{"pageNumber":"64","pageRowStart":"1575","pageSize":"25","recordCount":40754,"records":[{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","interactions":[{"subject":{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","indexId":"70257569","publicationYear":"2024","noYear":false,"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"id":1}],"supersededBy":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"lastModifiedDate":"2025-04-28T15:40:31.008668","indexId":"70257569","displayToPublicDate":"2024-08-16T10:22:40","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","docAbstract":"<p><span>Water temperature is a primary control on the occurrence and distribution of cold-water species. Rivers draining Mount Rainier in western Washington, including the White River along its northern flank, support several cold-water fish populations, but the spatial distribution of water temperatures, particularly during late-summer base flow between August and September, and the climatic, hydrologic, and physical processes regulating this temperature distribution are not well understood. Spatial stream network (SSN) models, which are generalized linear models that incorporate streamwise spatial autocovariance structures, were fit to mean and seven-day average daily maximum water temperature for August and September for the White River basin located with Mount Rainier National Park. The SSN models were calibrated using water temperature measurements collected between 2010 and 2020. Significant covariates within the best-fit models included the proportion of ice cover and forest cover within the basin, mean August air temperature, the proportion of consolidated geologic units, and snow water equivalent. Statistical models that included spatial autocovariance structures had better predictive performance than those that did not. In addition, models of mean August and September water temperature had better predictive performance than those of seven-day average daily maximum temperature in August and September. Predictions of the spatial distribution of water temperature were similar between August and September with a general warming in the downstream part of main-stem White River compared to cooler water temperatures in the high-elevation headwater streams. Estimated water temperatures for the upper White River model are three to four degrees Celsius warmer for tributaries but one to two degrees cooler for the main stem compared to the regional-scale model. Differences between the upper White River SSN model and the regional-scale SSN model are attributed the upper White River SSN including water temperature observations specific to the upper White River, whereas water temperature observations from lower elevation streams and downstream of the Mount Rainer National Park boundary were used in the regional-scale model.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5712P","usgsCitation":"Gendaszek, A., Leach, A.C., and Jaeger, K.L., 2024, Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington: EarthArXiv, https://doi.org/10.31223/X5712P.","productDescription":"33 p.","ipdsId":"IP-166723","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":433007,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439208,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5712p","text":"External Repository"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":343378,"corporation":false,"usgs":false,"family":"Gendaszek","given":"Andrew","middleInitial":"S.","affiliations":[{"id":82076,"text":"King County","active":true,"usgs":false}],"preferred":false,"id":910876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leach, Anya Clare 0000-0001-7828-8858","orcid":"https://orcid.org/0000-0001-7828-8858","contributorId":339960,"corporation":false,"usgs":true,"family":"Leach","given":"Anya","email":"","middleInitial":"Clare","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257160,"text":"70257160 - 2024 - Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","interactions":[],"lastModifiedDate":"2024-08-12T12:11:35.568056","indexId":"70257160","displayToPublicDate":"2024-08-16T06:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e565\">Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/tc-18-3195-2024","usgsCitation":"Piermattei, L., Zemp, M., Sommer, C., Brun, F., Braun, M.H., Andreassen, L.M., Belart, J.M., Berthier, E., Bhattacharya, A., Boehm Vock, L., Bolch, T., Dehecq, A., Dussaillant, I., Falaschi, D., Florentine, C., Floricioiu, D., Ginzler, C., Guillet, G., Hugonnet, R., Kaab, A., King, O., Klug, C., Knuth, F., Krieger, L., La Frenierre, J., McNabb, R., McNeil, C., Prinz, R., Sass, L., Seehaus, T., Shean, D., Treichler, D., Wendt, A., and Yang, R., 2024, Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data: The Cryosphere, v. 18, no. 7, p. 3195-3230, https://doi.org/10.5194/tc-18-3195-2024.","productDescription":"36 p.","startPage":"3195","endPage":"3230","ipdsId":"IP-154831","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-18-3195-2024","text":"Publisher Index Page"},{"id":432482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Piermattei, Livia","contributorId":342083,"corporation":false,"usgs":false,"family":"Piermattei","given":"Livia","email":"","affiliations":[],"preferred":false,"id":909583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zemp, Michael","contributorId":342071,"corporation":false,"usgs":false,"family":"Zemp","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sommer, Christian","contributorId":342072,"corporation":false,"usgs":false,"family":"Sommer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brun, Fanny","contributorId":342073,"corporation":false,"usgs":false,"family":"Brun","given":"Fanny","email":"","affiliations":[],"preferred":false,"id":909602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braun, Matthias H.","contributorId":342074,"corporation":false,"usgs":false,"family":"Braun","given":"Matthias","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":909603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreassen, Liss M.","contributorId":342075,"corporation":false,"usgs":false,"family":"Andreassen","given":"Liss","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belart, Joaquin M. C.","contributorId":342076,"corporation":false,"usgs":false,"family":"Belart","given":"Joaquin","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":909605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berthier, Etienne","contributorId":342077,"corporation":false,"usgs":false,"family":"Berthier","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":909606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhattacharya, Atanu","contributorId":342078,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Atanu","email":"","affiliations":[],"preferred":false,"id":909607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boehm Vock, Laura","contributorId":342079,"corporation":false,"usgs":false,"family":"Boehm Vock","given":"Laura","email":"","affiliations":[],"preferred":false,"id":909608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bolch, Tobias","contributorId":342080,"corporation":false,"usgs":false,"family":"Bolch","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":909609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dehecq, Amaury","contributorId":299746,"corporation":false,"usgs":false,"family":"Dehecq","given":"Amaury","email":"","affiliations":[],"preferred":false,"id":909610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dussaillant, Ines","contributorId":342081,"corporation":false,"usgs":false,"family":"Dussaillant","given":"Ines","email":"","affiliations":[],"preferred":false,"id":909611,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Falaschi, Daniel","contributorId":342082,"corporation":false,"usgs":false,"family":"Falaschi","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":909612,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909613,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Floricioiu, Dana","contributorId":342084,"corporation":false,"usgs":false,"family":"Floricioiu","given":"Dana","email":"","affiliations":[],"preferred":false,"id":909614,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ginzler, Christian","contributorId":342085,"corporation":false,"usgs":false,"family":"Ginzler","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909615,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Guillet, Gregoire","contributorId":342086,"corporation":false,"usgs":false,"family":"Guillet","given":"Gregoire","email":"","affiliations":[],"preferred":false,"id":909616,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hugonnet, Romain","contributorId":342087,"corporation":false,"usgs":false,"family":"Hugonnet","given":"Romain","email":"","affiliations":[],"preferred":false,"id":909617,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kaab, Andreas","contributorId":53175,"corporation":false,"usgs":false,"family":"Kaab","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":909618,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"King, Owen","contributorId":342089,"corporation":false,"usgs":false,"family":"King","given":"Owen","email":"","affiliations":[],"preferred":false,"id":909619,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Klug, Christoph","contributorId":342090,"corporation":false,"usgs":false,"family":"Klug","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":909620,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Knuth, Friedrich","contributorId":299741,"corporation":false,"usgs":false,"family":"Knuth","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":909621,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Krieger, Lukas","contributorId":342091,"corporation":false,"usgs":false,"family":"Krieger","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":909622,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"La Frenierre, Jeff","contributorId":342092,"corporation":false,"usgs":false,"family":"La Frenierre","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":909623,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McNabb, Robert 0000-0003-0016-493X","orcid":"https://orcid.org/0000-0003-0016-493X","contributorId":293147,"corporation":false,"usgs":false,"family":"McNabb","given":"Robert","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":909624,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":909625,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Prinz, Rainer","contributorId":342093,"corporation":false,"usgs":false,"family":"Prinz","given":"Rainer","email":"","affiliations":[],"preferred":false,"id":909626,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":909627,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Seehaus, Thorsten","contributorId":342094,"corporation":false,"usgs":false,"family":"Seehaus","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":909628,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Shean, David","contributorId":299742,"corporation":false,"usgs":false,"family":"Shean","given":"David","affiliations":[],"preferred":false,"id":909629,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Treichler, Desiree","contributorId":342095,"corporation":false,"usgs":false,"family":"Treichler","given":"Desiree","email":"","affiliations":[],"preferred":false,"id":909630,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wendt, Anja","contributorId":342096,"corporation":false,"usgs":false,"family":"Wendt","given":"Anja","email":"","affiliations":[],"preferred":false,"id":909631,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Yang, Ruitang","contributorId":342097,"corporation":false,"usgs":false,"family":"Yang","given":"Ruitang","email":"","affiliations":[],"preferred":false,"id":909632,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70263690,"text":"70263690 - 2024 - The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","interactions":[],"lastModifiedDate":"2025-02-20T22:09:37.912852","indexId":"70263690","displayToPublicDate":"2024-08-15T16:06:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster <i>Crassostrea virginica </i>example","title":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Increasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster<span>&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;</span>fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.</p></div><div class=\" sec\"><div class=\"title\">Result</div><p class=\"chapter-para\">The CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.</p></div><div class=\" sec\"><div class=\"title\">Conclusion</div><p class=\"chapter-para\">Investment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1002/mcf2.10297","usgsCitation":"La Peyre, M., Sable, S., Marshall, D., Irwin, E.R., and Hanson, C., 2024, The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 16, no. 4, 10297, 16 p., https://doi.org/10.1002/mcf2.10297.","productDescription":"10297, 16 p.","ipdsId":"IP-159595","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10297","text":"Publisher Index Page"},{"id":482302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":927837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Chad W.","contributorId":351071,"corporation":false,"usgs":false,"family":"Hanson","given":"Chad W.","affiliations":[{"id":65917,"text":"The Pew Charitable Trusts","active":true,"usgs":false}],"preferred":false,"id":927838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257195,"text":"ofr20241040 - 2024 - Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","interactions":[],"lastModifiedDate":"2026-02-09T17:14:31.244181","indexId":"ofr20241040","displayToPublicDate":"2024-08-15T13:48:22","publicationYear":"2024","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":"2024-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2023 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>We completed four protocol surveys for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; hereinafter vireo) during the breeding season, supplemented by weekly territory monitoring visits between April 6 and July 20 at the San Luis Rey Flood Risk Management Project Area (hereinafter Project Area). We identified a total of 136 territorial male vireos; 121 were confirmed as paired, and 4 were confirmed as single males. For the remaining 11 territories, we were unable to confirm breeding status. In 2023, two transient vireos were detected. The vireo population in the Project Area increased by 2 percent from 2022 to 2023. Populations in southern San Diego County also increased (by 6 percent on the Otay River) or were stable (Salt Creek/Wolf Canyon). In contrast, the vireo population at Marine Corps Base Camp Pendleton (MCBCP) and at Marine Corps Air Station decreased by 2 and 10 percent, respectively.</p><p>We used an index of treatment (hereinafter Treatment Index) to evaluate the effect of ongoing vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for an unoccupied habitat was more than four times higher than that of an occupied habitat, indicating that vireos selected habitats that were less treated in which to settle.</p><p>We monitored vireo nests at three general site types: (1) within the flood channel where non-native and native vegetation removal has occurred regularly (hereinafter Channel), (2) three sites near the flood channel where limited non-native and native vegetation removal has occurred (hereinafter Off-channel), and (3) three sites that have been actively restored by planting native vegetation (hereinafter Restoration). Nesting activity was monitored in 84 territories, 4 of which were occupied by single males. Overall, 46 percent of completed nests were successful, and nest success did not differ among the three sites. In 2023, we found that territories in the Channel had greater hatching success per egg compared to Off-channel, but there were no other differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel, and Restoration sites. Overall breeding success and productivity were slightly higher in 2023 than in 2022, with pairs fledging an average±standard deviation of 3.1±2.1 young and 79 percent of pairs fledging at least 1 young.</p><p>To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort (the number of nest attempts) or the number of vireo fledglings per pair produced in 2023. Similarly, we did not detect an effect of Treatment Index on the daily survival rate (DSR) of nests.</p><p>Analysis of vegetation data collected at vireo nests from 2006 to 2023 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in and farther from the edge of the host plant than Off-channel nests. Within sites, we did not detect any differences in vegetation cover between successful and unsuccessful nests.</p><p>Red/arroyo willow (<i>Salix laevigata</i> or <i>Salix lasiolepis</i>) and mule fat (<i>Baccharis salicifolia</i>) were the species most commonly selected for nesting by vireos in all three site types. Black willow (<i>Salix gooddingii</i>) and sandbar willow (<i>Salix exigua</i>) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (10 and 13 species, respectively) compared to Restoration sites (2 species), although there was limited nesting in Restoration sites in 2023.</p><p>There were 51 vireos banded before the 2023 breeding season that were resighted and identified at the Project Area in 2023. Two of these vireos were originally banded outside of the Project Area, at the Santa Margarita River on MCBCP. Adult birds of known age ranged from 1 to 7 years old. Between 2006 and 2023, survival of males (66±11 percent) was consistently higher than that of females (60±12 percent). First-year birds from 2006 to 2022 had an average annual survival of 15±5 percent.</p><p>First-year dispersal in 2023 averaged 20.2±31.3 kilometers (km), with the longest dispersal (76.3 km) by a female that was recaptured at Wolf Canyon, a tributary to Otay River. From 2007 to 2012, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, a greater proportion of returning birds dispersed to areas outside of the Project Area. From 2018 to 2022, the trend shifted, and more first-year vireos returned to the Project Area, except for 2022 when only one out of five first-year vireos returned to the Project Area. This trend continued in 2023: 71 percent of all first-year vireos returned to the Project Area, and 29 percent dispersed to areas outside of the Project Area (San Diego River and Wolf Canyon).</p><p>Most of the returning adult male vireos showed strong between-year fidelity to their previous territories. In 2023, 94 percent of males (34/36) occupied a territory that they had defended in 2022 (within 100 meters [m]). In 2023, 33 percent of females (1/3) detected returned to a territory they occupied in 2022. The average between-year movement for returning adult vireos was 0.2±0.9 km. The amount of treatment at adults’ 2022 territories did not affect the distance adults moved to their 2023 territories.</p><p>We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; hereinafter flycatcher) at the Project Area between May 15 and July 21, 2023. In 2023, four transient Willow Flycatchers were detected in the Project Area. Two transients were detected in Reach 1, one in Reach 3a, and one in Whelan Mitigation. No resident flycatchers were documented in the Project Area in 2023.</p><p>A total of 46 vegetation transects (516 points) were sampled in the Project Area in 2023. There were 71 percent (368/516) of points located in the Channel, and 22 percent (113/516) were in Upper Pond. The remaining 7 percent (35/516) of points were at the Whelan Restoration site. Foliage cover below 1 m was higher at the Channel points and Upper Pond compared to Whelan Restoration. From 1 to 3 m, foliage cover was similar at all 3 sites; however, above 3 m foliage cover was higher in the Channel compared to the Upper Pond and Whelan Restoration sites. Average canopy height was higher in the Channel (5.6±3.8 m) compared to Upper Pond (4.7±2.7 m) and Whelan Restoration (4.0±2.0 m). From 2006 to 2023, total foliage cover declined from 2 to 3 m and above 6 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. Although increases were observed at all height classes after 2016, percentage cover has remained below levels measured before 2009.</p><p>We sampled vegetation at 45 vireo nests and 45 random plots (territory plots) within territories in the Channel and Upper Pond after the 2023 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 7 m but less cover below 1 m relative to the available habitat. Within territories, Channel vireos selected nest sites largely at random, but with significantly less foliage cover from 4 to 5 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover below 4 m and from 5 to 6 m relative to available habitat. Within territories, Upper Pond vireos also selected nest sites at random except for a preference for sites with significantly less foliage cover below 1 m.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241040","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, A., Allen, L.D., Mendia, S.M., and Kus, B.E., 2024, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding activities and habitat use—2023 Annual report: U.S. Geological Survey Open-File Report 2024–1040, 77 p., https://doi.org/10.3133/ofr20241040.","productDescription":"x, 77 p.","numberOfPages":"77","onlineOnly":"Y","ipdsId":"IP-163418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":432608,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241040/full"},{"id":432607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1040/images"},{"id":432606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.xml"},{"id":432605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1040/covrthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257564,"text":"70257564 - 2024 - Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","interactions":[],"lastModifiedDate":"2024-09-09T17:11:00.235641","indexId":"70257564","displayToPublicDate":"2024-08-15T10:03:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","docAbstract":"Background. Autumn and winter Santa Ana Winds (SAW) are responsible for the largest and most destructive wildfires in southern California. Aims. 1) To contrast fires ignited on SAW days vs non-SAW days, 2) evaluate the predictive ability of the Canadian Fire Weather Index (CFWI) for these two fire types, and 3) determine climate and weather factors responsible for the largest wildfires. Methods. Cal Fire FRAP fire data were coupled with hourly climate data from 4 stations, and with regional indices of SAW wind speed, and with seasonal drought from the Palmer Drought Severity Index. Key results. Fires on non-SAW days were more numerous and burned more area, and were significant May to October. CFWI indices were tied to fire occurrence and size for both non-SAW and SAW days, and in the days following ignition. Multiple regression models for months with greatest area burned explained up to a quarter of variation in area burned. Conclusions. The drivers of fire size differ between non-SAW and SAW fires. The best predictor of fire size for non-SAW fires was drought during the prior five years, followed by current-year vapor pressure deficit. For SAW fires, wind speed followed by drought were most important.","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF23190","usgsCitation":"Keeley, J., Flannigan, M., Brown, T.J., Rolinski, T., Cayan, D., Syphard, A., Guzman-Morales, J., and Gershunov, A., 2024, Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires: International Journal of Wildland Fire, v. 33, WF23190, 16 p., https://doi.org/10.1071/WF23190.","productDescription":"WF23190, 16 p.","ipdsId":"IP-158752","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf23190","text":"Publisher Index Page"},{"id":433636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.89507141501502,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              35.25764436587998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flannigan, Michael","contributorId":343369,"corporation":false,"usgs":false,"family":"Flannigan","given":"Michael","affiliations":[{"id":64504,"text":"Thompson Rivers University","active":true,"usgs":false}],"preferred":false,"id":910845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Tim J.","contributorId":343370,"corporation":false,"usgs":false,"family":"Brown","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rolinski, Tom","contributorId":343372,"corporation":false,"usgs":false,"family":"Rolinski","given":"Tom","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":910848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Syphard, Alexandra D.","contributorId":298289,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra D.","affiliations":[{"id":38279,"text":"Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":910849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guzman-Morales, Janin","contributorId":343375,"corporation":false,"usgs":false,"family":"Guzman-Morales","given":"Janin","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":910850,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gershunov, Alexander","contributorId":261326,"corporation":false,"usgs":false,"family":"Gershunov","given":"Alexander","affiliations":[{"id":52819,"text":"Climate, Atmospheric Science and Physical Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA 92093, USA","active":true,"usgs":false}],"preferred":false,"id":910851,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257196,"text":"sir20245072 - 2024 - Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","interactions":[],"lastModifiedDate":"2024-08-15T14:58:29.532097","indexId":"sir20245072","displayToPublicDate":"2024-08-15T06:48:21","publicationYear":"2024","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":"2024-5072","displayTitle":"Water-Quality Constituent Concentrations and Loads Computed Using Real-Time Water-Quality Data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","title":"Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","docAbstract":"<p>Milford Lake, the largest reservoir by surface area in Kansas, has had confirmed harmful algal blooms every summer since reporting began in 2011, except 2018–19. Milford Lake has been listed as impaired and designated hypereutrophic under section 303(d) of the 1972 Clean Water Act. In 2014, the Kansas Department of Health and Environment established a total maximum daily load for eutrophication and dissolved oxygen impairments. In 2018, the Natural Resources Conservation Service funded the Regional Conservation Partnership Program for the Milford Lake Watershed to focus on best management practices in the Lower Republican River Basin. The U.S. Geological Survey, in cooperation with the Kansas Water Office, completed this study to assess and quantify water-quality constituent concentrations and loads for total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) using previously published models for the Republican River near Clay Center, Kansas (U.S. Geological Survey station 06856600), about 15 miles upstream from Milford Lake, during August 1, 2018, through July 31, 2023. TN, TP, and SS concentrations and loads were monitored because of their relation to water supply and water-quality issues in Milford Lake, including nutrient and sediment transport, taste-and-odor events, potentially toxic cyano-harmful algal bloom events, and subsequent downstream transport of contaminants. Data from this report can be used to evaluate changing conditions, provide science-based information for decision making, and help meet regulatory requirements.</p><p>The study mean annual loads for TN and TP were greater than the reported mean annual total maximum daily load and exceeded the watershed reduction goals as well as Kansas nonpoint source reduction goals defined by the Watershed Restoration and Protection Strategy for the Lower Republican watershed. TN and TP annual loads during 2019–20 were greater than the defined mean annual total maximum daily load. During 2022, TN and TP annual loads were less than the Kansas nonpoint source reduction goal and during 2023 were less than the watershed reduction goal. SS loads were less than the mean annual sedimentation rate computed from the total maximum daily load for the entirety of the study period, and the study mean annual load was 72 percent less than the designed annual reservoir sedimentation rate for Milford Lake.</p><p>Data collected during the study period represented a wide range of streamflow and water-quality conditions at the Clay Center site, ranging from low-flow with less frequent runoff during 2023 to high-flow with frequent runoff during 2018. Nutrient reduction goals were only met in the final 2 years of the study period when annual mean flow conditions were lower than normal, indicating that goals may be unattainable during average or high-flow conditions. In all years except 2019, the annual mean SS load was less than the 20-year sediment load reduction target. Although annual SS loads at the Clay Center site generally decreased over time, corresponding reductions in annual streamflow indicated that these reductions may primarily be related to less frequent runoff from the upstream basin. Continued water-quality monitoring and tracking of best management practices are necessary to understand the success of Regional Conservation Partnership Program efforts to reduce nutrient transport in the Milford Lake Watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245072","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., and Abel, J.R., 2024, Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023: U.S. Geological Survey Scientific Investigations Report 2024–5072, 21 p., https://doi.org/10.3133/sir20245072.","productDescription":"Report: v, 21 p.; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160554","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":432611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5072/coverthb.jpg"},{"id":432612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5072"},{"id":432613,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.XML"},{"id":432614,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5072/images/"},{"id":432615,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245072/full"},{"id":432616,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Clay Center, Republican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.25,\n              40\n            ],\n            [\n              -98.25,\n              39\n            ],\n            [\n              -96.5,\n              39\n            ],\n            [\n              -96.5,\n              40\n            ],\n            [\n              -98.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous and Discretely Monitored Water-Quality Variables</li><li>Computed Concentrations, Loads, and Comparison to Watershed Goals</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental data for discrete water-quality samples collected at the Republican River near Clay Center, Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abel, Justin R. 0000-0003-0191-8000 jabel@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-8000","contributorId":250679,"corporation":false,"usgs":true,"family":"Abel","given":"Justin","email":"jabel@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257747,"text":"70257747 - 2024 - Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","interactions":[],"lastModifiedDate":"2024-08-26T11:56:03.560648","indexId":"70257747","displayToPublicDate":"2024-08-14T06:53:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","docAbstract":"<div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Characterizing the population density of species is a central interest in ecology. Eastern North America is the global hotspot for biodiversity of plethodontid salamanders, an inconspicuous component of terrestrial vertebrate communities, and among the most widespread is the eastern red-backed salamander,<span>&nbsp;</span><i>Plethodon cinereus</i>. Previous work suggests population densities are high with significant geographic variation, but comparisons among locations are challenged by lack of standardization of methods and failure to accommodate imperfect detection. We present results from a large-scale research network that accounts for detection uncertainty using systematic survey protocols and robust statistical models. We analysed mark–recapture data from 18 study areas across much of the species range. Estimated salamander densities ranged from 1950 to 34 300 salamanders ha<sup>−1</sup>, with a median of 9965 salamanders ha<sup>−1</sup>. We compared these results to previous estimates for<span>&nbsp;</span><i>P. cinereus</i><span>&nbsp;</span>and other abundant terrestrial vertebrates. We demonstrate that overall the biomass of<span>&nbsp;</span><i>P. cinereus</i>, a secondary consumer, is of similar or greater magnitude to widespread primary consumers such as white-tailed deer (<i>Odocoileus virginianus</i>) and<span>&nbsp;</span><i>Peromyscus</i><span>&nbsp;</span>mice, and two to three orders of magnitude greater than common secondary consumer species. Our results add empirical evidence that<span>&nbsp;</span><i>P. cinereus</i>, and amphibians in general, are an outsized component of terrestrial vertebrate communities in temperate ecosystems.</p></div></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2024.0033","usgsCitation":"Campbell Grant, E.H., Fleming, J.E., Bastiaans, E., Brand, A., Brooks, J., Devlin, C., Epp, K., Evans, M., Fisher-Reid, M., Gratwicke, B., Grayson, K., Haydt, N., Hernandez-Pacheco, R., Hocking, D.J., Hyde, A., Losito, M., MacKnight, M., Matlaga, T., Mead, L., Munoz, D.J., Peterman, W.B., Puza, V., Shafer, C., Sterrett, S., Sutherland, C., Thompson, L.M., Warwick, A.R., Wright, A.D., Yurewicz, K., and Miller, D., 2024, Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests: Biology Letters, v. 20, no. 8, https://doi.org/10.1098/rsbl.2024.0033.","ipdsId":"IP-160646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2024.0033","text":"External Repository"},{"id":433152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastiaans, Elizabeth","contributorId":343640,"corporation":false,"usgs":false,"family":"Bastiaans","given":"Elizabeth","email":"","affiliations":[{"id":82135,"text":"Department of Biology, State University of New York - College at Oneonta,","active":true,"usgs":false}],"preferred":false,"id":911573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Jacey","contributorId":343641,"corporation":false,"usgs":false,"family":"Brooks","given":"Jacey","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devlin, Catherine","contributorId":343642,"corporation":false,"usgs":false,"family":"Devlin","given":"Catherine","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Epp, Kristen","contributorId":343643,"corporation":false,"usgs":false,"family":"Epp","given":"Kristen","email":"","affiliations":[{"id":82139,"text":"Department of Biology, Eastern Connecticut State University,","active":true,"usgs":false}],"preferred":false,"id":911577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Matt","contributorId":343644,"corporation":false,"usgs":false,"family":"Evans","given":"Matt","email":"","affiliations":[{"id":82140,"text":"National Zoo and Conservation Biology Institute, Department of Herpetology,","active":true,"usgs":false}],"preferred":false,"id":911578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher-Reid, M. 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W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":911600,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70257165,"text":"sir20245043 - 2024 - Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","interactions":[],"lastModifiedDate":"2024-08-21T18:00:17.340563","indexId":"sir20245043","displayToPublicDate":"2024-08-13T16:30:00","publicationYear":"2024","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":"2024-5043","displayTitle":"Wildland Fire Effects on Sediment, Salinity, and Selenium Yields in a Basin Underlain by Cretaceous Marine Shales near Rangely, Colorado","title":"Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","docAbstract":"<p>Understanding and quantifying soil erosion from rangelands is a high priority for land managers, especially in areas underlain by Cretaceous Mancos Shale, which is a natural source of sediment, salinity, and selenium to surface waters in many areas of western Colorado and eastern Utah. The purpose of this report is to present the results of a U.S. Geological Survey study that assessed sediment, salinity, and selenium yields after the Dead Dog wildfire (fire began June 11, 2017) in northwestern Colorado. Two methodologies were used to quantify erosion, with different data requirements and analytical complexity. The first approach was the use of a process-based erosion model, the Watershed Erosion Prediction Project, which uses inputs of climate, topography, vegetation, and soils data from existing datasets to predict erosion, making this approach easily extensible to other areas. The second approach required more complex data collection and was used to measure erosion and deposition by differencing digital elevation models created from uncrewed aerial vehicle imagery collected in 2016 (pre-fire) and 2021 (post-fire). Sediment, salinity, and selenium yields were calculated from the volumetric estimates of erosion from both methods, and a discussion of factors that may have contributed to overall findings, including vegetation, fire effects, and soil characteristics, is included.</p><p>The two approaches yielded different outputs. Results from the Watershed Erosion Prediction Project model indicated that almost no erosion occurred after the Dead Dog fire. However, morphological changes in the study basin after the Dead Dog fire were visible in the pre- and post-fire imagery and measured in the digital elevation model differencing technique, with net erosion occurring in channel and landscape extents, though calculated erosion rates and salinity and selenium yields were relatively small. Visible and measured morphological changes consisted primarily of incision and deposition within stream channels and rill incision and expansion on steeper slopes. Widespread sheet erosion was not evident. Much of the new erosion originated within, and immediately below, previously vegetated areas that were then burned by the wildfire. Greater erosion rates and salinity and selenium yields were measured in the channel extent relative to the landscape extent. Calculated erosion rates ranged from 0.24 to 0.45 megagrams per hectare per year. These results indicate that the Dead Dog fire resulted in increased erosion in the study basin, yet these effects were relatively small based on the overall magnitude of modeled and measured erosion from the Watershed Erosion Prediction Project and the digital elevation model differencing technique. Minimal erosion in the basin is likely due to local site characteristics typical of soils derived from Mancos Shale, including the presence of robust physical crusts and biological soil crusts, and limitations of the methods based on data availability. Focusing uncrewed aerial vehicle flights on key areas (individual steep slopes, high-intensity burn areas, specific stream reaches) could likely increase understanding of erosional process with less effort and error than doing landscape-level flights.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245043","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Day, N.K., Preston, T.M., and Longley, P.C., 2024, Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5043, 31 p., https://doi.org/10.3133/sir20245043.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-144341","costCenters":[{"id":191,"text":"Colorado Water Science 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data release","linkHelpText":"Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV"},{"id":432610,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.xml"},{"id":432609,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5043/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water/\" data-mce-href=\"https://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Approach and Methods </li><li>Assessment of Sediment, Salinity, and Selenium Yields</li><li>Synthesis of Results and Next Steps</li><li>Summary</li><li>Acknowledgments </li><li>References Cited</li></ul>","publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Natalie K. 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,{"id":70257042,"text":"sir20245022 - 2024 - Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","interactions":[],"lastModifiedDate":"2026-02-03T18:05:12.063702","indexId":"sir20245022","displayToPublicDate":"2024-08-13T11:55:00","publicationYear":"2024","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":"2024-5022","displayTitle":"Monitoring and Simulation of Hydrology, Suspended Sediment, and Nutrients in Selected Tributary Watersheds of Lake Erie, New York","title":"Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative, collected water-quality samples in nine selected New York tributaries to Lake Erie, computed estimates of suspended sediment and nutrient loads using the R scripting package rloadest and used the Soil and Water Assessment Tool (SWAT) to simulate hydrology and suspended sediment and nutrient loads from these tributaries. This project was undertaken to better understand the water quality of New York’s inputs into eastern Lake Erie.</p><p>Water-quality samples for suspended sediment, nitrogen, and phosphorus were collected at 19 sampling sites in the Lake Erie Basin in New York. Daily and monthly suspended sediment and nutrient loads were computed with regressions of streamflow and suspended sediment and nutrient concentrations using rloadest.</p><p>SWAT models of nine watersheds were created using publicly available data; and the loads calculated by rloadest. Twenty-six SWAT model scenarios were created to explore the effects that best management practices (BMPs; 21 scenarios), point source discharges (4 scenarios), and green infrastructure (1 scenario) can have on the water quality of the nine tributaries to Lake Erie. BMP scenarios for the watershed models included combinations of agricultural BMPs applied at varying implementation levels across the study watersheds, including cover crops, reduced tillage, nutrient management plans, and filter strips. The BMP scenarios showed small reductions of total nitrogen and total phosphorus. The scenarios have variable suspended sediment load results, with both increases and decreases of sediment modeled. The point source scenarios result in lower total phosphorus loads. The green infrastructure scenario shows only minimal reduction of suspended sediment and nutrient loads from the Buffalo River watershed but shows substantial reductions locally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245022","collaboration":"Prepared in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative","usgsCitation":"Merriman, K.R., Fisher, B.N., Nystrom, E.A., Bunch, A.R., Welk, R.J., and Kappel, W.M., 2024, Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York: U.S. Geological Survey Scientific Investigations Report 2024–5022, 152 p., https://doi.org/10.3133/sir20245022.","productDescription":"Report: xii, 152 p.; 2 Data 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and Validation</li><li>SWAT Model Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sensitivity Analysis of Soil and Water Assessment Tool Model Parameters</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263804,"text":"70263804 - 2024 - Fish size structures in lakes of the Lower Mississippi River floodplain","interactions":[],"lastModifiedDate":"2025-02-25T15:18:18.696211","indexId":"70263804","displayToPublicDate":"2024-08-13T09:13:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fish size structures in lakes of the Lower Mississippi River floodplain","docAbstract":"<ol class=\"\"><li>The Lower Mississippi River has a floodplain that includes &gt;1350 perennial lakes carved by shifts in river courses and other hydro-fluvial processes over eons. Notwithstanding their similar provenances, these waterbodies exhibit an immense variety of morphologies and successional stages that illustrate their natural trajectory from aquatic to forested wetlands. A result of this geographical, morphological and temporal diversity is dynamic and varied fish communities. We examined how size structures of fish communities in these floodplain lakes were associated with key in-lake and off-lake environmental drivers.</li><li>Fish lengths were collected with standardised procedures in a sample of 30 of these lakes to construct a lake-by-length group matrix. Likewise, in-lake and off-lake environmental descriptors were collected to construct a lake-by-covariate matrix. Distance-based linear models were used to assess associations between fish size structure and environmental descriptors.</li><li>Smaller fish were typically associated with increasing levels of turbidity, chlorophyll-<i>a</i>, phycocyanin and surrounding agriculture. Shallow, hypereutrophic floodplain lakes associated with agricultural landscapes and reduced connectivity experience harsh physicochemical environments. These conditions appeared to hinder the formation of sustained fish communities but may confer a survival advantage to juveniles or small short-lived species. Conversely, larger fish were associated with increasing lake depth, water clarity, connectivity, and extent of surrounding forests-wetlands. Enhanced stability and size structure were observed in communities residing in deeper and clearer lakes, suggesting that these conditions facilitated the development of longer-lived species spanning multiple age groups. The enhanced connectivity that facilitated this increased stability also permitted the presence of larger itinerant species.</li><li>Size-structure assessments can serve as a valuable ecological and biodiversity indicator in floodplain lakes.</li><li>Size-structure assessments could supplement and, depending on objectives, even supplant conventional taxonomic analyses, and enhance surveillance of this vast and important natural resource.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14313","usgsCitation":"Miranda, L.E., and Dembkowski, D., 2024, Fish size structures in lakes of the Lower Mississippi River floodplain: Freshwater Biology, v. 69, no. 10, p. 1390-1398, https://doi.org/10.1111/fwb.14313.","productDescription":"9 p.","startPage":"1390","endPage":"1398","ipdsId":"IP-161581","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ],\n            [\n              -90.97390221584965,\n              37.04144127940464\n            ],\n            [\n              -92.58621074174947,\n              33.10588945297861\n            ],\n            [\n              -92.45243908525825,\n              29.099651301594108\n            ],\n            [\n              -89.06436076922489,\n              29.11098036129748\n            ],\n            [\n              -89.09009988261171,\n              32.8776191962395\n            ],\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dembkowski, D.J.","contributorId":351300,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":928354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257296,"text":"70257296 - 2024 - Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-10-30T21:41:50.825406","indexId":"70257296","displayToPublicDate":"2024-08-13T06:49:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","docAbstract":"<p>Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to widespread debris flows in the watershed of Rito de los Frijoles. We differenced lidar Digital Elevation Models (DEMs) collected in 2010 and 2016 to map subwatersheds experiencing debris flows and changes in elevation of the trunk stream. Debris flow occurrence was well predicted by previous assessments of debris-flow hazard; debris flows occurred in 7 of 9 sub-basins where the debris-flow hazard was above 60% for the 25-year rainfall event, and in 0 of 21 basins where debris flow hazard was less than 60%. Debris flows resulted in fan deposition at the confluence with the trunk stream followed by transport during three documented floods. The bed of the 22 km trunk stream increased in elevation by a mean of 0.29 m, but the local change in thalweg elevation was controlled by inputs of water and sediment and longitudinal variation in gradient. Downstream of the mouths of tributaries with debris flows, the thalweg of the trunk stream rose as much as 2&nbsp;m. Downstream of the mouths of tributaries without debris flows the thalweg of the main stem degraded by as much as 2&nbsp;m, mobilizing sediment that was then deposited further downstream where the gradient of the trunk stream decreases. In conclusion, the transport of sediment generated by debris flows was predictably related to spatial variation in sediment supply, discharge and gradient.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5964","usgsCitation":"Friedman, J.M., Tillery, A.C., Alfieri, S.J., Skaggs, E.R., Shafroth, P., and Allen, C., 2024, Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA: Earth Surface Processes and Landforms, v. 49, no. 13, p. 4263-4274, https://doi.org/10.1002/esp.5964.","productDescription":"12 p.; Data Release","startPage":"4263","endPage":"4274","ipdsId":"IP-156621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":499236,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5964","text":"Publisher Index Page"},{"id":434915,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RFRU9T","text":"USGS data release","linkHelpText":"Elevation change in the watershed of Rito de los Frijoles, Bandelier National Monument, New Mexico from 2010 to 2016"},{"id":432752,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfieri, Samuel J.","contributorId":329742,"corporation":false,"usgs":false,"family":"Alfieri","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":909905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D.","contributorId":289211,"corporation":false,"usgs":false,"family":"Allen","given":"Craig D.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270090,"text":"70270090 - 2024 - Developing, testing, and communicating earthquake forecasts: Current practices and future directions","interactions":[],"lastModifiedDate":"2025-08-08T15:07:40.812629","indexId":"70270090","displayToPublicDate":"2024-08-13T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Developing, testing, and communicating earthquake forecasts: Current practices and future directions","docAbstract":"<p><span>While deterministically predicting the time and location of earthquakes remains impossible, earthquake forecasting models can provide estimates of the probabilities of earthquakes occurring within some region over time. To enable informed decision-making of civil protection, governmental agencies, or the public, Operational Earthquake Forecasting (OEF) systems aim to provide authoritative earthquake forecasts based on current earthquake activity in near-real time. Establishing OEF systems involves several nontrivial choices. This review captures the current state of OEF worldwide and analyzes expert recommendations on the development, testing, and communication of earthquake forecasts. An introductory summary of OEF-related research is followed by a description of OEF systems in Italy, New Zealand, and the United States. Combined, these two parts provide an informative and transparent snapshot of today's OEF landscape. In Section 4, we analyze the results of an expert elicitation that was conducted to seek guidance for the establishment of OEF systems. The elicitation identifies consensus and dissent on OEF issues among a non-representative group of 20 international earthquake forecasting experts. While the experts agree that communication products should be developed in collaboration with the forecast user groups, they disagree on whether forecasting models and testing methods should be user-dependent. No recommendations of strict model requirements could be elicited, but benchmark comparisons, prospective testing, reproducibility, and transparency are encouraged. Section 5 gives an outlook on the future of OEF. Besides covering recent research on earthquake forecasting model development and testing, upcoming OEF initiatives are described in the context of the expert elicitation findings.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000823","usgsCitation":"Mizrahi, L., Dallo, I., van der Elst, N., Christophersen, A., Spassiani, I., Werner, M.J., Iturrieta, P., Bayona, J., Iervolino, I., Schneider, M., Page, M.T., Zhuang, J., Herrmann, M., Michael, A.J., Falcone, G., Marzocchi, W., Rhoades, D.A., Gerstenberger, M., Gulia, L., Schorlemmer, D., Becker, J., Han, M., Kuratle, L., Marti, M., and Wiemer, S., 2024, Developing, testing, and communicating earthquake forecasts: Current practices and future directions: Reviews of Geophysics, v. 63, no. 3, e2023RG000823, 70 p., https://doi.org/10.1029/2023RG000823.","productDescription":"e2023RG000823, 70 p.","ipdsId":"IP-164941","costCenters":[{"id":237,"text":"Earthquake Science 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Zurich","active":true,"usgs":false}],"preferred":false,"id":945402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christophersen, Annemarie","contributorId":175090,"corporation":false,"usgs":false,"family":"Christophersen","given":"Annemarie","email":"","affiliations":[],"preferred":false,"id":945404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spassiani, Ilaria","contributorId":359435,"corporation":false,"usgs":false,"family":"Spassiani","given":"Ilaria","affiliations":[{"id":85810,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV),","active":true,"usgs":false}],"preferred":false,"id":945405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werner, Maximillian J.","contributorId":359436,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian","middleInitial":"J.","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iturrieta, Pablo","contributorId":359437,"corporation":false,"usgs":false,"family":"Iturrieta","given":"Pablo","affiliations":[{"id":85811,"text":"GFZ German Research Centre for Geosciences,","active":true,"usgs":false}],"preferred":false,"id":945407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bayona, Jose","contributorId":359438,"corporation":false,"usgs":false,"family":"Bayona","given":"Jose","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Iervolino, Iunio","contributorId":359439,"corporation":false,"usgs":false,"family":"Iervolino","given":"Iunio","affiliations":[{"id":85812,"text":"The University of Naples Federico II","active":true,"usgs":false}],"preferred":false,"id":945409,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945410,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945411,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuang, Jiancang","contributorId":359440,"corporation":false,"usgs":false,"family":"Zhuang","given":"Jiancang","affiliations":[{"id":85813,"text":"The Institute of Statistical Mathematics, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":945412,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Herrmann, Marcus","contributorId":359441,"corporation":false,"usgs":false,"family":"Herrmann","given":"Marcus","affiliations":[{"id":85812,"text":"The University of Naples Federico 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Warner","contributorId":172720,"corporation":false,"usgs":false,"family":"Marzocchi","given":"Warner","email":"","affiliations":[{"id":27090,"text":"INGV, Rome","active":true,"usgs":false}],"preferred":false,"id":945416,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rhoades, David A.","contributorId":238832,"corporation":false,"usgs":false,"family":"Rhoades","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":47796,"text":"GNS, New Zealand","active":true,"usgs":false}],"preferred":false,"id":945417,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gerstenberger, Matthew","contributorId":217542,"corporation":false,"usgs":false,"family":"Gerstenberger","given":"Matthew","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":945418,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gulia, Laura","contributorId":359442,"corporation":false,"usgs":false,"family":"Gulia","given":"Laura","affiliations":[{"id":36660,"text":"Università di Bologna","active":true,"usgs":false}],"preferred":false,"id":945419,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Schorlemmer, Danijel","contributorId":174003,"corporation":false,"usgs":false,"family":"Schorlemmer","given":"Danijel","email":"","affiliations":[{"id":27333,"text":"GFZ","active":true,"usgs":false}],"preferred":false,"id":945420,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Becker, Julia","contributorId":140797,"corporation":false,"usgs":false,"family":"Becker","given":"Julia","email":"","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":945421,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Han, Marta","contributorId":359443,"corporation":false,"usgs":false,"family":"Han","given":"Marta","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945422,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kuratle, Lorena","contributorId":359444,"corporation":false,"usgs":false,"family":"Kuratle","given":"Lorena","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945423,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Marti, Michele","contributorId":359445,"corporation":false,"usgs":false,"family":"Marti","given":"Michele","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945424,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Wiemer, Stefan","contributorId":205902,"corporation":false,"usgs":false,"family":"Wiemer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":945425,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70260465,"text":"70260465 - 2024 - Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","interactions":[],"lastModifiedDate":"2024-11-04T17:47:39.059629","indexId":"70260465","displayToPublicDate":"2024-08-12T11:41:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","docAbstract":"<p><span>Species occupying dryland river ecosystems often experience “boom-and-bust” demographic cycles that coincide with shifts in habitat availability. Knowing whether declines are within natural thresholds versus those caused by acute human disturbance is critical for managing protected species. We investigated temporal shifts in abundance and habitat use of an endangered population of the threespine stickleback&nbsp;</span><i>Gasterosteus aculeatus</i><span>&nbsp;in southern California, where a Mediterranean climate leads to ephemeral habitat in one of the regions' least hydrologically modified rivers, the Santa Clara River. We conducted population surveys over a period of below-average rainfall in the upper watershed in Soledad Canyon, with predefined reaches surveyed multiple times per year to capture different hydrologic conditions. Abundances were stable across years but varied significantly depending on location, with some reaches remaining dry and others drying seasonally to varying degrees. Occupancy models showed that the presence of stable perennial reaches, drying regime, and other site-specific factors were important predictors of habitat use, and that certain reaches may be key to ensuring source-sink dynamics as flow dissipates over the dry season. Low occupancy in two sections was driven by different predominant mechanisms, one by diel cycles of evapotranspiration and the other by cattails (</span><i>Typha</i><span>&nbsp;spp.), with both having greater effects during the hotter, drier parts of the year. As dryland river ecosystems are vulnerable to the effects of anthropogenic-induced climate change, this study demonstrates how temporal monitoring can delimit dry-state benchmarks for improving management interventions (i.e., translocation and habitat restoration) for protected species under conditions that are predicted to worsen in the coming years.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4211","usgsCitation":"Richmond, J.Q., Gould, P.R., Pareti, J., Aitken, A., Morrissette, E., Backlin, A.R., Dellith, C., and Fisher, R., 2024, Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 8, e4211, 13 p., https://doi.org/10.1002/aqc.4211.","productDescription":"e4211, 13 p.","ipdsId":"IP-166124","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":463600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Soledad Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pareti, Jennifer","contributorId":345858,"corporation":false,"usgs":false,"family":"Pareti","given":"Jennifer","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aitken, Andrew","contributorId":345859,"corporation":false,"usgs":false,"family":"Aitken","given":"Andrew","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrissette, Eric","contributorId":237012,"corporation":false,"usgs":false,"family":"Morrissette","given":"Eric","email":"","affiliations":[],"preferred":false,"id":917756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dellith, Chris","contributorId":139396,"corporation":false,"usgs":false,"family":"Dellith","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":917758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70256978,"text":"tm6A64 - 2024 - Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","interactions":[],"lastModifiedDate":"2024-08-12T15:36:25.638887","indexId":"tm6A64","displayToPublicDate":"2024-08-12T11:18:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A64","displayTitle":"Revision of ModelMuse to Support the Use of PEST Software With MODFLOW and SUTRA Models","title":"Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","docAbstract":"<h1>Executive Summary</h1><p>ModelMuse is a graphical user interface for several groundwater modeling programs. ModelMuse was updated to generate the input files for the parameter estimation software suite PEST. The software is used with MODFLOW or SUTRA models to run PEST-based parameter estimation and display the updated model inputs after parameter estimation. The PEST input files can also be used with the PEST++ version 5 software suite.</p><p>Parameter estimation typically requires defining the parameters being adjusted during calibration and observations for assessing calibration quality. After a parameter is defined in ModelMuse, it can be applied to all or part of a model dataset. Pilot points—a parameterization device that facilitates higher levels of parameterization—can be used to assign spatially variable distributions of model inputs. Parameters can be applied to temporally varying features, such as boundary conditions, by either applying them to all the values in a series in one step or by applying separate parameters to individual members of a series. ModelMuse allows the definition of many observation types from various model output files. For MODFLOW 6 and SUTRA models, new options were added to ModelMuse to allow it to display the changed input after parameter estimation is complete. For MODFLOW–2005 and MODFLOW–NWT models, ModelMuse can import an entire model for visualization. An example illustrates the use of PEST with a MODFLOW 6 model in ModelMuse.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A64","programNote":"Water Availability and Use Science Program","usgsCitation":"Winston, R.B., 2024, Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models: U.S. Geological Survey Techniques and Methods book 6, chap. A64, 56 p., https://doi.org/10.3133/tm6A64.","productDescription":"Report viii, 56 p.; Software Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497969,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P132ZP7T","text":"USGS data release","linkHelpText":"ModelMuse version 5.4"},{"id":432191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a64/coverthb.jpg"},{"id":432193,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm6A64/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"TM 6-A64 HTML"},{"id":432194,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 6-A64 XML"},{"id":432192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.pdf","text":"Report","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A64 PDF"},{"id":432195,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/06/a64/images/"},{"id":432196,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1AZMVXV","text":"USGS software release","linkHelpText":"- ModelMuse: A Graphical User Interface for Groundwater Models (version 5.3.0.0)"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\">Integrated Modeling and Prediction Division</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston VA, 20192</p><p>Email: <a href=\"mailto:modflow@usgs.gov\" data-mce-href=\"mailto:modflow@usgs.gov\">modflow@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Installing PEST</li><li>Using Parameters With Datasets</li><li>Using PEST Parameters With Model Features</li><li>PEST Calibration Observations</li><li>PEST Control Variables</li><li>Running PEST</li><li>Using SVD-Assist</li><li>Visualizing Residuals</li><li>Visualizing Modified Model Input</li><li>Limitations</li><li>Example</li><li>Summary</li><li>References Cited</li><li>Appendix 1. \"EnhancedTemplateProcessor\"</li><li>Appendix 2. \"Mf6ObsExtractor\"</li><li>Appendix 3. \"Mf2005ObsExtractor\"</li><li>Appendix 4. \"SutraObsExtractor\"</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-12","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":909055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70257555,"text":"70257555 - 2024 - Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","interactions":[],"lastModifiedDate":"2024-09-06T18:18:10.540344","indexId":"70257555","displayToPublicDate":"2024-08-12T11:04:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","docAbstract":"<p><span>Population genetic analysis of invasive populations can provide valuable insights into the source of introductions, pathways for expansion, and their demographic histories. Flathead catfish (</span><i>Pylodictis olivaris</i><span>) are a prolific invasive species with high fecundity, long-distance dispersal, and piscivorous feeding habits that can lead to declines in native fish populations. In this study, we analyse the genetics of invasive&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the Mid-Atlantic region to assess their connectivity and attempt to reconstruct the history of introduced populations. Based on an assessment across 13 microsatellite loci,&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna River system (</span><i>N</i><span> = 537), Schuylkill River (</span><i>N</i><span> = 33), and Delaware River (</span><i>N</i><span> = 1) have low genetic diversity (global&nbsp;</span><i>H</i><sub>obs</sub><span> = 0.504), although we detected no evidence of substantial inbreeding (</span><i>F</i><sub>IS</sub><span> = −0.083 to 0.022).&nbsp;</span><i>P. olivaris</i><span>&nbsp;from these different river systems were genetically distinct, suggesting separate introductions. However, population structure was much weaker within each river system and exhibited a pattern of high connectivity, with some evidence of isolation by distance.&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna and Schuylkill rivers showed evidence for recent genetic bottlenecks, and demographic models were consistent with historical records, which suggest that populations were established by recent founder events consisting of a small number of individuals. Our results show the risk posed by small introductions of&nbsp;</span><i>P. olivaris</i><span>, which can spread widely once a population is established, and highlight the importance of prevention and sensitive early detection methods to prevent the spread of&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the future.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15888","usgsCitation":"Waraniak, J., Eackles, M., Keagy, J., Smith, G., Schall, M., Stark, S., White, S.L., Kazyak, D.C., and Wagner, T., 2024, Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers: Journal of Fish Biology, 14 p., https://doi.org/10.1111/jfb.15888.","productDescription":"14 p.","ipdsId":"IP-164536","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.15888","text":"Publisher Index Page"},{"id":433579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey, Pennsylvania","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Waraniak, Justin","contributorId":343350,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S.","contributorId":343352,"corporation":false,"usgs":false,"family":"Eackles","given":"Michael S.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":910811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keagy, Jason","contributorId":343355,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":343358,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schall, Megan","contributorId":343361,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stark, Sydney","contributorId":343364,"corporation":false,"usgs":false,"family":"Stark","given":"Sydney","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910818,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257168,"text":"70257168 - 2024 - Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","interactions":[],"lastModifiedDate":"2024-10-30T21:45:30.268282","indexId":"70257168","displayToPublicDate":"2024-08-12T06:38:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","docAbstract":"<p>Quantifying the relative influence of factors and processes controlling riverine ecosystem function is essential to predicting future conditions under global change. Dissolved organic matter (DOM) is a fundamental component of riverine ecosystems that fuels microbial food webs, influences nutrient and light availability, and represents a significant carbon flux globally. The heterogeneous nature of DOM molecular composition and its propensity for interaction (i.e., functional diversity) can characterize riverine ecosystem function across spatiotemporal scales. To investigate fundamental drivers of DOM diversity, we collected seasonal water samples from 42 nested locations within five watersheds spanning multiple watershed sizes (~5 to 30,000 km2) across the United States. Patterns in DOM molecular richness, aromaticity, relative abundance of N-containing formulas, and putative biochemical transformations derived from high-resolution mass spectrometry were assessed across gradients of explanatory variables associated with watershed characteristics (e.g., watershed area, water residence time, land cover). We found that putative biochemical transformations were more strongly related to explanatory variables across watersheds than common bulk DOM parameters and that watershed area, surface water residence time and derived Damköhler numbers representing DOM reactivity timescales were strong predictors of DOM diversity. The data also indicate that catchment-specific land cover factors can significantly influence DOM diversity in diverging directions. Overall, the results highlight the importance of considering water residence time and land cover when interpreting longitudinal patterns in DOM chemistry and the continued challenge of identifying generalizable drivers that are transferable across watershed and regional scales for application in Earth system models. This work also introduces a Findable Accessible Interoperable Reusable (FAIR) dataset (&gt;300 samples) to the community for future syntheses.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-024-01169-5","usgsCitation":"Ryan, K.A., Garayburu-Caruso, V., Crump, B., Bambakidis, T., Raymond, P., Liu, S., and Stegen, J., 2024, Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds: Biogeochemistry, v. 167, p. 1203-1224, https://doi.org/10.1007/s10533-024-01169-5.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-162266","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":439221,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-024-01169-5","text":"Publisher Index Page"},{"id":432589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garayburu-Caruso, Vanessa","contributorId":342100,"corporation":false,"usgs":false,"family":"Garayburu-Caruso","given":"Vanessa","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crump, Byron","contributorId":342101,"corporation":false,"usgs":false,"family":"Crump","given":"Byron","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bambakidis, Ted","contributorId":342102,"corporation":false,"usgs":false,"family":"Bambakidis","given":"Ted","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":342103,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":909644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shaoda","contributorId":342106,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","affiliations":[{"id":81838,"text":"Bejing Normal University","active":true,"usgs":false}],"preferred":false,"id":909645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stegen, James","contributorId":342108,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909646,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257452,"text":"70257452 - 2024 - It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","interactions":[],"lastModifiedDate":"2024-09-23T16:24:43.833305","indexId":"70257452","displayToPublicDate":"2024-08-11T10:30:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","docAbstract":"<h3 id=\"tafs10471-sec-2001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Many mark–recapture models assume that releases and recaptures are discrete events, and researchers often aggregate continuous recapture data (e.g., passive integrated transponder [PIT] detections) into coarse temporal scales to satisfy this assumption. This temporal discretization could result in parameter biases by ignoring the individual heterogeneity in the time susceptible to mortality after recapture and the conditions experienced (e.g., temperature and predation risk) before and after recapture. Our objectives were to (1) estimate the amount of bias in survival and emigration rates due to different temporal discretization durations when recapture events occur continuously and (2) apply this semicontinuous model to estimate rates of early emigration and overwinter survival for Coho Salmon<span>&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;</span>in a coastal California watershed.</p><h3 id=\"tafs10471-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We developed a semicontinuous time multistate mark–recapture model to separately estimated emigration and survival rates throughout the year. We used weekly time-varying occasions paired with discrete spatial states and conducted extensive simulation trials to explore potential model bias. We then applied the model to an existing 4-year dataset of Coho Salmon PIT tag detections.</p><h3 id=\"tafs10471-sec-2003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Our simulations indicated that that the amount of bias in survival and movement rates decreased as the temporal discretization duration decreased. The confidence interval of the bias estimates included zero with a duration of 8 days, indicating that this duration was sufficiently short to model movement and survival. Results from our Coho Salmon analysis suggest that overwinter survival rate ranged from 0.72 to 0.83, which is higher than previous estimates for Coho Salmon in this region. We estimate that a substantial proportion of smaller juveniles (0.21–0.28 annually) move to downstream nonnatal rearing habitats before the spring smolt migration.</p><h3 id=\"tafs10471-sec-2004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our semicontinuous modeling approach can be implemented relatively easily and used to analyze continuous detection data to accurately estimate survival and movement rates. Our analysis of Coho Salmon PIT tag detections implies that previous low estimates of apparent overwinter survival of Coho Salmon were partially due to high movement rates to alternative rearing locations. This contrasts with conclusions from the previous research that suggested that overwinter survival was a major limiting factor for population recovery and implies that species recovery may be improved by considering multiple emigration patterns in the design of future research, monitoring, and restoration projects.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10471","usgsCitation":"Van Vleet, N.P., Ward, D., Som, N.A., Barton, D.C., Anderson, C., and Henderson, M., 2024, It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed: Transactions of the American Fisheries Society, v. 153, no. 5, p. 541-558, https://doi.org/10.1002/tafs.10471.","productDescription":"18 p.","startPage":"541","endPage":"558","ipdsId":"IP-155645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439222,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10471","text":"Publisher Index Page"},{"id":433668,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Freshwater Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Vleet, Nicholas P.","contributorId":342870,"corporation":false,"usgs":false,"family":"Van Vleet","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Darren","contributorId":342871,"corporation":false,"usgs":false,"family":"Ward","given":"Darren","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":910461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Daniel C.","contributorId":88221,"corporation":false,"usgs":true,"family":"Barton","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":910462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Colin","contributorId":342879,"corporation":false,"usgs":false,"family":"Anderson","given":"Colin","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":910464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257275,"text":"70257275 - 2024 - A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","interactions":[],"lastModifiedDate":"2024-09-11T16:23:57.562467","indexId":"70257275","displayToPublicDate":"2024-08-11T07:06:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Biologging is central to the study of wildlife, but questions remain about the minimization of effects of biologging devices. Rarely considered are changes biologging devices induce on an animal's centre of mass (COM) and resulting losses of flight control and stability.</li><li>We applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by the typical positioning of a biologging device on the neck, back, hips or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability.</li><li>Generic models illustrate a trade-off between the placement and mass of a biologging device that influences flight control and stability. Seven species-specific examples show the substantial differences in consequences of changes to COM for animals of different sizes and body types. Placement of a device on the tail always resulted in the greatest shift in COM and placement in the centre of the back resulted in the smallest shift. The 5% weight threshold some use for a biologging device provides little room for error in terms of stability and can easily cause dangerous changes to COM. The 3% weight threshold others use causes considerably smaller changes in the COM, but when placed away from the natural COM, still can affect flight control and stability.</li><li>Researchers interested in minimizing the effects to fitness of wildlife should consider weight, balance and COM when affixing biologging devices. The farther a device is from the natural COM, the smaller it should be relative to the mass of the animal.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14400","usgsCitation":"Katzner, T., and Young, G., 2024, A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats: Methods in Ecology and Evolution, v. 15, no. 9, p. 1553-1560, https://doi.org/10.1111/2041-210X.14400.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-162804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439223,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14400","text":"Publisher Index Page"},{"id":434918,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13SIMMI","text":"USGS data release","linkHelpText":"Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats"},{"id":432649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, George","contributorId":342227,"corporation":false,"usgs":false,"family":"Young","given":"George","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909824,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256592,"text":"70256592 - 2024 - In-situ valve opening response of eastern oysters to estuarine conditions","interactions":[],"lastModifiedDate":"2024-08-23T15:35:31.994064","indexId":"70256592","displayToPublicDate":"2024-08-09T10:23:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"In-situ valve opening response of eastern oysters to estuarine conditions","docAbstract":"<p><span>High-frequency recordings of valve opening behavior (VOB) in bivalves are often used to detect changes in environmental conditions. However, generally a single variable such as temperature or the presence of toxicants in the water is the focus. A description of routine VOB under non-stressful conditions is also important for interpreting responses to environmental changes. Here we present the first detailed quantitative investigation of the in-situ VOB of eastern oysters (</span><i>Crassostrea virginica</i><span>) to environmental variables typically not considered stressful. The VOB of eight individuals was monitored for seven weeks in a Louisiana estuary. We examined the relationships between VOB metrics (variance in mean % max opening among oysters, the probability of an oyster being closed, and the rate of valve closure), and temperature, salinity, chlorophyll-a (chl-a) concentration, the rate of change in those environmental variables, and the rate of change in water depth. Relationships were analyzed through statistical models including rates of change over 0, 0.25, 1-, 6-, 12-, and 24-hours. All the responses were best explained by the 12-hour time step model. The interaction effect between salinity and the rate of change of salinity had the greatest impact on variance in oysters’ behavior. Oysters closed faster at higher salinities and were more likely to be closed at lower chl-a concentrations. Significant interactions were found between many environmental variables, indicating a high level of complexity of oyster behavior in the natural environment. This study contributes to a better understanding of the impact of environmental conditions on oyster behavior and can help inform predictive tools for restoration initiatives and fisheries practices.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00227-024-04488-1","usgsCitation":"Lavaud, R., Archer, S.K., La Peyre, M., Campanino, F.M., Casas, S.M., and La Peyre, J., 2024, In-situ valve opening response of eastern oysters to estuarine conditions: Marine Biology, v. 171, 174, 16 p., https://doi.org/10.1007/s00227-024-04488-1.","productDescription":"174, 16 p.","ipdsId":"IP-159584","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439224,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-024-04488-1","text":"Publisher Index Page"},{"id":433102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Cocodrie","otherGeospatial":"Calcasieu Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.34617193921602,\n              30.068407744230996\n            ],\n            [\n              -93.35606344461247,\n              29.94670606331917\n            ],\n            [\n              -93.35045825822144,\n              29.901859839798448\n            ],\n            [\n              -93.44525185159969,\n              29.878295556083188\n            ],\n            [\n              -93.44113039101742,\n              29.8467304098334\n            ],\n            [\n              -93.38639739449258,\n              29.824421454254924\n            ],\n            [\n              -93.33529128328053,\n              29.832717112540085\n            ],\n            [\n 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Consortium","active":true,"usgs":false}],"preferred":false,"id":908184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campanino, Finella M.","contributorId":341283,"corporation":false,"usgs":false,"family":"Campanino","given":"Finella","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casas, Sandra M.","contributorId":341284,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Jerome F.","contributorId":341285,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","interactions":[{"subject":{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"70261584","publicationYear":"2024","noYear":false,"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"predicate":"SUPERSEDED_BY","object":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"id":1}],"supersededBy":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"lastModifiedDate":"2025-05-20T13:24:14.978891","indexId":"70261584","displayToPublicDate":"2024-08-09T08:50:10","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","docAbstract":"<p><span>Two eelgrass (</span><i>Zostera marina</i><span>) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.08.07.607047","usgsCitation":"Douglas, D.C., Fleming, M., Patil, V.P., and Ward, D.H., 2024, Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery: BioRxiv, https://doi.org/10.1101/2024.08.07.607047.","productDescription":"35 p.","ipdsId":"IP-168423","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466967,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.08.07.607047","text":"External Repository"},{"id":465143,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ],\n            [\n              -162.84978004715862,\n              55.18903118481694\n            ],\n            [\n              -162.68483234353056,\n              55.32568974463476\n            ],\n            [\n              -162.63354608309427,\n              55.35091614284903\n            ],\n            [\n              -162.5670125555805,\n              55.33988157021267\n            ],\n            [\n              -162.4880039916577,\n              55.3792766436201\n            ],\n            [\n              -162.49632068259703,\n              55.470522299013965\n            ],\n            [\n              -162.5891903980851,\n              55.45166118374158\n            ],\n            [\n              -162.78047428968748,\n              55.384001418091316\n            ],\n            [\n              -162.88304681127136,\n              55.3438228419308\n            ],\n            [\n              -163.03274724817751,\n              55.22383284787324\n            ],\n            [\n              -163.09789466053493,\n              55.170827297352844\n            ],\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":921108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Michael D.","contributorId":332620,"corporation":false,"usgs":false,"family":"Fleming","given":"Michael D.","affiliations":[{"id":79518,"text":"Images Unlimited","active":true,"usgs":false}],"preferred":false,"id":921109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":921110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":921111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264349,"text":"70264349 - 2024 - Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","interactions":[],"lastModifiedDate":"2025-03-12T13:55:43.660255","indexId":"70264349","displayToPublicDate":"2024-08-08T08:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","docAbstract":"<p><span>The geologic framework of the Seattle fault zone (SFZ) has been extensively studied, but the structure and fault strand locations in the central portion of the fault zone through the city of Seattle have remained controversial. Much of what is known about the SFZ has come from light detection and ranging (lidar)‐topographic surveys and paleoseismic investigations of fault scarps primarily west of Puget Sound, regional gravity and aeromagnetic modeling, and multiscale marine seismic imaging in waters both west and east of Seattle. We analyze ∼24&nbsp;km of land‐based&nbsp;</span><i>P</i><span>‐wave seismic‐reflection data that fill in a critical gap in our understanding of the SFZ beneath the urban areas of West Seattle, south‐central Seattle, and Mercer Island. These data image deformed strata in the upper 1&nbsp;km, including upwarped Tertiary rock and younger sediments. Collectively, these data provide evidence for multiple Quaternary‐active thrust faults, back thrusts, and sub‐basins within the SFZ beneath the city of Seattle. The results indicate that multiple and potentially active back thrusts in the upper ∼500&nbsp;m extend across the length of the SFZ and the entire urban corridor that may be analogous to those on Bainbridge Island west of Puget Sound.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230050","usgsCitation":"Stephenson, W.J., Odum, J.K., and Pratt, T.L., 2024, Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging: The Seismic Record, v. 4, no. 3, p. 184-193, https://doi.org/10.1785/0320230050.","productDescription":"10 p.","startPage":"184","endPage":"193","ipdsId":"IP-159620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230050","text":"Publisher Index Page"},{"id":483230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":930478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257062,"text":"70257062 - 2024 - Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","interactions":[],"lastModifiedDate":"2024-08-09T11:05:58.442724","indexId":"70257062","displayToPublicDate":"2024-08-08T06:00:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18327,"text":"Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology","active":true,"publicationSubtype":{"id":10}},"title":"Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0015\">The frequency of detection and concentrations of bifenthrin, a pyrethroid insecticide, in the waterways inhabited by the endangered species, steelhead trout (<i>Oncorhynchus mykiss</i>), has become a significant concern for regulatory agencies. Endocrine disruption has been observed with estrogenic and anti-estrogenic responses in fish species at different life stages. Since several studies have indicated alterations in dopaminergic signaling associated with endocrine responses, juvenile steelhead were exposed to environmentally relevant concentrations of 60 or 120&nbsp;ng/L bifenthrin for two weeks. Fish brains were assessed for dopamine levels and the expression of genes involved in dopaminergic and estrogenic processes, such as catechol-<i>o</i>-methyltransferase (<i>comt</i>) and monoamine oxidase (<i>mao</i>). Vitellogenin (<i>vtg</i>) and estrogenic receptors (<i>ERα1</i>,<span>&nbsp;</span><i>ERβ1</i>, and<span>&nbsp;</span><i>ERβ2</i>) were also evaluated in livers of the animals. Dopamine concentrations were significantly higher in fish brains following bifenthrin exposure. Consistent with a reduction in dopamine clearance, there was a significant decrease in the mRNA expression of<span>&nbsp;</span><i>comt</i><span>&nbsp;</span>with increased bifenthrin concentration. Hepatic expression of<span>&nbsp;</span><i>ERα1</i><span>&nbsp;</span>and<span>&nbsp;</span><i>ERβ2</i><span>&nbsp;</span>mRNA was significantly decreased with increased bifenthrin concentration. These data support the possible mechanism of bifenthrin altering the dopaminergic pathway at low ng/L concentrations, in juvenile steelhead, which could interfere with endocrine feedback loops. These findings support the need for and importance of identifying species and life stage differences in pesticide modes of action to reduce uncertainties in risk assessments.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cbpc.2024.109995","usgsCitation":"Magnuson, J.T., Sy, N.D., Tanabe, P., Ji, C., Gan, J., and Schlenk, D., 2024, Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin: Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, v. 285, 109995, 6 p., https://doi.org/10.1016/j.cbpc.2024.109995.","productDescription":"109995, 6 p.","ipdsId":"IP-162473","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cbpc.2024.109995","text":"Publisher Index Page"},{"id":432415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":909306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sy, Nathan D.","contributorId":341968,"corporation":false,"usgs":false,"family":"Sy","given":"Nathan","email":"","middleInitial":"D.","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanabe, Philip","contributorId":333579,"corporation":false,"usgs":false,"family":"Tanabe","given":"Philip","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":909308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, Chenyang","contributorId":341969,"corporation":false,"usgs":false,"family":"Ji","given":"Chenyang","email":"","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gan, Jay","contributorId":341971,"corporation":false,"usgs":false,"family":"Gan","given":"Jay","email":"","affiliations":[{"id":64621,"text":"University of California-Riverside","active":true,"usgs":false}],"preferred":false,"id":909310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":909311,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256920,"text":"ofr20241033 - 2024 - A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam","interactions":[],"lastModifiedDate":"2024-08-07T23:06:30.701527","indexId":"ofr20241033","displayToPublicDate":"2024-08-07T10:46:04","publicationYear":"2024","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":"2024-1033","displayTitle":"A Literature Review and Hypsometric Analysis to Support Decisions on Trout Management Flows on the Colorado River Downstream from Glen Canyon Dam","title":"A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam","docAbstract":"<h1>Executive Summary</h1><p>Fish stranding has been studied in select rivers worldwide, often with the purpose of determining how to mitigate adverse effects of dam operations on highly valued salmon and trout populations. However, where a reduction in trout population size is desired by resource managers, as is the case downstream of the Glen Canyon Dam on the Colorado River, flow manipulations termed trout management flows (TMFs) may be used to optimize fish stranding and mortality. To inform the design and implementation of potential future TMFs, we reviewed relevant literature to identify key factors that influence fish stranding. We found that key factors were highly interdependent and site-specific, but general trends suggest that down-ramping (decreasing flow) at rapid rates in daytime during the late spring to summer emergence period would lead to stranding of age-0 rainbow trout in shallow shoreline habitat. A hypsometric analysis was then used to predict stranding risk for age-0 rainbow trout in Glen Canyon for a range of TMFs, which incorporated existing bathymetric data and flow and habitat suitability models. Our results indicate that a TMF with a steady high flow ranging from 12,000 to 16,000 cubic feet per second (ft<sup>3</sup>/s) combined with a minimum flow ranging from 3,000 to 5,000 ft<sup>3</sup>/s may effectively strand age-0 fish while also minimizing risk to water storage in Lake Powell and other resources. This strategy implemented under normal hydropeaking operations was predicted to lead to a substantive stranding risk when paired with low flows of 5,000 ft<sup>3</sup>/s, and especially 3,000 ft<sup>3</sup>/s. However, there remains uncertainty associated with elements of implementing an effective TMF downstream from Glen Canyon Dam. The main uncertainties include (1) the down-ramp rate that maximizes stranding of age-0 trout, (2) the duration of drawdown to maximize stranding mortality while minimizing impact to downstream resources, (3) duration of high flows required for age-0 fish to colonize newly created shoreline habitat (this is only for certain TMF hydrographs), (4) number of repetitions of TMF cycles to minimize compensatory survival response, and (5) recruitment threshold of both rainbow and brown trout populations to trigger TMF implementation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241033","collaboration":"Prepared in cooperation with Ecometric Research Inc.","usgsCitation":"Giardina, M., Korman, J., Yard, M.D., Wright, S., Kaplinski, M., and Bennett, G., 2024, A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam: U.S. Geological Survey Open-File Report 2024–1033, 50 p., https://doi.org/10.3133/ofr20241033.","productDescription":"Report: viii, 50 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-133316","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":432181,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241033/full"},{"id":432178,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L1XEZO","text":"USGS Data Release","description":"Korman, J., Giardina, M.A., Yard, M.D., Wright, S.A., Kaplinski, M., and Bennett, G., 2024, Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ: U.S. Geological Survey data release, https://doi.org/10.5066/P9L1XEZO.","linkHelpText":"Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ"},{"id":432177,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432179,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.xml"},{"id":432180,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1033/images"},{"id":432176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1033/covrthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.636412112225,\n              36.82347668968964\n            ],\n            [\n              -111.44233548505323,\n              36.82347668968964\n            ],\n            [\n              -111.44233548505323,\n              36.96315377672772\n            ],\n            [\n              -111.636412112225,\n              36.96315377672772\n            ],\n            [\n              -111.636412112225,\n              36.82347668968964\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction</li><li>Literature Review</li><li>Hypsometric Analysis</li><li>Trout Management Flows Implementation and Considerations</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-08-07","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Giardina, Mariah","contributorId":341843,"corporation":false,"usgs":true,"family":"Giardina","given":"Mariah","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":909003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaplinski, Matthew A. 0000-0001-6232-8325","orcid":"https://orcid.org/0000-0001-6232-8325","contributorId":333646,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Glenn gbennett@usgs.gov","contributorId":292564,"corporation":false,"usgs":false,"family":"Bennett","given":"Glenn","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":909007,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270165,"text":"70270165 - 2024 - The 2023 Alaska National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2025-08-12T14:54:28.804879","indexId":"70270165","displayToPublicDate":"2024-08-07T07:48:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The 2023 Alaska National Seismic Hazard Model","docAbstract":"<p><span>US Geological Survey (USGS) National Seismic Hazard Models (NSHMs) are used extensively for seismic design regulations in the United States and earthquake scenario development, as well as risk assessment and mitigation for both buildings and infrastructure. This 2023 update of the long-term, time-independent Alaska NSHM includes substantial changes to both the earthquake rupture forecast (ERF) and ground motion models (GMMs). The ERF includes numerous additions to the finite-fault model, considers two deformation models, and introduces updated declustering and smoothing algorithms in the gridded background seismicity model. For the Alaska–Aleutian subduction zone, megathrust earthquakes occur on an updated structural and segmentation model, and the moment magnitude (M) 8+ rupture and rate model include a logic tree branch that considers slip rates derived from geodetic models of interface coupling. The megathrust model considers multiple models of down-dip width, and magnitudes are computed using newly developed scaling relations. For subduction intraslab events and subduction interface events with M &lt; 7, the 2023 update uses a smoothed seismicity model with rupture depths derived from Slab2. The 2023 model updates GMMs in all tectonic settings using the recently published Next Generation Attenuation Subduction (NGA-Sub) GMMs for subduction interface and intraslab events, and the NGA-West2 GMMs for active crustal settings. Collectively, additions and updates to the Alaska NSHM result in hazard increases across most of south-central Alaska relative to the previous model, published in 2007. These changes are primarily due to the adoption of updated rate models for the large-magnitude interface events and the NGA-Sub GMMs that have much higher aleatory variability (sigma), consistent with global observations, and that include models of epistemic uncertainty.</span></p>","language":"English","publisher":"SAGE Publications","doi":"10.1177/87552930241266741","usgsCitation":"Powers, P.M., Altekruse, J.M., Llenos, A.L., Michael, A.J., Haynie, K.L., Haeussler, P., Bender, A., Rezaeian, S., Moschetti, M.P., Smith, J.A., Briggs, R.W., Witter, R.C., Mueller, C., Zeng, Y., Girot, D.L., Herrick, J.A., Shumway, A., and Petersen, M.D., 2024, The 2023 Alaska National Seismic Hazard Model: Earthquake Spectra, v. 40, no. 4, p. 2545-2597, https://doi.org/10.1177/87552930241266741.","productDescription":"53 p.","startPage":"2545","endPage":"2597","ipdsId":"IP-155656","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / 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,{"id":70259194,"text":"70259194 - 2024 - Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome","interactions":[],"lastModifiedDate":"2024-10-03T15:59:21.385632","indexId":"70259194","displayToPublicDate":"2024-08-07T06:40:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><div id=\"sp0045\" class=\"u-margin-s-bottom\">Invasive annual grasses are often facilitated by fire, yet they can become ecologically dominant in susceptible locations even in the absence of fire. We used an extensive vegetation plot database to model susceptibility to the invasive annual grass cheatgrass (<i>Bromus tectorum</i><span>&nbsp;</span>L.) in the sagebrush biome as a function of climate and soil water availability variables. We built random forest models predicting cheatgrass presence or dominance (greater than 15 % relative cover) under unburned (37,219 plots) and burned conditions (6340 plots). We mapped predicted probability of cheatgrass presence and dominance, conditional on burning. We combined predicted susceptibility with burn probability to quantify the 10-year total risk of cheatgrass dominance. Finally, we identified portions of the landscape (1) at risk of fire-induced conversion to cheatgrass dominance, (2) consistently susceptible to cheatgrass dominance, or (3) consistently resistant to cheatgrass dominance. At the scale of the sagebrush biome, we found that abiotic susceptibility to cheatgrass dominance drives total risk, regardless of fire. At local scales (i.e., individual 30 m pixels), burning increased the probability of cheatgrass dominance by a median of 14 %. Threshold-based analyses indicate that 10–31 % of the sagebrush biome was at risk of fire-induced dominance, with 55 % exhibiting abiotic resistance and 5 % exhibiting abiotic susceptibility to dominance regardless of fire. Burn probability was higher in areas predicted to be susceptible to dominance, illustrating how cheatgrass invasion can cause ecosystem conversions that are then sustained by grass-fire cycles. Disentangling the influence of abiotic conditions and fire contributes to our understanding of the mechanisms driving invasion dynamics, and modeling the probability of dominance can help anticipate where ecological transformations are at risk of occurring. Our approach can facilitate the prioritization of management actions in the sagebrush biome and be used as a framework for modeling invasion risk in other disturbance-prone ecosystems.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110737","usgsCitation":"Urza, A.K., Board, D.I., Bradford, J., Brown, J.L., Chambers, D.R., Schlaepfer, D.R., and Short, K.C., 2024, Disentangling drivers of annual grass invasion: Abiotic susceptibility vs. fire-induced conversion to cheatgrass dominance in the sagebrush biome: Biological Conservation, v. 297, 110737, 14 p., https://doi.org/10.1016/j.biocon.2024.110737.","productDescription":"110737, 14 p.","ipdsId":"IP-163547","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466970,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110737","text":"Publisher Index Page"},{"id":462431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.38170765935128,\n              49.047724062278405\n            ],\n            [\n              -120.32300963112243,\n              34.387472184773415\n            ],\n            [\n              -103.22828306862252,\n              34.387472184773415\n            ],\n            [\n              -103.0521889839356,\n              49.04575364957779\n            ],\n            [\n              -120.38170765935128,\n              49.047724062278405\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":914454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Board, David I.","contributorId":261260,"corporation":false,"usgs":false,"family":"Board","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":914455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":914457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chambers, Daniel R. 0000-0003-3111-269X","orcid":"https://orcid.org/0000-0003-3111-269X","contributorId":344664,"corporation":false,"usgs":false,"family":"Chambers","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":914458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Short, Karen C.","contributorId":335894,"corporation":false,"usgs":false,"family":"Short","given":"Karen","email":"","middleInitial":"C.","affiliations":[{"id":80571,"text":"U.S. Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 W Broadway Street, Missoula, Montana 59808, USA","active":true,"usgs":false}],"preferred":false,"id":914460,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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