In 2021, we initiated fieldwork to assess the relative importance of a staging area for Sterna hirundo (Common Tern) at a pier at the confluence of the Patuxent River and Chesapeake Bay, MD. During the post-breeding periods of 2021 through 2023, we resighted 378 banded Common Terns at this staging area, with individuals originating from 6 breeding colonies. Most banded individuals were from Poplar Island, a major nesting site 50 km north of the pier, with up to 37% of that island's annual hatch-year population observed at this staging area. Additionally, biologists have previously observed staging terns at this site, suggesting these observations do not reflect a change in the species' behavior within the region. Cumulatively, our data suggest that this habitat acts as an important staging area for the Chesapeake Bay's Common Tern population, particularly for those nesting on Poplar Island.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.031.0413","usgsCitation":"Springer, B., Sullivan, J.D., Prosser, D.J., Rambo, K., and Price, J., 2025, Common Terns (Sterna hirundo) use of a staging site in the Chesapeake Bay: Northeastern Naturalist, v. 31, no. 4, p. 555-564, https://doi.org/10.1656/045.031.0413.","productDescription":"10 p.","startPage":"555","endPage":"564","ipdsId":"IP-169973","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Patuxent River, Poplar Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.47539729451665,\n 38.83723086335985\n ],\n [\n -76.47539729451665,\n 38.64818684791629\n ],\n [\n -76.33733194779678,\n 38.64818684791629\n ],\n [\n -76.33733194779678,\n 38.83723086335985\n ],\n [\n -76.47539729451665,\n 38.83723086335985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Benjamin","contributorId":347743,"corporation":false,"usgs":false,"family":"Springer","given":"Benjamin","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":922361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":922362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rambo, Kyle","contributorId":347745,"corporation":false,"usgs":false,"family":"Rambo","given":"Kyle","affiliations":[{"id":83224,"text":"Naval Air Station","active":true,"usgs":false}],"preferred":false,"id":922364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Price, J. Jordan","contributorId":347746,"corporation":false,"usgs":false,"family":"Price","given":"J. Jordan","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":922365,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268255,"text":"70268255 - 2025 - Factors regulating the potential for freshwater mineral soil wetlands to function as natural climate solutions","interactions":[],"lastModifiedDate":"2025-06-18T15:14:39.891801","indexId":"70268255","displayToPublicDate":"2025-01-08T08:09:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Factors regulating the potential for freshwater mineral soil wetlands to function as natural climate solutions","docAbstract":"There are increasing global efforts and initiatives aiming to tackle climate change and mitigate its impacts via natural climate solutions (NCS). Wetlands have been considered effective NCS given their capacity to sequester and retain atmospheric carbon dioxide (CO2) while also providing a myriad of other ecosystem functions that can assist in mitigating the impacts of climate change. However, wetlands have a dual impact on climate, influencing the atmospheric concentrations of both CO2 and methane (CH4). The cooling effect associated with wetland CO2 sequestration can be counterbalanced by the warming effect caused by CH4 emissions from wetlands. The relative ability of wetlands to sequester CO2 versus emit CH4 is dependent on a suite of interacting physical, chemical, and biological factors, making it difficult to determine if/which wetlands are considered important NCS. The fact that wetlands are embedded in landscapes with surface and subsurface hydrological connections to other wetlands (i.e., wetlandscapes) that flow over and through geochemically active soils and sediments adds a new layer of complexity and poses further challenges to understanding wetland carbon sequestration and greenhouse gas fluxes at large spatial scales. Our review demonstrates how additional scientific advances are required to understand the driving mechanisms associated with wetland carbon cycling under different environmental conditions. It is vital to understand wetland functionality at both wetland and wetlandscape scales to effectively implement wetlands as NCS to maximize ecological, social, and economic benefits.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-024-01893-6","usgsCitation":"Ma, S., Mistry, P., Badiou, P., Bansal, S., and Creed, I., 2025, Factors regulating the potential for freshwater mineral soil wetlands to function as natural climate solutions: Wetlands, v. 45, 11, 26 p., https://doi.org/10.1007/s13157-024-01893-6.","productDescription":"11, 26 p.","ipdsId":"IP-168393","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-024-01893-6","text":"Publisher Index Page"},{"id":490913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","noUsgsAuthors":false,"publicationDate":"2025-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ma, Shizhou","contributorId":332984,"corporation":false,"usgs":false,"family":"Ma","given":"Shizhou","email":"","affiliations":[],"preferred":false,"id":940612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mistry, Purbasha","contributorId":332986,"corporation":false,"usgs":false,"family":"Mistry","given":"Purbasha","email":"","affiliations":[],"preferred":false,"id":940613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Badiou, Pascal","contributorId":357028,"corporation":false,"usgs":false,"family":"Badiou","given":"Pascal","affiliations":[],"preferred":false,"id":940614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creed, Irena F.","contributorId":204051,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":940616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261984,"text":"sir20245120 - 2025 - Groundwater-storage change in the north Phoenix aquifer, Arizona, 2020–23","interactions":[],"lastModifiedDate":"2025-01-08T15:06:42.999733","indexId":"sir20245120","displayToPublicDate":"2025-01-07T14:39:14","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5120","displayTitle":"Groundwater-Storage Change in the North Phoenix Aquifer, Arizona, 2020–23","title":"Groundwater-storage change in the north Phoenix aquifer, Arizona, 2020–23","docAbstract":"The city of Phoenix, Arizona, relies primarily on surface water for municipal water supply. The city also maintains wells to withdraw groundwater, particularly in times of drought and reduced surface-water supply, and to recharge groundwater when excess surface water is available. As of 2023, withdrawals from the aquifer in the northeastern part of the city are a small volume of water, less than 3,000 acre-feet in most years. Each year a similar volume of water is recharged through injection wells. The withdrawal wells are permitted to produce in total more than 20,000 acre-feet per year; increased pumping could lead to future groundwater-storage declines.
To better understand groundwater-storage change in the north Phoenix aquifer, a repeat microgravity monitoring network was established in 2020. Measurements of changes in Earth’s gravity provide a direct, non-invasive measurement of subsurface mass change. Groundwater-storage changes were small during the 2020–23 study period, consistent with the relatively small volumes of pumping and recharge. Groundwater levels measured in monitoring wells were stable or increased slightly during this period, although the number of monitoring wells within the area of the gravity monitoring network is sparse. In total, about 15,000 acre-feet of water were pumped and 31,000 acre-feet recharged through injection in the north Phoenix aquifer during the 2020–22 period. Within the monitored area, groundwater storage increased by a small amount, about 1,000 acre-feet, in 2020, and decreased by a larger amount, about 6,000 acre-feet, each year in 2021 and 2022. Storage decreased at 89 of 102 stations from 2020 to 2023. Groundwater-storage decreases greater than the volume of net pumping indicate down-gradient subflow from the aquifer is greater than recharge plus incoming subflow, drying of the unsaturated zone resulting from decreased land-surface recharge, or both.
At present (2023), the aquifer appears able to store and supply the relatively small amounts of water needed without excessive drawdown or harmful effects, such as land subsidence and surface inundation. If pumping or recharge increases in the future, the established repeat microgravity network is well suited to capture the spatial extent and magnitude of groundwater-storage changes in the aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245120","collaboration":"Prepared in cooperation with the city of Phoenix Water Services","usgsCitation":"Kennedy, J.R., 2025, Groundwater-storage change in the north Phoenix aquifer, Arizona, 2020–23: U.S. Geological Survey Scientific Investigations Report 2024–5021, 18 p., https://doi.org/10.3133/sir20245120.","productDescription":"v, 18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-160459","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":466450,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96Q1OZG","text":"USGS data release","linkHelpText":"Repeat microgravity data from Phoenix, Arizona, 2020-2023"},{"id":465834,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5120/covrthb.jpg"},{"id":465835,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5120/sir20245120.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"North Phoenix aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.1,\n 33.8667\n ],\n [\n -112.1,\n 33.6\n ],\n [\n -111.8,\n 33.6\n ],\n [\n -111.8,\n 33.8667\n ],\n [\n -112.1,\n 33.8667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
This study documents lidar-illuminated topographic lineaments interpreted as evidence of recent surface fault ruptures and surface ruptures related to distributed deformation along the Bennett Valley Fault Zone and the southernmost Maacama Fault Zone in the northern San Francisco Bay area (fig. 1, on map sheet). Together, these fault zones form a structural connection across a right stepover between the main Maacama Fault Zone and the Rodgers Creek Fault, overlapping principal strands of the San Andreas plate boundary system north of San Francisco Bay (figs. 1, 2, on map sheet) that accommodate about a quarter of the ~40 millimeters per year of regional dextral tectonic slip (Parsons and others, 2013).
Although much of the Bennett Valley Fault Zone is seismically active (McLaughlin and others, 2012; Sowers and others, 2010), only the north end of the fault zone (the “Spring Valley strand,” indicated on southern map panel of map sheet and labeled “D” in figure 2, on map sheet) was previously known to have youthful geomorphic expression and to displace Holocene deposits (McLaughlin and others, 2008; Sowers and others, 2010; Sowers and others, 2016). Holocene activity along the length of the Bennett Valley Fault Zone and southernmost Maacama Fault Zone, with possible implications for rupture propagation, continuity, and slip transfer, had not been identified. However, fault splays that project eastward from the Rodgers Creek Fault have been mapped and hypothesized to accommodate slip transfer to the Bennett Valley Fault Zone (Hecker and Randolph Loar, 2018). The generally subtle and distributed nature of surface-rupture evidence along the Bennett Valley and southernmost Maacama Fault Zones, and extensive vegetation cover, had left recent faulting previously unmapped along most of the zone.
The map presented here represents a new compilation of inferred surface-rupture features detected using high-resolution topographic lidar data from an airborne lidar survey of Sonoma County, California (OpenTopography, 2014). These data, which enable subtle topographic features to be discerned, indicate that recent (likely Holocene) surface ruptures extend throughout the Bennett Valley and southernmost Maacama Fault Zones.
The rupture-lineament map was created using a GIS (geographic information system) framework and is included herein as an image map at a scale of 1:36,000 and as digital datasets (included as supplemental information to this report). The mapping is intended to lay the groundwork for future studies designed to better characterize how plate-boundary slip is accommodated on this important and complex system of faults.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3529","usgsCitation":"Hecker, S., 2024, Map of topographic lineaments interpreted as recent surface ruptures along the Bennett Valley and Southern Maacama Fault Zones, Sonoma County, California: U.S. Geological Survey Scientific Investigations Map 3529, scale 1:36,000, pamphlet 5 p., https://doi.org/10.3133/sim3529.","productDescription":"Pamphlet: iv, 5 p.; 1 Sheet: 50.91 x 40.68 inches; Supplemental Information","numberOfPages":"5","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143849","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":465535,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_sheet.pdf","text":"Sheet 1","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_pamphlet.pdf","text":"Pamphlet","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3529/covrthb.jpg"},{"id":465536,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_supInfo.zip","text":"Supplemental Information","size":"1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":492016,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118275.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Sonoma County","otherGeospatial":"Bennett Valley and Southern Maacama fault zones","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.125,\n 39\n ],\n [\n -123.125,\n 37.375\n ],\n [\n -121.5,\n 37.375\n ],\n [\n -121.5,\n 39\n ],\n [\n -123.125,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
U.S. Geological Survey
350 N. Akron Road
Moffett Field, CA 94035
Evaluating how weather, farm management, and soil conditions impact phosphorus (P) loss from agricultural sites is essential for improving our waterways in agricultural watersheds. In this study, rainfall characteristics, manure application timing, tillage, surface condition, and soil test phosphorus (STP) were analyzed to determine their effects on total phosphorus (TP) and dissolved phosphorus (DP) loss using 125 site-years of runoff data collected by the University of Wisconsin Discovery Farms and Discovery Farms Minnesota. Three linear mixed models (LMMs) were then used to evaluate the influence of those factors on TP and DP losses: (1) a model that included all runoff events, (2) manured sites only, and (3) precipitation events only. Results show that the timing of manure application relative to the timing of a runoff event only had a marginal association with P loads and concentrations, although the majority of the runoff events were collected after 10 days of manure application. Tillage was as influential factor, with greater DP loads and concentrations associated with no-till, especially during frozen conditions. Fields in this study had high STP values, but the model results only showed positive associations between DP load and DP flow-weighted mean concentration (FWMC) loss at the 0- to 15-cm depth. The precipitation event LMM (which included precipitation characteristics) was the model that resulted in the largest R2 value. While the predictive capacity of the LMMs was low, they did illuminate the relative importance of management and environmental variables on P loss, and can be used to guide future research on P loss in this region.
","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20662","usgsCitation":"Krueger, K., Thompson, A., Li, Q., Radatz, A., Cooley, E., Stuntebeck, T.D., Winslow, C., Oldfield, E., and Ruark, M., 2025, Exploring management and environment effects on edge-of-field phosphorus losses with linear mixed models: Journal of Environmental Quality, v. 54, no. 2, p. 450-464, https://doi.org/10.1002/jeq2.20662.","productDescription":"15 p.","startPage":"450","endPage":"464","ipdsId":"IP-154553","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466661,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20662","text":"Publisher Index Page"},{"id":466018,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.67253208931788,\n 46.453472239766626\n ],\n [\n -96.53357725011335,\n 43.52335979339341\n ],\n [\n -91.25197772229393,\n 43.462001703986346\n ],\n [\n -91.04740751323666,\n 42.83358085977116\n ],\n [\n -90.69567476916163,\n 42.6339355953327\n ],\n [\n -88.04201458813054,\n 42.48198884581308\n ],\n [\n -87.61145222121533,\n 43.8914402724194\n ],\n [\n -92.82542026317009,\n 45.7061001895253\n ],\n [\n -96.67253208931788,\n 46.453472239766626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Krueger, Kelsey 0000-0002-2412-0694","orcid":"https://orcid.org/0000-0002-2412-0694","contributorId":347852,"corporation":false,"usgs":false,"family":"Krueger","given":"Kelsey","affiliations":[{"id":83262,"text":"University of Wisconsin -Madison","active":true,"usgs":false}],"preferred":false,"id":922651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Anita 0000-0002-6202-1742","orcid":"https://orcid.org/0000-0002-6202-1742","contributorId":236844,"corporation":false,"usgs":false,"family":"Thompson","given":"Anita","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":922652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qiang","contributorId":197310,"corporation":false,"usgs":false,"family":"Li","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":922653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radatz, Amber","contributorId":217384,"corporation":false,"usgs":false,"family":"Radatz","given":"Amber","email":"","affiliations":[{"id":39612,"text":"UW Madison-Extension, UW Discovery Farms","active":true,"usgs":false}],"preferred":false,"id":922654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooley, Eric","contributorId":151059,"corporation":false,"usgs":false,"family":"Cooley","given":"Eric","email":"","affiliations":[{"id":18174,"text":"University of Wisconsin-Extension Discovery Farms","active":true,"usgs":false}],"preferred":false,"id":922655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","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":922656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winslow, Christopher J.","contributorId":347853,"corporation":false,"usgs":false,"family":"Winslow","given":"Christopher J.","affiliations":[{"id":83263,"text":"Ohio Sea Grant College Program","active":true,"usgs":false}],"preferred":false,"id":922657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oldfield, Emily 0000-0002-6181-1267","orcid":"https://orcid.org/0000-0002-6181-1267","contributorId":347854,"corporation":false,"usgs":false,"family":"Oldfield","given":"Emily","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":922658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruark, Matthew","contributorId":151056,"corporation":false,"usgs":false,"family":"Ruark","given":"Matthew","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":922659,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262101,"text":"70262101 - 2025 - Post-fire sediment yield from a western Sierra Nevada watershed burned by the 2021 Caldor Fire","interactions":[],"lastModifiedDate":"2025-01-14T15:40:44.912559","indexId":"70262101","displayToPublicDate":"2025-01-07T09:27:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire sediment yield from a western Sierra Nevada watershed burned by the 2021 Caldor Fire","docAbstract":"Watershed sediment yield commonly increases after wildfire, often causing negative impacts to downstream infrastructure and water resources. Post-fire erosion is important to understand and quantify because it is increasingly placing water supplies, habitat, communities, and infrastructure at risk as fire regimes intensify in a warming climate. However, measurements of post-fire sediment mobilization are lacking from many regions. We measured sediment yield from a forested, heavily managed 25.4-km2 watershed in the western Sierra Nevada, California, over 2 years following the 2021 Caldor Fire, by repeat mapping of a reservoir where sediment accumulated from terrain with moderate to high soil burn severity. Sediment yield was less than the geochronology-derived long-term average in the first year post-fire (conservatively estimated at 21.8–28.0 t/km2), low enough to be difficult to measure with uncrewed airborne system (UAS) and bathymetric sonar survey methods that are most effective at detecting larger sedimentary signals. In the second year post-fire the sediment delivery was 1,560–2,010 t/km2, an order of magnitude above long-term values, attributable to greater precipitation and intensive salvage logging. Hillslope erosion simulated by the Water Erosion Prediction Project (WEPP) model overestimated the measured amount by a factor of 90 in the first year and in the second year by a factor (1.9) that aligned with previously determined model performance in northern California. We encourage additional field studies, and validation of erosion models where feasible, to further expand the range of conditions informing post-fire hazard assessments and management decisions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EA003939","usgsCitation":"East, A.E., Logan, J.B., Dartnell, P., Dow, H.W., Lindsay, D.N., and Cavagnaro, D.B., 2025, Post-fire sediment yield from a western Sierra Nevada watershed burned by the 2021 Caldor Fire: Earth and Space Science, v. 12, no. 1, e2024EA003939, 23 p., https://doi.org/10.1029/2024EA003939.","productDescription":"e2024EA003939, 23 p.","ipdsId":"IP-168883","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ea003939","text":"Publisher Index Page"},{"id":466216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"2021 Caldor Fire burn zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.667,\n 39\n ],\n [\n -120.75,\n 39\n ],\n [\n -120.75,\n 38.5\n ],\n [\n -119.667,\n 38.5\n ],\n [\n -119.667,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":208208,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dow, Helen Willemien 0000-0001-6386-5560","orcid":"https://orcid.org/0000-0001-6386-5560","contributorId":299290,"corporation":false,"usgs":true,"family":"Dow","given":"Helen","email":"","middleInitial":"Willemien","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":923099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":923100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264245,"text":"70264245 - 2025 - Prioritizing chemicals of emerging concern in the Great Lakes Basin using covariance of chemical concentrations and diverse biological responses from a variety of species","interactions":[],"lastModifiedDate":"2025-03-10T14:26:58.704938","indexId":"70264245","displayToPublicDate":"2025-01-07T09:22:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing chemicals of emerging concern in the Great Lakes Basin using covariance of chemical concentrations and diverse biological responses from a variety of species","docAbstract":"The Great Lakes Restoration Initiative aims to protect and restore the nation’s largest freshwater resource, in part, by furthering our understanding of the effects of contaminants of emerging concern (CECs) and chemical mixtures on aquatic and terrestrial organisms. To address this goal, an interagency team conducted field studies at sites along the Maumee River in Ohio, USA, in 2016–2017, monitoring CEC levels along with diverse in vitro and in vivo biological effects in ecologically relevant species (fathead minnows, tree swallows, and golden clams). The objective of the present work was to prioritize the CECs in these studies for further monitoring and assessment by determining if there are patterns in chemical–bioeffect relations across data sets, species, and response types that indicate relatively high or low hazard to aquatic life from CEC exposure. Of the 748 monitored chemicals, 425 were detected and were analyzed for covariance with bioeffects. All 748 chemicals were placed into 10 bins based on their frequencies of monitoring, detection, and covariance with bioeffects across studies and species. We describe how chemicals can be prioritized across bins to aid monitoring and assessment efforts. Our approach using effects-based monitoring data is especially useful for prioritizing chemicals with little or no traditional toxicity testing data. Similar evidence-based prioritizations will allow agencies to more efficiently allocate limited resources to improve the ability to protect aquatic and terrestrial organisms from adverse impacts due to contaminant exposure.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae094","usgsCitation":"Vitense, K., Loken, L.C., Maloney, E., Blackwell, B., Collette, T.W., Corsi, S., Custer, C.M., Davenport, E., Kohno, S., and Hummel, S.E., 2025, Prioritizing chemicals of emerging concern in the Great Lakes Basin using covariance of chemical concentrations and diverse biological responses from a variety of species: Environmental Toxicology and Chemistry, v. 44, no. 3, p. 764-776, https://doi.org/10.1093/etojnl/vgae094.","productDescription":"13 p.","startPage":"764","endPage":"776","ipdsId":"IP-165045","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":487746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae094","text":"Publisher Index Page"},{"id":483135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.4,\n 41.75\n ],\n [\n -83.9,\n 41.75\n ],\n [\n -83.9,\n 41.35\n ],\n [\n -83.4,\n 41.35\n ],\n [\n -83.4,\n 41.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitense, Kelsey","contributorId":195720,"corporation":false,"usgs":false,"family":"Vitense","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":930184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, Erin C","contributorId":223418,"corporation":false,"usgs":false,"family":"Maloney","given":"Erin C","affiliations":[{"id":40713,"text":"USACE Chicago District","active":true,"usgs":false}],"preferred":false,"id":930186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":930187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collette, Timothy W.","contributorId":217482,"corporation":false,"usgs":false,"family":"Collette","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":930188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":930190,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davenport, Erik","contributorId":245994,"corporation":false,"usgs":false,"family":"Davenport","given":"Erik","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":930191,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kohno, Satomi","contributorId":264174,"corporation":false,"usgs":false,"family":"Kohno","given":"Satomi","email":"","affiliations":[],"preferred":false,"id":930192,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hummel, Stephanie E.","contributorId":244149,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":930193,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70262108,"text":"70262108 - 2025 - Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability","interactions":[],"lastModifiedDate":"2025-01-14T15:24:57.27176","indexId":"70262108","displayToPublicDate":"2025-01-07T09:20:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability","docAbstract":"As climate change accelerates, understanding which species are most vulnerable and why they are vulnerable will be vital to inform conservation action. Climate change vulnerability assessments (CCVAs) are tools to assess species' responses to climate change, detect drivers of vulnerability, and inform conservation planning. CCVAs are commonly composed of three elements: exposure, sensitivity, and adaptive capacity. Incorporating all three elements can be challenging, and including only two of the three elements may be a more feasible approach in many systems. Although two-element CCVA approaches have become more common, their utility and procedures remain poorly documented. We conducted a literature review to explore the scope, methods, and rationale of CCVAs that use a two-element approach to assess vertebrate vulnerability. Despite the potential to expand CCVAs into understudied systems, two-element assessments had similar geographic and taxonomic biases as those previously detected in CCVAs in general. Methods varied, yet we found that variables used in two-element studies could be condensed into standardized categories to enhance comparability. Finally, limitations in data availability and computational resources were common rationales for using a two-element approach. By clarifying the purposes, opportunities, and limitations of two-element assessment, this review can aid in selecting appropriate methods for CCVAs.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13293","usgsCitation":"Hyman, A., Crone, E., Benson, A., Dunham, J., Lynch, A., Thompson, L., and Mims, M.C., 2025, Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability: Conservation Science and Practice, v. 7, no. 1, e13293, 14 p., https://doi.org/10.1111/csp2.13293.","productDescription":"e13293, 14 p.","ipdsId":"IP-146253","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":466663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13293","text":"Publisher Index Page"},{"id":466214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyman, Amanda A.","contributorId":348177,"corporation":false,"usgs":false,"family":"Hyman","given":"Amanda A.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":923119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crone, Erin R.","contributorId":348203,"corporation":false,"usgs":false,"family":"Crone","given":"Erin R.","affiliations":[],"preferred":false,"id":923201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":923120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":923121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":923122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":212190,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":923123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mims, Meryl C. 0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":923124,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263314,"text":"70263314 - 2025 - A landscape-scale view of soil organic matter dynamics","interactions":[],"lastModifiedDate":"2025-02-05T14:57:21.534225","indexId":"70263314","displayToPublicDate":"2025-01-07T08:53:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"A landscape-scale view of soil organic matter dynamics","docAbstract":"Soil carbon is an important component of the terrestrial carbon cycle and could be augmented through improved soil management to mitigate climate change. However, data gaps for numerous regions and a lack of understanding of the heterogeneity of biogeochemical processes across diverse soil landscapes hinder the development of large-scale representations of soil organic matter (SOM) dynamics. In this Perspective, we outline how understanding soil formation processes and complexity at the landscape scale can inform predictions of soil organic matter (SOM) cycling and soil carbon sequestration. Long-term alterations of the soil matrix caused by weathering and soil redistribution vary across climate zones and ecosystems, but particularly with the structure of landscapes at the regional scale. Thus, oversimplified generalizations that assume that the drivers of SOM dynamics can be scaled directly from local to global regimes and vice versa leads to large uncertainties in global projections of soil C stocks. Data-driven models with enhanced coverage of underrepresented regions, particularly where soils are physicochemically distinct and environmental change is most rapid, are key to understanding C turnover and stabilization at landscape scales to better predict global soil carbon dynamics.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00621-2","usgsCitation":"Doetterl, S., Berhe, A., Heckman, K., Lawrence, C., Schnecker, J., Vargas, R., Vogel, C., and Wagai, R., 2025, A landscape-scale view of soil organic matter dynamics: Nature Reviews Earth & Environment, v. 6, p. 67-81, https://doi.org/10.1038/s43017-024-00621-2.","productDescription":"15 p.","startPage":"67","endPage":"81","ipdsId":"IP-165053","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":481698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Doetterl, Sebastian","contributorId":240712,"corporation":false,"usgs":false,"family":"Doetterl","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":926296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berhe, Asmeret Asefaw","contributorId":350541,"corporation":false,"usgs":false,"family":"Berhe","given":"Asmeret Asefaw","affiliations":[{"id":83765,"text":"UC Merced, CA, USA","active":true,"usgs":false}],"preferred":false,"id":926297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heckman, Katherine","contributorId":350542,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":926298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnecker, Jörg","contributorId":350543,"corporation":false,"usgs":false,"family":"Schnecker","given":"Jörg","affiliations":[{"id":39691,"text":"University of Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":926300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vargas, Rodrigo","contributorId":350544,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[{"id":83766,"text":"University of Delaware, DE, USA","active":true,"usgs":false}],"preferred":false,"id":926301,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vogel, Cordula","contributorId":350545,"corporation":false,"usgs":false,"family":"Vogel","given":"Cordula","affiliations":[{"id":83767,"text":"Technical University, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":926302,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagai, Rota","contributorId":350546,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","affiliations":[{"id":83768,"text":"National Ag. & Food Research Org., Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":926303,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264076,"text":"70264076 - 2025 - Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times","interactions":[],"lastModifiedDate":"2025-03-26T16:04:36.884619","indexId":"70264076","displayToPublicDate":"2025-01-07T08:45:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times","docAbstract":"Because of similarities between locating an earthquake with seismic stations and locating a Global Positioning System (GPS) receiver from satellites, the Bancroft algorithm developed for GPS processing can be used to locate earthquakes. Such an approach to earthquake location differs from the conventional method of choosing an initial or trial solution and then iteratively improving the solution until convergence. The Bancroft algorithm has the advantage of being a direct, noniterative solution but with the disadvantage of only being able to accommodate a homogeneous velocity model. An additional limitation of the standard Bancroft algorithm is that it considers arrival times in a medium with a single propagation velocity. This poses no problem for GPS processing because electromagnetic waves travel at the speed of light; however, for seismic waves it means the algorithm can be applied to collections of either P‐ or S‐wave arrival times. Here, I show how the Bancroft algorithm can be generalized to handle both P‐ and S‐wave arrival‐time measurements simultaneously. I also show how to accommodate depth‐varying P‐ and S‐wave velocity models. I apply the generalized Bancroft algorithm to microearthquakes beneath Tanaga Volcano in Alaska and compare standard locations from the widely used HYPOINVERSE location code to Bancroft locations and to the output of HYPOINVERSE when setting the trial location to the Bancroft location. I find the Bancroft locations outperform the results from the other methods for shallow earthquakes near sea level, where a quantity known as the geometric dilution of precision is large and linearized approaches such as HYPOINVERSE are expected to struggle.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120240058","usgsCitation":"Haney, M.M., 2025, Generalized Bancroft algorithm for locating earthquakes with P- and S-wave arrival times: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 367-378, https://doi.org/10.1785/0120240058.","productDescription":"12 p.","startPage":"367","endPage":"378","ipdsId":"IP-164648","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanaga Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -178.29779673489296,\n 51.943189947842825\n ],\n [\n -178.29779673489296,\n 51.5889322915815\n ],\n [\n -177.61515092108772,\n 51.5889322915815\n ],\n [\n -177.61515092108772,\n 51.943189947842825\n ],\n [\n -178.29779673489296,\n 51.943189947842825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929686,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262111,"text":"70262111 - 2025 - Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems","interactions":[],"lastModifiedDate":"2025-01-14T15:19:09.571057","indexId":"70262111","displayToPublicDate":"2025-01-07T08:12:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17114,"text":"Natural Hazards and Earth Systems Sciences (NHESS)","active":true,"publicationSubtype":{"id":10}},"title":"Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems","docAbstract":"Although rainfall-triggered landslides are initiated by subsurface hydro-mechanical processes related to the loading, weakening, and eventual failure of slope materials, most landslide early warning systems (LEWS) have relied solely on rainfall event information. In previous decades, several studies demonstrated the value of integrating proxies for subsurface hydrologic information to improve rainfall-based forecasting of shallow landslides. More recently, broader access to commercial sensors and telemetry for real-time data transmission has invigorated new research into hydrometeorological thresholds for LEWS. Given the increasing number of studies across the globe using hydrologic monitoring, mathematical modeling, or both in combination, it is now possible to make some insights into the advantages versus limitations of this approach. The extensive progress demonstrates the value of in situ hydrologic information for reducing both failed and false alarms, through the ability to characterize infiltration during, as well as the drainage and drying processes between major storm events. There are also some areas for caution surrounding the long-term sustainability of subsurface monitoring in landslide-prone terrain, as well as unresolved questions in hillslope hydrologic modeling, which relies heavily on the assumptions of diffuse flow and vertical infiltration but often ignores preferential flow and lateral drainage. Here, we share a collective perspective based on our previous collaborative work across Europe, North America, Africa, and Asia to discuss these challenges and provide some guidelines for integrating knowledge of hydrology and climate into the next generation of LEWS. We propose that the greatest opportunity for improvement is through a measure-and-model approach to develop an understanding of landslide hydro-climatology that accounts for local controls on subsurface storage dynamics. Additionally, new efforts focused on the subsurface hydrology are complementary to existing rainfall-based methods, so leveraging these with near-term precipitation forecasts is a priority for increasing lead times.","language":"English","publisher":"EGU-Copernicus Publications","doi":"10.5194/nhess-25-169-2025","usgsCitation":"Mirus, B., Bogaard, T., Greco, R., and Stähli, M., 2025, Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems: Natural Hazards and Earth Systems Sciences (NHESS), v. 25, no. 1, p. 169-182, https://doi.org/10.5194/nhess-25-169-2025.","productDescription":"14 p.","startPage":"169","endPage":"182","ipdsId":"IP-159239","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":466664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-25-169-2025","text":"Publisher Index Page"},{"id":466212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Sitka","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.68999201861402,\n 58.275013995525285\n ],\n [\n -136.68999201861402,\n 56.12160659807034\n ],\n [\n -134.31603477353784,\n 56.12160659807034\n ],\n [\n -134.31603477353784,\n 58.275013995525285\n ],\n [\n -136.68999201861402,\n 58.275013995525285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":923125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogaard, Thom","contributorId":348180,"corporation":false,"usgs":false,"family":"Bogaard","given":"Thom","affiliations":[{"id":33885,"text":"Delft University of Technology, Netherlands","active":true,"usgs":false}],"preferred":false,"id":923126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greco, Roberto","contributorId":348181,"corporation":false,"usgs":false,"family":"Greco","given":"Roberto","affiliations":[{"id":83312,"text":"University of Campania, Italy","active":true,"usgs":false}],"preferred":false,"id":923127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stähli, Manfred","contributorId":348182,"corporation":false,"usgs":false,"family":"Stähli","given":"Manfred","affiliations":[{"id":83313,"text":"Swiss Federal Research Institute (WSL)","active":true,"usgs":false}],"preferred":false,"id":923128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261986,"text":"70261986 - 2025 - Understanding the influence of image enhancement on underwater object detection: A quantitative and qualitative study","interactions":[],"lastModifiedDate":"2025-01-08T15:12:36.034936","indexId":"70261986","displayToPublicDate":"2025-01-07T08:07:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the influence of image enhancement on underwater object detection: A quantitative and qualitative study","docAbstract":"Underwater image enhancement is often perceived as a disadvantageous process to object detection. We propose a novel analysis of the interactions between enhancement and detection, elaborating on the potential of enhancement to improve detection. In particular, we evaluate object detection performance for each individual image rather than across the entire set to allow a direct performance comparison of each image before and after enhancement. This approach enables the generation of unique queries to identify the outperforming and underperforming enhanced images compared to the original images. To accomplish this, we first produce enhanced image sets of the original images using recent image enhancement models. Each enhanced set is then divided into two groups: (1) images that outperform or match the performance of the original images and (2) images that underperform. Subsequently, we create mixed original-enhanced sets by replacing underperforming enhanced images with their corresponding original images. Next, we conduct a detailed analysis by evaluating all generated groups for quality and detection performance attributes. Finally, we perform an overlap analysis between the generated enhanced sets to identify cases where the enhanced images of different enhancement algorithms unanimously outperform, equally perform, or underperform the original images. Our analysis reveals that, when evaluated individually, most enhanced images achieve equal or superior performance compared to their original counterparts. The proposed method uncovers variations in detection performance that are not apparent in a whole set as opposed to a per-image evaluation because the latter reveals that only a small percentage of enhanced images cause an overall negative impact on detection. We also find that over-enhancement may lead to deteriorated object detection performance. Lastly, we note that enhanced images reveal hidden objects that were not annotated due to the low visibility of the original images.","language":"English","publisher":"MDPI","doi":"10.3390/rs17020185","usgsCitation":"Saleem, A., Awad, A., Paheding, S., Lucas, E., Havens, T., and Esselman, P., 2025, Understanding the influence of image enhancement on underwater object detection: A quantitative and qualitative study: Remote Sensing, v. 17, no. 2, 185, 17 p., https://doi.org/10.3390/rs17020185.","productDescription":"185, 17 p.","ipdsId":"IP-173511","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17020185","text":"Publisher Index Page"},{"id":465876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Saleem, Ashraf","contributorId":347827,"corporation":false,"usgs":false,"family":"Saleem","given":"Ashraf","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":922553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Awad, Ali","contributorId":347828,"corporation":false,"usgs":false,"family":"Awad","given":"Ali","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":922554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paheding, Sidike","contributorId":347829,"corporation":false,"usgs":false,"family":"Paheding","given":"Sidike","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":922555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucas, Evan","contributorId":347830,"corporation":false,"usgs":false,"family":"Lucas","given":"Evan","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":922556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Havens, Timothy C.","contributorId":347831,"corporation":false,"usgs":false,"family":"Havens","given":"Timothy C.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":922557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":922558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275131,"text":"70275131 - 2025 - Apportionment of oxygen demand contributions from aircraft and pavement deicer freezing point depressants in airport runoff, Milwaukee, Wisconsin, 2005–2022","interactions":[],"lastModifiedDate":"2026-04-16T15:18:08.415215","indexId":"70275131","displayToPublicDate":"2025-01-06T10:12:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Apportionment of oxygen demand contributions from aircraft and pavement deicer freezing point depressants in airport runoff, Milwaukee, Wisconsin, 2005–2022","docAbstract":"Aircraft anti-icers and pavement deicers improve the safety of airport operations during winter precipitation events. Runoff containing these products can contribute elevated biochemical oxygen demand (BOD) to receiving streams. We monitored runoff from Milwaukee Mitchell International Airport at one upstream site, three outfall sites, and one downstream site from 2005 to 2022 for BOD, chemical oxygen demand (COD), and freezing point depressants used in deicing and anti-icing fluids to determine the primary sources of BOD and COD in the receiving stream. The greatest concentrations of BOD, COD, and freezing point depressants occurred at the primary outfall, which drains the main terminal area, and the secondary outfall, which drains cargo operations. The greatest loadings occurred at the primary outfall; loadings were an order of magnitude less at the secondary outfall due to a small drainage area with relatively low flow volumes. At the three outfalls, median concentrations of five-day BOD (BOD5) and COD were 100–1,300 mg L−1 and 200–2,100 mg L−1 respectively. Apportionment computations indicated that propylene glycol from aircraft deicers and anti-icers was responsible for at least half of the BOD5 and COD concentrations and loadings. Acetate from pavement deicers contributed another 7%–15% at each site. These findings suggest that management actions in the primary outfall drainage area that target propylene glycol–containing deicers have the greatest potential to decrease BOD5 in airport runoff. This work demonstrates the usefulness of BOD and COD apportionment for identifying the deicing products and locations within an airport to prioritize for reduction or recovery and treatment.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/inteam/vjae047","usgsCitation":"LaFond-Hudson, S., Corsi, S., and Rutter, T., 2025, Apportionment of oxygen demand contributions from aircraft and pavement deicer freezing point depressants in airport runoff, Milwaukee, Wisconsin, 2005–2022: Integrated Environmental Assessment and Management, v. 21, no. 3, p. 594-603, https://doi.org/10.1093/inteam/vjae047.","productDescription":"10 p.","startPage":"594","endPage":"603","ipdsId":"IP-172192","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/inteam/vjae047","text":"Publisher Index Page"},{"id":502936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee Mitchell International Airport","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.92686151490732,\n 42.894925748462015\n ],\n [\n -87.86826880943562,\n 42.89723160465789\n ],\n [\n -87.8714163514651,\n 42.96725304474941\n ],\n [\n -87.95301032561336,\n 43.011706312229194\n ],\n [\n -87.98908599964358,\n 42.992228758040625\n ],\n [\n -87.92686151490732,\n 42.894925748462015\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"LaFond-Hudson, Sophia 0000-0002-0860-2546","orcid":"https://orcid.org/0000-0002-0860-2546","contributorId":356735,"corporation":false,"usgs":true,"family":"LaFond-Hudson","given":"Sophia","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":306215,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264792,"text":"70264792 - 2025 - Metal-rich lacustrine sediments from legacy mining perpetuate copper exposure to aquatic-riparian food webs","interactions":[],"lastModifiedDate":"2025-03-24T15:15:08.725175","indexId":"70264792","displayToPublicDate":"2025-01-06T10:12:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Metal-rich lacustrine sediments from legacy mining perpetuate copper exposure to aquatic-riparian food webs","docAbstract":"Historic copper mining left a legacy of metal-rich tailings resulting in ecological impacts along and within Torch Lake, an area of concern in the Keweenaw Peninsula, Michigan, USA. Given the toxicity of copper to invertebrates, this study assessed the influence of this legacy on present day nearshore aquatic and terrestrial ecosystems. We measured the metal (Co, Cu, Ni, Zn, Cd) and metalloid (As) concentrations in sediment, pore water, surface water, larval and adult insects, and two riparian spider taxa collected from Torch Lake and a nearby reference lake. Overall, elevated metal and metalloid concentrations, particularly Cu, were measured in all sediment samples and some surface and pore water samples collected from Torch Lake. For instance, Cu concentrations in the Torch Lake sediment were ∼200% higher than the reference lake and all measured concentrations exceeded predicted effects concentrations by at least ninefold. Within larval insect tissues, we observed 160% higher Cu concentrations than measured in the reference lake, and Cu was the only measured element above predicted effects concentrations in Torch Lake. Adult insects collected at both lakes had similar metal concentrations irrespective of exposure levels. Yet we found 100% higher copper concentrations in Torch Lake riparian spiders, demonstrating elevated exposure risk to insectivores across the aquatic-terrestrial boundary. Our results highlight that other metals in the mixture may not be as concerning to adjacent riparian ecosystems, but copper remains a contaminant of concern in Torch Lake 60 years after mining ceased.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/inteam/vjae023","usgsCitation":"Perrotta, B.G., Kidd, K.A., Campbell, K.M., Croteau, M.N., Kane, T., Marcarelli, A., McCleskey, R., Paterson, G., Stricker, C.A., and Walters, D., 2025, Metal-rich lacustrine sediments from legacy mining perpetuate copper exposure to aquatic-riparian food webs: Integrated Environmental Assessment and Management, v. 21, no. 2, p. 414-424, https://doi.org/10.1093/inteam/vjae023.","productDescription":"11 p.","startPage":"414","endPage":"424","ipdsId":"IP-162301","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.mtu.edu/michigantech-p2/1420","text":"Publisher Index Page"},{"id":483716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Keweenaw Peninsula, Torch Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.39059185784572,\n 47.193929098280194\n ],\n [\n -88.40680733939881,\n 47.19487803718532\n ],\n [\n -88.4300122526558,\n 47.17473802981718\n ],\n [\n -88.45978723171494,\n 47.150306379141526\n ],\n [\n -88.46223353281127,\n 47.13961178665928\n ],\n [\n -88.4590882885447,\n 47.130818916798404\n ],\n [\n -88.45153970230429,\n 47.131101806232955\n ],\n [\n -88.43113056172831,\n 47.155728212429736\n ],\n [\n -88.41072142115289,\n 47.150310604906245\n ],\n [\n -88.40485029852168,\n 47.15439926382797\n ],\n [\n -88.39143058965003,\n 47.17910442718053\n ],\n [\n -88.39059185784572,\n 47.193929098280194\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":931698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kidd, Karen A.","contributorId":201554,"corporation":false,"usgs":false,"family":"Kidd","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":931699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":931700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":931701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Tyler 0000-0003-2511-7312 tkane@usgs.gov","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":195588,"corporation":false,"usgs":true,"family":"Kane","given":"Tyler","email":"tkane@usgs.gov","affiliations":[],"preferred":true,"id":931702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marcarelli, Amy M.","contributorId":272244,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy M.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":931703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":931704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paterson, Gordon","contributorId":347134,"corporation":false,"usgs":false,"family":"Paterson","given":"Gordon","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":931705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":931707,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70262760,"text":"70262760 - 2025 - Challenges and opportunities for data integration to improve estimation of migratory connectivity","interactions":[],"lastModifiedDate":"2025-02-11T15:46:13.615241","indexId":"70262760","displayToPublicDate":"2025-01-06T10:12:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and opportunities for data integration to improve estimation of migratory connectivity","docAbstract":"Protection of critically endangered species requires identification of factors limiting their survival and growth. Previous studies have demonstrated that unionid mussels are sensitive to some chemicals and the sensitivity was similar among different taxonomic families and tribes of mussels. However, common species of mussels were generally used in these previous studies; little is known about the sensitivity of endangered and threatened mussels relative to common species. The objective of this study was to evaluate the sensitivity of a critically endangered mussel (Tennessee bean, Venustaconcha trabalis) to seven chemicals with different modes of toxic action (ammonia, chloride, nitrite, potassium, cobalt, manganese, nickel) in acute 96-h exposures and to three chemicals (nitrite, cobalt, iron) in chronic 28-d exposures conducted following standard methods. A commonly tested mussel (fatmucket, Lampsilis siliquoidea) was also tested side-by-side with Tennessee bean in chronic exposures. Test chemicals were selected based on (1) chemicals of potential concern found in a review of existing data for the river where a population of Tennessee bean occurs or was historically present, (2) chemicals to which other mussels are sensitive, or (3) chemicals that had not been previously tested with mussels. Acute 50% effect concentrations (EC50s) for the seven chemicals from the Tennessee bean tests were within or close to the range of EC50s for other mussel species tested in previous studies, and chronic 20% effect concentrations for the three chemicals were similar between Tennessee bean and fatmucket, indicating the endangered species has sensitivity similar to other tested mussel species. Inclusion of the new mussel data in existing toxicity databases for freshwater organisms would rank one or more mussel species among the four most sensitive species to ammonia, chloride, potassium, and nickel in acute exposures and to nitrite, cobalt, and iron in chronic exposures.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae092","usgsCitation":"Wang, N., Ivey, C.D., Cleveland, D.M., Kunz, J.L., Schapansky, R., Lane, T.W., and Barnhart, M., 2025, Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgae092.","ipdsId":"IP-170240","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae092","text":"Publisher Index Page"},{"id":482561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schapansky, Rebecca","contributorId":351559,"corporation":false,"usgs":false,"family":"Schapansky","given":"Rebecca","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":928914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, Timothy W.","contributorId":333081,"corporation":false,"usgs":false,"family":"Lane","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":79722,"text":"Virginia Department of Wildlife Resoures","active":true,"usgs":false}],"preferred":false,"id":928915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, M. 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The stratigraphic unit associated with the development of the marsh also reflects the long-term importance of key ecosystem services supplied by the marsh environment, including carbon storage and storm mitigation. Mapping these coastal wetland sediments and the marsh unit thickness is challenging as traditional coastal geophysical tools are not easily deployable (acoustic methods) or are unreliable in saline-soil environments (e.g., ground-penetrating radar), leaving core-based methods the most viable mapping method. In the present study, we utilized prior information on the geologic architecture of the region to select spatial and physical metrics that likely persisted throughout evolution of the marsh during the late Holocene. We then assessed the individual and collective power of these metrics to predict marsh thickness observed from cores. Employing regressive predictive models powered by these data, we improve the quantification of marsh thickness for a coastal fringing marsh within the Grand Bay estuary in Mississippi and Alabama (USA). The information gained from this approach yields improved estimates of the carbon stocks in this environment. Additionally, the stored sediment masses reflect the past, and potential future, persistence of the Grand Bay marsh under historical and present marsh-estuarine sediment exchange fluxes. Such improvements to both the sediment budget of recent marsh stratigraphic units and the spatial extent provide new resources for comparison with large-scale landscape models, the latter of which may be used, when validated, to predict future change and ecosystem transformations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.acags.2024.100215","usgsCitation":"Smith, C., Bernier, J., Ellis, A.M., and Smith, K., 2025, Predictive regressive models of recent marsh sediment thickness improve the quantification of coastal marsh sediment budgets: Applied Computing and Geosciences., v. 25, 100215, 12 p., https://doi.org/10.1016/j.acags.2024.100215.","productDescription":"100215, 12 p.","ipdsId":"IP-168346","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490116,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2024.100215","text":"Publisher Index Page"},{"id":482794,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama. 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This represents a challenge to environmental managers, who must prioritize chemicals for management actions (e.g., restriction, regulation, remediation) but are often hindered by resource limitations. To help facilitate prioritization efforts, this study presents several strategies for deriving environmental hazard concentrations using publicly accessible data and open-source computational tools. Using a Great Lakes tributaries aquatic monitoring dataset as a case study, environmental hazard concentrations were obtained or derived for 334 organic chemicals. These concentrations were based on (1) current water quality guidelines; (2) apical screening values; (3) apical and (4) nonapical effect concentrations from the ECOTOXicology Knowledgebase; (5) in vitro effect concentrations from the ToxCast database; (6) cytotoxic burst concentrations collated from the Comptox Dashboard; (7) “estimated screening values” derived from modeled or estimated data and available from various regulatory and nonregulatory agencies; (8) pharmaceutical potency estimates from the MaPPFAST database; and (9) quantitative structure-activity relationship (QSAR)–derived acute toxicity estimates. Environmental fate data included aquatic half-lives and bioconcentration factors collated from the Comptox Dashboard or estimated using QSARs. To identify patterns that could be used for characterization, availability of ecotoxicological concentrations and environmental fate data were evaluated. Furthermore, exceedances of hazard concentrations were evaluated and compared across diverse ecotoxicological data types. Altogether, by providing detailed methodology and practical examples generated with real monitoring data, this study demonstrated that these hazard concentration derivation strategies can be efficiently and effectively used with large, complex datasets and identified critical considerations for future prioritization efforts.
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effluent","interactions":[],"lastModifiedDate":"2025-09-16T15:17:24.885811","indexId":"70271467","displayToPublicDate":"2025-01-06T08:09:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent","docAbstract":"Surface water concentrations of per- and polyfluoroalkyl substances (PFAS) and potential for resulting biological effects were estimated in a study using polar organic chemical integrative samplers (POCIS) from 60 tributary sites within 20 watersheds in the Great Lakes Basin in 2018. Sites represented a range of urban to agricultural, forested, and wetland land uses and included a gradient of wastewater treatment effluent from zero to 44% of annual streamflow. Several sites also had airport influence. Twenty-one of 32 targeted PFAS compounds were detected in POCIS samplers, of which, 16 had available POCIS sampling rates, enabling time-weighted water concentration estimates and comparison with available effects data. Estimated water concentrations were compared with published water quality guidelines (available for nine PFAS), effect concentrations reported in primary literature within the ECOTOX Knowledgebase for apical endpoints (10 PFAS) and nonapical endpoints (10 PFAS), and in vitro high-throughput screening data from the U.S. Environmental Protection Agency Toxicity Forecaster (ToxCast; 14 PFAS). Based on a conservative evaluation approach that was also weighted for persistence and limitations in available toxicological information, five individual PFAS, including perfluorooctanesulfonic acid, perfluorohexanesulfonic acid, perfluorobutanesulfonic acid, perfluorooctanoic acid, and perfluorononanoic acid were identified as warranting additional investigation. Possible increased potency of PFAS mixtures over individual chemical effects, estimated by summation of exposure-activity ratios (EARs) for chemicals that influence common ToxCast assays and specified gene targets, indicated that EAR values increased up to 5.6-fold over individual chemicals, with up to 14 chemicals contributing to mixture effect predictions. Potential for biological effects from PFAS, as estimated by summed exposure-activity ratios, were correlated with urban land use and the proportion of streamflow contributed by wastewater effluent.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgae053","usgsCitation":"Corsi, S., Loken, L.C., Ankley, G.T., Alvarez, D.A., and Villeneuve, D.L., 2025, Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent: Environmental Toxicology and Chemistry, v. 44, no. 6, p. 1706-1722, https://doi.org/10.1093/etojnl/vgae053.","productDescription":"17 p.","startPage":"1706","endPage":"1722","ipdsId":"IP-159605","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":495738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae053","text":"Publisher Index Page"},{"id":495602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United Staes","otherGeospatial":"Great Lakes tributaries","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.57691865567881,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 49.80505886092908\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ankley, Gerald T.","contributorId":361472,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald","middleInitial":"T.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villeneuve, Daniel L.","contributorId":361475,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263760,"text":"70263760 - 2025 - Fishy factors: Recognizing biological variation and its implications for fish immuno(eco)toxicology research","interactions":[],"lastModifiedDate":"2025-03-25T15:57:26.819582","indexId":"70263760","displayToPublicDate":"2025-01-06T08:03:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Fishy factors: Recognizing biological variation and its implications for fish immuno(eco)toxicology research","docAbstract":"No abstract available.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae085","usgsCitation":"Jimoh, R., Smith, C., Blazer, V., Corrales, J., Hogan, N., Rodgers, M., Wise, C., and Sellin Jeffries, M., 2025, Fishy factors: Recognizing biological variation and its implications for fish immuno(eco)toxicology research: Environmental Toxicology and Chemistry, v. 44, no. 4, p. 872-879, https://doi.org/10.1093/etojnl/vgae085.","productDescription":"8 p.","startPage":"872","endPage":"879","ipdsId":"IP-164504","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487665,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae085","text":"Publisher Index Page"},{"id":482327,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Jimoh, Rashidat O.","contributorId":351197,"corporation":false,"usgs":false,"family":"Jimoh","given":"Rashidat O.","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":928143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Cheyenne Rose 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":303309,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne Rose","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":928144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":928145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corrales, Jone","contributorId":351198,"corporation":false,"usgs":false,"family":"Corrales","given":"Jone","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":928146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogan, Natacha S.","contributorId":351199,"corporation":false,"usgs":false,"family":"Hogan","given":"Natacha S.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":928147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodgers, Maria L.","contributorId":351200,"corporation":false,"usgs":false,"family":"Rodgers","given":"Maria L.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wise, Catherine","contributorId":351201,"corporation":false,"usgs":false,"family":"Wise","given":"Catherine","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":928149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sellin Jeffries, Marlo K.","contributorId":351202,"corporation":false,"usgs":false,"family":"Sellin Jeffries","given":"Marlo K.","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":928150,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265972,"text":"70265972 - 2025 - Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.","interactions":[],"lastModifiedDate":"2025-04-22T17:24:42.248319","indexId":"70265972","displayToPublicDate":"2025-01-05T12:21:52","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":"Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.","docAbstract":"Coastal marsh loss occurs at an alarming pace globally, with extremely high rates along the northern Gulf of Mexico, particularly in Louisiana. In Louisiana, marsh creation projects combat wetland loss; however, biotic responses of vegetation and wildlife receive little to no consideration during and after construction. Habitat characteristics such as hydrologic processes, plant composition, and habitat structure affect the abundance of marsh birds, and understanding these features is important when creating suitable habitat for marsh birds. Our study compared hydrologic characteristics, plant composition, and habitat structure between created (n = 10) and reference (n = 9) sites across southeastern Louisiana and determined the relationship of these habitat characteristics to marsh bird relative abundance. We performed bird surveys (n = 766), including call-back surveys for secretive marsh birds, at all sites across three breeding seasons (2021–2023). We used drone imagery to determine plant composition and used water level recording devices to assess hydrologic characteristics. Our results indicate that hydrologic variation and plant composition are drivers of marsh bird relative abundance regardless of whether a marsh is created or not. While some habitat features differed between created and reference sites, our results indicated that created marshes can support similar abundances of marsh birds as reference sites, depending on what habitat features are present at the site. Our study demonstrates the importance of creating marshes that promote hydrologic connectivity and water level variability, which in turn supports diverse emergent vegetation communities and provides suitable habitat for a variety of marsh bird species.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.14376","usgsCitation":"Lipford, A., Moran, L., Fowler, D., and King, S.L., 2025, Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.: Restoration Ecology, v. 33, no. 3, e14376, 14 p., https://doi.org/10.1111/rec.14376.","productDescription":"e14376, 14 p.","ipdsId":"IP-166318","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14376","text":"Publisher Index Page"},{"id":484855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.68365742439656,\n 30.64538637262305\n ],\n [\n -91.68365742439656,\n 28.66657042786551\n ],\n [\n -88.1916582539898,\n 28.66657042786551\n ],\n [\n -88.1916582539898,\n 30.64538637262305\n ],\n [\n -91.68365742439656,\n 30.64538637262305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipford, Aylett","contributorId":353640,"corporation":false,"usgs":false,"family":"Lipford","given":"Aylett","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Leah L.K.","contributorId":353641,"corporation":false,"usgs":false,"family":"Moran","given":"Leah L.K.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262012,"text":"70262012 - 2025 - Automating physics-based models to estimate thermoelectric-power water use","interactions":[],"lastModifiedDate":"2025-01-10T17:08:02.343623","indexId":"70262012","displayToPublicDate":"2025-01-05T11:02:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Automating physics-based models to estimate thermoelectric-power water use","docAbstract":"Thermoelectric (TE) power plants withdraw more water than any other sector of water use in the United States and consume water at rates that can be significant especially in water-stressed regions. Historical TE water-use data have been inconsistent, incomplete, or discrepant, resulting in an increased research focus on improving the accuracy and availability of TE water-use data using modeling approaches. This paper describes and benchmarks new code that was developed to automate and update a physics-based TE water use model that was previously published. Utilizing the automated physics-based model, monthly TE-power water withdrawal and consumption were calculated for a total of 1341 TE power plants for the 2008–2020 historical reanalysis. The updated and automated physics-based thermoelectric-power water-use model provides spatially and temporally relevant TE water-use estimates that are consistent, reproducible, transparent, and can be generated efficiently for water-using, utility-scale TE-power plants across conterminous United States (CONUS).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2024.106265","usgsCitation":"Harris, M.A., Diehl, T.H., Gorman Sanisaca, L.E., Galanter, A.E., Lombard, M.A., Skinner, K.D., Chamberlin, C.A., McCarthy, B.A., Niswonger, R.G., Stewart, J.S., and Valseth, K., 2025, Automating physics-based models to estimate thermoelectric-power water use: Environmental Modelling and Software, v. 185, 106265, 16 p., https://doi.org/10.1016/j.envsoft.2024.106265.","productDescription":"106265, 16 p.","ipdsId":"IP-156740","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":466666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2024.106265","text":"Publisher Index Page"},{"id":466004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Melissa A. 0000-0003-2659-9763 mharris@usgs.gov","orcid":"https://orcid.org/0000-0003-2659-9763","contributorId":1903,"corporation":false,"usgs":true,"family":"Harris","given":"Melissa","email":"mharris@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Timothy H. 0000-0001-9691-2212 thdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":546,"corporation":false,"usgs":true,"family":"Diehl","given":"Timothy","email":"thdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":210381,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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2025 - Holding time or fixative formulation has no obvious effect on histology of Porites evermanni and Montipora capitata","interactions":[],"lastModifiedDate":"2025-05-12T15:31:21.533766","indexId":"70258604","displayToPublicDate":"2025-01-05T10:27:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Holding time or fixative formulation has no obvious effect on histology of Porites evermanni and Montipora capitata","title":"Holding time or fixative formulation has no obvious effect on histology of Porites evermanni and Montipora capitata","docAbstract":"Collection of coral for histologic examination requires holding of samples in seawater for a time before they are fixed for histologic processing. This could adversely affect the interpretation of morphologic changes during histologic examinations. We evaluated the microscopic morphology of Porites evermanni and Montipora capitata held (0–120 minutes) in seawater prior to fixation in Z-Fix formulated with raw or artificial seawater. We saw no evident effects of treatments on microscopic morphology. However, among 88 statistical comparisons, and after accounting for false discovery rate, holding time prior to fixation was associated with a significant increase in degree of mucosity of basal body walls.
","language":"English","publisher":"Sage","doi":"10.1177/03009858241309403","usgsCitation":"Work, T.M., Singakharn, C., Webb, A., Chan, N., and Dennis, M., 2025, Holding time or fixative formulation has no obvious effect on histology of Porites evermanni and Montipora capitata: Veterinary Pathology, v. 62, no. 3, p. 355-359, https://doi.org/10.1177/03009858241309403.","productDescription":"5 p.","startPage":"355","endPage":"359","ipdsId":"IP-169883","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":913349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singakharn, Chutimon","contributorId":344291,"corporation":false,"usgs":false,"family":"Singakharn","given":"Chutimon","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":913350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Amy","contributorId":344292,"corporation":false,"usgs":false,"family":"Webb","given":"Amy","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":913351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chan, Norton","contributorId":344293,"corporation":false,"usgs":false,"family":"Chan","given":"Norton","affiliations":[{"id":82326,"text":"State of Hawaii","active":true,"usgs":false}],"preferred":false,"id":913352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennis, Michelle 0000-0002-9075-2032","orcid":"https://orcid.org/0000-0002-9075-2032","contributorId":310343,"corporation":false,"usgs":false,"family":"Dennis","given":"Michelle","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":913353,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262294,"text":"70262294 - 2025 - Exposure to the Polychlorinated biphenyl mixture Aroclor 1254 elicits neurological and cardiac developmental effects in early life stage zebrafish (Danio rerio)","interactions":[],"lastModifiedDate":"2025-01-16T16:19:08.483483","indexId":"70262294","displayToPublicDate":"2025-01-03T10:16:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure to the Polychlorinated biphenyl mixture Aroclor 1254 elicits neurological and cardiac developmental effects in early life stage zebrafish (Danio rerio)","title":"Exposure to the Polychlorinated biphenyl mixture Aroclor 1254 elicits neurological and cardiac developmental effects in early life stage zebrafish (Danio rerio)","docAbstract":"The goal of this study was to compare the bioaccumulation of the PCB mixture Aroclor 1254 in zebrafish to cardiac and neurologic outcomes. The establishment of effect concentrations (ECs) for cardiac and neurotoxic effects of PCBs in early life stage fish is challenging due to a lack of measured PCB concentrations in test media (e.g., fish tissue), the lack of standard exposure methods, and the propensity of PCBs to adsorb to test glassware and materials resulting in discrepancies in ECs from different studies with similar endpoints. Reporting tissue concentrations in test organisms will allow for standardization across different tests and thus may improve estimations of effect thresholds. Early life stage zebrafish (Danio rerio) are a common environmental toxicological model well represented within the literature, making them ideal for comparisons across multiple studies. Embryos were exposed at 6 h post fertilization (hpf) to aqueous Aroclor 1254 for 96 h with or without renewal in addition to a PCB 126 positive control for cardiotoxicity. PCB concentrations were measured in both exposure solutions and tissue samples. Measured concentrations of Aroclor 1254 in test solutions ranged from 8.7% to 870% of nominal concentrations. Heart rate, pericardial edema, and neurological endpoints (eye tremors) were measured in 102 hpf larvae. Pericardial edema was not present in Aroclor 1254-treated zebrafish but was observed in those exposed to PCB-126. Concentration-dependent bradycardia was observed in zebrafish exposed to Aroclor 1254 and PCB-126. Similarly, a concentration-dependent increase in eye tremor behavior was observed in embryos exposed to Aroclor 1254. Data produced by this study demonstrate novel toxicological effects of Aroclor 1254 and highlight the importance of measuring PCBs in both exposure and receptor media.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2024.144023","usgsCitation":"Green, C., Morris, J.M., Magnuson, J.T., Leads, R., Lay, C., Gielazyn, M., Rosman, L., Schlenk, D., and Roberts, A., 2025, Exposure to the Polychlorinated biphenyl mixture Aroclor 1254 elicits neurological and cardiac developmental effects in early life stage zebrafish (Danio rerio): Chemosphere, v. 371, 144023, 11 p., https://doi.org/10.1016/j.chemosphere.2024.144023.","productDescription":"144023, 11 p.","ipdsId":"IP-167313","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":489892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2024.144023","text":"Publisher Index Page"},{"id":466637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Corey A.","contributorId":348784,"corporation":false,"usgs":false,"family":"Green","given":"Corey A.","affiliations":[{"id":83408,"text":"Eastern New Mexico University","active":true,"usgs":false}],"preferred":false,"id":923760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Jeffrey M.","contributorId":172778,"corporation":false,"usgs":false,"family":"Morris","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":923761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":923762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leads, Rachel","contributorId":348785,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","affiliations":[{"id":34637,"text":"University of North Texas","active":true,"usgs":false}],"preferred":false,"id":923763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lay, Claire R.","contributorId":348786,"corporation":false,"usgs":false,"family":"Lay","given":"Claire R.","affiliations":[{"id":83409,"text":"Abt Global","active":true,"usgs":false}],"preferred":false,"id":923764,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gielazyn, Michel","contributorId":348787,"corporation":false,"usgs":false,"family":"Gielazyn","given":"Michel","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":923765,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosman, Lisa","contributorId":348788,"corporation":false,"usgs":false,"family":"Rosman","given":"Lisa","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":923766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":923767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, Aaron P.","contributorId":348789,"corporation":false,"usgs":false,"family":"Roberts","given":"Aaron P.","affiliations":[{"id":34637,"text":"University of North Texas","active":true,"usgs":false}],"preferred":false,"id":923768,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263809,"text":"70263809 - 2025 - Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees","interactions":[],"lastModifiedDate":"2026-02-10T13:54:18.948383","indexId":"70263809","displayToPublicDate":"2025-01-03T09:55:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees","docAbstract":"Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. Reduced taxonomic α-diversity is often reported under land use change, yet the impacts could be different at larger spatial scales (i.e., γ-diversity), either due to reduced β-diversity amplifying diversity loss or increased β-diversity dampening diversity loss. Additionally, studies often focus on taxonomic diversity, while other important biodiversity components, including phylogenetic diversity, can exhibit differential responses. Here, we evaluated how agricultural and urban land use alters the taxonomic and phylogenetic α-, β-, and γ-diversity of an important pollinator taxon—bees. Using a multicontinental dataset of 3117 bee assemblages from 157 studies, we found that taxonomic α-diversity was reduced by 16%–18% in both agricultural and urban habitats relative to natural habitats. Phylogenetic α-diversity was decreased by 11%–12% in agricultural and urban habitats. Compared with natural habitats, taxonomic and phylogenetic β-diversity increased by 11% and 6% in urban habitats, respectively, but exhibited no systematic change in agricultural habitats. We detected a 22% decline in taxonomic γ-diversity and a 17% decline in phylogenetic γ-diversity in agricultural habitats, but γ-diversity of urban habitats was not significantly different from natural habitats. These findings highlight the threat of agricultural expansions to large-scale bee diversity due to systematic γ-diversity decline. In addition, while both urbanization and agriculture lead to consistent declines in α-diversity, their impacts on β- or γ-diversity vary, highlighting the need to study the effects of land use change at multiple scales.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70006","usgsCitation":"Tsang, T., De Santis, A., Armas-Quiñonez, G., Ascher, J., Ávila-Gómez, E., Baldi, A., Ballare, K., Balzan, M., Banaszak-Cibicka, W., Bänsch, S., Basset, Y., Bates, A., Baumann, J., Beal-Neves, M., Bennett, A., Bezerra, A., Blochtein, B., Bommarco, R., Brosi, B., Burkle, L., Carvalheiro, L., Castellanos Ignacio, Cely-Santos, M., Cohen, H., Coulibaly, D., Cunningham, S., Cusser, S., Dajoz, I., Delaney, D., Del-Val, E., Egerer, M., Eichhorn, M., Enríquez, E., Entling, M., Escobedo-Kenefic, N., Ferreira, P., Fitch, G., Forrest, J., Fournier, V., Fowler Robert, Freitas, B., Gaines-Day, H., Geslin, B., Ghazoul, J., Glaum, P., Gonzalez-Andujar, J., González-Chaves, A., Grab, H., Gratton, C., Guenat, S., Gutiérrez-Chacón, C., Hall, M., Hanley, M.E., Hass, A., Hennig, E., Hermy, M., Hipólito, J., Holzschuh, A., Hopfenmüller, S., Hung, K., Hylander, K., Izquierdo, J., Jamieson, M., Jauker, B., Javorek, S., Jha, S., Klatt, B., Kleijn, D., Klein, A., Kovacs-Hostyanszki, A., Krauss, J., Kuhlmann, M., Landaverde-González, P., Latty, T., Leong, M., Lerman, S.B., Liu, Y., Machado, A., Main, A., Mallinger, R., Mandelik, Y., Marques, B., Matteson, K., McCune, F., Meng, L., Metzger, J.P., Montoya-Pfeiffer, P., Morales, C., Morandin, L., Morrison, J., Mudri-Stojnić, S., Nalinrachatakan, P., Norfolk, O., Otieno, M., Park, M., Philpott, S.M., Pisanty, G., Plascencia, M., Potts, S., Power, E., Prendergast, K., Quistberg, R., Ramos, D., Rech, A., Reynolds, V., Richards, M., Roberts, S., Sabatino, M., Samnegård, U., Sardinas, H., Sánchez-Echeverría, K., Saturni, F., Scheper, J., Sciligo, A., Sidhu, C., Spiesman, B., Sritongchuay, T., Steffan-Dewenter, I., Stein, K., Stewart, A., Stout, J., Taki, H., Tangtorwongsakul, P., Threlfall, C., Tinoco, C., Tscharntke, T., Turo, K., Vaidya, C., Vandame, R., Vergara, C., Viana, B., Vides-Borrell, E., Warrit, N., Webb, E.B., Westphal, C., Wickens, J., Williams, N.M., Williams, N., Wilson, C., Wu, P., Youngsteadt, E., Zou, Y., Ponisio, L., and Bonebrake, T.C., 2025, Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees: Global Change Biology, v. 31, no. 1, e70006, 18 p., https://doi.org/10.1111/gcb.70006.","productDescription":"e70006, 18 p.","ipdsId":"IP-158643","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482453,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487676,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/2117/424637","text":"Publisher Index Page"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Tsang, Toby P.N.","contributorId":351302,"corporation":false,"usgs":false,"family":"Tsang","given":"Toby P.N.","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":928357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Santis, A.A. 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