominated streamwater and opposite of nearby agriculturally dominated waters. In contrast, no pharmaceuticals were detectable in the riparian spiders; however, only pharmaceuticals were present in both fish and aquatic insects (1.1–11 ng/g and 5.9–51 ng/g, respectively). Neonicotinoids are not predicted to enter aquatic food webs based on their log&nbsp;</span><i>K</i><sub>ow</sub><span>&nbsp;and bioconcentration factor values; therefore, an implication of this study is to warrant caution when using traditional bioaccumulation models for polar hydrophilic contaminants. This work provides further evidence that neonicotinoids undergo trophic transfer and represents the initial measurements, implicating such a transfer from effluent-dominated streams into terrestrial food webs. While this study emphasizes field-relevant observations, it is limited by environmental variability, including uncertainties in the biomass of emergent insects that likely contribute to spider diets. Future research could investigate contaminant metabolites within individual organisms or use complementary techniques to better understand the underlying mechanisms.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsenvironau.5c00021","usgsCitation":"Mianecki, A.L., Behrens, J.R., Kolpin, D., Hemphill, G.R., Kapoor, K., and LeFevre, G.H., 2025, From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders: ACS Environmental Au, v. 5, no. 5, p. 457-467, https://doi.org/10.1021/acsenvironau.5c00021.","productDescription":"11 p.","startPage":"457","endPage":"467","ipdsId":"IP-164873","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsenvironau.5c00021","text":"Publisher Index Page"},{"id":498518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Muddy Creek","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mianecki, A. L.","contributorId":364924,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, J. R.","contributorId":358445,"corporation":false,"usgs":false,"family":"Behrens","given":"J.","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":953491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemphill, G. R.","contributorId":364926,"corporation":false,"usgs":false,"family":"Hemphill","given":"G.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapoor, K.","contributorId":364928,"corporation":false,"usgs":false,"family":"Kapoor","given":"K.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, G. H.","contributorId":364930,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275130,"text":"70275130 - 2025 - Prevalence and potential for biological effects of several chemicals of interest in Lake Superior tributaries","interactions":[],"lastModifiedDate":"2026-04-16T16:07:22.686668","indexId":"70275130","displayToPublicDate":"2025-07-22T11:01:23","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}},"title":"Prevalence and potential for biological effects of several chemicals of interest in Lake Superior tributaries","docAbstract":"<p><span>Lake Superior&nbsp;is typically assumed to have excellent water quality, but its tributaries have been understudied for contaminants relative to other Great Lakes. This study monitored&nbsp;polycyclic aromatic hydrocarbons&nbsp;(PAHs), alkylphenols (AP) and alkylphenol ethoxylates (APEs), bisphenols, and&nbsp;neonicotinoid pesticides&nbsp;in 18 sites on 17 United States tributaries to Lake Superior in 2022. Contaminants were analyzed from 54&nbsp;surface water&nbsp;and 17 stream bed sediment samples. PAHs were the most prevalent contaminant class. Among 17 PAHs in 17 samples (289 instances), 71</span><span>&nbsp;</span><span>% were positive detections. Surface water samples were not analyzed for PAHs. Next, among 4 APs and APEs analyzed, 35</span><span>&nbsp;</span><span>% of sediment sample instances and 21</span><span>&nbsp;</span><span>% of instances in 54 water samples were positive detections. Bisphenol analogues were detected in 2</span><span>&nbsp;</span><span>% of sediment sample instances and 4</span><span>&nbsp;</span><span>% of water sample instances. Bisphenol A (BPA) was not quantified due to field blank contamination, but bisphenol AF (BPAF), bisphenol E (BPE), bisphenol F (BPF), and bisphenol S (BPS) were detected in environmental samples. Neonicotinoids were detected in 0.5</span><span>&nbsp;</span><span>% of sediment sample instances and 0.4% of water samples instances. Low detection frequencies for contaminants precluded analyses with watershed land use characteristics, but four sites (Tischer Creek, Miller Creek,&nbsp;Carp&nbsp;River and Iron River) emerged as locations with relatively elevated contaminant concentrations. Comparison of concentrations with ToxCast and other water quality guidelines suggested potential for biological effects from some samples. This study provides a baseline of low contaminant prevalence in Lake Superior tributaries while identifying a few locations that may warrant further monitoring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102608","usgsCitation":"LaFond-Hudson, S., Pronschinske, M.A., Elliott, S.M., and Corsi, S., 2025, Prevalence and potential for biological effects of several chemicals of interest in Lake Superior tributaries: Journal of Great Lakes Research, v. 51, no. 4, 102608, 12 p., https://doi.org/10.1016/j.jglr.2025.102608.","productDescription":"102608, 12 p.","ipdsId":"IP-177038","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502985,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102608","text":"Publisher Index Page"},{"id":502944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Lake Superior tributaries","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.75227036599577,\n              48.92833262463154\n            ],\n            [\n              -85.81152503458061,\n              48.92833262463154\n            ],\n            [\n              -85.81152503458061,\n              45.34493920539285\n            ],\n            [\n              -95.75227036599577,\n              45.34493920539285\n            ],\n            [\n              -95.75227036599577,\n              48.92833262463154\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"LaFond-Hudson, Sophia 0000-0002-0860-2546","orcid":"https://orcid.org/0000-0002-0860-2546","contributorId":356735,"corporation":false,"usgs":true,"family":"LaFond-Hudson","given":"Sophia","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pronschinske, Matthew A. 0000-0001-9787-4545 mpronschinske@usgs.gov","orcid":"https://orcid.org/0000-0001-9787-4545","contributorId":295961,"corporation":false,"usgs":true,"family":"Pronschinske","given":"Matthew","email":"mpronschinske@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269400,"text":"ofr20251039 - 2025 - Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","interactions":[],"lastModifiedDate":"2026-02-03T14:30:33.772241","indexId":"ofr20251039","displayToPublicDate":"2025-07-22T09:48:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1039","displayTitle":"Evaluating Deterrent Locations and Sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to Minimize Invasive Carp Occupancy and Abundance","title":"Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","docAbstract":"<p>Invasive carps, specifically silver carp (<i>Hypophthalmichthys molitrix</i>), bighead carp (<i>H</i>. <i>nobilis</i>), grass carp (<i>Ctenopharyngodon idella</i>), and black carp (<i>Mylopharyngodon piceus</i>), have proliferated in the Mississippi River Basin owing to escapes from aquaculture facilities and intentional releases. In the Water Resources and Development Act (WRDA) of 2020 Sec. 509, Congress directed the U.S. Army Corps of Engineers to work with the Tennessee Valley Authority and other relevant agencies with deterrent projects to implement as many as 10 deterrent projects intended to manage and prevent the spread of invasive carp in the Tennessee and Cumberland River subbasins. The WRDA was amended in 2022 to include that at least one location must be situated on the Tennessee–Tombigbee Waterway. This report documents a structured decision-making process that engaged State and Federal agencies to evaluate alternative deterrent site sequences at specified lock and dam complexes on the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. State and Federal agencies participated in a series of virtual and face-to-face meetings to structure the problem, expand the models used in previous decision analyses for the Tennessee River, and define management objectives. Potential deterrent sites were restricted to the downstream locations on the Tennessee River (<i>n</i>=3), Cumberland River (<i>n</i>=2), and the Tennessee–Tombigbee Waterway (<i>n</i>=10). Only considering 15 sites allowed all feasible deterrent site combinations and sequences to be evaluated. Invasive carp relative abundance was projected for the Tennessee River, Cumberland River, and Tennessee–Tombigbee Waterway management units for 20 years using a simulation model. The deterrent site sequences were ranked based on the system-level invasive carp relative abundance and distribution in year 20. The unique downstream expansion of invasive carp through the Tennessee–Tombigbee Waterway was important to the interest group, but downstream movement rates were unknown; therefore, several downstream movement rates were evaluated, and the outcomes were used to rank deterrent site sequences. Additionally, the analysis incorporated two scenarios involving the retention and removal of an experimental deterrent at Barkley Lock on the Cumberland River. The results of the deterrent site sequences varied among downstream movement rates, with Tennessee–Tombigbee Waterway deterrent locations installed earlier in highly ranked sequences with increasing downstream movement rates. This analysis was time-limited owing to agency needs and represents Phase 1 of this project. Phase 2 expands Phase 1 to address additional uncertainties and more holistic management objectives and strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251039","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Colvin, M.E., Aldridge, C.A., Jackson, N., and Post van der Burg, M., 2025, Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance: U.S. Geological Survey Open-File Report 2025–1039, 27 p., https://doi.org/10.3133/ofr20251039.","productDescription":"vii, 27 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171324","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":492704,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251039/full"},{"id":492703,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1039/images/"},{"id":492702,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.XML"},{"id":492701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2-25–1039"},{"id":492700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1039/coverthb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, Tennessee, Virginia","otherGeospatial":"Cumberland River, Tennessee River, Tennessee-Tombigbee Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    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data-mce-href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a><br>U.S. Geological Survey<br>4200 New Haven Road<br>Columbia, MO 65201</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>Plain Language Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results and Discussion</li><li>References Cited</li><li>Appendix 1. Problem Statement</li><li>Appendix 2. System And Projection Model Parameters</li><li>Appendix 3. Deterrent Sequence Rankings</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-07-22","noUsgsAuthors":false,"plainLanguageSummary":"<p>Invasive silver carp are spreading upstream in the Tennessee and Cumberland Rivers. This report details a collaborative effort among State and Federal agencies to evaluate potential sites for invasive carp deterrent projects along the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. The findings highlight that project implementation timing could significantly impact their success, especially with increasing downstream movement rates of invasive carp.</p>","publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Caleb A.","contributorId":358407,"corporation":false,"usgs":false,"family":"Aldridge","given":"Caleb A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":943665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Neal","contributorId":203382,"corporation":false,"usgs":false,"family":"Jackson","given":"Neal","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219400,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":943667,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269509,"text":"70269509 - 2025 - Genetic structure of an expanding population of Humpback Chub in Grand Canyon","interactions":[],"lastModifiedDate":"2025-11-20T16:40:29.42034","indexId":"70269509","displayToPublicDate":"2025-07-22T09:45:19","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":"Genetic structure of an expanding population of Humpback Chub in Grand Canyon","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Humpback Chub (HBC)<span>&nbsp;</span><i>Gila cypha</i><span>&nbsp;</span>in Grand Canyon declined in abundance and distribution over the latter part of the 20th century but have substantially increased in abundance and distribution over the past two decades. Although previous genetic work suggested that HBC in Grand Canyon belong to one genetic group, here we evaluate the genetic structure of HBC in Grand Canyon to determine whether relic populations in western Grand Canyon may have contributed unique variation to the recent population expansion or whether differences in behavior linked to migration in eastern Grand Canyon may promote assortative mating and heretofore unrecognized population structure.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">Using fin clips collected from 167 individual HBC representing four sampling sites within Grand Canyon, we extracted DNA and developed data sets consisting of approximately 20,000 anonymous genomic loci. We quantified patterns of genetic diversity, and we accounted for outlier single-nucleotide polymorphisms to ensure that our interpretations of genetic patterns were not misled by adaptive processes and did not mask adaptively important genetic variation.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Despite behavioral variation and the possibility that individuals with unique genetic variation survived in isolated warmwater sites within western Grand Canyon, HBC were not differentiated by sampling site or by differences in migratory behavior. Heterozygosity and nucleotide diversity were consistently high among sampling sites, and inbreeding coefficients were close to zero.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">The HBC in Grand Canyon constitute a single genetic population. Our results do not preclude a genetic basis to migratory behavior, but our data suggest that this trait does not lead to assortative mating. Furthermore, while HBC may have survived in discontiguous warmwater refugia in western Grand Canyon during decades when the main stem was too cold for spawning, our data did not reveal any noticeable spatial variability in HBC genetics in the main stem after the recent HBC population expansion.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf060","usgsCitation":"Dzul, M.C., Massatti, R., Yackulic, C., Omana-Smith, E., and Young, K., 2025, Genetic structure of an expanding population of Humpback Chub in Grand Canyon: North American Journal of Fisheries Management, v. 45, no. 5, p. 929-940, https://doi.org/10.1093/najfmt/vqaf060.","productDescription":"12 p.","startPage":"929","endPage":"940","ipdsId":"IP-171606","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.66641305997359,\n              36.76380274306818\n            ],\n            [\n              -114.02451595187244,\n              36.76380274306818\n            ],\n            [\n              -114.02451595187244,\n              35.52466906523314\n            ],\n            [\n              -111.66641305997359,\n              35.52466906523314\n            ],\n            [\n              -111.66641305997359,\n              36.76380274306818\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Omana-Smith, Emily","contributorId":358543,"corporation":false,"usgs":false,"family":"Omana-Smith","given":"Emily","affiliations":[{"id":85649,"text":"National Park Service, Grand Canyon National Park, 1824 S. Thompson St., Flagstaff, AZ, 86001","active":true,"usgs":false}],"preferred":false,"id":943923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk","contributorId":139191,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":943924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270841,"text":"70270841 - 2025 - Inferring Brown-Capped Rosy-Finch demography and breeding distribution trends from long-term wintering data in New Mexico","interactions":[],"lastModifiedDate":"2025-08-28T14:50:23.828059","indexId":"70270841","displayToPublicDate":"2025-07-22T09:44:26","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"title":"Inferring Brown-Capped Rosy-Finch demography and breeding distribution trends from long-term wintering data in New Mexico","docAbstract":"<p>The three North American Rosy-Finch species (Brown-capped [<i>Leucosticte australis</i>], Black [<i>L. atrata</i>], and Gray-crowned [<i>L. tephrocotis</i>]) are among the most climate-threatened species in the United States. New Mexico is an important location for investigating the effects of climate change because it is the southernmost location in which Brown-capped Rosy-Finches breed and the southernmost location where all three Rosy-Finch species co-occur during winter. In the context of climate change, this range boundary is important to study because it is the first part of the range anticipated to cross a threshold of unsuitability for these species with increasing temperatures. Rosy-Finches are difficult to study during the breeding season due to the high elevation and remoteness of their breeding grounds; therefore, winter studies may lend insight into population trends and provide direction for conservation actions based on knowledge of the breeding origins of wintering birds. The goals of our study were to investigate long-term survival and migration trends from wintering Brown-capped Rosy-Finches in New Mexico and evaluate the efficacy of radio frequency identification (RFID)-equipped artificial feeders to monitor population trends. As of May 2025, we have conducted a robust design survival analysis on 22 years of mark-recapture data from a particular wintering site in New Mexico, assessed patterns in the breeding origins of individuals captured at this site using stable isotope analysis, and examined patterns in data collected via RFID. Our main findings from this study are that annual survival probability of Rosy-Finches wintering in New Mexico is low compared to that of other migratory passerines, that Brown-capped Rosy-Finches wintering in New Mexico likely originate from a variety of locations across their breeding range, and that RFID monitoring is useful in improving survival estimates in Rosy-Finches, particularly in short-term studies. </p>","language":"English","publisher":"New Mexico Department of Game and Fish Share with Wildlife Program","usgsCitation":"Watson, W.A., Borgman, C.C., Cox, S., and Lawson, A.J., 2025, Inferring Brown-Capped Rosy-Finch demography and breeding distribution trends from long-term wintering data in New Mexico: Final Report, 31 p.","productDescription":"31 p.","ipdsId":"IP-179262","costCenters":[{"id":200,"text":"Coop Res Unit 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,{"id":70269469,"text":"70269469 - 2025 - Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","interactions":[],"lastModifiedDate":"2025-07-24T14:43:36.320989","indexId":"70269469","displayToPublicDate":"2025-07-22T09:36:52","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}},"title":"Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","docAbstract":"<p><span>Beach nourishments are a popular nature-based alternative to armoring for shoreline erosion mitigation, but nourishments have been criticized due to their environmental impacts and uncertain sustainability. Monitoring is often nonexistent or insufficient to constrain nourishment longevity and inform the renourishment interval required to maintain shoreline protection. This study uses a combination of topobathymetric surveys, high-resolution satellite-derived shorelines, and coastal engineering analyses to investigate the recent evolution of Minnesota Point and the fate of three beach nourishments constructed adjacent to littoral barriers. We use semi-empirical formulations for sediment compatibility, wave runup, and longshore sediment transport to inform the observed nourishment behavior. Minnesota Point experienced widespread foredune retreat averaging 7±2.8 m from 2009–2019 and 130,000 (70,000–140,000) m</span><sup>3</sup><span>&nbsp;of sediment was eroded during this interval. The 2019 nourishment at the Superior Entry was rapidly eroded by strong storms, losing &gt;80%</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mrow is=&quot;true&quot;&gt;&lt;mo is=&quot;true&quot;&gt;&amp;gt;&lt;/mo&gt;&lt;mn is=&quot;true&quot;&gt;80&lt;/mn&gt;&lt;mtext is=&quot;true&quot;&gt;%&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;\"></span><span>&nbsp;of the added beach width by the following spring. The 2020 and 2021 nourishments at the Duluth Entry retained&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mrow is=&quot;true&quot;&gt;&lt;mo is=&quot;true&quot;&gt;&amp;gt;&lt;/mo&gt;&lt;mn is=&quot;true&quot;&gt;80&lt;/mn&gt;&lt;mtext is=&quot;true&quot;&gt;%&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;\"></span><span> &gt;80% of the nourishment material at the time of the last topobathymetric survey in the fall of 2022, and satellite-derived shorelines indicate that the beach remained 10 m wider than pre-nourishment conditions at the end of 2023. Modeled longshore transport rates over the period 2009–2022 averaged 11,400 m</span><sup>3</sup><span>&nbsp;yr</span><sup>−1</sup><span>&nbsp;northwestward at the Superior Entry, nearly 3x greater than the 4000 m</span><sup>3</sup><span>&nbsp;yr</span><sup>−1</sup><span>&nbsp;southeastward transport modeled at the Duluth Entry. These observations show that differences in shoreline orientation, littoral sediment supply, and grain size compatibility can lead to contrasting beach nourishment longevities, and this study provides additional measurements of Minnesota Point’s long-term morphological change which can help inform coastal resiliency efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102459","usgsCitation":"Roland, C., Groten, J.T., Lund, J., and Hanson, J.L., 2025, Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior: Journal of Great Lakes Research, v. 51, no. 4, 102459, 21 p., https://doi.org/10.1016/j.jglr.2024.102459.","productDescription":"102459, 21 p.","ipdsId":"IP-167678","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102459","text":"Publisher Index Page"},{"id":492830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","city":"Duluth, Superior","otherGeospatial":"Minnesota Point","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.11687484166973,\n              46.79169814336808\n            ],\n            [\n              -92.11687484166973,\n              46.69589459379978\n            ],\n            [\n              -92.00223407990056,\n              46.69589459379978\n            ],\n            [\n              -92.00223407990056,\n              46.79169814336808\n            ],\n            [\n              -92.11687484166973,\n              46.79169814336808\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Jenny L. 0000-0001-8353-6908 jhanson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-6908","contributorId":461,"corporation":false,"usgs":true,"family":"Hanson","given":"Jenny","email":"jhanson@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269959,"text":"70269959 - 2025 - Evaluating large wood additions as a scalable method of urban stream restoration","interactions":[],"lastModifiedDate":"2025-11-20T16:47:10.943884","indexId":"70269959","displayToPublicDate":"2025-07-22T09:35:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating large wood additions as a scalable method of urban stream restoration","docAbstract":"<p><span>Urbanization is associated with increased erosion and habitat homogenization in stream ecosystems. This habitat degradation often has biological consequences, such as decreased species richness. Conventional stream restoration practices are costly, and projects are limited to small areas with easy access. A scalable, low-cost method of stream restoration is needed to address the widespread degradation occurring in urban streams. Large wood (LW) is an important element in stream ecosystems that is typically abundant in forested watersheds but scarce in urban streams. LW can reduce water velocities, generate pool habitat, decrease erosion, and provide cover for aquatic organisms. In this study, we performed experimental LW installations to assess the capacity of LW restoration to improve habitat and reduce sediment transport in an urban headwater stream in Cincinnati, Ohio. We tracked the geomorphic effects of these installations using a before-after-control-impact study design in four 60-m reaches, two treatment and two control, over a 1.5-year period to investigate the following questions: (1) Will unanchored LW additions remain stable in a flashy urban stream? (2) Will LW additions increase the availability of pool habitat? (3) Will wood additions increase bed stability and modify sediment size distributions? We found that LW installations rapidly increased pool habitat availability (size) around stable jams, but a majority of the LW jams were frequently mobilized and reconfigured by high-flow events. LW additions had no significant impact on the probability of stream bed mobilization, likely due to the instability of LW; however, the distance particles traveled once mobilized significantly decreased. While LW additions can increase the availability of pool habitat in urban headwater streams, further investigation is needed to understand the stability of such structures and the environmental context where these additions will be most beneficial.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.70007","usgsCitation":"Grap, P., Matter, S., Lehmann, A., Ward, D., and Booth, M., 2025, Evaluating large wood additions as a scalable method of urban stream restoration: River Research and Applications, v. 41, no. 9, p. 2032-2051, https://doi.org/10.1002/rra.70007.","productDescription":"20 p.","startPage":"2032","endPage":"2051","ipdsId":"IP-175806","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","county":"Hamilton County","otherGeospatial":"Cooper Creek, Mill Creek","volume":"41","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Grap, Peter","contributorId":357014,"corporation":false,"usgs":false,"family":"Grap","given":"Peter","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":945054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matter, Stephen F.","contributorId":359214,"corporation":false,"usgs":false,"family":"Matter","given":"Stephen F.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehmann, Adam","contributorId":357020,"corporation":false,"usgs":false,"family":"Lehmann","given":"Adam","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":945056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Dylan","contributorId":265490,"corporation":false,"usgs":false,"family":"Ward","given":"Dylan","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Booth, Michael Thomas 0000-0002-9842-085X","orcid":"https://orcid.org/0000-0002-9842-085X","contributorId":357011,"corporation":false,"usgs":true,"family":"Booth","given":"Michael Thomas","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269761,"text":"70269761 - 2025 - Blowing in the wind: Anemochory in blackbrush habitat of South Texas","interactions":[],"lastModifiedDate":"2025-11-20T16:43:14.129544","indexId":"70269761","displayToPublicDate":"2025-07-22T09:30:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Blowing in the wind: Anemochory in blackbrush habitat of South Texas","docAbstract":"<p><span>Wind dispersal has the potential to carry seeds long-distances and could inform the management and restoration of natural vegetation along the U.S.-Mexico Border. Plant species with the potential to disperse seeds in arid landscapes fragmented by border barrier infrastructure include foundational native, invasive, and federally endangered plant species. Wind dispersal traps constructed of cloth were set facing into the prevailing wind direction (SE) to characterize the role of wind in transporting soil particles, pebbles, plant debris, and seeds in blackbrush habitat during maximum events of wind speed (km per hour), and precipitation (cm). Shrubs, native grasses, the invasive&nbsp;</span><i>Pennisetum ciliare</i><span>&nbsp;(buffelgrass), soil particles, and pebbles dispersed in the wind, especially during maximum wind and/or precipitation events. Natural blackbrush areas supported the wind dispersal of twelve native species including grasses and woody shrubs. Sites disturbed by border infrastructure (barrier, roads, waterways) had higher seed numbers of invasive species such as&nbsp;</span><i>P. ciliare</i><span>&nbsp;captured in the wind traps. While modifications in passages through waterways and other structures have been proposed to improve the movement of organisms influenced by the barrier, the restoration of native plant species in damaged areas might further aid in the maintenance of blackbrush ecosystems by reducing invasive plant species dispersal into natural habitats.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-025-01527-9","usgsCitation":"Middleton, B., and Lain, E., 2025, Blowing in the wind: Anemochory in blackbrush habitat of South Texas: Plant Ecology, v. 226, p. 1057-1064, https://doi.org/10.1007/s11258-025-01527-9.","productDescription":"8 p.","startPage":"1057","endPage":"1064","ipdsId":"IP-167847","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":493240,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Arroyo Morteros, Arroyo Ramirez, Cuellar tract, Lower Rio Grande Valley National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.86537923681847,\n              27.90301608157847\n            ],\n            [\n              -99.19865426109092,\n              26.168012208444026\n            ],\n            [\n              -97.2958075042999,\n              25.753100816726878\n            ],\n            [\n              -97.08690291521907,\n              25.9785258529746\n            ],\n            [\n              -98.88941956966367,\n              26.540145638316744\n            ],\n            [\n              -99.47996857108726,\n              27.671219788235106\n            ],\n            [\n              -99.86537923681847,\n              27.90301608157847\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"226","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lain, Emily J.","contributorId":358948,"corporation":false,"usgs":false,"family":"Lain","given":"Emily J.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944576,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269581,"text":"70269581 - 2025 - Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","interactions":[],"lastModifiedDate":"2025-09-09T14:45:30.640888","indexId":"70269581","displayToPublicDate":"2025-07-22T08:59:45","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":"Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","docAbstract":"<p><span>Strategies animals use to navigate human-dominated landscapes frequently mimic anti-predator responses employed by prey species. Understanding how large carnivores respond to outdoor recreation is important for conservation, particularly in protected areas with preservation mandates. Visitation to Yellowstone National Park doubled from 1980 to 2015, increasing the need to examine potential changes in behavior of grizzly bears (</span><i>Ursus arctos</i><span>) in relation to human recreation sites (trails, backcountry campsites). We developed integrated step-selection functions to explore how recreation sites influenced the movement rate and selection by male and female grizzly bears. Further, we tested whether time of day (diurnal, crepuscular, nocturnal) and restrictions to human access (i.e., restricted, unrestricted) modified bear responses and then compared behaviors based on proximity to recreation sites. Male grizzly bears used trails to travel during crepuscular and nocturnal hours and exhibited more pronounced behavior in restricted areas compared with unrestricted areas, suggesting recreation in unrestricted areas influenced the behavior of male bears. In contrast, female bears varied their movement rate and selection of trails in restricted areas much more than in unrestricted areas, suggesting females may make security tradeoffs between male bears and people. Both sexes used trails, likely as energetically efficient travel corridors; however, our analyses did not indicate that bears spent time near backcountry campsites. The sex-based differences in selection and movement patterns associated with trails and campsites suggest a single management approach for recreation may not equally benefit all bears. Recreation impacts on wildlife are complex to characterize and predict, but simultaneously modeling movement and selection provides a more comprehensive assessment of strategies animals use to navigate perceived risk.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70068","usgsCitation":"Loggers, E., Litt, A.R., Haroldson, M., Gunther, K.A., and van Manen, F.T., 2025, Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area: Journal of Wildlife Management, v. 89, no. 7, e70068, 24 p., https://doi.org/10.1002/jwmg.70068.","productDescription":"e70068, 24 p.","ipdsId":"IP-174424","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":493317,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70068","text":"Publisher Index Page"},{"id":492993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.05465697234523,\n              45.04848474160275\n            ],\n            [\n              -111.05465697234523,\n              44.132997929608706\n            ],\n            [\n              -110.00606720612153,\n              44.132997929608706\n            ],\n            [\n              -110.00606720612153,\n              45.04848474160275\n            ],\n            [\n              -111.05465697234523,\n              45.04848474160275\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Loggers, Elise","contributorId":331713,"corporation":false,"usgs":false,"family":"Loggers","given":"Elise","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":944104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270836,"text":"70270836 - 2025 - Ecotoxicological effects of crude oil to early life stage Danio rerio: A molecular, morphological and behavioral approach focused on swim bladder development","interactions":[],"lastModifiedDate":"2025-11-20T16:58:09.990917","indexId":"70270836","displayToPublicDate":"2025-07-22T07:58:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ecotoxicological effects of crude oil to early life stage Danio rerio: A molecular, morphological and behavioral approach focused on swim bladder development","docAbstract":"<p><span>Proper development and inflation of the swim bladder is essential for swimming and foraging behavior in fish. To characterize the effects of the Brazilian oil spill that occurred between 2019 and 2020 to early life stage fish, the expression of genes involved in swim bladder development were targeted, with biochemical assays, morphology, and behavior assessed. The swim bladder was focused on due to recent findings of being a target of polycyclic aromatic hydrocarbons (PAHs)&nbsp;present in oil. Zebrafish (</span><i>Danio rerio</i><span>) were exposed to oil water accommodated fractions at concentrations measured following the spill, 1.12–71.8 total PAHs (μg-ΣPAHt L</span><sup>−1</sup><span>). Larvae exposed to 4.49 and 17.9 μg-ΣPAHt L</span><sup>−1</sup><span>&nbsp;had a downregulation in swim bladder development genes&nbsp;</span><i>hb9</i><span>,&nbsp;</span><i>sox2</i><span>,&nbsp;</span><i>has2</i><span>, and&nbsp;</span><i>elovl1a</i><span>&nbsp;at 48 hr postfertilization (hpf). Downregulation in these genes was associated with a high frequency of uninflated swim bladders at 96 and 168 hpf, with uninflated swim bladders detected in 100% of 96 to 168 hpf larvae exposed to 35.9 and 71.8 μg-ΣPAHt L</span><sup>−1</sup><span>. Superoxide dismutase and catalase levels were inhibited in larvae exposed to 1.12 and 2.24 μg-ΣPAHt L</span><sup>−1</sup><span>, respectively. There was an increase in glutathione-S-transferase and glutathione levels in exposed larvae. Average swimming speed and distance were reduced in larvae exposed to 1.12 μg-ΣPAHt L</span><sup>−1</sup><span>. This suggests that complex mixtures of PAHs from crude oil can inhibit the transcription of genes involved in swim bladder tissue development and proper swim-up behavior, which may have implications for the viability and success of developing larvae, affecting recruitment.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf184","usgsCitation":"Mariz, C.F., de Melo Alves, M.K., Magnuson, J.T., Braga de Castro, I., Silva de Andrade, F.A., Zanardi-Lamardo, E., Dias Medeiros, I., and Carvalho, P.S., 2025, Ecotoxicological effects of crude oil to early life stage Danio rerio: A molecular, morphological and behavioral approach focused on swim bladder development: Environmental Toxicology and Chemistry, v. 44, no. 11, p. 3363-3374, https://doi.org/10.1093/etojnl/vgaf184.","productDescription":"12 p.","startPage":"3363","endPage":"3374","ipdsId":"IP-172025","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":494897,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mariz, Célio F.","contributorId":360535,"corporation":false,"usgs":false,"family":"Mariz","given":"Célio","middleInitial":"F.","affiliations":[{"id":86032,"text":"Federal University of Pernambuco, Brazil","active":true,"usgs":false}],"preferred":false,"id":947189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Melo Alves, Maria Karolaine","contributorId":360536,"corporation":false,"usgs":false,"family":"de Melo Alves","given":"Maria","middleInitial":"Karolaine","affiliations":[{"id":86032,"text":"Federal University of Pernambuco, Brazil","active":true,"usgs":false}],"preferred":false,"id":947190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":947191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braga de Castro, Italo","contributorId":360537,"corporation":false,"usgs":false,"family":"Braga de Castro","given":"Italo","affiliations":[{"id":86035,"text":"Federal University of São Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":947192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silva de Andrade, Felix Augusto","contributorId":360538,"corporation":false,"usgs":false,"family":"Silva de Andrade","given":"Felix","middleInitial":"Augusto","affiliations":[{"id":86035,"text":"Federal University of São Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":947193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zanardi-Lamardo, Eliete","contributorId":360539,"corporation":false,"usgs":false,"family":"Zanardi-Lamardo","given":"Eliete","affiliations":[{"id":86032,"text":"Federal University of Pernambuco, Brazil","active":true,"usgs":false}],"preferred":false,"id":947194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dias Medeiros, Igor","contributorId":360540,"corporation":false,"usgs":false,"family":"Dias Medeiros","given":"Igor","affiliations":[{"id":86035,"text":"Federal University of São Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":947195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carvalho, Paulo S.","contributorId":360541,"corporation":false,"usgs":false,"family":"Carvalho","given":"Paulo","middleInitial":"S.","affiliations":[{"id":86032,"text":"Federal University of Pernambuco, Brazil","active":true,"usgs":false}],"preferred":false,"id":947196,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70269660,"text":"70269660 - 2025 - The effects of forest harvesting on total and methylmercury concentrations in surface waters depend on harvest practices and physical site characteristics","interactions":[],"lastModifiedDate":"2025-08-18T15:22:57.469229","indexId":"70269660","displayToPublicDate":"2025-07-22T07:45:15","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":"The effects of forest harvesting on total and methylmercury concentrations in surface waters depend on harvest practices and physical site characteristics","docAbstract":"Forest harvesting can lead to mercury (Hg) mobilization from soils to aquatic habitats and promote the transformation of inorganic Hg to highly neurotoxic and bioaccumulative methyl-Hg (MeHg). Multiple past studies reveal broad variation of stream water MeHg and total Hg (THg) concentrations responses to forest harvesting, which has confounded messaging to forest and resource managers. To advance beyond divergent and sometimes contradictory findings, we synthesize information for 23 previously studied catchments in North America and Fennoscandia, and compiled a uniform set of soil, landscape, and harvesting properties to identify forest management, riparian, and hillslope factors that influence responses of stream water MeHg and THg concentrations. From this synthesis, we found catchments with high soil moisture and organic soil layers > 100 cm to be at highest risk for disturbance-induced increases in MeHg formation after harvest, but not necessarily affecting concentrations of MeHg in stream waters. Instead, the combination of MeHg formation in soils along with factors that affect mobilization with runoff to streams most influenced how forest harvest affects MeHg concentrations in stream waters.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c02787","usgsCitation":"Eklof, K., de Wit, H.A., Eckley, C.S., Eagles-Smith, C., Eggert, S.L., Mackereth, R., Skyllberg, U., Ukonmaanaho, L., Verta, M., Allan, C.J., Emilson, E., Kidd, K.A., Mitchell, C., Munthe, J., Sallantaus, T., Segersten, J., Bravo, A., Kolka, R., McCarter, C., Porvari, P., Ring, E., Sebestyen, S., Sikstrom, U., and Zetterberg, T., 2025, The effects of forest harvesting on total and methylmercury concentrations in surface waters depend on harvest practices and physical site characteristics: Environmental Science and Technology, v. 59, no. 30, p. 15944-15955, https://doi.org/10.1021/acs.est.5c02787.","productDescription":"12 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,{"id":70269399,"text":"sir20255044 - 2025 - Factors affecting the distribution of water-bearing fractures in the bedrock aquifers of West Virginia","interactions":[],"lastModifiedDate":"2026-02-03T14:29:52.898888","indexId":"sir20255044","displayToPublicDate":"2025-07-21T15:10:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5044","displayTitle":"Factors Affecting the Distribution of Water-Bearing Fractures in the Bedrock Aquifers of West Virginia","title":"Factors affecting the distribution of water-bearing fractures in the bedrock aquifers of West Virginia","docAbstract":"<p>Bedrock aquifers cover 23,601 square miles within the State of West Virginia and comprise 97.4 percent of the surficial area within the State; the remaining 2.6 percent (621 square miles) consists of alluvial sand-and-gravel and glacial outwash aquifers bordering the State’s major rivers. While West Virginia’s alluvial aquifers have been studied extensively, bedrock aquifers have only been characterized for studies completed in a few areas in Jefferson, McDowell, and Monroe Counties. Bedrock aquifers are water supplies for public supply, agriculture, industry, and residential homeowner use. In this study, the U.S. Geological Survey, in cooperation with the West Virginia Department of Environmental Protection Division of Water and Waste Management, provides a statewide assessment of the occurrence and distribution of fractures within bedrock aquifers of the State and the various topographic, physiographic, and lithologic influences controlling the occurrence and distribution of bedrock fractures. The results of this study provide an increased understanding of the distribution of fractures in bedrock aquifers in West Virginia and help to verify trends that have been suspected for many years but were never well documented or verified by data.</p><p>The results confirmed that the density of fractures and those that were determined to be water bearing decrease significantly with depth. A statistically significant difference in the density of fractures was observed at a depth of 215 feet for wells in the Appalachian Plateaus Physiographic Province’s and in the Valley and Ridge Physiographic Province’s aquifers; a higher density of fractures and water-bearing fractures were above a depth of 215 feet than below that depth. This is an important consideration when drilling wells for residential, commercial, industrial, or agricultural water supply.</p><p>Abandoned underground coal mines are commonly believed to form large pools of water in the interconnected mine entries in abandoned room and pillar coal mines. Such pools of water can and do exist in abandoned underground coal mines, but many mines lack open entries and are held up by overburden strata and pillars that can collapse and form aquifers comprised of vast interconnected rubble zones (gob), especially in older mines.</p><p>Data assessed for this study showed that shale-corrected values of effective porosity for limestone aquifers in West Virginia had a median value of 2 percent and an average value of 4 percent and generally are mineralized with low effective porosity. Argillaceous or sandy limestone has a median shale-corrected porosity of 4 percent and an average shale-corrected porosity of 5 percent. The median and average shale-corrected porosity of sandstone aquifers was estimated to be 14 percent, but the median shale-corrected porosity for argillaceous or calcareous sandstone was 5 percent and the average shale-corrected porosity for argillaceous or calcareous sandstone was 6 percent. Even though shale has a relatively high total sonic porosity compared to other lithologies, shale and siltstone had relatively low shale-corrected porosity, ranging from 0 to 2 percent.</p><p>Well yields were previously documented to be highest in valley settings, lowest on hilltops, and intermediate on hillsides. Transmissivity data provided by this study confirm this general pattern within the Appalachian Plateaus Province; however, the Valley and Ridge Province does not follow this pattern. While still lowest on hilltop settings, the highest well yields were in hillside settings. The trend for the Valley and Ridge Province was likely skewed because of 9 high-yield wells specifically targeting deeper thin limestone units, such as the Tonoloway and Helderberg Limestones, at depths with transmissivity in excess of 2,000 feet squared per day in Mineral County, West Virginia, or targeting karst aquifers in Berkeley, Jefferson, or Greenbrier Counties, West Virginia.</p><p>Finally, water-bearing fractures have been hypothesized to comprise a small number of all fractures within a typical bedrock well in West Virginia. Data collected for this study support this theory. A total of 3,403 fractures were identified during this study; 3,151 (92.6 percent) of those fractures are low-transmissive, and only 252 (7.4 percent) fractures are water-bearing. Even though a well may contain many fractures, less than 8 percent are considered water-bearing fractures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255044","isbn":"978-1-4113-4608-6","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection Division of Water and Waste Management","usgsCitation":"Kozar, M.D., McAdoo, M.A., Austin, S.H., and Wright, C.A., 2025, Factors affecting the distribution of water-bearing fractures in the bedrock aquifers of West Virginia: U.S. Geological Survey Scientific Investigations Report 2025–5044, 66 p., https://doi.org/10.3133/sir20255044.","productDescription":"x, 66 p.","numberOfPages":"66","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-167322","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":499045,"rank":7,"type":{"id":36,"text":"NGMDB Index 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Virginia\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 East Parham Road<br>Richmond, Virginia 23228</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>Methods</li><li>Factors Affecting Distribution of Water-Bearing Fractures</li><li>Selected Areas of Specific Investigation</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-07-21","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":943660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":943661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":943662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Carson A. 0009-0005-7567-5453","orcid":"https://orcid.org/0009-0005-7567-5453","contributorId":352325,"corporation":false,"usgs":true,"family":"Wright","given":"Carson A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":943663,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270742,"text":"70270742 - 2025 - A flexible conservation and connectivity tool to inform stream conservation prioritization","interactions":[],"lastModifiedDate":"2026-01-05T16:37:21.451935","indexId":"70270742","displayToPublicDate":"2025-07-21T10:13:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A flexible conservation and connectivity tool to inform stream conservation prioritization","docAbstract":"<p><span>Healthy stream networks rely on diverse fish assemblages and the mobility of fish between habitats to maintain ecosystem structure and function. Anthropogenic structures that impede fish movement (e.g., roads, dams) disrupt life cycles of migratory fishes and isolate fish populations making them more sensitive to environmental stressors. Growing interest in barrier removal is driven by the recognition that restoring fish passage improves ecosystem health and resilience at multiple trophic levels, but identifying which streams should be reconnected and which barriers to remove remains an unresolved issue. Using the state of Missouri (USA) stream network, we developed an interactive decision support tool designed to help natural resource managers identify a shortlist of stream reaches to prioritize for reconnection, barrier removal, and habitat restoration. Our aquatic connectivity decision support tool, which we call AquaConn, is aimed at managers seeking to improve connectivity within and between existing conservation areas, particularly in wadeable streams. AquaConn provides a flexible platform that allows managers to consider entire assemblages of fish or individual species across local or more regional spatial scales. While AquaConn (</span><a class=\"link link-uri openInAnotherWindow\" rel=\"noopener\" href=\"https://bit.ly/4kQgXK8\" target=\"_blank\" data-google-interstitial=\"false\" data-mce-href=\"https://bit.ly/4kQgXK8\">https://bit.ly/4kQgXK8</a><span>) was built for the state of Missouri, our approach and framework can be replicated in any geographical region that has adequate fish assemblage data.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/fshmag/vuaf064","usgsCitation":"Winikoff, S.G., Paukert, C., Sievert, N., and Rogosch, J.S., 2025, A flexible conservation and connectivity tool to inform stream conservation prioritization: Fisheries, v. 50, no. 12, p. 527-537, https://doi.org/10.1093/fshmag/vuaf064.","productDescription":"11 p.","startPage":"527","endPage":"537","ipdsId":"IP-169145","costCenters":[{"id":198,"text":"Coop Res Unit 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,{"id":70274005,"text":"70274005 - 2025 - Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","interactions":[],"lastModifiedDate":"2026-02-20T16:11:51.850785","indexId":"70274005","displayToPublicDate":"2025-07-21T10:05:49","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":"Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","docAbstract":"<p><span>Knowledge of animal-movement patterns is a crucial component in identifying areas with high potential for human–wildlife conflict and in prioritizing associated management actions. Electrical energy infrastructure is a major source of mortality for animals worldwide, with millions of birds colliding with or being electrocuted by power lines and power-pole infrastructure each year. Movement, habitat use, and the spatial distribution of electrocution risk can vary with age, but studies of younger age classes are often hampered because these groups are difficult to observe and lack well-defined home ranges. To identify movement patterns and high-use areas of bald eagles in Arizona, USA, we analyzed global positioning system (GPS) telemetry data collected from 13 immature bald eagles (</span><i>Haliaeetus leucocephalus</i><span>) across Arizona between 2017 and 2023. We built multi-scale, integrated step-selection functions that evaluated eagle responses to a suite of environmental covariates. We then used these models to simulate eagle movement and predict habitat use within and surrounding Maricopa County, which contains both the Phoenix Metropolitan Area and the plurality of bald eagle breeding areas in Arizona. We provide a use case for how these simulated movements could be used by resource managers to identify high-risk areas for electrocution. Eagles avoided urban areas and selected steeper slopes, more pronounced ridges, and areas with greater water and wetland land cover. Predicted habitat use by bald eagles was greatest near waterbodies and along ridges and steep slopes, and indicated where power infrastructure may pose greater electrocution risk. We show how integrated step-selection analyses and movement path simulation may be used for subadult animals lacking stable home ranges to predict high-use areas and identify locations with greater potential for negative human–wildlife interactions.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70061","usgsCitation":"Cappello, C. ., Jacobson, K.V., Driscoll, J.T., McCarty, K.M., Bauder, J.M., 2025, Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species: Journal of Wildlife Management, v. 89, no. 7, e70061, 19 p., https://doi.org/10.1002/jwmg.70061.","productDescription":"e70061, 19 p.","ipdsId":"IP-178672","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.5,\n              34.1\n            ],\n            [\n              -113.5,\n              32.5\n            ],\n            [\n              -111,\n              32.5\n            ],\n            [\n              -111,\n              34.1\n            ],\n            [\n              -113.5,\n              34.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cappello, Caroline   D.","contributorId":366625,"corporation":false,"usgs":false,"family":"Cappello","given":"Caroline","middleInitial":"  D.","affiliations":[{"id":81133,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":956103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Kenneth V.","contributorId":366626,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth","middleInitial":"V.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, James T.","contributorId":366627,"corporation":false,"usgs":false,"family":"Driscoll","given":"James","middleInitial":"T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Kyle M.","contributorId":366629,"corporation":false,"usgs":false,"family":"McCarty","given":"Kyle","middleInitial":"M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273993,"text":"70273993 - 2025 - Shared leadership can promote success in collaborative research networks in ecology","interactions":[],"lastModifiedDate":"2026-02-24T14:55:18.949074","indexId":"70273993","displayToPublicDate":"2025-07-21T09:03:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shared leadership can promote success in collaborative research networks in ecology","docAbstract":"<p>1. While collaborative science is becoming the norm in ecology, many ecologists participating in collaborations are less aware of the body of research that studies the processes by which collaborative teams organize and communicate.</p><p>2. Here, we discuss how we successfully used a shared leadership model in the Dry Rivers Research Coordination Network. We discuss how this model promote dour success in different stages of the project, using the Tuckman model of team development: forming, storming, norming, performing and adjourning.</p><p>3. Shared leadership in the forming phase helped us recruit a diverse membership from different scientific disciplines. In the storming and norming phases, shared leadership was especially useful in ensuring that all voices were heard in establishing group norms that promoted adhesion among and investment by RCN members. Shared leadership in the performing phase was crucial in providing opportunities for early career members to lead projects, and in the adjourning phase we reflected upon our entire collaboration to identify that shared leadership was crucial to our success, generating the thesis for this commentary.</p><p>4. It is our hope that others may find this discussion of our experience in implementing a shared leadership model useful in developing their own fruitful collaborations.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70109","usgsCitation":"Allen, D.C., Burgin, A.J., Seybold, E.C., Dodds, W.K., Busch, M.H., Bergstrom, A., Krabbenhoft, C.A., Boersma, K.S., Stegen, J.C., Olden, J.D., Atkinson, C.L., Jones, C.N., Datry, T., Godsey, S.E., Shogren, A.J., Walters, A.W., Plont, S., Walker, R.H., Shanafield, M., Mims, M.C., Price, A.N., Smith, C.R., You, Y., Bogan, M.T., Burrows, R.M., Messager, M.L., Stubbington, R., Zimmer, M.A., 2025, Shared leadership can promote success in collaborative research networks in ecology: Functional Ecology, 9 p., https://doi.org/10.1111/1365-2435.70109.","productDescription":"9 p.","ipdsId":"IP-176946","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500600,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70109","text":"Publisher Index Page"},{"id":500414,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":956032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgin, Amy 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Tech","active":true,"usgs":false}],"preferred":false,"id":956051,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Price, Adam N.","contributorId":366565,"corporation":false,"usgs":false,"family":"Price","given":"Adam","middleInitial":"N.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":956052,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Smith, Chelsea R.","contributorId":366567,"corporation":false,"usgs":false,"family":"Smith","given":"Chelsea","middleInitial":"R.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":956053,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"You, Yaqi","contributorId":366570,"corporation":false,"usgs":false,"family":"You","given":"Yaqi","affiliations":[{"id":87494,"text":"The State University of New York College of Environmental Science and 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,{"id":70269443,"text":"70269443 - 2025 - Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA","interactions":[],"lastModifiedDate":"2025-07-23T14:32:38.22027","indexId":"70269443","displayToPublicDate":"2025-07-20T09:28:00","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":"Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA","docAbstract":"<p><span>Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with known bioaccumulative and toxic effects in aquatic ecosystems. This study assessed site-specific differences in PFAS contamination in fish from Ashumet Pond, Sudbury River, and Great Herring Pond (reference site) in Massachusetts. Fish from Ashumet Pond exhibited the highest PFAS concentrations, particularly perfluorooctane sulfonate (PFOS), which exceeded levels in plasma almost 650 times those at the reference site. Principal component analysis identified distinct PFAS profiles at each site, reflecting localized contamination sources. Temporal analysis at Ashumet Pond revealed a substantial increase in plasma PFOS and perfluorodecanoic acid (PFDA) from 2020 to 2022. Tissue distribution analyses showed the highest PFAS concentrations in plasma, followed by liver and muscle, consistent with PFAS binding affinity for blood proteins. Species-specific differences in PFAS bioaccumulation were observed, with largemouth bass (</span><i>Micropterus nigricans</i><span>) exhibiting higher body burdens than banded killifish (</span><i>Diaphanus fundulus</i><span>), likely due to trophic position and dietary exposure. Histopathological assessments and gene transcript analyses revealed associations between PFAS exposure and inflammatory responses, oxidative stress, endocrine disruption, and immune-related pathways, with the most pronounced molecular effects observed at the downstream site of the Sudbury River. This study underscores the importance of understanding site-specific contamination sources, exposure pathways, and biological effects of PFAS in fish. These findings would benefit from additional research on sediment contamination, temporal analyses at each site, trophic transfer, and transcriptomic analyses across multiple organs to further elucidate PFAS toxicity mechanisms and guide remediation efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107499","usgsCitation":"Walsh, H.L., Blazer, V., Lord, E., Hurley, S.T., and LeBlanc, D.R., 2025, Occurrence and tissue distribution of per- and polyfluoroalkyl substances (PFAS) in fishes from waterbodies with point and non-point sources in Massachusetts, USA: Aquatic Toxicology, v. 287, 107499, 17 p., https://doi.org/10.1016/j.aquatox.2025.107499.","productDescription":"107499, 17 p.","ipdsId":"IP-179883","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497990,"rank":0,"type":{"id":40,"text":"Open Access 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