{"pageNumber":"42","pageRowStart":"1025","pageSize":"25","recordCount":68803,"records":[{"id":70261366,"text":"70261366 - 2025 - The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","interactions":[],"lastModifiedDate":"2024-12-12T16:08:12.325121","indexId":"70261366","displayToPublicDate":"2024-12-03T09:01:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\"><span>Estimates of annual maximum (peak) flow quantiles are needed for basins undergoing changes in both urbanization and climate. Most previous work on the effect of urbanization on peak flows has considered urbanization alone and only the spatial variation in flood quantiles or its mean temporal effect, and most work on the effect of nonstationarity in climate has focused on single-station analyses, which give uncertain results for extreme quantiles. To address these gaps, three approaches to the statistical estimation of the joint effects of changes in impervious cover and climate on the estimation of peak-flow quantiles were compared: single-station quantile regression; a fixed effect panel-quantile regression (pQR) method using a location (mean) shift to homogenize the panel; and a location-scale panel regression model (pQRmom), which accounts for both scale (variance) and location effects. The different approaches were applied to a dataset consisting of instantaneous annual peak flows from 127 minimally nested basins in the midwestern United States with at least 4&nbsp;% change in imperviousness. The annual maximum daily discharge from a water-balance model was selected as the primary climate predictor; in addition, to provide a comparison of climate predictors, precipitation was also considered. The coefficients from single-station regressions were usually sufficiently certain to determine the effects of climate variation but usually too uncertain to estimate the effects of urbanization. The panel-quantile regression approaches give much more certain results, but their estimates of quantile dependence differ: although both indicate urbanization effects decreasing with decreasing annual exceedance probability (AEP), the pQRmom urbanization coefficients are insignificantly different from zero for AEPs less than 0.10, whereas the pQR coefficients remain positive and are significant except for AEP = 0.01, the smallest AEP value considered. Although the location-scale structure of the pQRmom approach has less flexible quantile dependence than the pQR approach, the pQRmom approach has somewhat lower overall error, and it is found that by subsetting the dataset to homogenize the scale effects, the pQR and pQRmom results become similar, indicating the insignificant urbanization coefficients for small AEPs of the pQRmom results are likely correct for the study dataset.</span></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.jhydrol.2024.132281","usgsCitation":"Over, T.M., Marti, M.K., Ortiz, J., and Podzorski, H.L., 2025, The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches: Journal of Hydrology, v. 648, 132281, 21 p., https://doi.org/10.1016/j.jhydrol.2024.132281.","productDescription":"132281, 21 p.","ipdsId":"IP-164495","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466683,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132281","text":"Publisher Index Page"},{"id":466451,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZNSQSG","text":"USGS data release","linkHelpText":"Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods"},{"id":464884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.21401187752082,\n              41.78478885015073\n            ],\n            [\n              -82.44260111092109,\n              42.952139162504125\n            ],\n            [\n              -88.01051518909618,\n              44.68660103178678\n            ],\n            [\n              -93.48272842206053,\n              44.8681458501853\n            ],\n            [\n              -94.84496451109821,\n              39.9280811992401\n            ],\n            [\n              -94.63808877858959,\n              38.82734242417379\n            ],\n            [\n              -94.39334578416593,\n              35.82967467856777\n            ],\n            [\n              -89.47117528725998,\n              38.20831794765212\n            ],\n            [\n              -83.21401187752082,\n              41.78478885015073\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Jaqueline 0000-0001-7992-385X","orcid":"https://orcid.org/0000-0001-7992-385X","contributorId":304557,"corporation":false,"usgs":true,"family":"Ortiz","given":"Jaqueline","email":"","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262468,"text":"70262468 - 2025 - State shifts in the deep Critical Zone drive landscape evolution in volcanic terrains","interactions":[],"lastModifiedDate":"2025-01-17T16:59:40.446233","indexId":"70262468","displayToPublicDate":"2024-12-02T10:42:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"State shifts in the deep Critical Zone drive landscape evolution in volcanic terrains","docAbstract":"<p>Understanding the near-surface environment where atmospheric and solid earth processes interact, often termed the “Critical Zone,” is important for assessing resources and building resilient societies. Here, we examine a volcanic landscape in the Oregon Cascade Range, an understudied Critical Zone setting that is host to major regional water resources, pervasive silicate weathering, and significant geohazards. We leverage a bedrock age chronosequence to show that the volcanic Critical Zone undergoes a structural shift, from depth extents of &gt;1 km to meters, over timescales of ~1 My. We map an active groundwater volume comparable to major continental lakes, stored at the Cascade Range crest. This state shift makes volcanic landscape evolution a unique probe of deep coupling between Earth systems.</p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2415155122","usgsCitation":"Karlstrom, L., Klema, N., Grant, G., Finn, C., Sullivan, P.L., Cooley, S., Simpson, A., Fasth, B., Cashman, K., Ferrier, K., Ball, L.B., and McKay, D., 2025, State shifts in the deep Critical Zone drive landscape evolution in volcanic terrains: PNAS, v. 122, no. 2, e2415155122, 9 p., https://doi.org/10.1073/pnas.2415155122.","productDescription":"e2415155122, 9 p.","ipdsId":"IP-169317","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2415155122","text":"Publisher Index Page"},{"id":480753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Karlstrom, Leif","contributorId":265509,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klema, Nathaniel","contributorId":349383,"corporation":false,"usgs":false,"family":"Klema","given":"Nathaniel","affiliations":[{"id":49196,"text":"Fort Lewis College","active":true,"usgs":false}],"preferred":false,"id":924277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":924278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":924279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Pamela L.","contributorId":107605,"corporation":false,"usgs":true,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":924281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooley, Sarah","contributorId":349565,"corporation":false,"usgs":false,"family":"Cooley","given":"Sarah","affiliations":[],"preferred":false,"id":924438,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simpson, Alex","contributorId":349388,"corporation":false,"usgs":false,"family":"Simpson","given":"Alex","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924282,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fasth, Becky","contributorId":349390,"corporation":false,"usgs":false,"family":"Fasth","given":"Becky","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924283,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cashman, Katherine","contributorId":349391,"corporation":false,"usgs":false,"family":"Cashman","given":"Katherine","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924284,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferrier, Ken","contributorId":349393,"corporation":false,"usgs":false,"family":"Ferrier","given":"Ken","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":924285,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":924286,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McKay, Daniele","contributorId":349395,"corporation":false,"usgs":false,"family":"McKay","given":"Daniele","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924287,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70264674,"text":"70264674 - 2025 - Deterministic, dynamic model forecasts of storm-driven coastal erosion","interactions":[],"lastModifiedDate":"2025-04-17T15:41:02.628607","indexId":"70264674","displayToPublicDate":"2024-12-02T10:02:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Deterministic, dynamic model forecasts of storm-driven coastal erosion","docAbstract":"<p><span>The U.S. Atlantic and Gulf of Mexico coasts are vulnerable to storms, which can cause significant erosion of beaches and dunes that protect coastal communities. Real-time forecasts of storm-driven erosion are useful for decision support, but they are limited due to demands for computational resources and uncertainties in dynamic coastal systems and storm forcings. Current methods for coastal change forecasts are based on empirical calculations for wave run-up and conceptual models for erosion, which do not represent sediment transport and morphological change during the storm. However, with continued advancements in high-resolution geospatial data and computational efficiencies, there is an opportunity to apply morphodynamic models for forecasts of beach and dune erosion as a storm approaches the coast. In this study, we implement a forecast system based on a deterministic, dynamic model. The morphodynamic model is initialized with digital elevation models of the most up-to-date conditions and forced with hydrodynamics from wave and circulation model forecasts, and its predictions are categorized based on impact to the primary dune, defined in this study as the first ridge of sand landward of the beach. Results are compared spatially to the observed post-storm topography using changes to dune crest elevations and volumes, and temporally to the predicted total water level at the forecasted moment of dune impact.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-024-07012-2","usgsCitation":"Gorski, J., Dietrich, J., Passeri, D., Mickey, R.C., and Luettich, R., 2025, Deterministic, dynamic model forecasts of storm-driven coastal erosion: Natural Hazards, v. 121, p. 6257-6283, https://doi.org/10.1007/s11069-024-07012-2.","productDescription":"27 p.","startPage":"6257","endPage":"6283","ipdsId":"IP-164060","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":483528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88,\n              35\n            ],\n            [\n              -88,\n              24\n            ],\n            [\n              -76,\n              24\n            ],\n            [\n              -76,\n              35\n            ],\n            [\n              -88,\n              35\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"121","noUsgsAuthors":false,"publicationDate":"2024-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Jessica Frances 0000-0003-3476-8846","orcid":"https://orcid.org/0000-0003-3476-8846","contributorId":352431,"corporation":false,"usgs":true,"family":"Gorski","given":"Jessica Frances","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, Joel C. 0000-0001-5294-2874","orcid":"https://orcid.org/0000-0001-5294-2874","contributorId":352432,"corporation":false,"usgs":false,"family":"Dietrich","given":"Joel C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":931228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luettich, Rick A. Jr. 0000-0002-7625-1952","orcid":"https://orcid.org/0000-0002-7625-1952","contributorId":352433,"corporation":false,"usgs":false,"family":"Luettich","given":"Rick A.","suffix":"Jr.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":931231,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262122,"text":"70262122 - 2025 - Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management","interactions":[],"lastModifiedDate":"2025-01-14T15:28:24.606373","indexId":"70262122","displayToPublicDate":"2024-12-02T08:20:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management","docAbstract":"<p><span>Degraded physical habitat is a common stressor affecting river ecosystems and typically addressed in the United States (US) through a regulatory focus on sediment. However, a narrow regulatory focus on sediment may overlook other aspects of physical habitat and the processes for its creation, maintenance, and degradation. In addition, there exist few “ready-to-use” regional assessments of the multiple dimensions of physical habitat to better understand continuous patterns of condition and prioritize management efforts across a large spatial scale.</span></p><p><span>In this study, we use rapid habitat monitoring data to train a machine-learning (<i>i.e.,</i>&nbsp;random forest) model to predict twelve physical habitat metrics for nearly 120,000&nbsp;km of nontidal rivers and streams across the Chesapeake Bay watershed, US. We capture a range of habitat conditions driven by both natural variables and anthropogenic pressures. Covariation among habitat metrics indicated two major dimensions of habitat variation: 1) coarse bed substrate and hydromorphic heterogeneity and 2) bank stability and riparian condition. The model predicted localized changes from 2001 to 2019, and the predicted areas of deterioration roughly balanced improvements across the watershed, indicating little progress towards long-term watershed management goals.</span></p><p><span>To evaluate connections to regulatory and management endpoints, we compared our physical habitat predictions to paired estimates of sediment and flow alteration across the region. Sediment concentrations were greater in reaches with less bank stability and lower riparian quality; however, the relation was weak for coarse bed condition metrics, including embeddedness, which is frequently used for establishing regulatory sediment restrictions. For flow alteration, most habitat metrics had lower scores with altered flow metrics, but metrics of instream habitat heterogeneity and coarse substrate condition were most strongly affected. Increased flashy, high flows negatively affected most metrics, but coarse substrate metrics were also negatively affected by greater low flow severity.</span></p><p><span>This study highlights a potential disconnect between a narrow focus on regulatory sediment targets given the multiple dimensions and responses of physical habitat. A more holistic approach to physical habitat in management interventions – one that considers hydromorphic processes, diversity and variability in microhabitats, and explicit consideration of alterations to both low and high flows – may be warranted. By providing direct estimates of multiple aspects of physical habitat, this model can help support managers in the Chesapeake Bay watershed to better understand the range of habitat conditions, identify high-quality reaches for conservation, and target potential management actions tailored to localized conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2024.123139","usgsCitation":"Cashman, M.J., Lee, G., Staub, L.E., Katoski, M.P., and Maloney, K.O., 2025, Physical habitat is more than a sediment issue: A multi-dimensional habitat assessment indicates new approaches for river management: Journal of Environmental Management, v. 371, 123139, 19 p., https://doi.org/10.1016/j.jenvman.2024.123139.","productDescription":"123139, 19 p.","ipdsId":"IP-157208","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2024.123139","text":"Publisher Index Page"},{"id":466215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New York, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.03127676890098,\n              42.79659858105208\n            ],\n            [\n              -77.03127676890098,\n              36.869492666020236\n            ],\n            [\n              -75.61615482325107,\n              36.869492666020236\n            ],\n            [\n              -75.61615482325107,\n              42.79659858105208\n            ],\n            [\n              -77.03127676890098,\n              42.79659858105208\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"371","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Gina 0009-0009-9821-9492","orcid":"https://orcid.org/0009-0009-9821-9492","contributorId":345186,"corporation":false,"usgs":false,"family":"Lee","given":"Gina","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":923159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staub, Leah Ellen 0000-0002-1460-6084","orcid":"https://orcid.org/0000-0002-1460-6084","contributorId":299035,"corporation":false,"usgs":true,"family":"Staub","given":"Leah","email":"","middleInitial":"Ellen","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katoski, Michelle P. 0000-0001-5550-0705","orcid":"https://orcid.org/0000-0001-5550-0705","contributorId":300555,"corporation":false,"usgs":true,"family":"Katoski","given":"Michelle","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":923162,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261387,"text":"70261387 - 2025 - Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone","interactions":[],"lastModifiedDate":"2024-12-06T15:20:32.157193","indexId":"70261387","displayToPublicDate":"2024-11-30T09:09:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone","docAbstract":"<p><span>The phase-averaged and depth-integrated coastal morphodynamic model, XBeach-Surfbeat, was investigated for its capability of predicting the cross-shore hydrodynamics and morphodynamics in the inner surf zone by simulating the storm-induced berm erosion, sediment transport, and subsequent sand bar formation. By utilizing a comprehensive hydrodynamic and morphodynamic dataset measured in a large wave flume and high-fidelity 3D large-eddy simulation (LES) data, a rigorous model validation was conducted to assess its capability in predicting inner-surf zone hydrodynamics and to explore how the improved hydrodynamic performance impacts the predicted morphodynamics. Using the default model parameters of the model, the undertow was overestimated with the peak magnitude being 30%–35% larger in the inner surf zone. Combining Monte Carlo simulation, the optimum hydrodynamic calibration for the simulated undertow was achieved when the roller energy dissipation parameter (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>&amp;#x3B2;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>)</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\"><i>β</i>)</span></span></span><span>&nbsp;was maintained below 0.1, and the threshold water depth (</span><i><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>h</mi><mi mathvariant=&quot;italic&quot; is=&quot;true&quot;>min</mi></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">h<sub>min</sub></span></span></span></i><span>) exceeded 0.25&nbsp;m. The calibrated undertow improved the morphodynamic predictions by reducing the excessive berm erosion (Event I) and sand bar growth in the inner surf zone (Event II). Further improved morphodynamic predictions were achieved by calibrating sediment transport parameters, including the onshore sediment transport coefficient (</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>&amp;#x3B3;</mi><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>u</mi><mi is=&quot;true&quot;>a</mi></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">γua</span></span></span><span>) and the bore interval coefficient (</span><i><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>T</mi><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>b</mi><mi is=&quot;true&quot;>f</mi><mi is=&quot;true&quot;>a</mi><mi is=&quot;true&quot;>c</mi></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">T<sub>bfac</sub></span></span></span></i><span>) associated with turbulence-bed interaction. A consistent set of optimized model coefficients for the model is shown to be effective in simulating the entire erosive event (combined Events I and II). This study reveals that further improvement of the model's capability may require incorporating new parameterizations and physics, such as wave-breaking-induced turbulence and wave nonlinearity associated with sediment transport in the inner surf and swash zones.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2024.104662","usgsCitation":"Zhang, J., Tsai, B., Rafati, Y., Hsu, T., and Puleo, J.A., 2025, Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone: Coastal Engineering, v. 196, 104662, 14 p., https://doi.org/10.1016/j.coastaleng.2024.104662.","productDescription":"104662, 14 p.","ipdsId":"IP-164490","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2024.104662","text":"Publisher Index Page"},{"id":464886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Jiaye","contributorId":346982,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaye","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Benjamin 0000-0002-2176-9295","orcid":"https://orcid.org/0000-0002-2176-9295","contributorId":344670,"corporation":false,"usgs":true,"family":"Tsai","given":"Benjamin","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":920461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rafati, Yashar","contributorId":223049,"corporation":false,"usgs":false,"family":"Rafati","given":"Yashar","email":"","affiliations":[],"preferred":false,"id":920462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsu, Tian-Jian 0000-0002-8473-3441","orcid":"https://orcid.org/0000-0002-8473-3441","contributorId":344671,"corporation":false,"usgs":false,"family":"Hsu","given":"Tian-Jian","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puleo, Jack A. 0000-0002-2889-5956","orcid":"https://orcid.org/0000-0002-2889-5956","contributorId":344679,"corporation":false,"usgs":false,"family":"Puleo","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920464,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263161,"text":"70263161 - 2025 - Identifying priority science information needs for managing public lands","interactions":[],"lastModifiedDate":"2025-03-11T14:56:42.983038","indexId":"70263161","displayToPublicDate":"2024-11-28T08:47:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying priority science information needs for managing public lands","docAbstract":"<p><span>Public lands worldwide provide diverse resources, uses, and values, ranging from wilderness to extractive uses. Decision-making on public lands is complex as a result and is required by law to be informed by science. However, public land managers may not always have the science they need. We developed a methodology for identifying priority science needs for public land management agencies. We relied on two core data sources: environmental effects analyses conducted for agency decisions and legal challenges to those decisions. We considered needs in four categories: data, science, methods, and mitigation measures. We classified topics as primary science needs when (1) the topic was analyzed frequently in agency environmental analyses, (2) our metric of quality/defensibility was low or mitigation measures were frequently included for the topic, and (3) the agency was challenged on its use of science for the topic. We applied our methodology to the Bureau of Land Management—the largest public land manager in the United States—in Colorado, a state with abundant and diverse public lands. Primary identified needs were data on vegetation; science about effects of oil and gas development and livestock grazing on multiple resources, including terrestrial wildlife; methods for analyzing environmental effects for many topics; and mitigation measures for protecting vegetation, soils, water quality, and archaeological and historic resources. Science needs often reflect needs for facilitating and supporting the use of existing science in agency decision-making. Our method can be applied across agencies, geographies, and timeframes to help strengthen science use in public lands decision-making.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-024-02080-3","usgsCitation":"Carter, S.K., Haby, T., Samuel, E.M., Foster, A., Meineke, J., McCall, L., Burton, M., Domschke, C., Espy, L., and Gilbert, M., 2025, Identifying priority science information needs for managing public lands: Environmental Management, v. 75, p. 444-463, https://doi.org/10.1007/s00267-024-02080-3.","productDescription":"20 p.","startPage":"444","endPage":"463","ipdsId":"IP-151598","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487607,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-024-02080-3","text":"Publisher Index Page"},{"id":481495,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","noUsgsAuthors":false,"publicationDate":"2024-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haby, Travis","contributorId":202409,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","affiliations":[{"id":36421,"text":"Bureau of Land Management National Operations Center","active":true,"usgs":false}],"preferred":false,"id":925707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Ella M. 0000-0001-5085-7369","orcid":"https://orcid.org/0000-0001-5085-7369","contributorId":300515,"corporation":false,"usgs":true,"family":"Samuel","given":"Ella","email":"","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":true,"id":925708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":331240,"corporation":false,"usgs":false,"family":"Foster","given":"Alison C.","affiliations":[{"id":79166,"text":"USGS, currently US Forest Service","active":true,"usgs":false}],"preferred":false,"id":925709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meineke, Jennifer K. 0000-0002-7136-5854","orcid":"https://orcid.org/0000-0002-7136-5854","contributorId":331238,"corporation":false,"usgs":false,"family":"Meineke","given":"Jennifer K.","affiliations":[{"id":79165,"text":"USGS, currently with Colorado State University","active":true,"usgs":false}],"preferred":false,"id":925710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCall, Laine E. 0000-0003-2624-8453","orcid":"https://orcid.org/0000-0003-2624-8453","contributorId":336893,"corporation":false,"usgs":false,"family":"McCall","given":"Laine E.","affiliations":[{"id":80900,"text":"Student Contractor, U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":925711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burton, Malia","contributorId":350331,"corporation":false,"usgs":false,"family":"Burton","given":"Malia","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925712,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Domschke, Chris","contributorId":267281,"corporation":false,"usgs":false,"family":"Domschke","given":"Chris","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Espy, Leigh","contributorId":329383,"corporation":false,"usgs":false,"family":"Espy","given":"Leigh","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925714,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gilbert, Megan A.","contributorId":329384,"corporation":false,"usgs":false,"family":"Gilbert","given":"Megan A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925715,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70261572,"text":"70261572 - 2025 - Evaluation of the gap intercept method to measure rangeland connectivity","interactions":[],"lastModifiedDate":"2024-12-16T16:15:42.684883","indexId":"70261572","displayToPublicDate":"2024-11-26T10:06:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the gap intercept method to measure rangeland connectivity","docAbstract":"<p><span>Characterizing the connectivity of materials, organisms, and energy on rangelands is critical to understanding and managing ecosystem response to disturbances. For over twenty years, scientists and rangeland managers have used the gap intercept method to monitor connectivity. However, using gap intercept measurements to infer ecosystem processes or inform management actions and conservation practices on rangelands has been limited because there are few tools and syntheses to help managers pragmatically interpret gap measurements. In this synthesis, we review the different ways the gap intercept method is conducted and highlight considerations when collecting and using gap intercept data. We discuss what is known about how gap intercept data can be used to assess wind and water erosion, biocrust abundance and composition, soil fertility, plant community dynamics, wildlife habitat characteristics, and fuel connectivity and fire behavior. Finally, we identify emerging opportunities regarding the collection and use of gap intercept data to assess rangeland connectivity, ecosystem function, and ecological processes. Through this synthesis we demonstrate the value of the gap intercept method, particularly “all-plant” (i.e., whole-community) canopy gap, in supporting assessments of rangeland condition and vulnerability, and in planning future management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.09.001","usgsCitation":"McCord, S.E., Brehm, J.R., Condon, L.A., Dreesmann, L., Ellsworth, L., Germino, M., Herrick, J.E., Howard, B.K., Kachergis, E., Karl, J.W., Knight, A.C., Meadors, S., Nafus, A., Newingham, B.A., Olsoy, P.J., Pietrasiak, N., Pilliod, D., Schaefer, A., Webb, N.P., Wheeler, B.E., Williams, C., and Young, K., 2025, Evaluation of the gap intercept method to measure rangeland connectivity: Rangeland Ecology & Management, v. 98, p. 297-315, https://doi.org/10.1016/j.rama.2024.09.001.","productDescription":"19 p.","startPage":"297","endPage":"315","ipdsId":"IP-160407","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.09.001","text":"Publisher Index Page"},{"id":465152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":921069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehm, Joseph R.","contributorId":332303,"corporation":false,"usgs":false,"family":"Brehm","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":79446,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA; New Mexico State University, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":921070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Condon, Lea A. 0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreesmann, Leah","contributorId":347220,"corporation":false,"usgs":false,"family":"Dreesmann","given":"Leah","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":921071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellsworth, Lisa M.","contributorId":328375,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Lisa M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":921072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":921074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howard, Brian K. 0009-0001-8038-431X","orcid":"https://orcid.org/0009-0001-8038-431X","contributorId":347224,"corporation":false,"usgs":false,"family":"Howard","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":921075,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kachergis, Emily","contributorId":195930,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","affiliations":[],"preferred":false,"id":921076,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":921077,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":921078,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meadors, Savannah","contributorId":347226,"corporation":false,"usgs":false,"family":"Meadors","given":"Savannah","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":921079,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nafus, Aleta","contributorId":167781,"corporation":false,"usgs":false,"family":"Nafus","given":"Aleta","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":921080,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newingham, Beth A.","contributorId":195932,"corporation":false,"usgs":false,"family":"Newingham","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":921081,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olsoy, Peter J. 0000-0002-8785-0459","orcid":"https://orcid.org/0000-0002-8785-0459","contributorId":317761,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":921082,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pietrasiak, Nicole","contributorId":174259,"corporation":false,"usgs":false,"family":"Pietrasiak","given":"Nicole","email":"","affiliations":[{"id":27402,"text":"Department of Biology, John Carroll University, University Heights, Ohio 4118","active":true,"usgs":false}],"preferred":false,"id":921083,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921084,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schaefer, Anthony","contributorId":347229,"corporation":false,"usgs":false,"family":"Schaefer","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":921085,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":921086,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wheeler, Brandi E.","contributorId":334182,"corporation":false,"usgs":false,"family":"Wheeler","given":"Brandi","email":"","middleInitial":"E.","affiliations":[{"id":80080,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":921087,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":921088,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":921089,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70262089,"text":"70262089 - 2025 - U.S. Geological Survey research and assessments supporting carbon dioxide removal","interactions":[],"lastModifiedDate":"2025-01-13T15:21:36.376397","indexId":"70262089","displayToPublicDate":"2024-11-26T09:17:50","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Geological Survey research and assessments supporting carbon dioxide removal","docAbstract":"<p><span>Both carbon capture and storage (CCS) and carbon dioxide removal (CDR) are methods to limit future global temperature rise and ocean acidification. CCS sequesters (stores) carbon dioxide (CO2) captured from industrial sources thereby preventing the CO2 from reaching the atmosphere. The captured CO2 is injected into underground geologic reservoirs or is converted into stable industrial products. CDR enhances natural processes or uses technical approaches to remove excess CO2 from the atmosphere. Carbon dioxide is sequestered in natural sinks such as vegetation and soil, or injected into underground reservoirs or converted into durable products. The U.S. Geological Survey (USGS) conducts research and resource assessments that support biologic and geologic CDR approaches. This report will review some of the ongoing USGS CDR research and assessment efforts.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Greenhouse Gas Control Technologies Conference (GHGT-17)","conferenceDate":"October 20-24, 2024","conferenceLocation":"Calgary, Alberta, Canada","language":"English","publisher":"Elsevier","doi":"10.2139/ssrn.5034821","usgsCitation":"Warwick, P., Blondes, M., Drexler, J.Z., Kroeger, K.D., and Zhu, Z., 2025, U.S. Geological Survey research and assessments supporting carbon dioxide removal, <i>in</i> Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17), v. 17, Calgary, Alberta, Canada, October 20-24, 2024, 7 p., https://doi.org/10.2139/ssrn.5034821.","productDescription":"7 p.","ipdsId":"IP-171749","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":494420,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.2139/ssrn.5034821","text":"Publisher Index Page"},{"id":466113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":207248,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":923048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":348170,"corporation":false,"usgs":false,"family":"Blondes","given":"Madalyn S.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":923049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":923051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":923052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271137,"text":"70271137 - 2025 - Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","interactions":[],"lastModifiedDate":"2025-08-28T15:23:30.407508","indexId":"70271137","displayToPublicDate":"2024-11-24T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","docAbstract":"<p><span>In water-limited dryland ecosystems of the Western United States, climate change is intensifying the impacts of heat, drought, and wildfire. Disturbances often lead to increased abundance of invasive species, in part, because dryland restoration and rehabilitation are inhibited by limited moisture and infrequent plant recruitment events. Information on ecological resilience to disturbance (recovery potential) and resistance to invasive species can aid in addressing these challenges by informing long-term restoration and conservation planning. Here, we quantified the impacts of projected future climate on ecological resilience and invasion resistance&nbsp;(R&amp;R) in the sagebrush region using novel algorithms based on ecologically relevant and climate-sensitive predictors of climate and ecological drought. We used a process-based ecohydrological model to project these predictor variables and resulting R&amp;R indicators for two future climate scenarios and 20 climate models. Results suggested widespread future R&amp;R decreases (24%–34% of the 1.16 million km</span><sup>2</sup><span>&nbsp;study area) that are generally consistent among climate models. Variables related to rising temperatures were most strongly linked to decreases in R&amp;R indicators. New continuous R&amp;R indices quantified responses to climate change; particularly useful for areas without projected change in the R&amp;R category but where R&amp;R still may decrease, for example, some of the areas with a historically low R&amp;R category. Additionally, we found that areas currently characterized as having high sagebrush ecological integrity had the largest areal percentage with expected declines in R&amp;R in the future, suggesting continuing declines in sagebrush ecosystems. One limitation of these R&amp;R projections was relatively novel future climatic conditions in particularly hot and dry areas that were underrepresented in the training data. Including more data from these areas in future updates could further improve the reliability of the projections. Overall, these projected future declines in R&amp;R highlight a growing challenge for natural resource managers in the region, and the resulting spatially explicit datasets provide information that can improve long-term risk assessments, prioritizations, and climate adaptation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3065","usgsCitation":"Schlaepfer, D.R., Chambers, J., Urza, A.K., Hanberry, B.B., Brown, J.L., Board, D.I., Campbell, S.B., Clause, K.J., Crist, M.R., and Bradford, J.B., 2025, Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States: Ecological Applications, v. 35, no. 1, e3065, 22 p., https://doi.org/10.1002/eap.3065.","productDescription":"e3065, 22 p.","ipdsId":"IP-158663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ],\n            [\n              -119.90978156132392,\n              36.70243517332828\n            ],\n            [\n              -116.74229497105136,\n              35.570259676514176\n            ],\n            [\n              -111.57726471396826,\n              36.555490134719435\n            ],\n            [\n              -105.91156612900402,\n              33.92801205884358\n            ],\n            [\n              -102.5499905132619,\n              47.891853424997024\n            ],\n            [\n              -104.87030870365267,\n              48.87597046423572\n            ],\n            [\n              -111.13435292563514,\n              47.635410213564796\n            ],\n            [\n              -115.33422250973746,\n              45.642145863538204\n            ],\n            [\n              -119.45443104060176,\n              47.081115232827244\n            ],\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"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":947550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":947551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":947552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":947553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jessi L. 0000-0002-6126-7951","orcid":"https://orcid.org/0000-0002-6126-7951","contributorId":360732,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Board, David I. 0000-0001-6140-1260","orcid":"https://orcid.org/0000-0001-6140-1260","contributorId":360734,"corporation":false,"usgs":false,"family":"Board","given":"David","middleInitial":"I.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B. 0009-0002-9710-9688","orcid":"https://orcid.org/0009-0002-9710-9688","contributorId":360736,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","middleInitial":"B.","affiliations":[{"id":86091,"text":"USDA Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clause, Karen J.","contributorId":360737,"corporation":false,"usgs":false,"family":"Clause","given":"Karen","middleInitial":"J.","affiliations":[{"id":86093,"text":"USDA Natural Resources Conservation Service, Pinedale, Wyoming U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":947558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947559,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70262887,"text":"70262887 - 2025 - Evaluation of a carbon dioxide fish barrier through numerical modelling","interactions":[],"lastModifiedDate":"2025-08-04T15:32:55.922477","indexId":"70262887","displayToPublicDate":"2024-11-20T09:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19917,"text":"Meccanica","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a carbon dioxide fish barrier through numerical modelling","docAbstract":"<p><span>The Chicago Area Waterway System (CAWS) is a potential route for the migration of aquatic invasive species from the Mississippi River Basin into the Great Lakes. Electric dispersal barriers were installed in the Chicago Sanitary Ship Canal, within CAWS, to prevent invasive fish from reaching the Great Lakes. Despite the high efficiency of these barriers, occasional maintenance events create a vulnerability that fish can exploit to access the Great Lakes. This study aimed to assess the feasibility of a carbon dioxide (CO</span><sub>2</sub><span>) infusion system to deter fish during the maintenance of the electric barriers. An algebraic slip mixture model was implemented in the OpenFOAM solver to represent the underwater CO</span><sub>2</sub><span>&nbsp;bubble plume and predict the concentration of dissolved CO</span><sub>2</sub><span>&nbsp;in the canal. Simulations under three canal flowrates and two sparger systems were conducted assuming a constant gas flowrate. Numerical results indicate that, for all simulated conditions, the CO</span><sub>2</sub><span>&nbsp;concentration is not fully mixed creating passageways that invasive fish could potentially use to migrate upstream. Injecting 4-mm bubbles induces two large-scale recirculations that are expected to synergistically improve fish avoidance. On the other hand, injection of 20 </span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mtext fontfamily=&quot;Times&quot;>&amp;#x03BC;</mtext></mrow></math>\"><span class=\"MJX_Assistive_MathML\">μ</span></span></span><span>m bubbles results on almost immediate dissolution with minimal effect on the flow pattern. To improve effectiveness, a gas pulse system was proposed and numerically evaluated. Based on the simulations, this system not only extends the operation of the CO</span><sub>2</sub><span>&nbsp;barrier but also increases efficiency creating CO</span><sub>2</sub><span>&nbsp;gradients that can promote a more responsive behaviour from fish. Moreover, the pulse concept mitigates potential effect of elevated CO</span><sub>2</sub><span>&nbsp;downstream from the treated area.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11012-024-01865-4","usgsCitation":"Politano, M., Cupp, A.R., Smith, D., Schemmel, A., Jackson, P.R., and Zuercher, J., 2025, Evaluation of a carbon dioxide fish barrier through numerical modelling: Meccanica, v. 60, p. 1545-1560, https://doi.org/10.1007/s11012-024-01865-4.","productDescription":"16 p.","startPage":"1545","endPage":"1560","ipdsId":"IP-137990","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481413,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489897,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11012-024-01865-4","text":"Publisher Index Page"}],"country":"United States","state":"Illinois","otherGeospatial":"Chicago Area Waterway System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ],\n            [\n              -90.20558925432896,\n              41.259762660479\n            ],\n            [\n              -90.92604657930856,\n              39.60224792913861\n            ],\n            [\n              -90.53687833366651,\n              38.885040787768844\n            ],\n            [\n              -87.74374273887783,\n              40.64793845408764\n            ],\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Politano, Marcela","contributorId":349914,"corporation":false,"usgs":false,"family":"Politano","given":"Marcela","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":925191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":925192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David","contributorId":261251,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":52784,"text":"U.S. Department of Agriculture, Economic Research Service","active":true,"usgs":false}],"preferred":false,"id":925193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schemmel, Avery","contributorId":349915,"corporation":false,"usgs":false,"family":"Schemmel","given":"Avery","affiliations":[{"id":83534,"text":"U.S. Army Corps of Engineers (USACE- ERDC)","active":true,"usgs":false}],"preferred":false,"id":925194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zuercher, Jeff","contributorId":349916,"corporation":false,"usgs":false,"family":"Zuercher","given":"Jeff","affiliations":[{"id":83535,"text":"USACE, Chicago District","active":true,"usgs":false}],"preferred":false,"id":925196,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261161,"text":"70261161 - 2025 - The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary","interactions":[],"lastModifiedDate":"2024-11-27T15:04:47.620875","indexId":"70261161","displayToPublicDate":"2024-11-19T10:20:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary","docAbstract":"<p><span>Lateral variability is a fundamental feature of channel-shoal estuaries, and exchanges between the channel and shoal can play an important role in the dynamics of the ecosystem in each region. This lateral exchange of biomass interacts with vertical structure and variability, particularly in the channel, to define algal biomass accumulation in the estuary. In this paper, we investigate how time-variable lateral exchange affects phytoplankton dynamics with a biophysical model that links two water columns via intermittent exchange. We find that time variability in the exchange influences biomass by increasing concentrations in the shoals and decreasing them in the channel when the time variability happens on a timescale greater than the timescales of biological processes, and the strength of the effect increases with the period of the intermittency. At timescales of variability comparable to the spring-neap cycle, however, the interplay between lateral exchange and the ecosystem response is complicated by the fortnightly development of stratification in the channel and the role that channel-shoal interaction plays in defining that stratification. As a result, for lateral exchange variability with periods of 7 and 14 days, the influence of the shoal ecosystem on the channel ecosystem is sensitive to the phasing of exchange relative to the spring-neap cycle, due to the fact that neap tide exchanges can create stratification events that are larger in magnitude and duration than would occur in the absence of lateral exchange, causing the channel to transition into net positive growth conditions. We conclude that lateral exchange influences the estuarine ecosystem both directly, through the exchange of biomass between shoals with net positive growth and adjoining channels and indirectly through its role in defining stratification events that allow the channel itself to have net positive growth.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01434-8","usgsCitation":"Engel, L., Lucas, L., and Stacey, M.T., 2025, The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary: Estuaries and Coasts, v. 48, 22, 23 p., https://doi.org/10.1007/s12237-024-01434-8.","productDescription":"22, 23 p.","ipdsId":"IP-149463","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":466687,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01434-8","text":"Publisher Index Page"},{"id":464529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","noUsgsAuthors":false,"publicationDate":"2024-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Lilian 0000-0003-0591-7339","orcid":"https://orcid.org/0000-0003-0591-7339","contributorId":346533,"corporation":false,"usgs":false,"family":"Engel","given":"Lilian","email":"","affiliations":[{"id":82885,"text":"University of California Berkeley & PNNL","active":true,"usgs":false}],"preferred":false,"id":919476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":919477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stacey, Mark T. 0000-0002-0952-2812","orcid":"https://orcid.org/0000-0002-0952-2812","contributorId":220770,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark","email":"","middleInitial":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":919478,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265976,"text":"70265976 - 2025 - Predicting the response of fish populations to changes in river connectivity using individual-based models","interactions":[],"lastModifiedDate":"2025-04-23T14:37:43.198037","indexId":"70265976","displayToPublicDate":"2024-11-12T09:33:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the response of fish populations to changes in river connectivity using individual-based models","docAbstract":"<p><span>Barrier removal restores physical stream processes and improves accessibility of critical habitats to migratory fishes. Although increasing connectivity benefits stream systems and migratory fishes, barrier removals may also lead to increased production of undesirable or invasive migratory species, as well as myriad other concerns (e.g., reduced recreational opportunities). Few studies have predicted how migratory fish populations will respond to enhanced fish passage, despite being a critical step in the decision-making process. We developed an individual-based model framework to forecast the response of migratory fishes to changes in connectivity and applied the framework to six species under multiple fish passage scenarios for the FishPass project on the Boardman River, MI, which outlets into Lake Michigan. Population response to barrier removal was species-specific and varied based on initial population size and distribution within the watershed, number of fish passed upstream, and species life history traits. Species restricted to below the barrier prior to removal benefitted most; non-native species were found to have greater production potential under full passage scenarios than native Great Lakes species. With increasing passage of non-native Pacific salmonids, steelhead&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;surpassed brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;as the system’s dominant species. Our results will inform decision-makers on management alternatives for fish passage on the Boardman River and our model framework can be modified, updated, and applied to additional river systems as more barrier removal projects are conducted in the future.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102463","usgsCitation":"Flinn, S., Brenden, T., and Robinson, K.F., 2025, Predicting the response of fish populations to changes in river connectivity using individual-based models: Journal of Great Lakes Research, v. 51, 102463, 11 p., https://doi.org/10.1016/j.jglr.2024.102463.","productDescription":"102463, 11 p.","ipdsId":"IP-157868","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102463","text":"Publisher Index Page"},{"id":484916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Boardman River basin, Grand Traverse Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinn, Shane","contributorId":353643,"corporation":false,"usgs":false,"family":"Flinn","given":"Shane","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis","contributorId":353644,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261912,"text":"70261912 - 2025 - Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","interactions":[],"lastModifiedDate":"2025-02-24T16:56:37.298498","indexId":"70261912","displayToPublicDate":"2024-11-09T09:17:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","docAbstract":"<p><span>Untangling the complexities of harmful algal bloom (HAB) dynamics is an ongoing effort that requires a fundamental understanding of spatiotemporal phytoplankton patterns and the environmental filters through which assemblages are structured. To this aim, monthly field surveys were conducted from 2019 to 2021 at 21 sites in Lake Okeechobee, Florida – a large, shallow, eutrophic, and heavily managed lake with coastal connectivity that experiences intense and recurrent HABs. Phytoplankton assemblages were strongly spatially structured forming 7 distinct lake zones with significant dissimilarity in composition and total abundance. While successional patterns were not apparent across seasons or wet/dry periods, total phytoplankton abundance was significantly greater towards the end of the wet season. Distance-based linear models using 16 abiotic variables were used to identify significant explanatory variables of spatial and temporal patterns. The spatial model explained 93 % of the variability suggesting deterministic processes largely control spatial patterns. The temporal model explained only 48 % of the temporal variability suggesting stochasticity in lake-wide shifts in assemblages over time. However, the strong spatial structuring of assemblages may preclude lake-wide succession patterns. Total algal abundance metrics were inversely related to nitrate, orthophosphate, and total alkalinity, the strongest explanatory variables of assemblage patterns, suggesting a lag between peak resources and peak abundance as phytoplankton cycle “boom-to-bust” phases. Consistent with this inverse relationship, Threshold Indicator Taxa Analysis returned almost exclusively negative responder indicator taxa for all three explanatory variable gradients. The assemblage-level threshold defined the gradient boundary between boom- and bust-associated indicator taxa. These data contribute novel information about HABs ecology pertinent to management strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2024.102744","usgsCitation":"Mazzei, V., Sullivan, K., and Loftin, K.A., 2025, Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA: Harmful Algae, v. 142, 102744, 13 p., https://doi.org/10.1016/j.hal.2024.102744.","productDescription":"102744, 13 p.","ipdsId":"IP-146701","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":465632,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2024.102744","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":922254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Kristy Lee 0000-0003-1139-1222","orcid":"https://orcid.org/0000-0003-1139-1222","contributorId":296093,"corporation":false,"usgs":true,"family":"Sullivan","given":"Kristy Lee","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261690,"text":"70261690 - 2025 - Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","interactions":[],"lastModifiedDate":"2025-03-11T14:52:27.900675","indexId":"70261690","displayToPublicDate":"2024-10-24T11:00:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","docAbstract":"<p><span>The Upper Colorado River Basin is the principal water supply of the western United States and includes a series of canyons that provide habitat for disproportionate numbers of flora and fauna. Following the closing of Flaming Gorge and Blue Mesa dams in 1963 and 1966, decreases in peak flows and elevated base flows allowed extensive vegetation encroachment, channel narrowing, and channel simplification. Since 1992, reservoir releases have been modified to increase the ratio of peak to base flows for environmental reasons, including protection of endangered fish. We used remote imagery from 1940 to 2022 to examine rates of vegetation encroachment along three river reaches in Canyonlands National Park during the pre-dam (1940–1966), post-dam (1967–1992), and environmental flows (1993–2022) periods. We found an increase in the vegetated area along the Colorado and Green Rivers upstream of their confluence since 1940. We documented a 6.1% and 4.0% increase in vegetated area in the post-dam period and a 19.5% and 6.5% increase in vegetated area in the environmental flows period on the Colorado and Green Rivers, respectively. The Cataract Canyon reach (Colorado River below the confluence) has been stable since 1966. All three river reaches showed the slowest period of vegetation encroachment, indicative of channel narrowing, in the last 16 years of environmental flows that included a large peakflow in 2011. Environmental flows that mimic the natural hydrograph have not reversed decreases in peak flow and channel width, due in part to decreasing runoff and increasing flow diversion. Flow alterations that reduce the spring peak could cause further narrowing.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4395","usgsCitation":"Perkins, D.W., Wight, A., Wondzell, M., and Friedman, J.M., 2025, Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022: River Research and Applications, v. 41, no. 3, p. 662-678, https://doi.org/10.1002/rra.4395.","productDescription":"17 p.","startPage":"662","endPage":"678","ipdsId":"IP-159010","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466823,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":466822,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":465286,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Dustin W.","contributorId":347345,"corporation":false,"usgs":false,"family":"Perkins","given":"Dustin","email":"","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wight, Aneth","contributorId":347346,"corporation":false,"usgs":false,"family":"Wight","given":"Aneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wondzell, Mark","contributorId":347347,"corporation":false,"usgs":false,"family":"Wondzell","given":"Mark","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":921443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260910,"text":"70260910 - 2025 - Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","interactions":[],"lastModifiedDate":"2025-02-24T16:49:38.561292","indexId":"70260910","displayToPublicDate":"2024-10-22T09:51:00","publicationYear":"2025","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}},"displayTitle":"Comparative behavioral responses of grass carp (<i>Ctenopharyngodon idella</i>), bighead carp (<i>Hypophthalmichthys nobilis</i>), and silver carp (<i>H. molitrix</i>) to free amino acids in water","title":"Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","docAbstract":"<p><span>Control and elimination of invasive fishes, like carps (Order Cypriniformes), may be possible by using chemical stimuli to congregate them for removal. To this end, we tested behavioral responses of grass (</span><i>Ctenopharyngodon idella</i><span>), bighead (</span><i>Hypophthalmichthys nobilis</i><span>), and silver carp (</span><i>H. molitrix</i><span>) to L-alanine, L-arginine, L-glutamic acid, and L-aspartic acid. In grass carp, the first three amino acids have been shown to be beneficial for growth, and all four produce a strong olfactory response in this species. This study used pairs of conspecific fish in a video-recorded, sound-insulated, clear acrylic, tube-shaped tank; during trials, an amino acid stimulus was delivered at one end of that tank. Changes in space use, velocity, and acceleration across all amino acids differed significantly among species. Changes in space use by grass carp indicated avoidance of only two amino acids, L-alanine and L-aspartic acid. There was no evidence for attraction to amino acids for grass or silver carp. For bighead carp, change in spatial use on exposure to amino acids indicated attraction across the four amino acids. This attraction was enhanced by lowered velocity. Our results suggested that olfactory sensitivity does not directly translate to behavioral responses. Other sensory cues, for example tactile, visual, and/or taste, may mediate the selective foraging of grass carp. Amino acids may serve as a better olfactory attractant for bighead carp compared to grass or silver carp.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15964","usgsCitation":"Wildhaber, M.L., Beaman, Z.D., Ditter, K.K., and West, B.M., 2025, Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water: Journal of Fish Biology, v. 106, no. 2, p. 481-491, https://doi.org/10.1111/jfb.15964.","productDescription":"11 p.","startPage":"481","endPage":"491","ipdsId":"IP-166482","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":464030,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263240,"text":"70263240 - 2025 - Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023","interactions":[],"lastModifiedDate":"2025-02-03T15:32:33.686718","indexId":"70263240","displayToPublicDate":"2024-10-17T09:27:15","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023","docAbstract":"<p>Previously published research indicated that predation by piscivorous colonial waterbirds in the Upper Klamath Basin was a source of mortality for Lost River suckers (<i>Deltistes luxatus</i>) and Shortnose suckers (<i>Chasmistes brevirostris</i>), including mortality of Sucker Assisted Rearing Program (SARP) fish. Avian predation on recently released Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Upper Klamath Basin has not been studied. To provide fisheries managers with the most up-to-date information, we estimated predation rates on passive integrated transponder tagged (PIT) suckers and Chinook Salmon by breeding colonies of American White Pelicans (<i>Pelecanus erythrorhynchos</i>), Double-crested Cormorants (<i>Nannopterum auritum</i>), Caspian Terns (<i>Hydroprogne caspia</i>), California Gulls (<i>Larus californicus</i>), Ring-billed Gulls (<i>L. delawarensis</i>), Great Blue Herons (<i>Ardea herodias</i>), and Great Egrets (<i>A. alba</i>) during 2021–2023. Predation rate estimates were variable depending on the fish species, age-class (juvenile, adult), waterbody (Upper Klamath Lake, Clear Lake Reservoir, Sheepy Lake), and year. Results indicated that avian predation rates were highest on juvenile suckers and on suckers in Clear Lake Reservoir. SARP fish released in the spring/summer were more likely to be consumed by breeding birds than those released in the fall/winter, although the number of fish released in the fall/winter that survived to the spring/summer was unknown and could bias predation estimates low. Predation rate estimates on Chinook Salmon varied by year, release timing (spring/summer, fall/winter), release location (Upper Klamath Lake, Klamath River), and age-class (subyearling, yearling). The location and size of colonies were also highly variable depending on the bird species, colony location, and year. Future research could focus on identifying biotic and abiotic factors associated with sucker susceptibility to piscivorous colonial waterbirds and determining to what degree avian predation limits the recovery of suckers in the Upper Klamath Basin. </p>","language":"English","publisher":"Bird Research Northwest (BRNW) website: birdresearchnw.org","collaboration":"RTR (RealTime Research) Report, Bureau of Reclaimation","usgsCitation":"Banet, N., Payton, Q., Evans, A., Paul-Wilson, R.K., Krause, J.R., Hayes, B., and Benham, E., 2025, Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023, 34 p.","productDescription":"34 p.","ipdsId":"IP-170462","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":481605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Upper Klamath basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28212299679791,\n              42.72419140413197\n            ],\n            [\n              -122.28212299679791,\n              41.744754458675885\n            ],\n            [\n              -120.76750924697343,\n              41.744754458675885\n            ],\n            [\n              -120.76750924697343,\n              42.72419140413197\n            ],\n            [\n              -122.28212299679791,\n              42.72419140413197\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan B","contributorId":350420,"corporation":false,"usgs":false,"family":"Banet","given":"Nathan B","affiliations":[{"id":83736,"text":"Real Time Research, Inc., Bend, OR","active":true,"usgs":false}],"preferred":false,"id":925985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payton, Quinn","contributorId":149990,"corporation":false,"usgs":false,"family":"Payton","given":"Quinn","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":925986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Allen","contributorId":149989,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":925987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul-Wilson, Rachael Katelyn 0000-0002-8213-1084","orcid":"https://orcid.org/0000-0002-8213-1084","contributorId":298894,"corporation":false,"usgs":true,"family":"Paul-Wilson","given":"Rachael","email":"","middleInitial":"Katelyn","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, Jacob Richard 0000-0002-9804-2481","orcid":"https://orcid.org/0000-0002-9804-2481","contributorId":300701,"corporation":false,"usgs":true,"family":"Krause","given":"Jacob","email":"","middleInitial":"Richard","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":925990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benham, Erin Marie 0009-0000-2972-1897","orcid":"https://orcid.org/0009-0000-2972-1897","contributorId":350421,"corporation":false,"usgs":true,"family":"Benham","given":"Erin Marie","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925991,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266211,"text":"70266211 - 2025 - Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","interactions":[],"lastModifiedDate":"2025-04-30T16:26:30.317802","indexId":"70266211","displayToPublicDate":"2024-10-10T11:19:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","docAbstract":"<p><span>Boreal forest streams are characterized by large volumes of instream wood, yet the relationship between logjams and Pacific salmon productivity remains underqualified. We located logjams (</span><i>n</i><span> = 427) within the distribution of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in the Chena River, Alaska (Yukon River tributary) and measured dimensions, classified formative process, and snorkel-sampled a subset (</span><i>n</i><span> = 189) of logjams to detect and count juvenile salmon relative to multiscale variables and a dam. Logjam size increased downstream, whereas logjam density and large wood recruits declined (upstream = 6 logjams/km, 33 recruits/km; downstream = 0.3 logjams/km, 6 recruits/km), particularly below a dam that reduced downstream wood transport and log-trapping locations (i.e., bars). Juvenile salmon occupied 68% of logjams; mid-network logjams had the highest densities (mean = 0.85 fish/m</span><sup>2</sup><span>). We modeled juvenile salmon counts with logjam-, stream reach-, and neighborhood-scale (&gt; 1 km) predictors. Covariates that best predicted juvenile salmon densities included bankfull flow and stream power at reach scales in addition to growth potential, spawning habitat quality, and logjam area within 1 km of the focal logjam at neighborhood-scales. Multiscale perspectives that link landscape characteristics, wood dynamics, and instream modifications with juvenile salmon production will be important to facilitate conservation and management of boreal streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4387","usgsCitation":"Cathcart, C.N., Falke, J.A., Fox, J., Henszey, R., and Lininger, K., 2025, Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska: River Research and Applications, v. 41, no. 3, p. 593-608, https://doi.org/10.1002/rra.4387.","productDescription":"16 p.","startPage":"593","endPage":"608","ipdsId":"IP-152306","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4387","text":"Publisher Index Page"},{"id":485218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River watershed study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cathcart, Charles N.","contributorId":317814,"corporation":false,"usgs":false,"family":"Cathcart","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Jimmy","contributorId":354009,"corporation":false,"usgs":false,"family":"Fox","given":"Jimmy","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henszey, Robert","contributorId":354010,"corporation":false,"usgs":false,"family":"Henszey","given":"Robert","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lininger, Katherine","contributorId":354011,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":934948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259444,"text":"70259444 - 2025 - Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification","interactions":[],"lastModifiedDate":"2025-02-24T16:48:14.318411","indexId":"70259444","displayToPublicDate":"2024-10-02T06:46:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>In addition to supplying water for agriculture, cities, and industry, the Colorado River traverses the Colorado Plateau, including several of the most unique and valued National Parks and Recreation Areas in the United States. Although the water needs of these landscapes were not considered at the time water allocations were first negotiated, these needs were recognized in subsequent legislation and policy. Management goals address a range of aquatic and riparian resources, including fine sediment (sand, silt, and clay) which, in Grand Canyon, is important for ecological, cultural, and recreational resources. Over ~30 years, stakeholders, resource managers, and scientists collectively developed operational strategies for sediment management to meet goals outlined by an adaptive management program. However, prolonged drought, or “aridification,” resulting in declining runoff and the lowest reservoir storage elevations in decades has challenged those strategies. The paradigm for sustainable sediment management relies on (1) sand accumulation on the bed of the Colorado River during periods of sediment-rich tributary floods from summer/fall thunderstorms, and (2) dam-released controlled (artificial) floods, referred to as High-Flow Experiments (HFEs), to redistribute the accumulated sand to rebuild eroded bar and floodplain deposits. The management protocol, which specifies narrowly defined sand accumulation periods and HFE implementation windows, is based on implementing HFEs in late fall during the period of greatest sediment enrichment, before higher winter releases for hydropower erode the accumulated sand from the riverbed. Low dam releases associated with drought, however, have changed the pattern of sand accumulation and low reservoir elevations have prevented HFE implementation in the defined window. An alternative strategy for HFE planning and implementation was tested opportunistically in April 2023 following lower-than-normal winter dam releases. We present findings from this HFE indicating that sand enrichment and sandbar building equaled or exceeded that of HFEs conducted under the established management protocol. These findings show that management goals for sediment under conditions of prolonged drought may be achievable but will likely require substantial changes in dam management strategies.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4374","usgsCitation":"Grams, P.E., Topping, D.J., Salter, G.L., Chapman, K.A., Tusso, R.B., and Mueller, E., 2025, Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification: River Research and Applications, v. 41, no. 2, p. 334-348, https://doi.org/10.1002/rra.4374.","productDescription":"15 p.","startPage":"334","endPage":"348","ipdsId":"IP-163271","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462680,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466884,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4374","text":"Publisher Index Page"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6737282778233,\n              35.126856331571815\n            ],\n            [\n              -111.42177515282343,\n              35.126856331571815\n            ],\n            [\n              -111.42177515282343,\n              37.18459338283438\n            ],\n            [\n              -114.6737282778233,\n              37.18459338283438\n            ],\n            [\n              -114.6737282778233,\n              35.126856331571815\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Katherine Anne 0009-0009-1806-6474 kchapman@usgs.gov","orcid":"https://orcid.org/0009-0009-1806-6474","contributorId":345014,"corporation":false,"usgs":true,"family":"Chapman","given":"Katherine","email":"kchapman@usgs.gov","middleInitial":"Anne","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tusso, Robert B. 0000-0001-7541-3713 rtusso@usgs.gov","orcid":"https://orcid.org/0000-0001-7541-3713","contributorId":4079,"corporation":false,"usgs":true,"family":"Tusso","given":"Robert","email":"rtusso@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915275,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":915276,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259406,"text":"70259406 - 2025 - Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services","interactions":[],"lastModifiedDate":"2024-10-07T12:04:49.093939","indexId":"70259406","displayToPublicDate":"2024-09-27T07:00:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\">Coastal landscapes are rapidly changing due to both climate change and the decisions of waterfront landowners. For instance, the climate-driven encroachment of woody mangrove species into grassy marshland areas is predicted to impact coastal ecosystems, with consequences for the ecosystem services these landscapes provide to people. However, there is a dearth of knowledge concerning coastal resident perceptions of the effects of mangrove expansion on wetlands and their ecosystem services, which may impact residents’ behavior around shorelines and landscape-level patterns. We surveyed waterfront residents in the northern Gulf of Mexico (USA) to understand perceptions of the relative performance of marshes and mangroves to deliver fisheries ecosystem services. Residential-scale shoreline condition and preference, recreational fishing activity, geography, and demographics were evaluated as potential predictors of resident perceptions through non-parametric comparisons across groups and ordered logit modeling. Significant predictors included area of residence, marsh shoreline condition, marsh shoreline preference, fishing frequency, and household income. Florida residents (where mangroves are most prevalent) and frequent recreational fishing participants exhibited stronger preference for mangroves. Unexpectedly, residents with marsh currently present on their shoreline also perceived that mangroves were better at delivering fisheries ecosystem services than marshes. Considering the important role that coastal residents play in shoreline management decisions, these results demonstrate how coastal resident attitudes may drive or mediate climate-driven processes in ways that are not evident by examining environmental conditions alone. Understanding social-ecological shifts due to climate change will be important to inform effective landscape management that promotes resilience in coastal ecosystems and societies.</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.landurbplan.2024.105203","usgsCitation":"Swinea, S.H., Hughes, A.R., Osland, M., Shepard, C., Thorne, K.B., Alemu I, J., Bardou, R., and Scyphers, S.B., 2025, Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services: Landscape and Urban Planning, v. 253, 105203, 11 p., https://doi.org/10.1016/j.landurbplan.2024.105203.","productDescription":"105203, 11 p.","ipdsId":"IP-162480","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2024.105203","text":"Publisher Index Page"},{"id":462658,"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              -78.58436977313119,\n              32.14300702907593\n            ],\n            [\n              -99.15077602313066,\n              32.14300702907593\n            ],\n            [\n              -99.15077602313066,\n              24.492090610525764\n            ],\n            [\n              -78.58436977313119,\n              24.492090610525764\n            ],\n            [\n              -78.58436977313119,\n              32.14300702907593\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":915181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":915182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":915183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Kalaina B.","contributorId":344973,"corporation":false,"usgs":false,"family":"Thorne","given":"Kalaina","email":"","middleInitial":"B.","affiliations":[{"id":82446,"text":"Marine Science Center, Northeastern University, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":915185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915186,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":915187,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263247,"text":"70263247 - 2025 - Food for fish: Challenges and opportunities for quantifying foodscapes in river networks","interactions":[],"lastModifiedDate":"2025-02-03T16:34:37.642726","indexId":"70263247","displayToPublicDate":"2024-09-12T10:27:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Food for fish: Challenges and opportunities for quantifying foodscapes in river networks","docAbstract":"<p><span>Riverine fishes face many challenges including habitat degradation and climate change, which alter the productivity of the riverscapes in which fish live, reproduce, and feed. Understanding the watershed portfolio of foraging and growth opportunities that sustain productive and resilient fish populations is important for prioritizing conservation and restoration. However, the spatiotemporal distribution and availability of fish food are poorly understood relative to other factors such as abiotic habitat quantity and quality (e.g., water temperature). In this paper, we build on the concept of “foodscapes,” and describe three components of food for fish, including abundance, accessibility, and quality. We then discuss methodological advances to help address three key questions: (1) Why is food availability hard to estimate? (2) What are the consequences of uncertainty in food availability estimates? and (3) What approaches are available or emerging for quantifying food available to fish? To address the first question, we characterize data acquisition and analytical challenges; for the second, we demonstrate the importance of evaluating and communicating potential consequences of uncertainty; and for the third, we posit opportunities for future work. Collectively, we highlight the need for greater appreciation of the role food plays in stream fish conservation, especially given its critical influence on responses to warming temperatures.</span></p>","language":"English","publisher":"Wiley Interdisciplinary Reviews","doi":"10.1002/wat2.1752","usgsCitation":"Ouellet, V., Fullerton, A.H., Kaylor, M.J., Naman, S.M., Bellmore, R., Rosenfeld, J., Rossi, G., White, S., Rhoades, S., Beauchamp, D., Liermann, M.C., Kiffney, P., and Sanderson, B., 2025, Food for fish: Challenges and opportunities for quantifying foodscapes in river networks: WIREs Water, v. 12, e1752, 29 p., https://doi.org/10.1002/wat2.1752.","productDescription":"e1752, 29 p.","ipdsId":"IP-160168","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":487614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1752","text":"Publisher Index Page"},{"id":481616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ouellet, Valerie","contributorId":316799,"corporation":false,"usgs":false,"family":"Ouellet","given":"Valerie","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":926003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":926004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaylor, Matthew J.","contributorId":302867,"corporation":false,"usgs":false,"family":"Kaylor","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":926007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naman, Sean M.","contributorId":302860,"corporation":false,"usgs":false,"family":"Naman","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellmore, Ryan 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":350458,"corporation":false,"usgs":false,"family":"Bellmore","given":"Ryan","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":926006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenfeld, Jordan","contributorId":350426,"corporation":false,"usgs":false,"family":"Rosenfeld","given":"Jordan","affiliations":[{"id":83742,"text":"BC Ministry of Environment, Conservation Science Section, University of British Columbia,","active":true,"usgs":false}],"preferred":false,"id":926012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rossi, Gabriel","contributorId":350427,"corporation":false,"usgs":false,"family":"Rossi","given":"Gabriel","affiliations":[{"id":83743,"text":"Department of Environmental Science, Policy, and Management, University of California at Berkeley","active":true,"usgs":false}],"preferred":false,"id":926013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Seth","contributorId":168353,"corporation":false,"usgs":false,"family":"White","given":"Seth","affiliations":[{"id":25264,"text":"Columbia River Intertribal Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":926014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rhoades, Suzanne","contributorId":350459,"corporation":false,"usgs":false,"family":"Rhoades","given":"Suzanne","affiliations":[],"preferred":false,"id":926045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926005,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liermann, Martin C.","contributorId":139467,"corporation":false,"usgs":false,"family":"Liermann","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":926010,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kiffney, Peter","contributorId":242881,"corporation":false,"usgs":false,"family":"Kiffney","given":"Peter","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":926008,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sanderson, Beth","contributorId":338027,"corporation":false,"usgs":false,"family":"Sanderson","given":"Beth","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":926046,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70264768,"text":"70264768 - 2025 - Enhanced microplastic fragmentation along human built structures in an urban waterway","interactions":[],"lastModifiedDate":"2025-03-24T15:23:18.195147","indexId":"70264768","displayToPublicDate":"2024-09-11T10:19:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20508,"text":"International Journal of Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced microplastic fragmentation along human built structures in an urban waterway","docAbstract":"<p><span>Plastic pollution and microplastic (MP, 1&nbsp;µm to 5&nbsp;mm) generation are growing problems affecting the global community and a wide range of natural and disturbed environments. Urban and suburban waterways are directly impacted by plastic pollution due to their proximity to population centers and many different types single use plastic waste sources. In this study, plastic waste accumulation and fragmentation was investigated along the Cooper River in Camden County, NJ. Polymer composition was identified for individual plastic waste particles collected along the Cooper River using Fourier transform infrared (FTIR) spectrometry. Multiple human-built structures (Wallworth Lake, Evans Pond and Hopkins Pond dams) along the Cooper River were found to accumulate different types of plastic waste. The accumulation of plastic waste along these structures resulted in the initial stages of plastic fragmentation and the identification of large MP particles (1&nbsp;to&nbsp;5&nbsp;mm). Quantitative analysis revealed that fragmented polystyrene (PS) particles constituted 82.8% of the total plastic fragments identified, most of which were identified at the Wallworth Lake dam. Many other types of fragmented plastic litter, including polyethylene and polypropylene, were identified at the Wallworth Lake dam, as well. This research demonstrates that engineered structures within urban and suburban aquatic ecosystems serve as significant aggregators of plastic debris, thereby catalyzing its breakdown into microplastics. Considering the escalating ecological and human health ramifications of microplastic proliferation, the fragmentation of plastic waste in an urban and suburban waterway observed in this study can also result in potentially toxic smaller MP particles, and increased exposure to aquatic organisms and humans.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13762-024-05962-5","usgsCitation":"Moore, E.K., Pittman, L., Heminghaus, M., Heintzelman, D., and Hatter, A., 2025, Enhanced microplastic fragmentation along human built structures in an urban waterway: International Journal of Environmental Science and Technology, v. 22, p. 6401-6414, https://doi.org/10.1007/s13762-024-05962-5.","productDescription":"14 p.","startPage":"6401","endPage":"6414","ipdsId":"IP-157450","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":483720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","county":"Camden County","otherGeospatial":"Cooper River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-75.0602,39.9937],[-75.0512,39.991],[-75.0471,39.9942],[-75.0441,39.9947],[-75.0405,39.9951],[-75.0381,39.9956],[-75.0356,39.9943],[-75.0332,39.9929],[-75.029,39.9925],[-75.0254,39.9929],[-75.0224,39.992],[-75.02,39.9893],[-75.0164,39.9871],[-75.0152,39.9848],[-75.0122,39.9821],[-75.0097,39.9798],[-75.0109,39.9789],[-75.0133,39.9776],[-75.0145,39.9757],[-75.0151,39.9739],[-75.0157,39.9721],[-75.0175,39.9698],[-75.0198,39.9671],[-75.0186,39.9644],[-75.0156,39.959],[-75.0132,39.9567],[-75.0128,39.9551],[-75.0143,39.9531],[-75.0155,39.9522],[-75.0173,39.9504],[-75.0179,39.9485],[-75.0161,39.9467],[-75.0125,39.9458],[-75.0095,39.9449],[-75.0071,39.9436],[-75.0041,39.9422],[-75.0011,39.9418],[-74.998,39.94],[-74.9968,39.9395],[-74.9926,39.9391],[-74.9902,39.9391],[-74.986,39.9387],[-74.9788,39.9396],[-74.9752,39.9383],[-74.9752,39.936],[-74.977,39.9351],[-74.98,39.9342],[-74.98,39.9324],[-74.9836,39.931],[-74.9842,39.9283],[-74.9805,39.9247],[-74.9739,39.922],[-74.9649,39.9211],[-74.9601,39.9175],[-74.9547,39.9111],[-74.9529,39.9084],[-74.9516,39.9025],[-74.9462,39.898],[-74.9432,39.8949],[-74.9426,39.8926],[-74.9378,39.8894],[-74.9341,39.8863],[-74.9293,39.8822],[-74.9275,39.875],[-74.911,39.8229],[-74.9006,39.7898],[-74.8976,39.7876],[-74.8946,39.7853],[-74.8898,39.7831],[-74.8832,39.7822],[-74.8778,39.7822],[-74.8737,39.7827],[-74.8665,39.7836],[-74.8575,39.7859],[-74.8509,39.7882],[-74.845,39.7886],[-74.8372,39.7891],[-74.8252,39.7887],[-74.8174,39.7873],[-74.8084,39.7842],[-74.8024,39.781],[-74.7946,39.7729],[-74.7874,39.7706],[-74.782,39.7607],[-74.7802,39.7589],[-74.7766,39.7571],[-74.7748,39.7566],[-74.7736,39.7539],[-74.7724,39.7516],[-74.7676,39.7489],[-74.7616,39.7449],[-74.755,39.7431],[-74.749,39.7404],[-74.7358,39.7322],[-74.7615,39.71],[-74.8282,39.6527],[-74.8775,39.6095],[-74.8841,39.6131],[-74.8919,39.6194],[-74.8919,39.6212],[-74.8925,39.623],[-74.8932,39.628],[-74.8974,39.6298],[-74.9009,39.6312],[-74.9034,39.6357],[-74.9058,39.6443],[-74.9089,39.661],[-74.9107,39.6683],[-74.9203,39.6805],[-74.9269,39.6846],[-74.9288,39.6895],[-74.9354,39.694],[-74.9647,39.7003],[-74.9791,39.7048],[-74.9929,39.7111],[-74.9959,39.7174],[-75.0091,39.726],[-75.0175,39.7277],[-75.0223,39.7309],[-75.0218,39.7404],[-75.0218,39.7472],[-75.0242,39.7508],[-75.0321,39.7581],[-75.0375,39.7635],[-75.0417,39.7675],[-75.0429,39.7716],[-75.0454,39.7752],[-75.0496,39.7788],[-75.0532,39.7802],[-75.0592,39.7838],[-75.0646,39.7878],[-75.0677,39.7928],[-75.0689,39.7937],[-75.0719,39.7951],[-75.0737,39.7987],[-75.0738,39.8055],[-75.0828,39.8113],[-75.0876,39.8145],[-75.0876,39.8222],[-75.0841,39.8276],[-75.0842,39.8358],[-75.0848,39.8376],[-75.0836,39.8431],[-75.0861,39.8462],[-75.0927,39.8512],[-75.1029,39.8557],[-75.1083,39.8602],[-75.1156,39.8638],[-75.1192,39.8696],[-75.1222,39.8737],[-75.1276,39.8764],[-75.1313,39.8782],[-75.1301,39.8814],[-75.1331,39.8859],[-75.141,39.8895],[-75.1402,39.8901],[-75.1374,39.8931],[-75.1344,39.8968],[-75.1327,39.9],[-75.1315,39.904],[-75.1311,39.9055],[-75.1306,39.9085],[-75.1304,39.9126],[-75.1311,39.9153],[-75.1321,39.918],[-75.1338,39.9217],[-75.1349,39.9244],[-75.136,39.9286],[-75.137,39.9327],[-75.1375,39.9367],[-75.138,39.9404],[-75.1384,39.9444],[-75.1377,39.9479],[-75.1372,39.9504],[-75.1357,39.9535],[-75.1343,39.9557],[-75.1314,39.9584],[-75.1276,39.9614],[-75.1265,39.9622],[-75.1246,39.9633],[-75.1191,39.9664],[-75.1111,39.9703],[-75.1039,39.9724],[-75.0997,39.9736],[-75.0919,39.9754],[-75.0841,39.9772],[-75.0774,39.9798],[-75.0728,39.9827],[-75.0685,39.9856],[-75.0649,39.9889],[-75.0614,39.9919],[-75.0602,39.9937]]]},\"properties\":{\"name\":\"Camden\",\"state\":\"NJ\"}}]}","volume":"22","noUsgsAuthors":false,"publicationDate":"2024-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":931590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pittman, Liam","contributorId":352520,"corporation":false,"usgs":false,"family":"Pittman","given":"Liam","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heminghaus, Megan","contributorId":352521,"corporation":false,"usgs":false,"family":"Heminghaus","given":"Megan","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heintzelman, Daniel","contributorId":352522,"corporation":false,"usgs":false,"family":"Heintzelman","given":"Daniel","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatter, Amber","contributorId":352523,"corporation":false,"usgs":false,"family":"Hatter","given":"Amber","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258803,"text":"70258803 - 2025 - eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","interactions":[],"lastModifiedDate":"2025-02-24T16:41:23.919215","indexId":"70258803","displayToPublicDate":"2024-08-08T08:55:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","docAbstract":"<p><span>River flow patterns are primary drivers of lotic ecosystems, and hundreds of metrics have been developed to quantify flow attributes. Although existing metrics have been a powerful tool in designing environmental flows, they are often developed with specific resources in mind and are rarely directly comparable with each other (i.e., units are often different). Here, we focus on natural flows as the resource of interest and develop z-score metrics that measure the naturalness of regulated flows, incorporating natural means and interannual variation. These “eZ metrics” summarize whole year, subdaily, and functional flow patterns as standard deviations from natural such that their values are directly comparable. We illustrate their utility with a case study from the Colorado River downstream of Glen Canyon Dam in Arizona, USA. We calculated metrics for 1964–2022, spanning greater than 5 decades of changing water policy, hydropower generation, and flow experimentation. We evaluate four options for estimating natural baseline flows. Across metrics, we found that subdaily stage variation deviated the most from baseline. Flows to satisfy regional water policy and power demands altered metrics more than designer flows (which target specific resource outcomes), and years with low water releases were closest to natural. Most of the designer flows have not made flow patterns more natural, due to incorrect seasonal timing, small magnitude, or short duration. By explicitly considering interannual variability and quantifying how regulated flows differ from natural using standard deviations, these metrics can inform management when the goal is to restore a natural flow regime.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4360","usgsCitation":"Palmquist, E.C., Deemer, B., Metcalfe, A., Kennedy, T., Bair, L., Fairley, H.C., Grams, P.E., Sankey, J., and Yackulic, C., 2025, eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam: River Research and Applications, v. 41, no. 2, p. 252-267, https://doi.org/10.1002/rra.4360.","productDescription":"16 p.","startPage":"252","endPage":"267","ipdsId":"IP-162395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466969,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4360","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.25997021967751,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              31.561618648031384\n            ],\n            [\n              -107.25997021967751,\n              31.561618648031384\n            ],\n            [\n              -107.25997021967751,\n              44.61646777996336\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":914089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914092,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70262566,"text":"70262566 - 2025 - Balancing ecology and practicality to rank waterbodies for preventative invasive species management","interactions":[],"lastModifiedDate":"2025-01-21T16:38:29.384752","indexId":"70262566","displayToPublicDate":"2024-08-06T10:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Balancing ecology and practicality to rank waterbodies for preventative invasive species management","docAbstract":"<ol class=\"\"><li>‘Early detection and rapid response’ (EDRR) is the most successful framework for preventative invasive species management, but prioritizing localized EDRR actions with limited resources is challenging. An approach that ranks individual locations, such as waterbodies, for EDRR by combining an invasive species' establishment risk with the practicality of managing it could help set reasonable priorities.</li><li>Here, we worked with regional practitioners in Arkansas, USA, and the broader Southeastern USA to co-produce a workflow for preventative aquatic invasive species management that (1) estimates establishment risk under current and future climates with a species distribution model, (2) scores waterbodies according to difficulty of eradicating an aquatic invasive species if it were introduced and (3) combines establishment risk and eradication difficulty scores to rank waterbodies according to preventative management priority. As our focal species, we used giant salvinia (<i>Salvinia molesta</i>), a floating aquatic fern ranked among the worst weeds in the world due to its negative socio-ecological impacts and difficulty to eradicate once established.</li><li>Current establishment risk is low for much of our study area, but under future climate scenarios (RCP 8.5), areas with &gt;60% giant salvinia establishment risk increased from 546 km<sup>2</sup><span>&nbsp;</span>to 30,219 km<sup>2</sup><span>&nbsp;</span>between 2023 and 2040 in Arkansas.</li><li>We found giant salvinia establishment risk and eradication difficulty are independent of each other (<i>r</i> = 0.28), and it follows that, alone, early detection tools such as species distribution models are insufficient for managers to prioritize sites for EDRR.</li><li><i>Practical implication</i>: We envision our approach fitting into a potential EDRR workflow that cascades from broad- to local-scale. To illustrate, (1) horizon scanning and/or climate matching generates lists of high-risk invasive species; (2) species lists are narrowed according to eradication feasibility scores; (3) for all remaining species, all waterbodies across a geography of interest receive prioritization rankings based on establishment risk and eradication difficulty scores. Given that climate change makes predicting invasive species' distributions a moving target, combining co-produced eradication difficulty scoring with species distribution modelling will balance rigour with practicality when prioritizing locations for EDRR.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12362","usgsCitation":"Roberts, C.P., Grant, W., Horton, M., LaBrie, L.A., Peterson, M., Rogosch, J.S., and Wang, H., 2025, Balancing ecology and practicality to rank waterbodies for preventative invasive species management: Ecological Solutions and Evidence, v. 5, no. 3, e12362, 15 p., https://doi.org/10.1002/2688-8319.12362.","productDescription":"e12362, 15 p.","ipdsId":"IP-162789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12362","text":"Publisher Index Page"},{"id":480833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.73568703255195,\n              28.607717311343364\n            ],\n            [\n              -88.37813816656555,\n              30.102428374066577\n            ],\n            [\n              -89.62246350130985,\n              30.416822742847643\n            ],\n            [\n              -89.83391270505314,\n              30.9795777752782\n            ],\n            [\n              -90.46723103123068,\n              31.793376454744887\n            ],\n            [\n              -88.34979350352083,\n              36.46310793567055\n            ],\n            [\n              -88.53079243808438,\n              37.57249603534645\n            ],\n            [\n              -93.61108780124465,\n              37.370270117720594\n            ],\n            [\n              -94.41453771042441,\n              36.99928481542726\n            ],\n            [\n              -102.97017284240357,\n              36.950214199897886\n            ],\n            [\n              -102.92124549532824,\n              32.37125359201514\n            ],\n            [\n              -100.345274650602,\n              28.985033044209004\n            ],\n            [\n              -99.04874329888298,\n              26.953421338286873\n            ],\n            [\n              -97.12591449324768,\n              25.958042705296734\n            ],\n            [\n              -96.45639112234139,\n              28.006899099531154\n            ],\n            [\n              -93.98047836120853,\n              29.35083219571308\n            ],\n            [\n              -88.73568703255195,\n              28.607717311343364\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, William E.","contributorId":349674,"corporation":false,"usgs":false,"family":"Grant","given":"William E.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Matthew L.","contributorId":349675,"corporation":false,"usgs":false,"family":"Horton","given":"Matthew L.","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":924564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Miranda R.","contributorId":349679,"corporation":false,"usgs":false,"family":"Peterson","given":"Miranda R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hsiao-Hsuan","contributorId":349683,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255982,"text":"70255982 - 2025 - Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","interactions":[],"lastModifiedDate":"2025-01-13T16:02:35.654229","indexId":"70255982","displayToPublicDate":"2024-07-04T10:15:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","docAbstract":"<p><span>Along Mexico's arid Colorado River Delta, the riparian corridor lacks water due to a reduction in frequent flows, climate change, human infrastructure, and altered riparian landcover from disturbances to invasive species, fire, and high soil and water salinities, which have led to declines in riparian plant health in recent decades. Restoration efforts focusing on small plots have successfully revitalized habitat, which is the motivation for this research. Accurate estimations of water use by riparian vegetation are crucial in arid environments, where measuring actual evapotranspiration (ETa) poses a significant challenge in these narrow corridors. This study utilizes field-validated remote sensing techniques to quantify ETa at restoration sites. Our methods are twofold; we use the Landsat-8 two-band Enhanced Vegetation Index (EVI2) to monitor changes in vegetation greenness—a proxy of plant health—and we integrate EVI2 with potential evapotranspiration (ET) to calculate ETa. Our findings reveal a notable increase in vegetation greenness within the restoration sites over 9 years, with an average increase of 41.3%. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study also indicates a 22.1% increase in ETa in the restored areas, compared to a 30.8% reduction in the unrestored regions. Restored sites in reach 4 experienced ETa increases ranging from 9.2 to 12.2%, whereas their unrestored counterparts show a decline of 21.4%. Valuable estimates are provided of riparian greenness and water use that may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14226","usgsCitation":"Nagler, P.L., Sall, I., Gomez-Sapiens, M., Flessa, K.W., Barreto-Muñoz, A., and Didan, K., 2025, Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico: Restoration Ecology, v. 33, no. 1, e14226, 15 p., https://doi.org/10.1111/rec.14226.","productDescription":"e14226, 15 p.","ipdsId":"IP-162779","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14226","text":"Publisher Index Page"},{"id":430968,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.57136398622646,\n              32.62670123242762\n            ],\n            [\n              -115.25074823744065,\n              32.62670123242762\n            ],\n            [\n              -115.25074823744065,\n              31.840259349696495\n            ],\n            [\n              -114.57136398622646,\n              31.840259349696495\n            ],\n            [\n              -114.57136398622646,\n              32.62670123242762\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":906248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":906249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flessa, Karl W.","contributorId":175308,"corporation":false,"usgs":false,"family":"Flessa","given":"Karl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":906250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255721,"text":"70255721 - 2025 - Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","interactions":[],"lastModifiedDate":"2025-01-27T16:24:44.738971","indexId":"70255721","displayToPublicDate":"2024-07-03T10:41:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","docAbstract":"<p><span>Lake Superior has a vast and largely undeveloped watershed in comparison to the other Great Lakes, which makes it challenging to study mercury (Hg) sources and cycling. To examine Hg inputs to Lake Superior, we conducted an expansive binational assessment in 40 watersheds from a diverse range of landcover types. We further paired tributary Hg data to sediment source portfolios in the nearshore and offshore zones of Lake Superior through partnership with the Great Lakes Sediment Surveillance Program. We observed that total Hg loads were highest in the spring driven by the combination of elevated Hg concentrations and increased water discharge from snowmelt. In addition, total Hg concentrations in tributaries from remote, heavily forested regions, such as Pukaskwa National Park and the Minnesota Northshore, were higher than the Southshore and Thunder Bay regions. Methylmercury concentrations and loads were more spatially dependent, often corresponding to regions with more wetlands (e.g., Michigan Upper Peninsula). We estimated that the total Hg tributary load to Lake Superior in 2021 was 126&nbsp;kg per year. To further examine the fate of watershed Hg sources, we examined sediments from 28 sites in Lake Superior using Hg stable isotopes. At open water sites, precipitation was the primary Hg source to sediments, but within nearshore sites Hg originated predominantly from watershed runoff. This work further defines the sources and fate of Hg within Lake Superior and highlights how Hg delivery is intrinsically tied to varying hydrologic regimes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102381","usgsCitation":"Janssen, S., Tate, M., Dantoin, E.D., Filstrup, C.T., Reavie, E., Stewart, R.M., Robinson, C., Allan, C.J., Robertson, D., and Krabbenhoft, D.P., 2025, Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102381, 11 p., https://doi.org/10.1016/j.jglr.2024.102381.","productDescription":"102381, 11 p.","ipdsId":"IP-163575","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439302,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102381","text":"Publisher Index Page"},{"id":431223,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Ontario, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.94842126777587,\n              51\n            ],\n            [\n              -92.94842126777587,\n              45.903630478283674\n            ],\n            [\n              -83.39917261942563,\n              45.903630478283674\n            ],\n            [\n              -83.39917261942563,\n              51\n            ],\n            [\n              -92.94842126777587,\n              51\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":905433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reavie, Euan D","contributorId":332488,"corporation":false,"usgs":false,"family":"Reavie","given":"Euan D","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":905434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Robert M","contributorId":339866,"corporation":false,"usgs":false,"family":"Stewart","given":"Robert","email":"","middleInitial":"M","affiliations":[{"id":35506,"text":"Lakehead University","active":true,"usgs":false}],"preferred":false,"id":905435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Chris","contributorId":339867,"corporation":false,"usgs":false,"family":"Robinson","given":"Chris","email":"","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":905436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allan, Craig J","contributorId":339868,"corporation":false,"usgs":false,"family":"Allan","given":"Craig","email":"","middleInitial":"J","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":905437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905438,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":905439,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
]}